A method and apparatus for controlling the entire process of wastewater treatment
By acquiring and filtering wastewater treatment data through monitoring and control terminals, and combining historical data to optimize the purification execution plan, the problem of process incoordination in wastewater treatment was solved, achieving efficient and low-consumption wastewater treatment results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING YUTAO ENVIRONMENTAL ENG CO LTD
- Filing Date
- 2026-04-08
- Publication Date
- 2026-06-30
Smart Images
Figure CN122308213A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of wastewater treatment technology, and more specifically, to a method and apparatus for controlling the entire wastewater treatment process. Background Technology
[0002] With the acceleration of industrialization and the continuous improvement of urbanization, wastewater treatment has become a key link in environmental protection and water resource recycling. Wastewater treatment is characterized by nonlinearity, time-varying nature, large time delays, and multivariate coupling, making it a complex physical, chemical, and biological reaction process. How to achieve precise control of the entire wastewater treatment process while ensuring stable effluent quality and reducing energy and chemical consumption has always been a pressing technical challenge for those skilled in the art.
[0003] In existing technologies, wastewater treatment typically employs a sequential approach, where each unit processes wastewater in turn. This results in relatively fragmented control of each unit, a lack of unified coordination across the entire process, and difficulty in achieving optimal overall operation. Furthermore, when specific influent water quality is encountered, operators still need to manually review historical treatment plans under similar conditions, which is inefficient and makes it difficult to guarantee the optimal solution. Summary of the Invention
[0004] In order to improve wastewater treatment efficiency and adapt to the treatment capacity of wastewater mixed with different pollutants, this application provides a wastewater treatment process control method and device.
[0005] Firstly, this application provides a method for controlling the entire wastewater treatment process, employing the following technical solution: A method for controlling the entire wastewater treatment process, the method comprising: Acquire water quality data fed back from multiple sensors throughout the entire wastewater treatment process. The water quality data includes water concentration parameters and water quantity parameters for multiple water pollutants. The real-time acquired water quality data is filtered and processed to organize and record the current wastewater treatment water quality data in the current wastewater treatment process. Obtain multiple historical wastewater treatment datasets, which include historical wastewater treatment initial water quality data and corresponding purification execution data; Based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets, multiple target purification execution data are matched; Among the multiple target purification execution data, the preferred purification execution data is selected.
[0006] Optionally, the step of performing data filtering on the real-time acquired water quality data includes: If, in the water quality data to be filtered within the preset data filtering processing time period before the current moment, there are target water quality concentration parameters of target water quality pollutants that are all greater than or less than the two adjacent water quality concentration parameters located on both sides of the target water quality concentration parameter at the timestamp, then the target water quality concentration parameters will be removed from the obtained water quality data to be filtered. If, within the preset data filtering time period prior to the current moment, there exists a target water quantity parameter that is greater than or less than two adjacent water quantity parameters located on either side of the target water quantity parameter at the timestamp, then the target water quantity parameter is removed from the obtained water quality data to be filtered.
[0007] Optionally, the step of organizing and recording current wastewater treatment water quality data during the current wastewater treatment process includes: The water quality data to be filtered after removing outliers is subjected to moving average filtering to generate a smoothed water quality data sequence, which is used as the current wastewater treatment water quality data.
[0008] Optionally, the step of matching multiple target purification execution data based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets includes: Based on the current water quality concentration parameters of multiple water pollutants obtained in the current wastewater treatment water quality data, and the historical wastewater initial concentration parameters of multiple water pollutants under the historical wastewater treatment initial water quality data in the multiple historical wastewater treatment datasets, water quality similarity is generated for multiple water pollutants. A reference coefficient is generated based on multiple water quality similarities and preset parameter weighting coefficients corresponding to multiple water pollutants; Multiple target purification execution data are selected based on the reference coefficients.
[0009] Optionally, the step of filtering multiple target purification execution data based on the reference coefficient specifically involves: The reference coefficient is compared with a preset similarity threshold, and the purification execution data in the historical sewage treatment dataset corresponding to the reference coefficient being greater than the similarity threshold is selected as the target purification execution data.
