Aeration tank partition regulation and control method and system based on time dimension multivariable analysis

Abstract

The invention relates to an aeration tank partition regulation and control method and system based on time dimension multivariable analysis. The partition regulation and control method comprises the following steps: collecting related data corresponding to each index of an aeration tank in a historical period of time; determining a target time point; analyzing the correlation between each index and the air volume of the target time point within n hours before and after the target time point, screening the time period with the highest correlation of each index, and generating an air volume subset; summarizing the air volume subsets to generate a first historical air volume set; according to the established target DO concentration value interval, extracting a second historical air volume set from the first historical air volume set, obtaining a simulated concentration value of effluent ammonia nitrogen according to the minimum air volume and the valve opening degrees of the N aeration units, and judging whether the simulated concentration value exceeds the target concentration value or not; if not, the air volume corresponding to the simulation concentration value and the valve opening degrees of the N aeration units are the actual air volume and the actual valve opening degrees. The aeration tank has the beneficial effect that the aeration energy consumption of the aeration tank can be conveniently and accurately controlled.

Description

Technical Field

[0001] The present application relates to the technical field of aeration tanks in a biological reaction process of sewage treatment, and in particular to a method and system for zoning and regulating aeration tanks based on multivariate analysis of time dimensions. Background Art

[0002] Sewage treatment plants usually use the activated sludge process as the core process, which decomposes and removes organic pollutants in sewage through the metabolic activities of microorganisms, and achieves biological nitrogen and phosphorus removal. In the activated sludge process, the DO (dissolved oxygen) concentration directly affects the composition of the aeration tank microbial community and the speed and form of pollutant conversion, so aeration is a necessary component of the biological treatment stage.

[0003] Since ammonia nitrogen, chemical oxygen demand and other oxygen-demanding pollutants are continuously degraded along the aeration tank, the demand for DO along the aeration tank is different, and the inlet end often requires a higher aeration volume than the outlet end.

[0004] In the related technologies, the sewage treatment plants built in the early stage often did not take into account the characteristics of gradually reducing aeration along the way, and still adopted the method of uniform aeration. In order to save aeration, some newly built sewage treatment plants adopt the method of adjusting the density of aeration heads from the water inlet to the water outlet of the aeration tank to control the DO concentration at each position of the aeration tank; this control method can only make a rough spatial allocation of the aeration volume. In order to ensure that the ammonia nitrogen in the effluent meets the standard, the aeration volume is usually increased, which causes excessive aeration of the aeration tank. Since the aeration system is the main energy-consuming unit of the sewage treatment plant, the power consumption of the aeration system accounts for about 30% to 50% of the total electricity consumption of sewage treatment. Therefore, whether the aeration energy consumption can be accurately controlled will largely determine the energy consumption of the sewage treatment plant. Summary of the invention

[0005] In order to facilitate accurate control of aeration energy consumption of an aeration tank, the present application provides an aeration tank zoning control method and system based on multivariate analysis in a time dimension.

[0006] In the first aspect, the present application provides a method for controlling aeration tank zoning based on multivariate analysis in the time dimension, which adopts the following technical scheme: A method for controlling aeration pond zoning based on multivariate analysis of time dimension, comprising: The aeration tank is partitioned into N aeration units, each of which corresponds to a valve; Before adjusting the air volume of the aeration tank, collect relevant data corresponding to various indicators of the aeration tank over a period of history; Define a historical time point within the historical period as a target time point; Analyze the correlation between each indicator and the air volume at the target time point within n hours before and after the target time point; Filter the time period with the highest correlation for each indicator to generate a wind quantum set, wherein the wind quantum set represents the relationship between the relevant data of the indicator at each historical time point in the time period and the corresponding wind volume; Summarize the wind volume sets corresponding to the various indicators to generate a first historical wind volume set; When adjusting the air volume of the aeration tank, a target DO concentration value range is established according to the preset target DO concentration value; extracting a second historical air volume set from the first historical air volume set according to the target DO concentration value interval; Retrieving the minimum air volume in the second historical air volume set; According to the minimum air volume and the valve openings of the associated N aeration units, a simulated concentration value of effluent ammonia nitrogen is obtained; Determining whether the simulated concentration value exceeds the target ammonia nitrogen concentration value; If not, the air volume and the valve openings of the N aeration units corresponding to the current simulated concentration value are the actual air volume and the actual valve openings of the N aeration units; Based on the actual air volume and the N actual valve openings, a control signal is sent to a controller, and the controller controls the fan and the valve actions of the N aeration units in response to the control signal.

