Secondary water supply energy efficiency analysis optimization and water age and water quality control method and system

Abstract

The invention relates to the field of secondary water supply systems, in particular to a secondary water supply energy efficiency analysis optimization and water age and water quality control method and system.The method comprises the steps that an upper computer collects data and judges an operation mode, a real efficiency curve can be obtained according to the actual operation situation of a water pump, and the operation reasonability is judged by comparing an ideal curve; then, a targeted optimization strategy is selected, accurate control over pump room pressure, water pump starting and stopping and the like in different operation modes is achieved, meanwhile, the water consumption is predicted, the water supplementing strategy is adjusted, the water age is reduced, an optimization suggestion report is generated finally, comprehensive guidance is provided for system optimization, the energy efficiency of the secondary water supply system is overall improved, and the water age is reduced. The water supply system operation quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of secondary water supply systems, and in particular to a method and system for secondary water supply energy efficiency analysis and optimization and water age and water quality control. Background Art

[0002] The secondary water supply system is a crucial component of urban water supply systems. When the water pressure in the municipal water supply network is insufficient or unable to meet user demand, it uses pumps, tanks, and other equipment to re-pressurize and store water to ensure regular water supply. With the continuous development of urban construction and the improvement of residents' living standards, the scale and complexity of secondary water supply systems are increasing, and the requirements for their energy efficiency and water quality control are also becoming increasingly stringent.

[0003] In the existing technology, secondary water supply systems have many problems. On the one hand, the energy efficiency of water pumps is low. In traditional secondary water supply systems, the operation control method of water pumps is relatively extensive and often cannot be accurately adjusted according to actual water demand. For example, many systems use a power frequency constant pressure water supply method. The water pumps run at a fixed frequency for a long time and maintain the same power output regardless of the water flow rate. This leads to serious energy waste during low-peak water use periods. At the same time, some systems are not reasonable in equipment selection and configuration. The actual operating efficiency of the water pumps is far lower than their rated efficiency, further increasing energy consumption costs.

[0004] On the other hand, water age control measures are insufficient. Water age refers to the length of time water remains in the water supply system. Excessive water age can lead to deterioration in water quality, impacting residents' water safety. Currently, some secondary water supply systems lack effective water age control measures, and water tank replenishment strategies are irrational, often resulting in water remaining in the tank for extended periods and untimely replenishment. Furthermore, the system lacks the flexibility to respond to changes in water demand over time, making it difficult to adjust water tank replenishment based on water usage patterns. Consequently, water age cannot be effectively controlled and water quality cannot be guaranteed.

[0005] Furthermore, existing secondary water supply systems lack comprehensive energy efficiency analysis and optimization mechanisms. While some systems can collect some pump operating parameters, they lack in-depth analysis and effective utilization of this data, making it difficult to accurately assess the actual operating energy efficiency of the pumps and develop targeted optimization strategies. Even when energy efficiency issues are identified, systematic solutions are often lacking, hindering overall improvement in the energy efficiency and operational stability of the secondary water supply system.

[0006] To sum up, the existing secondary water supply system has obvious deficiencies in energy efficiency and water age control. There is an urgent need for a secondary water supply energy efficiency analysis optimization and water age control method and system that can collect data in real time, accurately analyze energy efficiency, and flexibly adjust the operation strategy according to the analysis results, so as to improve the energy efficiency of the secondary water supply system, ensure water quality safety, and reduce operating costs. Summary of the Invention

[0007] The purpose of the present invention is to provide a method and system for secondary water supply energy efficiency analysis and optimization and water age and water quality control to solve the above problems.

[0008] To achieve the above objectives, in one aspect of the present invention, a method for analyzing and optimizing the energy efficiency of secondary water supply and controlling water age is provided, comprising the following steps:

[0009] The host computer collects the water pump operating parameters and water tank status data in real time to determine the current operating mode of the system;

[0010] A true efficiency curve is obtained based on the operating parameters of the water pump, and the true efficiency curve is compared with the ideal efficiency curve to generate an energy efficiency deviation report to determine whether the water pump operation is efficient and reasonable;

[0011] Based on the system's current operating mode and energy efficiency deviation report, the corresponding optimization strategy is selected. This includes: in variable frequency mode, dynamically adjusting the pump room target pressure based on real-time flow and pipe network characteristics; in power frequency mode, controlling the booster pump's water replenishment and the main pump's start and stop based on the roof tank's liquid level threshold and historical water consumption data;

[0012] By analyzing the historical water consumption data to predict future water consumption, the water tank refill strategy is adjusted in different time periods to reduce the water age;

[0013] Generate an optimization suggestion analysis report based on the energy efficiency deviation report and water age analysis results.

[0014] Furthermore, in the secondary water supply energy efficiency analysis and optimization and water age and water quality control method, the water pump operating parameters include at least one of the current, voltage, power, inlet pressure, outlet pressure and flow parameters of each pump; the water tank status data includes a water tank liquid level record table, and the water tank liquid level record table includes valve switch records, water tank model, water tank volume, current water storage in the water tank, water tank water inlet flow, water tank water inlet time, water tank water inlet volume, water tank water outlet flow, valve opening time, valve closing time and at least one of the water inlet valve switch status.