[0010] Optionally, the step of selecting preferred purification execution data from the plurality of target purification execution data includes: Based on the target historical wastewater treatment dataset corresponding to each target purification execution data, obtain the unit water consumption information from the specified network address; The system receives purification requirement information input by the user and, based on the purification requirement information and multiple unit water consumption information, selects the corresponding preferred purification execution data.
[0011] Secondly, this application provides a wastewater treatment process control device, which adopts the following technical solution: A wastewater treatment process control device, comprising a monitoring and control terminal, the monitoring and control terminal including: The information acquisition module is used to acquire water quality data fed back by multiple sensors throughout the entire wastewater treatment process. The water quality data includes water concentration parameters and water quantity parameters of multiple water pollutants. The data filtering and processing module is used to filter the water quality data acquired in real time, so as to organize and record the current wastewater treatment water quality data in the current wastewater treatment process. The information acquisition module is used to acquire multiple historical wastewater treatment datasets, which include historical wastewater treatment initial water quality data and corresponding purification execution data. The optimization matching module is used to match multiple target purification execution data based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets; The optimization matching module is used to filter out the preferred purification execution data from multiple target purification execution data.
[0012] Thirdly, this application provides a monitoring and control terminal, which adopts the following technical solution: A monitoring and control terminal includes a processor and a memory. The memory stores at least one instruction, at least one program, a code set, or an instruction set. The at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to realize the processing of the monitoring and control terminal in the wastewater treatment full-process control method as described in the first aspect.
[0013] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the processing of a monitoring and control terminal in the wastewater treatment process control method as described in the first aspect.
[0014] In summary, this application includes at least one of the following beneficial technical effects: In this application, water quality data in wastewater is first fed back in real time through sensors, and then interference from abnormally collected data during the wastewater treatment process is eliminated through data filtering. Next, the historical wastewater treatment records are compared with the current wastewater treatment to select purification execution data that better meets the actual needs of current wastewater purification treatment from the historical wastewater treatment dataset, i.e., the execution method required for wastewater purification. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 This is a schematic diagram of a wastewater treatment process control method provided in an embodiment of this application.
[0017] Figure 2 This is a schematic diagram of a data filtering process for water quality data provided in an embodiment of this application.
[0018] Figure 3 This is a schematic diagram of a process for matching multiple target purification execution data provided in an embodiment of this application.
[0019] Figure 4 This is a block diagram of a wastewater treatment process control device provided in an embodiment of this application.
[0020] Figure 5 This is a structural block diagram of a monitoring and control terminal provided in an embodiment of this application.
[0021] Explanation of reference numerals in the attached diagram: 401, Information Acquisition Module; 402, Data Filtering and Processing Module; 403, Optimization Matching Module; 404, Water Quality Similarity Screening Module; 405, Unit Data Calculation and Processing Module. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the following will be described in conjunction with the appendix. Figure 1-5 The embodiments of the present invention will be described in further detail below.
[0023] This application provides a method for controlling the entire wastewater treatment process. This method can be applied to a wastewater treatment process control device, which can consist of a monitoring and control terminal and multiple water quality sensors. The execution entity of this method can be the monitoring and control terminal within the wastewater treatment process control device, assisted by multiple water quality sensors. This application uses monitoring and control during wastewater treatment as an example for illustration; other cases, such as urban rainwater purification, are similar and will not be described in detail.
[0024] The following will describe the specific implementation methods. Figure 1 The processing flow shown is explained in detail below: Step S101: Obtain water quality data fed back by multiple sensors throughout the wastewater treatment process. The water quality data includes water concentration parameters and water quantity parameters of multiple water pollutants.
[0025] In practice, the wastewater treatment process requires multiple purification treatments to complete the purification of the wastewater, including at least sedimentation in a sedimentation tank and multiple additions of purification agents to remove grease, heavy metals and other harmful substances from the wastewater.