[0007] By adopting the above technical solution, the aeration tank is first divided into zones, and each aeration unit is independently aerated controlled; Then, the model is constructed by collecting relevant data corresponding to each indicator of the aeration tank within a period of history, and then taking a certain historical time point as the target time point, and then analyzing the correlation between each indicator and the air volume at the target time point within n hours before and after the target time point, so as to select the time period with the highest correlation for each indicator, and then generate a wind volume set according to the relationship between the relevant data of each indicator at each historical time point in the time period and the corresponding air volume. After the wind volume sets corresponding to each indicator are aggregated, the first historical air volume set is generated, thereby completing the model construction; When aeration is performed, the model runs, that is, according to the preset target DO concentration value, a target DO concentration value interval is established, and then according to the target DO concentration value interval, a second historical air volume set is extracted from the first historical air volume set, and then the minimum air volume in the second historical air volume set is retrieved, and the simulated concentration value of effluent ammonia nitrogen is obtained according to the minimum air volume and the valve opening of the associated N aeration units, and then it is determined whether the simulated concentration value exceeds the target ammonia nitrogen concentration value. If not, the air volume corresponding to the simulated concentration value and the valves of the N aeration units are the actual air volume and the actual valve opening, and then a control signal is sent to the control, and the controller controls the valve action of the fan and the N aeration units in response to the control signal.

[0008] Since each aeration unit uses a valve to control the aeration volume of the aeration unit, the aeration volume of each aeration unit can be precisely regulated, and historical data with a time dimension is found and processed to simulate and judge the effluent ammonia nitrogen concentration, and to control the actual air volume and the valve opening of each aeration unit, thereby achieving the effect of facilitating precise control of the aeration energy consumption of the aeration tank.

[0009] Optionally, the partition control method further includes: If the simulated concentration value exceeds the ammonia nitrogen target concentration value, the next air volume is retrieved from the second historical air volume set according to the priority of air volume from small to large to continue the simulation and judgment until the simulated concentration value does not exceed the ammonia nitrogen target concentration value.

[0010] By adopting the above technical solution, after the simulated concentration value exceeds the target ammonia nitrogen concentration value, since the current air volume is the minimum air volume in the second historical air volume set, the air volume can be re-ordered from the second historical air volume set according to the priority from small to large, and the judgment can be continued until the simulated concentration value does not exceed the target ammonia nitrogen concentration value.

[0011] Optionally, the step of establishing a target DO concentration value interval includes: The preset target DO concentration value is ±0.3 mg / L to generate a target DO concentration value range.

[0012] By adopting the above technical solution, the target DO concentration value interval is set between the historical DO concentration value ±0.3mg / L, which can not only realize the aeration tank aeration on demand, but also ensure that the effluent meets the discharge standards, thereby achieving the purpose of energy saving and consumption reduction.

[0013] Optionally, before retrieving the next air volume from the second historical air volume set according to the priority of the air volumes from small to large to continue the simulation judgment, the method further includes: If the simulated concentration value exceeds the ammonia nitrogen target concentration value, obtaining the difference between the simulated concentration value and the ammonia nitrogen target concentration value; Determining whether the difference is less than a preset difference threshold; If so, the next adjacent air volume is called according to the priority from small to large; If not, obtaining the control deviation according to the difference; According to the control deviation and the number of air volumes in the second historical air volume set, a retrieval position of the next air volume in the second historical air volume set is determined.

[0014] By adopting the above technical solution, the retrieval position of the next air volume in the air volume set can be determined according to the difference between the simulated concentration value and the ammonia nitrogen target concentration value, thereby saving the number of simulations and improving the control efficiency.

[0015] Optionally, the step of determining the retrieval position of the next air volume in the second historical air volume set according to the control deviation and the number of air volumes in the second historical air volume set includes: Get the current air volume fetching position ; Recall formulas based on pre-built positions , get the next air volume call position ;in, To control the deviation, A is the simulated concentration value, B is the target ammonia nitrogen concentration value, and D is the expected value. In order to adjust the sensitivity of the deviation to the position change, is the sensitivity coefficient of the number of wind volumes in the second historical wind volume set to the position change, is the number of air volumes in the air volume collection.

[0016] By adopting the above technical solution, the deviation of the difference between the simulated concentration value and the ammonia nitrogen target concentration value and the amount of air volume in the air volume set are comprehensively considered, providing a flexible, adjustable, stable and well-adaptable prediction method, which can more accurately predict the next air volume adjustment position while avoiding the deficiencies caused by overly simple rules or calculation problems caused by overly complex rules.

[0017] Optionally, the step of dividing the aeration tank into N aeration units includes: Obtain the current volume of the aeration tank, the inlet ammonia nitrogen concentration, the outlet ammonia nitrogen concentration, and the inlet water volume; The aeration tank is divided into N aeration units according to the volume, the inlet ammonia nitrogen concentration, the outlet ammonia nitrogen concentration and the inlet water volume.

