CN118330166A - Cloud intelligent real-time water quality monitoring and analyzing system - Google Patents
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Abstract
The invention belongs to the technical field of water quality monitoring and analysis, and particularly relates to a cloud intelligent real-time water quality monitoring and analysis system. The system comprises a water body sampling box, a transfer machine and a cloud server; the water sampling box further comprises a water sampling module for collecting water quality index data of the target water area; the communication module is also used for uploading the collected water quality index data to the transfer machine; the transfer machine is also used for receiving the data of the water body sampling box, carrying out local data caching and synchronization, and uploading the data to the cloud server; the cloud server further comprises an analysis module, wherein the analysis module is used for analyzing the water quality according to the water quality index data and monitoring the water quality in real time; and the method is also used for analyzing the change trend of pollutants and comparing the change trend with historical data to predict potential water quality problems. The technical scheme can improve the efficiency and effectiveness of water quality monitoring and analysis.
Description
Technical Field
The invention belongs to the technical field of water quality monitoring and analysis, and particularly relates to a cloud intelligent real-time water quality monitoring and analysis system.
Background
With the increasing severity of environmental pollution problems, water quality monitoring becomes an important link for environmental protection and water resource management. Traditional water quality monitoring relies on manual sampling and laboratory analysis, so that the water quality monitoring system is long in time consumption, low in efficiency, difficult to realize in-situ monitoring and often misses the optimal treatment time. In recent years, while some automated monitoring stations have begun to deploy, they are mostly limited to fixed locations, limited coverage, and inadequate data processing and analysis capabilities. In addition, these systems often lack intelligent analysis and remote alarm functions, and can not effectively integrate historical data to conduct trend prediction, so that the application efficiency of the system in water resource protection is limited.
In recent years, developments in internet of things (IoT), cloud computing, and big data analysis technologies have provided new solutions for water quality monitoring. By deploying the sensor network, wide area coverage and continuous monitoring can be realized, but how to efficiently integrate the scattered data, analyze in real time and respond to abnormal conditions quickly still remains a key problem to be solved by the current technology. In particular, equipment stability, reliability of data transmission and intelligent analysis capability of a cloud processing platform in a complex water environment are challenges facing the prior art.
Disclosure of Invention
The invention aims at: the cloud intelligent water quality real-time monitoring and analyzing system has the advantages that the water quality monitoring and analyzing efficiency and effectiveness can be improved.
In order to achieve the above purpose, an embodiment of the present disclosure provides a cloud intelligent real-time water quality monitoring and analyzing system, including a water sampling box, a transfer machine and a cloud server;
The water sampling box further comprises a water sampling module for collecting water quality index data of the target water area; the communication module is used for uploading the collected water quality index data to the transfer machine;
the transfer machine is also used for receiving the data of the water body sampling box, carrying out local data caching and synchronization, and uploading the data to the cloud server;
The cloud server further comprises an analysis module, wherein the analysis module is used for analyzing the water quality according to the water quality index data and monitoring the water quality in real time; and the method is also used for analyzing the change trend of pollutants and comparing the change trend with historical data to predict potential water quality problems.
The basic scheme has the beneficial effects that: through the water sampling module, the system can realize automatic and accurate water quality data acquisition, greatly improves the water sample acquisition efficiency and the real-time of acquisition, and simultaneously provides a more accurate and comprehensive data basis for subsequent water quality analysis. The communication module is combined with the transfer machine, so that data can be transmitted to the cloud server in real time and stably, a sample is not required to be brought back to a laboratory, time consumption and complicated operation of sample collection and transfer are avoided, and monitoring efficiency is improved. Because the general signal coverage of the water area is weak, the communication of the water sampling box can be ensured through the transfer machine, so that the water sampling box can be more flexibly distributed in the water area, the coverage area is enlarged, and the coverage and sampling effectiveness and stability are improved; on the other hand, the local data caching and synchronizing function of the transfer machine ensures the integrity and reliability of the data, and can ensure the normal transmission of the data even under the condition of poor communication conditions. The analysis module on the cloud server can deeply mine and process the water quality index data by utilizing a data analysis technology. The method can monitor the water quality condition in real time, discover possible problems in time, predict potential water quality problems by analyzing the comparison of the pollutant change trend and the historical data, provide powerful data support for related decisions, and simultaneously, optimize monitoring and analysis algorithms easily because the analysis is carried out at the cloud.
As a practical preferred scheme, the water sampling module comprises a plurality of high-precision multi-parameter water quality sensors which are used for collecting a plurality of water quality indexes, wherein the water quality indexes comprise dissolved oxygen, pH value, turbidity and heavy metal content.
