Environment-friendly sewage treatment method and system

Abstract

The invention relates to the technical field of sewage treatment, in particular to an environment-friendly sewage treatment method and system.The method comprises the following steps that sensor data of flow and pollutant concentration are received, flow velocity distribution and pressure loss of data points are calculated, and a flow characteristic analysis result is obtained; and on the basis of the flow characteristic analysis result, pump speed data and valve opening degree data are adjusted, flow speed setting is carried out, and flow speed adjusting parameters are generated. According to the invention, sensor data of flow and pollutant concentration are received and flow velocity distribution and pressure loss of data points are calculated, so that responsiveness and accuracy of sewage treatment are improved, the pump speed and the valve are adjusted according to an analysis result, fine flow velocity control is realized, and dynamic adjustment can be realized according to real-time data. The adaptive capacity is improved, and the dependence on manual intervention is reduced. And the method adapts to seasonal and daily change requirements through mode analysis, so that the strategy is more flexible and effective.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to an environmentally friendly sewage treatment method and system. Background Art

[0002] The field of wastewater treatment technology involves a variety of methods and processes designed to remove harmful substances from municipal and industrial water so that the water can safely re-enter the natural environment or be reused. The technology mainly includes physical, chemical and biological treatment processes to remove suspended solids, organic pollutants, nutrients such as nitrogen and phosphorus, and potential pathogens from water.

[0003] However, existing sewage treatment technologies use fixed processes and lack flexibility in the face of changing treatment needs, especially when dealing with rapidly changing industrial emissions or fluctuations in flow and pollution loads under extreme weather conditions. The treatment effect and resource utilization efficiency are often unsatisfactory. At the same time, the lack of real-time monitoring and automatic adjustment mechanisms makes the facilities slow to respond to emergencies and unable to adjust strategies in time to adapt to new needs, which may lead to increased environmental risks and treatment costs. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an environmentally friendly sewage treatment method and system.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme, an environmentally friendly sewage treatment method, comprising the following steps: Receive sensor data of flow rate and pollutant concentration, calculate flow velocity distribution and pressure loss of data points, and obtain flow characteristic analysis results; based on the flow characteristic analysis results, adjust pump speed data and valve opening data, perform flow velocity setting, and generate flow velocity adjustment parameters; According to the flow rate adjustment parameters, the flow rate and the valve are adjusted in real time to verify whether the operation is in accordance with the predetermined parameters, whether the flow rate and concentration need to be adjusted again, and generate a self-optimization result; Receive sensor data of flow and pollutant concentration, analyze pattern changes in the data, match seasonal and daily changes, and generate optimization parameters; apply the optimization parameters, analyze the optimization effect, and generate dynamic adjustment optimization results; According to the dynamic adjustment optimization results, the energy consumption and efficiency data are analyzed, compared with standard performance indicators, energy-saving improvement points are determined, adjustment measures are implemented, and performance optimization results are generated.

[0006] Preferably, the steps of obtaining the flow characteristic analysis results are: Receiving traffic and pollutant concentrations Sensor data, record the sensor information, and obtain the original data set; Based on the original data set, calculate the flow velocity for each data point and pressure loss , the calculation formula is: ; and ; in, is the flow conversion coefficient, is the cross-sectional area of ​​the pipe, is the fluid friction coefficient, is the pipe length, is the acceleration due to gravity, is the pipe diameter; Based on the flow velocity and pressure loss, the fluid dynamic characteristics and the overall dynamic behavior of the fluid are analyzed to obtain the flow characteristics analysis results.

[0007] Preferably, the steps of obtaining the flow rate adjustment parameter are: Based on the flow characteristics analysis results, analyze the relationship between flow velocity and pressure loss, determine the influence of pump speed and valve opening on fluid dynamic characteristics, determine the ratio of pump speed increase or decrease and the angle of valve adjustment, and form an adjustment plan; According to the adjustment plan, the pump speed of the pump station and the valve opening of the pipeline are adjusted one by one, and the adjusted pump speed and valve opening data are obtained to form an adjusted set value record; Based on the adjusted set value record, the adjusted flow rate is recalculated to verify whether the flow rate at each adjustment point meets the designed processing requirements, and the flow rate adjustment parameters are obtained.