[0018] In the second aspect, the present application provides an aeration tank zoning control system based on time dimension multivariate analysis, which adopts the following technical solutions: An aeration tank zoning control system based on time dimension multivariate analysis, comprising: A partitioning module, used for partitioning the aeration tank, wherein the aeration tank is divided into N aeration units, each of which corresponds to a valve; The data collection module is used to collect relevant data corresponding to various indicators of the aeration tank within a period of history before adjusting the air volume of the aeration tank; A data analysis module is used to define a certain historical time point within the historical period as a target time point, and analyze the correlation between various indicators and the wind volume at the target time point within n hours before and after the target time point; A first data processing module is used to select a time period with the highest correlation for each indicator to generate a wind quantum set, wherein the wind quantum set represents the relationship between the relevant data of the indicator at each historical time point in the time period and the corresponding wind volume, and to aggregate the wind quantum sets corresponding to the various indicators to generate a first historical wind volume set; The DO concentration value processing module is used to establish a target DO concentration value range according to a preset target DO concentration value when adjusting the air volume of the aeration tank; a second data processing module, configured to extract a second historical air volume set from the first historical air volume set according to the target DO concentration value interval, and retrieve a minimum air volume in the second historical air volume set; A concentration simulation module, used to obtain a simulated concentration value of effluent ammonia nitrogen according to the minimum air volume and the valve openings of the associated N aeration units; A judgment module, used to judge whether the simulated concentration value exceeds a preset ammonia nitrogen target concentration value; A signal sending module, used for determining the air volume and the valve openings of the N aeration units corresponding to the current simulated concentration value as the actual air volume and the actual valve openings of the N aeration units when the judgment of the judgment module is no; Based on the actual air volume and the N actual valve openings, a control signal is sent to a controller, and the controller controls the fan and the valve actions of the N aeration units in response to the control signal.

[0019] By adopting the above technical scheme, since each aeration unit uses a valve to control the aeration volume of the aeration unit, the aeration volume of each aeration unit can be accurately regulated, and historical data with a time dimension is found and processed to simulate and judge the effluent ammonia nitrogen concentration, and the actual air volume and the valve opening of each aeration unit are controlled, thereby achieving the effect of facilitating accurate control of the aeration energy consumption of the aeration tank.

[0020] In a third aspect, the present application provides a terminal, which adopts the following technical solution: A terminal, comprising: A memory storing an aeration tank zoning control program based on time dimension multivariate analysis; The processor is used to execute the program stored in the memory to implement the steps of the aeration tank zoning control method based on time dimension multivariate analysis.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the aeration tank zoning control method based on time dimension multivariate analysis.

[0022] In summary, the present application has at least the following beneficial effects: 1. First, divide the aeration tank into zones and perform independent aeration control on each aeration unit; Then, the model is constructed by collecting relevant data corresponding to each indicator of the aeration tank within a period of history, and then taking a certain historical time point as the target time point, and then analyzing the correlation between each indicator and the air volume at the target time point within n hours before and after the target time point, so as to select the time period with the highest correlation for each indicator, and then generate a wind volume set according to the relationship between the relevant data of each indicator at each historical time point in the time period and the corresponding air volume. After the wind volume sets corresponding to each indicator are aggregated, the first historical air volume set is generated, thereby completing the model construction; When aeration is performed, the model runs, that is, according to the preset target DO concentration value, a target DO concentration value interval is established, and then according to the target DO concentration value interval, a second historical air volume set is extracted from the first historical air volume set, and then the minimum air volume in the second historical air volume set is retrieved, and the simulated concentration value of effluent ammonia nitrogen is obtained according to the minimum air volume and the valve opening of the associated N aeration units, and then it is determined whether the simulated concentration value exceeds the target ammonia nitrogen concentration value. If not, the air volume corresponding to the simulated concentration value and the valves of the N aeration units are the actual air volume and the actual valve opening, and then a control signal is sent to the control, and the controller controls the valve action of the fan and the N aeration units in response to the control signal.

[0023] Since each aeration unit uses a valve to control the aeration volume of the aeration unit, the aeration volume of each aeration unit can be precisely regulated, and historical data with a time dimension is found and processed to simulate and judge the effluent ammonia nitrogen concentration, and to control the actual air volume and the valve opening of each aeration unit, thereby achieving the effect of facilitating precise control of the aeration energy consumption of the aeration tank.

