Intelligent regulation and control method, device and equipment for phosphorus removal process of sewage plant and storage medium

Abstract

The invention provides an intelligent regulation and control method, device and equipment for a phosphorus removal process of a sewage plant and a storage medium. The method comprises the following steps: determining a dephosphorization agent adding scheme from pre-stored basic data of a sewage plant; according to the phosphorus removal agent adding scheme, the phosphorus removal agent adding amount is obtained through calculation; and calculating according to the dosage of the phosphorus removal agent to obtain a reduction index scheme, and verifying the reduction index scheme. The method provided by the invention solves the problems that the dosage of the phosphorus removal agent is mainly judged through artificial experience, so that the workload is huge, errors are very easy to occur, and accuracy is lacked; meanwhile, in order to achieve the standard discharge of water quality, the problem of excessive dosage of chemicals and too high cost consumption generally exist, and the technical problem that the intelligent regulation and control efficiency of the phosphorus removal process of the sewage plant is low due to the fact that accurate management of a phosphorus removal chemical dosage scheme and a chemical consumption regulation and control scheme is not provided in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of intelligent control of sewage treatment plants, and in particular to an intelligent control method, device, equipment and storage medium for phosphorus removal processes in sewage treatment plants. Background Art

[0002] Phosphorus removal efficiency is an important indicator for regulating pollutant emissions from sewage treatment plants. The phosphorus removal processes in sewage treatment plants include biological phosphorus removal and chemical phosphorus removal. Chemical phosphorus removal forms insoluble phosphate precipitates by adding chemical agents, and finally removes phosphorus from sewage through solid-liquid separation. Biological phosphorus removal relies on polyphosphate bacteria in activated sludge and uses the metabolic activities of microorganisms to remove phosphorus.

[0003] Chemical phosphorus removal mainly relies on relatively high cost of chemical agents. Although biological phosphorus removal does not require the addition of chemical agents, it has limitations. It is difficult to remove phosphorus from wastewater with certain specific components. At the same time, its stability and flexibility are poor. As the external environment changes, the phosphate concentration in the effluent will also increase significantly.

[0004] At present, phosphorus removal in my country's sewage treatment plants is mainly carried out by chemical phosphorus removal and biological phosphorus removal in parallel, but the amount of phosphorus removal agents is mainly determined by manual experience, which is not only a huge workload, but also prone to errors and lacks precision. At the same time, in order to meet the discharge standards for water quality, there is a common problem of excessive agent addition, which is too costly, and the existing technology does not have precise management of the phosphorus removal agent addition plan and the drug consumption control plan, which leads to low efficiency of intelligent control of phosphorus removal process in sewage treatment plants. Summary of the invention

[0005] The present application provides a method, device, equipment and storage medium for intelligent control of phosphorus removal process in sewage treatment plant, which is used to solve the problem that the amount of phosphorus removal agent is mainly determined by manual experience, which is not only a huge workload, but also prone to errors and lacks accuracy. At the same time, in order to meet the discharge standards for water quality, there is a common problem of excessive dosage of agents, which is too costly, and the existing technology does not have accurate management of phosphorus removal agent dosage schemes and drug consumption control schemes, which leads to the problem of low efficiency of intelligent control of phosphorus removal process in sewage treatment plant.

[0006] In a first aspect, the present application provides an intelligent control method for phosphorus removal process in a sewage treatment plant, the method comprising:

[0007] Determine the phosphorus removal agent dosing plan from the pre-stored sewage plant basic data;

[0008] According to the phosphorus removal agent dosage plan, the phosphorus removal agent dosage is calculated;

[0009] The reduction index scheme is calculated based on the dosage of the phosphorus removal agent and the reduction index scheme is verified.

[0010] In a possible design, the phosphorus removal agent dosing scheme includes a plurality of control cycles, wherein the duration of each control cycle is the same as each other;

[0011] According to the phosphorus removal agent dosage plan, the phosphorus removal agent dosage is calculated, including:

[0012] Calculate the respective target flocculation efficiency in each regulation cycle;

[0013] Determine the dosing position of the phosphorus removal agent corresponding to each control cycle;

[0014] According to the location of phosphorus removal agent addition, calculate the amount of phosphorus removal agent added in each control cycle.

[0015] In one possible design, the target regulation cycle is any one of multiple regulation cycles;

[0016] According to the location of phosphorus removal agent addition, calculate the amount of phosphorus removal agent added in each control cycle, including:

[0017] According to the dosing position of the phosphorus removal agent and the target flocculation efficiency within the target control period, the agent dosing ratio within the target control period is calculated;

[0018] According to the dosage ratio of the agent, calculate the dosage of the phosphorus removal agent within the target control period.

[0019] In a possible design, the positions for adding phosphorus removal agents include: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biochemical phosphorus removal;

[0020] When the phosphorus removal agent is added at the pre-chemical phosphorus removal location, the agent addition ratio within the target regulation cycle is calculated based on the phosphorus removal agent addition location and the target flocculation efficiency within the target regulation cycle, specifically including:

[0021] E i =E c +E b

[0022] E c =F(r,T,PH)

[0023] E b1 =F(T,PH,Vss,C p,out ,C COD,out )

[0024] Among them, E i is the target flocculation efficiency, E c is the phosphorus removal efficiency of chemical flocculation, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of the flocculation agent influent, T is the temperature, PH is the solution acidity, Vss is the activated sludge concentration, Cp,out is the total phosphorus concentration of the effluent from the phosphorus removal agent dosing unit, C COD,out It is the COD concentration of the effluent from the phosphorus removal agent dosing unit;

[0025] When the phosphorus removal agent is added at the post-chemical phosphorus removal location, the agent addition ratio within the target regulation cycle is calculated based on the phosphorus removal agent addition location and the target flocculation efficiency within the target regulation cycle, including:

[0026] E i =E c =F(r,T,PH)

[0027] When the phosphorus removal agent is added at the synchronous biochemical phosphorus removal location, the agent addition ratio within the target regulation cycle is calculated according to the phosphorus removal agent addition location and the target flocculation efficiency within the target regulation cycle, specifically including:

[0028] E i =E c +E b

[0029] E c =F(r,T,PH)

[0030] E b2 =F(T,PH,Vss,C p,in ,C COD,in )

[0031] Among them, E b2 is the biological phosphorus removal efficiency, C p,in is the total phosphorus concentration of the influent of the phosphorus removal agent dosing unit, C COD,in It is the COD concentration of the influent of the phosphorus removal agent dosing unit.

