CN114544450B - Waste gas on-line treatment monitoring system - Google Patents
Waste gas on-line treatment monitoring system Download PDFInfo
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- CN114544450B CN114544450B CN202210166673.9A CN202210166673A CN114544450B CN 114544450 B CN114544450 B CN 114544450B CN 202210166673 A CN202210166673 A CN 202210166673A CN 114544450 B CN114544450 B CN 114544450B
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Abstract
The invention provides an online waste gas treatment monitoring system, which comprises: the waste gas data acquisition module is used for acquiring waste gas data in the target space; and the waste gas data processing module is used for storing the waste gas data into a preset database and simultaneously carrying out standard analysis on the waste gas data. The invention collects and analyzes the waste gas data remotely and online without the operation of personnel on site, thereby reducing the labor cost and improving the working efficiency.
Description
Technical Field
The invention relates to the field of industrial waste gas monitoring and processing, in particular to a waste gas on-line processing and monitoring system.
Background
With the rapid development of the chemical industry, industrial waste gas has more and more complicated structures in composition, and great challenges are brought to the practical waste gas remediation. The waste gas treatment equipment achieves the purposes of protecting the environment and purifying the air by recovering or removing and reducing the harmful components of the waste gas by using different process technologies. In the operation process of the waste gas treatment equipment, real-time monitoring is needed, and leaks and safety accidents in waste gas treatment work are prevented. In the process of monitoring the working condition of the waste gas treatment equipment, the concentration of particulate matters and the data of gas pollutants in the waste gas need to be sampled and analyzed, the particulate matters and the data of the gas pollutants need to be manually collected on site, the labor cost is high, and the remote implementation cannot be realized.
Disclosure of Invention
The invention provides an online waste gas treatment and monitoring system which is provided with a waste gas data acquisition module and a waste gas data processing module, and is used for acquiring and analyzing waste gas data remotely and online without personnel on-site operation, so that the labor cost is reduced, and the working efficiency is improved.
The invention provides an online waste gas treatment monitoring system, which comprises:
the waste gas data acquisition module is used for acquiring waste gas data in the target area;
and the waste gas data processing module is used for storing the waste gas data into a preset database and simultaneously carrying out standard analysis on the waste gas data.
Further, the waste gas data acquisition module comprises a laser smoke dust instrument, a temperature and pressure flow all-in-one machine and a volatile organic compound sensor, the laser smoke dust instrument detects the concentration of particulate matters, and the temperature and pressure flow all-in-one machine and the volatile organic compound sensor detect gaseous pollutant data.
Further, still include: the waste gas data transmission module is used for transmitting the waste gas data acquired by the waste gas data acquisition module to the waste gas data processing module;
the exhaust gas data transmission module includes: a wireless network communication component and a controller;
the wireless network communication assembly is connected with the controller, and the controller controls the wireless network communication assembly to transmit the waste gas data to the waste gas data processing module.
Further, the exhaust gas data processing module comprises an oxygen concentration analysis unit, wherein the oxygen concentration analysis unit comprises a laser controller, a laser, a photoelectric detector and a phase-locked amplification circuit;
the oxygen concentration analysis unit performs the following operations:
the laser controller controls the laser to generate a laser signal with a preset wavelength;
the photoelectric detector collects the optical signal of the laser signal after the optical signal is absorbed by oxygen;
the phase-locked amplifying circuit amplifies and phase-locks the optical signal to obtain a second harmonic component;
extracting principal eigenvalues of the second harmonic component by a principal component extraction method;
learning the main characteristic value of the second harmonic component by using a back propagation neural network, and establishing and training an oxygen concentration inversion model;
and carrying out verification prediction by using the trained oxygen concentration inversion model to obtain the oxygen concentration.
Furthermore, the waste gas data processing module comprises a chlorine concentration analysis processing unit, and the chlorine concentration analysis processing unit comprises a chlorine sampling probe, a deuterium lamp, a collimating lens, a gas reflecting pool, a fiber optic spectrometer and a chlorine adsorption device; the chlorine adsorption device comprises carbon nanotubes and silica gel;
the chlorine concentration analysis processing unit performs the following operations:
the deuterium lamp emits ultraviolet light, and the ultraviolet light enters the gas reflection pool through the collimating lens;
under the condition that air exists in the gas reflecting pool, extracting original spectrum data by using the optical fiber spectrometer;
introducing chlorine collected by the chlorine sampling probe into the gas reflecting pool, and extracting an ultraviolet absorption spectrum signal after the chlorine is absorbed by using a fiber optic spectrometer;
deducting the original spectrum data from the ultraviolet absorption spectrum signal, and calculating to obtain ultraviolet absorption spectrum absorbance;
performing polynomial fitting processing on the absorbance of the ultraviolet absorption spectrum to obtain a differential absorption cross section of the chlorine gas, so as to obtain a chlorine gas differential absorption spectrum;
calculating an optical parameter corresponding to the chlorine according to the chlorine differential absorption spectrum, and obtaining a chlorine concentration value through optical parameter fitting;
the chlorine concentration analysis processing unit presets a normal chlorine concentration value, and when the chlorine concentration value is larger than the normal chlorine concentration value, the chlorine adsorption device is started to perform adsorption operation.
Further, still include: the exhaust gas data acquisition module is used for acquiring exhaust gas data of the target space;
the exhaust gas collection point position layout module executes the following operations:
training an exhaust gas collection point position layout model;
acquiring a space three-dimensional model of the target space;
and inputting the space three-dimensional model into the waste gas collection point location layout model to obtain a plurality of waste gas collection point locations, and finishing the layout.
Further, training the exhaust gas collection point position layout model comprises:
acquiring a plurality of first acquisition nodes;
acquiring the credibility of the first acquisition node;
if the reliability is less than or equal to a preset reliability threshold value, rejecting the corresponding first acquisition node;
when the first acquisition nodes needing to be removed are all removed, taking the first acquisition nodes which are removed as second acquisition nodes;
acquiring a plurality of first layout records of a plurality of artificial exhaust gas collection point position layouts through the second acquisition node;
extracting layout process information from the first layout record;
splitting the layout process information into a plurality of first layout process items, and sequencing the first layout process items according to the process sequence to obtain a layout process item sequence;
extracting a plurality of process features of the first layout process item based on a feature extraction technology;
acquiring a preset trigger feature library, matching the process features with first trigger features in the trigger feature library, if the process features are matched with the first trigger features in the trigger feature library, taking corresponding first layout process items as second layout process items, and simultaneously taking the matched first trigger features as second trigger features;
acquiring demand information corresponding to the second trigger characteristic, wherein the demand information comprises: a demand direction and a demand range;
determining the first layout process item in the demand range in the demand direction in the second layout process item in the layout process item sequence, and taking the first layout process item as a third layout process item;
integrating the second layout process item and the third layout process item to obtain information to be simulated;
acquiring a simulation process verification strategy corresponding to the second trigger characteristic;
acquiring a preset simulation space, inputting the information to be simulated into a preset layout process simulation model, and simulating the information to be simulated in the simulation space based on the layout process simulation model;
in the simulation process, performing simulation process verification based on the simulation process verification strategy, and if the simulation process verification fails, acquiring an influence value corresponding to the second trigger characteristic;
accumulating the influence values generated by calculation to obtain influence value sums;
if the sum of the influence values is larger than or equal to a preset influence threshold value, rejecting the corresponding first layout record;
when the first layout records needing to be removed are all removed, the remaining first layout records which are removed are used as second layout records;
and inputting the second layout record into a preset neural network training model, and performing model training to obtain a waste gas collection point position layout model.
