Sewage treatment system based on PLC control

Abstract

The invention provides a sewage treatment system and method based on PLC control, and relates to the field of sewage treatment. The system comprises a PLC (Programmable Logic Controller), a data acquisition module and a data processing module, the data acquisition module is used for acquiring detection data of each sewage treatment tank in the sewage treatment device, and the detection data comprises regulation tank detection data, hydrolysis detection data, anaerobic detection data, oxidation detection data, sedimentation tank detection data, sludge concentration detection data and disinfection detection data; the data processing module is used for analyzing the detection data to obtain regulation and control data, and the regulation and control data comprises regulating tank regulation and control data, hydrolysis regulation and control data, anaerobic regulation and control data, oxidation regulation and control data, sedimentation tank regulation and control data, sludge concentration regulation and control data and disinfection regulation and control data; and the PLC is used for generating a control signal according to the regulation and control data. The water treatment effect is improved through the system.

Description

Technical Field

[0001] The present application relates to the field of sewage treatment, and in particular to a sewage treatment system based on PLC control. Background Art

[0002] Wastewater treatment is one of the important infrastructures for the sustainable development of modern cities. Traditional sewage treatment systems usually include regulating tanks, hydrolysis and acidification tanks, anaerobic tanks, aerobic tanks, secondary sedimentation tanks, sludge treatment systems and disinfection tanks. Each treatment unit is connected in sequence through pipelines and pump stations to achieve the degradation and removal of organic matter, nitrogen and phosphorus and other pollutants in sewage. However, most traditional sewage treatment systems adopt a timing and quantitative control mode, that is, according to the designed water volume and influent water quality, the operating parameters of each treatment unit, such as hydraulic retention time, sludge return ratio, aeration volume, etc., are set, and adjusted regularly according to the preset schedule. This control mode is difficult to adapt to the dynamic fluctuations of influent water quality and water volume, resulting in unstable treatment effects. Summary of the invention

[0003] The present application provides a sewage treatment system based on PLC control to improve the water treatment effect.

[0004] In a first aspect, the present application provides a sewage treatment system based on PLC control, the system comprising: a PLC controller, a data acquisition module and a data processing module; The data collection module is used to collect the test data of each sewage treatment tank in the sewage treatment device, and the test data includes: regulating tank test data, hydrolysis test data, anaerobic test data, oxidation test data, sedimentation tank test data, sludge concentration test data and disinfection test data; A data processing module is used to analyze the detection data to obtain control data, which includes: regulating tank control data, hydrolysis control data, anaerobic control data, oxidation control data, sedimentation tank control data, sludge concentration control data and disinfection control data; The PLC controller is used to generate control signals according to the control data.

[0005] In the above technical solution, the data acquisition module collects the key parameters of each sewage treatment tank to form comprehensive detection data, including regulating tank detection data, hydrolysis detection data, anaerobic detection data, oxidation detection data, sedimentation tank detection data, sludge concentration detection data and disinfection detection data. These data reflect the real-time operating status of each link of sewage treatment and provide a reliable basis for subsequent data analysis and control decisions. Secondly, the data processing module analyzes and calculates the collected detection data to obtain the control data for each treatment unit, including regulating tank control data, hydrolysis control data, anaerobic control data, oxidation control data, sedimentation tank control data, sludge concentration control data and disinfection control data. These control data are obtained through optimization algorithms based on the process characteristics and operation requirements of each treatment link, which can guide the dynamic adjustment of each unit and realize real-time optimization control of the sewage treatment process.

[0006] Finally, the PLC controller generates corresponding control instructions based on the control data output by the data processing module, and sends them to various actuators, such as pumps, valves, fans, etc., to achieve precise adjustment of each processing unit. Through the centralized coordination of the PLC controller, each processing link can work together efficiently to ensure the stable operation of the sewage treatment system.

[0007] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The data acquisition module of this application collects key parameters of each sewage treatment pool to form comprehensive test data, including regulating tank test data, hydrolysis test data, anaerobic test data, oxidation test data, sedimentation tank test data, sludge concentration test data and disinfection test data. These data reflect the real-time operating status of each link of sewage treatment and provide a reliable basis for subsequent data analysis and control decisions.

[0008] 2. The data processing module of this application analyzes and calculates the collected detection data to obtain the control data for each treatment unit, including the control data of the regulating tank, the hydrolysis control data, the anaerobic control data, the oxidation control data, the sedimentation tank control data, the sludge concentration control data and the disinfection control data. These control data are obtained through optimization algorithms based on the process characteristics and operation requirements of each treatment link, and can guide the dynamic adjustment of each unit to achieve real-time optimization control of the sewage treatment process.

[0009] 3. The PLC controller of this application generates corresponding control instructions based on the control data output by the data processing module, and sends them to various actuators, such as pumps, valves, fans, etc., to achieve precise adjustment of each processing unit. Through the centralized coordination of the PLC controller, each processing link can work together efficiently to ensure the stable operation of the sewage treatment system. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 An architecture diagram of a sewage treatment system based on PLC control provided in an embodiment of the present application; Figure 2 An architectural diagram of a data acquisition module provided for this application; Figure 3 An architectural diagram of a data processing module provided in an embodiment of the present application; Figure 4 A PLC-controlled sewage treatment device is provided in an embodiment of the present application. DETAILED DESCRIPTION

[0011] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0012] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0013] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0014] In order to facilitate understanding of the method and system provided by the embodiments of the present application, before introducing the embodiments of the present application, the background of the embodiments of the present application is first introduced.

[0015] As an important infrastructure for the sustainable development of modern cities, sewage treatment plays a vital role in maintaining public health and protecting the water environment. A typical sewage treatment system usually consists of multiple functional units, including regulating tanks, hydrolysis acidification tanks, anaerobic tanks, aerobic tanks, secondary sedimentation tanks, sludge treatment systems, and disinfection tanks. These units are connected in sequence according to the process flow of sewage treatment, forming an organic whole through pipelines and pumping stations, and jointly completing the task of degrading and removing pollutants such as organic matter, nitrogen and phosphorus in sewage. However, there are still some shortcomings in the operation control of traditional sewage treatment systems. Most systems adopt a timing and quantitative control mode, that is, in the design stage, according to the estimated influent water quality and design water volume, the operating parameters of each treatment unit, such as hydraulic retention time, sludge return ratio, aeration volume, etc., are pre-set, and the parameters are adjusted regularly according to a fixed schedule. This control mode has certain limitations and is difficult to adapt to the dynamic fluctuations of actual influent water quality and water volume.

[0016] In actual operation, the water quality and quantity of urban sewage are often affected by many factors, such as seasonal changes, rain impact, and illegal discharge of industrial wastewater, which lead to frequent fluctuations in the water inlet conditions. The timing and quantitative control mode has limited response capabilities to these changes and cannot adjust the operating status of each treatment unit in time to adapt to changes in water quality and quantity. This leads to unstable sewage treatment effects. On the one hand, insufficient treatment may occur, and the effluent quality may not meet the discharge standards; on the other hand, over-treatment may occur, resulting in waste of chemicals and energy.

[0017] After the background introduction of the above content, those skilled in the art can understand the problems existing in the prior art. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0018] Based on the above background technology, please refer to Figure 1 and Figure 4 , Figure 1 The present invention provides a PLC-controlled sewage treatment system architecture diagram. Figure 4 A PLC-controlled sewage treatment device provided in an embodiment of the present application can be implemented by a computer program or can be run as an independent tool application. Specifically, in an embodiment of the present application, the system can be applied on a server, but can also be applied on electronic devices such as a server. The system includes: a PLC controller 1, a data acquisition module 2, and a data processing module 3; Data collection module 2, used to collect detection data of each sewage treatment tank in the sewage treatment device, the detection data includes: regulating tank detection data, hydrolysis detection data, anaerobic detection data, oxidation detection data, sedimentation tank detection data, sludge concentration detection data and disinfection detection data; Specifically, the data acquisition module 2 plays a vital role in undertaking the task of comprehensive monitoring of the entire sewage treatment plant. Specifically, the data acquisition module 2 deploys sensors and instruments in each sewage treatment tank to collect key operating parameters of each treatment link in real time to form a complete detection data set.

[0019] These test data include regulating tank test data, hydrolysis test data, anaerobic test data, oxidation test data, sedimentation tank test data, sludge concentration test data and disinfection test data. Each type of test data corresponds to a specific sewage treatment unit and reflects the real-time operating status of the unit. For example, regulating tank test data may include indicators such as influent flow, pH value, COD concentration; hydrolysis test data may include indicators such as temperature, pH, volatile fatty acid concentration; oxidation test data may include indicators such as dissolved oxygen concentration, ammonia nitrogen concentration, nitrification rate, etc.

[0020] The data acquisition module 2 uses high-precision and high-reliability online monitoring instruments, and optimizes the selection and layout of sensors according to the process characteristics and monitoring requirements of each processing unit. At the same time, the data acquisition module 2 is also equipped with a complete data preprocessing and transmission function, which can filter, denoise, standardize and preprocess the collected raw data, and upload the processed detection data to the data processing module in real time through a wired or wireless communication network.

[0021] Comprehensive, accurate and real-time detection data is the basis for realizing intelligent sewage treatment control. Through the operation of data acquisition module 2, the sewage treatment system can establish a complete data monitoring system, which provides a reliable basis for subsequent data analysis, process optimization and control decision-making. Based on real-time detection data, the system can promptly detect abnormal conditions of each treatment unit, such as equipment failure, process parameter exceeding the standard, etc., and ensure the stability and safety of the sewage treatment process through alarm, automatic adjustment and other means.

[0022] Based on the above embodiment, as an optional embodiment, please refer to Figure 2 , the data acquisition module 2 includes: a regulating tank detection unit 21, a hydrolysis tank detection unit 22, an anaerobic tank detection unit 23, an aerobic tank detection unit 24, a secondary sedimentation tank detection unit 25, a sludge concentration tank detection unit 26 and a disinfection tank detection unit 27; A regulating pool detection unit 21, used to monitor regulating pool detection data of the regulating pool; Specifically, the data acquisition module 2 is composed of a plurality of specialized detection units, including a regulating tank detection unit 21, a hydrolysis tank detection unit 22, an anaerobic tank detection unit 23, an aerobic tank detection unit 24, a secondary sedimentation tank detection unit 25, a sludge concentration tank detection unit 26, and a disinfection tank detection unit 27. This distributed detection unit design can conduct a comprehensive and detailed monitoring of each link of sewage treatment, obtain complete and accurate detection data, and provide reliable data support for subsequent data analysis and control optimization.

[0023] Among them, the regulating tank detection unit 21 is specifically responsible for monitoring the operating status of the regulating tank and collecting the regulating tank detection data. The regulating tank is the front-end buffer and pretreatment unit of the sewage treatment system. Its main function is to balance the water volume and water quality and create good conditions for subsequent biochemical treatment. The operating status of the regulating tank directly affects the efficiency and stability of the entire sewage treatment system, so it needs to be monitored intensively.