[0032] In a possible design, within the target regulation cycle, the target flocculation efficiency in each regulation cycle is calculated, specifically including:

[0033]

[0034] in, is the average total phosphorus concentration of incoming water during the target control period, k is the water quality assurance coefficient of the intelligent control effluent, k is a positive number greater than one, C P,S is the standard limit of total phosphorus discharge in effluent water, is the expected value of the fluctuation range of total phosphorus in the current effluent;

[0035] According to the dosage ratio of the agent, calculate the dosage of the phosphorus removal agent within the target control period, specifically including:

[0036]

[0037] Among them, ri is the dosage ratio of the reagent, Q d,i is the dosage of phosphorus removal agent within the target regulation period, C d is the concentration of phosphorus removal agent, Q in,i is the water inlet flow rate, C P,in,i is the total phosphorus concentration in the influent.

[0038] In one possible design, the reduction index scheme includes multiple reduction indexes;

[0039] Multiple reduction indicators include: drug consumption reduction indicator, mud production reduction indicator, cost reduction indicator, carbon emission reduction indicator and stability indicator;

[0040] The reduction index scheme is calculated based on the dosage of phosphorus removal agent, including:

[0041] The reduction index of drug consumption is calculated based on the dosage of phosphorus removal agent, including:

[0042] D r =D-∑Q d,i C d

[0043] Among them, D r is the drug consumption reduction index, and D is the current daily drug consumption;

[0044] The sludge production reduction index is calculated based on the drug consumption reduction index, including:

[0045] S r =a×D r

[0046] Among them, S r is the sludge reduction index, a is the sludge coefficient;

[0047] The cost reduction index is calculated based on the drug consumption reduction index and the mud production reduction index, including:

[0048] C r =D r ×P d +S r ×P s

[0049] Among them, C r is the cost reduction indicator, P d is the unit drug price; P s is the unit sludge treatment price;

[0050] The carbon emission reduction index is calculated based on the cost reduction index and the sludge production reduction index, including:

[0051] CE r =EFd C r +EF s S r

[0052] Among them, CE r is the carbon emission reduction index, EF d is the carbon emission factor of the flocculant, EF s is the carbon emission factor during sludge treatment and disposal;

[0053] Calculate stability indicators, including:

[0054]

[0055] Among them, C p,eff,j is the instantaneous monitoring value of total phosphorus in effluent water, is the average value of total phosphorus in effluent.

[0056] In one possible design, the reduction index scheme is tested, including:

[0057] By using the analytic hierarchy process, the weight corresponding to each reduction indicator is calculated;

[0058] Perform weighted calculation on each reduction index to obtain the comprehensive benefit score of the reduction index plan;

[0059] When the comprehensive benefit score is greater than the score threshold, the output verification result is verification passed.

[0060] In a second aspect, the present application provides an intelligent control device for phosphorus removal process in a sewage treatment plant, the device comprising: a data acquisition device, a data processing device and a data verification device;

[0061] A data acquisition device is used to determine the phosphorus removal agent addition plan from the pre-stored sewage plant basic data;

[0062] A data processing device, used for calculating the dosage of the phosphorus removal agent according to the phosphorus removal agent dosage plan;

[0063] The data verification device is used to calculate the reduction index plan according to the dosage of the phosphorus removal agent and to verify the reduction index plan.

[0064] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0065] Memory stores computer-executable instructions;

[0066] When the processor executes the computer execution instructions stored in the memory, it is used to implement an intelligent control method for phosphorus removal process in a sewage treatment plant according to the first aspect of the invention.

[0067] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement an intelligent control method for phosphorus removal process in a sewage treatment plant according to the invention content of the first aspect.

[0068] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, is used to implement an intelligent control method for phosphorus removal process in a sewage treatment plant according to the invention content of the first aspect.

[0069] The application provides a method, device, equipment and storage medium for intelligent control of phosphorus removal process in a sewage treatment plant, including: determining a phosphorus removal agent dosing plan from pre-stored sewage treatment plant basic data; calculating the amount of phosphorus removal agent added according to the phosphorus removal agent dosing plan; calculating a reduction index plan according to the amount of phosphorus removal agent added, and verifying the reduction index plan. Compared with the prior art, the amount of phosphorus removal agent added is mainly determined by manual experience, which not only requires a huge workload, but is also prone to errors and lacks accuracy. At the same time, in order to achieve the discharge standard of water quality, there is a common problem of excessive dosage of chemicals, which results in excessively high costs. The existing technology does not have precise management of the phosphorus removal agent dosage plan and the drug consumption control plan, which leads to low efficiency of intelligent control of phosphorus removal process in sewage treatment plant. This application is based on the basic phosphorus removal agent dosage plan. By calculating the target flocculation efficiency in each control cycle and the phosphorus removal agent dosage position corresponding to the control cycle, the phosphorus removal agent dosage is accurately calculated to ensure accurate dosage of flocculation agents. At the same time, a variety of reduction index schemes are calculated based on the phosphorus removal agent dosage, and the reduction index is weighted and checked, which further realizes precise control of agent dosage, greatly saves costs in terms of labor and drug consumption, and thus improves the intelligent control efficiency of phosphorus removal process in sewage treatment plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0071] Figure 1 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 1 ;

[0072] Figure 2 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 2 ;

[0073] Figure 3 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 3 ;

[0074] Figure 4 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 4 ;

[0075] Figure 5 A schematic diagram of the structure of an intelligent control device for phosphorus removal process in a sewage plant provided in an embodiment of the present application;

[0076] Figure 6 A schematic diagram of the structure of an electronic device provided in this application.