[0024] 2. The purpose of constructing the position adjustment formula is to comprehensively consider the deviation of the difference between the simulated concentration value and the ammonia nitrogen target concentration value and the amount of air volume in the air volume set, and provide a flexible, adjustable, stable and well-adaptable prediction method, which can more accurately predict the next air volume adjustment position, while avoiding the deficiencies caused by overly simple rules or calculation problems caused by overly complex rules. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the aeration control architecture of this application; Figure 2 It is a flowchart of steps S101-S106 in the first embodiment of the method of the present application; Figure 3 It is a flowchart of steps S107-S114 in the first embodiment of the method of the present application; Figure 4 This is the correlation coefficient analysis diagram between the air volume and the total nitrogen in the outlet water of this application; Figure 5 This is the correlation coefficient analysis diagram of the air volume and the chemical oxygen demand of the inlet water in this application; Figure 6 This is the correlation coefficient analysis between the air volume and the ammonia nitrogen in the inlet water; Figure 7 This is the correlation coefficient analysis between air volume and DO concentration in this application; Figure 8 This is the analysis of the correlation coefficient between air volume and sludge concentration in this application; Fig. 9 It is a flowchart of another implementation method of the method embodiment of the present application; Fig.10 It is a structural block diagram of an embodiment of the application system.

[0026] Explanation of the accompanying drawings: 101, partition module; 102, data acquisition module; 103, data analysis module; 104, first data processing module; 105, DO concentration value processing module; 106, second data processing module; 107, concentration simulation module; 108, judgment module; 109, signal sending module. DETAILED DESCRIPTION

[0027] To make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the following will be combined with the appended drawings of the embodiments of the present invention. Figure 1 -Attached Fig.10 , the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] This application is based on an aeration tank aeration control architecture. Figure 1 , the control architecture includes an aeration tank body, a valve, a fan, a controller and a host computer. Among them, the aeration tank body is divided into N aeration units, each aeration unit corresponds to a valve; this application can be divided into four, such as the first aerobic zone represents the first aeration unit, the second aerobic zone represents the second aeration unit, the third aerobic zone represents the third aeration unit, and the fourth aerobic zone represents the fourth aeration unit. The number of fans can be one or more. This application uses two fans, namely fan one and fan two. The air volume in this application refers to the sum of the air volumes provided by fan one and fan two, which represents the total air volume. The controller is respectively connected to the fan and the valve for controlling the action of the fan and the valve, and the program editing and automatic control system are built into the controller. The host computer has a built-in aeration tank partition control system, which is connected to the controller for sending control signals to the controller; big data collection in different time dimensions is realized in the aeration tank partition control system.

[0029] The first embodiment of the present application discloses a method for controlling aeration tank zoning based on time dimension multivariate analysis. Figure 2 and Figure 3 As an implementation of the partition control method, the partition control method may include S101-S114: S101, partitioning the aeration tank into N aeration units, each aeration unit corresponding to a valve; S102, before adjusting the air volume of the aeration tank, collecting relevant data corresponding to various indicators of the aeration tank within a period of history; S103, defining a certain historical time point within a historical period as a target time point; S104, analyzing the correlation between each indicator and the air volume at the target time point within n hours before and after the target time point; S105, selecting the time period with the highest correlation for each indicator to generate a wind quantum set, where the wind quantum set represents the relationship between the relevant data of the indicator at each historical time point in the time period and the corresponding wind volume; S106, summarizing the wind volume sets corresponding to the various indicators to generate a first historical wind volume set; S107, when adjusting the air volume of the aeration tank, establishing a target DO concentration value interval according to a preset target DO concentration value; S108, extracting a second historical air volume set from the first historical air volume set according to the target DO concentration value interval; S109, retrieving the minimum air volume in the second historical air volume set; S110, obtaining a simulated concentration value of effluent ammonia nitrogen according to the minimum air volume and the valve openings of the associated N aeration units; S111, determining whether the simulated concentration value exceeds the target ammonia nitrogen concentration value; S112, if not, the air volume and the valve openings of the N aeration units corresponding to the current simulated concentration value are the actual air volume and the actual valve openings of the N aeration units; S113, based on the actual air volume and the N actual valve openings, a control signal is sent to the controller, and the controller controls the valve actions of the fan and the N aeration units in response to the control signal; S114: If yes, then according to the priority of air volume from small to large, the next air volume is retrieved from the second historical air volume set, and S110-S111 are executed.

[0030] Specifically, when dividing the current aeration tank into aeration units, an aeration unit division library is pre-established in the host computer, and the aeration unit division library stores historical division data, and the historical division data includes the volume of the historical aeration tank, the ammonia nitrogen concentration of the influent, the ammonia nitrogen concentration of the effluent, the influent water volume, and the associated historical aeration tank aeration unit division number. After obtaining the volume, the ammonia nitrogen concentration of the influent, the ammonia nitrogen concentration of the effluent, and the influent water volume of the current aeration tank, the most matching historical division data can be found from the aeration unit division library, and the historical aeration tank aeration unit division number corresponding to the group of historical division data is used as the current aeration tank aeration unit division number.