As an implementation preferred scheme, the cloud server further comprises a storage module, wherein the storage module is used for storing real-time and historical water quality index data uploaded by the transfer machine, and the storage module is further used for carrying out standardized processing and indexing on the data.
As an implementation preferred scheme, the analysis module is used for statistically analyzing the variation trend of the water quality parameter, identifying the periodicity and trend variation of the pollutant concentration along with time, and establishing a prediction model of the water quality parameter; the system is also used for extracting historical water quality data under the condition same as or similar to the current monitoring point from the storage module and finding out a historical data set most similar to the current water quality condition; and predicting the water quality change trend in a future period by utilizing the historical data set training prediction model.
As an implementation preferable scheme, the system also comprises an alarm module, a control module and a control module, wherein the alarm module is used for triggering an alarm mechanism to push alarm information when a water quality problem occurs, and giving a preliminary treatment suggestion based on the current water quality condition; and also for issuing an alarm signal when the analysis module predicts a potential water quality problem.
As an implementation preferable scheme, the alarm module is used for setting an early warning threshold value of the concentration of the pollutant according to historical data and environmental standards, and sending out an alarm signal when the real-time monitoring data is close to or exceeds the early warning threshold value; the alarm module is also used for sending out an alarm signal when the analysis module predicts a potential water quality problem.
As an implementation preferred scheme, the cloud server further comprises a position management module, wherein the position management module is used for generating a water sampling module layout position according to the geographical data of a water area and the number of laid water sampling modules, deciding and adjusting the distribution position of the water sampling modules, and generating and sending control signals;
the transfer machine receives the control signal of the cloud server and transfers the control signal to the corresponding water body sampling box;
the communication module is used for receiving the control signal forwarded by the transfer machine;
the water body sampling box further comprises a positioning module and an adjusting module, wherein the positioning module is used for determining the position of the water body sampling box; and the adjusting module is used for adjusting the position of the water body sampling box in the water area according to the control instruction.
As an implementation preferred scheme, the cloud server further comprises an information acquisition module, wherein the information acquisition module is used for acquiring geographical data of a water area, and the geographical data of the water area comprises water area characteristics, hydrological conditions and regional characteristics; the position management module determines sampling nodes according to geographical data of a water area, wherein the sampling nodes comprise key nodes and non-key nodes, and the key nodes comprise a river basin inlet, a tributary sink inlet, an important bridge, a potential pollution source and an ecology sensitive area; the non-key nodes are sampling nodes of the interval area between the key nodes; determining the number of the water body sampling boxes according to the geographic characteristics; and determining the specific layout position of the water body sampling box near the sampling key node according to the hydrologic condition.
As one implementation preference, the geographic features include river basin area, flow direction, and tributary distribution; the hydrologic conditions include flow rate, water level variation and tide; the regional characteristics include potential pollution sources including industrial discharge points, agricultural drainage points, and municipal sewage points, and ecologically sensitive areas including natural protection areas and water source areas.
As an implementation preferred scheme, the cloud server further comprises a sampling management module, which is used for managing the sampling frequency of the water sampling box and generating and sending control signals; the water body sampling box further comprises an adjusting module which is used for adjusting the sampling frequency of the water body sampling box according to the control instruction.
Drawings
FIG. 1 is a schematic diagram of a cloud intelligent real-time water quality monitoring and analysis system;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical scheme of the present application and the advantages thereof more clear, the technical scheme of the present application will be described in further detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting thereof. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be regarded as being isolated, and they may be combined with each other to achieve a better technical effect. The same reference numerals appearing in the drawings of the embodiments described below represent the same features or components and are applicable to the different embodiments.
Furthermore, unless defined otherwise, technical or scientific terms used in the description of the invention should be given the ordinary meaning as understood by one of ordinary skill in the art to which the invention pertains.
Furthermore, it should be noted that in the description of the present invention, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
The invention is described in further detail below with reference to the accompanying drawings:
Reference numerals illustrate: an electronic device 500, a processor 501, a communication interface 502, a memory 503, a bus 504.
Example 1
Referring to fig. 1, a cloud intelligent water quality real-time monitoring and analyzing system includes:
The water sampling box comprises a water sampling module, a communication module, a positioning module and an adjusting module.
The water sampling module is used for collecting water quality index data of a target water area and comprises a plurality of high-precision multi-parameter water quality sensors which are used for collecting a plurality of water quality indexes, wherein the water quality indexes comprise dissolved oxygen, pH value, turbidity, heavy metal content and the like. The water quality sensor is mounted in the water sampling tank.
