A comprehensive sewage treatment management system and method

Abstract

The present invention discloses a comprehensive sewage treatment management system and method, including: a sewage management layer, a sewage monitoring layer, a sewage control layer and a field equipment control layer. The sewage management layer includes: a cost management module, an equipment maintenance management module, a plan generation module, a personnel management module, a daily inspection management module and a risk warning module; the sewage monitoring layer is used to monitor the overall process flow of sewage treatment, the process flow of any section, process parameters and equipment operation status, and display them; the sewage control layer is used to pre-process the real-time collected detection instrument data and equipment operation status data, and upload them to the sewage monitoring layer; and receive the control commands issued by the sewage monitoring layer in real time, and issue corresponding instructions; the field equipment control layer is used to receive the instructions issued by the sewage control layer, and control the field equipment according to the instructions. The present invention improves the stability of the long-term operation of the sewage treatment plant.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a sewage treatment integrated management system and method. Background Art

[0002] Wastewater treatment is an industry that eliminates pollution, turns harm into benefit, and benefits the people. The production and management data of sewage treatment plants are large in volume, and the relationships between the data are complex. If we do not adopt information management based on the actual situation of sewage treatment, it will be difficult to ensure the reasonable operation of production, and it will be impossible to improve the labor productivity of sewage treatment, reduce sewage treatment costs, and meet the needs of my country's rapid economic development.

[0003] The rapid development of automatic control technology, computer technology, communication technology, sensor technology, and intelligent instrumentation has provided a strong technical foundation and product support for the automation and informatization of sewage treatment production management. Sewage treatment plants have gradually evolved from the original centralized inspection and manual management methods to computer control and management methods, which not only improves work efficiency and reduces the labor intensity of workers, but also improves the quality of sewage treatment and reduces the cost of sewage treatment.

[0004] However, the existing automation and information management technologies for sewage treatment have the following technical problems:

[0005] (1) It is impossible to effectively integrate the various parameters collected in real time during the sewage treatment process and apply them to equipment maintenance, cost management, inspection, and sewage treatment plan generation, which is not conducive to the long-term stable operation of the sewage treatment plant;

[0006] (2) When displaying the process flow, process parameters and equipment operating status, the form is too simple, and it can only be displayed in the form of text, numbers and tables. It is difficult to intuitively understand the real-time situation of sewage treatment, which is not conducive to subsequent parameter adjustment;

[0007] (3) Warnings can only be issued when equipment fails or sewage treatment does not meet standards, and advance warnings cannot be issued. Summary of the invention

[0008] In order to overcome the shortcomings of the existing technology, the present invention provides a comprehensive sewage treatment management system and method, which is used to solve the technical problem that the existing sewage treatment management technology is difficult to achieve integration, intuitive display and early warning based on process data, thereby improving the long-term operation stability of the sewage treatment plant.

[0009] To solve the above problems, the technical solution adopted by the present invention is as follows:

[0010] A sewage treatment integrated management system, comprising:

[0011] The sewage management layer includes: a cost management module, an equipment maintenance management module, a plan generation module, a personnel management module, a daily inspection management module, and a risk warning module. The sewage management layer is used to comprehensively manage the sewage treatment process;

[0012] The sewage monitoring layer is used to monitor the overall process of sewage treatment, the process of any section, process parameters and equipment operation status, and display them;

[0013] The sewage control layer is used to pre-process the real-time collected detection instrument data and equipment operation status data, and upload them to the sewage monitoring layer; and receive the control commands issued by the sewage monitoring layer in real time and issue corresponding instructions;

[0014] The field equipment control layer is used to receive instructions from the sewage control layer and control the field equipment according to the instructions.

[0015] As a preferred embodiment of the present invention, the cost management module is used to manage energy and power costs, reagent consumption costs, maintenance costs and sludge costs;

[0016] The equipment maintenance management module is used to set the time interval for periodic inspection of on-site equipment, generate equipment maintenance plan, and establish equipment operation and maintenance ledger according to the usage frequency and fault downtime data of each on-site equipment in different time periods collected in real time, combined with the instruction manual and last maintenance time of each on-site equipment;

[0017] The plan generation module is used to calculate according to cost data, equipment operation and maintenance records, and operating funds, and formulate a corresponding sewage treatment plan.

