Digital pump intelligent measurement method and system based on vortex prevention and non-return functions

Abstract

The invention belongs to the technical field of digital pump measurement, and particularly relates to a digital pump intelligent measurement method and system based on vortex prevention and non-return functions, and the method comprises the steps: obtaining the real-time flow rate, pressure and rotating speed data of a digital pump at the start-stop time and continuous working time periods, and the closing rate of a non-return valve; simultaneously acquiring a rotating speed-flow speed-pressure change biaxial curve and a pressure difference change curve in a normal state; thirdly, inputting the real-time data into a built-in curve function, and obtaining a corresponding curve slope oscillation value at each moment in combination with a normal state curve; secondly, the curve slope oscillation value and the check valve closing rate are input into a double-path multi-stage difference control model, and a difference speed regulation instruction and a check control instruction are generated; and finally, the instructions are input into a control system configured for the digital pump, the rotating speed of the digital pump is adjusted in real time, non-return control is carried out, and the operation stability and reliability of the digital pump are effectively improved.

Description

Technical Field

[0001] The invention belongs to the technical field of digital pump measurement, and in particular relates to a digital pump intelligent measurement method and system based on anti-eddy current and non-return functions. Background Art

[0002] In industrial production and various fluid delivery systems, digital pumps are key equipment, and their performance is crucial to the operating efficiency and stability of the entire system. Traditional digital pumps face many challenges when dealing with complex pipe network system operating environments. On the one hand, eddy currents often occur in pipe network systems. The generation of eddy currents not only causes energy loss and reduces pump efficiency, but may also cause pipeline vibration, increased noise, and other problems. In severe cases, it may even affect the service life of pipelines and equipment. On the other hand, in some application scenarios where fluid backflow needs to be prevented, ordinary digital pumps lack effective check measures. Once fluid backflow occurs, the pump body may be damaged, or the system pressure may be unstable, affecting the normal progress of the entire process; the existing check valve control lacks dynamic matching with real-time pressure difference, position and backflow distance, and the closing rate is fixed, making it difficult to quickly suppress backflow in different scenarios. In addition, the pressure fluctuation differences at different locations such as pipe bends and straight sections have not been quantitatively analyzed, resulting in a lack of pertinence in the strategies for anti-eddy current and check control. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention proposes a digital pump intelligent measurement method and system based on anti-vortex and non-return functions, wherein the digital pump intelligent measurement method based on anti-vortex and non-return functions includes: obtaining the real-time flow rate, pressure, speed data of the digital pump start-stop time and the continuous working time period, as well as the check valve closing rate, and obtaining the speed-flow rate-pressure change dual-axis curve and the pressure difference change curve under normal conditions. Then, the real-time data is input into the built-in curve function, combined with the normal state curve, to obtain the corresponding curve slope oscillation value at each moment; secondly, the curve slope oscillation value and the check valve closing rate are input into the dual-path multi-level differential control model to generate differential speed regulation instructions and non-return control instructions; finally, these instructions are input into the control system configured by the digital pump to adjust the speed of the digital pump in real time and perform non-return control, effectively improving the stability and reliability of the operation of the digital pump.

[0004] To achieve the above object, the present invention provides the following technical solutions: The digital pump intelligent measurement method based on anti-vortex and non-return functions includes: Obtain the real-time flow rate, pressure, speed data, check valve closing rate, speed-flow rate-pressure change biaxial curve and pressure difference change curve of the digital pump start-stop time and continuous working time period; Input the real-time flow rate, pressure and speed data into the built-in speed-flow rate-pressure change dual-axis curve function and pressure difference change curve function, and combine the speed-flow rate-pressure change dual-axis curve and pressure difference change curve under normal conditions to obtain the corresponding curve slope oscillation value at each moment; Input the corresponding curve slope oscillation value at each moment and the simulated pressure difference-check rate function into the configured dual-path multi-level difference control model to generate differential speed regulation instructions and check control instructions; The differential speed regulation command and the check control command are input into the control system of the digital pump configuration to perform real-time digital pump speed regulation and check control.

[0005] Specifically, the pressure includes the water pressure at the inlet and outlet of the digital pump, the impact pressure of the straight pipeline and the impact pressure at the pipeline bend; the steps of obtaining the speed-flow rate-pressure change biaxial curve and the pressure difference change curve under the normal state include: Obtain the flow rate, pressure, and speed data of the historical digital pump start and stop times and continuous working time periods, and intercept the flow rate, pressure, and speed data fragments of the corresponding time period without eddy current and backflow, and splice them in the time dimension to construct normal operation data; Based on the flow rate, rotation speed and pressure in the normal operation data, a rotation speed-flow rate-pressure biaxial change curve under normal conditions is constructed; Based on the water pressure at the inlet and outlet of the digital pump, the impact pressure at the straight pipe and the impact pressure at the pipe bend in the normal operation data, the pressure difference under normal conditions is obtained; According to the pressure difference under the normal state, a pressure difference variation curve under the normal state is constructed with time as the horizontal axis and the pressure difference corresponding to time.