[0008] Preferably, the steps of obtaining the self-optimization result are: Performing real-time adjustment of the pump speed and valve opening according to the flow rate adjustment parameters, recording the adjusted pump speed data and valve opening data, and forming an adjustment implementation record; Based on the implementation adjustment records, the real-time impact of pump speed and valve opening on flow rate and concentration is recalculated, and the calculation formula is: ; in, Indicates the deviation value, is the flow rate, is the concentration, is the target flow rate, is the target concentration; The deviation value is analyzed to verify whether the flow rate and concentration meet the set operating parameters, and a self-optimization result is obtained.

[0009] Preferably, the step of obtaining the optimization parameters is: Receive flow and pollutant concentration data through sensors, record the data readings at each time point, verify the completeness of each data point, and obtain a preliminary data set; Based on the preliminary data set, trend analysis and pattern recognition are performed to identify periodic pattern changes in the data, including daily changes and seasonal fluctuations, and obtain pattern recognition results; According to the pattern recognition results, it is analyzed which pattern changes are associated with the processing requirements, and the parameters are adjusted to generate optimized parameters.

[0010] Preferably, the steps of obtaining the dynamic adjustment optimization result are: Applying the optimization parameters, obtaining adjusted operation data, and obtaining adjustment implementation records; Based on the adjustment implementation records, analyze the impact of pump speed adjustment and valve opening adjustment on sewage treatment efficiency, analyze the performance difference before and after the adjustment, and obtain a performance analysis report; Based on the performance analysis report, determine which adjustment measures are effective and generate dynamic adjustment optimization results.

[0011] Preferably, the steps of obtaining the performance optimization result are: According to the dynamic adjustment optimization results, analyzing and recording the energy consumption and efficiency data under each working condition, including the operation time and consumption index, to form an energy efficiency data record; Based on the energy efficiency data records, the performance data after each adjustment is compared with the established standard performance indicators to calculate the performance deviation. The calculation formula is: ; in, represents the average performance deviation, is the performance data recorded after the ith adjustment, For the preset standard performance indicators, Indicates the total number of adjustments; According to the average performance deviation, the energy saving potential and efficiency improvement points in each adjustment are analyzed, and adjustment measures are formulated according to the efficiency improvement points to obtain performance optimization results.

[0012] The present invention provides a sewage treatment system, comprising: The flow characteristic analysis module receives data from the flow sensor and the pollutant concentration sensor, calculates the flow velocity distribution and the pressure loss, obtains the flow characteristic analysis results, and then adjusts the pump speed data and the valve opening according to the flow characteristic analysis results to generate the flow velocity adjustment parameters; The real-time adjustment verification module performs real-time adjustment of flow rate and valve according to the flow rate adjustment parameters, verifies the accuracy of the adjustment by comparing the predetermined parameters with the real-time data, and readjusts if there is a deviation to generate a self-optimization result; The dynamic optimization analysis module receives flow and pollutant concentration data again, analyzes pattern changes, matches seasonal and daily demand changes, generates optimization parameters, and applies the parameters. By comparing energy consumption and efficiency data with standard performance indicators, it determines energy-saving improvement points and implements adjustment measures.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, sensor data of flow rate and pollutant concentration are received and the velocity distribution and pressure loss of the data points are calculated, thereby improving the responsiveness and accuracy of sewage treatment. The pump speed and valve are adjusted according to the analysis results, and fine velocity control is achieved, which can be dynamically adjusted according to real-time data. The adaptive ability is improved and the dependence on manual intervention is reduced. The strategy is more flexible and effective by adapting to seasonal and daily changes through pattern analysis. Dynamic optimization is implemented, and operations are adjusted in time through real-time comparison of performance indicators, which improves resource utilization and optimizes energy consumption, thereby enhancing the economy and environmental benefits of environmentally friendly sewage treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the steps of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] See also Figure 1 The present invention provides a technical solution, an environmentally friendly sewage treatment method, comprising the following steps: Receive sensor data of flow rate and pollutant concentration, calculate flow velocity distribution and pressure loss of data points, and obtain flow characteristic analysis results; based on the flow characteristic analysis results, adjust pump speed data and valve opening data, perform flow velocity setting, and generate flow velocity adjustment parameters; According to the flow rate adjustment parameters, the flow rate and valve are adjusted in real time to verify whether the operation is in accordance with the predetermined parameters, whether the flow rate and concentration need to be adjusted again, and generate self-optimization results; Receive sensor data on flow and pollutant concentration, analyze pattern changes in the data, match seasonal and daily changes, and generate optimization parameters; apply optimization parameters, analyze optimization effects, and generate dynamic adjustment optimization results; According to the dynamic adjustment and optimization results, analyze the energy consumption and efficiency data, compare with the standard performance indicators, determine the energy-saving improvement points, implement adjustment measures, and generate performance optimization results.