[0024] The regulating tank detection unit 21 uses a multi-parameter online monitoring instrument to collect key indicators of the regulating tank in real time. These indicators usually include inlet flow, water level, pH value, COD concentration, ammonia nitrogen concentration, etc. Among them, the monitoring of inlet flow and water level uses ultrasonic flowmeters and liquid level meters to achieve continuous measurement of the inlet and outlet flow of the regulating tank and the water level in the tank; the monitoring of pH value uses an industrial pH meter to track the changes in the pH of the regulating tank in real time; the monitoring of COD concentration and ammonia nitrogen concentration uses online COD analyzers and ammonia nitrogen analyzers to continuously measure the organic matter and ammonia nitrogen load of the regulating tank inlet water.

[0025] The regulating pool detection unit 21 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed regulating pool detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0026] The application of the regulating tank detection unit 21 provides an important data basis for the intelligent control of the sewage treatment system. Through real-time monitoring of the operating parameters of the regulating tank, abnormal fluctuations in the influent water volume and water quality can be discovered in time, and the operating strategies of the subsequent treatment units can be adjusted in advance according to the data analysis results, such as adjusting the dosage of the reagents, optimizing the pump and valve control, etc., thereby improving the system's ability to resist shock loads and ensuring the stability of the treatment effect.

[0027] A hydrolysis tank detection unit 22, used to monitor the hydrolysis detection data of the hydrolysis acidification process; Specifically, the hydrolysis tank detection unit 22 uses a multi-parameter online monitoring instrument to collect key indicators of the hydrolysis acidification process in real time. These indicators usually include pH value, temperature, volatile fatty acid (VFA) concentration, alkalinity, etc. Among them, the pH value is monitored using an industrial pH meter to track the pH changes of the hydrolysis tank in real time to ensure that the pH value is maintained within the optimal growth range of the hydrolysis bacteria; the temperature is monitored using a temperature sensor to continuously measure the temperature changes of the hydrolysis tank to ensure that the hydrolysis process is carried out under the most suitable temperature conditions; the VFA concentration is monitored using an online VFA analyzer to continuously measure the low molecular weight organic acid content in the hydrolysis product to evaluate the effect of hydrolysis acidification; the alkalinity is monitored using an online alkalinity meter to measure the buffering capacity of the hydrolyzate to provide a basis for pH control.

[0028] The hydrolysis tank detection unit 22 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed hydrolysis detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0029] The application of the hydrolysis tank detection unit 22 provides important data support for the intelligent control of the sewage treatment system. Through real-time monitoring of the hydrolysis acidification process, abnormal fluctuations in the hydrolysis efficiency can be discovered in time, and according to the data analysis results, the operating parameters of the hydrolysis tank can be adjusted in time, such as pH value adjustment, temperature control, feed method optimization, etc., to ensure the stability and efficiency of the hydrolysis process. At the same time, the hydrolysis detection data can also be used to evaluate the biodegradability of the influent and provide a decision-making basis for optimizing the sewage treatment process.

[0030] The anaerobic tank detection unit 23 is used to monitor the anaerobic detection data of the anaerobic fermentation process; Specifically, the anaerobic tank detection unit 23 uses a multi-parameter online monitoring instrument to collect key indicators of the anaerobic fermentation process in real time. These indicators usually include pH value, redox potential (ORP), volatile fatty acid (VFA) concentration, alkalinity, biogas production and methane content. Among them, the monitoring of pH value and ORP uses an industrial pH meter and ORP electrode respectively to track the pH and redox state of the anaerobic fermentation process in real time to ensure that the anaerobic bacteria are in the best growth environment; the monitoring of VFA concentration and alkalinity uses an online VFA analyzer and alkalinity meter to continuously measure the substrate concentration and buffering capacity of the anaerobic digestate to evaluate the progress and stability of anaerobic fermentation; the monitoring of biogas production and methane content uses a gas flow meter and a methane sensor to continuously measure the amount and quality of biogas produced by anaerobic fermentation to evaluate the effect of anaerobic treatment and energy recovery potential.

[0031] The anaerobic tank detection unit 23 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed anaerobic detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0032] The application of the anaerobic tank detection unit 23 provides important data support for the intelligent control of the sewage treatment system. Through real-time monitoring of the anaerobic fermentation process, it is possible to promptly detect abnormal operation of the anaerobic reactor, such as pH imbalance, VFA accumulation, and decreased biogas production, and take corresponding control measures in a timely manner based on the data analysis results, such as alkalinity adjustment, feed optimization, temperature control, etc., to ensure the stability and efficiency of the anaerobic fermentation process. At the same time, anaerobic detection data can also be used to evaluate the anaerobic degradability and biogas production capacity of the influent, providing a decision-making basis for optimizing sewage treatment and energy recovery solutions.

[0033] an aerobic tank detection unit 24, for monitoring oxidation detection data of an aerobic biochemical process; Specifically, the aerobic tank detection unit 24 uses a multi-parameter online monitoring instrument to collect key indicators of the aerobic biochemical process in real time. These indicators usually include dissolved oxygen (DO) concentration, ammonia nitrogen concentration, nitrate concentration, pH value, mixed liquor suspended solids (MLSS) concentration, etc. Among them, the monitoring of DO concentration uses an optical or electrochemical DO sensor to continuously measure the dissolved oxygen level in the aerobic tank to ensure that the oxygen demand of aerobic microorganisms is met; the monitoring of ammonia nitrogen concentration and nitrate concentration uses ammonia nitrogen and nitrate online analyzers respectively to track the nitrification removal effect of aerobic reactions on ammonia nitrogen in real time; the monitoring of pH value uses an industrial pH meter to monitor the changes in the pH value of the aerobic tank to ensure the best growth environment for nitrifying bacteria; the monitoring of MLSS concentration uses an online suspended matter analyzer or optical density meter to continuously measure the activated sludge concentration in the aerobic tank and evaluate the sludge age and residual sludge volume.

[0034] The aerobic pool detection unit 24 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed oxidation detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0035] The application of the aerobic tank detection unit 24 provides important data support for the intelligent control of the sewage treatment system. Through real-time monitoring of the aerobic biochemical process, abnormal fluctuations in the aerobic reaction, such as insufficient DO, decreased nitrification efficiency, and pH imbalance, can be discovered in a timely manner. According to the data analysis results, corresponding control measures can be taken in a timely manner, such as adjusting the air volume, optimizing the water inlet method, adding alkalinity, etc., to ensure the stability and efficiency of the aerobic biochemical process. At the same time, the oxidation detection data can also be used to evaluate the biodegradability and nitrification denitrification potential of sewage, providing a decision-making basis for optimizing sewage treatment processes and operating parameters.

[0036] Secondary sedimentation tank detection unit 25, used to monitor sedimentation tank detection data of the mud-water separation process; Specifically, the secondary sedimentation tank detection unit 25 uses a multi-parameter online monitoring instrument to collect key indicators of the mud-water separation process in real time. These indicators usually include mixed liquor suspended solids (MLSS) concentration, sludge interface height, effluent turbidity, sludge return concentration and return flow rate. Among them, the MLSS concentration is monitored by an online suspended solids analyzer or optical density meter to continuously measure the concentration of activated sludge entering the secondary sedimentation tank, providing a basis for optimizing the sludge load and return ratio; the sludge interface height is monitored by an ultrasonic level meter or a differential pressure interface meter to track the position of the mud-water interface in the secondary sedimentation tank in real time and evaluate the sludge settling performance and tank capacity utilization rate; the effluent turbidity is monitored by an online turbidity meter to continuously measure the suspended solids content of the effluent from the secondary sedimentation tank and monitor the compliance of the effluent water quality; the sludge return concentration and return flow are monitored by an online sludge concentration meter and an electromagnetic flow meter respectively to grasp the concentration and amount of the return sludge, providing data support for sludge age control and metered return.

[0037] The secondary sedimentation tank detection unit 25 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed sedimentation tank detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0038] A sludge thickening tank detection unit 26, used to monitor sludge thickening detection data of the sludge thickening process; Specifically, the sludge thickening tank detection unit 26 uses a multi-parameter online monitoring instrument to collect key indicators of the sludge thickening process in real time. These indicators usually include sludge concentration, sludge interface height, supernatant turbidity, sludge flocculation state, etc. Among them, the sludge concentration is monitored by an online sludge concentration meter or a microwave concentration meter to continuously measure the dry matter content of the sludge in the thickening tank and evaluate the concentration effect and concentration ratio; the sludge interface height is monitored by an ultrasonic level meter or a differential pressure interface meter to track the mud-water interface position in the thickening tank in real time to grasp the sludge sedimentation rate and tank capacity utilization rate; the supernatant turbidity is monitored by an online turbidity meter to continuously measure the suspended matter concentration of the supernatant in the thickening tank and monitor the supernatant water quality and mud-water separation effect; the sludge flocculation state is monitored by an online flocculation degree analyzer or a microscopic imaging system to dynamically analyze the particle size and floc strength of the concentrated sludge to evaluate the sludge concentration performance and conditioning effect.

[0039] The sludge concentration tank detection unit 26 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed sludge concentration detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0040] The disinfection pool detection unit 27 is used to monitor the disinfection detection data of the disinfection process.

[0041] Specifically, the disinfection pool detection unit 27 performs necessary preprocessing on the collected index data, such as data filtering, denoising, correction, etc., to ensure the accuracy and reliability of the data. Afterwards, the processed disinfection detection data is uploaded to the data processing module 3 through the communication interface for subsequent data analysis and control decision-making.

[0042] The application of the disinfection pool detection unit 27 provides important data support for the intelligent control of the sewage treatment system. Through real-time monitoring of the disinfection process, it is possible to promptly detect abnormal operation of the disinfection pool, such as insufficient disinfectant addition, short contact time, excessive pH value, etc., and take corresponding control measures in a timely manner according to the data analysis results, such as adjusting the dosage, extending the residence time, adding pH regulators, etc., to ensure the stability and effect of the disinfection process. At the same time, the disinfection detection data can also be used to evaluate the disinfection difficulty and microbial risk of sewage, and provide decision-making references for optimizing disinfection processes and control strategies.

[0043] Data processing module 3 is used to analyze the detection data to obtain control data, which includes: regulating tank control data, hydrolysis control data, anaerobic control data, oxidation control data, sedimentation tank control data, sludge concentration control data and disinfection control data; Specifically, the data processing module 3 uses an intelligent optimization algorithm based on machine learning to establish a mathematical model of the sewage treatment process. The model comprehensively considers the process characteristics, design parameters, operation constraints and other factors of each treatment unit, and can accurately describe the dynamic behavior of the sewage treatment system. Through the analysis and calculation of real-time detection data, the data processing module 3 obtains a series of control data, including regulating tank control data, hydrolysis control data, anaerobic control data, oxidation control data, sedimentation tank control data, sludge concentration control data and disinfection control data.

[0044] These control data correspond to each sewage treatment unit one by one, reflecting the optimal operating parameter settings of each unit under the current state. For example, the control data of the regulating tank may include the optimal water inlet pump flow and pH regulator dosage; the hydrolysis control data may include the optimal temperature control setting value and feed pump flow; the oxidation control data may include the optimal blower air volume and mixed liquor reflux ratio, etc. When generating the control data, the data processing module 3 fully considers the coupling effects and constraints between the treatment units to ensure the global optimality and feasibility of the control scheme.