[0018] As a preferred embodiment of the present invention, the personnel management module is used to build a personnel organization structure according to personnel information and the sewage treatment plan;

[0019] The daily inspection management module is used to generate inspection task reports based on the time intervals set for daily inspection, weekly inspection, and monthly inspection, the information of each on-site equipment, and the personnel organization structure;

[0020] The risk warning module uses the real-time collected detection instrument data and equipment operation status data, combined with historical data, to warn of equipment operation risks and sewage treatment risks in the sewage treatment process.

[0021] As a preferred embodiment of the present invention, the sewage monitoring layer includes: MCGS configuration software; the MCGS configuration software includes: a main control window, a device window, a user window, a configuration database and an operation strategy window;

[0022] The main control window can be set with one device window and multiple user windows, and is responsible for scheduling and managing the opening or closing of windows;

[0023] The device window is used to connect and drive field devices, collect data on device operation status and control field devices, register field device drivers, and define data variables for connecting and driving field devices.

[0024] As a preferred embodiment of the present invention, the user window is used to set the interface window of human-computer interaction in sewage treatment, generate various animation graphics, and display the overall dynamic process flow, the dynamic process flow of any section, process parameters, equipment operation status, alarm output and data charts in real time;

[0025] The configuration database is used to connect the main control window, the device window, and the user window into a whole, and coordinate the work between the various windows;

[0026] The operation strategy window is used to realize the sewage treatment operation process control, including: writing control programs, selecting various functional components to complete data extraction, historical curve viewing, timer, and multimedia output.

[0027] As a preferred embodiment of the present invention, the sewage monitoring layer further comprises: a DDE server, RSL i nx communication software;

[0028] The DDE server is used to select the PLC type, set the COM port, and set the baud rate parameters;

[0029] The RSL i nx communication software is used to select the topic to be added, set the corresponding communication connection, and configure the Topic;

[0030] By adding a DDE tag object in the window and defining it, the corresponding field device data connected to the PLC is found through the RSL i nx communication software, and the PLC data is read and written;

[0031] Among them, when the data collected by the PLC changes, the data displayed by the DDE tag object changes dynamically.

[0032] As a preferred embodiment of the present invention, the sewage control layer includes: a missing value filling module, an abnormal value removal module, a frequency processing module, a data statistical analysis module, and a normalization processing module;

[0033] The missing value filling module is used to detect missing values ​​and use mean interpolation method to interpolate data to fill in the missing values;

[0034] The outlier elimination module performs outlier detection on the data based on the 3σ criterion and eliminates abnormal data;

[0035] The frequency processing module averages the data of each day and each hour into one piece of data for the monitoring data of the year, month and week;

[0036] The data statistical analysis module is used to perform statistical analysis on the detection instrument data and equipment operation status data collected in real time to obtain statistical data;

[0037] The normalization processing module performs normalization processing based on the statistical data to obtain normalized data;

[0038] Among them, the statistical data and the normalized data are used for the early warning of the risk early warning module.

[0039] As a preferred embodiment of the present invention, the risk warning module includes: an equipment operation risk warning module, which performs equipment operation risk warning according to the average failure time interval of the equipment, the average maintenance time interval of the equipment, and the average error reporting time interval of the equipment.

[0040] As a preferred embodiment of the present invention, the risk warning module includes: a sewage treatment risk warning module, which performs sewage treatment risk warning according to the arithmetic mean, variance value and root mean square error value of the detection instrument data.

[0041] A comprehensive sewage treatment management method comprises the following steps:

[0042] Comprehensively manage the sewage treatment process through the cost management module, equipment maintenance management module, plan generation module, personnel management module, daily inspection management module and risk warning module in the sewage management layer;

[0043] The overall process flow of sewage treatment, the process flow of any section, process parameters and equipment operation status are monitored and displayed through the sewage monitoring layer;

[0044] Preprocessing the real-time collected instrument data and equipment operation status data through the sewage control layer and uploading them to the sewage monitoring layer; and receiving the control commands issued by the sewage monitoring layer in real time and issuing corresponding instructions;

