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

Abstract

The application provides a sewage plant phosphorus removal process intelligent regulation and control method, device, equipment and storage medium. The method comprises the following steps: determining a phosphorus removal reagent dosing scheme from pre-stored sewage plant basic data; calculating a phosphorus removal reagent dosing amount according to the phosphorus removal reagent dosing scheme; calculating a reduction index scheme according to the phosphorus removal reagent dosing amount, and verifying the reduction index scheme. The method solves the problem that the dosing amount of the phosphorus removal reagent is mainly determined by artificial 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 water quality discharge standard, the problem of excessive reagent dosing exists universally, the cost consumption is too high, and the existing technology does not have accurate management of the phosphorus removal reagent dosing scheme and the reagent consumption regulation scheme, thereby causing the technical problem of low sewage plant phosphorus removal process intelligent regulation and control efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent regulation and control of sewage plants, and in particular to a sewage plant phosphorus removal process intelligent regulation and control method, device, equipment and storage medium. BACKGROUND

[0002] Phosphorus removal efficiency is an important indicator for regulating pollutant emissions of sewage plants. Sewage plant phosphorus removal processes include biological phosphorus removal and chemical phosphorus removal. Chemical phosphorus removal is achieved by adding chemical agents to form insoluble phosphate precipitates, and ultimately removing phosphorus from sewage through solid-liquid separation. Biological phosphorus removal relies on polyphosphorus bacteria in activated sludge and uses microbial metabolic activity to remove phosphorus.

[0003] Chemical phosphorus removal mainly relies on relatively high-cost chemical agents, while biological phosphorus removal does not require the addition of chemical agents, but it has limitations and is difficult to remove phosphorus from wastewater with specific components. In addition, it has poor stability and flexibility, and the phosphate concentration in the effluent will increase significantly with changes in the external environment.

[0004] Currently, sewage plant phosphorus removal in China mainly involves parallel operation of chemical phosphorus removal and biological phosphorus removal. However, the dosage of phosphorus removal agents is mainly determined by human experience, which is not only labor-intensive but also prone to errors and lacks precision. At the same time, to meet water quality standards for discharge, there is a common problem of over-dosing of agents, resulting in high costs. However, existing technologies do not provide precise management of phosphorus removal agent dosing schemes and agent consumption control schemes, leading to low efficiency of sewage plant phosphorus removal process intelligent regulation and control. SUMMARY

[0005] The present application provides a sewage plant phosphorus removal process intelligent regulation and control method, device, equipment and storage medium to solve the problem of determining the dosage of phosphorus removal agents mainly by human experience, which is not only labor-intensive but also prone to errors and lacks precision. At the same time, to meet water quality standards for discharge, there is a common problem of over-dosing of agents, resulting in high costs. However, existing technologies do not provide precise management of phosphorus removal agent dosing schemes and agent consumption control schemes, leading to low efficiency of sewage plant phosphorus removal process intelligent regulation and control.

[0006] In a first aspect, the present application provides a sewage plant phosphorus removal process intelligent regulation and control method, which comprises:

[0007] Determining a phosphorus removal agent dosing scheme from pre-stored sewage plant basic data;

[0008] Calculating the dosage of phosphorus removal agents according to the phosphorus removal agent dosing scheme;

[0009] Calculating a reduction index scheme from the dosage of phosphorus removal agents and verifying the reduction index scheme.

[0010] In a possible design, the phosphorus removal agent dosing scheme includes a plurality of regulation periods, and a length of each regulation period is the same as that of another regulation period;

[0011] According to the phosphorus removal agent dosing scheme, the phosphorus removal agent dosing amount is calculated, including:

[0012] The target flocculation efficiency in each regulation period is calculated;

[0013] The phosphorus removal agent dosing position corresponding to each regulation period is determined;

[0014] According to the phosphorus removal agent dosing position, the phosphorus removal agent dosing amount in each regulation period is calculated.

[0015] In a possible design, the target regulation period is any one of the plurality of regulation periods;

[0016] According to the phosphorus removal agent dosing position, the phosphorus removal agent dosing amount in each regulation period is calculated, including:

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

[0018] According to the agent dosing ratio, the phosphorus removal agent dosing amount in the target regulation period is calculated.

[0019] In a possible design, the phosphorus removal agent dosing position includes: pre-chemical phosphorus removal, post-chemical phosphorus removal, and synchronous biological-chemical phosphorus removal;

[0020] When the phosphorus removal agent dosing position is pre-chemical phosphorus removal, according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target regulation period, the agent dosing ratio in the target regulation period is calculated, 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] Wherein, E i is the target flocculation efficiency, E c is the chemical flocculation phosphorus removal efficiency, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of flocculating agent influent, T is the temperature, PH is the solution pH, Vss is the activated sludge concentration, Cp,out is the total phosphorus concentration of the effluent of the phosphorus removal agent dosing unit, COD,out is the COD concentration of the effluent of the phosphorus removal agent dosing unit;

[0025] When the phosphorus removal agent dosing position is post-chemical phosphorus removal, the agent dosing ratio in the target regulation period is calculated according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target regulation period, specifically including:

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

[0027] When the phosphorus removal agent dosing position is synchronous biological and chemical phosphorus removal, the agent dosing ratio in the target regulation period is calculated according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target regulation period, 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] Wherein, 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 is the COD concentration of the influent of the phosphorus removal agent dosing unit.

[0032] In one possible design, in the target regulation period, the target flocculation efficiency in each regulation period is calculated, specifically including:

[0033]

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

[0035] According to the agent dosing ratio, the phosphorus removal agent dosing amount in the target regulation period is calculated, specifically including:

[0036]

[0037] Wherein, ri is the dosage ratio of the agent, Q d,i is the dosage of the phosphorus removal agent in the target control period, C d is the concentration of the phosphorus removal agent, Q in,i is the influent flow rate, C P,in,i is the total phosphorus concentration of the influent.