[0077] Reference numerals:

[0078] 51-data acquisition device; 52-data processing device; 53-data verification device;

[0079] 60 - electronic device; 61 - processor; 62 - memory; 63 - communication component; 64 - bus. DETAILED DESCRIPTION

[0080] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0081] In the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with basically the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference. It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way. In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more.

[0082] It should be noted that the "at..." in the embodiments of the present application can be the instant when a certain situation occurs, or it can be a period of time after a certain situation occurs, and the embodiments of the present application do not specifically limit this. In addition, the training method for lateral control of an autonomous driving provided in the embodiments of the present application is only used as an example, and the training method for lateral control of an autonomous driving can also include more or less content.

[0083] In order to clearly describe the technical solutions of the embodiments of the present application, some terms and technologies involved in the embodiments of the present application are briefly introduced below:

[0084] Aerobic Granular Sludge: Aerobic Granular Sludge (AGS) is a granular activated sludge formed by the self-agglomeration of microorganisms. Compared with ordinary activated sludge, it is less prone to sludge expansion, has strong impact resistance, can withstand high organic loads, and integrates microorganisms of different properties (aerobic, facultative anerobic and anaerobic microorganisms).

[0085] pH: Potential of hydrogen (PH) is a measure of the acidity or alkalinity of a solution and is used to indicate the activity of hydrogen ions in a substance.

[0086] Polyhydroxyalkanoates: Polyhydroxyalkanoates (PHA) is a high molecular biomaterial that exists in large quantities in microbial cells, especially bacterial cells. It is synthesized by microorganisms (such as bacteria, fungi, etc.) as a carbon source and can be regarded as an energy source for microorganisms. PHA is biodegradable and can be decomposed by microorganisms into natural substances such as carbon dioxide and water under appropriate conditions.

[0087] Chemical oxygen demand (COD) is a chemical method that measures the amount of reducing substances that need to be oxidized in water samples. It is an important parameter for verifying organic pollution in water bodies.

[0088] Volatile suspended solids: Volatile suspended solids (VSS) refers to the solids in activated sludge that can be burned in a 600-degree Celsius combustion furnace and escape as gas. It is usually used to indicate the amount of organic matter in sludge, usually expressed in milligrams per liter (mg / L), and sometimes expressed in weight percentage. VSS also reflects the degree of sludge stabilization.

[0089] At present, phosphorus removal in my country's sewage treatment plants is mainly carried out by chemical phosphorus removal and biological phosphorus removal in parallel, but the amount of phosphorus removal agents is mainly determined by manual experience, which is not only a huge workload, but also prone to errors and lacks precision. At the same time, in order to meet the discharge standards for water quality, there is a common problem of excessive agent addition, which is too costly, and the existing technology does not have precise management of the phosphorus removal agent addition plan and the drug consumption control plan, which leads to the technical problem of low efficiency of intelligent control of phosphorus removal process in sewage treatment plants.

[0090] In order to solve the above technical problems, the present application provides an intelligent control method for phosphorus removal process in a sewage treatment plant, aiming to solve the above technical problems in the prior art. The inventive concept of the present application is: how to effectively improve the efficiency of intelligent control of phosphorus removal process in a sewage treatment plant.

[0091] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0092] Figure 1 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 1 ,like Figure 1 As shown, the method includes:

[0093] S101. Determine the phosphorus removal agent dosage plan from the pre-stored sewage treatment plant basic data.

[0094] In this embodiment, the intelligent control device for phosphorus removal process in the sewage treatment plant determines the phosphorus removal agent addition plan based on the pre-stored sewage treatment plant basic data, wherein the phosphorus removal agent addition plan includes: chemical phosphorus removal efficiency parameters, biological phosphorus removal efficiency parameters and synchronous biochemical phosphorus removal efficiency parameters.

[0095] It should be noted that before S101, basic data mining of sewage treatment plants was included.

[0096] Obtain daily continuous inlet and outlet water quality and quantity monitoring data through on-site monitoring or retrieval of sewage plant data records; determine the total phosphorus emission limit based on local emission standards; plan to use a control algorithm to control the cycle T; plan to use intelligent control equipment capital investment and equipment power operation and maintenance costs.

[0097] Optionally, if the intelligent control algorithm cycle is not used or the algorithm adopts a dynamic control cycle, the control cycle can be estimated by using the fluctuation of total phosphorus in the inlet and outlet water of the sewage treatment plant:

[0098] T=min(T H,in ,T H,out )

[0099] Among them, T H,in T is the minimum time interval between two data of influent total phosphorus concentration higher than the average value in one day. H,out It is the minimum time interval between two data in a day showing that the total phosphorus concentration in the effluent is higher than the average value.

[0100] It should also be noted that before S101, the parameters of chemical phosphorus removal efficiency parameters, biological phosphorus removal efficiency parameters and synchronous biochemical phosphorus removal efficiency parameters are also obtained.

[0101] Optionally, chemical phosphorus removal efficiency parameters are obtained through chemical flocculation phosphorus removal experiments and parameter fitting.

[0102] Specifically, under the hydraulic conditions of a simulated chemical phosphorus removal unit, chemical phosphorus removal experiments were carried out at different temperatures, pH values ​​and flocculant (such as polyaluminium chloride, polyferrous sulfate, etc.) addition ratios to determine the corresponding phosphorus removal efficiency data under different combinations of conditions.

[0103] For example, by carrying out flocculation experiments at different pH values ​​and aluminum salt (polyaluminum chloride, measured by aluminum content) addition ratios at 25°C, a phosphorus removal rate curve can be obtained, and then phosphorus removal efficiency data can be obtained based on the phosphorus removal rate curve.