[0026] In this application process, the monitoring and control terminal uses multiple water quality detection sensors to detect the content of multiple pollutants in the wastewater in real time. Here, each pollutant is referred to as a water pollutant, and the corresponding concentration in the wastewater is referred to as a water quality concentration parameter. The multiple water quality concentration parameters corresponding to the same water pollutant concentration under one wastewater purification are summarized as water quality concentration parameter information.
[0027] Specific pollutants may include COD (chemical oxygen demand), ammonia nitrogen (NH3-N), total phosphorus (TP), pH value, dissolved oxygen (DO), turbidity, etc.
[0028] In addition, the monitoring and control terminal also acquires wastewater treatment volume parameters through multiple sensors. These volume parameters may include the instantaneous influent flow rate or the volume of stagnant wastewater, in order to calculate the treatment efficiency of pollutants in the wastewater per unit time. In this embodiment, the treatment of stagnant wastewater is used as an example for illustration.
[0029] Step S102: Perform data filtering on the real-time acquired water quality data to organize and record the current wastewater treatment water quality data in the current wastewater treatment process.
[0030] During implementation, the monitoring and control terminal performs data filtering processing on the water quality data after receiving it.
[0031] Specifically, in step S102, there exists such as Figure 2 The processing flow shown is as follows: Step S201: In the water quality data to be filtered within the preset data filtering processing time period before the current time, if there are water quality concentration parameters of the target water quality pollutant that are all greater than or less than the two adjacent water quality concentration parameters located on both sides of the target water quality concentration parameter at the timestamp, then the target water quality concentration parameter is removed from the obtained water quality data to be filtered.
[0032] In practice, the monitoring and control terminal uses the "neighborhood comparison method" to eliminate sudden anomalies. Here, the water quality data to be filtered within the preset data filtering processing time period before the current moment is referred to as the water quality data to be filtered.
[0033] This section uses water quality concentration parameters as an example for explanation. A 5-minute time window is set (containing data from the current moment and the previous four sampling points). For each data point within the window... (i=0,...,4), check if it meets the following conditions, and if it meets one of the conditions, then... Elimination of water quality data to be filtered: Condition one: and ; Condition two: and .
[0034] Step S202: In the water quality data to be filtered within the preset data filtering processing time period before the current time, if there are target water quantity parameters that are all greater than two adjacent water quantity parameters located on both sides of the target water quantity parameter at the timestamp, or are all less than two adjacent water quantity parameters, then the target water quantity parameters are removed from the obtained water quality data to be filtered.
[0035] In implementation, the process is the same as step S201 above, using the volume of settled wastewater as an example. A time window of 5 minutes is set (i.e., including the current time and data from the previous 4 sampling points). For each data point within the window... (i=0,...,4), check if it meets the following conditions, and if it meets one of the conditions, then... Elimination of water quality data to be filtered: Condition one: and ; Condition two: and .
[0036] Step S203: Perform moving average filtering on the water quality data to be filtered after removing outliers to generate a smoothed water quality data sequence, which is used as the current wastewater treatment water quality data.
[0037] In practice, after removing abnormal target water quantity parameters and target water quality concentration parameters, the average value of two adjacent water quality concentration parameters is used to replace the removed target water quality concentration parameters. Similarly, the removed target water quantity parameters are replaced in the same way to facilitate the generation of current wastewater treatment water quality data.
[0038] Step S103: Obtain multiple historical wastewater treatment datasets, which include historical wastewater treatment initial water quality data and corresponding purification execution data.
[0039] During implementation, the monitoring and control terminal acquires multiple historical wastewater treatment datasets. These historical wastewater treatment datasets can originate from a specified network address or from pre-stored records in a memory.
[0040] The historical wastewater treatment dataset includes at least the initial water quality data of the historical wastewater treatment process and the corresponding purification execution data. The purification execution data here can be the execution steps of wastewater purification and the purification agents added.
[0041] Step S104: Match multiple target purification execution data based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets.
[0042] During implementation, the monitoring and control terminal uses current wastewater treatment water quality data to screen out historical wastewater treatment records that are similar to the current wastewater environment.