[0015] Furthermore, in the secondary water supply energy efficiency analysis and optimization and water age and water quality control method, the specific steps of generating the energy efficiency deviation report include:

[0016] The effective power of the water pump is evaluated based on the collected flow and pressure;

[0017] Comparing the effective power with the output power to determine the true efficiency of the water pump;

[0018] Compare the actual efficiency with the standard efficiency of the water pump when it leaves the factory, and draw a actual efficiency curve;

[0019] The actual efficiency curve is compared with the ideal efficiency curve corresponding to the factory standard value of the water pump to generate an energy efficiency deviation report.

[0020] Furthermore, in the secondary water supply energy efficiency analysis optimization and water age and water quality control method, in the variable frequency mode, the step of dynamically adjusting the pump room target pressure according to the real-time flow and pipeline network characteristics includes determining the pipe loss based on the real-time flow and pipeline network length, and based on the correlation between the pipe loss and the terminal pressure, calculating the pump room target pressure to be set through the terminal pressure and pipe loss.

[0021] Furthermore, in the secondary water supply energy efficiency analysis optimization and water age and water quality control method, in the power frequency mode, when the number of households supplied by the roof booster pump is small and there is a period of no water use, the booster pump is stopped; and when the flow rate is small, the roof booster pump is subjected to variable pressure control to reduce the set pressure.

[0022] Furthermore, in the secondary water supply energy efficiency analysis and optimization and water age and water quality control method, when adjusting the water tank replenishment strategy in different time periods, a time series model is used to analyze historical water use data. The historical water use data includes at least one of the season, weather and holiday information. The short-term or long-term water consumption is predicted based on the analysis results, and the time and amount of water tank replenishment are dynamically adjusted.

[0023] Furthermore, in the secondary water supply energy efficiency analysis optimization and water age and water quality control method, after generating the optimization suggestion analysis report, at least one of replacing the water pump, modifying the pipeline, and controlling the operating time can be adopted according to the content of the energy efficiency deviation report to optimize the water pump energy consumption, so that the actual efficiency curve fits the ideal efficiency curve.

[0024] In another aspect of the present invention, a secondary water supply energy efficiency analysis and optimization and water age and quality control system is provided, comprising:

[0025] Data acquisition module, used to collect water pump operating parameters and water tank status data in real time through the host computer;

[0026] An energy efficiency analysis module is used to obtain a true efficiency curve based on the operating parameters of the water pump, compare the true efficiency curve with the ideal efficiency curve, generate an energy efficiency deviation report, and determine whether the water pump operation is efficient and reasonable;

[0027] The optimization strategy execution module is used to select the corresponding optimization strategy based on the current system operating mode and energy efficiency deviation reports. This includes dynamically adjusting the pump room target pressure based on real-time flow and pipe network characteristics in variable frequency mode, and controlling the booster pump water replenishment and main pump start and stop in power frequency mode based on the roof water tank level threshold and historical water consumption data;

[0028] The water age control module is used to predict future water consumption by analyzing historical water consumption data, adjust the water tank replenishment strategy by time period to reduce water age, and combine water quality monitoring and temperature monitoring to predict water quality changes, which are used as the basis for correction of water age adjustment;

[0029] And a report generation module is used to generate an optimization suggestion analysis report based on the energy efficiency deviation report and water age analysis results.

[0030] Furthermore, in the secondary water supply energy efficiency analysis and optimization and water age and water quality control system, when the water age control module is in the variable frequency mode, the specific work flow includes:

[0031] Conduct big data statistics on daily water consumption;

[0032] When the water tank level reaches the low limit, the water consumption of the pump room water tank within the water age range after the preset time point is calculated based on big data statistics;

[0033] When the water level in the pump room tank reaches the calculated water level, close the valve.

[0034] Furthermore, in the secondary water supply energy efficiency analysis and optimization and water age and water quality control system, when the water age control module is in the power frequency mode, the specific working process is as follows:

[0035] Conduct big data statistics on daily water consumption;

[0036] When the water tank level reaches the low limit, the water consumption of the pump room water tank and the roof water tank within the water age range after the preset time point are calculated based on big data statistics;

[0037] When the water level in the pump room tank or roof tank reaches the calculated water level, close the valve.