[0038] In one possible design, the reduction index scheme includes a plurality of reduction indexes;

[0039] The plurality of reduction indexes includes: a drug consumption reduction index, a sludge production reduction index, a cost reduction index, a carbon emission reduction index, and a stability index;

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

[0041] The drug consumption reduction index is calculated according to the dosage of the phosphorus removal agent, specifically including:

[0042] D r = D - ∑Q d,i C d

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

[0044] The sludge production reduction index is calculated according to the drug consumption reduction index, specifically including:

[0045] S r = a x D r

[0046] wherein S r is the sludge production reduction index, and a is the sludge production coefficient;

[0047] The cost reduction index is calculated according to the drug consumption reduction index and the sludge production reduction index, specifically including:

[0048] C r = D r x P d + S r x P s

[0049] wherein C r is the cost reduction index, P d is the unit price of the agent; and P s is the unit sludge treatment price;

[0050] The carbon emission reduction index is calculated according to the cost reduction index and the sludge production reduction index, specifically including:

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

[0052] wherein, CE r is a carbon emission reduction index, EF d is a carbon emission factor of flocculating agent, EF s is a carbon emission factor in sludge treatment and disposal process;

[0053] The stability index is calculated, specifically comprising:

[0054]

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

[0056] In a possible design, the reduction index scheme is verified, comprising:

[0057] The weight corresponding to each reduction index is calculated by the analytic hierarchy process;

[0058] The weighted calculation is performed on each reduction index to obtain the comprehensive benefit score of the reduction index scheme;

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

[0060] In a second aspect, the present application provides a sewage plant phosphorus removal process intelligent regulation and control device, which comprises: a data acquisition device, a data processing device and a data verification device;

[0061] The data acquisition device is used to determine the phosphorus removal agent dosing scheme from the pre-stored sewage plant basic data.

[0062] The data processing device is used to calculate the phosphorus removal agent dosage according to the phosphorus removal agent dosing scheme.

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

[0064] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory in communication connection with the processor;

[0065] The memory stores computer execution instructions;

[0066] When the processor executes the computer execution instructions stored in the memory, it is used to realize the sewage plant phosphorus removal process intelligent regulation and control method of the first aspect of the application.

[0067] In a fourth aspect, the present application provides a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed by a processor, the computer-executable instructions are used to implement the phosphorus removal process intelligent regulation and control method of the first aspect.

[0068] In a fifth aspect, the present application provides a computer program product, and the computer program product comprises a computer program. When the computer program is executed by a processor, the computer program is used to implement the phosphorus removal process intelligent regulation and control method of the first aspect.

[0069] The phosphorus removal process intelligent regulation and control method, device, equipment and storage medium provided by the present application comprise the following steps: determining a phosphorus removal agent dosing scheme from pre-stored sewage plant basic data; calculating a phosphorus removal agent dosing amount according to the phosphorus removal agent dosing scheme; and calculating a reduction index scheme according to the phosphorus removal agent dosing amount and verifying the reduction index scheme. Compared with the existing technology, the amount of phosphorus removal agent is mainly determined by artificial experience, which not only has a huge workload, but also is prone to errors and lacks precision. At the same time, in order to meet the water quality discharge standard, there is a common problem of excessive dosing of agents, which consumes too much cost. However, the existing technology does not have accurate management of the phosphorus removal agent dosing scheme and the agent consumption regulation scheme, thereby resulting in low efficiency of the sewage plant phosphorus removal process intelligent regulation and control. Based on the basic phosphorus removal agent dosing scheme, the present application calculates the target flocculation efficiency in each regulation and control period and the phosphorus removal agent dosing position corresponding to the regulation and control period, accurately calculates the phosphorus removal agent dosing amount, ensures accurate dosing of flocculating agents, and further realizes accurate regulation and control of agent dosing, greatly saves the cost of labor and agent consumption, and thus improves the efficiency of the sewage plant phosphorus removal process intelligent regulation and control. BRIEF DESCRIPTION OF DRAWINGS

[0070] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0071] Figure 1 A flowchart of a sewage plant phosphorus removal process intelligent regulation and control method provided by the present application Figure 1 ;

[0072] Figure 2 A flowchart of a sewage plant phosphorus removal process intelligent regulation and control method provided by the present application Figure 2 ;

[0073] Figure 3 A flowchart of a sewage plant phosphorus removal process intelligent regulation method provided in an embodiment of the present application Figure 3 ;

[0074] Figure 4 A flowchart of a sewage plant phosphorus removal process intelligent regulation method provided in an embodiment of the present application Figure 4 ;

[0075] Figure 5 A structural diagram of a sewage plant phosphorus removal process intelligent regulation device provided in an embodiment of the present application

[0076] Figure 6 A structural diagram of an electronic device provided in the present application.

[0077] Reference signs:

[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] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is with reference to the drawings, in which like numerals represent like elements throughout the several figures. The following description of exemplary embodiments is not representative of all of the embodiments consistent with the present application. Rather, it is merely an example of apparatus and methods consistent with some aspects of the present application as detailed in the appended claims.

[0081] In the embodiments of the present application, the same items or similar items with basically the same functions and effects are distinguished by using “first”, “second”, etc. The skilled in the art can understand that “first”, “second”, etc. do not limit the quantity and execution order, and “first”, “second”, etc. also do not necessarily mean different. It should be noted that in the embodiments of the present application, “exemplary” or “for example” is used to represent as an example, illustration or description. Any embodiment or design scheme described as “exemplary” or “for example” in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, “exemplary” or “for example” is used to present the relevant concept in a specific manner. In the embodiments of the present application, “at least one” means one or more, and “multiple” means two or more than two.