[0031] Each indicator includes inlet and outlet water indicators and process indicators. The relevant data of each indicator can be obtained through relevant sensors, detectors, etc. For example, inlet water data includes daily processing volume, inlet total nitrogen, ammonia nitrogen, chemical oxygen demand, five-day biochemical oxygen demand, and suspended solid concentration; outlet water data includes outlet total nitrogen, ammonia nitrogen, chemical oxygen demand, five-day biochemical oxygen demand, and suspended solid concentration. Process data can include DO concentration, etc. A DO online analyzer is installed in the middle of each aeration unit to monitor the DO concentration value of the corresponding aeration unit.

[0032] Define a certain historical time point within a certain period of time as the target time point (marked as 0), and analyze the correlation between each indicator and the wind volume at the target time point within n hours before and after the target time point. The historical period of time can be 300 days, 400 days or 500 days, etc., and the n hours before and after the target time point can be 33 hours or 34 hours before and after the target time point, etc., which can be set by the staff.

[0033] Taking the indicators of effluent total nitrogen, influent chemical oxygen demand, influent ammonia nitrogen, DO concentration, and bioreactor sludge concentration as examples, the correlation analysis can refer to Figure 4-Figure 8 .

[0034] Figure 4 Analysis of the correlation coefficient between air volume and total nitrogen in outlet water; Figure 5 Analysis of the correlation coefficient between air volume and influent chemical oxygen demand; Figure 6 Analysis of the correlation coefficient between air volume and influent ammonia nitrogen; Figure 7 Analysis of the correlation coefficient between air volume and DO concentration; Figure 8 This is the correlation coefficient analysis between air volume and sludge concentration. Among them, 1 Lag = 10 min.

[0035] from Figure 4 It can be seen that there is a relatively stable positive correlation between the air volume at the target time point and the total nitrogen in the water outlet in the past and the next 8 hours. Therefore, the historical total nitrogen in the water outlet can be used as an investigation factor for controlling the air volume. The positive correlation between the air volume at the target time point and the total nitrogen in the water outlet after 8 hours is getting smaller and smaller, and the relationship between the two is gradually weakening. Therefore, the total nitrogen data of the water outlet in the past 33 hours and the next 8 hours at the target time point are selected to construct the relationship between the total nitrogen in the water outlet, the air volume and the time point, and generate the wind quantity set corresponding to the total nitrogen in the water outlet.

[0036] from Figure 5 It can be seen that the air volume at the target time point is significantly positively correlated with the inlet chemical oxygen demand 6 hours ago. Therefore, the inlet chemical oxygen demand 6 hours ago can be used as an investigation factor for controlling the air volume, and then the relationship between the inlet chemical oxygen demand, air volume and time point can be constructed to generate the wind quantity set corresponding to the inlet chemical oxygen demand.

[0037] from Figure 6 It can be seen that the air volume at the target time point is significantly positively correlated with the influent ammonia nitrogen 6 hours ago. Therefore, the influent ammonia nitrogen 6 hours ago can be used as an investigation factor for controlling the air volume, and then the relationship between influent ammonia nitrogen and air volume and time point can be constructed to generate the wind quantity set corresponding to the influent ammonia nitrogen.

[0038] from Figure 7 It can be seen that the wind volume at the target time point is significantly negatively correlated with the dissolved oxygen half an hour ago, and significantly positively correlated with the dissolved oxygen one hour later. Therefore, half an hour ago, the dissolved oxygen decreased / increased, and the wind volume changed in the opposite direction, that is, increased / decreased; at the same time, the dissolved oxygen and wind volume still have a certain negative correlation; but in the future, it will quickly turn into a positive correlation and reach the maximum positive correlation after one hour. Therefore, the dissolved oxygen in the historical half an hour can be used as an investigation factor to control the wind volume, and then the relationship between dissolved oxygen, wind volume and time point can be constructed to generate the wind quantity set corresponding to the dissolved oxygen.

[0039] from Figure 8It can be seen that there is a significant positive correlation between the air volume at the target time point and the sludge concentration at the target time point. In the short term (3 to 4 hours) in the future, the positive correlation gradually decreases. Therefore, the sludge concentration of the current expanded bioreactor is used as an investigation factor to control the air volume, and then the relationship between sludge concentration, air volume and time point is constructed to generate the wind quantity set corresponding to the sludge concentration.

[0040] A plurality of wind volume sets are aggregated to generate a first historical wind volume set, representing historical reference data for wind volume control.