[0006] Specifically, the speed-flow rate-pressure dual-axis variation curve includes a speed-flow rate curve and a flow rate-pressure curve; the speed-flow rate-pressure dual-axis variation curve uses the speed as the horizontal axis, the flow rate as the left vertical axis, and the pressure as the right vertical axis in the dual-axis coordinate system for the dual-axis coordinate system; The rotation speed-flow rate curve and the flow rate-pressure curve are aligned with the flow rate as the alignment dimension variable, and the flow rate dependent variable corresponding to each point in the rotation speed-flow rate curve is used as the independent variable of the flow rate-pressure curve.

[0007] Specifically, the steps for obtaining the slope oscillation value of the curve corresponding to each moment include: Based on the flow rate, pressure and speed data of the historical start and stop time of the digital pump and the continuous working time period, the speed-flow rate function and flow rate-pressure function are respectively fitted by the nonlinear radial kernel function in the convolutional neural network. Based on the speed-flow rate function and the flow rate-pressure function, a corresponding real-time speed-flow rate curve and a real-time flow rate-pressure curve are obtained; The speed-flow rate curve and flow rate-pressure curve are configured in the coordinate system corresponding to the speed-flow rate-pressure dual-axis change curve under normal conditions, and the real-time speed-flow rate curve and real-time flow rate-pressure curve are aligned with the speed-flow rate curve and flow rate-pressure curve under normal conditions on the horizontal coordinate.

[0008] Specifically, the step of obtaining the slope oscillation value of the curve corresponding to each moment also includes: Based on the real-time speed-flow rate curve and the speed-flow rate curve under normal conditions, obtaining a first real-time slope value corresponding to each coordinate point in the real-time speed-flow rate curve and a first normal slope value of the corresponding coordinate point of the speed-flow rate curve under normal conditions; Obtaining a first slope oscillation value based on a difference between the first real-time slope value and the first normal slope value; Similarly, based on the real-time flow rate-pressure curve and the flow rate-pressure curve under normal conditions, the difference between the corresponding second real-time slope value and the second normal slope value is obtained to obtain the second slope oscillation value; The first slope oscillation value is used as the dependent variable and the second slope oscillation value is used as the independent variable to obtain the pressure-speed abnormal oscillation mapping function, and the real-time speed-flow rate curve and the real-time flow rate-pressure curve are aligned with the speed-flow rate curve and the flow rate-pressure curve under normal conditions.

[0009] Specifically, the process of obtaining the pressure difference-check rate function of the simulation includes: Through simulation, we can obtain the pressure difference between the water inlet pressure and the water outlet pressure, the impact pressure of the straight pipe and the impact pressure at the pipe bend when the digital pump has backflow, the backflow distance between the pressure difference point at the water inlet and the check valve, and the average reaction rate of the check valve successfully checking when backflow occurs; Obtain the pressure difference sequence based on the inlet pressure, outlet pressure, straight pipe impact pressure and pipe bend impact pressure , and ,in Represents the import and export pressure difference subsequence, represents the pressure difference subsequence between the water inlet and the impact pressure of the straight pipe, The pressure difference subsequence between the water inlet and the impact pressure at the pipe bend; based on , and ,Through the variance analysis algorithm, the pressure difference position discrimination factors under different types of pressure differences are obtained.

[0010] Specifically, the process of obtaining the pressure difference-check rate function of the simulation also includes: Each time point corresponds to , and , integrated in the time dimension to obtain a complete pressure difference series; Based on the complete pressure difference sequence, a real-time pressure difference change curve is constructed, and the real-time pressure difference change curve is built into the coordinate system corresponding to the pressure difference change curve under normal conditions; Based on the real-time pressure difference change curve and the pressure difference change curve under normal conditions, the pressure difference slope oscillation sequence value at each moment is obtained; Based on the pressure difference slope oscillation sequence value, pressure difference position discrimination factor, backflow distance and the average reaction rate of the corresponding check valve successfully checking when backflow occurs at each moment, the pressure difference-check rate function is obtained through the logistic regression function.

[0011] Specifically, the dual-path multi-level difference control model includes an anti-eddy current adjustment path and a non-return control path; the construction process of the dual-path multi-level difference control model includes: A dual-path multi-level difference control model is constructed based on a fuzzy control algorithm, and the speed-flow rate-pressure dual-axis change curve, the speed-flow rate function and the flow rate-pressure function, and the pressure-speed abnormal oscillation mapping function are built into the anti-eddy current adjustment path, and the pressure difference-check rate function and the real-time pressure difference change curve and the pressure difference change curve under normal conditions are built into the check control path; The simulation algorithm is used to simulate the flow rate, pressure, and speed data of the digital pump when vortex and backflow occur, and the corresponding data are input into the dual-path multi-level difference control model for flow rate and check valve closing rate adjustment training; Based on the training output flow rate and check valve closing rate, the simulation algorithm is input to perform simulation to obtain the probability values ​​of vortex and backflow; The training probability threshold and training cycle are set, and the dual-path multi-level difference control model is trained through the probability value of eddy current and backflow, the training probability threshold and the training cycle to obtain the trained dual-path multi-level difference control model.