Further, the method also comprises the following steps: the coping module is used for correspondingly coping when the exhaust gas data does not reach the standard;
the corresponding module executes the following operations:
acquiring a preset coping node set, wherein the coping node set comprises: a plurality of first correspondent nodes;
inquiring a preset corresponding record library, and determining a plurality of corresponding records corresponding to the first corresponding node;
acquiring a preset evaluation strategy set, wherein the evaluation strategy set comprises: a plurality of evaluation strategies;
evaluating the corresponding record based on the evaluation strategy to obtain an evaluation value;
acquiring an evaluation weight corresponding to the evaluation strategy, and calculating an evaluation index of the first corresponding node based on the evaluation value and the evaluation weight;
if the evaluation index is larger than or equal to a preset evaluation index threshold value, taking the corresponding first corresponding node as a second corresponding node;
acquiring the information of the substandard condition of the exhaust gas data, and acquiring the coping type corresponding to the second coping node, wherein the coping type comprises: active coping and passive coping;
when the coping type corresponding to the second corresponding node is active coping, acquiring a first coping strategy corresponding to the second corresponding node;
acquiring coping scene information corresponding to the first coping strategy;
extracting features of the information of the substandard condition to obtain a plurality of first features;
performing feature extraction on the corresponding scene information to obtain a plurality of second features;
matching the first feature with the second feature, and if the first feature and the second feature are matched, taking the matched first feature or the matched second feature as a third feature;
inquiring a preset feature-applicable value library, and determining an applicable value corresponding to the third feature;
accumulating and calculating the applicable values to obtain the sum of the applicable values;
if the sum of the applicable values is less than or equal to a preset applicable value and a preset threshold value, rejecting the corresponding second corresponding node;
when the coping type corresponding to the second corresponding node is passive coping, acquiring a second coping strategy corresponding to the second corresponding node;
acquiring a preset simulation space, and mapping the substandard condition in the simulation space;
acquiring a preset simulation execution model, and simulating and executing the second corresponding strategy in the simulation space based on the simulation execution model;
in the simulation execution process, acquiring a preset effect evaluation model, carrying out multiple evaluations on the simulation execution process, acquiring a plurality of effect values, and associating the effect values with the corresponding second corresponding nodes;
calculating a culling index of the second corresponding node based on the effect value;
if the rejection index is larger than or equal to a preset rejection index threshold value, rejecting the corresponding second corresponding node;
when the second corresponding nodes needing to be removed are all removed, the remaining second corresponding nodes which are removed are used as third corresponding nodes;
and randomly selecting an idle fourth corresponding node from the third corresponding nodes to correspondingly respond.
Furthermore, the device also comprises an anti-blocking device of the waste gas exhaust pipeline, which comprises a fixed frame, a heating device, a transmission device and a waste collection box; the fixed frame is vertically arranged close to the tail end of the exhaust pipeline, the heating device and the transmission device are arranged on the fixed frame, and the heating device comprises a power supply and a heating plate; the transmission device comprises a motor and a transmission rod; the waste collection box is arranged on one side of the exhaust pipeline; the transmission rod comprises a transmission input shaft and a transmission output shaft, and the lower end of the transmission output shaft extends into the exhaust pipeline; the lower end of the transmission output shaft is fixedly connected with a horizontally arranged exhaust fan blade; a power shaft of the motor is in transmission connection with a transmission input shaft of the transmission rod; the heating plate is arranged on the central line of the exhaust pipeline and distributed in a cylindrical structure, the outer part of the heating plate is in contact with the inner wall of the exhaust pipeline, and the upper end of the heating plate is fixedly connected with the lower end of the transmission output shaft; a heating rod is embedded in the heating plate; a material conveying groove with an opening at the outer side is arranged at the edge of the inner side of the heating plate, a waste material outlet is formed in the upper side part of the side wall of the exhaust pipeline, and a feed inlet of the waste material collecting box is connected with the waste material outlet; the power supply is electrically connected with the heating rod through a cable.
Further, the device also comprises a particle pollutant settling device, wherein the particle pollutant settling device is arranged at the front end of the waste gas spraying equipment and the rear end of the gas inlet; the device comprises a feeding resistance mechanism, a mesh screen mechanism and a cooling mechanism which are connected in sequence, wherein a waste box is connected outside the particle pollutant settling device;
the feeding prevention mechanism comprises a coiled pipe, wherein brushes are arranged on two sides of the inner wall of the coiled pipe, an angle of 45 degrees is formed between each brush and the plane extension direction of the coiled pipe, and each brush is made of high-temperature-resistant rubber; a baffle is arranged at the lower part in the serpentine pipe, and a gap is reserved between the edge of the baffle and the inner wall of the serpentine pipe; the baffle is parallel to the plane extension direction of the coiled pipe and inclines at a certain angle with the vertical direction of the coiled pipe wall, and a rotating shaft is arranged in the baffle; the bottom of the coiled pipe is provided with a first group of through holes, and the first group of through holes are connected to a waste material box;
the mesh screen mechanism comprises a straight pipe, three layers of mesh screens are vertically arranged in the straight pipe, and the aperture of the mesh screens of the three layers of mesh screens is sequentially reduced along the extension direction of the straight pipe; the spacing distances of the three layers of mesh screens are set according to equal difference proportion; the bottom of the straight pipe is provided with a second group of through holes, and the second group of through holes are connected with a waste material box;
the cooling mechanism comprises a trapezoidal pipe, and the caliber of the air inlet end of the trapezoidal pipe is larger than that of the air outlet end of the trapezoidal pipe; an opening is formed in the top of the inner wall of the trapezoid pipe, the opening is connected with an external liquid nitrogen supply device, a third group of through holes are formed in the bottom of the trapezoid pipe, and the third group of through holes are connected with a waste bin;
the rear ends of the feed resisting mechanism, the mesh screen mechanism and the cooling mechanism are respectively provided with a particulate matter concentration sensor for monitoring the use effect of the feed resisting mechanism, the mesh screen mechanism and the cooling mechanism, and when the data monitored by one particulate matter concentration sensor is greater than a preset threshold value, the effect of the mechanism where the particulate matter concentration sensor is located is reduced;
when the efficacy of one mechanism of one particle pollutant settling device is reduced, the other particle pollutant settling device is started to work, and meanwhile, the particle pollutant settling device with the reduced efficacy is disassembled, cleaned or maintained to replace accessories.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of an on-line exhaust treatment monitoring system according to the present invention;
FIG. 2 is a schematic diagram of the method of operating the oxygen concentration analysis unit of the present invention;
FIG. 3 is a schematic diagram of the operation of a chlorine concentration analyzing and treating unit according to the present invention;
FIG. 4 is a schematic view of the exhaust collection point location placement module operating method of the present invention;
FIG. 5 is a schematic structural view of the anti-blocking device for the exhaust pipe according to the present invention;
fig. 6 is a schematic structural view of the particulate contamination precipitation device of the present invention.
In the figure: 1. an exhaust duct; 2. a power source; 3. heating plates; 4. a motor; 5. a transmission rod; 6. a waste collection bin; 7. an exhaust fan blade; 8. a fixed mount; 9. a feed stopping mechanism; 10. a mesh screening mechanism; 11. a cooling mechanism; 12. a brush; 13. three layers of mesh screens; 14. a liquid nitrogen supply device; 15. particulate matter concentration sensor.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
An embodiment of the present invention provides an online exhaust gas treatment monitoring system, as shown in fig. 1, including:
the waste gas data acquisition module is used for acquiring waste gas data in the target area;
and the waste gas data processing module is used for storing the waste gas data into a preset database, and meanwhile, carrying out standard analysis on the waste gas data.
The working principle of the technical scheme is as follows: the waste gas data acquisition module is used for acquiring the concentration of particulate matters in the waste gas and the oxygen content data of gaseous pollutants; the exhaust gas data processing module is used for storing the particulate matter concentration and the gaseous pollutant data into a database preset by the exhaust gas data processing module, and the preset database updates the collected particulate matter concentration and gaseous pollutant data in real time; simultaneously, exhaust gas data processing module carries out concentration analysis to particulate matter concentration and gaseous pollutant data in the database, carries out corresponding processing according to the analysis result, discharges again after waste gas reaches emission standard, reveals the condition to the toxic gas that appears and in time handles.