[0045] The instructions issued by the sewage control layer are received through the field device control layer, and the field devices are controlled according to the instructions.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] (1) The present invention effectively integrates various parameters collected in real time during the sewage treatment process through the cost management module, equipment maintenance management module, plan generation module, personnel management module, daily inspection management module and risk warning module in the sewage management layer, and applies them to equipment maintenance, cost management, inspection and sewage treatment plan generation, thereby improving the long-term operation stability of the sewage treatment plant;

[0048] (2) The present invention realizes the dynamic display of the overall process flow, the process flow of any section, the process parameters and the equipment operation status through the configuration software and DDE technology in the sewage monitoring layer, and when the data collected by the PLC changes, the displayed data changes dynamically accordingly, so that the real-time status of sewage treatment and equipment operation can be intuitively understood, which is conducive to the subsequent parameter adjustment;

[0049] (3) The present invention effectively processes the data collected in real time through the frequency processing module, missing value filling module, data statistical analysis module, outlier elimination module, and normalization processing module in the sewage control layer, so that the risk warning module warns of equipment operation risks and sewage treatment risks in the sewage treatment process based on the processed data and in combination with historical data, thereby further improving the long-term operation stability of the sewage treatment plant.

[0050] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is the overall architecture diagram of the integrated sewage treatment management system provided by the present invention;

[0052] Figure 2 It is a module composition diagram of the sewage management layer provided by the present invention;

[0053] Figure 3 It is a module composition diagram of the sewage monitoring layer provided by the present invention;

[0054] Figure 4 This is a module composition diagram of the sewage control layer provided by the present invention.

[0055] Explanation of the accompanying figures: 1. Sewage management layer; 2. Sewage monitoring layer; 3. Sewage control layer; 4. Field equipment control layer; 5. Switch; 6. Distributed PLC station; 7. Fan; 8. Flow meter; 9. Dissolved oxygen detector; 10. Electric gate valve; 11. Cost management module; 12. Equipment maintenance management module; 13. Plan generation module; 14. Personnel management module; 15. Daily inspection management module; 16. Risk warning module; 17. MCGS configuration software; 18. DDE server; 19. RSL inx communication software; 20. Main control window; 21. Equipment window; 22. User window; 23. Configuration database; 24. Operation strategy window; 25. DDE tag object; 26. Missing value filling module; 27. Outlier removal module; 28. Frequency processing module; 29. ​​Data statistical analysis module; 30. Normalization processing module; 31. Equipment operation risk warning module; 32. Sewage treatment risk warning module. DETAILED DESCRIPTION

[0056] The sewage treatment integrated management system provided by the present invention is as follows: Figure 1 As shown, it includes: sewage management layer 1, sewage monitoring layer 2, sewage control layer 3 and field equipment control layer 4.

[0057] Wastewater management layer 1, such as Figure 2 As shown, it includes: a cost management module 11, an equipment maintenance management module 12, a plan generation module 13, a personnel management module 14, a daily inspection management module 15 and a risk warning module 16. The sewage management layer 1 is used to comprehensively manage the sewage treatment process.

[0058] The sewage monitoring layer 2 is used to monitor the overall process flow of sewage treatment, the process flow of any section, process parameters and equipment operating status, and display them.

[0059] The sewage control layer 3 is used to pre-process the real-time collected detection instrument data and equipment operation status data, and upload them to the sewage monitoring layer 2; and receive the control commands issued by the sewage monitoring layer 2 in real time, and issue corresponding instructions;

[0060] The field device control layer 4 is used to receive instructions from the sewage control layer 3 and control the field devices according to the instructions.

[0061] The control commands include those issued by the host computer and the on-site control buttons. The sewage control layer 3 includes: distributed PLC stations 6 and switches 5, through which the on-site equipment start and stop, valve closing and opening, inverter operating frequency, etc. are controlled.

[0062] On-site equipment includes: sewage treatment equipment and testing instruments.

[0063] Among them, the sewage treatment equipment is equipped with an execution device, and the execution device and the detection instrument are equipped with an electrical control cabinet, which is used to execute the instructions issued by the sewage control layer 3, thereby controlling the start and stop of the detection instrument, as well as the start and stop of the sewage treatment equipment, the valve closing and its opening, and the operating frequency of the inverter.

[0064] The field equipment control layer 4 includes: sewage treatment equipment, detection instruments and electrical control cabinets.

