Control method of secondary pressurization domestic water supply system

Abstract

The invention relates to the technical field of water supply control, in particular to a control method of a secondary pressurization domestic water supply system, which comprises the following steps: collecting user water consumption data, screening time, water volume and water pressure parameters, and carrying out statistical analysis of daily modes to obtain time distribution of conventional water consumption behaviors; and based on the time distribution, analyzing a typical water consumption peak period and a typical water consumption valley period, and generating a water consumption demand prediction table. By analyzing the adjusted water pressure data, the maximum fluctuation value and the average fluctuation value are calculated, the preset safe fluctuation range is combined for comparison, and abnormal water pressure fluctuation can be recognized and marked in time. And through a fluctuation data analysis result, the stability of the water pressure in a short period is further predicted, and dynamic evaluation and targeted planning of the water pressure operation trend are realized. And the starting frequency and power output of the booster pump are set based on the prediction result, the running state of the water supply equipment is dynamically adjusted, and stable running of water pressure in different use scenes is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply control, and in particular to a control method for a secondary pressurized domestic water supply system. Background Art

[0002] The field of water supply control technology is an important part of modern infrastructure construction, involving the regulation of water flow, water pressure, water quality and energy consumption in the water supply system. The core of this technology field is to dynamically adjust the operating status of water supply equipment through sensor networks, real-time data collection and analysis technology, so as to meet the water needs of users and ensure the efficient and stable operation of the system.

[0003] However, existing technologies are not good at real-time analysis of water pressure changes. They tend to ignore the long-term instability caused by small fluctuations in a short period of time. They also have limited ability to predict water pressure stability and are difficult to intervene effectively before fluctuations accumulate. This may lead to equipment overload or a decline in user water experience. These shortcomings limit the adaptability and overall effectiveness of water supply control systems in complex water supply environments. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a control method for a secondary pressurized domestic water supply system.

[0005] In order to achieve the above object, the present invention adopts the following technical solution, a control method of a secondary pressurized domestic water supply system, comprising the following steps: Collect user water use data, filter time, water volume and water pressure parameters, conduct statistical analysis of daily patterns, and obtain the time distribution of regular water use behavior; based on the time distribution, analyze typical water use peaks and valleys, and generate a water demand forecast table; Receive water use data in real time, compare it with the water demand forecast table, verify whether it is in the predicted peak period or valley period, and generate a real-time water use status result; adjust the speed and power of the booster pump according to the real-time water use status result, monitor the adjusted water pressure feedback, and generate an adjusted water pressure result; Analyze the adjusted water pressure results, calculate the maximum fluctuation value and the average fluctuation value of the water pressure, compare the fluctuation value with the preset safe fluctuation range, identify abnormal fluctuations, and generate a water pressure fluctuation analysis result; predict the water pressure stability in the short term based on the water pressure fluctuation analysis result, and generate a water pressure stability prediction result; According to the water pressure stability prediction result, the starting frequency and power output of the booster pump are set, the effect is monitored, and the control effect evaluation result is generated.

[0006] Preferably, the steps for obtaining the time distribution of the conventional water use behavior are: Collect user water use data through sensors, the water use data including each user's water use time, water use amount and water pressure, and organize the water use data to generate a water use data set; Extract time, water volume and water pressure data from the water use dataset, assign a timestamp to each data point and calculate the average water volume and water pressure in each time period. The calculation formula is: and in, is the water volume of the ith data point, is the water pressure of the ith data point, is the total number of data points, is the average water volume, is the average water pressure; According to the average water volume and average water pressure in each time period, the changing trends of water volume and water pressure are analyzed to obtain the time distribution of regular water use behavior.

[0007] Preferably, the steps for obtaining the water demand forecast table are: Analyze and determine the peak and trough periods of daily water use from the time distribution of the conventional water use behavior, identify the peak and trough time periods through time series analysis, and generate a list of peak and trough periods of water use; Based on the list of peak and valley water use periods, daily and weekly water use patterns are analyzed, and by counting the water use frequency in each time period and quantifying the fluctuation of water use, the fluctuation of water demand of users in each time period is identified to obtain water use behavior pattern data; Using the water use behavior pattern data, the expected water consumption for each period in the future is listed to develop a water demand forecast table.