[0104] Optionally, obtain biological phosphorus removal efficiency parameters.

[0105] Specifically, the total phosphorus, temperature, pH, COD and other indicators of the biological phosphorus removal unit in the existing sewage treatment plant were continuously monitored to calculate the average phosphorus removal efficiency of the biological phosphorus removal process. A mathematical model for biological phosphorus removal was constructed based on the ASM activated sludge model. After the model was calibrated using continuous monitoring data, the biological phosphorus removal efficiency under factors such as pH, temperature, COD, and total phosphorus concentration in the influent was calculated through model simulation.

[0106] Among them, COD is an indicator of the organic matter content in sewage, which affects the efficiency of biological phosphorus removal process. Generally, the COD of sewage is between 50-500 mg / L, the pH is between 6.5-8, and the set temperature is between 10-30℃.

[0107] For example, the commonly used mathematical model equations for biological phosphorus removal include the production and storage processes of PHA, that is, the PHA phosphorus polymerization process and the PHA polysaccharide process. The relevant kinetic parameters in the above processes are continuously detected through data, and the parameters are fitted and solved to obtain the calibrated model. Then, indicators such as pH, temperature, COD, and total phosphorus in the influent detected in different evaluation periods are input into the model, and the model is used to predict the phosphorus removal efficiency under different periods.

[0108] Optionally, the synchronous biochemical phosphorus removal efficiency parameters are obtained through synchronous biochemical phosphorus removal experiments and parameter fitting.

[0109] Specifically, a simultaneous biochemical phosphorus removal experiment was carried out under laboratory simulation conditions at different temperatures, pH values ​​and flocculant dosage ratios, and the corresponding phosphorus removal efficiency data under different combinations of conditions were determined.

[0110] Among them, the laboratory simulation conditions are: the set temperature is between 10-30℃, the pH is between 6.5-8, and the flocculant dosage ratio is between 0-3.

[0111] S102. Calculate the dosage of the phosphorus removal agent according to the phosphorus removal agent dosage plan.

[0112] In this embodiment, the intelligent control device for phosphorus removal process in the sewage treatment plant calculates the amount of phosphorus removal agent to be added according to the phosphorus removal agent addition plan and specific parameter data of the phosphorus removal agent addition plan.

[0113] S103, calculating a reduction index scheme based on the dosage of the phosphorus removal agent, and verifying the reduction index scheme.

[0114] In this embodiment, the intelligent control device for phosphorus removal process in the sewage treatment plant calculates the reduction index plan according to the dosage of phosphorus removal agent, and performs weight verification for the reduction index.

[0115] It should be noted that the reduction index plan includes multiple reduction indexes.

[0116] Among them, multiple reduction indicators include: drug consumption reduction indicator, sludge production reduction indicator, cost reduction indicator, carbon emission reduction indicator and stability indicator.

[0117] It should also be noted that the reduction index scheme is calculated based on the dosage of phosphorus removal agent, including:

[0118] Optionally, the reduction index of the dephosphorization agent consumption is calculated based on the dosage of the dephosphorization agent, including:

[0119] D r =D-∑Q d,i C d

[0120] Among them, D r is the drug consumption reduction index, D is the current daily drug consumption, in kilograms per day (kg / d), Q d,i is the target dosage of the agent, C d is the concentration of phosphorus removal agent, Q d,i C d is the actual drug consumption within a regulation cycle, ∑Q d,i C d It is the sum of the actual drug consumption in all regulation cycles within a day, that is, the actual drug consumption in a day.

[0121] Optionally, the sludge production reduction index is calculated based on the drug consumption reduction index, including:

[0122] S r =a×D r

[0123] Among them, S r It is the sludge reduction index, a is the sludge coefficient. If aluminum salt is used as coagulant, a is 1.53. If iron salt is used as coagulant, a is 1.9.

[0124] Optionally, the cost reduction index is calculated based on the drug consumption reduction index and the sludge production reduction index, including:

[0125] C r =D r ×P d +S r ×P s

[0126] Among them, C r is the cost reduction indicator, P d is the unit price of the drug, which is the market price in yuan per kilogram (yuan / kg); s It is the unit sludge treatment price, which is the market price, and the unit is yuan per ton (yuan / t).

[0127] Optionally, the carbon emission reduction index is calculated based on the cost reduction index and the sludge production reduction index, including:

[0128] CE r =EF d C r +EF s S r

[0129] Among them, CE r is the carbon emission reduction index, EF d is the carbon emission factor of the flocculant, expressed in kg CO2-eg / kg. s It is the carbon emission factor in the sludge treatment and disposal process, and its unit is carbon dioxide emissions per kilogram (kg CO2-eg / kg).

[0130] Optionally, calculate stability indicators, including:

[0131]

[0132] Among them, C p,eff,j is the instantaneous monitoring value of total phosphorus in effluent water, is the average value of total phosphorus in effluent, is the average total phosphorus concentration of incoming water within a regulation cycle, k is the water quality assurance coefficient of intelligent regulation, k is a positive number greater than one, C P,S is the standard limit of total phosphorus discharge in effluent water, It is the expected value of the fluctuation range of total phosphorus in the current effluent.

[0133] In addition, the reduction index also includes the cost input recovery index. The calculation of the cost input recovery index includes:

[0134]

[0135] Among them, C o is the daily operating cost of the newly added intelligent dosing system, and I is the investment cost of the newly added intelligent dosing system.