[0065] The execution equipment includes: a fan 7, a pump, an electric gate valve 10, and a parameter collection instrument. The parameter collection instrument is used to collect the equipment operation status data and upload it to the distributed PLC station 6.

[0066] The detection instruments include: a liquid level meter, a flow meter 8, a pH detector, and a dissolved oxygen detector 9. The detection instruments are used to collect various process parameters of sewage treatment and upload them to the distributed PLC station 6.

[0067] Furthermore, the cost management module 11 is used to manage energy and power costs, reagent consumption costs, maintenance costs, and sludge costs;

[0068] The equipment maintenance management module 12 is used to set the time interval for periodic inspection of the on-site equipment according to the usage frequency and fault downtime data of each on-site equipment in different time periods collected in real time, combined with the instruction manual and the last maintenance time of each on-site equipment, generate an equipment maintenance plan, and establish an equipment operation and maintenance account;

[0069] The plan generation module 13 is used to calculate according to cost data, equipment operation and maintenance records, and operating funds, and formulate a corresponding sewage treatment plan.

[0070] Specifically, when setting the time interval, it includes: setting the time interval for periodic inspection of the field equipment according to year, quarter, or month.

[0071] The sewage treatment plan is used to ensure that the sewage treatment process meets the design requirements and achieves standard discharge.

[0072] Specifically, energy and power costs: The electricity consumed for processing one ton of water per month is calculated based on the power and utilization rate of the equipment, and the electricity cost is calculated using time-of-day pricing for different periods of time: off-peak, peak, and normal.

[0073] Chemical consumption cost: Calculate the input cost of various chemicals (including flocculants, carbon sources, disinfectants and various chemical reagents) used to treat one ton of water per month.

[0074] Maintenance costs: daily equipment maintenance costs, faulty equipment repair costs, instrument calibration costs, etc.

[0075] Sludge cost: the cost of transporting and landfilling sludge.

[0076] Furthermore, the personnel management module 14 is used to build a personnel organization structure based on personnel information and sewage treatment plans;

[0077] The daily inspection management module 15 is used to generate inspection task reports according to the time intervals set for daily inspection, weekly inspection and monthly inspection, the information of each on-site equipment and the personnel organization structure;

[0078] The risk warning module 16 uses the real-time collected detection instrument data and equipment operation status data, combined with historical data, to issue warnings for equipment operation risks and sewage treatment risks in the sewage treatment process.

[0079] Specifically, the personnel information and the information of each field device are manually entered into the system.

[0080] Further, the sewage monitoring layer 2, such as Figure 3 As shown, it includes: MCGS configuration software 17; MCGS configuration software 17 includes: main control window 20, device window 21, user window 22, configuration database 23 and operation strategy window 24.

[0081] The main control window 20 can set a device window 21 and multiple user windows 22, and is responsible for scheduling and managing the opening or closing of windows;

[0082] The device window 21 is used to connect and drive the field device, realize the data collection of the device operation status and control the field device, register the field device driver, and define the data variables used to connect and drive the field device;

[0083] The user window 22 is used to set the interface window of human-computer interaction in sewage treatment, generate various animation graphics, and display the overall dynamic process flow, the dynamic process flow of any section, process parameters, equipment operation status, alarm output and data charts in real time;

[0084] The configuration database 23 is used to connect the main control window 20, the device window 21, and the user window 22 into a whole, and coordinate the work between the various windows;

[0085] The operation strategy window 24 is used to implement the sewage treatment operation process control, including: writing control programs, selecting various functional components to complete data extraction, historical curve viewing, timer, and multimedia output.

[0086] Specifically, the configuration operations of the main control window 20 include: defining the name of the project, specifying the database storage file name and storage time, compiling the project menu, designing the cover graphic, determining the automatic startup window, setting the animation refresh cycle, etc.

[0087] Specifically, the data charts include: monitoring system general diagram, dynamic process flow chart, operating parameter chart of each field equipment, manual / automatic operation screen, historical curve query, and alarm record display table.

[0088] Furthermore, the sewage monitoring layer 2, such as Figure 3 As shown, it also includes: DDE server 18, RSLi nx communication software 19;

[0089] The DDE server 18 is used to select the PLC type, set the COM port, and set the baud rate parameters;

[0090] RSLi nx communication software 19 is used to select the topic to be added, set up the corresponding communication connection, and configure Topic;

[0091] By adding a DDE tag object 25 in the window and defining it, the corresponding field device data connected to the PLC can be found through the RSLi nx communication software 19, and the PLC data can be read and written;

[0092] When the data collected by the PLC changes, the data displayed by the DDE tag object 25 changes dynamically accordingly.