[0082] It should be noted that the "at" in the embodiments of the present application can be the moment when a certain condition occurs, or a period of time after a certain condition occurs, and the embodiments of the present application do not make specific limitations. In addition, the training method for automatic driving lateral control provided by the embodiments of the present application is only as an example, and the training method for automatic driving lateral control can also include more or less content.

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

[0084] Aerobic granular sludge: Aerobic granular sludge (AGS) is a granular activated sludge formed by microbial self-aggregation. Compared with ordinary activated sludge, it has the characteristics of not easy to cause sludge bulking, strong impact resistance, can withstand high organic load, and integrates different types of microorganisms (aerobic, facultative and anaerobic microorganisms) in one.

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

[0086] Polyhydroxyalkanoate: Polyhydroxyalkanoate (PHA) is a high molecular biological material, which 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 a source of energy for microorganisms. PHA is biodegradable and can be decomposed into carbon dioxide and water under appropriate conditions.

[0087] Chemical oxygen demand: Chemical oxygen demand (COD) is the amount of reducing substances that need to be oxidized in a water sample measured by chemical methods, which is an important parameter for checking organic pollution in water bodies.

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

[0089] At present, the main phosphorus removal in sewage plants in China is chemical phosphorus removal and biological phosphorus removal operating in parallel, but the dosage of phosphorus removal reagent is mainly determined by manual experience, which not only has a huge workload, but also is prone to errors and lacks precision. At the same time, in order to meet the water quality discharge standard, there is a common problem of over-dosing of reagents, which results in high cost consumption. However, the existing technology does not have precise management of phosphorus removal reagent dosing scheme and reagent consumption control scheme, thereby causing the technical problem of low efficiency of intelligent control of sewage plant phosphorus removal process.

[0090] To solve the above technical problems, the present application provides an intelligent control method for sewage plant phosphorus removal process, which aims to solve the above technical problems of the prior art. The inventive concept of the present application is how to effectively improve the intelligent control efficiency of the sewage plant phosphorus removal process.

[0091] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes can not be described again in some examples. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0092] Figure 1 A flowchart of an intelligent control method for sewage plant phosphorus removal process provided by the present application Figure 1 As shown in Figure 1 , the method comprises:

[0093] S101, determining a phosphorus removal reagent dosing scheme from pre-stored sewage plant basic data.

[0094] In this embodiment, the intelligent control device for sewage plant phosphorus removal process determines the phosphorus removal reagent dosing scheme based on the pre-stored sewage plant basic data, wherein the phosphorus removal reagent dosing scheme includes chemical phosphorus removal efficiency parameters, biological phosphorus removal efficiency parameters and simultaneous biological-chemical phosphorus removal efficiency parameters.

[0095] It should be noted that the sewage plant basic data mining is included before S101.

[0096] Obtain daily continuous inlet and outlet water quality and quantity monitoring data through on-site monitoring or sewage plant data record retrieval; determine the total phosphorus emission limit value according to the local emission standard; adopt the control algorithm with a control period T; adopt the intelligent control equipment with capital investment and equipment power operation and maintenance cost.

[0097] Optionally, if the intelligent control algorithm period is not adopted or the algorithm adopts a dynamic control period, the total phosphorus fluctuation in the sewage plant inlet and outlet water can be used to estimate the control period:

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

[0099] wherein, T H,in is the minimum time interval of two data of the total phosphorus concentration of the influent being higher than the average value within a day, T H,out is the minimum time interval of two data of the total phosphorus concentration of the effluent being higher than the average value within a day.

[0100] It should be further noted that the parameter acquisition of the chemical phosphorus removal efficiency parameter, the biological phosphorus removal efficiency parameter and the simultaneous biological and chemical phosphorus removal efficiency parameter is also included before S101.

[0101] Optionally, the chemical phosphorus removal efficiency parameter is acquired through a chemical flocculation phosphorus removal experiment and parameter fitting.

[0102] Specifically, under the simulated hydraulic conditions of the chemical phosphorus removal unit, chemical phosphorus removal experiments are carried out under different temperatures, PH values and flocculant (such as polyaluminum chloride, polymeric ferrous sulfate, etc.) dosing ratios to measure the corresponding phosphorus removal efficiency data under different combinations of conditions.

[0103] For example, flocculation experiments are carried out under different PH values and aluminum salt (polyaluminum chloride, calculated based on aluminum content) dosing ratios at 25℃ to obtain a phosphorus removal rate curve, and then the phosphorus removal efficiency data are acquired according to the phosphorus removal rate curve.

[0104] Optionally, the biological phosphorus removal efficiency parameter is acquired.

[0105] Specifically, the total phosphorus, temperature, PH, COD and other indicators of the influent and effluent of the biological phosphorus removal unit of the existing sewage treatment plant are continuously monitored to calculate the average phosphorus removal efficiency of the biological phosphorus removal process. A biological phosphorus removal mathematical model is constructed based on the ASM activated sludge model, and after the model is verified using the continuous monitoring data, the biological phosphorus removal efficiency under the factors of PH, temperature, COD and influent total phosphorus concentration is calculated through model simulation.

[0106] wherein, COD is an indicator representing the organic matter content in sewage and affects the efficiency of the biological phosphorus removal process. The COD of general 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 biological phosphorus removal mathematical model equation includes the production and storage process of PHA, i.e. the PHA polyphosphorus process and the PHA polysaccharide process. The relevant kinetic parameters in the above processes are detected continuously, and the parameters are fitted and solved to obtain the verified model. Then, the indicators of PH, temperature, COD, influent total phosphorus and the like detected in different evaluation periods are input into the model, and the phosphorus removal efficiency in different periods is predicted using the model.