[0041] According to the DO concentration value pre-input into the control system, the historical DO concentration value is adjusted by ±0.3mg / L to obtain the target DO concentration value interval; then, according to the target DO concentration value interval, the second historical air volume set is extracted from the first historical air volume set. More specifically, according to the target DO concentration value interval, the corresponding historical DO concentration value interval in the first historical air volume set is determined, and then according to the historical DO concentration value interval, the corresponding time period is determined, and then the data and air volume corresponding to each indicator in the time period are determined, so as to form the second historical air volume set; each air volume in the first historical air volume set and the second historical air volume set is associated with the historical valve opening of the corresponding N aeration units. Then, the minimum air volume and the valve opening of the N aeration units associated with the minimum air volume are retrieved from the second historical air volume set, and input into the pre-established aeration model for simulated aeration, so as to obtain the output simulated concentration value of effluent ammonia nitrogen; the aeration model can simulate the actual aeration operation through simulation software.

[0042] When the simulated concentration value does not exceed the target ammonia nitrogen concentration value, the air volume corresponding to the current simulated concentration value is the actual air volume, and the valve opening of the N aeration units associated with the air volume is the actual valve opening. A control signal is sent to the controller, and the controller responds to the control signal to control the action of the fan and the valve according to the actual air volume and the actual valve opening.

[0043] When the simulated concentration value exceeds the target ammonia nitrogen concentration value, the next air volume can be retrieved from the second historical air volume set according to the priority of air volume from small to large to continue the simulation judgment until the simulated concentration value does not exceed the target concentration value. For example, when the simulated concentration value exceeds the target ammonia nitrogen concentration value at the minimum air volume, the second-to-last smallest air volume can be retrieved to continue the simulation judgment until the simulated concentration value does not exceed the target ammonia nitrogen concentration value. At this time, the air volume and N valve openings corresponding to the simulated concentration value are the actual air volume and the actual openings of the N valves.

[0044] In addition, in other embodiments, when taking the target ammonia nitrogen concentration value, the range of the target ammonia nitrogen concentration value can be determined according to the emission standard of the sewage treatment plant corresponding to the aeration tank, and then the target ammonia nitrogen concentration value can be dynamically adjusted from the range according to the water quality fluctuation of the sewage treatment plant. The smaller the water quality fluctuation of the sewage treatment plant, the larger the target ammonia nitrogen concentration value.

[0045] Specifically, the discharge standard of the sewage treatment plant can be determined according to the type and grade of the sewage treatment plant. After searching for relevant discharge standards on the Internet, they can be stored in the host computer, and the range of ammonia nitrogen target concentration values ​​can be set for each discharge standard. After determining the type and grade of the current sewage treatment plant, the relevant discharge standards and the range of ammonia nitrogen target concentration values ​​can be directly retrieved. The water quality of the sewage treatment plant can be tested by physical testing, chemical testing, biological testing or modern technology testing and analysis of the sewage entering the aeration tank, so as to determine the error of the current water quality compared with the previous water quality. The larger the error, the greater the fluctuation of the water quality.

[0046] Reference Fig. 9 As another implementation of the zoning control method, before the priority of air volume from small to large is set, S210-S250 may be performed: S210, obtaining the difference between the simulated concentration value and the target ammonia nitrogen concentration value; S220, determining whether the difference is less than a difference threshold; S230, if yes, then call the next adjacent air volume according to the priority from small to large; S240, if not, obtaining the control deviation according to the difference; S250: Determine a retrieval position of the next air volume in the second historical air volume set according to the control deviation and the number of air volumes in the second historical air volume set.

[0047] Further, for S250, specifically, when obtaining the current air volume adjustment position After that, you can call the formula according to the pre-built position , get the next air volume call position .

[0048] in, To control the deviation, A is the simulated concentration value, B is the target ammonia nitrogen concentration value, and D is the expected value. In order to adjust the sensitivity of the deviation to the position change, is the sensitivity coefficient of the number of air volume in the air volume set to the change of position, is the number of wind volumes in the second historical wind volume set. It can be set by backend staff.

[0049] When the difference between the simulated concentration value and the target ammonia nitrogen concentration value is not less than the difference threshold, it means that the difference between the two is too large. Therefore, if the next adjacent air volume is called according to the priority from small to large, the simulated concentration value will most likely still exceed the target ammonia nitrogen concentration value. Therefore, it is necessary to call the next air volume across levels, thereby shortening the number and time of simulations and improving control efficiency.

