CN105573257A - Remote monitoring method for sewage treatment - Google Patents
Remote monitoring method for sewage treatment Download PDFInfo
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- CN105573257A CN105573257A CN201410522469.1A CN201410522469A CN105573257A CN 105573257 A CN105573257 A CN 105573257A CN 201410522469 A CN201410522469 A CN 201410522469A CN 105573257 A CN105573257 A CN 105573257A
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Abstract
The invention discloses a remote monitoring method for sewage treatment, comprising the following steps: establishing a communication connection; using a field data collector to collect and process signals detected by a plurality of sensors deployed in sewage; using a 3G camera to shoot the running status of sewage treatment equipment installed in a sewage treatment station; carrying out data near-end and remote transmission; carrying out information display observation, analysis and control command sending; monitoring, controlling and managing field equipment; and raising the alarm for equipment operation fault. The system operation efficiency is improved, and the sewage treatment cost is reduced. The running status of remote sewage treatment equipment can be monitored in real time and reliably, and alarming and preliminary remote diagnosis can be carried out for the running fault of the sewage treatment equipment. The problems in the existing monitoring system, for example, the demand for heavy use of sensors and actuators of different types and feedback modes in the same system cannot be satisfied, resource allocation is not reasonable, and the system is of low real-time performance and reliability, are solved effectively.
Description
Technical field
The present invention relates to a kind of method for supervising, especially relate to a kind of long-distance monitoring method of wastewater treatment.
Background technology
Water environmental problems is the major issue that survival and development of mankind faces, and the water environmental problems of China facing is quite serious, has become the limiting factor of socio-economic development.Wastewater treatment is the important measures of water environment protection; the operation conditions of sewage disposal system is related to the effect of wastewater treatment; the monitoring information of sewage disposal device running status is the important evidence of system cloud gray model management; most important to the management maintenance of technician, simultaneously also to government agencies at all levels' instructional environment protection work and policies most important.For sewage treatment process, have many important on-site parameters and information (flow, liquid level, pH value, temperature, dissolved oxygen concentration etc. as sewage) need real time monitoring and share, this just needs to use a greater number and dissimilar sensor carries out information acquisition and monitoring simultaneously.Based on the information that these gather and monitor, realize terminal control by multiple corresponding end effector.
The subject matter that existing sewage long-distance monitoring method exists is that the sensor of a large amount of variety classes and feedback model and actuator can not realize data fusion and resource distribution accurately and efficiently in same system; Simultaneously due to the data of field monitoring and the time variation of information very strong, existing method for supervising is difficult to meet the high request of sewage treatment process to real-time and reliability.
Summary of the invention
Technical matters to be solved by this invention is for above-mentioned deficiency of the prior art, a kind of wastewater treatment long-distance monitoring method improving running efficiency of system, reduce cost of sewage disposal is provided, can carry out reliably monitoring in real time to the running status of remote sewage treatment facility, and carry out reporting to the police and preliminary remote diagnosis process to the operation troubles of sewage disposal device.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of long-distance monitoring method of wastewater treatment, is characterized in that: comprise the following steps:
Step one, establishes a communications link: be laid in the on-site data gathering device of plant of water disposal and several 3G video cameras and establish a communications link respectively by RS485 interface and 3G wireless network and industrial computer; The host computer and the described industrial computer that are laid in remote monitoring center set up wireless connections by ZigBee wireless network; Described on-site data gathering device comprises the signal conditioning circuit, data acquisition circuit and the neural Network Data Fusion processor that connect successively;
Step 2, field signal acquisition: adopt described on-site data gathering device to carry out acquisition and processing to the signal that several sensors be laid in sewage detect; The operation conditions of described 3G video camera to the sewage disposal device being arranged on described plant of water disposal is adopted to take; Described sensor comprises COD sensor, pH sensor, ultrasonic flow sensor, dissolved oxygen sensor, turbidity transducer and liquid level sensor; The Signal sampling and processing process of described on-site data gathering device comprises:
Described signal conditioning circuit amplifies and filtering process the signal that the sensor detects, then sends to described data acquisition circuit;
Described data acquisition circuit is sampled to the data received, keep and A/D conversion process, then sends to described neural Network Data Fusion processor;
Described neural Network Data Fusion processor calls default neural network model and carries out fusion treatment to the data received, and obtains one group of data directly perceived effective, for the further process of described industrial computer and judgement offer precise data foundation;
Step 3, data near-end and remote transmission: the vision signal that photographs is given described industrial computer through described 3G wireless network transmissions by described 3G video camera; Data after fusion treatment are transferred to described industrial computer through described RS485 interface by described neural Network Data Fusion processor; Described industrial computer stores received data on the one hand, by the first ZigBee module, ZigBee wireless network and the second ZigBee module, described data is transferred to described host computer successively on the other hand; Described first ZigBee module and the second ZigBee module connect with described industrial computer and host computer respectively, described first ZigBee module and the second ZigBee module all with the wireless connections of described ZigBee wireless network;