[0012] Specifically, the steps of generating the differential speed regulation instruction and the non-return control instruction include: The trained dual-path multi-level difference control model is built into the integrated control device of the digital pump, and the corresponding slope oscillation value is obtained in real time through the speed-flow rate-pressure dual-axis change curve; When at least one of the first real-time slope value or the second real-time slope value is not 0, a corresponding speed adjustment value is obtained through the anti-eddy current adjustment path; Generate a speed adjustment instruction according to the acquired speed adjustment value; Similarly, by combining the real-time pressure difference change curve with the pressure difference change curve under normal conditions, the corresponding pressure difference value and the position and distance where the pressure difference occurs from the water inlet are obtained in real time; According to the pressure difference value and the position and distance where the pressure difference is generated from the water inlet, the check valve closing rate corresponding to the current pressure difference type at the current time point is obtained through the check control path; Based on the check valve closing rate corresponding to the current time point, a check control instruction corresponding to the current type of pressure difference is generated.

[0013] The digital pump intelligent measurement system based on anti-eddy current and non-return function includes: data acquisition module, metering module and control module; A data acquisition module is used to obtain the real-time flow rate, pressure, speed data, check valve closing rate, speed-flow rate-pressure change biaxial curve and pressure difference change curve of the digital pump start-stop time and continuous working time period; The metering module is used to input the real-time flow rate, pressure, and speed data into the built-in speed-flow rate-pressure change dual-axis curve function and the pressure difference change curve function, and combine the speed-flow rate-pressure change dual-axis curve and the pressure difference change curve under normal conditions to obtain the corresponding curve slope oscillation value at each moment; The control module is used to input the corresponding curve slope oscillation value at each moment and the simulated pressure difference-check rate function into the configured dual-path multi-level difference control model to generate differential speed regulation instructions and check control instructions; the differential speed regulation instructions and check control instructions are input into the control system configured by the digital pump to perform real-time digital pump speed regulation and check control.

[0014] Compared with the prior art, the present invention has the following beneficial effects: In view of the deficiencies in the prior art, the present invention obtains multi-dimensional operating data of the digital pump in real time, generates a curve slope oscillation value in combination with the normal state curve, and then inputs the data into a dual-path multi-level differential control model together with the simulated pressure difference-check rate function, thereby realizing differential control of the closing rate of the check valve and rapid adjustment of the data pump speed. The closing rate can be flexibly adjusted according to different scenarios, and backflow can be quickly suppressed. At the same time, the pressure fluctuation differences at different positions of the pipeline can be quantitatively analyzed, so that the anti-vortex and check control strategies are more targeted, and the deficiencies of traditional control methods are effectively addressed. In addition, the present invention does not need to rely on deep models with huge amounts of data, but adopts a combination of multi-dimensional real-time and historical data to construct curves and functions, and uses low-configuration calculation methods such as low-parameter fuzzy control models to meet the measurement requirements of digital pumps under low-configuration conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of a digital pump intelligent measurement method based on anti-vortex and non-return functions according to Embodiment 1 of the present invention; Figure 2 This is a module diagram of a digital pump intelligent measurement system based on anti-vortex and non-return functions according to Example 2 of the present invention. DETAILED DESCRIPTION

[0016] Example 1

[0017] In the urban water supply network, digital pumps are responsible for delivering water to various water-using areas. The water consumption varies greatly at different time periods. For example, the water demand surges during peak hours in the morning and evening, while the water consumption decreases significantly at night. This requires digital pumps to be able to accurately adjust the speed according to real-time flow and pressure changes to meet the water supply needs at different times. At the same time, since the water supply pipelines are widely distributed, there are a large number of straight pipelines and bends. The impact pressure generated when the pump is started and stopped and the impact pressure at the pipeline bends may cause damage to the pipeline system; for this reason, please refer to Figure 1 , an embodiment provided by the present invention: a digital pump intelligent measurement method based on anti-vortex and non-return functions, the steps comprising: S1. Obtain the real-time flow rate, pressure, speed data, check valve closing rate, speed-flow rate-pressure change biaxial curve and pressure difference change curve of the digital pump start-stop time and continuous working time period; Furthermore, the pressure in this embodiment includes the water pressure at the inlet and outlet of the digital pump, the impact pressure at the straight pipeline and the impact pressure at the bend of the pipeline; Furthermore, the water inlet pressure in this embodiment refers to the pressure of water at the water inlet of the digital pump. This pressure is mainly affected by the water level of the water source, pipeline resistance and other upstream equipment; For example, if the water level of the water source is high, the water pressure at the water inlet will be relatively high; if the water inlet pipe is blocked or has a small diameter, the water flow resistance will increase, resulting in a decrease in the water pressure at the water inlet. The water pressure at the water inlet is an important parameter to ensure that the pump can normally absorb liquid. If the water pressure at the water inlet is too low, it may cause cavitation and other problems in the pump, affecting the performance and life of the pump.

[0018] The outlet water pressure refers to the water pressure at the outlet when the pump delivers water. It mainly depends on factors such as the pump performance, speed, flow rate and the characteristics of the outlet pipe. The higher the pump speed and the smaller the flow rate, the higher the outlet water pressure will be. If the outlet pipe has a small diameter and a large resistance, the outlet water pressure will also increase. The outlet water pressure determines the height and distance that water can be delivered, and is one of the key indicators to measure the working effect of the pump.

