Digital Pump Intelligent Measurement Method and System Based on Anti-Vortex and Check Valve Functions

Abstract

The present invention belongs to the technical field of digital pump measurement, and particularly relates to an intelligent measurement method and system for a digital pump based on anti-vortex and check valve functions. The method includes: obtaining real-time flow rate, pressure, and rotational speed data at the start and stop times of the digital pump and during continuous working periods, as well as the closing rate of the check valve, and simultaneously obtaining the double-axis curve of rotational speed-flow rate-pressure change and the differential pressure change curve under normal conditions; then, inputting the real-time data into the built-in curve function and combining it with the normal state curve to obtain the oscillation value of the curve slope at each moment; secondly, inputting the curve slope oscillation value and the check valve closing rate into a dual-path multi-stage difference control model to generate differential speed regulation instructions and check valve control instructions; finally, inputting these instructions into the control system configured for the digital pump to adjust the rotational speed of the digital pump in real time and perform check valve control, effectively improving the stability and reliability of the digital pump operation.

Description

Technical Field

[0001] The present invention belongs to the technical field of digital pump measurement, and particularly relates to an intelligent measurement method and system for digital pumps based on anti-vortex and check valve functions. Background Art

[0002] In industrial production and various fluid transportation systems, digital pumps are key equipment, and their performance is crucial for the operating efficiency and stability of the entire system. Traditional digital pumps face many challenges when dealing with the complex operating environment of pipe network systems. On the one hand, vortex phenomena often occur in pipe network systems. The generation of vortices not only causes energy loss, reduces the efficiency of the pump, but may also cause problems such as pipeline vibration and increased noise, and 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 valve measures. Once fluid backflows, it may damage the pump body, or cause unstable system pressure, affecting the normal progress of the entire process flow; 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 backflows in different scenarios. In addition, the pressure fluctuation differences at different positions such as pipe bends and straight sections are not quantitatively analyzed, resulting in a lack of pertinence in anti-vortex and check valve control strategies. Summary of the Invention

[0003] In view of the deficiencies of the prior art, the present invention proposes an intelligent measurement method and system for digital pumps based on anti-vortex and check valve functions. Among them, the intelligent measurement method for digital pumps based on anti-vortex and check valve functions includes: obtaining real-time flow rate, pressure, and rotational speed data at the start and stop times and during continuous operation of the digital pump, as well as the closing rate of the check valve, and simultaneously obtaining the dual-axis curve of rotational speed-flow rate-pressure change and the pressure difference change curve under normal conditions. Then, input the real-time data into the built-in curve function, and combine it with the normal state curve to obtain the oscillation value of the curve slope at each moment; secondly, input the curve slope oscillation value and the closing rate of the check valve into the dual-path multi-level differential control model to generate differential speed regulation instructions and check valve control instructions; finally, input these instructions into the control system configured for the digital pump to adjust the rotational speed of the digital pump in real time and perform check valve control, effectively improving the stability and reliability of the digital pump operation.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An intelligent measurement method for digital pumps based on anti-vortex and check valve functions, comprising:

[0006] Obtaining real-time flow rate, pressure, rotational speed data, the closing rate of the check valve, and the dual-axis curve of rotational speed-flow rate-pressure change and the pressure difference change curve under normal conditions at the start and stop times and during continuous operation of the digital pump;

[0007] Input the real-time flow rate, pressure, and rotational speed data into the built-in dual-axis curve function of rotational speed-flow rate-pressure change and the differential pressure change curve function, and combine with the dual-axis curve of rotational speed-flow rate-pressure change and the differential pressure change curve under normal conditions to obtain the oscillation value of the corresponding curve slope at each moment;

[0008] Input the oscillation value of the corresponding curve slope at each moment and the differential pressure-check valve rate function obtained by simulation into the configured dual-path multi-stage differential control model to generate differential speed regulation instructions and check valve control instructions;

[0009] Input the differential speed regulation instructions and check valve control instructions into the control system configured for the digital pump to perform real-time digital pump rotational speed regulation and check valve control.