And the communication module is connected with the transfer machine by adopting a wireless communication technology (such as LoRa, NB-IoT and the like) and is used for uploading the collected water quality index data to the transfer machine and receiving the control signal.
And the positioning module is used for determining the position of the water level sampling box.
And the adjusting module is used for adjusting the position and the sampling frequency of the water body sampling box in the water area according to the control instruction.
The transfer machine is used for receiving the water body sampling box data, carrying out local data caching and synchronization, and uploading the data to the cloud server. Because the water area is because the signal coverage reason, the base station signal can not be searched by the water sampling box, and the long-time base station that connects uses mobile communication technology consumption is also higher, consequently carry the transit aircraft by the staff during sampling work or lay in the peripheral region of target waters, can gather the water sampling box data of gathering current waters fast and conveniently, reduce water sampling box consumption simultaneously, when the network is unstable or no network (remote area etc.), transit aircraft also can carry out data preservation, upload again after waiting to be connected to the network, ensure that data can not lose.
The transfer machine is also used for receiving control signals of the cloud server to the water body sampling boxes and transferring the control signals to the corresponding water body sampling boxes.
The cloud server comprises a storage module, an analysis module and an alarm module.
The storage module is used for storing real-time and historical water quality index data uploaded by the transfer machine, and is also used for carrying out standardized processing and indexing on the data so as to improve the query efficiency and facilitate quick retrieval of data with specific time periods or specific parameters.
The analysis module is used for carrying out deep analysis on the water quality according to the water quality index data, rapidly identifying abnormal conditions and monitoring the water quality in real time; and the method is also used for analyzing the change trend of pollutants and comparing the change trend with historical data to predict potential water quality problems.
The analysis module is used for counting and analyzing the variation trend of the water quality parameters, identifying the periodicity and trend change of the pollutant concentration along with time by utilizing a time sequence analysis technology, and establishing a prediction model of the water quality parameters. And the system is also used for extracting the historical water quality data under the condition same as or similar to the current monitoring point from the storage module and finding out a historical data set most similar to the current water quality condition. And predicting the water quality change trend in a future period by utilizing the historical data set training prediction model.
The alarm module is used for triggering an alarm mechanism when a water quality problem occurs, pushing alarm information, and giving out preliminary treatment suggestions based on the current water quality condition, so that the abnormal condition of water quality can be responded in time. Specifically, the alarm module sets an early warning threshold value of the pollutant concentration according to the historical data and the environmental standard, and sends out an alarm signal when the real-time monitoring data is close to or exceeds the early warning threshold value. The alarm module is also used for sending out an alarm signal when the analysis module predicts a potential water quality problem.
The position management module is used for generating the layout positions of the water sampling modules according to the geographical data of the water area and the number of the laid water sampling modules, and is also used for deciding and adjusting the distribution positions of the water sampling modules, generating control signals and sending the control signals to the water sampling boxes.
Example two
The distinguishing technical feature of the present embodiment from the first embodiment is that the cloud server further includes an information acquisition module, configured to acquire geographic data of a water area, such as a water area feature, a hydrologic condition, and a regional feature. Geographic features include river basin area, flow direction, tributary distribution, etc.; hydrologic conditions include flow rate, water level variation, tide, etc.; the regional characteristics include potential pollution sources including industrial discharge points, agricultural drainage points, municipal sewage points and the like, and ecologically sensitive areas including natural protection areas, water source areas and the like.
The position management module determines sampling nodes according to geographical data of a water area, wherein the sampling nodes comprise key nodes and non-key nodes, and the key nodes comprise a river basin inlet, a tributary sink inlet, an important bridge, a potential pollution source, an ecologically sensitive area and the like; the non-key nodes are sampling nodes of the interval area between the key nodes; determining the number of the water body sampling boxes according to the geographic characteristics, wherein the larger the area of the river basin is, the more the flow direction and branch distribution are, the more the number of the water body sampling boxes are; the concrete layout position of the water body sampling box near the sampling key node is determined according to the hydrologic condition, so that the water body sampling box is prevented from being influenced by flow velocity, water level change, tide and the like, and cannot work effectively.
Example III
The distinguishing technical features of the present embodiment and the second embodiment are that the information collecting module is further configured to collect weather and weather conditions of the water area and the upstream area, so as to obtain a rainy season time and a dry season time of the water area. The analysis module is also used for analyzing the water quality change rule.
The cloud server further comprises a sampling management module for managing the sampling frequency of the water sampling box and generating and sending control signals.
