Intelligent dosing management system and method for sewage treatment
By designing an intelligent dosing management system for sewage treatment, the turbidity and drug flow rate of the treated water are monitored in real time, and the operating time of the dosing pump is optimized. The problems of frequent start and stop of dosing pumps, changes in drug flow rate and drug waste in the existing system are solved, and more efficient sewage treatment effects are achieved.
Patent Information
- Application Number
- CN202510006227.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-03
- Publication Date
- 2025-04-29
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In sewage treatment, the existing intelligent dosing management system has problems such as frequent start and stop of dosing pumps, resulting in shortening of service life, changes in drug flow rate affecting treatment effects, drug waste and water quality deterioration.
An intelligent dosing management system was designed, including a treatment water tank monitoring module, a drug flow rate monitoring module, a dosing pipeline analysis module and a dosing pump operation time analysis module. By monitoring the turbidity and drug flow rate of the treated water in real time, the estimated operation time of the dosing pump and the impact coefficient of the drug flow rate are analyzed, and the operation time of the dosing pump is optimized.
Through the intelligent dosing management system, the dosing errors in sewage treatment are reduced, the service life of the dosing pump is extended, the drug flow rate is optimized, the impact of drug waste and water quality is reduced, and the sewage treatment effect is improved.
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Figure CN119898833A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent dosing management, and in particular to an intelligent dosing management system and method for sewage treatment. Background Art
[0002] Sewage treatment is one of the important technologies for maintaining urban environmental sanitation and public health. It is responsible for treating urban domestic sewage and removing harmful pollutants to ensure that the effluent quality meets the discharge standards. The main pollutants in domestic sewage come from detergents, fertilizers, pesticides, etc. used in human life and industrial production. Once they enter the water body, it will lead to eutrophication of the water body. Eutrophication will cause the massive reproduction of algae in the water body, destroy the balance of the aquatic ecosystem, affect water quality, and even endanger the survival of aquatic species.
[0003] In order to reduce the content of pollutants in sewage, traditional treatment methods usually include biological enhanced phosphorus removal and coagulation sedimentation phosphorus removal processes. Chemical treatment is adopted by most domestic sewage treatment plants due to its simple operation and significant effect. In the coagulation sedimentation process, coagulants are usually added to sewage as agents to form precipitates by combining with phosphorus in sewage, and then the phosphorus is removed by precipitation.
[0004] Existing intelligent dosing management systems often control the start and stop of dosing through real-time turbidity monitoring of treated water. On the one hand, since the treated water tank is in a continuous process of water inflow and drainage, the turbidity of the treated water will continue to fluctuate, and the frequent start and stop of the dosing pump will greatly reduce the service life of the dosing pump; on the other hand, due to the complexity of the entire system, the pressure in the dosing pipeline will continue to change, thereby driving the change in the drug flow rate, and it is difficult for the system to take into account the impact of the drug flow rate on the sewage treatment effect; on the other hand, even if the change in the drug flow rate is taken into account, the inertia and gravity of the drug will cause the drug to continue to remain in the treated water tank after the treated water has met the water quality requirements, resulting in drug waste and deterioration of the treated water quality.
[0005] Therefore, people need an intelligent dosing management system and method for sewage treatment to solve the above problems. Summary of the invention
[0006] The object of the present invention is to provide an intelligent dosing management system and method for sewage treatment to solve the problems raised in the above background technology.
[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent dosing management system for sewage treatment, the system comprising: a treatment water tank monitoring module, a drug flow rate monitoring module, a database, a dosing pipeline analysis module and a dosing pump operation time analysis module; The turbidity of the treated water is monitored by the treated water tank monitoring module, and the estimated operation time of the dosing pump is analyzed; The drug flow rate monitoring module monitors the drug flow rate in the drug adding pipeline in real time, analyzes the drug flow rate fluctuation amplitude in the drug adding pipeline and calculates the drug flow rate influence coefficient; Analyze the length and radius of the dosing pipeline and the influence coefficient of the dosing pipeline by using the dosing pipeline analysis module; The optimal operation time of the dosing pump is analyzed by the dosing pump operation analysis module.