[0050] The implementation principle of this embodiment is: The aeration tank is partitioned, and then the model is constructed. The relevant data corresponding to each indicator of the aeration tank within a period of history are collected, and then a certain historical time point is used as the target time point. Then, the correlation between each indicator and the air volume at the target time point within n hours before and after the target time point is analyzed, so as to select the time period with the highest correlation for each indicator. Then, according to the relationship between the relevant data of each indicator at each historical time point in the time period and the corresponding air volume, an air volume set is generated. After the air volume sets corresponding to each indicator are aggregated, the first historical air volume set is generated, so as to complete the model construction; When aeration is performed, the model runs, that is, according to the target DO concentration value, a target DO concentration value interval is established, and then according to the target DO concentration value interval, a second historical air volume set is extracted from the first historical air volume set, and then the minimum air volume in the second historical air volume set is retrieved, and the simulated concentration value of effluent ammonia nitrogen is obtained according to the minimum air volume and the valve opening of the associated N aeration units, and then it is determined whether the simulated concentration value exceeds the target ammonia nitrogen concentration value. If not, the air volume corresponding to the simulated concentration value and the valves of the N aeration units are the actual air volume and the actual valve opening, and then a control signal is sent to the control, and the controller controls the valve action of the fan and the N aeration units in response to the control signal.

[0051] Based on the above method embodiment, the second embodiment of the present application discloses an aeration tank zoning control system based on time dimension multivariate analysis. Fig.10 As an implementation of the partition control system, the partition control system may include: A partitioning module 101 is used to partition the aeration tank into N aeration units, each of which corresponds to a valve; The data collection module 102 is used to collect relevant data corresponding to various indicators of the aeration tank within a period of history before adjusting the air volume of the aeration tank; The data analysis module 103 is used to define a certain historical time point within a period of time as a target time point, and analyze the correlation between various indicators and the wind volume at the target time point within n hours before and after the target time point; The first data processing module 104 is used to select the time period with the highest correlation of each indicator to generate a wind quantum set, which represents the relationship between the relevant data of the indicator at each historical time point in the time period and the corresponding wind volume, and summarize the wind quantum sets corresponding to each indicator to generate a first historical wind volume set; The DO concentration value processing module 105 is used to establish a target DO concentration value interval according to a preset target DO concentration value when adjusting the air volume of the aeration tank; The second data processing module 106 is used to extract a second historical air volume set from the first historical air volume set according to the target DO concentration value interval, and retrieve the minimum air volume in the second historical air volume set; The concentration simulation module 107 is used to obtain the simulated concentration value of effluent ammonia nitrogen according to the minimum air volume and the valve opening of the associated N aeration units; A judgment module 108 is used to judge whether the simulated concentration value exceeds a preset ammonia nitrogen target concentration value; The signal sending module 109 is used to determine that the air volume and the valve openings of the N aeration units corresponding to the current simulated concentration value are the actual air volume and the actual valve openings of the N aeration units when the judgment module 108 judges to be no; Based on the actual air volume and the N actual valve openings, a control signal is sent to the controller, and the controller controls the fan and the valve actions of the N aeration units in response to the control signal.

[0052] The modules in the aeration tank zoning control system correspond one to one with the aeration tank zoning control method, which will not be described in detail here.

[0053] The third embodiment of the present application provides a terminal. As an implementation of the terminal, the terminal may include: a memory and a processor; wherein: The memory is used to store the aeration tank zoning control program based on time dimension multivariate analysis; The processor is used to execute the program stored in the memory to implement the steps of the aeration tank zoning control method based on time dimension multivariate analysis.

[0054] The memory may be connected to the processor via a communication bus, and the communication bus may be an address bus, a data bus, a control bus, etc.

[0055] In addition, the memory may include a random access memory (RAM) and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0056] And the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0057] The fourth embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the above-mentioned aeration tank zoning control method based on time dimension multivariate analysis.

[0058] Computer-readable storage media can be any available media that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives).

[0059] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application in sequence. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for controlling aeration tank zoning based on time dimension multivariate analysis, characterized in that: include: The aeration tank is partitioned into N aeration units, each of which corresponds to a valve; Before adjusting the air volume of the aeration tank, collect relevant data corresponding to various indicators of the aeration tank over a period of history; Define a historical time point within the historical period as a target time point; Analyze the correlation between each indicator and the air volume at the target time point within n hours before and after the target time point; Filter the time period with the highest correlation for each indicator to generate a wind quantum set, wherein the wind quantum set represents the relationship between the relevant data of the indicator at each historical time point in the time period and the corresponding wind volume; Summarize the wind volume sets corresponding to the various indicators to generate a first historical wind volume set; When adjusting the air volume of the aeration tank, a target DO concentration value range is established according to the preset target DO concentration value; extracting a second historical air volume set from the first historical air volume set according to the target DO concentration value interval; Retrieving the minimum air volume in the second historical air volume set; According to the minimum air volume and the valve openings of the associated N aeration units, a simulated concentration value of effluent ammonia nitrogen is obtained; Determining whether the simulated concentration value exceeds the target ammonia nitrogen concentration value; If not, the air volume and the valve openings of the N aeration units corresponding to the current simulated concentration value are the actual air volume and the actual valve openings of the N aeration units; Based on the actual air volume and the N actual valve openings, a control signal is sent to a controller, and the controller controls the fan and the valve actions of the N aeration units in response to the control signal.