[0008] Preferably, the steps for obtaining the real-time water usage status result are: Receive water consumption data from sensors in real time to obtain water consumption data sets; Based on the water use data set, a comparative analysis is performed with the water use demand forecast table, and by comparing the difference between the real-time data and the forecast data, it is identified whether the current period matches the peak period or the trough period forecast, and a real-time water use status analysis result is obtained; According to the real-time water usage status analysis result, the current water usage status is verified to determine whether it is in a peak period or a trough period, and a real-time water usage status result is generated.

[0009] Preferably, the steps for obtaining the adjusted water pressure result are: Based on the obtained real-time water usage status results, adjust the operating parameters of the booster pump, including speed and power, to match the current water usage according to the set values ​​of the adjustment parameters, and calculate the theoretical water pressure output of the booster pump after adjustment. The calculation formula is: in, For the adjusted water pressure, To adjust the water pressure before, and are the pump speeds before and after adjustment, and are the power after and before adjustment respectively; Based on calculated adjusted water pressure , monitor the water pressure feedback data, verify the effectiveness of the adjustment, and generate the adjusted water pressure results.

[0010] Preferably, the steps for obtaining the water pressure fluctuation analysis result are: The adjusted water pressure is continuously monitored and the water pressure readings at each time point are recorded and compiled into a water pressure time series dataset; The water pressure data of each measuring point are extracted from the water pressure time series data set, and the maximum fluctuation value and the average fluctuation value of the water pressure are calculated. The calculation formula is: and in, represents the water pressure value at the i-th measuring point, is the average water pressure, is the total number of data points; According to the maximum fluctuation value and the average fluctuation value, the maximum fluctuation value and the average fluctuation value are compared with a preset safe fluctuation range, and whether abnormal fluctuation exceeds the preset safe range is identified to form a water pressure fluctuation analysis result.

[0011] Preferably, the steps for obtaining the water pressure stability prediction result are: Based on the water pressure fluctuation analysis results, extracting the maximum fluctuation value and the average fluctuation value; Based on the extracted maximum fluctuation value and average fluctuation value, the stability of water pressure in the future time period is calculated using the following formula: in, represents the predicted water pressure stability index, is the average volatility value extracted from the volatility data, and are the coefficients and thresholds for adjustment; Based on the water pressure stability index, the matching degree with the preset safety standard is analyzed to determine whether adjustment or monitoring is required, thereby forming a water pressure stability prediction result.

[0012] Preferably, the steps for obtaining the regulatory effect evaluation result are: Obtaining the water pressure stability prediction result, adjusting the starting frequency and power output of the booster pump according to the water pressure stability prediction result to match the predicted demand change, and forming an adjustment parameter setting for the booster pump; Based on the adjustment parameter setting of the booster pump, the starting frequency and power output are changed, and the operation data of the booster pump after the adjustment is monitored in real time to obtain preliminary control implementation results; Through the preliminary control implementation results, it is analyzed whether the adjustment effect has achieved the expected water pressure stability improvement goal, and the control effect evaluation results are generated.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: The present invention analyzes the adjusted water pressure data, calculates the maximum fluctuation value and the average fluctuation value, and compares them with the preset safe fluctuation range, so as to timely identify and mark abnormal fluctuations in water pressure. Through the analysis results of the fluctuation data, the stability of the water pressure in the short term is further predicted, and the dynamic evaluation and targeted planning of the water pressure operation trend are realized. The starting frequency and power output of the booster pump are set based on the prediction results, and the operating state of the water supply equipment is dynamically adjusted to ensure the smooth operation of the water pressure in different usage scenarios. The monitoring effect link is combined with real-time feedback data to continuously verify and optimize the control parameters, so that the water supply equipment can respond to changes in demand more sensitively. A closed-loop process of analysis, prediction, control and feedback is formed, which improves decision-making ability and operational stability, while reducing energy waste and enhancing the reliability and sustainability of the water supply system in different demand scenarios. 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, a control method for a secondary pressurized domestic water supply system, comprising the following steps: Collect user water use data, filter time, water volume and water pressure parameters, conduct statistical analysis of daily patterns, and obtain the time distribution of regular water use behavior; based on the time distribution, analyze typical water use peak and trough periods, and generate a water demand forecast table; Receive water use data in real time, compare it with the water demand forecast table, verify whether it is in the predicted peak or trough period, and generate real-time water use status results; adjust the speed and power of the booster pump according to the real-time water use status results, monitor the adjusted water pressure feedback, and generate adjusted water pressure results; Analyze the adjusted water pressure results, calculate the maximum and average fluctuation values ​​of the water pressure, compare the fluctuation values ​​with the preset safe fluctuation range, identify abnormal fluctuations, and generate water pressure fluctuation analysis results; predict the water pressure stability in the short term based on the water pressure fluctuation analysis results, and generate water pressure stability prediction results; According to the water pressure stability prediction results, the starting frequency and power output of the booster pump are set, the effect is monitored, and the control effect evaluation results are generated.