[0008] Furthermore, the treatment water tank monitoring module includes a turbidity sensor. The system monitors and records the turbidity of the treated water in the treatment water tank in real time through the turbidity sensor, and calculates the estimated operation time of the dosing pump considering the turbidity change rate of the treated water; in the system, the raw water tank transmits the raw water to the treatment water tank through the treatment water pipeline through the raw water pump, and the medicine box transmits the medicine to the treatment water tank through the dosing pipeline through the dosing pump. Turbidimeter is an important water quality monitoring instrument. Its working principle is based on optical principles. By measuring the light in the water body, the turbidity of the water body can be calculated. Turbidimeter has the advantages of fast, accurate and stable measurement, and can be widely used in various water body monitoring fields. For different water body environments, the turbidity meter needs to be calibrated and adjusted to adapt to different types of sewage.
[0009] Furthermore, the drug flow rate monitoring module includes an ultrasonic flow rate sensor. The system monitors the drug flow rate in the drug dosing pipeline in real time through the ultrasonic flow rate sensor, analyzes the fluctuation amplitude of the drug dosing pipeline flow rate and calculates the drug flow rate influence coefficient. Ultrasonic flow measurement is the only non-invasive flow measurement technology. It does not require cutting the pipeline to install the flow meter. It is almost maintenance-free and can be used as a portable flow measurement device. Ultrasonic flow meters are high-precision and reliable devices for measuring the flow rate of fluids in pipes or ducts. The time difference principle works best in clean liquids, while the Doppler principle works best in dirty liquids. Ultrasonic flow meters have many advantages, including high precision, non-invasiveness, and a wide range and versatility. Therefore, considering that some drugs are corrosive, the system uses ultrasonic flow meters to monitor the drug flow rate because ultrasonic flow meters can accurately measure the flow rate of liquids and gases without contacting the measured fluid.
[0010] Furthermore, the dosing pipeline analysis module calls the pipeline information of the dosing pipeline through the database, and the pipeline information includes the length of the dosing pipeline and the radius of the dosing pipeline. The dosing pipeline influence coefficient is analyzed considering the length of the dosing pipeline and the radius of the dosing pipeline. Since the length of the dosing pipeline and the radius of the dosing pipeline will affect the pipeline pressure, thereby affecting the flow rate of the drug in the pipeline without the influence of external force, the length of the dosing pipeline and the radius of the dosing pipeline are considered here to analyze the dosing pipeline influence coefficient.
[0011] Furthermore, the dosing pump operation time analysis module comprehensively considers the drug flow rate influence coefficient, the dosing pipeline flow rate and the dosing pipeline influence coefficient, analyzes the optimal operation time of the dosing pump, and comprehensively considers the drug flow rate influence coefficient, the dosing pipeline flow rate and the dosing pipeline influence coefficient, thereby enhancing the comprehensiveness of intelligent dosing management.
[0012] An intelligent dosing management method for sewage treatment comprises the following steps: S1: When the dosing pump starts to run, record the running time of the dosing pump and the turbidity of the treated water in the treatment water tank, and analyze the estimated running time of the dosing pump considering the turbidity change rate of the treated water; S2: Real-time monitoring of the flow rate of the dosing pipeline, analysis of the fluctuation range of the flow rate of the dosing pipeline, and calculation of the drug flow rate influence coefficient; S3: call the length and radius of the dosing pipeline from the database to analyze the influence coefficient of the dosing pipeline; S4: Comprehensively consider the estimated operation time of the dosing pump, the drug flow rate influence coefficient and the dosing pipeline influence coefficient, analyze the optimal operation time of the dosing pump, and when the operation time of the dosing pump reaches the optimal time, control the dosing pump to shut down.
[0013] Further, in step S1, when the dosing pump starts running, the system records the initial turbidity of the treated water in the treated water tank as A through the turbidity sensor, and detects that the current turbidity of the treated water is A. T , the turbidity of the pre-treated water at time t is A T_t , where t is the time interval for monitoring the turbidity of the treated water set by the system, and T is the time from when the dosing pump starts to when the turbidity of the treated water reaches A T The system calls the database to set the required turbidity of the treated water as a. The required turbidity is the required turbidity value for judging whether the treated water is adequately dosed. Considering the turbidity change rate of the treated water, the estimated operation time of the dosing pump B is calculated: ; Turbidimeters measure quickly, accurately and stably, and can be widely used in various water monitoring fields, such as rivers, lakes, industrial wastewater, etc. They can detect abnormal turbidity in water bodies in a timely manner and facilitate the prediction of its future changing trends. They have good prospects for use in urban sewage treatment.