[0108] Optionally, the simultaneous biological and chemical phosphorus removal efficiency parameter is acquired through a simultaneous biological and chemical phosphorus removal experiment and parameter fitting.

[0109] Specifically, under laboratory simulation conditions, the simultaneous biological chemical phosphorus removal experiment is carried out under different temperatures, pH values and flocculating agent addition ratios, and the corresponding phosphorus removal efficiency data under different condition combinations are measured.

[0110] Among them, the laboratory simulation conditions are that the temperature is set to be between 10-30℃, the pH value is set to be between 6.5-8, and the flocculating agent addition ratio is set to be between 0-3.

[0111] S102, the phosphorus removal agent addition amount is calculated according to the phosphorus removal agent addition scheme.

[0112] In this embodiment, the phosphorus removal agent addition amount is calculated by the sewage plant phosphorus removal process intelligent regulation and control device according to the phosphorus removal agent addition scheme and the phosphorus removal agent addition scheme specific parameter data.

[0113] S103, the reduction index scheme is calculated according to the phosphorus removal agent addition amount, and the reduction index scheme is verified.

[0114] In this embodiment, the reduction index scheme is calculated by the sewage plant phosphorus removal process intelligent regulation and control device according to the phosphorus removal agent addition amount, and the weight of the reduction index is verified.

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

[0116] Among them, the multiple reduction indexes include: a drug consumption reduction index, a sludge production reduction index, a cost reduction index, a carbon emission reduction index and a stability index.

[0117] It should also be noted that the reduction index scheme is calculated according to the phosphorus removal agent addition amount, including:

[0118] Optionally, the drug consumption reduction index is calculated according to the phosphorus removal agent addition amount, specifically including:

[0119] D r = D-∑Q d,i C d

[0120] Among them, D r is the drug consumption reduction index, D is the present daily drug consumption, the unit is kilogram per day (kg / d), Q d,i is the target agent addition amount, C d is the phosphorus removal agent concentration, Q d,i C d is the actual drug consumption in a regulation period, ∑Q d,i C d is the sum of the actual drug consumption in all regulation periods in a day, that is, the actual drug consumption in a day.

[0121] Optionally, the sludge production reduction index is calculated according to the drug consumption reduction index, and specifically includes:

[0122] S r = a x D r

[0123] wherein S r is the sludge production reduction index, a is a sludge coefficient, if aluminum salt is used as coagulant, a is 1.53, and if iron salt is used as coagulant, a is 1.9.

[0124] Optionally, the cost reduction index is calculated according to the drug consumption reduction index and the sludge production reduction index, and specifically includes:

[0125] C r = D r x P d + S r x P s

[0126] wherein C r is the cost reduction index, P d is a unit reagent price, which is a market price, and the unit is yuan per kilogram (yuan / kg); P s is a unit sludge treatment price, which is a market price, and the unit is yuan per ton (yuan / t).

[0127] Optionally, the carbon emission reduction index is calculated according to the cost reduction index and the sludge production reduction index, and specifically includes:

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

[0129] wherein CE r is the carbon emission reduction index, EF d is a carbon emission factor of flocculating agent, and the unit is carbon dioxide emission per kilogram (kg CO2-eg / kg), and EF s is a carbon emission factor in the process of sludge treatment and disposal, and the unit is carbon dioxide emission per kilogram (kg CO2-eg / kg).

[0130] Optionally, the stability index is calculated, and specifically includes:

[0131]

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

[0133] In addition, the reduction targets also include cost recovery targets. The calculation of cost recovery targets specifically includes:

[0134]

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

[0136] This application provides an intelligent control method for phosphorus removal processes in wastewater treatment plants, comprising: determining a phosphorus removal agent dosing scheme from pre-stored basic data of the wastewater treatment plant; calculating the phosphorus removal agent dosage based on the dosing scheme; calculating a phosphorus reduction target scheme based on the phosphorus removal agent dosage; and verifying the phosphorus reduction target scheme. Compared to existing technologies where the dosage of phosphorus removal agents is mainly determined by manual experience, this method is not only labor-intensive but also prone to errors and lacks accuracy. Meanwhile, in order to achieve water quality standards for discharge, there is a common problem of excessive chemical dosage, resulting in excessively high costs. Existing technologies lack precise management of phosphorus removal chemical dosing and consumption control schemes, leading to low efficiency in the intelligent control of phosphorus removal processes in wastewater treatment plants. This application addresses this issue by developing a basic phosphorus removal chemical dosing scheme. By calculating the target flocculation efficiency within each control cycle and the corresponding phosphorus removal chemical dosing location, the amount of phosphorus removal chemical dosing is precisely calculated, ensuring accurate dosing of the flocculant. Furthermore, based on the phosphorus removal chemical dosing amount, multiple reduction index schemes are calculated, and the reduction indexes are weighted and verified, further achieving precise control of chemical dosing. This significantly saves costs in terms of labor and chemical consumption, thereby improving the intelligent control efficiency of phosphorus removal processes in wastewater treatment plants.

[0137] Figure 2 A flowchart illustrating an intelligent control method for phosphorus removal processes in wastewater treatment plants, provided in this application embodiment. Figure 2 ,exist Figure 1 Based on the embodiments, such as Figure 2 As shown, the phosphorus removal agent dosing scheme includes multiple control cycles, where the duration of each control cycle is the same. Therefore, the specific implementation steps of S102 above include:

[0138] S201. Calculate the target flocculation efficiency for each control cycle.

[0139] The calculation of the target flocculation efficiency for each control cycle specifically includes:

[0140]

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

[0142] S202, determine the phosphorus removal agent dosing position corresponding to each control period.