[0017] The steps to obtain the flow characteristics analysis results are: Receiving traffic and pollutant concentrations Sensor data, record the sensor information, and obtain the original data set; Based on the original data set, calculate the flow velocity for each data point and pressure loss , the calculation formula is: ; and ; in, is the flow conversion coefficient, is the cross-sectional area of ​​the pipe, is the fluid friction coefficient, is the pipe length, is the acceleration due to gravity, is the pipe diameter; Based on the flow velocity and pressure loss, the fluid dynamic characteristics and the overall dynamic behavior of the fluid are analyzed to obtain the flow characteristics analysis results.

[0018] Specifically, the sensor data of flow rate and pollutant concentration are received, and multi-point monitoring technology is used for real-time data collection to ensure accurate and comprehensive data coverage, including but not limited to the distribution of flow rate and pollutant concentration. These data are collected from different sensor points, which are distributed in key positions to reflect the operating status of the overall system. The collected data are sent to the central database through a real-time data transmission system. The original data set will provide basic information for subsequent analysis and form a complete data record, which will be used for the next stage of flow rate and pressure loss calculation.

[0019] The benefit of the formula is that it can quickly evaluate the flow rate and pressure loss of the fluid in the pipeline through simple physical parameters, thereby helping engineers to adjust the system operating parameters in time to optimize performance; in the formula, Represents flow rate, through flow and pipe cross-sectional area The square root of the ratio is calculated as Usually measured directly by a flow meter, Determined according to pipeline design parameters, It is a coefficient obtained based on the specific fluid characteristics and flow meter calibration. represents the pressure loss, which is determined by the fluid friction coefficient , pipe length , flow rate , the acceleration due to gravity , and the pipe diameter It is calculated that, , , ,and All are provided by field measurements; Calculation process: , , , , , , ,but: ; ; This result indicates that under the given operating conditions, a pressure loss of approximately 202.3 Pa will be experienced. If the pressure loss is too high, it may be necessary to consider adjusting the pipe diameter or reducing the flow rate to reduce energy consumption.

[0020] Based on flow rate and pressure loss The dynamic behavior was evaluated through data analysis, which included calculating and recording various fluid dynamic parameters such as Reynolds number, velocity distribution and pressure distribution to ensure that each parameter was within the standard range of engineering safety. By comparing the actual measured values ​​with the theoretical predicted values, deviations or potential operational problems could be identified. The actual measured flow rate and pressure loss were compared with the standard values ​​preset during engineering design. The standard values ​​were obtained through dynamic simulation and historical data accumulation based on the pipe material, diameter and expected service life. This comparative analysis helped determine whether the operation was in accordance with the design parameters or if there were deviations. This comparison could not only identify any possible anomalies but also point out potential risks in system operation, thereby guiding subsequent adjustments or maintenance plans. The integrated data would provide a scientific basis for system performance evaluation and future optimization strategies to ensure efficient and safe operation of the fluid system.

[0021] The steps for obtaining the flow rate adjustment parameters are as follows: Based on the flow characteristics analysis results, analyze the relationship between flow velocity and pressure loss, determine the impact of pump speed and valve opening on fluid dynamic characteristics, determine the ratio of pump speed increase or decrease and the angle of valve adjustment, and form an adjustment plan; According to the adjustment plan, adjust the pump speed of the pump station and the valve opening of the pipeline one by one, obtain the adjusted pump speed and valve opening data, and form the adjusted set value record; Based on the adjusted set value records, the adjusted flow rate is recalculated to verify whether the flow rate at each adjustment point meets the designed processing requirements, and the flow rate adjustment parameters are obtained.