[0136] The present application provides an intelligent control method for phosphorus removal process in a sewage treatment plant, including: determining a phosphorus removal agent dosing plan from pre-stored sewage treatment plant basic data; calculating the phosphorus removal agent dosage according to the phosphorus removal agent dosing plan; calculating a reduction index plan according to the phosphorus removal agent dosage, and verifying the reduction index plan. Compared with the prior art, the amount of phosphorus removal agent is mainly determined by manual experience, which not only requires a huge workload, but is also prone to errors and lacks accuracy. At the same time, in order to achieve the discharge standard of water quality, there is a common problem of excessive dosage of chemicals, which results in excessively high costs. The existing technology does not have precise management of the phosphorus removal agent dosage plan and the drug consumption control plan, which leads to low efficiency of intelligent control of phosphorus removal process in sewage treatment plant. This application is based on the basic phosphorus removal agent dosage plan. By calculating the target flocculation efficiency in each control cycle and the phosphorus removal agent dosage position corresponding to the control cycle, the phosphorus removal agent dosage is accurately calculated to ensure accurate dosage of flocculation agents. At the same time, a variety of reduction index schemes are calculated based on the phosphorus removal agent dosage, and the reduction index is weighted and checked, which further realizes precise control of agent dosage, greatly saves costs in terms of labor and drug consumption, and thus improves the intelligent control efficiency of phosphorus removal process in sewage treatment plant.

[0137] Figure 2 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 2 ,exist Figure 1 Based on the example, Figure 2 As shown, the phosphorus removal agent addition scheme includes multiple control cycles, wherein the duration of each control cycle is the same as each other, and the specific implementation steps of the above S102 include:

[0138] S201, calculating the target flocculation efficiency in each control cycle.

[0139] Calculation of the target flocculation efficiency in each control cycle specifically includes:

[0140]

[0141] in, is the average total phosphorus concentration of incoming water during the target control period, k is the water quality assurance coefficient of the intelligent control effluent, k is a positive number greater than one, C P,S is the standard limit of total phosphorus discharge in effluent water, It is the expected value of the fluctuation range of total phosphorus in the current effluent.

[0142] S202, determining the phosphorus removal agent addition position corresponding to each control cycle.

[0143] Among them, the locations for adding phosphorus removal agents include: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biochemical phosphorus removal.

[0144] Specifically, pre-chemical phosphorus removal means that the phosphorus removal agent is added before the biological phosphorus removal process stage and the precipitation separation is completed; synchronous biochemical phosphorus removal means that the phosphorus removal agent is added during the biological phosphorus removal process stage, and chemical phosphorus removal and biological phosphorus removal are carried out simultaneously; post-chemical phosphorus removal means that the phosphorus removal agent is added after the biological phosphorus removal stage. For the three phosphorus removal combinations, different methods need to be used to calculate their chemical phosphorus removal efficiency.

[0145] S203, calculating the dosage of the phosphorus removal agent in each control cycle according to the phosphorus removal agent addition position.

[0146] In this embodiment, a day is divided into multiple control cycles of equal length. Different control cycles correspond to different phosphorus removal agent addition positions, and the phosphorus removal agent addition amounts are also different. Calculations are performed based on different phosphorus removal agent addition positions and different control cycles, thereby achieving accurate calculations and further ensuring the precise addition of flocculants, thereby improving the quality and efficiency of urban sewage collection systems.

[0147] Figure 3 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 3 ,exist Figure 1 and Figure 2 Based on the example, Figure 3 As shown, the target regulation cycle is any one of the multiple regulation cycles, and the specific implementation steps of the above S203 include:

[0148] S301. Calculate the agent dosage ratio within the target regulation period according to the phosphorus removal agent dosage position and the target flocculation efficiency within the target regulation period.

[0149] Among them, the locations for adding phosphorus removal agents include: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biochemical phosphorus removal.

[0150] Specifically, pre-chemical phosphorus removal means that the phosphorus removal agent is added before the biological phosphorus removal process stage and the precipitation separation is completed; synchronous biochemical phosphorus removal means that the phosphorus removal agent is added during the biological phosphorus removal process stage, and chemical phosphorus removal and biological phosphorus removal are carried out simultaneously; post-chemical phosphorus removal means that the phosphorus removal agent is added after the biological phosphorus removal stage. For the three phosphorus removal combinations, different methods need to be used to calculate their chemical phosphorus removal efficiency.

[0151] Optionally, when the phosphorus removal agent addition position is pre-chemical phosphorus removal, the agent addition ratio within the target regulation period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency within the target regulation period, specifically including:

[0152] E i =E c +E b

[0153] E c =F(r,T,PH)

[0154] E b1 =F(T,PH,Vss,C p,out ,C COD,out )

[0155] Among them, E i is the target flocculation efficiency, E c is the phosphorus removal efficiency of chemical flocculation, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of the flocculation agent influent, T is the temperature, PH is the solution acidity, Vss is the activated sludge concentration, C p,out is the total phosphorus concentration of the effluent from the phosphorus removal agent dosing unit, C COD,out is the COD concentration of the effluent from the phosphorus removal agent dosing unit, and F is the calculation model, which depends on the actual situation.

[0156] Optionally, when the phosphorus removal agent addition position is post-chemical phosphorus removal, the agent addition ratio within the target regulation cycle is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency within the target regulation cycle, specifically including:

[0157] E i =E c =F(r,T,PH)

[0158] More optionally, when the phosphorus removal agent addition position is synchronous biochemical phosphorus removal, the agent addition ratio within the target regulation period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency within the target regulation period, specifically including:

[0159] E i =E c +E b

[0160] E c =F(r,T,PH)

[0161] E b2 =F(T,PH,Vss,C p,in ,C COD,in )

[0162] Among them, E b2 is the biological phosphorus removal efficiency, C p,in is the total phosphorus concentration of the influent of the phosphorus removal agent dosing unit, C COD,in It is the COD concentration of the influent of the phosphorus removal agent dosing unit.

[0163] S302. Calculate the dosage of the phosphorus removal agent within the target control period according to the agent dosage ratio.

[0164] According to the dosage ratio of the agent, calculate the dosage of the phosphorus removal agent within the target control period, specifically including:

[0165]

[0166] Among them, r i is the dosage ratio of the reagent, Q d,i is the dosage of phosphorus removal agent within the target regulation period, C d is the concentration of phosphorus removal agent, Q in,i is the water inlet flow rate, C P,in,i is the total phosphorus concentration in the influent.