Firstly, initializing a population, determining a population scale P, expressing each individual as a potential sampling frequency configuration scheme, randomly generating an initial population, and expressing the sequence of the sampling frequency of each water sampling box at a time point by the gene of each individual.
Assuming that n water sampling boxes are arranged in the river, calculating the fitness for each individual in the populationAdaptation degreeThe formula is defined as follows:
Wherein, The adaptation degree (the value range of i is 1 to n) of a single water body sampling box,The total adaptability of the water sampling boxes arranged in the target water area is summed; the seasonal variation factor is a value in the range of 0-1 according to the rainfall; Weighting coefficients for seasonal variation factors; is a water quality change factor and is used for measuring the change amplitude of water quality parameters in historical data, Standard deviation of historical water quality data; weighting the water quality change factors; As a cost factor of the cost of the product, For the sampling frequency to be the same,The method is characterized in that the method is single sampling cost, the sampling cost comprises the consumption of electric quantity and consumable materials of a water body sampling box, and the sampling cost is reduced as much as possible; weighting the cost factors; as a representative factor of the data, In order to sample the point data,As the average data of the water body,As a correlation measure, the sampling points can represent the water quality condition of the whole water body as far as possible; is a representative factor weight for the data.
Selecting individual, and determining selected probability according to fitness value of individualThe formula is as follows:
setting the initial crossing rate within the range of 0.6-1 and the initial mutation rate within the range of 0.001-0.1; selecting individuals to cross according to the crossing rate, randomly selecting a certain point of the individuals, and exchanging all genes after the point; and selecting individuals to mutate according to the mutation rate, randomly selecting one or more gene loci of the individuals to invert, thereby generating a new population, and completing iteration.
And as the iteration times are increased, the crossover rate is gradually reduced, the mutation rate is gradually increased, the fitness is repeatedly calculated, and the iteration is carried out until the optimal fitness reaches a preset threshold value, and the iteration is stopped. The sampling management module outputs the individual with the highest fitness as a sampling frequency configuration scheme.
Because operation is carried out at the cloud, the generated control signals are sent to the water body sampling box through the transfer machine, extra power consumption is not caused to the water body sampling box, meanwhile, the sampling frequency can be optimized, and the power consumption of the water body sampling box is balanced and the sampling is effectively carried out.
The embodiment of the disclosure also provides a cloud intelligent water quality real-time monitoring and analyzing method, which uses the cloud intelligent water quality real-time monitoring and analyzing system in any embodiment.
The embodiment of the disclosure also provides a storage medium, in which a computer program is stored, and when the computer program is executed by a processor, all the steps of the cloud end intelligent water quality real-time monitoring and analyzing method in the embodiment can be realized.
Those skilled in the art will appreciate that implementing all or part of the cloud intelligent water quality real-time monitoring and analyzing method may be accomplished by instructing the relevant hardware by a computer program, where the program may be stored in a non-volatile computer readable storage medium, and the program may include the flow of each embodiment of the cloud intelligent water quality real-time monitoring and analyzing method when executed. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The embodiment of the application also provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the cloud end intelligent water quality real-time monitoring and analyzing method in any embodiment when executing the program. In the embodiment of the application, the processor is a control center of the computer system, and can be a processor of a physical machine or a processor of a virtual machine.
Referring to fig. 2, the electronic device 500 includes: at least one processor 501, at least one communication interface 502, at least one memory 503, and at least one bus 504. Where bus 504 is used to enable connectivity communications between these components, communication interface 502 is used to communicate signaling or data with other node devices, and memory 503 stores machine readable instructions executable by processor 501. When the electronic device 500 is running, the processor 501 and the memory 503 communicate through the bus 504, and the machine readable instructions when invoked by the processor 501 perform the steps of the cloud-end intelligent water quality real-time monitoring and analyzing method according to any of the embodiments described above.
The foregoing is merely exemplary of the present application, and the specific structures and features well known in the art will not be described in any way, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which the application pertains, without the general knowledge of the specific structures and features of the application, before the filing date or the priority date, with the ability to apply the conventional practice of the application, as it would be well known to those skilled in the art, with the benefit of this disclosure, to make various embodiments with the ability to work in mind, and to make certain typical structures or methods well known to those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (10)
1. Cloud intelligent water quality real-time monitoring and analysis system, its characterized in that: the system comprises a water body sampling box, a transfer machine and a cloud server;
The water sampling box further comprises a water sampling module for collecting water quality index data of the target water area; the communication module is used for uploading the collected water quality index data to the transfer machine;
the transfer machine is also used for receiving the data of the water body sampling box, carrying out local data caching and synchronization, and uploading the data to the cloud server;
The cloud server further comprises an analysis module, wherein the analysis module is used for analyzing the water quality according to the water quality index data and monitoring the water quality in real time; and the method is also used for analyzing the change trend of pollutants and comparing the change trend with historical data to predict potential water quality problems.