[0093] Among them, when defining, it includes: setting the LinkTopic property, LinkMode property, Link Item property, and LinkPoke method.

[0094] The LinkTopic attribute is the application and topic, the LinkMode attribute is the session connection mode, the LinkItem attribute is the data item, and the LinkPoke method is the content transmission to the sender.

[0095] When data needs to be written to the PLC, the attribute value of the DDE tag object 25 is written to the PLC by adding the LinkPoke method, thereby realizing the tag value corresponding to the control PLC.

[0096] Among them, the configuration database 23 contains multiple types of DDE tag objects 25. The user selects the required type of DDE tag object 25 in the window and defines the DDE tag object 25 to obtain a custom DDE tag object; the custom DDE tag object is used for data acquisition and processing, output control, animation connection and device driver.

[0097] Specifically, the present invention establishes a correlation connection between the graphic object in the user window 22 and the DDE tag object 25 in the configuration database 23, and sets corresponding animation properties, so that during the operation of the system, the appearance and state characteristics of the graphic object are driven by the real-time collection values ​​of the DDE tag object 25, thereby achieving the animation effect of the graphics.

[0098] Specifically, the overall process flow includes: primary treatment, secondary treatment and tertiary treatment.

[0099] Among them, the primary treatment is used to remove most of the settleable matter, grease, scum, and part of BOD5 and suspended matter SS. The secondary treatment is used to remove most of the BOD5 and remove nitrogen and phosphorus. The tertiary treatment is used to improve the treatment efficiency of sewage and remove pollutants that cannot be removed in the secondary treatment (organic matter that is difficult to decompose, inorganic matter rich in nitrogen and phosphorus that is easy to cause eutrophication of water bodies).

[0100] The primary treatment on-site equipment includes: mechanical screens, lift pumps, grit chambers and primary sedimentation tanks.

[0101] The secondary treatment on-site equipment includes: biological treatment tank and secondary sedimentation tank. Among them, the biological treatment tank includes: activated sludge method structure and biofilm method structure.

[0102] The activated sludge process structure includes: A 2 / O biological pool, multi-stage A / O biological pool, oxidation ditch, etc.

[0103] Biofilm structures include: biological fluidized bed, biological rotary disc, biological filter and biological contact oxidation tank, etc.

[0104] Further, the sewage control layer 3, such as Figure 4 As shown, it includes: a missing value filling module 26, an abnormal value elimination module 27, a frequency processing module 28, a data statistical analysis module 29, and a normalization processing module 30.

[0105] The missing value filling module 26 is used to detect missing values ​​and use the mean interpolation method to interpolate the data to fill the missing values;

[0106] The outlier elimination module 27 performs outlier detection on the data based on the 3σ criterion and eliminates abnormal data;

[0107] The frequency processing module 28 averages the data of each day and each hour into one piece of data for the monitoring data of the year, month and week;

[0108] The data statistical analysis module 29 is used to perform statistical analysis on the real-time collected detection instrument data and equipment operation status data to obtain statistical data;

[0109] The normalization processing module 30 performs normalization processing based on the statistical data to obtain normalized data;

[0110] Among them, statistical data and normalized data are used for early warning of the risk early warning module 16.

[0111] Specifically, the statistical data include: the average failure time interval of the equipment, the average maintenance time interval of the equipment, the average error time interval of the equipment, and the arithmetic mean, variance value and root mean square error value of the detection instrument data.

[0112] The arithmetic mean of the instrument data is shown in Formula 1:

[0113]

[0114] In the formula, c j is the jth detection instrument data collected, m is the number of detection instrument data in a collection cycle, It is the arithmetic mean of the instrument data.

[0115] The variance value of the instrument data is shown in Formula 2:

[0116]

[0117] Where D is the variance of the detection instrument data.

[0118] The root mean square error value of the detection instrument data is shown in Formula 3:

[0119]

[0120] In the formula, σ is the preset standard value, and TR is the root mean square error value of the detection instrument data.