[0167] In this embodiment, based on the different phosphorus removal processes corresponding to a control cycle, different formulas are adopted, and the target flocculation efficiency is used to calculate the target agent dosage of the control cycle, thereby achieving accurate calculation of the phosphorus removal agent dosage, further ensuring the accurate addition of flocculation agents, thereby improving the quality and efficiency of urban sewage collection systems.

[0168] Figure 4 A schematic diagram of a process for intelligently controlling phosphorus removal in a sewage treatment plant provided in an embodiment of the present application Figure 4 ,exist Figure 1 , Figure 2 and Figure 3 Based on the example, Figure 4 As shown, the specific implementation steps of the above S103 include:

[0169] S401. Calculate the weight corresponding to each reduction index through the hierarchical analysis method.

[0170] Firstly, a hierarchical structure model is established according to a variety of reduction indicators, and the judgment matrix of the hierarchical structure model is constructed according to the scale.

[0171] Secondly, the characteristic equation is obtained according to the judgment matrix, and the characteristic equation is solved to calculate the maximum characteristic root λmax And the eigenvector x corresponding to the characteristic equation.

[0172] Again, the feature vector x is normalized to obtain the weight corresponding to each reduction index.

[0173] Finally, after obtaining the weight corresponding to each reduction indicator, the judgment matrix A must be checked for consistency to determine the rationality of the weight distribution.

[0174] S402. Perform weighted calculation on each reduction index to obtain a comprehensive benefit score of the reduction index plan.

[0175] Calculate the comprehensive benefit score of the reduction index plan, including:

[0176] D F =W1D r +W2C r +W3E+W4CE r +W5R+W6 ROI

[0177] Among them, W1 is the weight of the drug consumption reduction index, W2 is the weight of the sludge production reduction index, W3 is the weight of the cost reduction index, W4 is the weight of the carbon emission reduction index, W5 is the weight of the stability index, W6 is the weight of the cost input recovery index, and M is the score threshold.

[0178] S403. When the comprehensive benefit score is greater than the score threshold, the verification result is output as verification passed.

[0179] In this embodiment, when D F >M, it indicates that the reduction index program can bring beneficial effects, and it is recommended to implement intelligent and precise addition of phosphorus removal agents according to the reduction index program.

[0180] In addition, when the comprehensive benefit score is less than or equal to the score threshold, it means that the reduction index plan cannot bring beneficial effects. The reduction index plan is abolished, and the intelligent control device of the phosphorus removal process of the sewage treatment plant recalculates and generates a reduction index plan until the generated reduction index plan can bring beneficial effects.

[0181] In this embodiment, based on the accurately calculated dosage of the phosphorus removal agent, an accurate and appropriate reduction index plan can be obtained, and then a weight check is performed to determine whether the reduction index plan can bring beneficial effects, thereby avoiding the problem of excessive agent dosage, greatly saving costs in terms of labor and agent consumption, and thereby improving the intelligent control efficiency of the phosphorus removal process in the sewage treatment plant.

[0182] The embodiment of the present invention can divide the electronic device or the main control device into functional modules according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0183] Figure 5 A schematic diagram of the structure of an intelligent control device for phosphorus removal process in a sewage plant provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the device includes: a data acquisition device 51, a data processing device 52 and a data verification device 53.

[0184] The data acquisition device 51 is used to determine the phosphorus removal agent addition plan from the pre-stored sewage treatment plant basic data;

[0185] The data processing device 52 is used to calculate the dosage of the phosphorus removal agent according to the phosphorus removal agent dosage plan;

[0186] The data verification device 53 is used to calculate the reduction index scheme according to the dosage of the phosphorus removal agent and verify the reduction index scheme.

[0187] In a possible design, the phosphorus removal agent dosing scheme includes a plurality of control cycles, wherein the duration of each control cycle is the same as each other;

[0188] According to the phosphorus removal agent dosage scheme, the phosphorus removal agent dosage is calculated. The data processing device 52 is also used for:

[0189] Calculate the respective target flocculation efficiency in each regulation cycle;

[0190] Determine the dosing position of the phosphorus removal agent corresponding to each control cycle;

[0191] According to the location of phosphorus removal agent addition, calculate the amount of phosphorus removal agent added in each control cycle.

[0192] In one possible design, the target regulation cycle is any one of multiple regulation cycles;

[0193] According to the phosphorus removal agent addition position, the phosphorus removal agent addition amount in each control cycle is calculated. The data processing device 52 is also used for:

[0194] According to the dosing position of the phosphorus removal agent and the target flocculation efficiency within the target control period, the agent dosing ratio within the target control period is calculated;

[0195] According to the dosage ratio of the agent, calculate the dosage of the phosphorus removal agent within the target control period.

[0196] In a possible design, the positions for adding phosphorus removal agents include: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biochemical phosphorus removal;

[0197] The data processing device 52 is also used for:

[0198] When the phosphorus removal agent is added at the pre-chemical phosphorus removal location, the agent addition ratio within the target regulation cycle is calculated based on the phosphorus removal agent addition location and the target flocculation efficiency within the target regulation cycle, specifically including:

[0199] E i =E c +E b

[0200] E c =F(r,T,PH)

[0201] E b1 =F(T,PH,Vss,C p,out ,C COD,out )

[0202] Among them, E i is the target flocculation efficiency, E c is the phosphorus removal efficiency of chemical flocculation, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of the flocculation agent influent, T is the temperature, PH is the solution acidity, Vss is the activated sludge concentration, C p,out is the total phosphorus concentration of the effluent from the phosphorus removal agent dosing unit, C COD,out It is the COD concentration of the effluent from the phosphorus removal agent dosing unit;

[0203] When the phosphorus removal agent is added at the post-chemical phosphorus removal location, the agent addition ratio within the target regulation cycle is calculated based on the phosphorus removal agent addition location and the target flocculation efficiency within the target regulation cycle, including:

[0204] E i =E c =F(r,T,PH)

[0205] When the phosphorus removal agent is added at the synchronous biochemical phosphorus removal location, the agent addition ratio within the target regulation cycle is calculated according to the phosphorus removal agent addition location and the target flocculation efficiency within the target regulation cycle, specifically including:

[0206] E i =E c +E b

[0207] E c =F(r,T,PH)

[0208] E b2 =F(T,PH,Vss,C p,in ,C COD,in )

[0209] Among them, E b2 is the biological phosphorus removal efficiency, C p,in is the total phosphorus concentration of the influent of the phosphorus removal agent dosing unit, C COD,in It is the COD concentration of the influent of the phosphorus removal agent dosing unit.