The beneficial effects of the above technical scheme are: adopt the scheme that this embodiment provided, through setting up exhaust gas data acquisition module and exhaust gas data processing module, realized the collection and the analysis to particulate matter concentration and gaseous pollutant data in the waste gas to corresponding processing, can accurately gather exhaust gas data in real time, handle in time to the condition that influences exhaust emission.
In one embodiment, the exhaust data collection module comprises a laser soot instrument, a warm-pressure-flow all-in-one machine and a volatile organic compound sensor, wherein the laser soot instrument detects the particulate matter concentration, and the warm-pressure-flow all-in-one machine and the volatile organic compound sensor detect the gaseous pollutant data.
The working principle of the technical scheme is as follows: the waste gas data acquisition module comprises a laser soot instrument, a temperature-pressure flow all-in-one machine and a volatile organic compound sensor, wherein the laser soot instrument adopts a laser scattering principle, so that laser irradiates suspended particulate matters in the air to generate scattering, and meanwhile, scattered light is collected at a certain specific angle to obtain a curve of the variation of scattered light intensity along with time, so that the concentration of the particulate matters is detected; collecting oxygen content data of gaseous pollutants by a temperature-pressure-flow integrated machine; and (3) ionizing gas by utilizing a volatile organic compound sensor through ultraviolet light, and detecting the concentration of the volatile organic compound.
The beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, the accurate detection of the concentration of the particulate matters is realized through the sampling of the laser soot instrument, the acquisition of the oxygen content data of the gaseous pollutants is realized through the temperature-pressure flow all-in-one machine, and the concentration of the volatile organic compounds is detected through the volatile organic compound sensor; by using advanced acquisition equipment, the exhaust gas data can be accurately and comprehensively acquired.
In one embodiment, further comprising: the waste gas data transmission module is used for transmitting the waste gas data acquired by the waste gas data acquisition module to the waste gas data processing module;
the exhaust gas data transmission module includes: a wireless network communication component and a controller;
the wireless network communication assembly is connected with the controller, and the controller controls the wireless network communication assembly to transmit the waste gas data to the waste gas data processing module.
The working principle of the technical scheme is as follows: the waste gas data transmission module is used for transmitting the waste gas data acquired by the waste gas data acquisition module to the waste gas data processing module;
the exhaust gas data transmission module includes: a wireless network communication component and a controller;
the wireless network communication assembly is connected with the controller, and the controller controls the wireless network communication assembly to transmit the waste gas data to the waste gas data processing module.
The wireless network transmission assembly utilizes the sensor, and through the wireless network protocol, realizes the communication of waste gas data acquisition module and waste gas data processing module, passes through communication network with the particulate matter concentration and the gaseous pollutant data of waste gas data acquisition module collection and conveys waste gas data processing module.
The beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, the wireless communication network is established between the waste gas data transmission module and the waste gas data processing module, and the data is transmitted in a wireless transmission mode, so that the real-time accuracy of data transmission can be realized.
In one embodiment, as shown in fig. 2, the exhaust gas data processing module comprises an oxygen concentration analysis unit comprising a laser controller, a laser, a photodetector, and a phase-locked amplification circuit;
the oxygen concentration analysis unit performs the following operations:
the laser controller controls the laser to generate a laser signal with a preset wavelength;
the photoelectric detector collects the optical signal of the laser signal after the optical signal is absorbed by oxygen;
the phase-locked amplifying circuit amplifies and phase-locks the optical signal to obtain a second harmonic component;
extracting principal eigenvalues of the second harmonic component by a principal component extraction method;
learning the main characteristic value of the second harmonic component by using a back propagation neural network, and establishing and training an oxygen concentration inversion model;
and carrying out verification prediction by using the trained oxygen concentration inversion model to obtain the oxygen concentration.
The working principle of the technical scheme is as follows: the waste gas data processing module comprises an oxygen concentration analysis unit, and the oxygen concentration analysis unit comprises a laser controller, a laser, a photoelectric detector and a phase-locked amplification circuit;
the oxygen concentration analysis unit analyzes the oxygen concentration by using a wavelength modulation spectroscopy technology based on tunable semiconductor laser absorption spectroscopy;
the laser controller controls the laser to generate a laser signal with a fixed wavelength, the laser is a distributed feedback laser, the laser signal absorbs oxygen after passing through an oxygen detection target space, the oxygen component is received by the photoelectric detector, an optical signal absorbed by the oxygen is generated, the optical signal is amplified by the phase-locked amplifying circuit and is subjected to phase-locked processing, and a second harmonic component is obtained; extracting main characteristic values of the second harmonic component by a principal component extraction method;
the BP neural network is a multilayer feedforward neural network and is mainly characterized in that: signals propagate forward, while errors propagate backward; in the embodiment, a back propagation neural network is used for learning the main characteristic value of the second harmonic component, and an oxygen concentration inversion model is established and trained;
in the application of the BP neural network, the weight is adjusted according to the negative gradient direction of an error function, the optimization calculation is easy to fall into a local minimum value, in addition, the BP neural network determines the weight in an iterative updating mode, an initial weight and a threshold are needed, and the initial weight and the threshold of a BP neural network inversion model are optimized and improved by using a genetic algorithm; and finally, carrying out verification prediction by using the trained oxygen concentration inversion model to obtain the oxygen concentration.
The beneficial effects of the above technical scheme are: the scheme provided by the embodiment is adopted, based on tunable semiconductor laser absorption spectrum, the tunable semiconductor laser absorption spectrum has the advantages of high resolution, high sensitivity, high stability, good selectivity, real-time performance, dynamic performance and the like, the high-precision measurement of oxygen concentration can be realized, the principal component extraction method is used for extracting the intensity values of the second harmonics at different wavelengths, the dimensionality of spectral data can be reduced, the noise interference in partial second harmonics is removed, the problem of multiple collinearity is avoided, and the later-stage data processing speed can be improved.
In one embodiment, as shown in fig. 3, the exhaust gas data processing module comprises a chlorine concentration analysis processing unit, and the chlorine concentration analysis processing unit comprises a chlorine sampling probe, a deuterium lamp, a collimating lens, a gas reflecting pool, a fiber optic spectrometer and a chlorine adsorption device; the chlorine adsorption device comprises carbon nanotubes and silica gel;
the chlorine concentration analysis processing unit performs the following operations:
the deuterium lamp emits ultraviolet light, and the ultraviolet light enters the gas reflecting pool through the collimating lens;
under the condition that air exists in the gas reflecting pool, extracting original spectrum data by using the optical fiber spectrometer;
introducing chlorine collected by the chlorine sampling probe into the gas reflecting pool, and extracting an ultraviolet absorption spectrum signal after the chlorine is absorbed by using a fiber optic spectrometer;
deducting the original spectrum data from the ultraviolet absorption spectrum signal, and calculating to obtain ultraviolet absorption spectrum absorbance;
performing polynomial fitting processing on the absorbance of the ultraviolet absorption spectrum to obtain a differential absorption cross section of the chlorine gas, so as to obtain a chlorine gas differential absorption spectrum;
calculating an optical parameter corresponding to the chlorine according to the chlorine differential absorption spectrum, and obtaining a chlorine concentration value through optical parameter fitting;
the chlorine concentration analysis processing unit presets a normal value of the chlorine concentration, and when the value of the chlorine concentration is larger than the normal value of the chlorine concentration, the chlorine adsorption device is started to perform adsorption operation.