[0045] Data processing module 3 adopts an adaptive learning mechanism, which can continuously correct and improve the sewage treatment process model and control strategy according to the actual operation effect of the system. Through continuous data accumulation and algorithm iteration, the intelligent optimization performance of data processing module 3 is continuously improved, providing a reliable guarantee for the long-term stable operation of the sewage treatment system.

[0046] Based on the above embodiment, as an optional embodiment, the data processing module 3 includes: a regulating tank data processing unit 31, a hydrolysis tank data processing unit 32, an anaerobic tank data processing unit 33, an aerobic tank data processing unit 34, a secondary sedimentation tank data processing unit 35, a sludge thickening tank data processing unit 36 ​​and a disinfection tank data processing unit 37; The regulating pool data processing unit 31 is used to analyze the regulating pool detection data to obtain the regulating pool control data, which includes the lifting pump frequency data, the alkali solution dosage data and the hydraulic retention time; Specifically, the regulating pool data processing unit 31 first integrates and preprocesses the regulating pool detection data, and combines external factors such as inflow flow and water quality fluctuations, and uses data mining methods such as time series analysis and multivariate statistics to establish a mathematical model that reflects the dynamic characteristics of the regulating pool. On this basis, through technical means such as process simulation and parameter optimization, the optimal control strategy for the operation of the regulating pool is solved, and the corresponding regulating pool control data is generated.

[0047] The regulation data of the equalization tank mainly include three aspects: one is the frequency data of the lifting pump. According to the changes in the water inlet and the feedback of the pool liquid level, the operating frequency of the lifting pump is dynamically adjusted to realize the quantitative or fixed liquid level control of the equalization tank; the second is the alkali solution dosage data. According to the pH value of the inlet water and the pH value of the equalization tank, the dosage of the alkali solution dosing pump is optimized in real time to maintain the relative constancy of the pH value of the equalization tank; the third is the hydraulic retention time. According to the difference in water inlet and outlet, the average residence time of sewage in the equalization tank is dynamically calculated, and combined with the mixing uniformity analysis, the residence time is optimized and controlled.

[0048] The regulating tank data processing unit 31 transmits the generated regulating tank control data to the data interaction and monitoring module 4, and finally realizes the precise control of the regulating tank operation through the sewage treatment equipment control module 2. For example, when the water inflow surges, the frequency data of the booster pump will be increased accordingly, and the operating frequency of the booster pump will be accelerated, and the sewage temporarily stored in the regulating tank will be transported to the back-end treatment system in time to avoid excessive accumulation of sewage in the regulating tank; when the pH value of the influent drops sharply, the alkali solution dosage data will be appropriately increased, and by adding more alkali solution, the pH value of the regulating tank will be quickly restored to the optimal range, creating favorable conditions for subsequent biochemical treatment; when the residence time monitoring value deviates from the set range, the system will timely adjust the operating frequency difference between the water inlet pump and the booster pump, or dynamically optimize the residence time of sewage in the regulating tank by adjusting the liquid level setting value, so as to avoid the anaerobic odor of sewage caused by too long time, and prevent the water quality balance effect from being affected by too short time.

[0049] Based on the above embodiment, as an optional embodiment, the regulating tank detection data includes water inlet flow data, water inlet pH value and hydrolysis tank water level data; the regulating tank data processing unit includes: a lift pump data adjustment unit, a regulating tank alkali solution addition adjustment unit and a hydraulic retention time adjustment unit; The lift pump data adjustment unit is used to predict the water level change trend in the regulating tank according to the water inlet flow data, and determine the lift pump frequency data according to the water level change trend; Specifically, the regulating tank detection unit conducts online monitoring of the key parameters of the regulating tank, including the inlet flow data, the inlet pH value and the hydrolysis tank water level data. Among them, the inlet flow data reflects the actual amount of sewage collected and is an important basis for the operation and control of the regulating tank. The inlet pH value is closely related to the water quality of the sewage. Too high or too low pH values ​​will affect the subsequent biochemical treatment effect. The hydrolysis tank water level data indirectly reflects the actual operating status of the lift pump, which is crucial to maintaining normal water inflow to the hydrolysis tank.

[0050] The regulating tank data processing unit is responsible for analyzing various monitoring data collected by the regulating tank detection unit, and forming a series of control instructions based on this data, mainly including the lift pump data control unit, the regulating tank alkali solution addition control unit and the hydraulic retention time control unit.

[0051] The lift pump is a key equipment for transporting sewage from the regulating tank to the hydrolysis tank. The operating frequency of the lift pump directly determines the outflow rate of the regulating tank, which in turn affects the water level balance between the regulating tank and the hydrolysis tank. The lift pump data adjustment unit comprehensively analyzes the inlet flow data and the hydrolysis tank water level data to predict the changing trend of the regulating tank water level. When the inlet flow rate is greater than the lift pump flow rate, the regulating tank water level will continue to rise; otherwise, the regulating tank water level will gradually decrease. According to the water level change trend, the lift pump data adjustment unit calculates the optimal lift pump frequency data in real time, controls the variable frequency start and stop of the lift pump through PLC, dynamically matches the inlet flow rate with the lift pump flow rate, stabilizes the regulating tank water level, and prevents abnormal operating conditions such as high water level overflow or low water level dry pump. The inlet pH value is a key factor affecting the biochemical treatment of sewage. Most sewage treatment The alkali solution dosing adjustment unit of the regulating tank is used to calculate the alkali solution dosing amount data of the regulating tank according to the pH value of the influent and the water level data of the hydrolysis tank; Specifically, the alkali solution dosing adjustment unit of the regulating tank dynamically calculates the optimal alkali solution dosage by analyzing the inlet pH value and the hydrolysis tank water level data collected by the regulating tank detection unit, forms alkali solution dosage data, and guides the precise operation of the alkali solution dosing pump. The specific implementation process is as follows: First, the alkali solution dosing adjustment unit of the regulating tank monitors the pH value of the influent in real time. When the pH value is lower than the set threshold (such as 7.0), the alkali solution dosing procedure is triggered. The calculation of the alkali solution dosage needs to comprehensively consider factors such as the acidity of the influent and the amount of water in the regulating tank. Generally speaking, the greater the acidity of the influent, the greater the dosage; the larger the water volume in the regulating tank, the stronger the buffering capacity for the pH value, and the dosage concentration can be reduced accordingly.

[0052] The alkali solution dosing adjustment unit of the regulating tank estimates the alkali solution concentration required for a unit of water volume based on the deviation between the influent pH value and the set threshold. At the same time, the actual water volume of the regulating tank is inverted in combination with the water level data of the hydrolysis tank. The three parameters of influent pH value, unit alkali consumption and water volume in the tank can basically determine the total alkali solution dosage. Considering the hydraulic retention time of the regulating tank, the alkali solution should be added in multiple times to avoid the impact of sharp fluctuations in pH value on microorganisms.

[0053] After comprehensive analysis, the alkali solution dosing adjustment unit of the regulating tank obtains a series of alkali solution dosing data, including total dosing amount, dosing frequency, concentration of each dosing, etc. These data are converted into control instructions for the dosing pump through the PLC controller to accurately perform the alkali solution dosing task. The dosing pump automatically adjusts the alkali solution flow rate and dosing time according to the setting of the alkali solution dosing data, quantitatively transports the alkali solution to the regulating tank, and fully mixes it with the influent to achieve dynamic regulation of the pH value.

[0054] During the alkali solution addition process, the alkali solution addition and adjustment unit in the regulating tank will continue to monitor the pH value changes to form a closed-loop control. Once the pH value exceeds the set range, the alkali solution addition amount will be adjusted in time until the pH value stabilizes in the target range. If necessary, the mixing device in the regulating tank can be used to strengthen the mixing of alkali solution and sewage to improve the pH adjustment efficiency.

[0055] The hydraulic retention time adjustment unit is used to determine the hydraulic retention time of the regulating tank according to the influent water quality and the gate opening.

[0056] Specifically, the hydraulic retention time regulation unit comprehensively analyzes parameters such as influent water quality and gate opening, dynamically calculates the optimal retention time of the regulating pool, and guides the flexible operation of the regulating pool. The specific implementation process is as follows: First, the hydraulic retention time adjustment unit monitors the influent water quality in real time, focusing on the changes in the concentration of pollutants such as COD, ammonia nitrogen, and SS. When the influent water quality fluctuates significantly, the hydraulic retention time needs to be adjusted accordingly. Generally speaking, the higher the pollutant concentration, the longer the retention time is to ensure sufficient mixing and homogenization; the lower the pollutant concentration, the shorter the retention time can be appropriately to improve turnover efficiency.

[0057] Secondly, the gate opening affects the actual water storage capacity of the regulating pool, which in turn affects the hydraulic retention time. The larger the gate opening, the smaller the water storage capacity and the shorter the hydraulic retention time; conversely, the retention time is longer. The hydraulic retention time adjustment unit estimates the actual effective volume of the regulating pool by analyzing the gate opening data. Combined with the inflow flow data, the actual hydraulic retention time can be converted.

[0058] The hydraulic retention time adjustment unit uses mathematical models and empirical formulas to dynamically calculate the optimal hydraulic retention time based on comprehensive consideration of the influent water quality and gate opening. Generally, according to the sewage treatment engineering design specifications, the hydraulic retention time of the regulating tank should be controlled within 4 to 8 hours. According to specific circumstances, the hydraulic retention time adjustment unit provides detailed time setting values ​​as the basis for the operation control of the regulating tank.

[0059] According to the hydraulic retention time determined by the hydraulic retention time adjustment unit, the PLC controller adjusts the coordinated operation of the inlet pump, lift pump and gate accordingly. When the actual retention time is short, the flow of the inlet pump can be reduced, the frequency of the lift pump can be reduced, or the gate can be appropriately closed to extend the retention time of sewage in the pool; when the actual retention time is long, the opposite measures are taken to speed up the turnover of sewage. The liquid level, volume, inlet and outlet flow and other parameters of the regulating pool change dynamically, and ultimately the actual retention time approaches or reaches the optimal retention time.

[0060] The hydrolysis tank data processing unit 32 is used to analyze the hydrolysis detection data to obtain the hydrolysis regulation data, and the hydrolysis regulation data includes the pH value and the temperature of the hydrolysis tank; Specifically, the hydrolysis tank data processing unit 32 first integrates and preprocesses the hydrolysis detection data, and combines external factors such as influent water quality and sludge type, and uses data mining methods such as machine learning and deep learning to establish an intelligent model that reflects the dynamic characteristics of the hydrolysis process. On this basis, through model training, parameter optimization and other technical means, the optimal control strategy for the operation of the hydrolysis tank is solved, and the corresponding hydrolysis regulation data is generated.