Step 4, information displaying observation, analysis and control order send: described host computer carries out display observation and analysis, and to slave computer sending controling instruction, comprises with under type after receiving the data of described slave computer transmission:
The display observation and analysis of the sewage disposal device operation conditions that the Wastewater Treatment Parameters detect in real time described sensor and 3G video camera captured in real-time arrive;
To the access of real-time video monitoring information and Wastewater Treatment Parameters;
To the video monitoring information of history and the extraction of Wastewater Treatment Parameters;
With the information interaction of slave computer;
Sending controling instruction carries out control and management to 3G video camera and sewage disposal device;
Step 5, field apparatus monitoring, control and management: the operation of described slave computer to 3G video camera and sewage disposal device is monitored, control and management, comprises with under type:
With on-site data gathering device information interaction;
With Surveillance center's host computer information interaction;
Perform the control program preset;
Receive and perform the steering order of Surveillance center's host computer;
Control the operation of sewage disposal device;
The work of control 3G video camera;
The operation conditions of diagnosis sewage disposal device;
Step 6, equipment operation failure is reported to the police: if operation troubles appears in described sewage disposal device, then described host computer sends alerting signal by the alarm unit connected with it, and send fault specifying information, to notify maintainer to fault in time process with short message mode to the mobile terminal that maintainer is hand-held by 3G network; Otherwise, then step 2 is returned.
The long-distance monitoring method of above-mentioned a kind of wastewater treatment, is characterized in that: described neural network model is three layers of BP neural network.
The long-distance monitoring method of above-mentioned a kind of wastewater treatment, is characterized in that: the peripheral circuit that described neural Network Data Fusion processor comprises DSP and connects with described DSP.
The long-distance monitoring method of above-mentioned a kind of wastewater treatment, is characterized in that: described sewage disposal device comprises biological purification plant, filtration unit, connecting tube, motor, pump and some valves.
The present invention compared with prior art has the following advantages:
1, based on ZigBee wireless communication technology, achieve and long-range Real-Time Monitoring observation, analysis and control management are carried out to sewage disposal device operation.
2, adopt sensor Data Fusion, achieve data acquisition and the parameter extraction of intelligent and high-efficiency.
3, the construction cost of system is low, data communication distance, energy consumption are low.
In sum, invention increases running efficiency of system, reduce cost of sewage disposal, can carry out reliably monitoring in real time to the running status of remote sewage treatment facility, and carry out reporting to the police and preliminary remote diagnosis process to the operation troubles of sewage disposal device, kind and the different sensor of feedback model and actuator are a large amount of in same system to be used and resource allocation problem and system real time and the low problem of reliability for can not meeting of efficiently solving that existing supervisory system exists.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention.
Embodiment
As shown in Figure 1, the present invention includes following steps:
Step one, establishes a communications link: be laid in the on-site data gathering device of plant of water disposal and several 3G video cameras and establish a communications link respectively by RS485 interface and 3G wireless network and industrial computer; The host computer and the described industrial computer that are laid in remote monitoring center set up wireless connections by ZigBee wireless network; Described on-site data gathering device comprises the signal conditioning circuit, data acquisition circuit and the neural Network Data Fusion processor that connect successively;
Step 2, field signal acquisition: adopt described on-site data gathering device to carry out acquisition and processing to the signal that several sensors be laid in sewage detect; The operation conditions of described 3G video camera to the sewage disposal device being arranged on described plant of water disposal is adopted to take; Described sensor comprises COD sensor, pH sensor, ultrasonic flow sensor, dissolved oxygen sensor, turbidity transducer and liquid level sensor; The Signal sampling and processing process of described on-site data gathering device comprises:
Described signal conditioning circuit amplifies and filtering process the signal that the sensor detects, then sends to described data acquisition circuit;
Described data acquisition circuit is sampled to the data received, keep and A/D conversion process, then sends to described neural Network Data Fusion processor;
Described neural Network Data Fusion processor calls default neural network model and carries out fusion treatment to the data received, and obtains one group of data directly perceived effective, for the further process of described industrial computer and judgement offer precise data foundation;
Step 3, data near-end and remote transmission: the vision signal that photographs is given described industrial computer through described 3G wireless network transmissions by described 3G video camera; Data after fusion treatment are transferred to described industrial computer through described RS485 interface by described neural Network Data Fusion processor; Described industrial computer stores received data on the one hand, by the first ZigBee module, ZigBee wireless network and the second ZigBee module, described data is transferred to described host computer successively on the other hand; Described first ZigBee module and the second ZigBee module connect with described industrial computer and host computer respectively, described first ZigBee module and the second ZigBee module all with the wireless connections of described ZigBee wireless network;
Step 4, information displaying observation, analysis and control order send: described host computer carries out display observation and analysis, and to slave computer sending controling instruction, comprises with under type after receiving the data of described slave computer transmission:
The display observation and analysis of the sewage disposal device operation conditions that the Wastewater Treatment Parameters detect in real time described sensor and 3G video camera captured in real-time arrive;