[0210] In a possible design, the data processing device 52 is further configured to:

[0211] In the target control cycle, the target flocculation efficiency in each control cycle is calculated, including:

[0212]

[0213] in, is the average total phosphorus concentration of incoming water during the target control period, k is the water quality assurance coefficient of the intelligent control effluent, k is a positive number greater than one, C P,S is the standard limit of total phosphorus discharge in effluent water, is the expected value of the fluctuation range of total phosphorus in the current effluent;

[0214] According to the dosage ratio of the agent, calculate the dosage of the phosphorus removal agent within the target control period, specifically including:

[0215]

[0216] Among them, r i is the dosage ratio of the reagent, Q d,i is the dosage of phosphorus removal agent within the target regulation period, C d is the concentration of phosphorus removal agent, Q in,i is the water inlet flow rate, C P,in,i is the total phosphorus concentration in the influent.

[0217] In one possible design, the reduction index scheme includes multiple reduction indexes;

[0218] Multiple reduction indicators include: drug consumption reduction indicator, mud production reduction indicator, cost reduction indicator, carbon emission reduction indicator and stability indicator;

[0219] The data verification device 53 is also used for:

[0220] The reduction index scheme is calculated based on the dosage of phosphorus removal agent, including:

[0221] The reduction index of drug consumption is calculated based on the dosage of phosphorus removal agent, including:

[0222] D r =D-∑Q d,i C d

[0223] Among them, D r is the drug consumption reduction index, and D is the current daily drug consumption;

[0224] The sludge production reduction index is calculated based on the drug consumption reduction index, including:

[0225] S r =a×D r

[0226] Among them, S r is the sludge reduction index, a is the sludge coefficient;

[0227] The cost reduction index is calculated based on the drug consumption reduction index and the mud production reduction index, including:

[0228] C r =D r ×P d +S r ×P s

[0229] Among them, C r is the cost reduction indicator, P d is the unit drug price; P s is the unit sludge treatment price;

[0230] The carbon emission reduction index is calculated based on the cost reduction index and the sludge production reduction index, including:

[0231] CE r =EF d C r +EF s S r

[0232] Among them, CE r is the carbon emission reduction index, EF d is the carbon emission factor of the flocculant, EF s is the carbon emission factor during sludge treatment and disposal;

[0233] Calculate stability indicators, including:

[0234]

[0235] Among them, C p,eff,j is the instantaneous monitoring value of total phosphorus in effluent water, is the average value of total phosphorus in effluent.

[0236] In a possible design, the data verification device 53 is further used for:

[0237] By using the analytic hierarchy process, the weight corresponding to each reduction indicator is calculated;

[0238] Perform weighted calculation on each reduction index to obtain the comprehensive benefit score of the reduction index plan;

[0239] When the comprehensive benefit score is greater than the score threshold, the output verification result is verification passed.

[0240] The present embodiment provides an intelligent control device for phosphorus removal process in a sewage treatment plant, which can execute an intelligent control method for phosphorus removal process in a sewage treatment plant according to the above embodiment. The implementation principle and technical effects thereof are similar, and will not be described in detail in the present embodiment.

[0241] In the specific implementation of the aforementioned intelligent control method for phosphorus removal process in a sewage treatment plant, each module can be implemented as a processor, and the processor can execute computer execution instructions stored in the memory, so that the processor executes the aforementioned intelligent control method for phosphorus removal process in a sewage treatment plant.

[0242] Figure 6 This is a schematic diagram of the structure of an electronic device provided by this application. Figure 6 The electronic device 60 includes: at least one processor 61 and a memory 62. The electronic device 60 also includes a communication component 63. The processor 61, the memory 62 and the communication component 63 are connected via a bus 64.

[0243] In the specific implementation process, at least one processor 61 executes the computer execution instructions stored in the memory 62, so that at least one processor 61 executes an intelligent control method for phosphorus removal process in a sewage treatment plant as executed by the electronic device side above.

[0244] The specific implementation process of the processor 61 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0245] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0246] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk storage.

[0247] The second bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0248] The above-mentioned functions implemented by the electronic device and the main control device introduce the scheme provided by the embodiment of the present invention. It can be understood that in order to implement the above-mentioned functions, the electronic device or the main control device includes a hardware structure and / or software module corresponding to the execution of each function. In combination with the units and algorithm steps of each example described in the embodiment disclosed in the embodiment of the present invention, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiment of the present invention.

[0249] The present application also provides a computer-readable storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, it is used to implement the above-mentioned intelligent control method for phosphorus removal process in a sewage treatment plant.

[0250] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0251] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in an electronic device or a main control device.

[0252] The present application also provides a computer program product, which includes: a computer program, which is stored in a readable storage medium. At least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the above embodiments.

[0253] Those skilled in the art can understand that all or part of the steps of the above method embodiments can be completed by hardware related to program instructions. The above program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above method embodiments are executed; and the above storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0254] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An intelligent control method for phosphorus removal process in a sewage treatment plant, characterized in that: The method comprises: Determine the phosphorus removal agent dosing plan from the pre-stored sewage plant basic data; According to the phosphorus removal agent dosage plan, the phosphorus removal agent dosage is calculated; A reduction index scheme is calculated based on the dosage of the phosphorus removal agent, and the reduction index scheme is verified.