[0017] The steps to obtain the time distribution of regular water use behavior are: Collect user water use data through sensors. The water use data includes each user's water use time, water use amount and water pressure. The water use data is sorted to generate a water use data set. Extract time, water volume and water pressure data from the water use dataset, assign a timestamp to each data point and calculate the average water volume and water pressure in each time period. The calculation formula is: and in, is the water volume of the ith data point, is the water pressure of the ith data point, is the total number of data points, is the average water volume, is the average water pressure; According to the average water volume and average water pressure in each time period, the changing trends of water volume and water pressure are analyzed to obtain the time distribution of regular water use behavior.

[0018] Specifically, users’ water use data are collected through sensors. These data include the specific water use time, water consumption and water pressure of each user. These data are sorted to form a preliminary water use data set. Sensors are set at each user node to transmit data to the central processing unit in real time. The data includes date, timestamp, water flow meter reading and pressure gauge reading to ensure the integrity and real-time nature of the collected data. At the same time, outliers are removed, such as when the water flow suddenly jumps to an unconventional value, to ensure data quality, provide a reliable data basis for subsequent analysis, and generate a preliminary water use data set. In the formula, The steps for obtaining the parameters are: using the water flow meter to measure the water flow at each detection point, The steps for obtaining the parameters are: using the pressure gauge to measure the water pressure at each detection point, is the total number of data points, calculated by the number of records in the data collection period; Calculation process: Set a specific collection cycle, collect data once every hour for 24 hours a day, and the data at 8:00 is Lift, psi, similarly, until 24:00, calculate the average water flow and water pressure for each hour of the day, and calculate by inserting specific values ​​to obtain the daily average water flow and water pressure; Based on the average water volume and average water pressure in each time period, the changing trends of water volume and water pressure are analyzed. The correlation and trend between data points are analyzed through time series analysis methods, such as moving average or exponential smoothing. In addition, seasonal decomposition can be used to identify water use patterns in specific time periods, such as changes in water use during morning and evening peaks. Through these analyses, we can further understand consumers' water use habits and potential water supply needs, provide decision support for water resources management, and obtain the time distribution of regular water use behavior.

[0019] The steps to obtain the water demand forecast table are: Analyze and determine the peak and trough periods of daily water use from the time distribution of regular water use behavior. Through time series analysis, identify the peak and trough time periods and generate a list of peak and trough periods of water use. Based on the list of peak and low water usage periods, the daily and weekly water usage patterns are analyzed. By counting the water usage frequency in each time period and quantifying the fluctuation of water usage, the fluctuation of users' water demand in each time period is identified, and water usage behavior pattern data is obtained; Using water use behavior pattern data, the expected water consumption for each period in the future is listed and a water demand forecast table is developed.

[0020] Specifically, starting from the time distribution data of regular water use behavior obtained in the previous step, we first conduct a time series analysis on these data, and determine the time periods with the highest and lowest water consumption through moving average and standard deviation calculations, thereby identifying the daily water use peak and trough periods. In this process, we specifically cluster the 24-hour water use records by hour, analyze the water use patterns of each time period, evaluate the frequent time points of peak and trough periods, depict the changing trends of peak and trough periods, mark these periods and organize them into a list format, which is provided for the next step of analysis to obtain a list of water use peak and trough periods.