The working principle of the technical scheme is as follows: the waste gas data processing module comprises a chlorine concentration analysis processing unit, and the chlorine concentration analysis processing unit comprises a chlorine sampling probe, a deuterium lamp, a collimating lens, a gas reflecting pool, an optical fiber spectrometer and a chlorine adsorption device; the chlorine adsorption device comprises a carbon nano tube and silica gel;
the differential absorption spectroscopy technology utilizes characteristic absorption of various gas molecules in an ultraviolet visible band to distinguish gases and invert the concentration of the gases when light is transmitted in the atmosphere, and the embodiment adopts the technology to invert the concentration of chlorine in a target space;
a light beam transmitted in a medium interacts with the medium; when the medium is a certain gas, the light beam is transmitted on an optical path with a fixed optical path, the change of the radiation intensity can be expressed by the Lambert-beer law, and the concentration of the gas can be measured according to the Lambert-beer law;
the chlorine concentration analysis processing unit performs the following operations:
the deuterium lamp emits a deep ultraviolet broadband light source, the deep ultraviolet broadband light source enters the gas reflection pool through the collimating lens, the collimating lens can ensure that an emergent light beam of the deuterium lamp light source has good collimation performance, the utilization rate of the light source can be increased, the efficiency of coupling the light beam to the gas reflection pool can be improved, the gas reflection pool is designed into a multi-reflection structure based on the principle of a white pool, and the gas reflection pool has the characteristics of long light path and small volume;
under the condition that air exists in the gas reflecting pool, extracting original spectrum data by using the optical fiber spectrometer;
collecting chlorine by using a chlorine sampling probe, introducing the collected chlorine into a gas reflecting pool, and extracting an ultraviolet absorption spectrum signal after the chlorine is absorbed by using an optical fiber spectrometer;
deducting original spectrum data from the ultraviolet absorption spectrum signal, and calculating to obtain ultraviolet absorption spectrum absorbance;
the gas concentration inversion by the differential absorption spectroscopy technology is to carry out least square fitting on a differential absorption cross section of the gas concentration inversion and differential optical density obtained by experimental measurement to obtain the gas concentration; the differential absorption cross section is a fast change part obtained by carrying out high-pass digital filtering on the standard cross section; when the technology is used for inverting conventional polluted gas, a high-pass digital filtering method which is usually adopted for a standard section is trigonometric function filtering, the actually measured absorption spectrum is subjected to the same treatment, and then the differential absorption optical density is obtained; however, chlorine has a special standard absorption cross section, and has a more obvious difference compared with the characteristic absorption structure of most conventional polluted gases, and when the treatment is carried out by adopting a trigonometric function filtering method, the obtained differential absorption cross section has only one more obvious absorption peak; when the differential absorption cross section is used for fitting the actually measured chlorine differential absorption spectrum, the method cannot be accurately used for inverting the chlorine concentration.
In this embodiment, a polynomial fitting is directly used to obtain a differential absorption cross section of chlorine for the absorbance of the ultraviolet absorption spectrum, so as to obtain a chlorine differential absorption spectrum; and then calculating an optical parameter corresponding to the chlorine according to the chlorine differential absorption spectrum, and obtaining a chlorine concentration value through optical parameter fitting.
The chlorine concentration analysis processing unit presets a normal chlorine concentration value, wherein the normal chlorine concentration value is a concentration value of the chlorine content meeting the standard in the exhaust emission, and when the chlorine concentration value is larger than the normal chlorine concentration value, the chlorine adsorption device is started to perform adsorption operation.
The beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, the chlorine gas sample can be accurately collected by adopting the chlorine gas sampling probe; the differential absorption spectrum technology is utilized, and the method has the characteristics of high time resolution and low detection limit; aiming at the characteristic that the standard cross section of the chlorine is smoother, a polynomial fitting filtering method is adopted, so that the precision value of chlorine measurement is improved; the chlorine adsorption device composed of the carbon nano tubes and the silica gel has strong adsorption capacity and better adsorption effect compared with an activated carbon material.
In one embodiment, as shown in fig. 4, further comprising: the exhaust gas data acquisition module is used for acquiring exhaust gas data of the target space;
the exhaust gas collection point position layout module executes the following operations:
training an exhaust gas collection point position layout model;
acquiring a space three-dimensional model of the target space;
and inputting the space three-dimensional model into the waste gas collection point location layout model to obtain a plurality of waste gas collection point locations, and finishing the layout.
The working principle of the technical scheme is as follows: the exhaust gas data acquisition module is used for acquiring exhaust gas data;
the exhaust gas collection point position layout module executes the following operations:
training a waste gas collection point location layout model, and carrying out the layout of collection point locations according to the model;
acquiring a space three-dimensional model of a target space, and acquiring space information of the target space according to the space three-dimensional model;
the space three-dimensional model is input into the waste gas collection point location layout model, the position information of the target space can be contrasted with the collection point location layout position through the two models, a plurality of waste gas collection point locations are obtained, and layout is completed.
The beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, the position in the target space can be visually and completely presented by adopting the space three-dimensional model through training the waste gas collection point position layout model, so that the point positions can be clearly distributed and collected, scientific, reasonable, full and complete collection of waste gas data in the target space can be ensured, and the accuracy of data collection is ensured.
In one embodiment, training the exhaust collection point location placement model comprises:
acquiring a plurality of first acquisition nodes;
acquiring the credibility of the first acquisition node; the method comprises the following steps:
acquiring a credit value of the first acquisition node;
acquiring a guarantee value of the first acquisition node;
and calculating the reliability of the first acquisition node according to the credit value and the guarantee value, wherein a calculation formula is as follows:
wherein M is the credibility of the first acquisition node, L i For the ith said credit value corresponding to said first acquisition node, D is the total number of said credit values corresponding to said first acquisition node, J t For the tth said wagering value corresponding to said first acquisition node, O is the total number of said wagering values corresponding to said first acquisition node, μ 1 And mu 2 The weight value is a preset weight value, and sigma is a preset correction coefficient;
when the reliability of the first acquisition node is less than or equal to a preset reliability threshold value, rejecting the corresponding first acquisition node;
when the first acquisition nodes needing to be removed are all removed, taking the first acquisition nodes which are removed as second acquisition nodes;
if the reliability is less than or equal to a preset reliability threshold value, rejecting the corresponding first acquisition node;
when the first acquisition nodes needing to be removed are all removed, taking the first acquisition nodes which are removed as second acquisition nodes;
acquiring a plurality of first layout records of a plurality of artificial exhaust gas collection point position layouts through the second acquisition node;
extracting layout process information from the first layout record;
splitting the layout process information into a plurality of first layout process items, and sequencing the first layout process items according to the process sequence to obtain a layout process item sequence;
extracting a plurality of process features of the first layout process item based on a feature extraction technology;
acquiring a preset trigger feature library, matching the process features with first trigger features in the trigger feature library, if the process features are matched with the first trigger features in the trigger feature library, taking corresponding first layout process items as second layout process items, and simultaneously taking the matched first trigger features as second trigger features;
acquiring demand information corresponding to the second trigger characteristic, wherein the demand information comprises: a demand direction and a demand range;
determining the first layout process item in the demand range in the demand direction in the second layout process item in the layout process item sequence, and taking the first layout process item as a third layout process item;
integrating the second layout process item and the third layout process item to obtain information to be simulated;
acquiring a simulation process verification strategy corresponding to the second trigger characteristic;
acquiring a preset simulation space, inputting the information to be simulated into a preset layout process simulation model, and simulating the information to be simulated in the simulation space based on the layout process simulation model;
in the simulation process, performing simulation process verification based on the simulation process verification strategy, and if the simulation process verification fails, acquiring an influence value corresponding to the second trigger characteristic;
accumulating and calculating the generated influence values to obtain a sum of the influence values;
if the sum of the influence values is larger than or equal to a preset influence threshold value, rejecting the corresponding first layout record;
when the first layout records needing to be removed are all removed, the remaining first layout records which are removed are used as second layout records;
and inputting the second layout record into a preset neural network training model, and performing model training to obtain a waste gas collection point position layout model.