[0121] The average failure time interval of the equipment = the equipment's operating time in one collection cycle / the number of equipment failures in one collection cycle.

[0122] The average maintenance time interval of the equipment = the operating time of the equipment in one collection cycle / the number of maintenance times of the equipment in one collection cycle.

[0123] The average error reporting time interval of the device = the running time of the device in one collection cycle / the number of errors reported by the device in one collection cycle.

[0124] Furthermore, the risk warning module 16 includes: an equipment operation risk warning module 31, which performs equipment operation risk warning according to the average failure time interval of the equipment, the average maintenance time interval of the equipment, and the average error reporting time interval of the equipment.

[0125] Specifically, when the equipment operation risk warning module 31 identifies that one of the average failure time interval, the average maintenance time interval, and the average error time interval of the equipment reaches a threshold, the corresponding on-site equipment is considered to be a low-risk equipment, and a first equipment warning is issued; when two reach the threshold, the corresponding on-site equipment is considered to be a medium-risk equipment, and a second equipment warning is issued; when three reach the threshold, the corresponding on-site equipment is considered to be a high-risk equipment, and a third equipment warning is issued.

[0126] Specifically, a first threshold is set for the average failure time interval of the device, a second threshold is set for the average maintenance time interval of the device, and a third threshold is set for the average error reporting time interval of the device.

[0127] Among them, when the average failure time interval of the equipment is lower than the first threshold, it is considered that the threshold is reached; when the average maintenance time interval of the equipment is higher than the second threshold, it is considered that the threshold is reached; when the average error time interval of the equipment is lower than the third threshold, it is considered that the threshold is reached.

[0128] Furthermore, the risk warning module 16 includes: a sewage treatment risk warning module 32, which performs sewage treatment risk warning according to the arithmetic mean, variance value and root mean square error value of the detection instrument data.

[0129] Specifically, the sewage treatment risk warning module 32 is used to identify whether the arithmetic mean of the detection instrument data is within a preset range. If not, a sewage treatment risk warning is issued; if so, it continues to determine whether the variance value and the root mean square error value of the detection instrument data are both within the preset range. If not, a sewage treatment risk warning is issued.

[0130] Preferably, the risk warning module 16 provided by the present invention can also achieve more accurate sewage treatment risk warning based on normalized data by introducing SVR model, LSTM model, GRU model and LSTM-GRU combination model.

[0131] Normalization is used to reduce the negative impact of feature dimensions on the model.

[0132] The comprehensive sewage treatment management method provided by the present invention comprises the following steps:

[0133] The sewage treatment process is managed comprehensively through the cost management module 11, equipment maintenance management module 12, plan generation module 13, personnel management module 14, daily inspection management module 15 and risk warning module 16 in the sewage management layer 1.

[0134] The overall process flow of sewage treatment, the process flow of any section, process parameters and equipment operating status are monitored and displayed through the sewage monitoring layer 2.

[0135] The sewage control layer 3 pre-processes the real-time collected detection instrument data and equipment operation status data and uploads them to the sewage monitoring layer 2; and receives the control commands issued by the sewage monitoring layer 2 in real time and issues corresponding instructions.

[0136] The field device control layer 4 receives the instructions issued by the sewage control layer 3 and controls the field devices according to the instructions.

[0137] The above-mentioned embodiments are only preferred embodiments of the present invention and cannot be used to limit the scope of protection of the present invention. Any non-substantial changes and substitutions made by technicians in this field on the basis of the present invention shall fall within the scope of protection required by the present invention.