2. The method for controlling aeration tank zoning based on time dimension multivariate analysis according to claim 1, characterized in that: The partition control method also includes: If the simulated concentration value exceeds the ammonia nitrogen target concentration value, the next air volume is retrieved from the second historical air volume set according to the priority of air volume from small to large to continue the simulation and judgment until the simulated concentration value does not exceed the ammonia nitrogen target concentration value.

3. The method for controlling aeration tank zoning based on time dimension multivariate analysis according to claim 2, characterized in that: The step of establishing the target DO concentration value interval comprises: The preset target DO concentration value is ±0.3 mg / L to generate a target DO concentration value range.

4. The method for controlling aeration pond zoning based on time dimension multivariate analysis according to claim 2, characterized in that: Before retrieving the next air volume from the second historical air volume set according to the priority of the air volume from small to large to continue the simulation judgment, the method further includes: If the simulated concentration value exceeds the ammonia nitrogen target concentration value, obtaining the difference between the simulated concentration value and the ammonia nitrogen target concentration value; Determining whether the difference is less than a preset difference threshold; If so, the next adjacent air volume is called according to the priority from small to large; If not, obtaining the control deviation according to the difference; According to the control deviation and the number of air volumes in the second historical air volume set, a retrieval position of the next air volume in the second historical air volume set is determined.

5. The method for controlling aeration pond zoning based on time dimension multivariate analysis according to claim 4, characterized in that: The step of determining the retrieval position of the next air volume in the second historical air volume set according to the control deviation and the number of air volumes in the second historical air volume set comprises: Get the current air volume fetching position ; Recall formulas based on pre-built positions , get the next air volume call position ;in, To control the deviation, A is the simulated concentration value, B is the target ammonia nitrogen concentration value, and D is the expected value. In order to adjust the sensitivity of the deviation to the position change, is the sensitivity coefficient of the number of wind volumes in the second historical wind volume set to the position change, is the number of air volumes in the air volume collection.

6. The method for controlling aeration pond zoning based on time dimension multivariate analysis according to claim 1, characterized in that: The step of dividing the aeration tank into N aeration units comprises: Obtain the current volume of the aeration tank, inlet ammonia nitrogen concentration, outlet ammonia nitrogen concentration and inlet water volume; The aeration tank is divided into N aeration units according to the volume, the inlet ammonia nitrogen concentration, the outlet ammonia nitrogen concentration and the inlet water volume.

7. An aeration tank zoning control system based on time dimension multivariate analysis, characterized in that: include: A partitioning module (101) is used to perform partitioning processing on the aeration tank, wherein the aeration tank is divided into N aeration units, and each aeration unit corresponds to a valve; The data collection module (102) is used to collect relevant data corresponding to various indicators of the aeration tank within a period of history before adjusting the air volume of the aeration tank; A data analysis module (103) is used to define a certain historical time point within the historical period as a target time point, and analyze the correlation between various indicators within n hours before and after the target time point and the wind volume at the target time point; A first data processing module (104) is used to select a time period with the highest correlation for each indicator to generate a wind volume set, wherein the wind volume set represents the relationship between the relevant data of the indicator at each historical time point in the time period and the corresponding wind volume, and to aggregate the wind volume sets corresponding to the various indicators to generate a first historical wind volume set; The DO concentration value processing module (105) is used to establish a target DO concentration value range according to a preset target DO concentration value when adjusting the air volume of the aeration tank; A second data processing module (106) is used to extract a second historical air volume set from the first historical air volume set according to the target DO concentration value interval, and retrieve the minimum air volume in the second historical air volume set; A concentration simulation module (107), used to obtain a simulated concentration value of effluent ammonia nitrogen according to the minimum air volume and the valve openings of the associated N aeration units; A judgment module (108), used to judge whether the simulated concentration value exceeds a preset ammonia nitrogen target concentration value; A signal sending module (109) is used to determine that the air volume and the valve openings of the N aeration units corresponding to the current simulated concentration value are the actual air volume and the actual valve openings of the N aeration units when the judgment of the judgment module (108) is no; Based on the actual air volume and the N actual valve openings, a control signal is sent to a controller, and the controller controls the fan and the valve actions of the N aeration units in response to the control signal.

8. A terminal, characterized in that: include: A memory storing an aeration tank zoning control program based on time dimension multivariate analysis; A processor is used to execute the program stored in the memory to implement the steps of the aeration tank zoning control method based on time dimension multivariate analysis as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer program is stored which can be loaded by a processor and execute the aeration tank zoning control method based on time dimension multivariate analysis as claimed in any one of claims 1 to 6.

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