[0038] Compared with the prior art, the present invention has at least the following technical effects:

[0039] The present invention provides a method for analyzing and optimizing the energy efficiency of secondary water supply and controlling the water age and water quality. By collecting data and judging the operation mode through a host computer, a true efficiency curve can be obtained according to the actual operation of the water pump, and the rationality of the operation can be judged by comparing with the ideal curve, and then a targeted optimization strategy can be selected to achieve precise control of the pump room pressure, water pump start and stop, etc. under different operation modes. At the same time, the water consumption is predicted to adjust the water replenishment strategy to reduce the water age. Finally, an optimization suggestion report is generated to provide comprehensive guidance for system optimization, thereby improving the energy efficiency of the secondary water supply system as a whole, reducing the water age, and improving the operation quality of the water supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of a method for analyzing and optimizing the energy efficiency of secondary water supply and controlling water age and quality in accordance with an embodiment of the present invention;

[0041] Figure 2 This is a logic flow chart of a method for analyzing and optimizing secondary water supply energy efficiency and controlling water age and quality, taking a variable frequency mode as an example, in one embodiment of the present invention;

[0042] Figure 3 This is a logic flow chart of a method for analyzing and optimizing the energy efficiency of secondary water supply and controlling water age and quality, taking the power frequency mode as an example, in one embodiment of the present invention;

[0043] Figure 4 This is a logic flow chart of water age control in variable frequency mode according to one embodiment of the present invention;

[0044] Figure 5 The figure is a logic flow chart of water age control in the power frequency mode according to one embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following is a more detailed description of a secondary water supply energy efficiency analysis and optimization and water age and water quality control method and system of the present invention, with reference to schematic diagrams. Preferred embodiments of the present invention are shown, and it should be understood that those skilled in the art may modify the present invention described herein while still achieving the beneficial effects of the present invention. Therefore, the following description should be understood as generally known to those skilled in the art and not as a limitation of the present invention.

[0046] For the sake of clarity, not all features of actual embodiments are described. In the following description, well-known functions and structures are not described in detail because they would obscure the present invention with unnecessary detail. It should be understood that in the development of any actual embodiment, numerous implementation details must be made to achieve the developer's specific goals, such as adapting from one embodiment to another to accommodate system or business constraints. Furthermore, it should be understood that such development work may be complex and time-consuming, but is nevertheless a routine undertaking for those skilled in the art.

[0047] The following paragraphs describe the present invention in more detail by way of example with reference to the accompanying drawings. The advantages and features of the present invention will become more apparent from the following description. It should be noted that the drawings are greatly simplified and not to exact scale, and are provided solely for the purpose of assisting in the description of the embodiments of the present invention.

[0048] Based on the teachings of this specification, those skilled in the art may form new technical solutions by cross-combining different implementation methods without generating technical contradictions. Such variations should be deemed to fall within the scope of protection of this patent.

[0049] Example 1

[0050] like Figure 1 As shown, the present invention provides a method for analyzing and optimizing the energy efficiency of secondary water supply and controlling water age and water quality, comprising the following steps:

[0051] S1: The host computer collects the water pump operating parameters and water tank status data in real time to determine the current operating mode of the system;

[0052] S2: deriving a true efficiency curve based on the water pump operating parameters, comparing the true efficiency curve with the ideal efficiency curve, generating an energy efficiency deviation report, and determining whether the water pump operation is efficient and reasonable;

[0053] S3: Based on the current operating mode of the system and the energy efficiency deviation report, a corresponding optimization strategy is selected, including: in variable frequency mode, dynamically adjusting the pump room target pressure based on real-time flow and pipe network characteristics; in power frequency mode, controlling the booster pump water replenishment and main pump start and stop based on the roof water tank level threshold and historical water consumption data;

[0054] S4: predicting future water consumption by analyzing the historical water consumption data, and adjusting the water tank replenishment strategy by time period to reduce the water age;

[0055] S5: Generate an optimization suggestion analysis report based on the energy efficiency deviation report and water age analysis results.

[0056] In the process of real-time data collection by the host computer in step S1, the data includes water pump operating parameters and water tank status data.

[0057] In this embodiment, the water pump operating parameters include at least one of the current, voltage, power, inlet pressure, outlet pressure, and flow rate parameters of each pump. Various sensors can be used for data acquisition, such as a current sensor to collect the current of each pump, a voltage sensor to collect the voltage, a power sensor to collect the power, a pressure sensor to collect the inlet and outlet pressures, and a flow sensor to collect the flow rate. These sensors convert the collected analog signals into digital signals and transmit them to a host computer via a communication interface (such as RS-485, Ethernet, etc.). In this embodiment, the host computer is an industrial computer.

[0058] Regarding water tank status data, the water tank status data includes a water tank liquid level record table, which includes at least one of valve switch records, water tank model, water tank capacity, current water tank storage, water tank inflow rate, water tank inflow duration, water tank inflow volume, water tank outflow rate, valve opening time, valve closing time, and water inlet valve switch status. The liquid level can be collected using a liquid level sensor, and the valve switch status can be obtained using a limit switch or electromagnetic sensor. At the same time, static data such as the water tank model and capacity, as well as dynamic data such as water inflow flow rate, duration, and water inflow volume, are recorded and aggregated in the host computer.

[0059] The host computer then analyzes the collected pump operating parameters and water tank status data. For example, if the pump speed can be adjusted in real time based on flow demand and the motor frequency varies within a certain range, the system is considered to be in variable frequency mode. If the pump runs at a fixed speed and the motor frequency is constant, the system is considered to be in power frequency mode.

[0060] In step S2, the specific steps of generating the energy efficiency deviation report are as follows:

[0061] S21: Evaluate and obtain the effective power of the water pump based on the collected flow and pressure.

[0062] S22: Compare the effective power and the output power to determine the actual efficiency of the water pump.