[0061] The hydrolysis regulation data mainly include two aspects: one is the pH value of the hydrolysis tank. By analyzing the relationship between the inlet pH value, alkalinity, VFA concentration and other parameters and the pH value of the hydrolysis tank, combined with the optimal growth pH range of the hydrolysis bacteria, the pH adjustment set value of the hydrolysis tank is dynamically optimized, and the addition amount of alkali solution or acid solution is controlled to maintain the relative stability of the pH value of the hydrolysis tank; the second is the temperature of the hydrolysis tank. By analyzing the effects of factors such as inlet water temperature, ambient temperature, fermentation heat, etc. on the temperature of the hydrolysis tank, combined with the optimal growth temperature range of the hydrolysis bacteria, the insulation or heating measures of the hydrolysis tank are dynamically adjusted, and the start and stop and power of the heating device are controlled to stabilize the temperature of the hydrolysis tank at the optimal level.

[0062] Based on the above embodiment, as an optional implementation, the hydrolysis control data includes the amount of alkali solution added to the hydrolysis tank and the power of the heating device; the hydrolysis tank data processing unit includes: a hydrolysis tank temperature adjustment unit and a hydrolysis tank alkali solution addition adjustment unit; The hydrolysis tank alkali solution addition adjustment unit is used to determine the amount of alkali solution added to the hydrolysis tank according to the pH value of the hydrolysis tank; Specifically, the alkali solution dosing and regulating unit of the hydrolysis tank dynamically determines the alkali solution dosing amount of the hydrolysis tank according to the real-time data collected by the pH value sensor of the hydrolysis tank, guides the precise operation of the alkali solution dosing pump, and realizes the automatic control of the pH value. The specific implementation process is as follows: First, the alkali solution addition and adjustment unit of the hydrolysis tank continuously monitors the pH value changes of the hydrolysis tank. According to experience, the pH value of the inlet water of the hydrolysis tank is generally between 5.5 and 6.5. Below this range, the activity of the hydrolytic bacteria is inhibited and the hydrolysis efficiency decreases; above this range, the acid production of hydrolysis is weakened, and the VFA accumulation is insufficient, which is not conducive to the growth and metabolism of subsequent methanogens. Therefore, when the pH value of the hydrolysis tank is lower than the set lower limit (such as 5.5), the alkali solution addition program is started in time.

[0063] The determination of the amount of alkali solution added to the hydrolysis tank requires comprehensive consideration of multiple factors such as the pH value of the hydrolysis tank, sludge type, sludge concentration, hydrolysis temperature, etc. According to different working conditions, the alkali solution addition adjustment unit of the hydrolysis tank uses an intelligent algorithm to establish a mathematical model to accurately calculate the theoretical alkali solution addition amount. The model parameters are obtained through statistical analysis of a large amount of operating data, and are continuously optimized and corrected based on feedback results.

[0064] After the alkali solution dosage is determined, the alkali solution dosage adjustment unit of the hydrolysis tank sends the control command to the PLC controller, which accurately adjusts the flow rate and start and stop time of the alkali solution dosage pump. The alkali solution dosage pump quantitatively delivers the metered alkali solution (such as sodium hydroxide solution) to the hydrolysis tank and fully mixes it with the sludge. The mixing process can be accelerated by equipment such as agitators to accelerate the dispersion and dissolution of the alkali solution and shorten the pH adjustment time.

[0065] During the alkali solution addition process, the alkali solution addition adjustment unit of the hydrolysis tank will also monitor the pH value changes in real time to form a closed-loop feedback control. Once the pH value returns to the target range, the alkali solution addition will be stopped or reduced in time to avoid excessive addition leading to an increase in pH value. If necessary, the time step and frequency of alkali solution addition can be dynamically optimized according to the pH value fluctuation amplitude and frequency, the pH value curve can be smoothed, and the impact of sudden pH changes on hydrolytic bacteria can be reduced.

[0066] The hydrolysis tank temperature adjustment unit is used to determine the power of the heating device according to the temperature of the hydrolysis tank.

[0067] Specifically, the hydrolysis tank temperature adjustment unit dynamically determines the heating power of the heating device according to the real-time data collected by the hydrolysis tank temperature sensor, thereby realizing automatic control of the hydrolysis tank temperature. The specific implementation process is as follows: First, the hydrolysis tank temperature adjustment unit continuously monitors the changes in the sludge temperature in the hydrolysis tank. According to experience, medium-temperature hydrolysis is generally carried out at around 35~38℃. When the temperature is kept in this range, the hydrolysis bacteria grow vigorously, the acid production is active, and the hydrolysis efficiency is the highest. When the temperature of the hydrolysis tank is lower than the set lower limit (such as 35℃), the heating program is started in time.

[0068] Secondly, the temperature control unit of the hydrolysis tank comprehensively analyzes the amount of sludge in the tank, the specific heat capacity of the sludge, the heat loss and other factors, and uses the heat balance equation to calculate the theoretical heat required to restore and maintain the target temperature. On this basis, combined with the heating efficiency of the heating device, the equivalent heating power is converted. Considering the low thermal conductivity of the sludge, the heating power is appropriately left with a margin to reduce the temperature rise lag.

[0069] According to the heating power determined by the temperature control unit of the hydrolysis tank, the PLC controller adjusts the actual operating power of the heating device accordingly. The heating device can adopt various forms such as steam heating, electric heating, and heat pump heating. Taking electric heating as an example, the PLC controller continuously inputs heat to the sludge in the hydrolysis tank by adjusting the power of the heating tube and the power-on time. At the same time, a stirring device is set in the tank to speed up the uniform diffusion of heat and shorten the heating time.

[0070] During the heating process, the temperature adjustment unit of the hydrolysis tank tracks the temperature changes in real time and forms a closed-loop feedback comparison with the set temperature. Once the temperature reaches or exceeds the set value, the heating power is stopped or reduced in time to avoid overheating and death of hydrolytic bacteria. After the temperature recovers, the heating is restarted according to the lower limit value, and the cycle is repeated so that the temperature of the hydrolysis tank is stabilized within the target range. In operational practice, the heating rules can also be summarized and the heating curve can be optimized to shorten the heating time, avoid sudden rises and falls, and maintain a steady-state environment for the growth of hydrolytic bacteria.

[0071] The anaerobic tank data processing unit 33 is used to analyze the anaerobic detection data to obtain anaerobic regulation data, the anaerobic regulation data including the anaerobic tank water level regulation data and the deodorization fan regulation power; Specifically, the main function of the anaerobic tank is to use anaerobic bacteria to convert organic matter in sewage into biogas under anaerobic conditions and remove some organic pollutants in sewage. Key factors affecting the anaerobic treatment effect include the water level and odor control of the anaerobic tank. Therefore, the anaerobic tank data processing unit 33 focuses on analyzing the detection parameters related to these factors, and through the data mining algorithm, reveals the correlation between each parameter and the anaerobic treatment effect and the optimization strategy, and then obtains the best control plan and execution parameters.

[0072] Specifically, the anaerobic tank data processing unit 33 first integrates and preprocesses the anaerobic detection data, and uses machine learning, deep learning and other data mining methods to establish an intelligent model that reflects the dynamic characteristics of the anaerobic process by combining external factors such as influent water quality, sludge concentration, and biogas production. On this basis, the optimal control strategy for the operation of the anaerobic tank is solved through multi-objective optimization, intelligent decision-making and other technical means, and the corresponding anaerobic regulation data is generated.

[0073] The anaerobic control data mainly include two aspects: one is the anaerobic tank water level adjustment data. By analyzing the relationship between the inlet flow rate, effluent flow rate, biogas production and other parameters and the anaerobic tank water level, combined with the optimal expansion degree of the anaerobic granular sludge bed, the liquid level adjustment set value of the anaerobic tank is dynamically optimized, and the flow rates of the inlet pump, effluent pump and circulation pump are controlled to maintain the relative constancy of the anaerobic tank water level, ensure the integrity of the sludge bed and the efficient anaerobic reaction; the second is the deodorization fan adjustment power. By analyzing the H2S concentration, NH3 concentration and other parameters in the upper gas phase of the anaerobic tank, combined with the odor emission standards and negative pressure control requirements, the operating power of the anaerobic tank deodorization fan is dynamically adjusted to control the negative pressure value and ventilation frequency of the anaerobic tank, effectively remove the odor emitted from the anaerobic tank, and improve the system operating environment.

[0074] Based on the above embodiment, as an optional embodiment, the anaerobic detection data includes: ammonia nitrogen value and anaerobic tank water level data; the anaerobic tank data processing unit includes: a deodorizing fan adjustment unit and a water level adjustment unit; A deodorizing fan adjustment unit is used to determine the deodorizing fan adjustment power according to the ammonia nitrogen value; Specifically, the deodorizing fan adjustment unit dynamically determines the operating power of the deodorizing fan based on the real-time data collected by the ammonia nitrogen sensor in the anaerobic tank, thereby realizing efficient collection and treatment of odorous gases. The specific implementation process is as follows: First, the deodorizing fan adjustment unit continuously monitors the changes in the ammonia nitrogen concentration in the anaerobic tank. According to experience, when the ammonia nitrogen concentration exceeds 150mg / L, it will accelerate the generation of malodorous gases such as hydrogen sulfide and methyl mercaptan, causing pollution to the surrounding environment. Therefore, the ammonia nitrogen concentration of 150mg / L is set as the deodorizing start threshold. When the ammonia nitrogen concentration is detected to exceed this value, the deodorizing fan is immediately turned on.

[0075] Secondly, the operating power of the deodorizing fan needs to match the amount of odorous gas. The deodorizing fan adjustment unit comprehensively analyzes factors such as the volume of the anaerobic tank, ammonia nitrogen concentration, and wind speed on the pool surface, and estimates the theoretical amount of odorous gas produced through a mathematical model. On this basis, the optimal operating power of the fan is determined by combining the air volume parameters of the deodorizing fan and the capture efficiency of the gas hood. This power must not only ensure the effective collection of odorous gases, but also avoid excessive suction wind speed to avoid disturbing the sludge in the anaerobic tank.

[0076] According to the operating power determined by the deodorizing fan adjustment unit, the PLC controller adjusts the actual output power of the deodorizing fan accordingly. The deodorizing fan generates negative pressure, which draws the malodorous gas above the anaerobic tank to the gas collecting pipe. After being collected through the pipe, it is uniformly transported to the deodorizing facility for treatment. In order to ensure the deodorizing effect, biological filters, chemical scrubbers, activated carbon adsorption and other processes are usually used to achieve efficient removal of malodorous gases.

[0077] During the deodorization process, the deodorization fan adjustment unit will also track the changes in ammonia nitrogen concentration in real time and compare it with the set threshold. Once the ammonia nitrogen concentration returns to the normal range, the deodorization fan's operating power can be stopped or reduced in time to avoid unnecessary energy waste. When the ammonia nitrogen concentration exceeds the standard again, the fan power will be readjusted according to the feedback data to dynamically match the deodorization effect with the degree of odor.

[0078] The water level regulating unit is used to determine the anaerobic tank water level regulating data according to the anaerobic tank water level data.