[0014] Further, in step S2, the system monitors the flow rate of the dosing pipeline in real time through an ultrasonic flow rate sensor. The ultrasonic flow meter has many advantages, including high precision, non-invasiveness, wide range and versatility. Therefore, considering that some drugs are corrosive, and since the ultrasonic flow meter can accurately measure the flow rate of liquids and gases without contacting the measured fluid, the system uses an ultrasonic flow meter to monitor the drug flow rate, analyzes the fluctuation amplitude of the dosing pipeline flow rate, and calculates the drug flow rate influence coefficient. The current flow rate is Q. The system queries the highest value of the dosing pipeline flow rate in the dosing process during this dosing process, which is Q within the time T from the start of the dosing pump. max The minimum flow rate of the dosing pipeline is Q min , calculate the drug flow rate influence coefficient K Q : .
[0015] Further, in step S3, the system calls the dosing pipeline length C, the dosing pipeline radius D and the treatment water tank radius E from the database, and analyzes the dosing pipeline influence coefficient K considering the dosing pipeline length and the dosing pipeline radius E : ; Among them, K C is the weight of the influence of the dosing pipeline length on the influence coefficient of the dosing pipeline, K D is the influence weight of the dosing pipeline radius on the dosing pipeline influence coefficient. In large-scale sewage treatment projects, due to the large project and complex pipeline characteristics, considering the characteristics of the pipeline itself to manage intelligent dosing will greatly enhance the stability of the system.
[0016] In step S4, the system comprehensively considers the estimated operation time B of the dosing pump, the drug flow rate influence coefficient and the dosing pipeline influence coefficient, and analyzes the optimal operation time G of the dosing pump: ; When the dosing pump operation time reaches the optimal time G, the system turns off the dosing pump, and the drugs in the pipeline are allowed to flow to the treatment water tank due to inertia and gravity.
[0017] Compared with the prior art, the beneficial effects achieved by the present invention are: the system reduces the error of sewage treatment through intelligent dosing management and controls the amount of dosing in sewage treatment. On the one hand, the system reduces the risk of frequent start and stop of the dosing pump by analyzing the turbidity of the treated water in the treatment water tank and calculating the estimated operation time of the dosing pump. On the one hand, due to the complexity of the entire system, the pressure of the dosing pipeline will change continuously, thereby driving the change of the drug flow rate. The system takes into account the influence of the drug flow rate on the sewage treatment effect, optimizes the allowable time of the dosing pump, and improves the treatment effect of the treated water. On the other hand, the system takes into account the change of the drug flow rate, considering that the inertia and gravity of the drug will also cause the drug to continue to stay in the treatment water tank after the treated water has reached the water quality requirements, and reduces the influence of the drug flowing into the treatment water tank without external force by analyzing the length and radius of the dosing pipeline. The present invention comprehensively considers the drug flow rate and pipeline characteristics, reduces the error of the dosing amount in sewage treatment, and enhances the comprehensiveness of intelligent dosing management. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural diagram of an intelligent dosing management system for sewage treatment according to the present invention; Figure 2 The present invention is a flow chart of an intelligent dosing management method for sewage treatment. DETAILED DESCRIPTION
[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0020] See also Figure 1 and Figure 2 , the present invention provides a technical solution: an intelligent dosing management system for sewage treatment, the system includes: a treatment water tank monitoring module, a drug flow rate monitoring module, a database, a dosing pipeline analysis module and a dosing pump operation time analysis module; The turbidity of the treated water is monitored by the treated water tank monitoring module, and the estimated operation time of the dosing pump is analyzed; The drug flow rate monitoring module monitors the drug flow rate in the drug adding pipeline in real time, analyzes the drug flow rate fluctuation amplitude in the drug adding pipeline and calculates the drug flow rate influence coefficient; Analyze the length and radius of the dosing pipeline and the influence coefficient of the dosing pipeline by using the dosing pipeline analysis module; The optimal operation time of the dosing pump is analyzed by the dosing pump operation analysis module.
[0021] The treatment water tank monitoring module includes a turbidity sensor. The system monitors and records the turbidity of the treated water in the treatment water tank in real time through the turbidity sensor, and calculates the estimated operation time of the dosing pump considering the turbidity change rate of the treated water; in the system, the raw water tank transmits the raw water to the treatment water tank through the treatment water pipeline through the raw water pump, and the medicine box transmits the medicine to the treatment water tank through the dosing pipeline through the dosing pump. Turbidimeter is an important water quality monitoring instrument. Its working principle is based on optical principles. By measuring the light in the water body, the turbidity of the water body can be calculated. Turbidimeter has the advantages of fast, accurate and stable measurement, and can be widely used in various water body monitoring fields. For different water body environments, the turbidity meter needs to be calibrated and adjusted to adapt to different types of sewage.