[0019] Straight pipe impact pressure refers to the sharp change in the flow rate of the liquid in the straight pipe when the digital pump is started or stopped, or when the flow rate changes suddenly during operation. Due to the inertia of the liquid, an instantaneous pressure fluctuation will be generated in the pipe, that is, impact pressure. For example, when the pump is suddenly started, the liquid accelerates rapidly from a static state, which will produce a large impact force on the pipe wall; when the pump is suddenly stopped, the liquid will continue to flow forward due to inertia, which will also produce reverse impact pressure.

[0020] The impact pressure at the pipe bend refers to the change in the flow direction of the liquid when it flows through the pipe bend, and the momentum of the liquid will also change accordingly, thus generating an additional pressure on the pipe wall at the bend, namely the impact pressure. This is because the liquid needs to overcome the inertia force when turning, and convert part of the kinetic energy into pressure energy on the pipe wall.

[0021] Furthermore, in this embodiment, the steps of obtaining the rotation speed-flow rate-pressure change biaxial curve and the pressure difference change curve under normal conditions include: Obtain the flow rate, pressure, and speed data of the historical digital pump start and stop times and continuous working time periods, and intercept the flow rate, pressure, and speed data fragments of the corresponding time period without eddy current and backflow, and splice them in the time dimension to construct normal operation data; Based on the flow rate, rotation speed and pressure in the normal operation data, a rotation speed-flow rate-pressure biaxial change curve under normal conditions is constructed; Based on the water inlet and outlet pressures of the digital pump, the impact pressure of the straight pipeline, and the impact pressure at the pipeline bend in the normal operation data, the pressure difference under normal conditions is obtained; According to the pressure difference under the normal state, a pressure difference variation curve under the normal state is constructed with time as the horizontal axis and the pressure difference corresponding to time.

[0022] S2. Input the real-time flow rate, pressure, and speed data into the built-in speed-flow rate-pressure change dual-axis curve function and pressure difference change curve function, and combine the speed-flow rate-pressure change dual-axis curve and pressure difference change curve under normal conditions to obtain the corresponding curve slope oscillation value at each moment; Further, the speed-flow rate-pressure dual-axis variation curve in this embodiment includes a speed-flow rate curve and a flow rate-pressure curve; the speed-flow rate-pressure dual-axis variation curve has the speed as the horizontal axis, the flow rate as the left vertical axis in the dual-axis coordinate system, and the pressure as the right vertical axis in the dual-axis coordinate system; The rotation speed-flow rate curve and the flow rate-pressure curve are aligned with the flow rate as the alignment dimension variable, and the flow rate dependent variable corresponding to each point in the rotation speed-flow rate curve is used as the independent variable of the flow rate-pressure curve.

[0023] Furthermore, in this embodiment, the step of obtaining the slope oscillation value of the curve corresponding to each moment includes: Based on the flow rate, pressure and speed data of the historical start and stop time of the digital pump and the continuous working time period, the speed-flow rate function and flow rate-pressure function are respectively fitted by the nonlinear radial kernel function in the convolutional neural network. Based on the speed-flow rate function and the flow rate-pressure function, a corresponding real-time speed-flow rate curve and a real-time flow rate-pressure curve are obtained; The speed-flow rate curve and the flow rate-pressure curve are configured in the coordinate system corresponding to the speed-flow rate-pressure dual-axis variation curve in the normal state, and the real-time speed-flow rate curve and the real-time flow rate-pressure curve are aligned with the speed-flow rate curve and the flow rate-pressure curve in the normal state by horizontal coordinates; The real-time curve and the corresponding normal state curve here are aligned with the corresponding horizontal axis coordinates.

[0024] Based on the real-time speed-flow rate curve and the speed-flow rate curve under normal conditions, obtaining a first real-time slope value corresponding to each coordinate point in the real-time speed-flow rate curve and a first normal slope value of the corresponding coordinate point of the speed-flow rate curve under normal conditions; Obtaining a first slope oscillation value based on a difference between the first real-time slope value and the first normal slope value; Similarly, based on the real-time flow rate-pressure curve and the flow rate-pressure curve under normal conditions, the difference between the corresponding second real-time slope value and the second normal slope value is obtained to obtain the second slope oscillation value; The first slope oscillation value is used as the dependent variable and the second slope oscillation value is used as the independent variable to obtain the pressure-speed abnormal oscillation mapping function, and the real-time speed-flow rate curve and the real-time flow rate-pressure curve are aligned with the speed-flow rate curve and the flow rate-pressure curve under normal conditions.

[0025] This process obtains the multi-dimensional data of the digital pump operation in an all-round way, constructs the speed-flow-pressure dual-axis change curve and the pressure difference change curve under normal conditions, and provides an accurate reference for judging the operating status. By comparing the real-time data with the built-in function and the normal curve, the corresponding curve slope oscillation value at each moment is obtained, which can keenly capture the slight deviation in operation and accurately monitor abnormal conditions. Aligning the speed-flow rate curve with the flow rate-pressure curve based on the flow rate and constructing a mapping function can deeply analyze the complex relationship between the various parameters, reveal the operating status of the pump from multiple dimensions, and provide strong support for timely detection of abnormalities such as eddy currents and backflows, as well as fault diagnosis and optimized control.