Claims

1. A sewage treatment integrated management system, characterized in that: include: The sewage management layer includes: a cost management module, an equipment maintenance management module, a plan generation module, a personnel management module, a daily inspection management module and a risk warning module. The sewage management layer is used to comprehensively manage the sewage treatment process; The sewage monitoring layer is used to monitor the overall process of sewage treatment, the process of any section, process parameters and equipment operation status, and display them; The sewage control layer is used to pre-process the real-time collected detection instrument data and equipment operation status data, and upload them to the sewage monitoring layer; and receive the control commands issued by the sewage monitoring layer in real time and issue corresponding instructions; A field equipment control layer, used to receive instructions from the sewage control layer and control field equipment according to the instructions; Among them, the risk warning module includes: equipment operation risk warning module and sewage treatment risk warning module, which use the real-time collected detection instrument data and equipment operation status data, combined with historical data, to warn of equipment operation risks and sewage treatment risks in the sewage treatment process; By introducing the SVR model, LSTM model, GRU model and LSTM-GRU combined model, and realizing sewage treatment risk warning based on normalized data; The sewage control layer includes: a missing value filling module, an abnormal value elimination module, a frequency processing module, a data statistical analysis module, and a normalization processing module; The missing value filling module is used to detect missing values ​​and use mean interpolation method to interpolate data to fill in the missing values; The outlier removal module is based on The criterion detects outliers in the data and removes abnormal data; The frequency processing module averages the data of each day and each hour into one piece of data for the monitoring data of the year, month and week; The data statistical analysis module is used to perform statistical analysis on the detection instrument data and equipment operation status data collected in real time to obtain statistical data; The normalization processing module performs normalization processing based on the statistical data to obtain normalized data; The statistical data include: the average failure time interval of the equipment, the average maintenance time interval of the equipment, the average error time interval of the equipment, and the arithmetic mean, variance value and root mean square error value of the detection instrument data; The sewage monitoring layer includes: MCGS configuration software; the MCGS configuration software includes: a user window and a configuration database, the user window is used to set the interface window of human-computer interaction in sewage treatment, generate various animation graphics, and display the overall dynamic process flow, the dynamic process flow of any section, process parameters, equipment operation status, alarm output and data charts in real time; The sewage monitoring layer also includes: DDE server, RSLinx communication software; The DDE server is used to select the PLC type, set the COM port, and set the baud rate parameters; The RSLinx communication software is used to select the topic to be added, set the corresponding communication connection, and configure the Topic; By adding and defining a DDE tag object in the window, the field device data connected to the corresponding PLC is found through the RSLinx communication software, and the PLC data is read and written; Among them, when the data collected by the PLC changes, the data displayed by the DDE tag object changes dynamically; When defining, it includes: setting LinkTopic property, LinkMode property, LinkItem property, and LinkPoke method; By adding the LinkPoke method, the attribute value of the DDE tag object is written to the PLC, thereby controlling the tag value corresponding to the PLC; The configuration database contains multiple types of DDE tag objects. Users can select the required type of DDE tag object in the window and define the DDE tag object to obtain a custom DDE tag object. The custom DDE tag object is used for data acquisition and processing, output control, animation connection and device driver. Establish a correlation connection between the graphic objects in the user window and the DDE tag objects in the configuration database, and set the corresponding animation properties. In this way, during the operation of the system, the appearance and status characteristics of the graphic objects are driven by the real-time collection values ​​of the DDE tag objects, thereby achieving the animation effect of the graphics.

2. The integrated sewage treatment management system according to claim 1, characterized in that: The cost management module is used to manage energy and power costs, reagent consumption costs, maintenance costs, and sludge costs; The equipment maintenance management module is used to set the time interval for periodic inspection of on-site equipment, generate equipment maintenance plan, and establish equipment operation and maintenance ledger according to the usage frequency and fault downtime data of each on-site equipment in different time periods collected in real time, combined with the instruction manual and last maintenance time of each on-site equipment; The plan generation module is used to calculate according to cost data, equipment operation and maintenance records, and operating funds, and formulate a corresponding sewage treatment plan.

3. The integrated sewage treatment management system according to claim 2 is characterized in that: The personnel management module is used to build a personnel organization structure according to personnel information and the sewage treatment plan; The daily inspection management module is used to generate inspection task reports based on the time intervals set for daily inspection, weekly inspection, and monthly inspection, the information of each on-site equipment, and the personnel organization structure; The risk warning module uses the real-time collected detection instrument data and equipment operation status data, combined with historical data, to warn of equipment operation risks and sewage treatment risks in the sewage treatment process.

4. The integrated sewage treatment management system according to claim 1, characterized in that: The MCGS configuration software also includes: a main control window, a device window and an operation strategy window; The main control window can be set with one device window and multiple user windows, and is responsible for scheduling and managing the opening or closing of windows; The device window is used to connect and drive field devices, collect data on device operation status and control field devices, register field device drivers, and define data variables for connecting and driving field devices.