[0022] The drug flow rate monitoring module includes an ultrasonic flow rate sensor. The system monitors the drug flow rate in the drug dosing pipeline in real time through the ultrasonic flow rate sensor, analyzes the fluctuation amplitude of the flow rate in the drug dosing pipeline, and calculates the drug flow rate influence coefficient. Ultrasonic flow measurement is the only non-invasive flow measurement technology. There is no need to cut the pipeline to install the flow meter. It is almost maintenance-free and can be used as a portable flow measurement device. Ultrasonic flow meters are high-precision and reliable devices for measuring the flow rate of fluids in pipes or ducts. The time difference principle works best in clean liquids, while the Doppler principle works best in dirty liquids. Ultrasonic flow meters have many advantages, including high precision, non-invasiveness, and a wide range and versatility. Therefore, considering that some drugs are corrosive, the system uses ultrasonic flow meters to monitor the drug flow rate because ultrasonic flow meters can accurately measure the flow rate of liquids and gases without contacting the measured fluid.
[0023] The dosing pipeline analysis module calls the pipeline information of the dosing pipeline through the database, and the pipeline information includes the length of the dosing pipeline and the radius of the dosing pipeline. The dosing pipeline influence coefficient is analyzed considering the length of the dosing pipeline and the radius of the dosing pipeline. Since the length of the dosing pipeline and the radius of the dosing pipeline will affect the pipeline pressure, thereby affecting the flow rate of the drug in the pipeline without the influence of external force, the length of the dosing pipeline and the radius of the dosing pipeline are considered here to analyze the dosing pipeline influence coefficient.
[0024] The dosing pump operation time analysis module comprehensively considers the drug flow rate influence coefficient, the dosing pipeline flow rate and the dosing pipeline influence coefficient, analyzes the optimal operation time of the dosing pump, and comprehensively considers the drug flow rate influence coefficient, the dosing pipeline flow rate and the dosing pipeline influence coefficient, thereby enhancing the comprehensiveness of intelligent dosing management.
[0025] An intelligent dosing management method for sewage treatment comprises the following steps: S1: When the dosing pump starts to run, record the running time of the dosing pump and the turbidity of the treated water in the treatment water tank, and analyze the estimated running time of the dosing pump considering the turbidity change rate of the treated water; S2: Real-time monitoring of the flow rate of the dosing pipeline, analysis of the fluctuation range of the flow rate of the dosing pipeline, and calculation of the drug flow rate influence coefficient; S3: call the length and radius of the dosing pipeline from the database to analyze the influence coefficient of the dosing pipeline; S4: Comprehensively consider the estimated operation time of the dosing pump, the drug flow rate influence coefficient and the dosing pipeline influence coefficient, analyze the optimal operation time of the dosing pump, and when the operation time of the dosing pump reaches the optimal time, control the dosing pump to shut down.
[0026] In step S1, when the dosing pump starts running, the system records the initial turbidity of the treated water in the treated water tank as A through the turbidity sensor, and detects that the current turbidity of the treated water is A. T , the turbidity of the pre-treated water at time t is A T_t , where t is the time interval for monitoring the turbidity of the treated water set by the system, and T is the time from when the dosing pump starts to when the turbidity of the treated water reaches A T The system calls the database to set the required turbidity of the treated water as a. The required turbidity is the required turbidity value for judging whether the treated water is adequately dosed. Considering the turbidity change rate of the treated water, the estimated operation time of the dosing pump B is calculated: ; Turbidimeters measure quickly, accurately and stably, and can be widely used in various water monitoring fields, such as rivers, lakes, industrial wastewater, etc. They can detect abnormal turbidity in water bodies in a timely manner and facilitate the prediction of its future changing trends. They have good prospects for use in urban sewage treatment.
[0027] In step S2, the system monitors the flow rate of the dosing pipeline in real time through an ultrasonic flow rate sensor. Ultrasonic flow meters have many advantages, including high precision, non-invasiveness, wide range and versatility. Therefore, considering that some drugs are corrosive, and since ultrasonic flow meters can accurately measure the flow rate of liquids and gases without contacting the measured fluid, the system uses ultrasonic flow meters to monitor the drug flow rate, analyzes the fluctuation amplitude of the dosing pipeline flow rate, and calculates the drug flow rate influence coefficient. The current flow rate is Q. The system queries the highest value of the dosing pipeline flow rate in the dosing process during this dosing process, which is Q within T time from the start of the dosing pump. max The minimum flow rate of the dosing pipeline is Q min , calculate the drug flow rate influence coefficient K Q : .
