CN111381502A - Intelligent sewage management and control system based on simulation learning and expert system - Google Patents
Intelligent sewage management and control system based on simulation learning and expert system Download PDFInfo
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- CN111381502A CN111381502A CN202010386563.4A CN202010386563A CN111381502A CN 111381502 A CN111381502 A CN 111381502A CN 202010386563 A CN202010386563 A CN 202010386563A CN 111381502 A CN111381502 A CN 111381502A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/028—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using expert systems only
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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Abstract
The invention discloses a smart sewage management and control system based on simulation learning and an expert system, wherein deviation of water quality parameter data and water quality parameter expected data is used as input, a corresponding water treatment equipment regulation and control strategy is used as output, an expert operation system model is constructed by combining a simulation learning method, deviation between the water quality parameter data collected in real time and the set water quality parameter expected data is input into an intelligent operation module, the regulation and control strategy corresponding to water treatment equipment is output based on the constructed expert operation system model, finally, an evaluative feedback signal is given to the output regulation and control strategy based on a reward and punishment function, and the intelligent operation module utilizes the feedback signal to improve the regulation and control strategy and dynamically adjust equipment operation parameters until an optimal strategy is obtained. The system simulates expert operation, sends a remote control instruction, automatically corrects the operation parameters of related equipment, ensures that the equipment state parameter data reaches the expected numerical standard, and achieves the purpose of real-time monitoring.
Description
The technical field is as follows:
the invention belongs to the technical field of intelligent control of water treatment, and particularly relates to an intelligent sewage management and control system based on a simulation learning and expert system.
Background art:
the traditional sewage management and control system is generally based on the acquired water quality data of the sewage system, technicians regulate and control the operation parameters of equipment according to professional knowledge and experience, and has the problems of high labor cost and untimely treatment. Some remote control systems for sewage treatment also exist at present, for example, patent CN209132631 discloses a remote control system for sewage treatment equipment, which includes a cloud server connected to a remote monitoring computer, a monitoring module for monitoring various parameters of a sewage treatment process, a sewage treatment execution module for processing sewage, a PLC module for acquiring a switching value signal and an analog value signal of the monitoring module, controlling a working state of the sewage treatment execution module according to the acquired signals, and generating a fault alarm signal, and a communication module for transmitting the switching value signal and the analog value signal acquired by the PLC module and the generated fault alarm signal to the cloud server; the PLC module is respectively connected with the monitoring module and the sewage treatment execution module, and the communication module is respectively connected with the PLC module and the cloud server. However, these systems can only realize simple control and cannot completely replace the professional technicians. Therefore, the invention designs an intelligent sewage management and control system based on a simulation learning and expert system, and realizes the automatic specialized control of the sewage treatment system.
The invention content is as follows:
the invention aims to overcome the defects in the prior art and seek to design an intelligent sewage management and control system based on a simulation learning and expert system.
In order to achieve the purpose, the invention relates to an intelligent sewage management and control system based on an imitation learning and expert system, which comprises a sewage management and control service system, an on-site sewage treatment system and a data transmission unit, wherein the on-site sewage treatment system is connected with the sewage management and control service system through the data transmission unit to realize data interaction between the on-site sewage treatment system and the sewage management and control service system, the sewage management and control server comprises a database and an intelligent operation module, the database is used for storing water quality parameter data and operation parameter data which are collected in real time, set water quality parameter expected data, a deviation value between the water quality parameter data and the water quality parameter expected data and a corresponding water treatment equipment regulation and control strategy, and a fault event of the controlled sewage treatment equipment, the intelligent operation module is connected with the database, the deviation between the water quality parameter data and the water quality parameter expected data is used as input, combining with an imitation learning method, constructing an expert operating system model, inputting deviation between water quality parameter data acquired in real time and set water quality parameter expected data into an intelligent operation module, outputting a regulation and control strategy corresponding to water treatment equipment based on the constructed expert operating system model, and finally giving an evaluative feedback signal to the output regulation and control strategy based on a reward and punishment function, wherein the intelligent operation module utilizes the feedback signal to improve the regulation and control strategy and dynamically adjusts equipment operation parameters until an optimal strategy is obtained, namely the water quality parameter data conforms to the water quality parameter expected data.
The sewage treatment system comprises a data acquisition unit and a controller, wherein the data acquisition unit is fixedly arranged in the sewage treatment system and is used for acquiring water quality parameter data of the sewage treatment system and water treatment equipment operation parameter data in real time, the controller is connected with a water treatment equipment control component related to the sewage treatment system, and the control of the water treatment equipment is realized by regulating and controlling the operation parameters of the control component.