[0021] Based on the list of peak and trough periods of water use, we further analyzed the changes in daily and weekly water use patterns. We performed further statistical analysis on the data points in the list, such as calculating the standard deviation of water use frequency and water consumption in each period, displaying the fluctuations in water consumption, and analyzing the fluctuations in water demand on different days and time periods. In this step, we paid special attention to associating water use behavior with specific days (such as holidays and weekdays) and evaluating the impact of external factors such as weather changes on water use patterns, thereby obtaining a water use behavior pattern data set.

[0022] Utilize the water use behavior pattern data after detailed analysis to develop a water demand forecast table, which lists in detail the expected water consumption for each period in the future. By comparing and analyzing historical data with the forecast data for the upcoming time period, the operation strategy of the water supply system is adjusted to adapt to the water demand in different time periods. The water use behavior pattern data is compared with the control parameters of the water supply system (such as the start-up frequency and output power of the pump station) to develop operational recommendations aimed at optimizing water supply efficiency and resource allocation.

[0023] The steps to obtain the real-time water usage status results are as follows: Receive water consumption data from sensors in real time to obtain water consumption data sets; Based on the water use data set, a comparative analysis is performed with the water demand forecast table. By comparing the difference between real-time data and forecast data, it is identified whether the current period matches the peak or trough forecast, and the real-time water use status analysis results are obtained; According to the real-time water usage status analysis results, verify the current water usage status to see whether it is at a peak or low point, and generate real-time water usage status results.

[0024] Specifically, the water usage data from the sensors are received in real time. These data are first formatted and verified to confirm their completeness and accuracy, ensuring the integrity of the data during transmission, and then aggregated into real-time updated water usage data sets. The data within these data sets are marked with timestamps to facilitate subsequent processing and analysis, thus forming a continuously updated data stream; The received data set is compared with the previously prepared water demand forecast table, each data point is identified and compared with the corresponding time period in the forecast table, these data points are aligned by time stamps, and then the values ​​are compared. For each time period, the difference between the actual water volume and the predicted water volume is calculated. Through this difference analysis, it is determined whether the water use situation in the current period is consistent with the peak or trough forecast, thereby providing accurate information about the current water use status; Based on the above-mentioned real-time water use status analysis results, we continue to conduct in-depth data verification and compare the current water use data with the historical data for the same period. If data deviations are found, we analyze the causes of the deviations, such as whether they are due to seasonal changes or sudden events, and confirm whether the current water use status is a normal peak or trough. This comparison not only helps to confirm abnormal situations, but also verifies the reliability of current data through historical data. The real-time water use status results finally generated provide an intuitive description of the current water use situation.

[0025] The steps to obtain the adjusted water pressure results are: Based on the obtained real-time water usage status results, adjust the operating parameters of the booster pump, including speed and power, to match the current water usage. According to the set values ​​of the adjustment parameters, calculate the theoretical water pressure output of the booster pump after adjustment. The calculation formula is: in, For the adjusted water pressure, To adjust the water pressure before, and are the pump speeds before and after adjustment, and are the power after and before adjustment respectively; Based on calculated adjusted water pressure , monitor the water pressure feedback data, verify the effectiveness of the adjustment, and generate the adjusted water pressure results.

[0026] Specifically, it receives water usage data in real time, adjusts the speed and power of the booster pump based on the real-time water usage status results, monitors the adjusted water pressure feedback, collects water flow and water pressure data flowing into the main network through sensors, and analyzes whether the current water consumption deviates significantly from the daily data based on the received data. If an abnormal increase or decrease is found, the speed and power of the booster pump are adjusted immediately to ensure that the water pressure is maintained within a stable range, preventing excessive water pressure fluctuations caused by sudden increases or decreases in water consumption from affecting the user's water experience, thereby ensuring the efficient operation of the entire water supply system and stable water pressure.