[0043] Specifically, in step S104, there are also... Figure 3 The processing flow shown is as follows: Step S301: Based on the multiple current water quality concentration parameters obtained in the current wastewater treatment water quality data and the historical wastewater initial concentration parameters of multiple water pollutants under the historical wastewater treatment initial water quality data in multiple historical wastewater treatment datasets, generate water quality similarity corresponding to multiple water pollutant numbers.
[0044] In implementation, a historical initial concentration parameter of a specific water pollutant is selected from multiple historical wastewater treatment starting water quality data. Here, we select one of these historical initial concentration parameters for illustration, and calculate the water quality similarity corresponding to that pollutant. The formula for calculating the water quality similarity is as follows: ; in This represents the water quality similarity corresponding to this water quality similarity. This refers to the current water quality concentration parameter for this water quality similarity. This refers to the initial concentration parameters of historical wastewater recorded under a specific historical wastewater treatment starting water quality data. Under this water quality similarity, the current wastewater treatment water quality data records multiple water quality concentration parameters and their current wastewater treatment standard deviations.
[0045] Step S302: Generate reference coefficients based on multiple water quality similarities and preset parameter weighting coefficients corresponding to multiple water pollutants.
[0046] In implementation, the monitoring and control terminal assigns a corresponding parameter weighting coefficient to each water pollutant. The terminal multiplies the water quality similarity of multiple pollutants under the same historical wastewater treatment starting water quality data with their corresponding parameter weighting coefficients, and accumulates the results to calculate a reference coefficient corresponding to each historical wastewater treatment starting water quality data point.
[0047] Step S303: Select multiple target purification execution data based on reference coefficients.
[0048] In implementation, the monitoring and control terminal has a preset similarity threshold. The terminal compares the reference coefficients with the preset similarity threshold and selects the purification execution data from the historical wastewater treatment dataset corresponding to reference coefficients greater than the similarity threshold as the target purification execution data. That is, multiple target reference coefficients are first filtered through the similarity threshold, then the corresponding target historical wastewater treatment starting water quality data is matched through the multiple target reference coefficients, and finally the target purification execution data is matched with the target historical wastewater treatment starting water quality data.
[0049] Step S105: Select the preferred purification execution data from multiple target purification execution data.
[0050] During implementation, the monitoring and control terminal further filters the purification execution data from multiple targets.
[0051] Specifically, in step S105, there are the following processing steps, and the operation flow is as follows: Based on the target historical wastewater treatment dataset corresponding to each target purification execution data, obtain the unit water consumption information from the specified network address.
[0052] During implementation, the monitoring and control terminal acquires the final processing result of the corresponding historical pollution treatment dataset for each target purification execution data. This is referred to here as total water consumption information, which includes the economic value of the total consumption and the total dosage of purification chemicals consumed. Additionally, the historical wastewater treatment dataset corresponding to the target purification execution data is referred to here as the target historical wastewater treatment dataset. Next, the water consumption per unit volume is calculated using the water quantity parameters from the historical wastewater treatment dataset.
[0053] It receives purification requirement information input by the user and, based on the purification requirement information and multiple unit water consumption information, filters out the corresponding optimal purification execution data.
[0054] In practice, due to the actual economic needs of wastewater treatment or the scheduling of inventory purification agent dosages, users usually require reasonable control over the economic value of wastewater treatment and the dosage of purification agents.
[0055] The monitoring and control terminal receives purification requirement information input by the user. The purification requirement information may include economic value requirements or the available amount of purification drug dosage.
[0056] Next, the monitoring and control terminal uses the purification demand information to filter out the unit water consumption information that best matches the demand from multiple unit water consumption information sets. This is referred to as the target unit water consumption information. It should be noted that when a user has multiple demands, the multiple unit water consumption information sets can be filtered by prioritizing them. Then, the monitoring and control terminal records the purification execution data in the historical wastewater treatment dataset corresponding to the target unit water consumption information as the preferred purification execution data.
[0057] In this application, water quality data in wastewater is first fed back in real time through sensors, and then interference from abnormally collected data during the wastewater treatment process is eliminated through data filtering. Next, the historical wastewater treatment records are compared with the current treatment to select purification execution data that better meets the actual needs of current wastewater purification treatment from the historical wastewater treatment dataset, i.e., the execution method required for wastewater purification.