The working principle of the technical scheme is as follows: when the exhaust gas collection point location layout model is trained, a plurality of first acquisition nodes are acquired, the first acquisition nodes correspond to an information collector (such as a big data collection mechanism), the credibility of the first acquisition nodes is acquired, if the credibility is low, the acquisition is unreliable, and the first acquisition nodes are rejected; acquiring a plurality of first layout records (manually acquiring the whole process record of point location layout) by removing the remaining second acquisition nodes, extracting layout process information, and splitting the layout process information into a plurality of first layout process items; extracting process characteristics, matching the process characteristics with first trigger characteristics in a preset trigger characteristic library (a large number of trigger characteristics are stored, the trigger characteristics are unreasonable layout process suspected characteristics), if the process characteristics are matched with the first trigger characteristics, indicating that the process is unreasonable, further simulation verification is needed, and acquiring requirement information corresponding to second trigger characteristics matched with the first trigger characteristics, wherein the requirement information comprises a requirement direction (such as front and back) and a requirement range (time range), because of the relevance between the manual layout processes, when the simulation verification is performed, the second layout process item cannot be simulated independently, and determining a third layout process item based on the requirement information and integrating the third layout process item to obtain information to be simulated; in addition, a simulation process checking strategy (for example, checking whether the layout process is unreasonable) corresponding to the matched second trigger characteristics is obtained, based on the simulation process, checking is carried out in the simulation process, if the checking is not passed, unreasonable seating is indicated, a corresponding influence value is obtained, the larger the influence value is, the larger the influence on the first layout record is, and when the sum of the accumulated influence values is too large, the corresponding first layout record is not credible and should be removed; inputting the second layout records with the residues removed into a preset neural network training model, and performing model training to obtain a waste gas collection point position layout model;
the beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, when the waste gas collection point location layout model is trained, the first acquisition node is screened and verified based on the reliability, and the first layout information is also screened and verified, so that the accuracy, timeliness, effectiveness and stability of the layout record data of a plurality of collection point locations are ensured, the training quality of the waste gas collection point location layout model is fully ensured, and the capability of distributing and collecting point locations is improved; in addition, when the first layout information is screened and verified, the trigger feature library is set, verification resources are saved, demand information is set, layout process items which need to be integrated and simulated together are quickly determined, and verification efficiency is improved.
In one embodiment, further comprising:
the coping module is used for correspondingly coping when the exhaust gas data does not reach the standard;
the coping module performs the following operations:
acquiring a preset corresponding node set, wherein the corresponding node set comprises: a plurality of first corresponding nodes;
inquiring a preset corresponding record library, and determining a plurality of corresponding records corresponding to the first corresponding node;
acquiring a preset evaluation strategy set, wherein the evaluation strategy set comprises: a plurality of evaluation strategies;
evaluating the corresponding record based on the evaluation strategy to obtain an evaluation value;
obtaining an evaluation weight corresponding to the evaluation strategy, and calculating an evaluation index of the first corresponding node based on the evaluation value and the evaluation weight, wherein the calculation formula is as follows:
wherein ε is an evaluation index of the first corresponding node, K m,n For applying the first application pair based on the mth evaluation strategyAn evaluation value, β, obtained after evaluation of the nth response record corresponding to the node m For evaluating the total number of the coping records corresponding to the first coping node based on the mth evaluation policy, G m The evaluation weight corresponding to the mth evaluation strategy is defined, and alpha is the total number of the evaluation strategies;
if the evaluation index is larger than or equal to a preset evaluation index threshold value, taking the corresponding first corresponding node as a second corresponding node;
acquiring the information of the substandard condition of the exhaust gas data, and acquiring the coping type corresponding to the second coping node, wherein the coping type comprises: active coping and passive coping;
when the coping type corresponding to the second corresponding node is active coping, acquiring a first coping strategy corresponding to the second corresponding node;
acquiring coping scene information corresponding to the first coping strategy;
extracting features of the information of the substandard condition to obtain a plurality of first features;
performing feature extraction on the corresponding scene information to obtain a plurality of second features;
matching the first feature with the second feature, and if the first feature and the second feature are matched, taking the matched first feature or the matched second feature as a third feature;
inquiring a preset feature-applicable value library, and determining an applicable value corresponding to the third feature;
accumulating and calculating the applicable values to obtain the sum of the applicable values;
if the sum of the applicable values is less than or equal to a preset applicable value and a preset threshold value, rejecting the corresponding second corresponding node;
when the coping type corresponding to the second corresponding node is passive coping, acquiring a second coping strategy corresponding to the second corresponding node;
acquiring a preset simulation space, and mapping the substandard condition in the simulation space;
acquiring a preset simulation execution model, and simulating and executing the second corresponding strategy in the simulation space based on the simulation execution model;
in the simulation execution process, acquiring a preset effect evaluation model, performing multiple evaluations on the simulation execution process to acquire multiple effect values, and associating the effect values with the corresponding second corresponding nodes;
calculating the rejection index of the second corresponding node based on the effect value, wherein the calculation formula is as follows:
wherein δ is a rejection index of the second corresponding node, U S (ii) is the S-th said effect value associated with the second correspondent node, a being the total number of said effect values;
if the rejection index is larger than or equal to a preset rejection index threshold value, rejecting the corresponding second corresponding node;
when the second corresponding nodes needing to be removed are all removed, the remaining second corresponding nodes which are removed are used as third corresponding nodes;
and randomly selecting an idle fourth corresponding node from the third corresponding nodes to correspondingly respond.
The working principle of the technical scheme is as follows: when the waste gas data does not reach the standard (harmful gas exceeds the standard), corresponding response is needed; the method comprises the steps of acquiring a plurality of first coping nodes (corresponding to one coping party), inquiring a preset coping record base (containing coping records on histories of different coping parties), and evaluating the nodes through different evaluation strategies (for example: evaluating a long-term effect, evaluating a short-term effect, etc.) corresponding records, calculating an evaluation index (in the formula, the evaluation value and the evaluation weight are positively correlated with the evaluation index and reasonably set) based on the evaluation value and an evaluation weight corresponding to the evaluation strategy (the evaluation weight is larger, and the confidence level of evaluation by using the corresponding evaluation strategy is higher), if the evaluation index is greater than or equal to a preset evaluation index threshold, indicating that a historical coping situation is excellent, as a second coping node, acquiring a coping type thereof, wherein the coping type is divided into active coping (coping processing is performed locally) and passive coping (coping is performed by other parties, for example: handing over other parties), when the coping type is active coping, because the coping is performed locally, acquiring a first coping strategy thereof, acquiring corresponding scenario information thereof (a certain exhaust gas data non-standard situation), extracting the first feature and the second feature for matching respectively, if the coping is realized, determining a third feature corresponding to the evaluation index corresponding to be matched based on a preset feature-applicable value library (including applicable values corresponding to different features, the applicable values are larger, indicating that the corresponding feature matching node is not capable of processing the current exhaust gas data, determining that the third feature corresponding to be matched is more applicable values, and if the applicable values are not to be matched, the applicable values are less than the preset evaluation index threshold, and the applicable values are less than the applicable values, and if the corresponding to be calculated, the applicable values are not to be calculated, the applicable values are equal to be calculated; when the coping type is passive coping, the accuracy of a second coping strategy provided by a node cannot be ensured, simulation verification is required, the condition of failing to reach the standard is mapped in a simulation space, the corresponding second coping strategy is simulated and executed based on a preset simulation execution model (pre-training for simulating the execution strategy), evaluation is carried out based on a preset effect evaluation model (pre-training for coping processing effect evaluation) in the simulation execution process, an effect value is obtained, the effect value is better if the effect value is larger, a rejection index is calculated based on the effect value (in a formula, the effect value and the rejection index are in negative correlation and are reasonably set), if the effect value is larger than or equal to a preset rejection index threshold value, simulation verification is failed, rejection is carried out, and a free fourth coping node in a third coping node which is left is rejected is randomly selected for coping;
the beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, when the waste gas data does not meet the standard, the waste gas data is responded, and the waste gas data is ensured to be processed in time; in addition, during response, the response is realized based on a plurality of response nodes, and the response is not limited to local response personnel, some response processing can be realized by remotely controlling related valves, so that other parties can be handed in to respond, and the response capability and comprehensiveness are improved; meanwhile, historical capability screening is carried out on the first coping node, and careful screening is also respectively carried out based on different coping types, so that coping capability of the selected fourth coping node is ensured, and coping processing efficiency is further improved.