[0027] The formula is useful in that by adjusting the pump speed and power The output water pressure can be accurately controlled according to the actual water demand, thereby improving the efficiency of water resource use and the user's water experience; The parameter acquisition step is to obtain the average water pressure value of the previous detection cycle through real-time monitoring of the water pressure sensor. is the pump speed of the last operation cycle, which is recorded by the control system of the booster pump. is the power output of the pump in the last operation cycle, also obtained through the control system data record; Calculation process: The water pressure of the most recent monitoring At 2.5 bar, the pump speed At 1500rpm, power 10kW, real-time demand increases, new pump speed Set to 1800rpm, the new power Adjusted to 12kW, the calculated value is 3.6. The result shows that the water pressure increases to 3.6bar after adjustment. In this way, the pump speed and power can be adjusted according to real-time data feedback to cope with changes in water consumption and ensure the stability of water pressure.

[0028] Based on the calculated adjusted water pressure, monitor the actual water pressure feedback data to confirm the effectiveness of the adjustment. Collect data in real time through the pressure sensors installed in the pipe network, compare the previous predictions with the actual values, and analyze whether there are fluctuations beyond the normal operating range. If abnormal fluctuations in water pressure are monitored, adjust the pump operating parameters through secondary regulation until the water pressure returns to normal, and generate the adjusted water pressure result.

[0029] The steps to obtain the water pressure fluctuation analysis results are: The adjusted water pressure is continuously monitored and the water pressure readings at each time point are recorded and compiled into a water pressure time series dataset; Extract the water pressure data of each measuring point from the water pressure time series data set, and calculate the maximum fluctuation value and average fluctuation value of the water pressure. The calculation formula is: and in, represents the water pressure value at the i-th measuring point, is the average water pressure, is the total number of data points; According to the maximum fluctuation value and the average fluctuation value, the maximum fluctuation value and the average fluctuation value are compared with the preset safe fluctuation range to identify whether the abnormal fluctuation exceeds the preset safe range and form the water pressure fluctuation analysis result.

[0030] Specifically, the adjusted water pressure is continuously monitored by sensors, and the specific water pressure readings at different time points are recorded and organized into a water pressure time series data set. Data is collected in real time, and each data point contains a timestamp and the corresponding water pressure value. Each data point received is sorted into a time series, arranged in chronological order and stored for use in subsequent data processing and analysis steps to ensure data integrity and traceability.

[0031] The formula is useful in that by quantifying the fluctuations in water pressure readings, the stability of the water supply system can be monitored and assessed; the parameter represents the water pressure value at the i-th measuring point, which is directly obtained through the real-time monitoring system. The data of each measuring point is collected and automatically recorded by the water pressure sensor at a preset time interval; is the average water pressure, which is calculated as the average of the water pressure values ​​at all measuring points and represents the normal water supply pressure status; is the total number of data points, i.e. the number of water pressure data points collected during a specific monitoring period, usually set to one measurement per minute.

[0032] Calculation process: First calculate the average water pressure For example, 100 data points are collected and the water pressure at each point is , calculate the sum and divide by 100 to get ; Then, take the maximum absolute value of the difference between the water pressure value at each point and the average value to get the maximum fluctuation value ; At the same time, calculate the sum of the squares of the difference between the water pressure value at each point and the average value, divide it by 100, and take the square root of the result to get the average fluctuation value .

[0033] The result shows that if the maximum fluctuation value or the average fluctuation value exceeds the safety setting threshold, it indicates that there may be leakage or other technical problems, which require further inspection and maintenance.

[0034] According to the maximum fluctuation value and the average fluctuation value, the maximum fluctuation value and the average fluctuation value are compared with the preset safety fluctuation range to identify whether the abnormal fluctuation exceeds the preset safety range and form the water pressure fluctuation analysis result. In this process, the calculated maximum fluctuation value and the average fluctuation value are compared with the preset threshold value by taking the set safety fluctuation range as the benchmark. If the fluctuation value exceeds the threshold value, it is marked and the maintenance team is notified for inspection to ensure the safe operation of the water supply system. The setting method of the abnormal fluctuation within the preset safety range is to determine it through statistics. For example, in statistics, when the abnormal fluctuation exceeds a certain value, the probability of failure is very high, and the fluctuation range within is set as the safety fluctuation range.

[0035] The steps to obtain the water pressure stability prediction results are as follows: Based on the water pressure fluctuation analysis results, the maximum fluctuation value and the average fluctuation value are extracted; Based on the extracted maximum fluctuation value and average fluctuation value, the stability of water pressure in the future time period is calculated using the following formula: in, represents the predicted water pressure stability index, is the average volatility value extracted from the volatility data, and are the coefficients and thresholds for adjustment; Based on the water pressure stability index, the matching degree with the preset safety standards is analyzed to determine whether adjustment or monitoring is needed, and the water pressure stability prediction result is formed.