[0079] Specifically, the water level regulating unit determines the inlet and outlet water flow rates that need to be regulated based on the real-time data collected by the anaerobic tank water level sensor, dynamically generates anaerobic tank water level regulation data, guides the precise control of the inlet pump and outlet pump, and realizes automatic regulation of the anaerobic tank liquid level. The specific implementation process is as follows: First, the water level regulating unit continuously monitors the actual liquid level of the anaerobic tank. According to the design parameters, the anaerobic tank generally sets the maximum and minimum liquid levels. Above the maximum liquid level, the sewage does not stay in the anaerobic tank for a long time and is difficult to fully degrade; below the minimum liquid level, it may cause problems such as sludge surge or equipment idling. Therefore, the maximum and minimum liquid levels are set as the control thresholds for water level regulation.

[0080] Secondly, when the anaerobic tank level is detected to exceed the control threshold, the water level adjustment unit starts the level adjustment program. The adjustment program is based on a mathematical model, comprehensively analyzing factors such as the anaerobic tank volume, designed hydraulic retention time, and influent water quality, and calculates the inlet and outlet flow rates required to restore and maintain the optimal liquid level. The model is established based on a large amount of operation monitoring data and is continuously optimized and corrected in practical applications.

[0081] According to the adjustment data determined by the water level adjustment unit, the PLC controller performs the adjustment of the inlet and outlet water flow accordingly. If the liquid level is higher than the maximum liquid level, the outlet flow is increased and the inlet flow is reduced by measures such as increasing the outlet pump frequency and reducing the inlet pump frequency; if the liquid level is lower than the minimum liquid level, the opposite adjustment strategy is adopted. The rate and amplitude of flow adjustment need to be determined according to factors such as the degree of liquid level deviation and the volume of the anaerobic tank, in order to avoid adjustment lag and prevent shock load. At the same time, the inlet and outlet water must ensure stable water quality and quantity to reduce interference with the anaerobic process unit.

[0082] During the liquid level adjustment process, the water level adjustment unit will also track the liquid level changes in real time, and conduct a closed-loop feedback comparison between the actual liquid level and the set threshold. Once the liquid level returns to the control range, the normal operating parameters of the inlet and outlet pumps will be restored in time. If the inlet and outlet water flow adjustment has reached the maximum amplitude and the liquid level still does not meet the standard, a timely warning will be issued to prompt manual intervention inspection. In the daily operation of the anaerobic tank, the frequency and step length of liquid level adjustment can also be optimized according to the load change law and water quality characteristics, while ensuring the hydraulic retention time, reducing the fluctuation of water volume and water quality.

[0083] The aerobic pool data processing unit 34 is used to analyze the oxidation detection data to obtain the oxidation control data, and the oxidation control data includes the oxygen supply fan adjustment power data and the aerobic pool water level adjustment data; Specifically, the main function of the aerobic pool is to use aerobic microorganisms to oxidize and decompose organic pollutants in sewage under sufficient oxygen supply conditions, significantly reduce COD, BOD and other indicators of sewage, and achieve standard discharge of sewage. Key factors affecting the effect of aerobic treatment include dissolved oxygen level and hydraulic conditions in the pool. Therefore, the aerobic pool data processing unit 34 focuses on analyzing the detection parameters related to these factors, and through data mining algorithms, reveals the correlation and control mechanism between each parameter and the aerobic treatment effect, and then derives the optimal control strategy and execution parameters.

[0084] Specifically, the aerobic tank data processing unit 34 first integrates and preprocesses the oxidation detection data, and combines external factors such as influent water quality, MLSS concentration, sludge load, etc., and uses data mining methods such as machine learning and expert systems to establish an intelligent model that reflects the dynamic characteristics of the aerobic process. On this basis, through multi-objective optimization, fuzzy control and other technical means, the optimal control strategy for the operation of the aerobic tank is solved, and the corresponding oxidation control data is generated.

[0085] The oxidation control data mainly include two aspects: one is the oxygen supply fan adjustment power data. By analyzing the relationship between parameters such as dissolved oxygen, wind pressure, air volume and the oxygen supply intensity of the aerobic pool, combined with the dissolved oxygen demand of the aerobic bacteria, the operating power of the oxygen supply fan is dynamically optimized, and the dissolved oxygen level of the aerobic pool is adjusted in real time to meet the growth and metabolic needs of microorganisms and avoid energy waste caused by excessive oxygen supply. The second is the aerobic pool water level adjustment data. By analyzing the relationship between parameters such as water inlet flow, return ratio, pool capacity and the water level of the aerobic pool, combined with the head demand of the mixed liquid return pump, the liquid level set value of the aerobic pool is dynamically adjusted to control the flow of the water inlet pump and the return pump. The water level of the aerobic pool is maintained relatively stable to ensure the hydraulic retention time and oxidation reaction effect.

[0086] Based on the above embodiment, as an optional implementation, the oxidation detection data includes the dissolved oxygen concentration in the oxidation tank and the water level in the aerobic tank; the aerobic tank data processing unit includes: an oxygen supply fan power adjustment unit and an aerobic tank water level adjustment unit; The oxygen supply fan power adjustment unit is used to determine the oxygen supply fan adjustment power data according to the dissolved oxygen concentration in the oxidation tank; Specifically, the oxygen supply fan power adjustment unit dynamically determines the output power of the oxygen supply fan according to the real-time data collected by the dissolved oxygen sensor in the oxidation tank, thereby realizing automatic adjustment of the dissolved oxygen concentration. The specific implementation process is as follows: First, the oxygen supply fan power adjustment unit continuously monitors the dissolved oxygen concentration in the oxidation tank. According to experience, the optimal demand for dissolved oxygen by aerobic microorganisms is 2~4mg / L. When the dissolved oxygen is lower than 2mg / L, the nitrification reaction is inhibited and the ammonia nitrogen removal efficiency decreases; when it is higher than 4mg / L, the aeration energy consumption increases significantly and sludge bulking is easily caused. Therefore, 2mg / L and 4mg / L are set as the lower and upper limits of dissolved oxygen control.

[0087] Secondly, when it is detected that the dissolved oxygen concentration in the oxidation pond exceeds the control range, the oxygen supply fan power adjustment unit starts the dissolved oxygen concentration adjustment program. The adjustment program is based on the dissolved oxygen kinetic model, comprehensively analyzes factors such as the oxidation pond volume, sludge concentration, water temperature, and inlet water quality, and calculates the amount of oxygen required to maintain the target dissolved oxygen concentration. On this basis, combined with the oxygen supply efficiency of the oxygen supply fan and the pipeline transportation capacity, the optimal output power of the fan is determined.

[0088] According to the adjustment power determined by the oxygen supply fan power adjustment unit, the PLC controller adjusts the actual operating power of the oxygen supply fan accordingly. The oxygen supply fan transports air to the oxidation tank through the pipeline, and injects fine bubbles into the sewage through the aeration head to strengthen the dissolution and mass transfer process of oxygen and increase the dissolved oxygen concentration in the sewage. At the same time, aeration also plays a mixing and stirring role, accelerating the full contact between sludge and sewage and promoting aerobic reactions.

[0089] During the dissolved oxygen concentration adjustment process, the oxygen supply fan power adjustment unit will also track the real-time changes in dissolved oxygen concentration and perform a closed-loop feedback comparison with the set range. Once the dissolved oxygen concentration returns to the control range, the operating power of the oxygen supply fan will be restored or reduced in time to avoid energy waste caused by excessive aeration. When the dissolved oxygen concentration exceeds the control range again, the oxygen supply fan power will be recalibrated according to the degree of deviation to keep the dissolved oxygen concentration stable at the target level for a long time. In operational practice, the law of dissolved oxygen concentration changes can also be summarized, and the control strategy and operating parameters can be optimized to ensure that the effluent water quality is stable and meets the standards while saving energy and reducing consumption.

[0090] The aerobic pool water level regulating unit is used to determine the aerobic pool water level regulating data according to the aerobic pool water level.

[0091] Specifically, the aerobic pool water level adjustment unit determines the inlet and outlet water flow rates that need to be adjusted based on the real-time data collected by the water level sensor, dynamically generates aerobic pool water level adjustment data, guides the precise control of the inlet pump and outlet pump, and realizes automatic adjustment of the aerobic pool liquid level. The specific implementation process is as follows: First, the aerobic tank water level adjustment unit continuously monitors the actual liquid level of the aerobic tank. According to the process design parameters, the aerobic tank generally sets the maximum and minimum liquid levels. Above the maximum liquid level, the hydraulic load of the aerobic tank exceeds the design value, which is easy to cause sludge loss; below the minimum liquid level, the effective volume of the aerobic tank is reduced and the hydraulic retention time is insufficient. Therefore, the maximum and minimum liquid levels are set as the control thresholds for water level adjustment.

[0092] Secondly, when the aerobic pool level is detected to exceed the control threshold, the aerobic pool water level adjustment unit starts the water level adjustment program. The adjustment program is based on the water balance model, comprehensively analyzes the inlet flow, outlet flow, aerobic pool volume, design residence time and other factors, and calculates the inlet and outlet flow required to restore and maintain the target liquid level. The model parameters are dynamically corrected according to the design value and operation data to improve the reliability of the calculation results.

[0093] According to the water level adjustment data determined by the aerobic pool water level adjustment unit, the PLC controller will adjust the inlet and outlet water flow accordingly. If the liquid level is higher than the maximum level, the outlet flow rate will be increased and the inlet flow rate will be reduced by increasing the frequency of the outlet pump and closing the opening of the inlet valve. If the liquid level is lower than the minimum level, the opposite adjustment strategy will be adopted. The rate and amplitude of flow adjustment must take into account factors such as the inlet water quality and microbial tolerance to avoid excessive hydraulic shock and affect the sewage treatment efficiency. At the same time, the inlet and outlet water should also operate in coordination with other process units to ensure the overall water quantity and quality balance of the system.

[0094] During the water level adjustment process, the water level adjustment unit will also track the liquid level changes in real time and compare the actual liquid level with the set threshold. Once the liquid level returns to the control range, the normal operating parameters of the inlet and outlet pumps will be restored in time. If the inlet and outlet water flow adjustment has reached the maximum range and the liquid level is still beyond the control range, a timely warning will be issued to prompt manual troubleshooting of the cause of the fault. In daily operation, the liquid level control strategy can also be flexibly adjusted according to the water inlet conditions and discharge requirements. While meeting the residence time requirements, the water volume and water quality fluctuations of the inlet water can be appropriately buffered to reduce the impact load on subsequent process units.

[0095] The secondary sedimentation tank data processing unit 35 is used to analyze the sedimentation tank detection data to obtain sedimentation tank control data, and the sedimentation tank control data includes the sludge pump start and stop time, the sludge pump start and stop frequency, the return pump start and stop time and the return pump start and stop frequency; Specifically, the main function of the secondary sedimentation tank is to use gravity sedimentation to separate the activated sludge in the mixed liquor of the aerobic tank from the clean water, discharge the supernatant into the system, and return part of the sludge to the aerobic tank or the discharge system. The key factors affecting the effect of the secondary sedimentation tank include sludge return ratio, sludge age, surface load, etc. Therefore, the secondary sedimentation tank data processing unit 35 focuses on analyzing the detection parameters related to these factors, and through the data mining algorithm, reveals the correlation law and regulation mechanism between each parameter and the sedimentation separation effect, and then derives the optimal control strategy and execution parameters.