[0026] S3, inputting the corresponding curve slope oscillation value at each moment and the simulated pressure difference-check rate function into the configured dual-path multi-level difference control model to generate a difference speed regulation instruction and a check control instruction; Furthermore, the process of obtaining the pressure difference-check rate function simulated in the present embodiment includes: Through simulation, we can obtain the pressure difference between the water inlet pressure and the water outlet pressure, the impact pressure of the straight pipe and the impact pressure at the pipe bend when the digital pump has backflow, the backflow distance between the pressure difference point at the water inlet and the check valve, and the average reaction rate of the check valve successfully checking when backflow occurs; Further, in this embodiment, the position point where the pressure difference is generated with the water inlet, that is, the position point where the pressure difference is generated in real time with the water inlet, the water outlet, the straight pipe and the pipe bend, that is, the position point where the pressure difference is detected in real time between the water outlet, the straight pipe and the pipe bend and the water inlet during backflow; Obtain the pressure difference sequence based on the inlet pressure, outlet pressure, straight pipe impact pressure and pipe bend impact pressure , and ,in Represents the import and export pressure difference subsequence, represents the pressure difference subsequence between the water inlet and the impact pressure of the straight pipe, The pressure difference subsequence between the water inlet and the impact pressure at the pipe bend; based on , and ,Through the variance analysis algorithm, the pressure difference position discrimination factors under different types of pressure differences are obtained; Each time point corresponds to , and , integrated in the time dimension to obtain a complete pressure difference series; Based on the complete pressure difference sequence, a real-time pressure difference change curve is constructed, and the real-time pressure difference change curve is built into the coordinate system corresponding to the pressure difference change curve under normal conditions; Based on the real-time pressure difference change curve and the pressure difference change curve under normal conditions, the pressure difference slope oscillation sequence value at each moment is obtained; Based on the pressure difference slope oscillation sequence value, pressure difference position discrimination factor, backflow distance and the average reaction rate of the corresponding check valve successfully checking when backflow occurs at each moment, the pressure difference-check rate function is obtained through the logistic regression function.

[0027] Furthermore, the dual-path multi-level difference control model in this embodiment includes an anti-eddy current adjustment path and a non-return control path; the construction process of the dual-path multi-level difference control model includes: A dual-path multi-level difference control model is constructed based on a fuzzy control algorithm, and the speed-flow rate-pressure dual-axis change curve, the speed-flow rate function and the flow rate-pressure function, and the pressure-speed abnormal oscillation mapping function are built into the anti-eddy current adjustment path, and the pressure difference-check rate function and the real-time pressure difference change curve and the pressure difference change curve under normal conditions are built into the check control path; The simulation algorithm is used to simulate the flow rate, pressure, and speed data of the digital pump when vortex and backflow occur, and the corresponding data are input into the dual-path multi-level difference control model for flow rate and check valve closing rate adjustment training; Based on the training output flow rate and check valve closing rate, the simulation algorithm is input to perform simulation to obtain the probability values ​​of vortex and backflow; The training probability threshold and training cycle are set, and the dual-path multi-level difference control model is trained through the probability value of eddy current and backflow, the training probability threshold and the training cycle to obtain the trained dual-path multi-level difference control model.

[0028] Furthermore, the steps of generating the differential speed regulation instruction and the non-return control instruction in this embodiment include: The trained dual-path multi-level difference control model is built into the integrated control device of the digital pump, and the corresponding slope oscillation value is obtained in real time through the speed-flow rate-pressure dual-axis change curve; When at least one of the first real-time slope value or the second real-time slope value is not 0, a corresponding speed adjustment value is obtained through the anti-eddy current adjustment path; Furthermore, the specific process of obtaining the corresponding speed adjustment value through the anti-eddy current adjustment path is as follows: The first real-time slope value or the second real-time slope value is obtained through the built-in curve of the anti-eddy current adjustment path, and according to the first real-time slope value or the second real-time slope value, the speed adjustment value of the digital pump that needs to be adjusted when the pressure is abnormally oscillating or the flow rate is abnormally oscillating is obtained by constructing the speed-flow rate function and the flow rate-pressure function and the pressure-speed abnormal oscillation mapping function; Generate a speed adjustment instruction according to the acquired speed adjustment value; Similarly, by combining the real-time pressure difference change curve with the pressure difference change curve under normal conditions, the corresponding pressure difference value and the position and distance where the pressure difference occurs from the water inlet are obtained in real time; According to the pressure difference value and the position and distance where the pressure difference is generated from the water inlet, the check valve closing rate corresponding to the current pressure difference type at the current time point is obtained through the check control path; Furthermore, in this process, the present embodiment analyzes the pressure difference curve and data acquired in real time through the pressure difference position discrimination factor under different types of pressure difference in the pressure difference-check rate function, and obtains the corresponding type and position of the pressure difference. Through the obtained type and position, the corresponding reflux distance is obtained, and based on the reflux distance and the reflux flow rate, the corresponding reflux time is obtained. Based on the reflux time, the rate required for the check valve to successfully close and check can be accurately calculated to achieve successful check.