[0036] Specifically, based on the water pressure fluctuation analysis results, the maximum fluctuation value and the average fluctuation value are extracted from the data. These values ​​are obtained by statistical analysis of the adjusted water pressure data. The maximum fluctuation value indicates the single maximum water pressure deviation recorded during the monitoring period, while the average fluctuation value indicates the average level of water pressure deviation during the entire monitoring period.

[0037] The benefits of the formula are: predicting water pressure stability in the form of a logistic regression model, using exponential and logarithmic functions to adjust the prediction sensitivity and adapt to different fluctuation data characteristics; is the average fluctuation of water pressure in the past week. and The parameters are optimized by minimizing the prediction error; Calculation process: Historical data display is 2.5, is 1.2, is 2.0, and the result is 0.574. This result shows that: A value close to 1 indicates that the water pressure is relatively stable, and a lower value indicates worse stability. The current result of 0.574 indicates that the water pressure stability is at a medium level and that possible fluctuations need to be continuously monitored.

[0038] Based on the water pressure stability index, the degree of match with the preset safety standards is analyzed. The index is obtained through the above calculation and reflects the stability of the water pressure under the current operating conditions. In this step, by comparing the calculated stability index with the pre-set safety standard threshold, it is determined whether it is within an acceptable stability range or whether further adjustment or monitoring is required. The safety standard threshold can be set to 0.3, for example, depending on the actual environmental test.

[0039] The steps for obtaining the results of the regulation effect evaluation are as follows: Obtain the water pressure stability prediction result, adjust the starting frequency and power output of the booster pump according to the water pressure stability prediction result, match the predicted demand change, and form the adjustment parameter setting of the booster pump; Based on the adjustment parameter settings of the booster pump, the starting frequency and power output are changed, and the adjusted booster pump operation data is monitored in real time to obtain preliminary control implementation results; Through the preliminary results of regulation implementation, analyze whether the adjustment effect has achieved the expected water pressure stability improvement goal, and generate regulation effect evaluation results.

[0040] Specifically, according to the water pressure stability prediction results obtained, the starting frequency and power of the booster pump are adjusted to adapt to the predicted changes in water pressure demand. Adjusting these parameters requires setting safety thresholds and working ranges based on the latest water pressure data and long-term water pressure records to ensure that the adjusted output matches the actual water pressure demand. After the booster pump parameters are adjusted, the new start frequency and power output are implemented. Next, real-time monitoring is performed to track the effect of the adjustment. The monitoring includes collecting real-time water pressure, flow and power data of the booster pump to verify the compliance and effect of the adjustment measures. The operation team regularly reviews these indicators to ensure that each adjustment is strictly implemented in accordance with the predetermined performance standards. After comprehensively analyzing the data from the implementation of regulation and control, the effectiveness of the adjustment is evaluated by comparing the water pressure data before and after the adjustment, including the stability of water pressure and the operating efficiency of the equipment.

[0041] 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. A control method for a secondary pressurized domestic water supply system, characterized in that: The following steps are involved: Collect user water use data, filter time, water volume and water pressure parameters, conduct statistical analysis of daily patterns, and obtain the time distribution of regular water use behavior; Based on the time distribution, typical water use peak and trough periods are analyzed to generate a water demand forecast table; Receive water use data in real time, compare it with the water demand forecast table, verify whether it is in the predicted peak period or valley period, and generate a real-time water use status result; adjust the speed and power of the booster pump according to the real-time water use status result, monitor the adjusted water pressure feedback, and generate an adjusted water pressure result; Analyze the adjusted water pressure results, calculate the maximum fluctuation value and average fluctuation value of the water pressure, compare the fluctuation value with a preset safe fluctuation range, identify abnormal fluctuations, and generate a water pressure fluctuation analysis result; Predicting short-term water pressure stability based on the water pressure fluctuation analysis results, and generating a water pressure stability prediction result; According to the water pressure stability prediction result, the starting frequency and power output of the booster pump are set, the effect is monitored, and the control effect evaluation result is generated.

2. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the time distribution of the conventional water use behavior are: Collect user water use data through sensors, the water use data including each user's water use time, water use amount and water pressure, and organize the water use data to generate a water use data set; Extract time, water volume and water pressure data from the water use dataset, assign a timestamp to each data point and calculate the average water volume and water pressure in each time period. The calculation formula is: and in, is the water volume of the ith data point, is the water pressure of the ith data point, is the total number of data points, is the average water volume, is the average water pressure; According to the average water volume and average water pressure in each time period, the changing trends of water volume and water pressure are analyzed to obtain the time distribution of regular water use behavior.

3. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the water demand forecast table are: Analyze and determine the peak and trough periods of daily water use from the time distribution of the conventional water use behavior, identify the peak and trough time periods through time series analysis, and generate a list of peak and trough periods of water use; Based on the list of peak and valley water use periods, daily and weekly water use patterns are analyzed, and by counting the water use frequency in each time period and quantifying the fluctuation of water use, the fluctuation of water demand of users in each time period is identified to obtain water use behavior pattern data; Using the water use behavior pattern data, the expected water consumption for each period in the future is listed to develop a water demand forecast table.

4. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the real-time water usage status result are: Receive water consumption data from sensors in real time to obtain water consumption data sets; Based on the water use data set, a comparative analysis is performed with the water use demand forecast table, and by comparing the difference between the real-time data and the forecast data, it is identified whether the current period matches the peak period or the trough period forecast, and a real-time water use status analysis result is obtained; According to the real-time water usage status analysis result, the current water usage status is verified to determine whether it is in a peak period or a trough period, and a real-time water usage status result is generated.

5. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the adjusted water pressure result are: Based on the obtained real-time water usage status results, adjust the operating parameters of the booster pump, including speed and power, to match the current water usage. According to the set values ​​of the adjustment parameters, calculate the theoretical water pressure output of the booster pump after adjustment. The calculation formula is: in, For the adjusted water pressure, To adjust the water pressure before, and are the pump speeds before and after adjustment, and are the power after and before adjustment respectively; Based on calculated adjusted water pressure , monitor the water pressure feedback data, verify the effectiveness of the adjustment, and generate the adjusted water pressure results.

6. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the water pressure fluctuation analysis result are: The adjusted water pressure is continuously monitored and the water pressure readings at each time point are recorded and compiled into a water pressure time series dataset; The water pressure data of each measuring point are extracted from the water pressure time series data set, and the maximum fluctuation value and the average fluctuation value of the water pressure are calculated. The calculation formula is: and in, represents the water pressure value at the i-th measuring point, is the average water pressure, is the total number of data points; According to the maximum fluctuation value and the average fluctuation value, the maximum fluctuation value and the average fluctuation value are compared with a preset safe fluctuation range, and whether abnormal fluctuation exceeds the preset safe range is identified to form a water pressure fluctuation analysis result.

7. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the water pressure stability prediction result are: Based on the water pressure fluctuation analysis results, extracting the maximum fluctuation value and the average fluctuation value; Based on the extracted maximum fluctuation value and average fluctuation value, the stability of water pressure in the future time period is calculated using the following formula: in, represents the predicted water pressure stability index, is the average volatility value extracted from the volatility data, and are the coefficients and thresholds for adjustment; Based on the water pressure stability index, the matching degree with the preset safety standard is analyzed to determine whether adjustment or monitoring is required, thereby forming a water pressure stability prediction result.

8. The control method of the secondary pressurized domestic water supply system according to claim 1, characterized in that: The steps for obtaining the regulatory effect evaluation results are as follows: Obtaining the water pressure stability prediction result, adjusting the starting frequency and power output of the booster pump according to the water pressure stability prediction result to match the predicted demand change, and forming an adjustment parameter setting for the booster pump; Based on the adjustment parameter setting of the booster pump, the starting frequency and power output are changed, and the operation data of the booster pump after the adjustment is monitored in real time to obtain preliminary control implementation results; Through the preliminary control implementation results, it is analyzed whether the adjustment effect has achieved the expected water pressure stability improvement goal, and the control effect evaluation results are generated.

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