[0058] like Figure 4 As shown in the embodiments of this application, a wastewater treatment process control device is also disclosed, including a monitoring and control terminal, which includes: The information acquisition module 401 is used to acquire water quality data fed back by multiple sensors in the entire wastewater treatment process. The water quality data includes water quality concentration parameter information and water quantity parameter information of multiple water pollutants. The data filtering and processing module 402 is used to filter and process the real-time acquired water quality data in order to organize and record the current wastewater treatment water quality data in the current wastewater treatment process. The information acquisition module 401 is used to acquire multiple historical wastewater treatment datasets, which include historical wastewater treatment initial water quality data and corresponding purification execution data. The optimization matching module 403 is used to match multiple target purification execution data based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets; The optimization matching module 403 is used to filter out the preferred purification execution data from multiple target purification execution data.
[0059] Optional, monitoring and control terminal, specifically used for: The data filtering and sorting module 402 is used to remove the target water quality concentration parameters from the obtained water quality data to be filtered if there are target water quality pollutants in the water quality data within the preset data filtering processing time period before the current time, and if the target water quality concentration parameters are all greater than the two adjacent water quality concentration parameters located on both sides of the target water quality concentration parameters at the timestamp, or are all less than the two adjacent water quality concentration parameters. The data filtering and sorting module 402 is used to remove the target water quantity parameter from the obtained water quality data to be filtered if there is a target water quantity parameter that is greater than or less than two adjacent water quantity parameters located on both sides of the target water quantity parameter in the timestamp.
[0060] Optional, monitoring and control terminal, specifically used for: The data filtering and processing module 402 is used to perform moving average filtering on the water quality data to be filtered after removing outliers, and generate a smoothed water quality data sequence as the current wastewater treatment water quality data.
[0061] Optional, monitoring and control terminal, specifically used for: The water quality similarity filtering module 404 is used to generate water quality similarity for multiple water pollutants based on the current water quality concentration parameters of multiple water pollutants currently obtained in the current wastewater treatment water quality data and the historical wastewater initial concentration parameters of multiple water pollutants under the historical wastewater treatment initial water quality data in multiple historical wastewater treatment datasets. The water quality similarity screening module 404 is used to generate reference coefficients based on multiple water quality similarities and preset parameter weight coefficients corresponding to multiple water pollutants. The optimization matching module 403 is used to filter out multiple target purification execution data based on reference coefficients.
[0062] Optional, monitoring and control terminal, specifically used for: The optimization matching module 403 is used to compare the reference coefficient with the preset similarity threshold, and select the purification execution data in the historical sewage treatment dataset corresponding to the reference coefficient being greater than the similarity threshold as the target purification execution data.
[0063] Optional, monitoring and control terminal, specifically used for: The unit data calculation and processing module 405 is used to obtain unit water consumption information from a specified network address based on the target historical sewage treatment dataset corresponding to each target purification execution data. The optimization matching module 403 is used to receive the purification demand information input by the user, and filter out the corresponding optimal purification execution data based on the purification demand information and multiple unit water consumption information.
[0064] Figure 5 This is a schematic diagram of the monitoring and control terminal provided in the embodiments of this application. The monitoring and control terminal can vary significantly due to differences in configuration or performance, and may include one or more central processing units (e.g., one or more processors) and memory, and one or more storage media (e.g., one or more mass storage devices) for storing applications or data. The memory and storage media can be temporary or persistent storage. The program stored in the storage media may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the monitoring and control terminal.
[0065] The monitoring and control terminal may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input / output interfaces, one or more keyboards, and / or one or more operating systems.
[0066] The monitoring and control terminal may include a memory and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by one or more processors. One or more programs include processing for the monitoring and control terminal in the above-mentioned wastewater treatment process control method.
[0067] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory.
[0068] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.
[0069] While the present invention has been disclosed above, its scope of protection is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and all such changes and modifications will fall within the scope of protection of the present invention.