In one embodiment, the device also comprises an anti-blocking device of an exhaust gas exhaust pipeline, as shown in fig. 5, comprising a fixed frame 8, a heating device, a transmission device and a waste collection box 6; the fixed frame 8 is vertically arranged close to the tail end of the exhaust pipeline 1, the heating device and the transmission device are arranged on the fixed frame 8, and the heating device comprises a power supply 2 and a heating plate 3; the transmission device comprises a motor 4 and a transmission rod 5; the waste collection box 6 is arranged on one side of the exhaust pipeline 1; the transmission rod 5 comprises a transmission input shaft and a transmission output shaft, and the lower end of the transmission output shaft extends into the exhaust pipeline 1; the lower end of the transmission output shaft is fixedly connected with a horizontally arranged exhaust fan blade 7; a power shaft of the motor 4 is in transmission connection with a transmission input shaft of the transmission rod 5; the heating plate 3 is arranged on the central line of the exhaust pipeline 1 and distributed in a cylindrical structure, the outer part of the heating plate 3 is contacted with the inner wall of the exhaust pipeline 1, and the upper end of the heating plate 3 is fixedly connected with the lower end of the transmission output shaft; a heating rod is embedded in the heating plate 3; a material conveying groove with an opening at the outer side is arranged at the edge of the inner side of the heating plate 3, a waste material outlet is arranged at the upper side part of the side wall of the exhaust pipeline 1, and a feed inlet of the waste material collecting box 6 is connected with the waste material outlet; the power supply 2 is electrically connected with the heating rod through a cable.
The working principle of the technical scheme is as follows: the anti-blocking device of the exhaust gas exhaust pipeline comprises a fixed frame 8, a heating device, a transmission device and a waste collection box 6; the fixing frame 8 is vertically arranged close to the tail end of the exhaust pipeline 1, the heating device and the transmission device are arranged on the fixing frame 8, and the heating device comprises a power supply 2 and a heating plate 3; the transmission device comprises a motor 4 and a transmission rod 5; the waste collection box 6 is arranged on one side of the exhaust pipeline 1; the transmission rod 5 comprises a transmission input shaft and a transmission output shaft, and the lower end of the transmission output shaft extends into the exhaust pipeline 1; the lower end of the transmission output shaft is fixedly connected with a horizontally arranged exhaust fan blade 7; a power shaft of the motor 4 is in transmission connection with a transmission input shaft of the transmission rod 5; the heating plate 3 is arranged on the central line of the exhaust pipeline 1 and distributed in a cylindrical structure, the outer part of the heating plate 3 is contacted with the inner wall of the exhaust pipeline 1, and the upper end of the heating plate 3 is fixedly connected with the lower end of the transmission output shaft; a heating rod is embedded in the heating plate 3; a material conveying groove with an opening at the outer side is arranged at the edge of the inner side of the heating plate 3, a waste material outlet is arranged at the upper side part of the side wall of the exhaust pipeline 1, and a feed inlet of the waste material collecting box 6 is connected with the waste material outlet; the power supply 2 is electrically connected with the heating rod through a cable.
The beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, the heating of the sediments in the pipeline is realized through the heating device and the transmission device, so that the sediments are cracked and gasified, and the probability of tar being adsorbed on the inner wall of the exhaust pipeline is reduced; the exhaust fan blades rotate to promote the waste materials after cracking and gasification to be discharged, and the exhaust efficiency is improved.
In one embodiment, as shown in fig. 6, the device further comprises a particle pollutant settling device, wherein the particle pollutant settling device is arranged at the front end of the exhaust gas spraying equipment and the rear end of the air inlet; the device comprises a feeding resistance mechanism 9, a mesh screen mechanism 10 and a cooling mechanism 11 which are connected in sequence, wherein a waste box is connected outside the particle pollutant settling device;
the feeding prevention mechanism 9 comprises a coiled pipe, wherein two sides of the inner wall of the coiled pipe are provided with brushes 12, the brushes 12 form an angle of 45 degrees with the plane extension direction of the coiled pipe, and the brushes 12 are made of high-temperature-resistant rubber; a baffle is arranged at the lower part in the coiled pipe, and a gap is reserved between the edge of the baffle and the inner wall of the coiled pipe; the baffle is parallel to the plane extension direction of the coiled pipe and inclines at a certain angle with the vertical direction of the coiled pipe wall, and a rotating shaft is arranged in the baffle; the bottom of the coiled pipe is provided with a first group of through holes, and the first group of through holes are connected to a waste material box;
the mesh screen mechanism 10 comprises a straight pipe, three layers of mesh screens 13 are vertically arranged in the straight pipe, and the mesh openings of the three layers of mesh screens 13 are sequentially reduced along the extension direction of the straight pipe; the spacing distances of the three layers of mesh screens 13 are set according to equal difference proportion; the bottom of the straight pipe is provided with a second group of through holes, and the second group of through holes are connected with a waste material box;
the cooling mechanism 11 comprises a trapezoidal pipe, and the caliber of the air inlet end of the trapezoidal pipe is larger than that of the air outlet end of the trapezoidal pipe; an opening is formed in the top of the inner wall of the trapezoid pipe, the opening is connected with an external liquid nitrogen supply device 14, a third group of through holes are formed in the bottom of the trapezoid pipe, and the third group of through holes are connected with a waste bin;
the rear ends of the feed resisting mechanism 9, the mesh screen mechanism 10 and the cooling mechanism 11 are respectively provided with a particulate matter concentration sensor 15 for monitoring the use effect of the feed resisting mechanism 9, the mesh screen mechanism 10 and the cooling mechanism 11, and when the data monitored by one particulate matter concentration sensor 15 is greater than a preset threshold value, the effect of the mechanism where the particulate matter concentration sensor 15 is located is reduced;
when the efficacy of one mechanism of one particle pollutant settling device is reduced, the other particle pollutant settling device is started to work, and meanwhile, the particle pollutant settling device with the reduced efficacy is disassembled, cleaned or maintained to replace accessories.