[0022] Specifically, based on the results of flow characteristic analysis, by analyzing the flow rate and pressure loss data in detail, examining the changes under different pump speeds and valve openings, identifying the sensitivity of key influencing factors such as fluid friction coefficient and pipe diameter to pump speed and valve adjustment, and then using these data to evaluate the specific proportion of pump speed increase or decrease and the precise angle of valve adjustment. This step involves simulating and predicting the fluid behavior under each setting. Based on the basic principles of fluid dynamics, considering the interference factors in the actual working environment, such as pipeline age and maintenance status, a set of adjustment plans for specific working conditions is formulated. The plan aims to optimize the efficiency of the entire system while reducing energy consumption and operating costs, forming an adjustment plan; According to the adjustment plan, the pump speed of the pump station and the valve opening of the pipeline are adjusted, the pump speed and valve position are changed, the real-time flow and pressure data are monitored to ensure that the adjustment meets the expected effect, and the set value is adjusted through a continuous feedback mechanism until the optimal performance is achieved. The parameters and results of each adjustment are recorded. These records are the basis for subsequent verification and continuous optimization. After recording these data, the system will automatically generate a comprehensive report containing all adjusted pump speed and valve opening data. This report lists the settings and actual performance of each operating point in detail, forming a record of the adjusted set values; Based on the adjusted set value records, the flow rate is calculated and verified again. This step involves inputting the adjusted pump speed and valve opening data into the fluid dynamics simulation software, simulating the behavior of the fluid under the new parameters to confirm whether the change in flow rate meets the design specifications of the processing requirements. By comparing the simulation results with the actual measurement data, it is ensured that the flow rate at each adjustment point has reached or exceeded the designed processing requirements, thereby confirming the overall efficiency and safety of the system. This process not only ensures the correctness of the operation, but also provides data support for the long-term operation of the system and obtains the flow rate adjustment parameters.

[0023] The steps to obtain the self-optimization results are: Perform real-time adjustment of pump speed and valve opening according to flow rate adjustment parameters, record the adjusted pump speed data and valve opening data, and form an adjustment implementation record; Based on the adjustment records, the real-time impact of pump speed and valve opening on flow rate and concentration is recalculated using the following formula: ; in, Indicates the deviation value, is the flow rate, is the concentration, is the target flow rate, is the target concentration; The deviation values ​​are analyzed to verify whether the flow rate and concentration meet the set operating parameters and obtain self-optimization results.

[0024] Specifically, it receives flow rate regulation parameters and adjusts the pump speed and valve opening in real time. By accurately recording the adjustment data, it ensures that the adjustment accurately reflects the changes in the predetermined parameters. The monitoring equipment records the pump speed data and valve opening data during each adjustment. This process not only involves direct adjustment of physical parameters, but also includes analysis and storage of these adjustment data for subsequent effect evaluation and system tuning. The recorded data is subsequently used to evaluate system performance to ensure that each adjustment is based on the latest system status and external inputs. These adjustment records are essential for real-time monitoring of system status and predicting future system needs. This series of records and adjustments ensures that the fluid power system maintains optimal performance under changing operating conditions.

[0025] The benefit of the formula is that it provides a quantitative method to evaluate whether the performance of the adjusted system meets the target requirements; The steps for obtaining parameters are as follows: first, obtain the and , that is, the actual flow rate and concentration, and and It is based on the set target value; Calculation process: actual flow rate The target flow rate is 100m / s. is 95m / s, the actual concentration The target concentration is 30 units. is 28 units, and the formula is as follows: ; ; ; The result shows that the performance deviation of the system is 5.385 units, indicating that although there is a slight deviation, it is basically close to the target requirement, indicating that the adjustment effect is good and close to the predetermined parameters.