[0010] Specifically, the pressure includes the inlet pressure and outlet pressure of the digital pump, the impact pressure of the straight pipeline, and the impact pressure at the pipeline bend; the steps for obtaining the dual-axis curve of rotational speed-flow rate-pressure change and the differential pressure change curve under normal conditions include:

[0011] Obtain the flow rate, pressure, and rotational speed data at the start and stop moments of the historical digital pump and during the continuous working period, intercept the data segments of the flow rate, pressure, and rotational speed corresponding to the time periods without eddy currents and backflows and splice them in the time dimension to construct the normal operation data;

[0012] Based on the flow rate, rotational speed, and pressure in the normal operation data, construct the dual-axis change curve of rotational speed-flow rate-pressure under normal conditions;

[0013] Based on the inlet pressure and outlet pressure of the digital pump, the impact pressure of the straight pipeline, and the impact pressure at the pipeline bend in the normal operation data, obtain the differential pressure under normal conditions;

[0014] According to the differential pressure under normal conditions with time as the horizontal axis and the differential pressure corresponding to the time, construct the differential pressure change curve under normal conditions.

[0015] Specifically, the dual-axis change curve of rotational speed-flow rate-pressure includes the rotational speed-flow rate curve and the flow rate-pressure curve; for the dual-axis coordinate system of the dual-axis change curve of rotational speed-flow rate-pressure, the rotational speed is used as the horizontal axis, the flow rate is used as the left vertical axis in the dual-axis coordinate system, and the pressure is used as the right vertical axis in the dual-axis coordinate system;

[0016] Align the rotational speed-flow rate curve and the flow rate-pressure curve with the flow rate as the alignment dimension variable, and use the flow rate dependent variable corresponding to each point in the rotational speed-flow rate curve as the independent variable of the flow rate-pressure curve.

[0017] Specifically, the steps for obtaining the oscillation value of the corresponding curve slope at each moment include:

[0018] 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.

[0019] 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;

[0020] The real-time speed-flow rate curve and the real-time 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 the real-time flow rate-pressure curve are aligned with the speed-flow rate curve and the flow rate-pressure curve under normal conditions on the horizontal coordinates.

[0021] Specifically, the step of obtaining the slope oscillation value of the curve corresponding to each moment also includes:

[0022] 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;

[0023] Obtaining a first slope oscillation value based on a difference between the first real-time slope value and the first normal slope value;

[0024] 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;

[0025] 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.

[0026] Specifically, the process of obtaining the pressure difference-check rate function of the simulation includes:

[0027] 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;

[0028] Obtain the pressure difference sequence based on the inlet pressure, outlet pressure, straight pipe impact pressure and pipe bend impact pressure , and ,in Denote the differential pressure subsequence of the inlet and outlet, Denote the differential pressure subsequence between the inlet and the impact pressure of the straight pipeline, Denote the differential pressure subsequence between the inlet and the impact pressure at the pipeline bend;

[0029] Based on , and , through the analysis of variance algorithm, obtain the differential pressure position discrimination factors under different types of differential pressures.

[0030] Specifically, the process of obtaining the differential pressure - check valve rate function by simulation also includes:

[0031] Integrate the , and corresponding to each time point in the time dimension to obtain a complete differential pressure sequence;

[0032] Based on the complete differential pressure sequence, construct a real - time differential pressure change curve and embed the real - time differential pressure change curve into the coordinate system corresponding to the differential pressure change curve under normal conditions;

[0033] Based on the real - time differential pressure change curve and the differential pressure change curve under normal conditions, obtain the differential pressure slope oscillation sequence value at each moment;

[0034] Based on the differential pressure slope oscillation sequence value at each moment, the differential pressure position discrimination factor, the reflux distance, and the average reaction rate of the check valve successfully closing when reflux occurs, through the logistic regression function, obtain the differential pressure - check valve rate function.