[0063] S23: Compare the actual efficiency with the standard efficiency of the water pump when it leaves the factory, and draw a actual efficiency curve.

[0064] S24: Compare the actual efficiency curve with the ideal efficiency curve corresponding to the factory standard value of the water pump to generate an energy efficiency deviation report.

[0065] Specifically, in step S21, the effective power of the water pump is calculated based on the collected flow and pressure data according to the fluid mechanics formula. For example, effective power Pe = ρgQH, where ρ is the density of water, g is the acceleration due to gravity, Q is the flow rate, and H is the head (which can be calculated from the inlet and outlet pressure difference).

[0066] In step S22, the effective power is compared with the output power of the water pump (which can be calculated by collecting the current, voltage and power factor) to calculate the real efficiency of the water pump ηr = Po / Pe, where Po is the output power.

[0067] In step S23, the above calculation process is repeated under different flow and pressure conditions to obtain multiple real efficiency data points. A real efficiency curve is drawn with flow as the horizontal axis and real efficiency as the vertical axis.

[0068] In step S24, the actual efficiency curve is compared with the ideal efficiency curve corresponding to the standard efficiency of the pump at the factory. The efficiency difference between the two curves at different flow rates is calculated, and the range and trend of the efficiency deviation are analyzed. Based on the analysis results, an energy efficiency deviation report is generated. The report should include the efficiency deviation value, the operating point with the largest deviation, and the evaluation conclusion of the pump's operating efficiency, thereby determining whether the pump is operating efficiently and reasonably.

[0069] Regarding step S3, in the variable frequency mode, the step of dynamically adjusting the target pressure of the pump room according to the real-time flow rate and the characteristics of the pipe network includes calculating the pipe loss according to the real-time flow rate and the length of the pipe network using an empirical formula or a pipe network hydraulic model. For example, for a simple pipe network system, the head loss formula h can be used. f =λ(L / d)(v 2 / 2g) to calculate the head loss along the way, where λ is the resistance coefficient along the way, L is the pipe network length, d is the pipe diameter, and v is the flow velocity. Based on the correlation between terminal pressure and pipe loss, the required pump room target pressure is calculated using the formula Pt = Pe + hf, where Pt is the pump room target pressure and Pe is the terminal pressure. The host computer adjusts the pump speed based on the calculation results, thereby dynamically adjusting the pump room target pressure.

[0070] In power frequency mode, historical water consumption data is first collected. This data includes information such as water consumption over different time periods and roof tank level changes. Through data analysis, the roof tank level threshold and water usage patterns during different time periods are determined. When the roof booster pump is supplying water to a small number of households or when no one is using the water, the host computer sends a control signal to stop the booster pump. When flow is low, variable pressure control is used to reduce the set pressure of the roof booster pump. Simultaneously, the main pump is started and stopped based on the roof tank level threshold and historical water consumption data to ensure the tank water level remains within a reasonable range.

[0071] In step S4, the historical water consumption data is cleaned and preprocessed to remove outliers and missing values. The data is sorted according to time series, including information such as season, weather, holidays, etc. Select a suitable time series model, such as ARIMA (autoregressive integrated moving average model), LSTM (long short-term memory network), etc. Use historical water consumption data to train the model, adjust the model parameters, and improve the prediction accuracy of the model. Using the trained model, predict the water consumption in different time periods in the future based on the current time, season, weather and other information. According to the predicted water consumption, adjust the time and amount of water tank replenishment in different time periods. For example, appropriately increase the amount of water replenishment before the peak water consumption period, and reduce the amount of water replenishment during the low water consumption period to reduce the residence time of water in the water tank and reduce the water age.

[0072] Further, such as Figure 4 As shown in the figure, the specific steps for water age control in variable frequency mode include: first, collecting daily water consumption statistics. When the water tank level reaches the low limit, the water consumption of the pump room water tank within the water age range after that time is analyzed based on the big data statistics. When the calculated water level is reached, the electric valve is closed to adjust the water tank replenishment strategy and reduce the water age. At the same time, water quality and temperature monitoring are combined to predict water quality changes, which are used as corrections for water age adjustment.

[0073] Further, such as Figure 5As shown in the figure, the specific steps for water age control in power frequency mode include: first, collecting daily water consumption data statistics. When the water tank level reaches the low limit, the water consumption of the pump room water tank in the water age range after that time point is analyzed based on the big data statistics. When the calculated water level is reached, the electric valve is closed. At the same time, the water consumption of the roof water tank in the water age range after that time point is also analyzed. Based on the analysis results, the water tank replenishment strategy is adjusted to reduce the water age. At the same time, water quality monitoring and temperature monitoring are combined to predict water quality changes, which are used as the basis for corrective water age adjustment.