[0026] The system performance is evaluated based on the deviation values ​​of flow rate and concentration. First, the actual measured flow rate and concentration data are compared with the target value, and the deviation value is calculated. This calculation is obtained through direct numerical comparison. Then, it is analyzed whether these deviation values ​​are within the allowable range. The deviation analysis includes checking whether the deviation exceeds the preset safety threshold and its changing trend. This step is determined by comparing several consecutive measurement results. If the deviation value continues to exceed the standard or the trend develops in an unfavorable direction, the system will trigger further adjustment processes. These decisions are based on the specific analysis results of the deviation value, and this judgment process is fully automated and completed through preset logic and parameter settings. The final self-optimization result is automatically generated by the system after integrating all this information, indicating the degree of fit between the current system status and the predetermined target, as well as the direction of future adjustments.

[0027] The steps to obtain the optimization parameters are: Receive flow and pollutant concentration data through sensors, record the data readings at each time point, verify the completeness of each data point, and obtain a preliminary data set; Based on the preliminary data set, trend analysis and pattern recognition are performed to identify periodic pattern changes in the data, including daily changes and seasonal fluctuations, and obtain pattern recognition results; Based on the pattern recognition results, analyze which pattern changes are associated with processing requirements, adjust parameters, and generate optimized parameters.

[0028] Specifically, the process of receiving flow and pollutant concentration data through sensors first involves checking the sensor configuration to ensure accurate data collection, and performing signal calibration to avoid noise interference. The sensor regularly sends data to the central processing unit, and these data are recorded in the form of timestamps to ensure that the data at each time point is completely captured and stored. In addition, a preliminary data verification procedure is implemented to check for any possible data loss or outliers to obtain a preliminary data set with complete records.

[0029] Based on the preliminary data set obtained, trend analysis was performed to identify obvious periodic changes, including daily peaks and troughs and seasonal upward or downward trends, by calculating the moving average and standard deviation of the data. In addition, cluster analysis methods were applied to group the data to determine the similarities of data in different time periods, which helped to identify changes caused by environmental factors such as temperature and humidity. The analysis results at this stage revealed the main periodic patterns in the data.

[0030] Based on the pattern recognition results, the degree of match between the periodic changes and the current sewage treatment needs is reviewed. Through comparative analysis, it is determined which periodic changes are the key influencing factors, and the parameters are reset to adjust the response to flow and concentration. The adjustment process includes simulating the impact of different parameter settings on treatment efficiency and conducting risk assessments to ensure that the adjustments will not introduce unacceptable operational risks.

[0031] The steps to obtain the dynamic adjustment optimization results are: Apply optimization parameters, obtain adjusted operation data, and obtain adjustment implementation records; Based on the adjustment implementation records, analyze the impact of pump speed adjustment and valve opening adjustment on sewage treatment efficiency, analyze the performance difference before and after adjustment, and obtain a performance analysis report; Based on the performance analysis report, determine which adjustment measures are effective and generate dynamic adjustment optimization results.

[0032] Specifically, monitor real-time data to show the immediate effects of adjustments, including changes in flow and pollutant concentrations. During adjustments, record each parameter change and its impact on treatment efficiency. During adjustments, pay attention to the relationship between flow increases and decreases and concentration adjustments, and ensure that all changes can be recorded and evaluated in real time. In this way, the specific effects of each operation can be carefully tracked and the results of the operation can be documented.

[0033] Analyze the actual impact of pump speed and valve adjustment on treatment efficiency. Pay attention to chemical oxygen demand and ammonia nitrogen removal efficiency, and compare the efficiency changes before and after adjustment. In the analysis, directly relate the changes in pump speed and valve opening for each adjustment to the sewage treatment effect, consider the impact of sewage flow fluctuations and seasonal changes, and ensure that the analysis results accurately reflect the treatment performance under each operating condition.

[0034] Evaluate the effectiveness of various adjustment measures and decide which operating parameters should remain unchanged and which should be further optimized. Dynamically adjust the operation strategy according to the problems and challenges encountered in actual operation to improve processing efficiency and adaptability. If certain adjustments are proven to improve processing quality, these adjustments will be incorporated into standard operating procedures. Conversely, operations that do not meet the standards will be redesigned to form a set of dynamic adjustment strategies that can cope with various situations.