[0035] Specifically, the dual - path multi - level differential control model includes an anti - vortex adjustment path and a check valve control path; the construction process of the dual - path multi - level differential control model includes:

[0036] Construct a dual - path multi - level differential control model based on the fuzzy control algorithm, and embed the rotational speed - flow velocity - pressure biaxial change curve, the rotational speed - flow velocity function, the flow velocity - pressure function, and the pressure - rotational speed abnormal oscillation mapping function into the anti - vortex adjustment path. At the same time, embed the differential pressure - check valve rate function and the real - time differential pressure change curve and the differential pressure change curve under normal conditions into the check valve control path;

[0037] Through the simulation algorithm, simulate the flow velocity, pressure, and rotational speed data of the digital pump when vortex and reflux occur, and input the corresponding data into the dual - path multi - level differential control model for flow velocity and check valve closing rate adjustment training;

[0038] Based on the training output of the flow velocity and the check valve closing rate, input them into the simulation algorithm for simulation to obtain the probability values of vortex and reflux occurrence;

[0039] Set a training probability threshold and a training period, and train the dual-path multi-level difference control model based on the probabilities of the occurrence of eddy currents and backflows, the training probability threshold, and the training period to obtain a trained dual-path multi-level difference control model.

[0040] Specifically, the steps for generating the differential speed control command and the check valve control command include:

[0041] Integrate the trained dual-path multi-level difference control model into the integrated control device of the digital pump, and obtain the corresponding slope oscillation value in real time through the rotational speed-flow rate-pressure biaxial change curve.

[0042] When at least one of the first real-time slope value and the second real-time slope value is not 0, obtain the corresponding rotational speed adjustment value through the anti-eddy current adjustment path.

[0043] Generate a rotational speed adjustment command based on the obtained rotational speed adjustment value.

[0044] Similarly, combine the real-time pressure difference change curve with the pressure difference change curve in the normal state to obtain the corresponding pressure difference value in real time, as well as the position and distance where the pressure difference is generated from the water inlet.

[0045] Based on the pressure difference value and the position and distance where the pressure difference is generated from the water inlet, obtain the check valve closing rate corresponding to the current pressure difference type at the current time point through the check valve control path.

[0046] Generate a check valve control command corresponding to the current type of pressure difference based on the check valve closing rate corresponding to the current time point.

[0047] The intelligent measurement system of the digital pump based on the anti-eddy current and check valve functions includes: a data acquisition module, a measurement module, and a control module;

[0048] The data acquisition module is used to acquire the real-time flow rate, pressure, rotational speed data, check valve closing rate at the start and stop moments of the digital pump and during the continuous working period, as well as the rotational speed-flow rate-pressure change biaxial curve and the pressure difference change curve in the normal state.

[0049] The measurement module is used to input the real-time flow rate, pressure, and rotational speed data into the built-in rotational speed-flow rate-pressure change biaxial curve function and the pressure difference change curve function, and combine the rotational speed-flow rate-pressure change biaxial curve and the pressure difference change curve in the normal state to obtain the slope oscillation value corresponding to each moment.

[0050] A control module, configured to input the curve slope oscillation value corresponding to each moment and the simulated pressure difference - check valve rate function into a configured dual - path multi - level differential control model to generate differential speed regulation instructions and check valve control instructions; and input the differential speed regulation instructions and check valve control instructions into the control system configured for the digital pump to perform real - time digital pump speed regulation and check valve control.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0052] Aiming at the deficiencies of the prior art, the present invention realizes the differential control of the closing rate of the check valve and the rapid adjustment of the digital pump speed by obtaining multi - dimensional operation data of the digital pump in real time, generating a curve slope oscillation value in combination with the normal state curve, and then inputting it into the dual - path multi - level differential control model together with the simulated pressure difference - check valve rate function. It can flexibly adjust the closing rate according to different scenarios, quickly suppress backflow, and at the same time quantitatively analyze the pressure fluctuation differences at different positions of the pipeline, making the anti - vortex and check valve control strategies more targeted, effectively solving the deficiencies of traditional control methods. In addition, the present invention does not rely on a deep model with a large amount of data, adopts a combination of multi - dimensional real - time and historical data, constructs curves and functions, and uses low - configuration calculation methods such as a low - parameter fuzzy control model to meet the measurement requirements of digital pumps under low - configuration conditions. Description of the Drawings