[0074] In step S5, the energy efficiency deviation report is carefully reviewed to determine the causes of low pump efficiency, such as improper pump selection, excessive pipe resistance, and improper operating parameter settings. The water age analysis results are analyzed to identify periods and causes of excessive water age, such as an unreasonable water tank replenishment strategy and large fluctuations in water consumption. Based on the analysis results of energy efficiency and water age issues, specific optimization recommendations are formulated. For example, for energy efficiency issues, recommendations may include replacing high-efficiency pumps, modifying pipes to reduce resistance, and adjusting operating parameters. For water age issues, recommendations may include optimizing the water tank replenishment strategy and increasing the number of water tank cycles. Finally, the energy efficiency analysis, water age analysis, and optimization recommendations are integrated into a single report to generate an optimization recommendation analysis report. The report should have a clear structure and detailed content to provide a strong reference for optimizing the secondary water supply system.

[0075] Example 2

[0076] like Figure 2 As shown, the following is a detailed process of an embodiment of a secondary water supply energy efficiency analysis and optimization and water age and water quality control method using the variable frequency mode as an example:

[0077] First, the variable frequency water supply unit is in standby mode, ready for operation. At this point, the host computer collects real-time operating parameters such as pressure, flow, and power for each pump, as well as total outlet pipe flow and pressure data. This data provides a clear understanding of the pump's current operating status and the overall water supply system, providing a solid foundation for subsequent pump energy efficiency evaluation and optimization.

[0078] Next, based on the collected data, an in-depth evaluation of the water pump's operating energy efficiency is conducted, and the water pump's true efficiency curve is obtained through analysis and calculation. Specifically, the effective power of the water pump is first obtained based on the flow rate and pressure evaluation, and then the effective power is compared with the output power to determine the true efficiency of the water pump. After obtaining multiple true efficiency data points under different operating conditions, a true efficiency curve is drawn with the flow rate as the horizontal axis and the true efficiency as the vertical axis. The true efficiency curve is then compared with the ideal efficiency curve corresponding to the standard efficiency of the water pump when it leaves the factory, and an energy efficiency deviation report is generated to determine whether the water pump's operation is efficient and reasonable. Through this evaluation link, problems in the water pump's operation can be accurately located, indicating the direction for subsequent optimization operations.

[0079] If it's determined that pump operation is problematic and requires optimization, variable pressure control is used to optimize pump operation. Based on various parameters such as pipe network pressure, flow rate, and power, the pressure is flexibly adjusted according to flow rate. When flow rate is low, the set pressure is automatically lowered to avoid energy waste caused by excessive pressure when flow demand is low. For example, at night, when water consumption generally decreases, lowering the pressure can reduce pump energy consumption and avoid unnecessary losses in the pipe network. The system then further optimizes the pump's operating status based on flow demand, monitoring actual water flow in real time and fine-tuning operating parameters such as pump speed to ensure that the pump meets current water supply needs while minimizing energy consumption. For example, if water flow suddenly increases, the speed is adjusted promptly to ensure stable water supply. When flow returns to normal, the system switches to an energy-saving mode. The system records relevant data in detail throughout the entire process.

[0080] On the other hand, water age optimization is achieved by adjusting the control principle of the water inlet valve according to the water level in the water tank. Pay close attention to the speed of change of the water level in the water tank, and automatically set the next water replenishment time (for example, 6 hours) according to the speed. If the water level drops quickly, the water replenishment time will be extended to replenish enough water. If the water level drops slowly, the water replenishment time will be shortened. At the same time, the minimum water level in the water tank is set to 25% of the daily water consumption to ensure the stability of water supply in response to sudden water consumption peaks. After completing the relevant control operations of the water tank water level, the working status of the water pump is also optimized according to the flow demand, and the water pump operating parameters are accurately adjusted according to the actual water flow to achieve the dual goals of energy saving and stable water supply. This process also records all action data in detail.

[0081] Finally, a comprehensive and in-depth analysis was conducted based on all the data recorded during the two optimization operations described above. This data was sorted out and studied to clearly understand the specific changes in pump energy efficiency after the implementation of different optimization strategies, including energy consumption reduction, improved water supply stability, and changes in equipment life expectancy. A detailed energy efficiency analysis report was then generated based on the analysis results. The report presented the specific analysis results of each data point and, based on the results, provided recommendations for the optimal equipment composition for the pump station. For example, recommendations could be made to replace pumps with high energy consumption with newer, energy-efficient models or to adjust unreasonable equipment configuration parameters, thus completing the secondary water supply energy efficiency analysis and optimization process under variable frequency mode.

[0082] Example 3

[0083] like Figure 3 As shown, the following is a detailed process of an embodiment of a secondary water supply energy efficiency analysis and optimization and water age and water quality control method using the power frequency mode as an example:

[0084] First, the power-frequency water supply unit is in standby mode, ready for operation. At this point, the host computer collects real-time operating parameters such as pressure, flow, and power of each water pump, as well as total outlet pipe flow and pressure data. This data forms the basis for subsequent analysis.

[0085] Next, based on the collected data, the true efficiency curve of the pump is analyzed and calculated. Specifically, the effective power of the pump is first evaluated based on flow rate and pressure. The effective power is then compared with the output power to determine the true efficiency of the pump. After obtaining multiple true efficiency data points under different operating conditions, a true efficiency curve is plotted with flow rate as the horizontal axis and true efficiency as the vertical axis. The true efficiency curve is then compared with the ideal efficiency curve corresponding to the standard efficiency of the pump at the factory. An energy efficiency deviation report is generated to determine whether the pump is operating efficiently and reasonably.