The working principle of the technical scheme is as follows: the particle pollutant settling device is arranged at the front end of the waste gas spraying equipment and at the rear end of the gas inlet; the device comprises a feed blocking mechanism 9, a mesh screen mechanism 10 and a cooling mechanism 11 which are connected in sequence, wherein a waste box is connected outside the particle pollutant settling device;
the feed stopping mechanism 9 comprises a coiled pipe, wherein two sides of the inner wall of the coiled pipe are provided with brushes 12, the brushes 12 form an angle of 45 degrees with the extension direction of the plane of the coiled pipe, and the brushes 12 are made of high-temperature-resistant rubber; a baffle is arranged at the lower part in the serpentine pipe, and a gap is reserved between the edge of the baffle and the inner wall of the serpentine pipe; the baffle is parallel to the plane extension direction of the coiled pipe, and inclines at a certain angle with the vertical direction of the coiled pipe wall, and a rotating shaft is arranged in the baffle; the bottom of the coiled pipe is provided with a first group of through holes, and the first group of through holes are connected to a waste material box; the feeding prevention mechanism stops the flow velocity of waste gas through the arrangement of the hairbrush, the baffle receives precipitated particles, and after the particles are accumulated to a certain amount, the baffle automatically turns over to enable the precipitated particles to fall into the bottom of the coiled pipe and fall into the waste material tank through the through hole at the bottom;
the mesh screen mechanism 10 comprises a straight pipe, three layers of mesh screens 13 are vertically arranged in the straight pipe, and the mesh openings of the three layers of mesh screens 13 are sequentially reduced along the extension direction of the straight pipe; the spacing distances of the three layers of mesh screens 13 are set according to equal difference proportion; the bottom of the straight pipe is provided with a second group of through holes, and the second group of through holes are connected with a waste material box; the mesh screens with different apertures can prevent and filter particles with different sizes, so that the particles fall into the through holes and fall into the waste bin through the through holes;
the cooling mechanism 11 comprises a trapezoid pipe, and the caliber of the air inlet end of the trapezoid pipe is larger than that of the air outlet end of the trapezoid pipe; an opening is formed in the top of the inner wall of the trapezoid pipe, the opening is connected with an external liquid nitrogen supply device 14, a third group of through holes are formed in the bottom of the trapezoid pipe, and the third group of through holes are connected with a waste bin; the volume of the particles is reduced when the particles meet cold through the cooling mechanism, so that the precipitation process is accelerated;
the rear ends of the feed resisting mechanism 9, the mesh screen mechanism 10 and the cooling mechanism 11 are respectively provided with a particulate matter concentration sensor 15 for monitoring the use effect of the feed resisting mechanism 9, the mesh screen mechanism 10 and the cooling mechanism 11, and when the data monitored by one particulate matter concentration sensor 15 is greater than a preset threshold value, the efficacy of the mechanism where the particulate matter concentration sensor 15 is located is reduced; the use effect of the particle pollutant settling device is detected through the particle concentration sensor, and control and adjustment are carried out in time;
the particle pollutant precipitation device is provided with two sets, when one set of particle pollutant precipitation device has a certain mechanism effect and is reduced, the other set of particle pollutant precipitation device is started to work, meanwhile, the particle pollutant precipitation device with the reduced effect is disassembled, cleaned or maintained to replace accessories, and the particle pollutant precipitation device is convenient to use and maintain by arranging the standby device.
The beneficial effects of the above technical scheme are: by adopting the scheme provided by the embodiment, the speed of the exhaust gas flow can be reduced by arranging the feed stopping mechanism in the particle pollutant settling device, so that the effect of settling the particle pollutants is achieved; further settling with a mesh screen design; through cooling treatment, the density distribution of particle pollutants is reduced, the flow rate is further reduced, the number of particle pollutants is reduced, and the efficient operation of the next spraying process treatment is facilitated.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An exhaust gas on-line treatment monitoring system, comprising:
the waste gas data acquisition module is used for acquiring waste gas data in the target space;
the waste gas data processing module is used for storing the waste gas data into a preset database and performing standard analysis on the waste gas data;
further comprising: the coping module is used for correspondingly coping when the exhaust gas data does not reach the standard;
the corresponding module executes the following operations:
acquiring a preset corresponding node set, wherein the corresponding node set comprises: a plurality of first corresponding nodes;
inquiring a preset corresponding record library, and determining a plurality of corresponding records corresponding to the first corresponding node;
acquiring a preset evaluation strategy set, wherein the evaluation strategy set comprises: a plurality of evaluation strategies;
evaluating the corresponding record based on the evaluation strategy to obtain an evaluation value;
acquiring an evaluation weight corresponding to the evaluation strategy, and calculating an evaluation index of the first corresponding node based on the evaluation value and the evaluation weight;
if the evaluation index is larger than or equal to a preset evaluation index threshold value, taking the corresponding first corresponding node as a second corresponding node;
acquiring the information of the substandard condition of the exhaust gas data, and acquiring the coping type corresponding to the second coping node, wherein the coping type comprises: active coping and passive coping;
when the coping type corresponding to the second corresponding node is active coping, acquiring a first coping strategy corresponding to the second corresponding node;
acquiring coping scene information corresponding to the first coping strategy;
extracting features of the information of the substandard condition to obtain a plurality of first features;
performing feature extraction on the corresponding scene information to obtain a plurality of second features;
matching the first feature with the second feature, and if the first feature and the second feature are matched, taking the matched first feature or the matched second feature as a third feature;
inquiring a preset feature-applicable value library, and determining an applicable value corresponding to the third feature;
accumulating and calculating the applicable values to obtain the sum of the applicable values;
if the sum of the applicable values is less than or equal to a preset applicable value and a preset threshold value, rejecting the corresponding second corresponding node;
when the coping type corresponding to the second corresponding node is passive coping, acquiring a second coping strategy corresponding to the second corresponding node;
acquiring a preset simulation space, and mapping the substandard condition in the simulation space;
acquiring a preset simulation execution model, and simulating and executing the second corresponding strategy in the simulation space based on the simulation execution model;
in the simulation execution process, acquiring a preset effect evaluation model, performing multiple evaluations on the simulation execution process to acquire multiple effect values, and associating the effect values with the corresponding second corresponding nodes;
calculating a culling index of the second corresponding node based on the effect value;
if the rejection index is larger than or equal to a preset rejection index threshold value, rejecting the corresponding second corresponding node;
when the second corresponding nodes needing to be removed are all removed, the remaining second corresponding nodes which are removed are used as third corresponding nodes;
and randomly selecting an idle fourth corresponding node from the third corresponding nodes to correspondingly respond.
2. The system for monitoring online processing of exhaust gas as recited in claim 1, wherein the exhaust gas data acquisition module comprises a laser soot instrument, a warm-pressure-flow all-in-one machine and a volatile organic compound sensor, the laser soot instrument detects particulate matter concentration, and the warm-pressure-flow all-in-one machine and the volatile organic compound sensor detect gaseous pollutant data.
3. The system for monitoring the on-line treatment of the exhaust gas as recited in claim 1, further comprising:
the waste gas data transmission module is used for transmitting the waste gas data acquired by the waste gas data acquisition module to the waste gas data processing module;
the exhaust gas data transmission module includes: a wireless network communication component and a controller;
the wireless network communication assembly is connected with the controller, and the controller controls the wireless network communication assembly to transmit the waste gas data to the waste gas data processing module.
4. The system for monitoring the online treatment of the exhaust gas as recited in claim 1, wherein the exhaust gas data processing module comprises an oxygen concentration analysis unit, and the oxygen concentration analysis unit comprises a laser controller, a laser, a photoelectric detector and a phase-locked amplification circuit;
the oxygen concentration analysis unit performs the following operations:
the laser controller controls the laser to generate a laser signal with a preset wavelength;
the photoelectric detector collects the optical signal of the laser signal after the optical signal is absorbed by oxygen;
the phase-locked amplifying circuit amplifies and phase-locks the optical signal to obtain a second harmonic component;
extracting principal eigenvalues of the second harmonic component by a principal component extraction method;
learning the main characteristic value of the second harmonic component by using a back propagation neural network, and establishing and training an oxygen concentration inversion model;
and carrying out verification prediction by using the trained oxygen concentration inversion model to obtain the oxygen concentration.
5. The system for on-line processing and monitoring of exhaust gas as recited in claim 1, wherein the exhaust gas data processing module comprises a chlorine concentration analyzing and processing unit, the chlorine concentration analyzing and processing unit comprises a chlorine sampling probe, a deuterium lamp, a collimating lens, a gas reflecting pool, a fiber optic spectrometer and a chlorine adsorbing device; the chlorine adsorption device comprises a carbon nano tube and silica gel;
the chlorine concentration analysis processing unit performs the following operations:
the deuterium lamp emits ultraviolet light, and the ultraviolet light enters the gas reflecting pool through the collimating lens;
under the condition that air exists in the gas reflecting pool, extracting original spectrum data by using the optical fiber spectrometer;
introducing chlorine collected by the chlorine sampling probe into the gas reflecting pool, and extracting an ultraviolet absorption spectrum signal after the chlorine is absorbed by using a fiber optic spectrometer;
deducting the original spectrum data from the ultraviolet absorption spectrum signal, and calculating to obtain ultraviolet absorption spectrum absorbance;
performing polynomial fitting processing on the absorbance of the ultraviolet absorption spectrum to obtain a differential absorption cross section of the chlorine gas, so as to obtain a chlorine gas differential absorption spectrum;
calculating an optical parameter corresponding to the chlorine according to the chlorine differential absorption spectrum, and obtaining a chlorine concentration value through optical parameter fitting;
the chlorine concentration analysis processing unit presets a normal chlorine concentration value, and when the chlorine concentration value is larger than the normal chlorine concentration value, the chlorine adsorption device is started to perform adsorption operation.