The invention relates to an intelligent sewage management and control system based on a simulation learning and expert system, which further comprises an intelligent terminal, the intelligent terminal corresponds to the intelligent terminal, the sewage management and control server further comprises a remote interaction module, the intelligent terminal is connected with a sewage management and control service system through a network, the intelligent terminal is used for technicians to input regulation and control strategies, operation requests and set water quality parameter expected data, real-time working states of field sewage treatment system equipment are displayed based on operation parameters, real-time water quality parameter data and data fed back based on the operation requests are displayed, user interaction is realized, and the remote interaction module is connected with the intelligent terminal and is used for transmitting the regulation and control strategies input by the intelligent terminal and processing the operation requests.
Specifically, the data transmission unit is connected with the data acquisition unit and is used for transmitting the water quality parameter data and the water treatment equipment operation parameter data acquired by the data acquisition unit to the sewage management and control service system and also transmitting the regulation and control strategy to the controller.
Specifically, data transmission and reading are realized among the data transmission unit, the data acquisition unit and the controller according to a Modbus protocol, and the data processing unit is a DTU.
Compared with the prior art, the invention has the following beneficial effects: (1) the system simulates expert operation, sends a remote control instruction, automatically corrects the operation parameters of related equipment, changes the operation state of the equipment, ensures that the equipment state parameter data reaches an expected numerical standard, achieves the purpose of real-time monitoring and reduces the occurrence frequency of accidents; (2) the water treatment system monitoring system is convenient for experts and technicians to carry out integral monitoring on the operation state of the water treatment system, realizes tracing of the operation state and accident events of the water treatment system, and particularly can realize simultaneous supervision and control on a plurality of identical or even similar water treatment systems.
Description of the drawings:
fig. 1 is a schematic structural diagram of an intelligent sewage management and control system based on a learning and expert simulation system in embodiment 1.
Fig. 2 is a working principle diagram of the intelligent operation module in embodiment 1.
The specific implementation mode is as follows:
the invention is further illustrated by the following specific examples in combination with the accompanying drawings.
Example 1
As shown in fig. 1, the intelligent sewage management and control system based on the imitation learning and expert system according to the embodiment includes a sewage management and control service system 1, an on-site sewage treatment system 2, a data transmission unit 3 and an intelligent terminal 4, the on-site sewage treatment system 2 is connected with the sewage management and control service system 1 through the data transmission unit 3 to realize data interaction between the on-site sewage treatment system and the sewage management and control service system 1, and the intelligent terminal 4 is connected with the sewage management and control service system 1 through a network.
The sewage treatment system comprises a data acquisition unit 201 and a controller 202. The data acquisition unit 201 is fixedly disposed in the sewage treatment system, for example, fixed in the water treatment apparatus or at a connection of the water treatment apparatus, and is configured to acquire water quality parameter data of the sewage treatment system, such as COD, pH, temperature, dissolved oxygen, etc., and operation parameter data of the water treatment apparatus, such as flow rate, flow velocity, wind speed, and heating temperature of the heater, in real time. The controller 202 is connected to a control unit (such as an electromagnetic valve, a heater, a feeder, etc.) of the water treatment device associated with the sewage treatment system, and controls the water treatment device by controlling an operation parameter of the control unit.
The sewage management and control server comprises a database 102, an intelligent operation module 103 and a remote interaction module 101. The database 102 is used for storing water quality parameter data and operation parameter data collected in real time, set water quality parameter expectation data, deviation values between the water quality parameter data and the water quality parameter expectation data, corresponding water treatment equipment regulation strategies (also called regulation instructions), and fault events of controlled sewage treatment equipment. The fault event comprises related data such as specific description, occurrence time, fault processing method and processing effect of the fault.
The intelligent operation module 103 is connected with the database 102, the deviation between the water quality parameter data and the water quality parameter expected data is used as input (such as COD value deviation of +5, pH deviation of-1, temperature deviation of +5 ℃ and the like), the corresponding water treatment equipment regulation and control strategies (such as increasing valve opening, decreasing valve opening, closing, opening a valve or a fan and the like) are used as output, an expert operation system model is constructed by combining an imitation learning method, then the deviation between the water quality parameter data collected in real time and the set water quality parameter expected data is input into the intelligent operation module 103, the regulation and control strategies corresponding to the water treatment equipment are output based on the constructed expert operation system model, finally, an evaluative feedback signal (reward or punishment) is given to the output regulation and control strategies based on a reward function, the intelligent operation module 103 improves the regulation and control strategies by using the feedback signal, and dynamically adjusting the operation parameters of the equipment until an optimal strategy is obtained, namely the water quality parameter data is consistent with the water quality parameter expected data. The cumulative reward function is a T-step cumulative reward function:
wherein the function Vπ(x) Representing the cumulative reward from using policy pi, starting from state x, E being the mathematical expectation, and r being the reward function value for a single action.