[0096] Specifically, the secondary sedimentation tank data processing unit 35 first integrates and preprocesses the sedimentation tank detection data, and combines external factors such as MLSS, SVI, and water inflow, and uses data mining methods such as machine learning and deep learning to establish an intelligent model that reflects the dynamic characteristics of the secondary sedimentation tank. On this basis, through multi-objective optimization, intelligent decision-making and other technical means, the optimal control strategy for the operation of the secondary sedimentation tank is solved, and the corresponding sedimentation tank control data is generated.

[0097] The sedimentation tank control data mainly includes four aspects: one is the start and stop time of the sludge pump. By analyzing the relationship between the sludge interface height, sludge concentration, residual sludge volume and other parameters and the sludge pump operation time, combined with the optimal sludge age of the secondary sedimentation tank, the start and stop time of the sludge pump is dynamically optimized to ensure timely and appropriate discharge of residual sludge and maintain the dynamic balance of sludge concentration in the secondary sedimentation tank; the second is the start and stop frequency of the sludge pump. By analyzing the relationship between the influent water quality, sludge yield and other parameters and the start and stop frequency of the sludge pump, combined with the sludge yield of the secondary sedimentation tank, the start and stop times of the sludge pump are dynamically adjusted to avoid frequent start and stop on the equipment The third is the start and stop time of the return pump. By analyzing the relationship between the MLSS concentration, water inlet flow rate and other parameters and the sludge return time, combined with the sludge concentration demand of the aerobic tank, the operation time of the return pump is dynamically controlled to ensure the dynamic matching of the return sludge volume and the inlet load; the fourth is the start and stop frequency of the return pump. By analyzing the relationship between the SVI, sludge settling ratio and other parameters and the start and stop frequency of the return pump, combined with the optimal surface load of the secondary sedimentation tank, the start and stop strategy of the return pump is optimized to meet the return demand while minimizing the shear damage to the sludge flocs.

[0098] Based on the above embodiment, as an optional embodiment, the sedimentation tank detection data includes the mud-water interface height and the effluent suspended solids concentration; the secondary sedimentation tank data processing unit includes: a return pump adjustment amount determination unit and a sludge pump adjustment amount determination unit; A return pump adjustment amount determination unit is used to determine the return pump start and stop time and the return pump start and stop frequency of the sludge return pump according to the mud-water interface height and the effluent suspended matter concentration; Specifically, the return pump adjustment amount determination unit dynamically determines the start and stop time and frequency of the sludge return pump based on the real-time data collected by the mud-water interface height sensor and the effluent suspended solids concentration sensor, guides the precise control of the sludge return amount, and realizes the automatic optimization of the mud-water separation effect of the secondary sedimentation tank. The specific implementation process is as follows: First, the return pump adjustment determination unit continuously monitors the mud-water interface height and the suspended solids concentration in the secondary sedimentation tank. According to experience, the mud-water interface height is generally controlled at 40% of the tank depth, 20 mg / L.

[0099] Secondly, when it is detected that the mud-water interface height or the effluent suspended solids concentration exceeds the control threshold, the return pump adjustment amount determination unit starts the sludge return pump adjustment program. The adjustment program is based on the sedimentation-return dynamics model, comprehensively analyzes factors such as the mud-water interface height, effluent suspended solids concentration, sludge return ratio, sludge settling performance, and mixed liquor concentration, and calculates the start-stop time and start-stop frequency of the sludge return pump required to optimize the mud-water separation and sludge concentration effect. That is, by adjusting the running time and start-stop times of the return pump, the amount of return sludge is controlled, thereby affecting the sludge concentration and mud-water interface height in the secondary sedimentation tank.

[0100] The start and stop time and frequency of the sludge return pump output by the unit are determined according to the adjustment amount of the return pump, and the PLC controller executes the start and stop control of the return pump accordingly. When the mud-water interface height exceeds 60%, the sludge return volume is increased, the sludge concentration in the pool is reduced, and the mud-water interface height is restored by extending the operation time of the return pump and increasing the start and stop frequency; when the mud-water interface is lower than 40% or the suspended solids in the effluent exceed the standard, the sludge return volume is reduced by shortening the operation time of the return pump, reducing the start and stop frequency, and increasing the sludge concentration to control the effluent water quality. The rate and amplitude of the return pump adjustment must take into account factors such as the nature of the sludge, the fluctuation of the influent water volume and water quality, and avoid excessive adjustment to cause hydraulic disturbance in the secondary sedimentation tank. At the same time, the return pump must also work in coordination with equipment such as lifting pumps and scrapers to ensure the dynamic balance of the system's influent and sludge.

[0101] The sludge pump adjustment amount determination unit is used to determine the sludge pump start and stop time and the sludge pump start and stop frequency of the residual sludge pump according to the mud-water interface height and the effluent suspended matter concentration.

[0102] Specifically, the sludge pump adjustment determination unit uses the online monitored mud-water interface height and effluent suspended solids concentration data, combined with the activated sludge growth kinetics model, to dynamically determine the start and stop time and frequency of the excess sludge pump, guide the precise control of the excess sludge discharge, and effectively improve the mud-water separation effect of the secondary sedimentation tank. The specific implementation process is as follows: First, the sludge pump regulation determination unit continuously monitors the mud-water interface height and effluent suspended solids concentration of the secondary sedimentation tank. The mud-water interface is an important indicator for judging the demand for excess sludge discharge, and is generally controlled between 40% and 60% of the tank depth. When the mud-water interface exceeds 60%, it indicates that the sludge is enriched in the tank in large quantities and the sludge discharge needs to be increased; when it is lower than 40%, the sludge load is too low, the sludge age is prolonged, the sludge settling performance decreases, and the effluent suspended solids increase. Therefore, 40% and 60% of the mud-water interface height are set as the control thresholds for starting the excess sludge pump regulation. Exceeding the effluent suspended solids concentration indicates an imbalance in the mud-water separation, which is another important basis for triggering regulation. Secondly, when it is detected that the mud-water interface height or the effluent suspended solids concentration exceeds the control threshold, the sludge pump regulation determination unit starts the excess sludge pump optimization control program. The program is based on the activated sludge growth kinetics model, comprehensively considering the mud-water interface height, effluent suspended solids concentration, mixed liquor concentration (MLSS), sludge age (SRT), sludge settling ratio (SV) and other parameters, and calculates the start-stop time and frequency of the excess sludge pump required to achieve sludge concentration recovery and improve mud-water separation. That is, by adjusting the running time and start-stop times of the sludge pump, the discharge rate and total amount of excess sludge are controlled, thereby affecting the MLSS level and sludge load of the secondary sedimentation tank.

[0103] According to the start and stop time and frequency parameters given by the sludge pump adjustment unit, the PLC controller executes the start and stop control of the residual sludge pump accordingly. When the mud-water interface height exceeds 60%, the residual sludge discharge intensity is increased by extending the running time of the sludge pump, increasing the start and stop frequency, reducing the sludge concentration in the secondary sedimentation tank, and restoring the mud-water interface; when the mud-water interface is too low and the effluent suspended solids exceed the standard, the residual sludge discharge is reduced by shortening the running time of the sludge pump, reducing the start and stop frequency, and improving the MLSS, sludge settling performance and effluent water quality. The rate and amplitude of the residual sludge pump adjustment need to be determined in combination with factors such as the influent water volume and water quality fluctuations to avoid too frequent or drastic sludge discharge, which causes a sudden drop in MLSS and weakens the ability to resist shock loads.

[0104] During the adjustment of the residual sludge pump, the sludge pump adjustment amount determination unit will continuously track the changes in the mud-water interface height and the suspended solids concentration in the effluent of the secondary sedimentation tank, and compare them with the control threshold. Once the indicators return to normal, the conventional sludge discharge plan of the residual sludge pump will be restored in time. If the sludge pump adjustment has reached the maximum level and the mud-water separation condition has not improved, the early warning system will fail and prompt manual troubleshooting. By analyzing the historical operation data, the sludge growth law can also be mastered, the sludge discharge strategy can be corrected, and the sludge production and treatment costs can be minimized while ensuring the effluent water quality.

[0105] The sludge concentration tank data processing unit 36 ​​is used to analyze the sludge concentration detection data to obtain the sludge concentration control data, which includes the sludge concentration time adjustment data and the flocculant addition amount adjustment data; Specifically, the sludge thickening tank detection unit monitors the operating status of the sludge thickening tank in real time, collects key parameters such as sludge solid content, and forms sludge thickening detection data. Sludge solid content is an important indicator to measure the sludge thickening effect, which directly reflects the content of solid matter in the sludge. By continuously monitoring the changes in sludge solid content, the progress of the sludge thickening process can be grasped, providing a basis for optimization control.

[0106] The sludge thickening tank data processing unit receives the sludge thickening detection data collected by the sludge thickening tank detection unit, and uses a special data analysis algorithm to calculate the optimal control parameters of the sludge thickening process and generate sludge thickening control data. The sludge thickening control data includes sludge thickening time adjustment data and flocculant addition amount adjustment data, which correspond to the two key control links of the sludge thickening process.

[0107] Sludge thickening time is an important factor affecting the sludge thickening effect. If the thickening time is too short, the sludge will not have enough time to settle fully, and the suspended solids content in the supernatant will be high; if the thickening time is too long, the sludge concentration will not be significantly improved, and the tank capacity will be occupied, slowing down the treatment rhythm. Therefore, it is necessary to determine the optimal sludge thickening time based on the inlet sludge concentration and the target sludge cake solid content. The sludge thickening tank data processing unit calculates the optimal sludge thickening time by analyzing the rate of change of the sludge solid content and combining empirical models such as the pollution-settling curve, forming sludge thickening time adjustment data to guide the operation of the sludge thickening tank.

[0108] Based on the above embodiment, as an optional embodiment, the sludge concentration detection data includes the sludge solid content; the sludge concentration tank data processing unit includes: a concentration time adjustment amount determination unit and a flocculant adjustment amount determination unit A concentration time adjustment amount determination unit is used to determine the sludge concentration time adjustment data according to the sludge solid content; Specifically, the concentration time adjustment determination unit uses an online sludge concentration meter to continuously monitor the solid content data of the sludge entering and leaving the concentration tank, and combines the sludge concentration kinetic model to determine the optimal concentration time adjustment amount, guide the precise control of the sludge concentration process, and ensure that the solid content of the concentrated sludge meets the design requirements. The specific implementation process is as follows: First, the concentration time adjustment amount determination unit continuously monitors the solid content of the inlet and outlet sludge of the sludge thickening tank. The sludge solid content is the core indicator for measuring the concentration effect. After concentration, the solid content is generally required to reach 4%~6%. The lower the inlet sludge solid content and the higher the outlet sludge solid content, the better the concentration effect, but the concentration time is also correspondingly extended. Therefore, it is necessary to take into account the concentration effect and treatment efficiency, set the outlet sludge solid content of 4% and 6% as its control threshold, and the inlet sludge solid content is used as an important reference for adjusting the concentration time. Secondly, when the outlet sludge solid content is lower than 4% or higher than 6%, the concentration time adjustment amount determination unit starts the concentration time optimization control program. Based on the sludge concentration kinetic model, the program comprehensively considers factors such as the inlet sludge solid content, sludge generation, sludge compressibility, and temperature, and calculates the concentration time adjustment amount required to achieve the target solid content under the existing working conditions. That is, by extending or shortening the concentration time, the mud-water separation process is controlled, thereby affecting the sludge solid content.