To the access of real-time video monitoring information and Wastewater Treatment Parameters;
To the video monitoring information of history and the extraction of Wastewater Treatment Parameters;
With the information interaction of slave computer;
Sending controling instruction carries out control and management to 3G video camera and sewage disposal device;
Step 5, field apparatus monitoring, control and management: the operation of described slave computer to 3G video camera and sewage disposal device is monitored, control and management, comprises with under type:
With on-site data gathering device information interaction;
With Surveillance center's host computer information interaction;
Perform the control program preset;
Receive and perform the steering order of Surveillance center's host computer;
Control the operation of sewage disposal device;
The work of control 3G video camera;
The operation conditions of diagnosis sewage disposal device;
Step 6, equipment operation failure is reported to the police: if operation troubles appears in described sewage disposal device, then described host computer sends alerting signal by the alarm unit connected with it, and send fault specifying information, to notify maintainer to fault in time process with short message mode to the mobile terminal that maintainer is hand-held by 3G network; Otherwise, then step 2 is returned.
In the present embodiment, described neural network model is three layers of BP neural network.
In the present embodiment, the peripheral circuit that described neural Network Data Fusion processor comprises DSP and connects with described DSP.
In the present embodiment, described sewage disposal device comprises biological purification plant, filtration unit, connecting tube, motor, pump and some valves.
The above; it is only preferred embodiment of the present invention; not the present invention is imposed any restrictions, every above embodiment is done according to the technology of the present invention essence any simple modification, change and equivalent structure change, all still belong in the protection domain of technical solution of the present invention.
Claims (4)
1. a long-distance monitoring method for wastewater treatment, is characterized in that: comprise the following steps:
Step one, establishes a communications link: be laid in the on-site data gathering device of plant of water disposal and several 3G video cameras and establish a communications link respectively by RS485 interface and 3G wireless network and industrial computer; The host computer and the described industrial computer that are laid in remote monitoring center set up wireless connections by ZigBee wireless network; Described on-site data gathering device comprises the signal conditioning circuit, data acquisition circuit and the neural Network Data Fusion processor that connect successively;
Step 2, field signal acquisition: adopt described on-site data gathering device to carry out acquisition and processing to the signal that several sensors be laid in sewage detect; The operation conditions of described 3G video camera to the sewage disposal device being arranged on described plant of water disposal is adopted to take; Described sensor comprises COD sensor, pH sensor, ultrasonic flow sensor, dissolved oxygen sensor, turbidity transducer and liquid level sensor; The Signal sampling and processing process of described on-site data gathering device comprises:
Described signal conditioning circuit amplifies and filtering process the signal that the sensor detects, then sends to described data acquisition circuit;
Described data acquisition circuit is sampled to the data received, keep and A/D conversion process, then sends to described neural Network Data Fusion processor;
Described neural Network Data Fusion processor calls default neural network model and carries out fusion treatment to the data received, and obtains one group of data directly perceived effective, for the further process of described industrial computer and judgement offer precise data foundation;
Step 3, data near-end and remote transmission: the vision signal that photographs is given described industrial computer through described 3G wireless network transmissions by described 3G video camera; Data after fusion treatment are transferred to described industrial computer through described RS485 interface by described neural Network Data Fusion processor; Described industrial computer stores received data on the one hand, by the first ZigBee module, ZigBee wireless network and the second ZigBee module, described data is transferred to described host computer successively on the other hand; Described first ZigBee module and the second ZigBee module connect with described industrial computer and host computer respectively, described first ZigBee module and the second ZigBee module all with the wireless connections of described ZigBee wireless network;
Step 4, information displaying observation, analysis and control order send: described host computer carries out display observation and analysis, and to slave computer sending controling instruction, comprises with under type after receiving the data of described slave computer transmission:
The display observation and analysis of the sewage disposal device operation conditions that the Wastewater Treatment Parameters detect in real time described sensor and 3G video camera captured in real-time arrive;
To the access of real-time video monitoring information and Wastewater Treatment Parameters;
To the video monitoring information of history and the extraction of Wastewater Treatment Parameters;
With the information interaction of slave computer;
Sending controling instruction carries out control and management to 3G video camera and sewage disposal device;
Step 5, field apparatus monitoring, control and management: the operation of described slave computer to 3G video camera and sewage disposal device is monitored, control and management, comprises with under type:
With on-site data gathering device information interaction;
With Surveillance center's host computer information interaction;
Perform the control program preset;
Receive and perform the steering order of Surveillance center's host computer;
Control the operation of sewage disposal device;
The work of control 3G video camera;
The operation conditions of diagnosis sewage disposal device;
Step 6, equipment operation failure is reported to the police: if operation troubles appears in described sewage disposal device, then described host computer sends alerting signal by the alarm unit connected with it, and send fault specifying information, to notify maintainer to fault in time process with short message mode to the mobile terminal that maintainer is hand-held by 3G network; Otherwise, then step 2 is returned.