The intelligent terminal 4 is specifically an intelligent device capable of installing a corresponding application program, such as a mobile phone, a computer or an IPAD, and is used for technicians to input regulation and control strategies, operation requests and set water quality parameter expected data, display the real-time working state of the on-site sewage treatment system device based on the operation parameters, display the real-time water quality parameter data and the data fed back based on the operation requests, and realize user interaction. The operation request is COD data in a certain time period, or faults of certain equipment in a certain time period, and the like. The operation request feedback corresponds to the operation request, specifically, for example, the trend of COD within a certain time period, or a fault event occurring in a certain time period in a certain device, or the content of the fault event. The intelligent terminal is convenient for direct regulation and control of experts and technicians on the equipment, and the intelligent terminal and the remote interaction module realize data tracing together, so that a user can know the comprehensive performance and the whole operation condition of the water treatment system conveniently.
The remote interaction module 101 is connected to the intelligent terminal 4, and is configured to forward a regulation and control policy input by the intelligent terminal 4, process an operation request, and the like. The processing of the operation request is specifically to store the set water quality parameter expectation data in a database, or to read COD data of the water treatment equipment in a certain time period from the database and feed back the COD data to the intelligent terminal.
Specifically, the data transmission unit 3 is connected to the data acquisition unit 201, and is configured to transmit the water quality parameter data and the water treatment device operation parameter data acquired by the data acquisition unit 201 to the sewage management and control service system 1, and also send the regulation and control policy to the controller 202.
Specifically, data transmission and reading are realized among the data transmission unit 3, the data acquisition unit 201 and the controller 202 according to a Modbus protocol. Namely, the data acquisition equipment is intelligent equipment supporting a Modbus protocol, such as an electromagnetic flow meter, a COD online detector, an intelligent temperature control and pH value online detector, a PM2.5/PM10 laser sensor, a temperature and humidity sensor, a noise sensor and the like. A plurality of devices are allowed to communicate on the same network, the collected data are transmitted, the data are accurately collected in real time, remote interaction of the devices in the miniaturized sewage treatment device is realized, and intelligent operation of a sewage treatment process is further realized. The data processing unit is specifically a DTU, and can realize bidirectional transparent data transmission from the serial port to the network by setting through a simple AT instruction.
As shown in fig. 2, taking COD adjustment as an example, firstly setting an expected COD value for the system, then collecting an actual COD value of the sewage treatment plant by using a COD online detector, conveying the actual COD value to the sewage management and control service system 1 by using the data transmission unit 3, storing the actual COD value in the database 102, comparing the received actual COD value with the set expected COD value, generating a deviation value, inputting the deviation value into the intelligent operation module 103, simulating expert operation based on an expert operation system model, outputting a corresponding water treatment equipment regulation and control strategy, feeding the control instruction back to the DTU to generate a Modbus instruction to act on the controlled equipment, automatically correcting operation parameters of the related equipment, and changing the operation state of the equipment. The intelligent operation module 103 generates a reinforcement signal (reward or penalty) for the performed operation based on the potential reward function. With the reward or punished stimulus given, the system modifies the strategy with an evaluative feedback signal, dynamically adjusting the plant operating parameters, so as to obtain an optimal strategy to achieve a specific goal, i.e. that the actual COD value coincides with the desired COD value. The simulation learning algorithm fully plays an important role in feedback, so that the correction decision is more accurate, and the intelligent operation of the sewage treatment process is realized.
Claims (6)
1. A smart sewage management and control system based on simulation learning and an expert system is characterized in that deviation between water quality parameter data and water quality parameter expected data is used as input, a corresponding water treatment equipment regulation and control strategy is used as output, an expert operation system model is constructed by combining a simulation learning method, deviation between the water quality parameter data collected in real time and the set water quality parameter expected data is input into an intelligent operation module, the regulation and control strategy corresponding to water treatment equipment is output based on the constructed expert operation system model, finally, an evaluative feedback signal is given to the output regulation and control strategy based on a reward function, the intelligent operation module utilizes the feedback signal to improve the regulation and control strategy, and equipment operation parameters are dynamically adjusted until an optimal strategy is obtained, namely the water quality parameter data conforms to the water quality parameter expected data.