[0086] If it is determined that there are problems with the pump operation and optimization is required, when the system is in power frequency mode:

[0087] Roof tank booster pump optimization: An assessment revealed that roof booster pumps consume significant energy. A variable pressure control strategy was implemented, reducing the set pressure when flow rates are low. This effectively reduces energy consumption, as water supply in these conditions does not require excessively high pressure. During periods when the roof booster pumps are supplying fewer households or when no one is using the water, the pumps can be stopped to avoid wasting energy. Subsequently, based on actual water flow demand, the pumps' operating status can be further refined to conserve energy while still meeting water supply needs. Detailed data should be recorded throughout the entire process to inform subsequent energy efficiency analysis.

[0088] Optimizing the variable frequency control of the pump room's water tank pumps: Changing the operating mode of the overall pump room's water tank pumps to variable frequency control prevents pump clogging when multiple water tanks are filled. This can reduce pump efficiency, increase energy consumption, and even damage equipment. After completing the variable frequency control modification, the pump's operating parameters are dynamically adjusted based on real-time flow data to maintain efficient operation. All data during the operation is recorded in detail for subsequent analysis.

[0089] Optimizing water age based on demand: Based on rooftop water tank level signals fed back to the machine room, the system controls water inflow and level in the tanks and their electric valves. This optimizes water age in real time to within six hours, while also setting the minimum tank level at 25% of daily water consumption. This ensures water quality and stability, preventing water degradation caused by prolonged retention in the system or low tank levels that could impact water supply.

[0090] The next water replenishment time is automatically set based on the rate of change in the tank liquid level. Faster level changes extend the replenishment time, and vice versa. The tank replenishment amount is automatically determined based on the water balance relationship: pipe network replenishment + pump room tank water level = roof tank replenishment. Water age is further optimized in real time and the minimum water level is set, precisely controlling the water age and level. Detailed data is recorded during operation to accumulate information for energy efficiency analysis.

[0091] In addition, water replenishment operations are carried out during the low-peak period of water consumption at night, finding a balance between ensuring that the water age meets the requirements and energy saving, and reasonably controlling the water replenishment volume and time. All data are also recorded during the operation to provide support for energy efficiency analysis.

[0092] Finally, all the data recorded during the operation is analyzed in depth to produce an energy efficiency analysis report. This report presents the energy efficiency status of each link in the current water supply system and evaluates the effectiveness of the optimization strategy implementation. Based on the analysis results, it recommends the optimal equipment composition for the pump station, such as whether to replace energy-saving pump models and adjust equipment configuration parameters. This completes the secondary water supply energy efficiency analysis and optimization and water age control process under the power frequency mode.

[0093] Example 4

[0094] In this embodiment, a secondary water supply energy efficiency analysis optimization and water age and water quality control system is proposed, which includes a data acquisition module, an energy efficiency analysis module, an optimization strategy execution module, a water age control module and a report generation module.

[0095] The data acquisition module is used to collect water pump operating parameters and water tank status data in real time through the host computer. The water pump operating parameters include at least one of the current, voltage, power, inlet pressure, outlet pressure and flow parameters of each pump. The water tank status data includes a water tank liquid level record table. The water tank liquid level record table includes at least one of valve switch records, water tank model, water tank volume, current water storage in the water tank, water tank inlet flow, water tank water filling time, water tank inlet volume, water tank outlet flow, valve opening time, valve closing time and water inlet valve switch status.

[0096] The energy efficiency analysis module is used to obtain a real efficiency curve based on the operating parameters of the water pump, compare the real efficiency curve with the ideal efficiency curve, generate an energy efficiency deviation report, and judge whether the operation of the water pump is efficient and reasonable. The energy efficiency analysis module generates the energy efficiency deviation report specifically in the following ways: based on the collected flow and pressure evaluation, the effective power of the water pump is obtained, the effective power is compared with the output power to determine the real efficiency of the water pump, the real efficiency is compared with the standard efficiency of the water pump when it leaves the factory to draw a real efficiency curve, and the real efficiency curve is compared with the ideal efficiency curve corresponding to the factory standard value of the water pump to generate an energy efficiency deviation report.

[0097] The optimization strategy execution module is used to select the corresponding optimization strategy according to the current operating mode of the system and the energy efficiency deviation report. In the variable frequency mode, the pipe loss is determined according to the real-time flow and the length of the pipeline network. Based on the correlation between the pipe loss and the terminal pressure, the target pressure of the pump room to be set is calculated by the terminal pressure and the pipe loss, and the target pressure of the pump room is dynamically adjusted. In the working frequency mode, combined with the roof water tank level threshold and historical water use data, the booster pump is stopped when the number of households supplied by the roof booster pump is small and there is a period of no water use. When the flow rate is small, the roof booster pump is controlled by variable pressure to reduce the set pressure, so as to control the water replenishment of the booster pump and the start and stop of the main pump.