[0035] The steps to obtain performance optimization results are: According to the dynamic adjustment optimization results, analyze and record the energy consumption and efficiency data under each working condition, including the operating time and consumption indicators, to form energy efficiency data records; Based on the energy efficiency data records, the performance data after each adjustment is compared with the established standard performance indicators, and the performance deviation is calculated using the following formula: ; in, represents the average performance deviation, is the performance data recorded after the ith adjustment, For the preset standard performance indicators, Indicates the total number of adjustments; According to the average performance deviation, the energy-saving potential and efficiency improvement points in each adjustment are analyzed, and adjustment measures are formulated according to the efficiency improvement points to obtain performance optimization results.

[0036] Specifically, based on the dynamic adjustment and optimization results, the energy consumption and efficiency data under various working conditions are recorded, including the operating time and energy consumption indicators in each stage. In this way, a comprehensive energy efficiency data record is formed. These data records reflect in detail the actual changes in system performance before and after each adjustment, providing a basis for subsequent analysis.

[0037] The benefit of the formula is that it provides a quantitative measure for evaluating the effectiveness of the adjustment measures of the entire system by calculating the average deviation between the actual performance and the standard performance; the steps for obtaining the formula parameters are: The parameter is the actual running data obtained. are set based on industry standards or historical performance data, It is the sum of the number of adjustments during a specific assessment period; ; The result is 0.6%; this result shows that the average performance deviation is 0.6%, indicating that the performance is slightly above the standard most of the time and the overall effect of the adjustment is slightly better than expected.

[0038] Based on the calculated average performance deviation, the energy-saving potential and efficiency improvement points in each adjustment were analyzed in depth. By evaluating which adjustments were most effective and which might require further optimization, adjustment measures were formulated. These measures were based on actual data and performance comparisons to ensure the appropriateness and accuracy of the measures.

[0039] The present invention provides a sewage treatment system, comprising: The flow characteristic analysis module receives data from the flow sensor and the pollutant concentration sensor, calculates the flow velocity distribution and the pressure loss, obtains the flow characteristic analysis results, and then adjusts the pump speed data and the valve opening according to the flow characteristic analysis results to generate the flow velocity adjustment parameters; The real-time adjustment verification module performs real-time adjustment of flow rate and valve according to the flow rate adjustment parameters, verifies the accuracy of the adjustment by comparing the predetermined parameters with the real-time data, and readjusts if there is a deviation to generate a self-optimization result; The dynamic optimization analysis module receives flow and pollutant concentration data again, analyzes pattern changes, matches seasonal and daily demand changes, generates optimization parameters, and applies the parameters. By comparing energy consumption and efficiency data with standard performance indicators, it determines energy-saving improvement points and implements adjustment measures.

[0040] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An environmentally friendly sewage treatment method, characterized in that: The following steps are involved: Receive sensor data of flow rate and pollutant concentration, calculate flow velocity distribution and pressure loss of data points, and obtain flow characteristic analysis results; based on the flow characteristic analysis results, adjust pump speed data and valve opening data, perform flow velocity setting, and generate flow velocity adjustment parameters; According to the flow rate adjustment parameters, the flow rate and the valve are adjusted in real time to verify whether the operation is in accordance with the predetermined parameters, whether the flow rate and concentration need to be adjusted again, and generate a self-optimization result; Receive sensor data of flow and pollutant concentration, analyze pattern changes in the data, match seasonal and daily changes, and generate optimization parameters; apply the optimization parameters, analyze the optimization effect, and generate dynamic adjustment optimization results; According to the dynamic adjustment optimization results, the energy consumption and efficiency data are analyzed, compared with standard performance indicators, energy-saving improvement points are determined, adjustment measures are implemented, and performance optimization results are generated.

2. The environmentally friendly sewage treatment method according to claim 1, characterized in that: The steps for obtaining the flow characteristic analysis results are: Receiving traffic and pollutant concentrations Sensor data, record the sensor information, and obtain the original data set; Based on the original data set, calculate the flow velocity for each data point and pressure loss , the calculation formula is: ； and ； in, is the flow conversion coefficient, is the cross-sectional area of ​​the pipe, is the fluid friction coefficient, is the pipe length, is the acceleration due to gravity, is the pipe diameter; Based on the flow velocity and pressure loss, the fluid dynamic characteristics and the overall dynamic behavior of the fluid are analyzed to obtain the flow characteristics analysis results.