5. The integrated sewage treatment management system according to claim 4 is characterized in that: The configuration database is used to connect the main control window, the device window, and the user window into a whole, and coordinate the work between the various windows; The operation strategy window is used to realize the sewage treatment operation process control, including: writing control programs, selecting various functional components to complete data extraction, historical curve viewing, timer, and multimedia output.

6. The integrated sewage treatment management system according to claim 1, characterized in that: The equipment operation risk warning module performs equipment operation risk warning according to the average failure time interval of the equipment, the average maintenance time interval of the equipment, and the average error reporting time interval of the equipment.

7. The integrated sewage treatment management system according to claim 1 or 6, characterized in that: The sewage treatment risk warning module performs sewage treatment risk warning according to the arithmetic mean, variance value and root mean square error value of the detection instrument data.

8. A method for integrated sewage treatment management, characterized in that: The following steps are involved: Comprehensively manage the sewage treatment process through the cost management module, equipment maintenance management module, plan generation module, personnel management module, daily inspection management module and risk warning module in the sewage management layer; The overall process flow of sewage treatment, the process flow of any section, process parameters and equipment operation status are monitored and displayed through the sewage monitoring layer; Preprocessing the real-time collected instrument data and equipment operation status data through the sewage control layer and uploading them to the sewage monitoring layer; and receiving the control commands issued by the sewage monitoring layer in real time and issuing corresponding instructions; receiving instructions from the sewage control layer through the field equipment control layer, and controlling the field equipment according to the instructions; Among them, the risk warning module includes: equipment operation risk warning module and sewage treatment risk warning module, which use the real-time collected detection instrument data and equipment operation status data, combined with historical data, to warn of equipment operation risks and sewage treatment risks in the sewage treatment process; By introducing the SVR model, LSTM model, GRU model and LSTM-GRU combined model, and realizing sewage treatment risk warning based on normalized data; The sewage control layer includes: a missing value filling module, an abnormal value elimination module, a frequency processing module, a data statistical analysis module, and a normalization processing module; The missing value filling module is used to detect missing values ​​and use mean interpolation method to interpolate data to fill in the missing values; The outlier removal module is based on The criterion detects outliers in the data and removes abnormal data; The frequency processing module averages the data of each day and each hour into one piece of data for the monitoring data of the year, month and week; The data statistical analysis module is used to perform statistical analysis on the detection instrument data and equipment operation status data collected in real time to obtain statistical data; The normalization processing module performs normalization processing based on the statistical data to obtain normalized data; The statistical data include: the average failure time interval of the equipment, the average maintenance time interval of the equipment, the average error time interval of the equipment, and the arithmetic mean, variance value and root mean square error value of the detection instrument data; The sewage monitoring layer includes: MCGS configuration software; the MCGS configuration software includes: a user window and a configuration database, the user window is used to set the interface window of human-computer interaction in sewage treatment, generate various animation graphics, and display the overall dynamic process flow, the dynamic process flow of any section, process parameters, equipment operation status, alarm output and data charts in real time; The sewage monitoring layer also includes: DDE server, RSLinx communication software; The DDE server is used to select the PLC type, set the COM port, and set the baud rate parameters; The RSLinx communication software is used to select the topic to be added, set the corresponding communication connection, and configure the Topic; By adding and defining a DDE tag object in the window, the field device data connected to the corresponding PLC is found through the RSLinx communication software, and the PLC data is read and written; Among them, when the data collected by the PLC changes, the data displayed by the DDE tag object changes dynamically; When defining, it includes: setting LinkTopic property, LinkMode property, LinkItem property, and LinkPoke method; By adding the LinkPoke method, the attribute value of the DDE tag object is written to the PLC, thereby controlling the tag value corresponding to the PLC; The configuration database contains multiple types of DDE tag objects. Users can select the required type of DDE tag object in the window and define the DDE tag object to obtain a custom DDE tag object. The custom DDE tag object is used for data acquisition and processing, output control, animation connection and device driver. Establish a correlation connection between the graphic objects in the user window and the DDE tag objects in the configuration database, and set the corresponding animation properties. In this way, during the operation of the system, the appearance and status characteristics of the graphic objects are driven by the real-time collection values ​​of the DDE tag objects, thereby achieving the animation effect of the graphics.

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