6. The system for monitoring the on-line treatment of the exhaust gas as recited in claim 1, further comprising:
the exhaust gas data acquisition module is used for acquiring exhaust gas data of the target space;
the exhaust gas collection point position layout module executes the following operations:
training an exhaust gas collection point position layout model;
acquiring a space three-dimensional model of the target space;
and inputting the space three-dimensional model into the waste gas collecting point location layout model to obtain a plurality of waste gas collecting point locations, and finishing the layout.
7. The system of claim 6, wherein training the exhaust collection point placement model comprises:
acquiring a plurality of first acquisition nodes;
acquiring the credibility of the first acquisition node;
if the reliability is less than or equal to a preset reliability threshold value, rejecting the corresponding first acquisition node;
when the first acquisition nodes needing to be removed are all removed, taking the first acquisition nodes which are removed as second acquisition nodes;
acquiring a plurality of first layout records of a plurality of artificial exhaust gas collection point position layouts through the second acquisition node;
extracting layout process information from the first layout record;
splitting the layout process information into a plurality of first layout process items, and sequencing the first layout process items according to the process sequence to obtain a layout process item sequence;
extracting a plurality of process features of the first layout process item based on a feature extraction technology;
acquiring a preset trigger feature library, matching the process features with first trigger features in the trigger feature library, if the process features are matched with the first trigger features in the trigger feature library, taking corresponding first layout process items as second layout process items, and simultaneously taking the matched first trigger features as second trigger features;
acquiring demand information corresponding to the second trigger characteristic, wherein the demand information comprises: a demand direction and a demand range;
determining the first layout process item in the demand range in the demand direction in the second layout process item in the layout process item sequence, and taking the first layout process item as a third layout process item;
integrating the second layout process item and the third layout process item to obtain information to be simulated;
acquiring a simulation process verification strategy corresponding to the second trigger characteristic;
acquiring a preset simulation space, inputting the information to be simulated into a preset layout process simulation model, and simulating the information to be simulated in the simulation space based on the layout process simulation model;
in the simulation process, performing simulation process verification based on the simulation process verification strategy, and if the simulation process verification fails, acquiring an influence value corresponding to the second trigger characteristic;
accumulating and calculating the generated influence values to obtain a sum of the influence values;
if the sum of the influence values is larger than or equal to a preset influence threshold value, rejecting the corresponding first layout record;
when the first layout records needing to be removed are all removed, the remaining first layout records which are removed are used as second layout records;
and inputting the second layout record into a preset neural network training model, and performing model training to obtain a waste gas collection point position layout model.
8. The on-line waste gas treatment monitoring system as set forth in claim 1, further comprising an anti-blocking device of a waste gas exhaust pipeline, comprising a fixing frame (8), a heating device, a transmission device and a waste collection box (6); the fixed frame (8) is vertically arranged close to the tail end of the exhaust pipeline (1), the heating device and the transmission device are arranged on the fixed frame (8), and the heating device comprises a power supply (2) and a heating plate (3); the transmission device comprises a motor (4) and a transmission rod (5); the waste collection box (6) is arranged on one side of the exhaust pipeline (1); the transmission rod (5) comprises a transmission input shaft and a transmission output shaft, and the lower end of the transmission output shaft extends into the exhaust pipeline (1); the lower end of the transmission output shaft is fixedly connected with a horizontally arranged exhaust fan blade (7); a power shaft of the motor (4) is in transmission connection with a transmission input shaft of the transmission rod (5); the heating plate (3) is arranged on the central line of the exhaust pipeline (1) and distributed in a cylindrical structure, the outer part of the heating plate (3) is in contact with the inner wall of the exhaust pipeline (1), and the upper end of the heating plate (3) is fixedly connected with the lower end of the transmission output shaft; a heating rod is embedded in the heating plate (3); a material conveying groove with an opening at the outer side is arranged at the edge of the inner side of the heating plate (3), a waste material outlet is formed in the upper side part of the side wall of the exhaust pipeline (1), and a feeding hole of the waste material collecting box (6) is connected with the waste material outlet; the power supply (2) is electrically connected with the heating rod through a cable.
9. The system for monitoring the online treatment of the exhaust gas as recited in claim 1, further comprising a particulate pollutant precipitation device, wherein the particulate pollutant precipitation device is arranged at the front end of the exhaust gas spraying equipment and at the rear end of the air inlet; the device comprises a feeding blocking mechanism (9), a mesh screening mechanism (10) and a cooling mechanism (11) which are connected in sequence, wherein a waste box is connected outside the particle pollutant settling device;
the feeding prevention mechanism (9) comprises a coiled pipe, wherein brushes (12) are arranged on two sides of the inner wall of the coiled pipe, an angle of 45 degrees is formed between each brush (12) and the plane extension direction of the coiled pipe, and each brush (12) is made of high-temperature-resistant rubber; a baffle is arranged at the lower part in the coiled pipe, and a gap is reserved between the edge of the baffle and the inner wall of the coiled pipe; the baffle is parallel to the plane extension direction of the coiled pipe and inclines at a certain angle with the vertical direction of the coiled pipe wall, and a rotating shaft is arranged in the baffle; the bottom of the coiled pipe is provided with a first group of through holes, and the first group of through holes are connected to a waste material box;
the mesh screen mechanism (10) comprises a straight pipe, three layers of mesh screens (13) are vertically arranged in the straight pipe, and the mesh openings of the three layers of mesh screens (13) are sequentially reduced along the extension direction of the straight pipe; the spacing distances of the three layers of mesh screens (13) are set according to equal difference proportion; the bottom of the straight pipe is provided with a second group of through holes, and the second group of through holes are connected with a waste box;
the cooling mechanism (11) comprises a trapezoidal pipe, and the caliber of the air inlet end of the trapezoidal pipe is larger than that of the air outlet end of the trapezoidal pipe; an opening is formed in the top of the inner wall of the trapezoid pipe, the opening is connected with an external liquid nitrogen supply device (14), a third group of through holes are formed in the bottom of the trapezoid pipe, and the third group of through holes are connected with a waste bin;
the rear ends of the feeding resistance mechanism (9), the mesh screen mechanism (10) and the cooling mechanism (11) are respectively provided with a particulate matter concentration sensor (15) which is used for monitoring the use effect of the feeding resistance mechanism (9), the mesh screen mechanism (10) and the cooling mechanism (11), and when the data monitored by one particulate matter concentration sensor (15) is greater than a preset threshold value, the efficacy of the mechanism where the particulate matter concentration sensor (15) is located is reduced;
when the efficacy of one mechanism of one particle pollutant settling device is reduced, the other particle pollutant settling device is started to work, and meanwhile, the particle pollutant settling device with the reduced efficacy is disassembled, cleaned or maintained to replace accessories.
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CN116380740B (en) * | 2023-05-16 | 2023-08-08 | 江苏省环境监测中心 | Waste gas concentration detection mechanism and use method thereof |
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-
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Non-Patent Citations (2)
Title |
---|
基于DOAS方法烟道污染气体在线监测系统的设计;张学典等;《传感技术学报》;20070915(第09期);1963-1966 * |
基于ZigBee技术的无线气体成分检测传感网络设计;明勇等;《激光杂志》;20150325(第03期);36-38 * |
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