3. The environmentally friendly sewage treatment method according to claim 1, characterized in that: The steps for obtaining the flow rate adjustment parameters are: Based on the flow characteristics analysis results, analyze the relationship between flow velocity and pressure loss, determine the influence of pump speed and valve opening on fluid dynamic characteristics, determine the ratio of pump speed increase or decrease and the angle of valve adjustment, and form an adjustment plan; According to the adjustment plan, the pump speed of the pump station and the valve opening of the pipeline are adjusted one by one, and the adjusted pump speed and valve opening data are obtained to form an adjusted set value record; Based on the adjusted set value record, the adjusted flow rate is recalculated to verify whether the flow rate at each adjustment point meets the designed processing requirements, and the flow rate adjustment parameters are obtained.

4. The environmentally friendly sewage treatment method according to claim 1, characterized in that: The steps for obtaining the self-optimization result are: Performing real-time adjustment of the pump speed and valve opening according to the flow rate adjustment parameters, recording the adjusted pump speed data and valve opening data, and forming an adjustment implementation record; Based on the implementation adjustment records, the real-time impact of pump speed and valve opening on flow rate and concentration is recalculated, and the calculation formula is: ； in, Indicates the deviation value, is the flow rate, is the concentration, is the target flow rate, is the target concentration; The deviation value is analyzed to verify whether the flow rate and concentration meet the set operating parameters, and a self-optimization result is obtained.

5. The environmentally friendly sewage treatment method according to claim 1, characterized in that: The steps for obtaining the optimization parameters are: Receive flow and pollutant concentration data through sensors, record the data readings at each time point, verify the completeness of each data point, and obtain a preliminary data set; Based on the preliminary data set, trend analysis and pattern recognition are performed to identify periodic pattern changes in the data, including daily changes and seasonal fluctuations, and obtain pattern recognition results; According to the pattern recognition results, it is analyzed which pattern changes are associated with the processing requirements, and the parameters are adjusted to generate optimized parameters.

6. The environmentally friendly sewage treatment method according to claim 1, characterized in that: The steps for obtaining the dynamic adjustment optimization result are: Applying the optimization parameters, obtaining adjusted operation data, and obtaining adjustment implementation records; Based on the adjustment implementation records, analyze the impact of pump speed adjustment and valve opening adjustment on sewage treatment efficiency, analyze the performance difference before and after the adjustment, and obtain a performance analysis report; Based on the performance analysis report, determine which adjustment measures are effective and generate dynamic adjustment optimization results.

7. The environmentally friendly sewage treatment method according to claim 1, characterized in that: The steps for obtaining the performance optimization results are: According to the dynamic adjustment optimization results, analyzing and recording the energy consumption and efficiency data under each working condition, including the operation time and consumption index, to form an energy efficiency data record; Based on the energy efficiency data records, the performance data after each adjustment is compared with the established standard performance indicators to calculate the performance deviation. The calculation formula is: ； in, represents the average performance deviation, is the performance data recorded after the ith adjustment, For the preset standard performance indicators, Indicates the total number of adjustments; According to the average performance deviation, the energy saving potential and efficiency improvement points in each adjustment are analyzed, and adjustment measures are formulated according to the efficiency improvement points to obtain performance optimization results.

8. A sewage treatment system according to the environmentally friendly sewage treatment method according to any one of claims 1 to 7, characterized in that: include: The flow characteristic analysis module receives data from the flow sensor and the pollutant concentration sensor, calculates the flow velocity distribution and the pressure loss, obtains the flow characteristic analysis results, and then adjusts the pump speed data and the valve opening according to the flow characteristic analysis results to generate the flow velocity adjustment parameters; The real-time adjustment verification module performs real-time adjustment of flow rate and valve according to the flow rate adjustment parameters, verifies the accuracy of the adjustment by comparing the predetermined parameters with the real-time data, and readjusts if there is a deviation to generate a self-optimization result; The dynamic optimization analysis module receives flow and pollutant concentration data again, analyzes pattern changes, matches seasonal and daily demand changes, generates optimization parameters, and applies the parameters. By comparing energy consumption and efficiency data with standard performance indicators, it determines energy-saving improvement points and implements adjustment measures.

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