[0143] wherein, the phosphorus removal agent dosing position includes: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biological-chemical phosphorus removal.

[0144] Specifically, pre-chemical phosphorus removal refers to that the phosphorus removal agent is added before the biological phosphorus removal process stage and completes sedimentation and separation; synchronous biological-chemical phosphorus removal refers to that the phosphorus removal agent is added in the biological phosphorus removal process stage, and chemical phosphorus removal and biological phosphorus removal are carried out simultaneously; post-chemical phosphorus removal refers to that the phosphorus removal agent is added after the biological phosphorus removal stage. For the three phosphorus removal combination modes, different ways are needed to calculate the chemical phosphorus removal efficiency.

[0145] S203, calculate the respective phosphorus removal agent dosing amount in each control period according to the phosphorus removal agent dosing position.

[0146] In this embodiment, one day is divided into multiple control periods with the same length, different control periods correspond to different phosphorus removal agent dosing positions, and the phosphorus removal agent dosing amounts are also different. Based on different phosphorus removal agent dosing positions and different control periods, precise calculation is realized, further guaranteeing accurate dosing of flocculating agent, thereby improving the quality and efficiency of urban sewage collection system.

[0147] Figure 3 A sewage plant phosphorus removal process intelligent control method provided in the embodiment Figure 3 , in Figure 1 and Figure 2 the embodiment, as shown in Figure 3 , the target control period is any one of the multiple control periods, then the specific implementation steps of the above S203 include:

[0148] S301, calculate the agent dosing ratio in the target control period according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period.

[0149] wherein, the phosphorus removal agent dosing position includes: pre-chemical phosphorus removal, post-chemical phosphorus removal and synchronous biological-chemical phosphorus removal.

[0150] Specifically, the pre-chemical phosphorus removal refers to that the phosphorus removal agent is added before the biological phosphorus removal process and is separated by precipitation; the simultaneous biological and chemical phosphorus removal refers to that the phosphorus removal agent is added in the biological phosphorus removal process, and the chemical phosphorus removal and the biological phosphorus removal are performed simultaneously; the post-chemical phosphorus removal refers to that the phosphorus removal agent is added after the biological phosphorus removal process. For the three phosphorus removal combination modes, different ways need to be used to calculate the chemical phosphorus removal efficiency.

[0151] Optionally, when the phosphorus removal agent addition position is the pre-chemical phosphorus removal, the agent addition ratio in the target control period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency in the target control period, and specifically includes the following steps.

[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] Wherein, E i is the target flocculation efficiency, E c is the chemical flocculation phosphorus removal efficiency, E b1 is the biological phosphorus removal efficiency, r is the flocculation agent influent total phosphorus ratio, T is the temperature, PH is the solution pH, Vss is the activated sludge concentration, C p,out is the phosphorus removal agent addition unit effluent total phosphorus concentration, C COD,out is the phosphorus removal agent addition unit effluent COD concentration, and F is a calculation model, which is determined according to the actual situation.

[0156] Optionally, when the phosphorus removal agent addition position is the post-chemical phosphorus removal, the agent addition ratio in the target control period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency in the target control period, and specifically includes the following steps.

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

[0158] More optionally, when the phosphorus removal agent addition position is the simultaneous biological and chemical phosphorus removal, the agent addition ratio in the target control period is calculated according to the phosphorus removal agent addition position and the target flocculation efficiency in the target control period, and specifically includes the following steps.

[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] wherein, E b2 is biological phosphorus removal efficiency, C p,in is total phosphorus concentration of influent of phosphorus removal agent dosing unit, C COD,in is COD concentration of influent of phosphorus removal agent dosing unit.

[0163] S302、According to the agent dosing ratio, the phosphorus removal agent dosing amount in the target control period is calculated.

[0164] According to the agent dosing ratio, the phosphorus removal agent dosing amount in the target control period is calculated, specifically including:

[0165]

[0166] wherein, r i is the agent dosing ratio, Q d,i is the phosphorus removal agent dosing amount in the target control period, C d is the phosphorus removal agent concentration, Q in,i is the influent flow, C P,in,i is the total phosphorus concentration of influent.

[0167] In this embodiment, based on different phosphorus removal processes corresponding to one control period, different formulas are used to calculate the target agent dosing amount of the control period by using the target flocculation efficiency, so as to realize accurate calculation of the phosphorus removal agent dosing amount, further ensure accurate dosing of flocculating agent, and thus improve the quality and efficiency of urban sewage collection system.

[0168] Figure 4 A process schematic of a sewage plant phosphorus removal process intelligent control method provided in the embodiment Figure 4 , in Figure 1 , Figure 2 and Figure 3 the embodiments, as shown in Figure 4 , the specific implementation steps of the above S103 include:

[0169] S401, calculate the weight corresponding to each reduction index by analytic hierarchy process.

[0170] First, according to a plurality of reduction indexes, a hierarchical structure model is established, and a judgment matrix of the hierarchical structure model is constructed according to the scale.

[0171] Second, the characteristic equation is solved according to the judgment matrix, and the maximum eigenvalue λmax and the eigenvalue x corresponding to the characteristic equation.

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

[0173] Finally, after obtaining the weight corresponding to each reduction index, the consistency of the judgment matrix A is checked to determine the rationality of the weight distribution.

[0174] S402, weighting calculation is performed on each reduction index to obtain the comprehensive benefit score of the reduction index scheme.

[0175] The comprehensive benefit score of the reduction index scheme is calculated, specifically including:

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

[0177] Wherein, 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 passed.