[0098] The water age control module is used to use a time series model to analyze historical water consumption data containing at least one of seasonal, weather, and holiday information, predict short-term or long-term water consumption based on the analysis results, adjust the water tank replenishment strategy by time period, and dynamically adjust the time and amount of water tank replenishment to reduce water age. At the same time, it combines water quality monitoring and temperature monitoring to predict changes in water quality and use them as the basis for correction of water age adjustment.

[0099] The report generation module is used to collect static data such as pipe network topology, equipment service life, maintenance records, etc. according to the energy efficiency deviation report and water age analysis results, and generate an optimization suggestion analysis report. It can also optimize the energy consumption of the water pump by replacing the water pump, renovating the pipeline, and controlling the operating time according to the content of the energy efficiency deviation report, so that the actual efficiency curve fits the ideal efficiency curve.

[0100] It should be noted that the report generation module has a dynamic interactive function that can implement the following operations: when users or technicians review the optimization suggestion analysis report, if they have questions about the energy efficiency optimization plan, water age control strategy, etc. in the report (such as questioning the economic feasibility of replacing the water pump model or the rationality of the water replenishment period), they can directly initiate interaction through the system interface and feedback specific questions to the system. After receiving feedback, the system supports a multi-round adjustment mechanism:

[0101] Data backtracking and analysis: Automatically retrieve historically collected original data such as pump operating parameters (such as current, voltage, and power), water tank status data (such as liquid level changes and water replenishment volume), and efficiency curve comparison results in energy efficiency deviation reports, and re-analyze the root cause of the problem based on user questions.

[0102] Dynamic solution revision: Based on adjustments to user demand objectives (such as prioritizing energy consumption reduction or water quality assurance) or specific requirements for local optimization (such as adjusting operating hours without replacing equipment), the system generates alternative solutions based on built-in algorithms. For example, if a user believes that "replacing a water pump" is too costly, the system can automatically add a local optimization solution of "modifying pipes to reduce resistance + optimizing operating parameters" and recalculate the expected energy efficiency improvement. If a user wishes to shorten the water age control period, the system can re-forecast water consumption based on historical water use data, adjust the water replenishment period and amount, and generate a new water age control strategy.

[0103] Visual display and verification: The adjusted plan is presented in a visual form (such as comparison charts, process diagrams), showing key indicators such as the energy efficiency improvement effect and water age change trend of different plans for user verification and decision-making.

[0104] Through the above-mentioned dynamic interaction mechanism, the system can flexibly optimize suggestions according to actual needs, realize the upgrade from "single report generation" to "interactive solution iteration", and improve the accuracy and adaptability of secondary water supply system optimization.

[0105] Furthermore, the water age control module first performs big data statistics on daily water consumption in the variable frequency mode. When the water tank liquid level reaches the low limit, the water consumption of the pump room water tank in the water age period after that time point is analyzed based on big data statistics. When the water level of the pump room water tank reaches the calculated water level, the electric valve is closed to adjust the water tank water replenishment strategy and reduce the water age.

[0106] Furthermore, the water age control module operates in the power frequency mode, and the specific working steps include:

[0107] First, conduct big data statistics on daily water consumption. When the water tank level reaches the low limit, analyze the water consumption of the pump room water tank within the water age period after that time point based on big data statistics. When the water level in the pump room water tank reaches the calculated water level, close the electric valve. At the same time, analyze the water consumption of the rooftop water tank within the water age period after that time point and, based on the analysis results, assist in adjusting the water tank replenishment strategy to reduce the water age.

[0108] In summary, the present invention provides a secondary water supply energy efficiency analysis and optimization and water age and water quality control method and system. By collecting data and judging the operating mode through the upper computer, the real efficiency curve can be obtained according to the actual operation of the water pump, and the rationality of the operation can be judged by comparing with the ideal curve, and then targeted optimization strategies can be selected to achieve precise control of the pump room pressure, water pump start and stop, etc. under different operating modes. At the same time, the water consumption is predicted to adjust the water replenishment strategy to reduce the water age. Finally, an optimization recommendation report is generated to provide comprehensive guidance for system optimization, thereby improving the energy efficiency of the secondary water supply system as a whole, reducing the water age, and improving the operation quality of the water supply system.

[0109] The above description is merely a preferred embodiment of the present invention and does not limit the present invention in any way. Any person skilled in the art who, without departing from the scope of the present invention, makes any equivalent substitution, modification, or other changes to the technical solution and technical content disclosed in the present invention shall be deemed to be within the scope of the present invention and still fall within the scope of protection of the present invention.

Claims

1. A method for analyzing and optimizing the energy efficiency of secondary water supply and controlling water age and water quality, characterized in that: The following steps are involved: The host computer collects the water pump operating parameters and water tank status data in real time to determine the current operating mode of the system; A true efficiency curve is obtained based on the operating parameters of the water pump, and the true efficiency curve is compared with the ideal efficiency curve to generate an energy efficiency deviation report to determine whether the water pump operation is efficient and reasonable; Based on the system's current operating mode and energy efficiency deviation report, the corresponding optimization strategy is selected. This includes: in variable frequency mode, dynamically adjusting the pump room target pressure based on real-time flow and pipe network characteristics; in power frequency mode, controlling the booster pump's water replenishment and the main pump's start and stop based on the roof tank's liquid level threshold and historical water consumption data; By analyzing the historical water consumption data to predict future water consumption, the water tank refill strategy is adjusted in different time periods to reduce the water age; Generate an optimization suggestion analysis report based on the energy efficiency deviation report and water age analysis results.