[0029] Based on the check valve closing rate corresponding to the current time point, a check control instruction corresponding to the current type of pressure difference is generated.

[0030] Furthermore, in actual applications, the process obtains key data when the digital pump has backflow through simulation, and then generates a pressure difference-check rate function, which provides a core basis for accurate control of the check valve. In the actual water supply process, when the water consumption decreases late at night, the working state of the pump changes, and there may be a risk of backflow, this function can provide a key reference for subsequent check valve control based on different pressure conditions and backflow distances.

[0031] A dual-path multi-level difference control model is constructed with built-in related curves and functions, combined with fuzzy control algorithms, to integrate the complex nonlinear relationship between various parameters in pump operation. When the water demand surges during the morning and evening peaks, the anti-vortex adjustment path in the model can judge whether there is abnormal flow rate or pressure oscillation in real time based on the slope oscillation value through the built-in speed-flow rate-pressure dual-axis change curve, speed-flow rate function and flow rate-pressure function, and pressure-speed abnormal oscillation mapping function, and then accurately calculate the speed adjustment value and generate speed control instructions, so that the pump speed can quickly respond to changes in water supply demand, avoid vortices caused by unreasonable speed, and ensure stable and efficient water supply. For example, when a sudden water peak causes a sudden change in flow and pressure in a certain area, the anti-vortex adjustment path can act quickly to adjust the pump speed to ensure water supply in the area.

[0032] The check control path uses the pressure difference-check rate function and the pressure difference change curve to play a key role when the pipeline pressure fluctuates due to pump start-stop or flow changes. In the straight pipes and bends of the water supply pipeline, the impact pressure generated when the pump starts and stops and the impact pressure at the bends of the pipeline may cause backflow. At this time, the check control path obtains the pressure difference value, pressure difference position and distance in real time, combines the pressure difference position discriminant factor to analyze the real-time pressure difference, accurately calculates the check valve closing rate and generates control instructions. For example, in a section of water supply pipeline where the pump is frequently started and stopped, the check control path can adjust the check valve closing rate in time according to the real-time monitored pressure changes, effectively prevent backflow, reduce the damage to the pipeline system caused by the impact pressure, and ensure the safety and service life of the pipeline system.

[0033] In addition, in the process of obtaining the pressure difference-check rate function in this embodiment, the pressure changes of the digital pump under different working conditions are accurately measured through simulation technology, including key parameters such as the pressure difference between the water inlet and the water outlet, the impact pressure of the straight pipe and the impact pressure at the bend. These data not only help identify the location of different types of pressure differences and their influence range, but also provide a basis for the subsequent construction of a real-time pressure difference change curve. The pressure difference position discrimination factor obtained by the variance analysis algorithm can effectively distinguish various types of pressure differences, and combined with the pressure difference-check rate function generated by the logistic regression function, it ensures that the system can accurately calculate the optimal rate required for the check valve to close under any circumstances.

[0034] Next, the application of the dual-path multi-level difference control model further improved the responsiveness and stability of the system. The model consists of an anti-vortex adjustment path and a check control path, and is built based on a fuzzy control algorithm. In actual operation, the anti-vortex adjustment path dynamically adjusts the speed of the pump by real-time monitoring of the speed-flow rate-pressure change curve, avoiding vortex phenomena caused by abnormal flow or pressure fluctuations. The check control path calculates the optimal check rate required at the current time point based on the real-time obtained pressure difference value and pressure difference type, thereby effectively preventing the occurrence of backflow. For example, during the peak water use hours in the morning and evening, when the water demand surges, the system can quickly increase the pump speed to meet the water supply demand, and at the same time, by accurately controlling the closing speed of the check valve, avoid the risk of pipe network rupture caused by sudden pressure changes. In the late night trough period, the system automatically slows down the running speed of the pump, reducing unnecessary energy consumption and extending the service life of the equipment.

[0035] S4. Input the differential speed regulation instruction and the non-return control instruction into the control system configured by the digital pump to perform real-time digital pump speed regulation and non-return control.

[0036] Example 2

[0037] See also Figure 2 , another embodiment provided by the present invention: a digital pump intelligent measurement system based on anti-vortex and non-return functions, comprising: a data acquisition module, a metering module, and a control module; The data acquisition module is used to obtain the real-time flow rate, pressure, speed data, check valve closing rate, speed-flow rate-pressure change biaxial curve and pressure difference change curve of the digital pump start-stop time and continuous working time period; The metering module is used to input the real-time flow rate, pressure, and speed data into the built-in speed-flow rate-pressure change dual-axis curve function and the pressure difference change curve function, and combine the speed-flow rate-pressure change dual-axis curve and the pressure difference change curve under normal conditions to obtain the corresponding curve slope oscillation value at each moment; The control module is used to input the corresponding curve slope oscillation value at each moment and the simulated pressure difference-check rate function into the configured dual-path multi-level difference control model, generate differential speed regulation instructions and check control instructions, and input the differential speed regulation instructions and check control instructions into the control system of the digital pump configuration to perform real-time digital pump speed regulation and check control.