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

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

[0181] In this embodiment, based on the accurate calculation of the dosing amount of phosphorus removal agent, an accurate and appropriate reduction index scheme can be obtained, and whether the reduction index scheme can bring beneficial effects is checked by weight, thereby avoiding the problem of excessive dosing of agent, greatly saving the cost from labor and drug consumption, and further improving the intelligent control efficiency of the phosphorus removal process of the sewage plant.

[0182] The embodiments of the present application can divide the function modules of the electronic device or the host device according to the above method examples, for example, each function module can be divided according to each function, or two or more functions can be integrated in one processing unit. The integrated unit can be realized in the form of hardware or in the form of a software function module. It should be noted that the division of the modules in the embodiments of the present application is illustrative, and is only a logical function division, and another division mode can be used in actual implementation.

[0183] Figure 5 A structure diagram of a sewage plant phosphorus removal process intelligent control device provided by an embodiment of the present application is shown in FIG. 1, which includes a data acquisition device 51, a data processing device 52, and a data verification device 53. Figure 5

[0184] The data acquisition device 51 is configured to determine a phosphorus removal agent dosing scheme from pre-stored sewage plant basic data.

[0185] The data processing device 52 is configured to calculate a phosphorus removal agent dosing amount according to the phosphorus removal agent dosing scheme.

[0186] The data verification device 53 is configured to calculate a reduction index scheme according to the phosphorus removal agent dosing amount and verify the reduction index scheme.

[0187] In a possible design, the phosphorus removal agent dosing scheme includes a plurality of control periods, and the time length of each control period is the same as that of another control period.

[0188] According to the phosphorus removal agent dosing scheme, the data processing device 52 is further configured to:

[0189] calculate a respective target flocculation efficiency in each control period;

[0190] determine a respective phosphorus removal agent dosing position in each control period;

[0191] calculate a respective phosphorus removal agent dosing amount in each control period according to the phosphorus removal agent dosing position.

[0192] In a possible design, the target control period is any one of the plurality of control periods.

[0193] According to the phosphorus removal agent dosing position, the data processing device 52 is further configured to:

[0194] calculate a respective phosphorus removal agent dosing amount in each control period according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period.

[0195] ​According to the dosage ratio, the dosage of the phosphorus removal agent in the target control period is calculated.

[0196] In a possible design, the phosphorus removal agent dosing position includes: pre-chemical phosphorus removal, post-chemical phosphorus removal, and simultaneous biological and chemical phosphorus removal.

[0197] The data processing device 52 is further configured to:

[0198] When the phosphorus removal agent dosing position is pre-chemical phosphorus removal, according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period, the dosage ratio in the target control period is calculated, 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] Wherein, E i is the target flocculation efficiency, E c is the chemical flocculation phosphorus removal efficiency, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of flocculating agent influent, T is the temperature, PH is the solution pH, Vss is the activated sludge concentration, C p,out is the total phosphorus concentration of the phosphorus removal agent dosing unit effluent, C COD,out is the COD concentration of the phosphorus removal agent dosing unit effluent.

[0203] When the phosphorus removal agent dosing position is post-chemical phosphorus removal, according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period, the dosage ratio in the target control period is calculated, specifically including:

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

[0205] When the phosphorus removal agent dosing position is simultaneous biological and chemical phosphorus removal, according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period, the dosage ratio in the target control period is calculated, 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] wherein E b2 is biological phosphorus removal efficiency, C p,in is influent total phosphorus concentration of the phosphorus removal agent dosing unit, C COD,in is influent COD concentration of the phosphorus removal agent dosing unit.

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

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

[0212]

[0213] wherein C P,S is average influent total phosphorus concentration in the target control period, k is an intelligent control effluent water quality guarantee coefficient, k is a positive number greater than one, C i is effluent total phosphorus emission standard limit value, is an expected value of the current effluent total phosphorus fluctuation range;

[0214] According to the agent dosing ratio, the phosphorus removal agent dosing amount in the target control period is calculated, specifically including:

[0215]

[0216] wherein r d,i is the agent dosing ratio, Q d is the phosphorus removal agent dosing amount in the target control period, C in,i is the phosphorus removal agent concentration, Q P,in,i is influent flow, C r is influent total phosphorus concentration.

[0217] In a possible design, the reduction index scheme includes a plurality of reduction indexes;

[0218] The plurality of reduction indexes include: a reagent consumption reduction index, a sludge production reduction index, a cost reduction index, a carbon emission reduction index, and a stability index;

[0219] The data verification apparatus 53 is further configured to:

[0220] The reduction index scheme is calculated according to the phosphorus removal agent dosing amount, including:

[0221] The reagent consumption reduction index is calculated according to the phosphorus removal agent dosing amount, specifically including:

[0222] D r = D - ∑Q d,i C d

[0223] wherein, D r is the drug consumption reduction index, D is the current daily drug consumption;

[0224] The sludge production reduction index is calculated according to the drug consumption reduction index, specifically including:

[0225] S r = a x D r

[0226] wherein, S r is the sludge production reduction index, a is the sludge production coefficient;

[0227] The cost reduction index is calculated according to the drug consumption reduction index and the sludge production reduction index, specifically including:

[0228] C r = D r x P d + S r x P s

[0229] wherein, C r is the cost reduction index, P d is the unit price of the drug; P s is the unit price of sludge treatment;

[0230] The carbon emission reduction index is calculated according to the cost reduction index and the sludge production reduction index, specifically including:

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

[0232] wherein, CE r is the carbon emission reduction index, EF d is the carbon emission factor of the flocculating agent, EF s is the carbon emission factor in the process of sludge treatment and disposal;

[0233] The stability index is calculated, specifically including:

[0234]

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

[0236] In a possible design, the data checking apparatus 53 is further configured to:

[0237] The weight corresponding to each reduction index is calculated by using the analytic hierarchy process;

[0238] The comprehensive benefit score of the reduction index scheme is obtained by performing weighted calculation on each reduction index;

[0239] When the comprehensive benefit score is greater than the score threshold, the checking result is output as a checking pass.