2. according to the long-distance monitoring method of a kind of wastewater treatment according to claim 1, it is characterized in that: described neural network model is three layers of BP neural network.
3. according to the long-distance monitoring method of a kind of wastewater treatment described in claim 1 or 2, it is characterized in that: the peripheral circuit that described neural Network Data Fusion processor comprises DSP and connects with described DSP.
4. according to the long-distance monitoring method of a kind of wastewater treatment described in claim 1 or 2, it is characterized in that: described sewage disposal device comprises biological purification plant, filtration unit, connecting tube, motor, pump and some valves.
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| CN201410522469.1A CN105573257A (en) | 2014-10-07 | 2014-10-07 | Remote monitoring method for sewage treatment |
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| CN201410522469.1A CN105573257A (en) | 2014-10-07 | 2014-10-07 | Remote monitoring method for sewage treatment |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106986449A (en) * | 2017-05-04 | 2017-07-28 | 青岛哈工程正和环保科技有限公司 | A kind of Sewage from Ships processing control system and control method |
| CN107065799A (en) * | 2017-04-19 | 2017-08-18 | 刘飞 | Long-distance monitoring method and its system for on-line monitoring sewage disposal system |
| CN107390615A (en) * | 2017-09-01 | 2017-11-24 | 长沙电团网络科技有限公司 | Sewage disposal monitoring method, device, computer-readable recording medium and computer equipment |
| CN107958507A (en) * | 2017-11-27 | 2018-04-24 | 长沙电团网络科技有限公司 | Monitoring method, device, storage medium and the computer equipment of sewage disposal device |
| CN108614496A (en) * | 2018-06-19 | 2018-10-02 | 芜湖市新海域智能科技有限公司 | A kind of COD value remote monitoring system for detecting organic matter of sewage overall target |
| CN111762824A (en) * | 2020-06-24 | 2020-10-13 | 江苏荣泽信息科技股份有限公司 | Sewage treatment monitoring system based on block chain |
| CN111999586A (en) * | 2020-08-31 | 2020-11-27 | 南京传业环保科技有限公司 | Online monitoring device for running state of sewage treatment electromechanical facility |
| CN114967629A (en) * | 2022-07-14 | 2022-08-30 | 沧州信昌化工股份有限公司 | Remote monitoring system of sludge treatment device |
-
2014
- 2014-10-07 CN CN201410522469.1A patent/CN105573257A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107065799A (en) * | 2017-04-19 | 2017-08-18 | 刘飞 | Long-distance monitoring method and its system for on-line monitoring sewage disposal system |
| CN106986449A (en) * | 2017-05-04 | 2017-07-28 | 青岛哈工程正和环保科技有限公司 | A kind of Sewage from Ships processing control system and control method |
| CN107390615A (en) * | 2017-09-01 | 2017-11-24 | 长沙电团网络科技有限公司 | Sewage disposal monitoring method, device, computer-readable recording medium and computer equipment |
| CN107958507A (en) * | 2017-11-27 | 2018-04-24 | 长沙电团网络科技有限公司 | Monitoring method, device, storage medium and the computer equipment of sewage disposal device |
| CN107958507B (en) * | 2017-11-27 | 2018-11-09 | 长沙电团网络科技有限公司 | Monitoring method, device, storage medium and the computer equipment of sewage disposal device |
| CN108614496A (en) * | 2018-06-19 | 2018-10-02 | 芜湖市新海域智能科技有限公司 | A kind of COD value remote monitoring system for detecting organic matter of sewage overall target |
| CN111762824A (en) * | 2020-06-24 | 2020-10-13 | 江苏荣泽信息科技股份有限公司 | Sewage treatment monitoring system based on block chain |
| CN111999586A (en) * | 2020-08-31 | 2020-11-27 | 南京传业环保科技有限公司 | Online monitoring device for running state of sewage treatment electromechanical facility |
| CN114967629A (en) * | 2022-07-14 | 2022-08-30 | 沧州信昌化工股份有限公司 | Remote monitoring system of sludge treatment device |
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