2. The method according to claim 1, characterized in that The phosphorus removal agent addition scheme includes a plurality of control cycles, wherein the duration of each of the control cycles is the same as each other; The step of calculating the dosage of the phosphorus removal agent according to the phosphorus removal agent dosage scheme includes: Calculating the target flocculation efficiency in each of the regulation cycles; Determine the phosphorus removal agent addition position corresponding to each of the control cycles; According to the phosphorus removal agent addition position, the phosphorus removal agent addition amount in each of the control cycles is calculated.

3. The method according to claim 2, characterized in that The target regulation cycle is any one of the plurality of regulation cycles; The step of calculating the dosage of the phosphorus removal agent in each regulation cycle according to the phosphorus removal agent dosage position includes: Calculating the agent dosage ratio within the target regulation period according to the phosphorus removal agent dosage position and the target flocculation efficiency within the target regulation period; According to the agent dosage ratio, the phosphorus removal agent dosage within the target control period is calculated.

4. The method according to claim 3, characterized in that The phosphorus removal agent addition positions include: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biochemical phosphorus removal; When the phosphorus removal agent addition position is the pre-chemical phosphorus removal, the agent addition ratio within the target regulation period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency within the target regulation period, specifically including: AND i =And c +E b E c =F(r,T,PH) E b1 =F(T,PH,Vss,C p,out ,C COD,out ) Among them, E i is the target flocculation efficiency, E c is the phosphorus removal efficiency of chemical flocculation, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of the flocculation agent influent, T is the temperature, PH is the solution acidity, Vss is the activated sludge concentration, C p,out is the total phosphorus concentration of the effluent from the phosphorus removal agent dosing unit, C COD,out It is the COD concentration of the effluent from the phosphorus removal agent dosing unit; When the phosphorus removal agent addition position is the post-chemical phosphorus removal, the agent addition ratio within the target regulation period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency within the target regulation period, specifically including: E i =E c =F(r,T,PH) When the phosphorus removal agent addition position is the synchronous biochemical phosphorus removal, the agent addition ratio within the target regulation period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency within the target regulation period, specifically including: AND i =And c +E b E c =F(r,T,PH) E b2 =F(T,PH,Vss,C p,in ,C COD,in ) Among them, E b2 is the biological phosphorus removal efficiency, C p,in is the total phosphorus concentration of the influent of the phosphorus removal agent dosing unit, C COD,in It is the COD concentration of the influent of the phosphorus removal agent dosing unit.

5. The method according to claim 4, characterized in that In the target regulation cycle, the calculation of the target flocculation efficiency in each regulation cycle specifically includes: in, is the average total phosphorus concentration of the incoming water during the target regulation period, k is the water quality assurance coefficient of the intelligent regulation effluent, k is a positive number greater than one, C P,S is the standard limit of total phosphorus discharge in effluent water, is the expected value of the fluctuation range of total phosphorus in the current effluent; The step of calculating the dosage of the phosphorus removal agent within the target regulation period according to the agent dosage ratio specifically includes: Among them, r i is the dosage ratio of the agent, Q d,i is the dosage of the phosphorus removal agent within the target regulation period, C d is the concentration of phosphorus removal agent, Q in,i is the water inlet flow rate, C P,in,i is the total phosphorus concentration in the influent.

6. The method according to claim 5, characterized in that The reduction index plan includes a plurality of reduction indexes; The multiple reduction indicators include: a drug consumption reduction indicator, a sludge production reduction indicator, a cost reduction indicator, a carbon emission reduction indicator and a stability indicator; The reduction index scheme is calculated based on the dosage of the phosphorus removal agent, including: The drug consumption reduction index is calculated based on the dosage of the phosphorus removal agent, specifically including: D r =D-∑Q d,i C d Among them, D r is the drug consumption reduction index, and D is the current daily drug consumption; The sludge production reduction index is calculated according to the drug consumption reduction index, specifically including: S r =a×D r Among them, S r is the sludge reduction index, a is the sludge coefficient; The cost reduction index is calculated based on the drug consumption reduction index and the mud production reduction index, and specifically includes: C r =D r ×P d +S r ×P s Among them, C r is the cost reduction index, P d is the unit drug price; P s is the unit sludge treatment price; The carbon emission reduction index is calculated according to the cost reduction index and the sludge production reduction index, and specifically includes: WHAT r =EF d C r +EF s S r Among them, CE r is the carbon emission reduction index, EF d is the carbon emission factor of the flocculant, EF s is the carbon emission factor during sludge treatment and disposal; Calculating the stability index specifically includes: Among them, C p,eff,j is the instantaneous monitoring value of total phosphorus in effluent water, is the average value of total phosphorus in effluent.

7. The method according to claim 6, characterized in that The method of verifying the reduction index plan includes: Calculate the weight corresponding to each reduction index by using the hierarchical analysis method; Performing weighted calculation on each of the reduction indicators to obtain a comprehensive benefit score of the reduction indicator plan; When the comprehensive benefit score is greater than the score threshold, the output verification result is verification passed.

8. An intelligent control device for phosphorus removal process in a sewage treatment plant, characterized in that: include: Data acquisition device, data processing device and data verification device; The data acquisition device is used to determine the phosphorus removal agent addition plan from the pre-stored sewage plant basic data; The data processing device is used to calculate the dosage of the phosphorus removal agent according to the phosphorus removal agent dosage plan; The data verification device is used to calculate the reduction index plan based on the dosage of the phosphorus removal agent and verify the reduction index plan.

9. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; When the processor executes the computer-executable instructions stored in the memory, it is used to implement the intelligent control method for phosphorus removal process in a sewage treatment plant as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the intelligent control method for phosphorus removal process in a sewage treatment plant as described in any one of claims 1 to 7.

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