[0038] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in the field may also change, modify, replace and modify the above-mentioned embodiments without departing from the scope of protection of the purpose of the present invention and the claims, and all of these are within the protection of the present invention.

Claims

1. The digital pump intelligent measurement method based on anti-eddy current and non-return function is characterized by: include: Obtain the real-time flow rate, pressure, speed data, check valve closing rate, speed-flow rate-pressure change biaxial curve and pressure difference change curve of the digital pump start-stop time and continuous working time period; Input the real-time flow rate, pressure and speed data into the built-in speed-flow rate-pressure change dual-axis curve function and pressure difference change curve function, and combine the speed-flow rate-pressure change dual-axis curve and pressure difference change curve under normal conditions to obtain the corresponding curve slope oscillation value at each moment; Input the corresponding curve slope oscillation value at each moment and the simulated pressure difference-check rate function into the configured dual-path multi-level difference control model to generate differential speed regulation instructions and check control instructions; The differential speed regulation command and the check control command are input into the control system of the digital pump configuration to perform real-time digital pump speed regulation and check control.

2. The digital pump intelligent measurement method based on anti-eddy current and non-return function according to claim 1 is characterized in that: The pressure includes the water pressure at the inlet and outlet of the digital pump, the impact pressure of the straight pipeline and the impact pressure at the pipeline bend; the steps of obtaining the speed-flow rate-pressure change biaxial curve and the pressure difference change curve under the normal state include: Obtain the flow rate, pressure, and speed data of the historical digital pump start and stop times and continuous working time periods, and intercept the flow rate, pressure, and speed data fragments of the corresponding time period without eddy current and backflow, and splice them in the time dimension to construct normal operation data; Based on the flow rate, rotation speed and pressure in the normal operation data, a rotation speed-flow rate-pressure biaxial change curve under normal conditions is constructed; Based on the water pressure at the inlet and outlet of the digital pump, the impact pressure at the straight pipe and the impact pressure at the pipe bend in the normal operation data, the pressure difference under normal conditions is obtained; According to the pressure difference under the normal state, a pressure difference variation curve under the normal state is constructed with time as the horizontal axis and the pressure difference corresponding to time.

3. The digital pump intelligent measurement method based on anti-eddy current and non-return function as claimed in claim 2 is characterized in that: The speed-flow rate-pressure dual-axis variation curve comprises a speed-flow rate curve and a flow rate-pressure curve; the speed-flow rate-pressure dual-axis variation curve has the speed as the horizontal axis, the flow rate as the left vertical axis, and the pressure as the right vertical axis in the dual-axis coordinate system for the dual-axis coordinate system; The rotation speed-flow rate curve and the flow rate-pressure curve are aligned with the flow rate as the alignment dimension variable, and the flow rate dependent variable corresponding to each point in the rotation speed-flow rate curve is used as the independent variable of the flow rate-pressure curve.

4. The digital pump intelligent measurement method based on anti-eddy current and non-return function as claimed in claim 3 is characterized in that: The step of obtaining the slope oscillation value of the curve corresponding to each moment includes: Based on the flow rate, pressure and speed data of the historical start and stop time of the digital pump and the continuous working time period, the speed-flow rate function and flow rate-pressure function are respectively fitted by the nonlinear radial kernel function in the convolutional neural network. Based on the speed-flow rate function and the flow rate-pressure function, a corresponding real-time speed-flow rate curve and a real-time flow rate-pressure curve are obtained; The speed-flow rate curve and flow rate-pressure curve are configured in the coordinate system corresponding to the speed-flow rate-pressure dual-axis change curve under normal conditions, and the real-time speed-flow rate curve and real-time flow rate-pressure curve are aligned with the speed-flow rate curve and flow rate-pressure curve under normal conditions on the horizontal coordinate.

5. The digital pump intelligent measurement method based on anti-eddy current and non-return function as claimed in claim 4 is characterized in that: The step of obtaining the slope oscillation value of the curve corresponding to each moment also includes: Based on the real-time speed-flow rate curve and the speed-flow rate curve under normal conditions, obtaining a first real-time slope value corresponding to each coordinate point in the real-time speed-flow rate curve and a first normal slope value of the corresponding coordinate point of the speed-flow rate curve under normal conditions; Obtaining a first slope oscillation value based on a difference between the first real-time slope value and the first normal slope value; Similarly, based on the real-time flow rate-pressure curve and the flow rate-pressure curve under normal conditions, the difference between the corresponding second real-time slope value and the second normal slope value is obtained to obtain the second slope oscillation value; The first slope oscillation value is used as the dependent variable and the second slope oscillation value is used as the independent variable to obtain the pressure-speed abnormal oscillation mapping function, and the real-time speed-flow rate curve and the real-time flow rate-pressure curve are aligned with the speed-flow rate curve and the flow rate-pressure curve under normal conditions.