2. The cloud intelligent real-time water quality monitoring and analysis system of claim 1, wherein: the water sampling module comprises a plurality of high-precision multi-parameter water quality sensors and is used for collecting a plurality of water quality indexes, wherein the water quality indexes comprise dissolved oxygen, pH value, turbidity and heavy metal content.
3. The cloud intelligent real-time water quality monitoring and analysis system of claim 1, wherein: the cloud server further comprises a storage module, wherein the storage module is used for storing real-time and historical water quality index data uploaded by the transfer machine, and the storage module is further used for carrying out standardized processing and indexing on the data.
4. The cloud intelligent real-time water quality monitoring and analysis system of claim 1, wherein: the analysis module is used for counting and analyzing the variation trend of the water quality parameters, identifying the periodicity and trend variation of the pollutant concentration along with time and establishing a prediction model of the water quality parameters; the system is also used for extracting historical water quality data under the condition same as or similar to the current monitoring point from the storage module and finding out a historical data set most similar to the current water quality condition; and predicting the water quality change trend in a future period by utilizing the historical data set training prediction model.
5. The cloud intelligent real-time water quality monitoring and analysis system according to claim 1 or 4, wherein: the system also comprises an alarm module, a control module and a control module, wherein the alarm module is used for triggering an alarm mechanism to push alarm information when a water quality problem occurs, and giving a preliminary treatment suggestion based on the current water quality condition; and also for issuing an alarm signal when the analysis module predicts a potential water quality problem.
6. The cloud intelligent real-time water quality monitoring and analysis system of claim 5, wherein: the alarm module is used for setting an early warning threshold value of the concentration of the pollutant according to the historical data and the environmental standard, and sending out an alarm signal when the real-time monitoring data is close to or exceeds the early warning threshold value; the alarm module is also used for sending out an alarm signal when the analysis module predicts a potential water quality problem.
7. The cloud intelligent real-time water quality monitoring and analysis system of claim 1, wherein: the cloud server further comprises a position management module, wherein the position management module is used for generating water sampling module layout positions according to the geographical data of the water area and the number of the laid water sampling modules, deciding and adjusting the distribution positions of the water sampling modules, and generating and sending control signals;
the transfer machine receives the control signal of the cloud server and transfers the control signal to the corresponding water body sampling box;
the communication module is used for receiving the control signal forwarded by the transfer machine;
the water body sampling box further comprises a positioning module and an adjusting module, wherein the positioning module is used for determining the position of the water body sampling box; and the adjusting module is used for adjusting the position of the water body sampling box in the water area according to the control instruction.
8. The cloud intelligent real-time water quality monitoring and analysis system of claim 7, wherein: the cloud server further comprises an information acquisition module, wherein the information acquisition module is used for acquiring geographical data of a water area, and the geographical data of the water area comprise water area characteristics, hydrologic conditions and regional characteristics; the position management module determines sampling nodes according to geographical data of a water area, wherein the sampling nodes comprise key nodes and non-key nodes, and the key nodes comprise a river basin inlet, a tributary sink inlet, an important bridge, a potential pollution source and an ecology sensitive area; the non-key nodes are sampling nodes of the interval area between the key nodes; determining the number of the water body sampling boxes according to the geographic characteristics; and determining the specific layout position of the water body sampling box near the sampling key node according to the hydrologic condition.
9. The cloud intelligent real-time water quality monitoring and analysis system of claim 8, wherein: the geographic features include a river basin area, a flow direction, and a tributary distribution; the hydrologic conditions include flow rate, water level variation and tide; the regional characteristics include potential pollution sources including industrial discharge points, agricultural drainage points, and municipal sewage points, and ecologically sensitive areas including natural protection areas and water source areas.
10. The cloud intelligent real-time water quality monitoring and analysis system of claim 1, wherein: the cloud server further comprises a sampling management module, wherein the sampling management module is used for managing the sampling frequency of the water sampling box and generating and sending control signals; the water body sampling box further comprises an adjusting module which is used for adjusting the sampling frequency of the water body sampling box according to the control instruction.
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| CN118688415A (en) * | 2024-08-26 | 2024-09-24 | 浙江万里学院 | Coastal wetland water quality monitoring method and system |
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