2. The secondary water supply energy efficiency analysis and optimization and water age and water quality control method according to claim 1 is characterized in that: The water pump operating parameters include at least one of the current, voltage, power, inlet pressure, outlet pressure and flow parameters of each pump; the water tank status data includes a water tank liquid level record table, and the water tank liquid level record table includes at least one of valve switch records, water tank model, water tank volume, current water storage in the water tank, water tank inlet flow, water tank water filling time, water tank inlet volume, water tank outlet flow, valve opening time, valve closing time and water inlet valve switch status.

3. The secondary water supply energy efficiency analysis and optimization and water age and water quality control method according to claim 1 is characterized in that: The specific steps of generating the energy efficiency deviation report include: The effective power of the water pump is evaluated based on the collected flow and pressure; Comparing the effective power with the output power to determine the true efficiency of the water pump; Compare the actual efficiency with the standard efficiency of the water pump when it leaves the factory, and draw a actual efficiency curve; The actual efficiency curve is compared with the ideal efficiency curve corresponding to the factory standard value of the water pump to generate an energy efficiency deviation report.

4. The secondary water supply energy efficiency analysis and optimization and water age and water quality control method according to claim 1 is characterized in that: In the variable frequency mode, the step of dynamically adjusting the pump room target pressure according to the real-time flow and pipeline network characteristics includes determining the pipe loss based on the real-time flow and the pipeline network length, and based on the correlation between the pipe loss and the terminal pressure, calculating the pump room target pressure to be set through the terminal pressure and pipe loss.

5. The secondary water supply energy efficiency analysis and optimization and water age and water quality control method according to claim 1 is characterized in that: In the power frequency mode, when the number of households supplied by the roof booster pump is small and there is a period of no water use, the booster pump will be stopped; and when the flow rate is small, the roof booster pump will be controlled by variable pressure to reduce the set pressure.

6. The secondary water supply energy efficiency analysis and optimization and water age and water quality control method according to claim 1 is characterized in that: When adjusting the water tank replenishment strategy by time period, a time series model is used to analyze historical water consumption data, which includes at least one of season, weather and holiday information. Based on the analysis results, short-term or long-term water consumption is predicted, and the time and amount of water tank replenishment are dynamically adjusted.

7. The secondary water supply energy efficiency analysis and optimization and water age and water quality control method according to claim 1 is characterized in that: After generating the optimization suggestion analysis report, at least one of replacing the water pump, renovating the pipeline, and controlling the operating time can be adopted to optimize the water pump energy consumption according to the content of the energy efficiency deviation report, so that the actual efficiency curve fits the ideal efficiency curve.

8. A secondary water supply energy efficiency analysis and optimization and water age and water quality control system, characterized in that: include: Data acquisition module, used to collect water pump operating parameters and water tank status data in real time through the host computer; An energy efficiency analysis module is used to obtain a true efficiency curve based on the operating parameters of the water pump, compare the true efficiency curve with the ideal efficiency curve, generate an energy efficiency deviation report, and determine whether the water pump operation is efficient and reasonable; The optimization strategy execution module is used to select the corresponding optimization strategy based on the current system operating mode and energy efficiency deviation reports. This includes dynamically adjusting the pump room target pressure based on real-time flow and pipe network characteristics in variable frequency mode, and controlling the booster pump water replenishment and main pump start and stop in power frequency mode based on the roof water tank level threshold and historical water consumption data; The water age control module is used to predict future water consumption by analyzing historical water consumption data, adjust the water tank replenishment strategy by time period to reduce water age, and combine water quality monitoring and temperature monitoring to predict water quality changes, which are used as the basis for correction of water age adjustment; And a report generation module is used to generate an optimization suggestion analysis report based on the energy efficiency deviation report and water age analysis results.

9. The secondary water supply energy efficiency analysis and optimization and water age and water quality control system according to claim 8, characterized in that: When the water age control module is in variable frequency mode, the specific working process includes: Conduct big data statistics on daily water consumption; When the water tank level reaches the low limit, the water consumption of the pump room water tank within the water age range after the preset time point is calculated based on big data statistics; When the water level in the pump room tank reaches the calculated water level, close the valve.

10. The secondary water supply energy efficiency analysis and optimization and water age and water quality control system according to claim 8, characterized in that: When the water age control module is in the power frequency mode, the specific working process is as follows: Conduct big data statistics on daily water consumption; When the water tank level reaches the low limit, the water consumption of the pump room water tank and the roof water tank within the water age range after the preset time point are calculated based on big data statistics; When the water level in the pump room tank or roof tank reaches the calculated water level, close the valve.

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