[0109] According to the concentration time adjustment data given by the determination unit, the DCS control system adjusts the operating parameters of the concentration tank accordingly, such as start and stop time, stirring speed, etc. When the solid content of the sludge is lower than 4%, the concentration time is appropriately extended to increase the contact time between mud and water, promote mud and water separation, and increase the solid content of the sludge; when the solid content exceeds 6%, the concentration time is shortened to speed up the sludge transportation, control the solid content not to exceed the standard, avoid excessive sludge concentration, and affect transportation and subsequent treatment. The adjustment range of the concentration time needs to take into account factors such as the amount of mud and water, mud quality, and equipment capacity, to avoid too long time, which reduces the treatment efficiency, or too short time, which is insufficient concentration.

[0110] During the thickening time adjustment process, the adjustment amount determination unit will continuously track the changes in the solid content of the inlet and outlet sludge and compare it with the control threshold. Once the sludge solid content stabilizes within the target range, the conventional operation plan of the thickening tank will be restored in time. If the thickening time has reached the adjustment limit and the outlet sludge solid content is still unqualified, an early warning of equipment failure will be issued, prompting manual inspection. In daily operation optimization, the sludge thickening law can also be summarized based on historical data, and a quantitative relationship between the thickening time and the solid content can be established to form an adjustment time-solid content curve to provide a reference for thickening process control.

[0111] The flocculant addition adjustment amount determination unit is used to determine the flocculant addition amount adjustment data according to the sludge solid content.

[0112] Specifically, the flocculant addition adjustment amount determination unit uses an online sludge concentration meter and flocculant flow meter to obtain sludge solid content and flocculant addition amount data in real time, and combines the flocculation kinetic model to determine the optimal flocculant addition amount adjustment data, guide the precise control of the flocculant addition system, and minimize the cost of drug consumption while ensuring the sludge concentration effect. The specific implementation process is as follows: First, the flocculant addition amount adjustment determination unit continuously monitors the inlet sludge solid content and flocculant addition amount of the sludge thickening tank. The sludge solid content is a key factor affecting the flocculation effect. The lower the solid content, the larger the particle spacing, and more flocculants are needed to capture and flocculate them. At the same time, excessive or insufficient flocculant addition will result in substandard sludge solid content. Therefore, the sludge solid content and the outlet sludge solid content are set as important parameters for starting flocculant addition adjustment. Secondly, when the inlet sludge solid content changes or the outlet sludge solid content exceeds the control threshold, the flocculant addition amount adjustment determination unit starts the addition amount optimization control program. Based on the flocculation kinetic model, the program comprehensively considers parameters such as inlet sludge solid content, flocculant type, thickening tank volume, and residence time to calculate the theoretical flocculant dosage required for full sludge flocculation, and combines actual operating conditions, such as temperature, pH, etc., to correct and obtain the optimal flocculant addition amount adjustment data. That is, by increasing or decreasing the amount of flocculant added, the flocculation effect is enhanced or weakened, and the size, strength and sedimentation performance of the sludge flocs are adjusted, thereby affecting the mud-water separation rate and the solid content of the sludge.

[0113] According to the adjustment data given by the flocculant addition adjustment unit, the dosing pump adjusts the flocculant addition rate accordingly. When the inlet solid content of the sludge is low, the flocculant addition amount is appropriately increased to enhance the flocculation effect, promote rapid separation of mud and water, shorten the concentration time, and increase the outlet solid content of the sludge; when the inlet solid content of the sludge is high or the outlet solid content of the sludge exceeds the standard, the dosage is reduced to control the flocculation intensity, slow down the mud-water separation rate, avoid excessive flocculation, and ensure the outlet fluidity of the sludge. The range of flocculant addition adjustment must take into account factors such as the inlet sludge water volume, flocculant concentration, and concentration tank load to avoid excessive adjustments that cause local flocculation imbalance.

[0114] During the process of adjusting the amount of addition, the flocculant addition adjustment amount determination unit will continuously track the changes in the solid content of the incoming sludge and the solid content of the outgoing sludge, and comprehensively evaluate the concentration effect. Once the sludge concentration reaches the optimal state, the conventional dosing plan will be restored in time to avoid excessive dosing. If the flocculant addition amount has been adjusted to the limit and the sludge concentration effect is still not ideal, an early warning of process abnormality will be issued, prompting you to check the equipment operation and sludge properties. By analyzing the dosing and solid content data of the concentration process, it is also possible to understand the relationship between different sludge properties and flocculant requirements, optimize the conventional dosing strategy, and improve the sludge concentration efficiency while saving drug consumption.

[0115] The disinfection pool data processing unit 37 is used to analyze the disinfection detection data to obtain disinfection control data, which includes the amount of sodium hypochlorite added and the adjustment amount of the disinfection contact time.

[0116] Specifically, the disinfection pool detection unit conducts online monitoring of the key parameters of the disinfection pool, focusing on indicators such as residual chlorine concentration and E. coli count to form disinfection detection data. Residual chlorine concentration is an important parameter for evaluating the disinfection effect. Too high a concentration will produce disinfection by-products, threatening the safety of the water environment. Too low a concentration will make it difficult to completely inactivate pathogenic microorganisms, posing a health hazard. The E. coli count is the key basis for judging whether the water quality meets the discharge standards. By real-time monitoring of the dynamic changes in residual chlorine concentration and E. coli count, the actual operating status of the disinfection pool can be grasped, and problems such as inadequate disinfection or excessive disinfection can be discovered and resolved in a timely manner.

[0117] The disinfection pool data processing unit is responsible for analyzing the disinfection test data collected by the disinfection pool detection unit, intelligently calculating key process parameters, and forming disinfection control data. For the sodium hypochlorite disinfection process, the disinfection pool data processing unit focuses on optimizing the two core parameters of sodium hypochlorite dosage and disinfection contact time.

[0118] Based on the above embodiment, as an optional embodiment, the disinfection detection data includes the residual chlorine concentration of the effluent and the change data of the inlet flow rate; the disinfection pool data processing unit includes: a sodium hypochlorite dosage determination unit and a contact time adjustment amount determination unit A sodium hypochlorite dosage determination unit, used to determine the sodium hypochlorite dosage according to the residual chlorine concentration of the effluent; Specifically, the sodium hypochlorite dosage determination unit uses an online residual chlorine analyzer and a sewage flow meter to obtain the effluent residual chlorine concentration and inlet flow data in real time, and combines the disinfection kinetic model to determine the optimal sodium hypochlorite dosage, guide the precise control of the disinfectant dosing system, and minimize the disinfection cost while ensuring the quality of the disinfected effluent. The specific implementation process is as follows: First, the sodium hypochlorite dosage determination unit continuously monitors the residual chlorine concentration of the effluent and the changes in the inlet flow rate of the disinfection pool. The residual chlorine concentration of the effluent is a key indicator for measuring the disinfection effect. If the residual chlorine concentration is too low, the disinfection is not thorough and the risk of residual pathogenic microorganisms is high; if the residual chlorine concentration is too high, it is easy to produce carcinogenic and teratogenic disinfection by-products. Therefore, the residual chlorine concentration of the effluent is controlled within the safe range of 0.3-0.5mg / L. At the same time, fluctuations in the inlet flow rate will dilute or concentrate the disinfectant concentration, affecting the disinfection effect, and the chlorine dosage needs to be adjusted in time due to changes in flow.

[0119] Secondly, when the residual chlorine concentration in the effluent exceeds the control threshold or the inlet flow rate changes significantly, the sodium hypochlorite dosage determination unit starts the dosage optimization control program. Based on the disinfection kinetic model, the program comprehensively considers parameters such as inlet flow rate, sewage quality, disinfection tank volume, contact time, etc., calculates the theoretical amount of sodium hypochlorite required for full disinfection of sewage, and corrects the optimal sodium hypochlorite dosage in combination with actual working conditions, such as temperature and pH. That is, by increasing or decreasing the dosage of sodium hypochlorite, the concentration of disinfectant is increased or decreased, and the disinfection intensity is adjusted, thereby affecting the residual chlorine concentration in the effluent.

[0120] According to the dosage of sodium hypochlorite, the dosage given by the unit is determined, and the chlorination pump adjusts the dosage rate of sodium hypochlorite solution accordingly. When the residual chlorine concentration of the effluent is low, the dosage of sodium hypochlorite is appropriately increased to enhance the disinfection effect, increase the concentration of free chlorine in the water, and control the growth of microorganisms; when the residual chlorine in the effluent exceeds the standard, the amount of chlorine is reduced to reduce the disinfection intensity, avoid excessive disinfection, and reduce the generation of harmful by-products such as trihalomethanes. The adjustment range of sodium hypochlorite dosage must take into account factors such as influent water quality, disinfectant concentration, and disinfection pool load to avoid excessive adjustments and frequent local disinfection. When the inlet flow rate increases suddenly, the dosage must also be increased simultaneously to offset the impact of hydraulic load and stabilize the effluent disinfection effect.

[0121] During the dosage adjustment process, the sodium hypochlorite dosage determination unit will continuously track the changes in the effluent residual chlorine and the inlet flow rate, and comprehensively evaluate the disinfection effect. Once the effluent reaches the optimal disinfection state, the conventional dosage plan will be restored in time to avoid excessive chlorination. If the sodium hypochlorite dosage has been adjusted to the limit and the effluent residual chlorine still does not meet the standard, an early warning of process abnormality will be issued, prompting you to check the equipment operation and inlet water quality. By analyzing the chlorination amount and residual chlorine data during the disinfection process, it is also possible to understand the relationship between different inlet water qualities and chlorination requirements, optimize the conventional chlorination strategy, and improve the efficiency of sewage disinfection while saving drug consumption.

[0122] The contact time adjustment amount determination unit is used to determine the disinfection contact time adjustment amount according to the water inlet flow change data.

[0123] Specifically, the contact time adjustment determination unit uses an online flow meter to obtain the real-time change data of the water flow rate of the disinfection pool, and combines the operating status of the disinfection pool, such as the liquid level, the opening of the outlet valve, etc., to determine the optimal disinfection contact time adjustment, guide the optimization control of the disinfection pool operating parameters, and improve the treatment capacity of the disinfection pool while ensuring the water quality of the disinfection effluent. The specific implementation process is as follows: First, the contact time adjustment determination unit continuously monitors the changes in the inlet flow rate of the disinfection pool. The inlet flow rate is a key factor affecting the disinfection contact time. The greater the inlet flow rate, the shorter the residence time of the sewage in the disinfection pool, and the disinfection contact time is insufficient; when the inlet flow rate drops sharply, the sewage stays in the pool for too long, which not only wastes treatment space, but also produces more disinfection by-products due to the continued action of the disinfectant. Therefore, it is necessary to adjust the disinfection contact time in a timely manner according to the fluctuations in the inlet flow rate, so as to meet the disinfection needs and take into account the treatment efficiency.