6. The digital pump intelligent measurement method based on anti-eddy current and non-return function as claimed in claim 5, characterized in that: The process of obtaining the pressure difference-check rate function of the simulation includes: Through simulation, we can obtain the pressure difference between the water inlet pressure and the water outlet pressure, the impact pressure of the straight pipe and the impact pressure at the pipe bend when the digital pump has backflow, the backflow distance between the pressure difference point at the water inlet and the check valve, and the average reaction rate of the check valve successfully checking when backflow occurs; Obtain the pressure difference sequence based on the inlet pressure, outlet pressure, straight pipe impact pressure and pipe bend impact pressure , and ,in Represents the import and export pressure difference subsequence, represents the pressure difference subsequence between the water inlet and the impact pressure of the straight pipe, The pressure difference subsequence between the water inlet and the impact pressure at the pipe bend; based on , and ,Through the variance analysis algorithm, the pressure difference position discrimination factors under different types of pressure differences are obtained.

7. The digital pump intelligent measurement method based on anti-eddy current and non-return function according to claim 6 is characterized in that: The process of obtaining the pressure difference-check rate function of the simulation also includes: Each time point corresponds to , and , integrated in the time dimension to obtain a complete pressure difference series; Based on the complete pressure difference sequence, a real-time pressure difference change curve is constructed, and the real-time pressure difference change curve is built into the coordinate system corresponding to the pressure difference change curve under normal conditions; Based on the real-time pressure difference change curve and the pressure difference change curve under normal conditions, the pressure difference slope oscillation sequence value at each moment is obtained; Based on the pressure difference slope oscillation sequence value, pressure difference position discrimination factor, backflow distance and the average reaction rate of the corresponding check valve successfully checking when backflow occurs at each moment, the pressure difference-check rate function is obtained through the logistic regression function.

8. The digital pump intelligent measurement method based on anti-eddy current and non-return function according to claim 7 is characterized in that: The dual-path multi-level difference control model includes an anti-eddy current adjustment path and a non-return control path; The construction process of the dual-path multi-level difference control model includes: A dual-path multi-level difference control model is constructed based on a fuzzy control algorithm, and the speed-flow rate-pressure dual-axis change curve, the speed-flow rate function and the flow rate-pressure function, and the pressure-speed abnormal oscillation mapping function are built into the anti-eddy current adjustment path, and the pressure difference-check rate function and the real-time pressure difference change curve and the pressure difference change curve under normal conditions are built into the check control path; The simulation algorithm is used to simulate the flow rate, pressure, and speed data of the digital pump when vortex and backflow occur, and the corresponding data are input into the dual-path multi-level difference control model for flow rate and check valve closing rate adjustment training; The flow rate and check valve closing rate outputted from the training are input into the simulation algorithm for simulation to obtain the probability values ​​of vortex and backflow; The training probability threshold and training cycle are set, and the dual-path multi-level difference control model is trained through the probability value of eddy current and backflow, the training probability threshold and the training cycle to obtain the trained dual-path multi-level difference control model.

9. The digital pump intelligent measurement method based on anti-eddy current and non-return function according to claim 8, characterized in that: The step of generating the differential speed regulation instruction and the non-return control instruction comprises: The trained dual-path multi-level difference control model is built into the integrated control device of the digital pump, and the corresponding slope oscillation value is obtained in real time through the speed-flow rate-pressure dual-axis change curve; When at least one of the first real-time slope value or the second real-time slope value is not 0, a corresponding speed adjustment value is obtained through the anti-eddy current adjustment path; Generate a speed adjustment instruction according to the acquired speed adjustment value; By combining the real-time pressure difference change curve with the pressure difference change curve under normal conditions, the corresponding pressure difference value and the position and distance where the pressure difference occurs from the water inlet are obtained in real time; According to the pressure difference value and the position and distance where the pressure difference is generated from the water inlet, the check valve closing rate corresponding to the current pressure difference type at the current time point is obtained through the check control path; Based on the check valve closing rate corresponding to the current time point, a check control instruction corresponding to the current type of pressure difference is generated.

10. A digital pump intelligent measurement system based on anti-vortex and non-return functions, which is used to implement the digital pump intelligent measurement method based on anti-vortex and non-return functions according to any one of claims 1 to 9, characterized in that: include: Data acquisition module, metering module and control module; The data acquisition module is used to obtain the real-time flow rate, pressure, speed data, check valve closing rate, speed-flow rate-pressure change biaxial curve and pressure difference change curve of the digital pump start-stop time and continuous working time period; The metering module is used to input the real-time flow rate, pressure, and speed data into the built-in speed-flow rate-pressure change dual-axis curve function and the pressure difference change curve function, and combine the speed-flow rate-pressure change dual-axis curve and the pressure difference change curve under normal conditions to obtain the corresponding curve slope oscillation value at each moment; The control module is used to input the corresponding curve slope oscillation value at each moment and the simulated pressure difference-check rate function into the configured dual-path multi-level difference control model, generate differential speed regulation instructions and check control instructions, and input the differential speed regulation instructions and check control instructions into the control system of the digital pump configuration to perform real-time digital pump speed regulation and check control.

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