2. The intelligent sewage management and control system based on the imitation learning and expert system of claim 1, which comprises a sewage management and control service system, an on-site sewage treatment system and a data transmission unit, wherein the on-site sewage treatment system is connected with the sewage management and control service system through the data transmission unit, the sewage management and control server comprises a database and an intelligent operation module, the database is used for storing water quality parameter data and operation parameter data collected in real time, set water quality parameter expected data, deviation values between the water quality parameter data and the water quality parameter expected data and corresponding water treatment equipment regulation and control strategies, and fault events of controlled sewage treatment equipment, and the intelligent operation module is connected with the database.
3. The intelligent sewage management and control system based on the simulation learning and expert system as claimed in claim 2, wherein the sewage treatment system comprises a data acquisition unit and a controller, the data acquisition unit is fixedly arranged in the sewage treatment system and is used for acquiring the water quality parameter data of the sewage treatment system and the operation parameter data of the water treatment equipment in real time, the controller is connected with the control part of the water treatment equipment related to the sewage treatment system, and the control of the water treatment equipment is realized by regulating and controlling the operation parameters of the control part.
4. The intelligent sewage management and control system based on the imitation learning and expert system of claim 3, further comprising an intelligent terminal corresponding to the intelligent sewage management and control server, wherein the intelligent terminal is connected with the sewage management and control service system through a network, the intelligent terminal is used for technicians to input regulation and control strategies, operation requests and set water quality parameter expected data, displays the real-time working state of the on-site sewage treatment system equipment based on the operation parameters, displays the real-time water quality parameter data and the data fed back based on the operation requests, and realizes user interaction, and the remote interaction module is connected with the intelligent terminal and is used for transmitting the regulation and control strategies input by the intelligent terminal and processing the operation requests.
5. The intelligent sewage management and control system based on the imitation learning and expert system of claim 4, wherein the data transmission unit is connected with the data acquisition unit, and is used for transmitting the water quality parameter data and the water treatment equipment operation parameter data acquired by the data acquisition unit to the sewage management and control service system and also transmitting the regulation and control strategy to the controller.
6. The intelligent sewage management and control system based on the simulation learning and expert system of claim 5, wherein the data transmission unit and the data acquisition unit and the controller realize data transmission and reading according to Modbus protocol, and the data processing unit is DTU.
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Cited By (6)
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| CN111899818A (en) * | 2020-07-28 | 2020-11-06 | 王艳捷 | Intelligent sewage biological treatment activated sludge monitoring technology and method |
| CN112749887A (en) * | 2020-12-30 | 2021-05-04 | 中海油天津化工研究设计院有限公司 | Intelligent offshore platform domestic sewage treatment system |
| CN114542987A (en) * | 2022-02-21 | 2022-05-27 | 王越 | Intelligent management system for monitoring liquid valve |
| CN114690700A (en) * | 2022-04-11 | 2022-07-01 | 山东智达自控系统有限公司 | PLC-based intelligent sewage treatment decision optimization method and system |
| CN115167229A (en) * | 2022-07-27 | 2022-10-11 | 海南绿境高科环保有限公司 | Remote control system, method, device, equipment and medium for sewage station |
| CN116153033A (en) * | 2023-01-31 | 2023-05-23 | 中煤科工集团重庆智慧城市科技研究院有限公司 | Multi-parameter data acquisition and early warning system for intelligent monitoring |
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| CN111899818A (en) * | 2020-07-28 | 2020-11-06 | 王艳捷 | Intelligent sewage biological treatment activated sludge monitoring technology and method |
| CN112749887A (en) * | 2020-12-30 | 2021-05-04 | 中海油天津化工研究设计院有限公司 | Intelligent offshore platform domestic sewage treatment system |
| CN114542987A (en) * | 2022-02-21 | 2022-05-27 | 王越 | Intelligent management system for monitoring liquid valve |
| CN114542987B (en) * | 2022-02-21 | 2023-10-03 | 王越 | Intelligent management system for monitoring liquid valve |
| CN114690700A (en) * | 2022-04-11 | 2022-07-01 | 山东智达自控系统有限公司 | PLC-based intelligent sewage treatment decision optimization method and system |
| CN114690700B (en) * | 2022-04-11 | 2023-02-28 | 山东智达自控系统有限公司 | PLC-based intelligent sewage treatment decision optimization method and system |
| CN115167229A (en) * | 2022-07-27 | 2022-10-11 | 海南绿境高科环保有限公司 | Remote control system, method, device, equipment and medium for sewage station |
| CN116153033A (en) * | 2023-01-31 | 2023-05-23 | 中煤科工集团重庆智慧城市科技研究院有限公司 | Multi-parameter data acquisition and early warning system for intelligent monitoring |
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Application publication date: 20200707 |