[0028] In step S3, the system calls the dosing pipeline length C, the dosing pipeline radius D and the treatment water tank radius E from the database, and analyzes the dosing pipeline influence coefficient K considering the dosing pipeline length and the dosing pipeline radius E : ; Among them, K C is the weight of the influence of the dosing pipeline length on the influence coefficient of the dosing pipeline, K D is the influence weight of the dosing pipeline radius on the dosing pipeline influence coefficient. In large-scale sewage treatment projects, due to the large project and complex pipeline characteristics, considering the characteristics of the pipeline itself to manage intelligent dosing will greatly enhance the stability of the system.
[0029] In step S4, the system comprehensively considers the estimated operation time B of the dosing pump, the drug flow rate influence coefficient and the dosing pipeline influence coefficient, and analyzes the optimal operation time G of the dosing pump: ; When the dosing pump operation time reaches the optimal time G, the system turns off the dosing pump, and the drugs in the pipeline are allowed to flow to the treatment water tank due to inertia and gravity.
[0030] Embodiment 1: The system monitors the flow rate of the dosing pipeline in real time through an ultrasonic flow rate sensor. The ultrasonic flow meter has many advantages, including high precision, non-invasiveness, wide range and versatility. Therefore, considering that some drugs are corrosive, and since the ultrasonic flow meter can accurately measure the flow rate of liquids and gases without contacting the measured fluid, the system uses an ultrasonic flow meter to monitor the drug flow rate, analyzes the fluctuation amplitude of the dosing pipeline flow rate, and calculates the drug flow rate influence coefficient. The current flow rate is Q=10. The system queries the dosing process. From the start of the dosing pump, the highest value of the dosing pipeline flow rate is Q for a period of time of T=6. max is 10.1, and the minimum flow rate of the dosing pipeline is Q min is 9.9, considering the turbidity change rate of the treated water, the estimated operation time of the dosing pump is calculated to be 20, and the drug flow rate influence coefficient K is calculated Q : .
[0031] Furthermore, the system calls the dosing pipe length C as 100, the dosing pipe radius D as 0.8 and the treatment water tank radius E as 10 from the database, and considers the dosing pipe length and dosing pipe radius to analyze the dosing pipe influence coefficient K E : ; Among them, K C is the weight of the influence of the dosing pipeline length on the influence coefficient of the dosing pipeline, which is set to 0.001, KD is the influence weight of the dosing pipeline radius on the dosing pipeline influence coefficient, which is set to 0.5. In large-scale sewage treatment projects, due to the large project size and complex pipeline characteristics, managing intelligent dosing by considering the characteristics of the pipeline itself will greatly enhance the stability of the system.
[0032] The system comprehensively considers the estimated operation time of the dosing pump, the influence coefficient of the drug flow rate and the influence coefficient of the dosing pipeline, and analyzes the optimal operation time G of the dosing pump: ; When the dosing pump operating time reaches the optimal time G=9.115, the system shuts down the dosing pump. At this time, the drugs in the pipeline are allowed to flow to the treatment water tank due to inertia and gravity. Taking the drug flow rate and pipeline characteristics into consideration, the error of the dosing amount in sewage treatment is reduced, and the comprehensiveness of intelligent dosing management is enhanced.
[0033] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.
Claims
1. An intelligent dosing management system for sewage treatment, characterized in that: The system includes: a treatment water tank monitoring module, a drug flow rate monitoring module, a database, a drug dosing pipeline analysis module and a drug dosing pump operation time analysis module; The turbidity of the treated water is monitored by the treated water tank monitoring module, and the estimated operation time of the dosing pump is analyzed; The drug flow rate monitoring module monitors the drug flow rate in the drug adding pipeline in real time, analyzes the drug flow rate fluctuation amplitude in the drug adding pipeline and calculates the drug flow rate influence coefficient; Analyze the length and radius of the dosing pipeline and the influence coefficient of the dosing pipeline by using the dosing pipeline analysis module; The optimal operation time of the dosing pump is analyzed by the dosing pump operation analysis module.