[0240] The sewage plant phosphorus removal process intelligent regulation and control device provided in this embodiment can execute the sewage plant phosphorus removal process intelligent regulation and control method in the above embodiment, and has similar implementation principles and technical effects, which will not be described here again in this embodiment.

[0241] In the specific implementation of the sewage plant phosphorus removal process intelligent regulation and control method, 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 sewage plant phosphorus removal process intelligent regulation and control method.

[0242] Figure 6 A structural schematic diagram of an electronic device apparatus provided in the present application is provided. Referring to Figure 6 The electronic device 60 includes at least one processor 61 and a memory 62. The electronic device 60 further includes a communication component 63. The processor 61, the memory 62, and the communication component 63 are connected through a bus 64.

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

[0244] The specific implementation process of the processor 61 can refer to the method embodiments described above, and has similar implementation principles and technical effects, which will not be described here again in this embodiment.

[0245] In the above embodiments, it should be understood that the processor can be a central processing unit (English: Central Processing Unit, CPU for short), and can also be other general-purpose processors, digital signal processors (English: Digital Signal Processor, DSP for short), application specific integrated circuits (English: Application Specific Integrated Circuit, ASIC for short), etc. The general-purpose processor can be a microprocessor, or the processor can also be any conventional processor, etc. The steps of the method disclosed in the application can be directly embodied as execution completed by a hardware processor, or executed by a combination of hardware and software modules in the processor.

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

[0247] The second bus can be an Industry Standard Architecture (ISA) bus, a PeriPHeral Component (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, the bus in the drawings of the present application does not limit to only one bus or one type of bus.

[0248] The functions realized by the electronic device and the master device described above are introduced for the scheme provided by the embodiments of the present application. It can be understood that the electronic device or the master device contains the hardware structure and / or software module corresponding to the execution of each function in order to realize the above functions. The units and algorithm steps of each example described in combination with the embodiments disclosed in the embodiments of the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is realized by 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 realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the technical solution of the embodiments of the present application.

[0249] The present application also provides a computer readable storage medium, the computer readable storage medium stores computer execution instructions, when the processor executes the computer execution instructions, the computer execution instructions are used to realize the above-mentioned sewage plant phosphorus removal process intelligent regulation and control method.

[0250] The above-mentioned readable storage medium can be realized by any type of volatile or non-volatile storage device or their combination, 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 storage, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0251] An example readable storage medium is coupled to the processor such 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 part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in an electronic device or host device.

[0252] The present application also provides a computer program product, which comprises a computer program 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 the at least one processor executes the computer program to enable the electronic device to perform the scheme provided in any of the above embodiments.

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

[0254] So far, the technical scheme of the present application has been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily 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 scheme of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical scheme recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical scheme deviate from the scope of the technical scheme of the embodiments of the present application.

Claims

1. An intelligent control method for phosphorus removal process in sewage plant, characterized in that, The method comprises: determining a phosphorus removal agent dosing scheme from pre-stored sewage plant basic data; calculating a phosphorus removal agent dosage according to the phosphorus removal agent dosing scheme; calculating a reduction index scheme according to the phosphorus removal agent dosage, and verifying the reduction index scheme; The phosphorus removal agent dosing scheme comprises a plurality of control periods, and a target control period is any one of the plurality of control periods. Accordingly, the calculating of the phosphorus removal agent dosage according to the phosphorus removal agent dosing scheme comprises: calculating a target flocculation efficiency in each control period; judging a phosphorus removal agent dosing position corresponding to each control period; calculating a phosphorus removal agent dosage in each control period according to the phosphorus removal agent dosing position; In the target control period, the calculation of the target flocculation efficiency in each control period comprises: wherein, is the average total phosphorus concentration of the incoming water in the target regulation period, k is the intelligent regulation effluent water quality guarantee coefficient, k is a positive number greater than one, C P,S is the effluent total phosphorus emission standard limit value, is the expected value of the current effluent total phosphorus fluctuation range; calculating a phosphorus removal agent dosage in the target control period according to the agent dosing ratio, specifically comprising: wherein r i is the dosage ratio of the agent, Q d,i is the dosage of the phosphorus removal agent in the target control period, C d is the phosphorus removal agent concentration, Q in,i is the influent flow rate, C P,in,i is the influent total phosphorus concentration; The reduction index scheme comprises a plurality of reduction indexes. The plurality of reduction indexes comprise: a drug consumption reduction index, a sludge production reduction index, a cost reduction index, a carbon emission reduction index, and a stability index. The calculating of the reduction index scheme according to the phosphorus removal agent dosage comprises: calculating the drug consumption reduction index according to the phosphorus removal agent dosage, specifically comprising: D r = D - ∑Q d,i C d wherein D r is the drug consumption reduction index, D is the current daily drug consumption; calculating the sludge production reduction index according to the drug consumption reduction index, specifically comprising: S r = a x D r wherein S r is the sludge production reduction index, a is the sludge production coefficient; calculating the cost reduction index according to the drug consumption reduction index and the sludge production reduction index, specifically comprising: C r = D r x P d + S r x P s wherein C r is the cost reduction index, P d is the unit drug price; P s is the unit sludge treatment price; calculating the carbon emission reduction index according to the cost reduction index and the sludge production reduction index, specifically comprising: CE r = EF d C r + EF s S r wherein CE r is the carbon emission reduction indicator, EF d is the carbon emission factor of the flocculating agent, EF s is the carbon emission factor in the sludge treatment and disposal process; calculating the stability index, specifically comprising: wherein C p,eff,j is the instantaneous monitoring value of total phosphorus in effluent, is the average value of total phosphorus in effluent; The verification of the reduction index scheme comprises: calculating a weight corresponding to each reduction index by an analytic hierarchy process; weighting each reduction index to obtain a comprehensive benefit score of the reduction index scheme; when the comprehensive benefit score is greater than a score threshold, outputting a verification result as a verification pass.