[0053] Figure 1 It is a flowchart of the intelligent measurement method for a digital pump based on anti - vortex and check valve functions in Embodiment 1 of the present invention;

[0054] Figure 2 It is a module diagram of the intelligent measurement system for a digital pump based on anti - vortex and check valve functions in Embodiment 2 of the present invention. Detailed Embodiments

[0055] Embodiment 1

[0056] In an urban water supply network, digital pumps are responsible for transporting water sources to various water - using areas. The water consumption varies greatly at different times. For example, the water demand surges during morning and evening rush hours, while the water consumption is significantly reduced late at night. This requires digital pumps to accurately adjust their speeds according to real - time flow and pressure changes to meet the water supply demands at different times. At the same time, due to the extensive distribution of water supply pipelines, there are a large number of straight pipelines and bends. The impact pressure generated when the pump starts and stops and the impact pressure at the pipeline bends may damage the pipeline system. For this reason, please refer to Figure 1 , an embodiment provided by the present invention: an intelligent measurement method for a digital pump based on anti - vortex and check valve functions, the steps of which include:

[0057] S1. Obtain the real-time flow rate, pressure, rotational speed data, check valve closing rate, and the biaxial curve of rotational speed-flow rate-pressure change and differential pressure change curve during the start and stop moments of the digital pump and its continuous working time period;

[0058] Further, the pressure in this embodiment includes the inlet pressure and outlet pressure of the digital pump, the impact pressure in the straight pipeline, and the impact pressure at the pipeline bend;

[0059] Further, the inlet water pressure in this embodiment refers to the pressure of water at the inlet of the digital pump. This pressure is mainly affected by the water level height of the water source, pipeline resistance, and other upstream equipment;

[0060] For example, if the water source water level is relatively high, then the inlet water pressure is relatively large; if there is a blockage in the inlet pipeline or the pipe diameter is small, etc., it will increase the water flow resistance and cause the inlet water pressure to decrease. The inlet water pressure is an important parameter to ensure that the pump can normally suck in the liquid. If the inlet water pressure is too low, it may cause problems such as cavitation in the pump, affecting the performance and life of the pump.

[0061] The outlet water pressure refers to the pressure of water at the outlet when the pump delivers the water. It mainly depends on factors such as the performance, rotational speed, flow rate of the pump, and the characteristics of the outlet pipeline. The higher the rotational speed of the pump and the smaller the flow rate, usually the higher the outlet water pressure; if the outlet pipeline has a small diameter and large resistance, it will also increase the outlet water pressure. The outlet water pressure determines the height and distance to which the water can be delivered and is one of the key indicators to measure the working effect of the pump.

[0062] The impact pressure in the straight pipeline refers to when the digital pump starts or stops, and when the flow rate changes suddenly during operation, the flow rate of the liquid in the straight pipeline will change rapidly. Due to the inertia of the liquid, an instantaneous pressure fluctuation, that is, impact pressure, will be generated in the pipeline. For example, when the pump starts suddenly, the liquid accelerates rapidly from a stationary state, which will generate a large impact force on the pipeline wall; when the pump stops suddenly, the liquid will still continue to flow forward due to inertia, and a reverse impact pressure will also be generated.

[0063] The impact pressure at the pipeline bend refers to when the liquid flows through the pipeline bend, its flow direction will change, and the momentum of the liquid will also change accordingly, thereby generating an additional pressure on the pipeline wall at the bend, that is, impact pressure. This is because the liquid needs to overcome the inertial force when turning and convert a part of its kinetic energy into pressure energy on the pipeline wall.