2. The intelligent dosing management system for sewage treatment according to claim 1 is characterized by: The treatment water tank monitoring module includes a turbidity sensor. The system monitors and records the turbidity of the treated water in the treatment water tank in real time through the turbidity sensor, and calculates the estimated operation time of the dosing pump considering the turbidity change rate of the treated water. In the system, the raw water tank transmits the raw water to the treatment water tank through the treatment water pipeline through the raw water pump, and the medicine box transmits the medicine to the treatment water tank through the dosing pipeline through the dosing pump.
3. The intelligent dosing management system for sewage treatment according to claim 1 is characterized by: The drug flow rate monitoring module includes an ultrasonic flow rate sensor. The system monitors the drug flow rate in the drug adding pipeline in real time through the ultrasonic flow rate sensor, analyzes the fluctuation amplitude of the flow rate in the drug adding pipeline, and calculates the drug flow rate influence coefficient.
4. The intelligent dosing management system for sewage treatment according to claim 1 is characterized by: The dosing pipeline analysis module calls the pipeline information of the dosing pipeline through the database, the pipeline information includes the length of the dosing pipeline and the radius of the dosing pipeline, and analyzes the dosing pipeline influence coefficient considering the length of the dosing pipeline and the radius of the dosing pipeline.
5. The intelligent dosing management system for sewage treatment according to claim 1 is characterized by: The dosing pump operation time analysis module comprehensively considers the drug flow rate influence coefficient, the dosing pipeline flow rate and the dosing pipeline influence coefficient to analyze the optimal operation time of the dosing pump.
6. An intelligent dosing management method for sewage treatment, characterized in that: The following steps are involved: S1: When the dosing pump starts to run, record the running time of the dosing pump and the turbidity of the treated water in the treatment water tank, and analyze the estimated running time of the dosing pump considering the turbidity change rate of the treated water; S2: Real-time monitoring of the flow rate of the dosing pipeline, analysis of the fluctuation range of the flow rate of the dosing pipeline, and calculation of the drug flow rate influence coefficient; S3: call the length and radius of the dosing pipeline from the database to analyze the influence coefficient of the dosing pipeline; S4: Comprehensively consider the estimated operation time of the dosing pump, the drug flow rate influence coefficient and the dosing pipeline influence coefficient, analyze the optimal operation time of the dosing pump, and when the operation time of the dosing pump reaches the optimal time, control the dosing pump to shut down.
7. The intelligent dosing management method for sewage treatment according to claim 6 is characterized in that: In step S1, when the dosing pump starts running, the system records the initial turbidity of the treated water in the treated water tank as A through the turbidity sensor, and detects that the current turbidity of the treated water is A. T , the turbidity of the pre-treated water at time t is A T_t , where t is the time interval for monitoring the turbidity of the treated water set by the system, and T is the time from when the dosing pump starts to when the turbidity of the treated water reaches A T The system calls the database to set the required turbidity of the treated water as a. The required turbidity is the required turbidity value for judging whether the treated water is adequately dosed. Considering the turbidity change rate of the treated water, the estimated operation time of the dosing pump B is calculated: 。 8. The intelligent dosing management method for sewage treatment according to claim 7 is characterized in that: In step S2, the system monitors the flow rate of the dosing pipeline in real time through the ultrasonic flow rate sensor, analyzes the fluctuation amplitude of the dosing pipeline flow rate and calculates the drug flow rate influence coefficient. The current flow rate is Q. The system queries the highest flow rate of the dosing pipeline in the dosing process from the start of the dosing pump to the time T. Q max The minimum flow rate of the dosing pipeline is Q min , calculate the drug flow rate influence coefficient K Q : 。 9. The intelligent dosing management method for sewage treatment according to claim 8 is characterized in that: In step S3, the system calls the dosing pipeline length C, the dosing pipeline radius D and the treatment water tank radius E from the database, and analyzes the dosing pipeline influence coefficient K considering the dosing pipeline length and the dosing pipeline radius E : ; Among them, K C is the weight of the influence of the dosing pipeline length on the influence coefficient of the dosing pipeline, K D It is the influence weight of the radius of the dosing pipeline on the influence coefficient of the dosing pipeline.
10. The intelligent dosing management method for sewage treatment according to claim 9 is characterized in that: In step S4, the system comprehensively considers the estimated operation time B of the dosing pump, the drug flow rate influence coefficient and the dosing pipeline influence coefficient, and analyzes the optimal operation time G of the dosing pump: ; When the dosing pump operation time reaches the optimal time G, the system turns off the dosing pump, and the drugs in the pipeline are allowed to flow to the treatment water tank due to inertia and gravity.