2. The method of claim 1, wherein, The calculating of the phosphorus removal agent dosage in each control period according to the phosphorus removal agent dosing position comprises: calculating the agent dosing ratio in the target control period according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period; calculating the phosphorus removal agent dosage in the target control period according to the agent dosing ratio.

3. The method of claim 2, wherein, The phosphorus removal agent dosing position comprises: pre-chemical phosphorus removal, post-chemical phosphorus removal, and synchronous biological-chemical phosphorus removal; When the phosphorus removal agent dosing position is the pre-chemical phosphorus removal, the calculating of the agent dosing ratio in the target control period according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period comprises: E i = E c + E b E c = F(r, T, PH) E b1 = F(T, PH, Vss, C p,out , C COD,out ) wherein, E i is the target flocculation efficiency, E c is the chemical flocculation phosphorus removal efficiency, E b1 is the biological phosphorus removal efficiency, r is the total phosphorus ratio of flocculant water, T is the temperature, PH is the solution pH, Vss is the activated sludge concentration, C p,out is the total phosphorus concentration of the effluent of the phosphorus removal agent dosing unit, C COD,out is the COD concentration of the effluent of the phosphorus removal agent dosing unit; When the phosphorus removal agent dosing position is the post-chemical phosphorus removal, the calculating of the agent dosing ratio in the target control period according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target control period comprises: E i = E c = F(r, T, PH) When the phosphorus removal agent dosing position is the synchronous biological chemical phosphorus removal, the agent dosing ratio in the target regulation period is calculated according to the phosphorus removal agent dosing position and the target flocculation efficiency in the target regulation period, and specifically comprises: E i = E c + E b E c = F(r, T, PH) E b2 = F(T, PH, Vss, C p,in , C COD,in ) Wherein, E b2 is biological phosphorus removal efficiency, C p,in is the total phosphorus concentration of influent of the phosphorus removal agent dosing unit, C COD,in is the COD concentration of influent of the phosphorus removal agent dosing unit.

4. A device for intelligent regulation and control of phosphorus removal process in sewage plant, characterized in that, It comprises: Data acquisition device, data processing device and data verification device; The data acquisition device is used to determine the phosphorus removal agent dosing scheme from the pre-stored sewage plant basic data; The data processing device is used to calculate the phosphorus removal agent dosing amount according to the phosphorus removal agent dosing scheme; The data verification device is used to calculate the reduction index scheme according to the phosphorus removal agent dosing amount and verify the reduction index scheme; The phosphorus removal agent dosing scheme includes multiple regulation periods, and the target regulation period is any one of the multiple regulation periods; Correspondingly, the data processing device is specifically used for: Calculating the target flocculation efficiency in each regulation period; Judging the corresponding phosphorus removal agent dosing position of each regulation period; According to the phosphorus removal agent dosing position, the phosphorus removal agent dosing amount in each regulation period is calculated; In the target regulation period, the data processing device is specifically used for: wherein, is the average total phosphorus concentration of the incoming water in the target regulation period, k is the intelligent regulation effluent water quality guarantee coefficient, k is a positive number greater than one, C P,S is the effluent total phosphorus emission standard limit value, is the desired value of the current effluent total phosphorus fluctuation range; According to the agent dosing ratio, the data processing device is specifically used for: wherein r i is the dosage ratio of the agent, Q d,i is the dosage of the phosphorus removal agent in the target control period, C d is the phosphorus removal agent concentration, Q in,i is the influent flow rate, C P,in,i is the influent total phosphorus concentration; The reduction index scheme includes multiple reduction indexes; The multiple reduction indexes include: drug consumption reduction index, sludge production reduction index, cost reduction index, carbon emission reduction index and stability index; The data verification device is specifically used for: According to the phosphorus removal agent dosing amount, the drug consumption reduction index is calculated, specifically including: D r = D - ∑Q d,i C d wherein D r is the drug consumption reduction index, D is the current daily drug consumption; According to the drug consumption reduction index, the sludge production reduction index is calculated, specifically including: S r = a x D r wherein S r is the sludge production reduction index, a is the sludge production coefficient; According to the drug consumption reduction index and the sludge production reduction index, the cost reduction index is calculated, specifically including: C r = D r x P d + S r x P s wherein C r is the cost reduction index, P d is the unit drug price; P s is the unit sludge treatment price; According to the cost reduction index and the sludge production reduction index, the carbon emission reduction index is calculated, specifically including: CE r = EF d C r + EF s S r wherein CE r is the carbon emission reduction index, EF d is the carbon emission factor of the flocculating agent, EF s is the carbon emission factor in the sludge treatment and disposal process; The stability index is calculated, specifically including: wherein C p,eff,j is the instantaneous monitoring value of total phosphorus in effluent, is the average value of total phosphorus in effluent; The data verification device is specifically used for: The weight of each reduction index is calculated by the analytic hierarchy process; Each reduction index is weighted to obtain the comprehensive benefit score of the reduction index scheme; When the comprehensive benefit score is greater than the score threshold, the verification result is verified.

5. An electronic device, comprising: It comprises: A processor and a memory in communication with the processor; The memory stores computer execution instructions; When the processor executes the computer execution instructions stored in the memory, it is used to realize the sewage plant phosphorus removal process intelligent regulation method in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to realize the sewage plant phosphorus removal process intelligent regulation method in any one of claims 1 to 3.

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