Claims
1. A method for controlling the entire wastewater treatment process, characterized in that, The method includes: Acquire water quality data fed back from multiple sensors throughout the entire wastewater treatment process. The water quality data includes water concentration parameters and water quantity parameters for multiple water pollutants. The real-time acquired water quality data is filtered and processed to organize and record the current wastewater treatment water quality data in the current wastewater treatment process. Obtain multiple historical wastewater treatment datasets, which include historical wastewater treatment initial water quality data and corresponding purification execution data; Based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets, multiple target purification execution data are matched; Among the multiple target purification execution data, the preferred purification execution data is selected.
2. The method according to claim 1, characterized in that, The process of filtering the real-time acquired water quality data includes: If, in the water quality data to be filtered within the preset data filtering processing time period before the current moment, there are target water quality concentration parameters of target water quality pollutants that are all greater than or less than the two adjacent water quality concentration parameters located on both sides of the target water quality concentration parameter at the timestamp, then the target water quality concentration parameters will be removed from the obtained water quality data to be filtered. If, within the preset data filtering time period prior to the current moment, there exists a target water quantity parameter that is greater than or less than two adjacent water quantity parameters located on either side of the target water quantity parameter at the timestamp, then the target water quantity parameter is removed from the obtained water quality data to be filtered.
3. The method according to claim 2, characterized in that, The process of organizing and recording current wastewater treatment water quality data during the current wastewater treatment process includes: The water quality data to be filtered after removing outliers is subjected to moving average filtering to generate a smoothed water quality data sequence, which is used as the current wastewater treatment water quality data.
4. The method according to claim 1, characterized in that, The step involves matching multiple target purification execution data based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets, including: Based on the current water quality concentration parameters of multiple water pollutants obtained in the current wastewater treatment water quality data, and the historical wastewater initial concentration parameters of multiple water pollutants under the historical wastewater treatment initial water quality data in the multiple historical wastewater treatment datasets, water quality similarity is generated for multiple water pollutants. A reference coefficient is generated based on multiple water quality similarities and preset parameter weighting coefficients corresponding to multiple water pollutants; Multiple target purification execution data are selected based on the reference coefficients.
5. The method according to claim 4, characterized in that, The process of selecting multiple target purification execution data based on the reference coefficients is as follows: The reference coefficient is compared with a preset similarity threshold, and the purification execution data in the historical sewage treatment dataset corresponding to the reference coefficient being greater than the similarity threshold is selected as the target purification execution data.
6. The method according to claim 3, characterized in that, The step of selecting preferred purification execution data from multiple target purification execution data includes: Based on the target historical wastewater treatment dataset corresponding to each target purification execution data, obtain the unit water consumption information from the specified network address; The system receives purification requirement information input by the user and, based on the purification requirement information and multiple unit water consumption information, selects the corresponding preferred purification execution data.
7. A wastewater treatment process control device, characterized in that, The wastewater treatment process control device includes a monitoring and control terminal, which includes: The information acquisition module is used to acquire water quality data fed back by multiple sensors throughout the entire wastewater treatment process. The water quality data includes water concentration parameters and water quantity parameters of multiple water pollutants. The data filtering and processing module is used to filter the water quality data acquired in real time, so as to organize and record the current wastewater treatment water quality data in the current wastewater treatment process. The information acquisition module is used to acquire multiple historical wastewater treatment datasets, which include historical wastewater treatment initial water quality data and corresponding purification execution data. The optimization matching module is used to match multiple target purification execution data based on the current wastewater treatment water quality data and multiple historical wastewater treatment datasets; The optimization matching module is used to filter out the preferred purification execution data from multiple target purification execution data.
8. A monitoring and control terminal, characterized in that, The monitoring and control terminal includes a processor and a memory. The memory stores at least one instruction, at least one program, a code set, or an instruction set. The at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to realize the processing of the monitoring and control terminal in the wastewater treatment full-process control method as described in any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or instruction set is loaded and executed by a processor to implement the processing of the monitoring and control terminal in the wastewater treatment full-process control method as described in any one of claims 1 to 6.