[0124] Secondly, when the inlet flow rate exceeds the set range, the contact time adjustment determination unit starts the contact time optimization control program. Based on the disinfection reaction kinetics, the program comprehensively considers parameters such as inlet water quality, disinfectant concentration, and disinfection tank volume to calculate the shortest contact time required for sewage to be fully disinfected, and combines actual working conditions, such as dead zone in the tank, short flow ratio, etc., to correct and obtain the optimal contact time adjustment. That is, by extending or shortening the residence time of sewage in the disinfection tank, increasing or reducing the contact between disinfectant and sewage, and adjusting the disinfection intensity, the effluent disinfection effect is affected.

[0125] According to the contact time adjustment amount, the control system of the disinfection pool adjusts the water level in the pool and the effluent flow rate accordingly. When the inlet flow rate is large, the liquid level in the disinfection pool is lowered, the effluent flow rate is accelerated, and the retention time of sewage in the pool is shortened. Under the premise of ensuring the minimum contact time, the pool capacity utilization rate and treatment capacity are improved; when the inlet flow rate drops sharply, the liquid level in the pool is raised, the effluent flow rate is slowed down, and the retention time of sewage is extended to avoid incomplete disinfection. The adjustment range of the contact time must take into account the adjustment capacity of the disinfection pool, the fluctuation characteristics of sewage water quality and other factors to avoid excessive adjustments that cause fluctuations in effluent water quality.

[0126] During the contact time adjustment process, the contact time adjustment amount determination unit will continuously track the changes in the inlet flow rate and the quality of the disinfected effluent, and comprehensively evaluate the disinfection effect. Once the effluent reaches the optimal disinfection state, the conventional operation plan will be restored in time to avoid excessive disinfection and energy waste. If the contact time has been adjusted to the limit and the effluent disinfection still does not meet the standard, an early warning of process abnormality will be issued, prompting a prompt to check the integrity of the disinfection facility and the operation of the dosing system. By analyzing the contact time and effluent water quality data of the disinfection process, the optimal contact time under different inlet conditions can be mastered, the conventional operation strategy can be optimized, and the efficiency of sewage disinfection can be improved while saving treatment costs.

[0127] The PLC controller 1 is used to generate a control signal according to the control data.

[0128] Specifically, the LC controller 1 adopts a highly reliable industrial-grade programmable logic controller with powerful data processing, logic operation and communication capabilities. It generates corresponding control signals based on the received regulating tank control data, hydrolysis control data, anaerobic control data, oxidation control data, sedimentation tank control data, sludge concentration control data and disinfection control data. After necessary conversion and amplification, these control signals drive various actuators to perform precise regulation actions, such as starting and stopping pumps, adjusting valve openings, changing blower frequency, etc.

[0129] The control program of PLC controller 1 adopts modular design, and special control logic and algorithms are designed according to the characteristics of each processing unit. For example, in the control of the regulating tank, PLC controller 1 adjusts the flow and frequency of the water inlet pump in real time according to the changes in the water flow and water quality, and controls the dosage of the pH regulator to ensure that the hydraulic load and pH value of the regulating tank are stable within the optimal range. In oxidation control, PLC controller 1 dynamically adjusts the air volume and frequency of the blower according to the feedback of dissolved oxygen and ammonia nitrogen concentrations to achieve precise control of the aeration volume, which not only meets the oxygen demand of microorganisms, but also avoids energy waste caused by overexposure.

[0130] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0131] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A sewage treatment system based on PLC control, characterized in that: The system includes: a PLC controller, a data acquisition module and a data processing module; The data acquisition module is used to collect the detection data of each sewage treatment tank in the sewage treatment device, and the detection data includes: regulating tank detection data, hydrolysis detection data, anaerobic detection data, oxidation detection data, sedimentation tank detection data, sludge concentration detection data and disinfection detection data; The data processing module is used to analyze the detection data to obtain control data, and the control data includes: regulating tank control data, hydrolysis control data, anaerobic control data, oxidation control data, sedimentation tank control data, sludge concentration control data and disinfection control data; The PLC controller is used to generate a control signal according to the control data.

2. The system according to claim 1, characterized in that The data acquisition module includes: a regulating tank detection unit, a hydrolysis tank detection unit, an anaerobic tank detection unit, an aerobic tank detection unit, a secondary sedimentation tank detection unit, a sludge concentration tank detection unit and a disinfection tank detection unit; The regulating pool detection unit is used to monitor the regulating pool detection data of the regulating pool; The hydrolysis tank detection unit is used to monitor the hydrolysis detection data of the hydrolysis acidification process; The anaerobic tank detection unit is used to monitor the anaerobic detection data of the anaerobic fermentation process; The aerobic tank detection unit is used to monitor the oxidation detection data of the aerobic biochemical process; The secondary sedimentation tank detection unit is used to monitor the sedimentation tank detection data of the mud-water separation process; The sludge concentration tank detection unit is used to monitor the sludge concentration detection data of the sludge concentration process; The disinfection pool detection unit is used to monitor the disinfection detection data during the disinfection process.

3. The system according to claim 2, characterized in that The data processing module includes: a regulating tank data processing unit, a hydrolysis tank data processing unit, an anaerobic tank data processing unit, an aerobic tank data processing unit, a secondary sedimentation tank data processing unit, a sludge concentration tank data processing unit and a disinfection tank data processing unit; The regulating pool data processing unit is used to analyze the regulating pool detection data to obtain the regulating pool control data, and the regulating pool control data includes booster pump frequency data, alkali solution dosage data and hydraulic retention time; The hydrolysis tank data processing unit is used to analyze the hydrolysis detection data to obtain the hydrolysis regulation data, wherein the hydrolysis regulation data includes the pH value and the temperature of the hydrolysis tank; The anaerobic tank data processing unit is used to analyze the anaerobic detection data to obtain the anaerobic regulation data, wherein the anaerobic regulation data includes the anaerobic tank water level regulation data and the deodorization fan regulation power; The aerobic pool data processing unit is used to analyze the oxidation detection data to obtain the oxidation control data, wherein the oxidation control data includes the oxygen supply fan adjustment power data and the aerobic pool water level adjustment data; The secondary sedimentation tank data processing unit is used to analyze the sedimentation tank detection data to obtain the sedimentation tank control data, and the sedimentation tank control data includes the sludge pump start and stop time, the sludge pump start and stop frequency, the return pump start and stop time and the return pump start and stop frequency; The sludge concentration tank data processing unit is used to analyze the sludge concentration detection data to obtain the sludge concentration control data, wherein the sludge concentration control data includes sludge concentration time adjustment data and flocculant addition amount adjustment data; The disinfection pool data processing unit is used to analyze the disinfection detection data to obtain the disinfection control data, which includes the amount of sodium hypochlorite added and the disinfection contact time adjustment amount.

4. The system according to claim 3, characterized in that The regulating tank detection data includes inlet flow data, inlet pH value and hydrolysis tank water level data; the regulating tank data processing unit includes: a lift pump data adjustment unit, a regulating tank alkali solution addition adjustment unit and a hydraulic retention time adjustment unit; The lift pump data adjustment unit is used to predict the water level change trend in the regulating tank according to the water inlet flow data, and determine the lift pump frequency data according to the water level change trend; The regulating tank alkali solution addition regulating unit is used to calculate the alkali solution addition amount data of the regulating tank according to the influent pH value and the hydrolysis tank water level data; The hydraulic retention time adjustment unit is used to determine the hydraulic retention time of the regulating tank according to the influent water quality and the gate opening.

5. The system according to claim 3, characterized in that The hydrolysis control data includes the amount of alkali solution added to the hydrolysis tank and the power of the heating device; the hydrolysis tank data processing unit includes: a hydrolysis tank temperature adjustment unit and a hydrolysis tank alkali solution addition adjustment unit; The hydrolysis tank alkali solution dosage adjustment unit is used to determine the amount of alkali solution added to the hydrolysis tank according to the pH value of the hydrolysis tank; The hydrolysis tank temperature adjustment unit is used to determine the power of the heating device according to the temperature of the hydrolysis tank.

6. The system according to claim 3, characterized in that The anaerobic detection data includes: ammonia nitrogen value and anaerobic tank water level data; the anaerobic tank data processing unit includes: a deodorizing fan adjustment unit and a water level adjustment unit; The deodorizing fan adjusting unit is used to determine the adjusting power of the deodorizing fan according to the ammonia nitrogen value; The water level regulating unit is used to determine the anaerobic tank water level regulating data according to the anaerobic tank water level data.

7. The system according to claim 3, characterized in that The oxidation detection data includes the dissolved oxygen concentration in the oxidation tank and the water level in the aerobic tank; the aerobic tank data processing unit includes: an oxygen supply fan power adjustment unit and an aerobic tank water level adjustment unit; The oxygen supply fan power adjustment unit is used to determine the oxygen supply fan adjustment power data according to the dissolved oxygen concentration in the oxidation tank; The aerobic pool water level regulating unit is used to determine the aerobic pool water level regulating data according to the aerobic pool water level.

8. The system according to claim 3, characterized in that The sedimentation tank detection data includes the mud-water interface height and the effluent suspended solids concentration; the secondary sedimentation tank data processing unit includes: a return pump adjustment amount determination unit and a sludge pump adjustment amount determination unit; The return pump adjustment amount determination unit is used to determine the return pump start and stop time and the return pump start and stop frequency of the sludge return pump according to the mud-water interface height and the effluent suspended matter concentration; The sludge pump adjustment amount determination unit is used to determine the sludge pump start and stop time and the sludge pump start and stop frequency of the residual sludge pump according to the mud-water interface height and the effluent suspended matter concentration.

9. The system according to claim 3, characterized in that The sludge concentration detection data includes the sludge solid content; the sludge concentration tank data processing unit includes: a concentration time adjustment amount determination unit and a flocculant adjustment amount determination unit The concentration time adjustment amount determination unit is used to determine the sludge concentration time adjustment data according to the sludge solid content; The flocculant addition amount determination unit is used to determine the flocculant addition amount adjustment data according to the sludge solid content.

10. The system according to claim 3, characterized in that The disinfection detection data includes the residual chlorine concentration of the effluent and the change data of the inlet flow rate; the disinfection pool data processing unit includes: a sodium hypochlorite dosage determination unit and a contact time adjustment amount determination unit The sodium hypochlorite dosage determination unit is used to determine the sodium hypochlorite dosage according to the residual chlorine concentration of the effluent; The contact time adjustment amount determination unit is used to determine the disinfection contact time adjustment amount according to the water inlet flow change data.

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