[0064] Further, the steps for obtaining the biaxial curve of rotational speed-flow rate-pressure change and differential pressure change curve under normal conditions in this embodiment include:

[0065] Obtain the flow rate, pressure, and rotational speed data at the start and stop times of the historical digital pump and during continuous operation periods, intercept the data segments of the flow rate, pressure, and rotational speed corresponding to the time periods without eddy currents and backflows, and splice them in the time dimension to construct normal operation data;

[0066] Based on the flow rate, rotational speed, and pressure in the normal operation data, construct a double-axis change curve of rotational speed-flow rate-pressure under normal conditions;

[0067] Based on the inlet pressure and outlet pressure of the digital pump, the impact pressure of the straight pipeline, and the impact pressure at the pipeline bend in the normal operation data, obtain the pressure difference under normal conditions;

[0068] Using the time as the horizontal axis for the pressure difference under normal conditions, construct a pressure difference change curve under normal conditions with the pressure difference corresponding to the time;

[0069] S2. Input the real-time flow rate, pressure, and rotational speed data into the built-in double-axis curve function of rotational speed-flow rate-pressure change and the pressure difference change curve function, and combine with the double-axis curve of rotational speed-flow rate-pressure change and the pressure difference change curve under normal conditions to obtain the oscillation value of the curve slope at each moment;

[0070] Furthermore, the double-axis change curve of rotational speed-flow rate-pressure in this embodiment includes a rotational speed-flow rate curve and a flow rate-pressure curve; for the double-axis coordinate system of the double-axis change curve of rotational speed-flow rate-pressure, the rotational speed is used as the horizontal axis, the flow rate is used as the left vertical axis in the double-axis coordinate system, and the pressure is used as the right vertical axis in the double-axis coordinate system;

[0071] Align the rotational speed-flow rate curve and the flow rate-pressure curve with the flow rate as the alignment dimension variable, and use the flow rate dependent variable corresponding to each point in the rotational speed-flow rate curve as the independent variable of the flow rate-pressure curve.

[0072] Furthermore, the steps for obtaining the oscillation value of the curve slope corresponding to each moment in this embodiment include:

[0073] Based on the flow rate, pressure, and rotational speed data at the start and stop times of the historical digital pump and during continuous operation periods, respectively fit and obtain the rotational speed-flow rate function and the flow rate-pressure function through the non-linear radial kernel function in the convolutional neural network;

[0074] Based on the rotational speed-flow rate function and the flow rate-pressure function, obtain the corresponding real-time rotational speed-flow rate curve and real-time flow rate-pressure curve;

[0075] Configure the real-time rotational speed-flow rate curve and the real-time flow rate-pressure curve into the coordinate system corresponding to the double-axis change curve of rotational speed-flow rate-pressure under normal conditions, and align the abscissas of the real-time rotational speed-flow rate curve and the real-time flow rate-pressure curve with the rotational speed-flow rate curve and the flow rate-pressure curve under normal conditions;

[0076] The real-time curve and the corresponding normal-state curve here are aligned with the corresponding horizontal-axis coordinates.

[0077] Based on the real-time rotational speed-flow rate curve and the rotational speed-flow rate curve under normal conditions, obtain the first real-time slope value corresponding to each coordinate point in the real-time rotational speed-flow rate curve and the first normal-state slope value corresponding to the coordinate point in the rotational speed-flow rate curve under normal conditions;

[0078] Based on the difference between the first real-time slope value and the first normal-state slope value, obtain the first slope oscillation value;

[0079] Similarly, based on the real-time flow rate-pressure curve and the flow rate-pressure curve under normal conditions, obtain the difference between the corresponding second real-time slope value and the second normal-state slope value, and obtain the second slope oscillation value;

[0080] Take the first slope oscillation value as the dependent variable and the second slope oscillation value as the independent variable to obtain the pressure-rotational speed abnormal oscillation mapping function, and align the abscissas of the real-time rotational speed-flow rate curve and the real-time flow rate-pressure curve with the rotational speed-flow rate curve and the flow rate-pressure curve under normal conditions.

[0081] This process comprehensively obtains multi-dimensional data of the digital pump operation, constructs the rotational speed-flow rate-pressure double-axis change curve and the pressure difference change curve under normal conditions, and provides an accurate reference for judging the operation state. By comparing the real-time data with the built-in function and the normal curve, the slope oscillation value of the corresponding curve at each moment is obtained, which can sensitively capture the subtle deviation during operation and accurately monitor abnormal conditions. Aligning the rotational speed-flow rate curve and the flow rate-pressure curve with the flow rate and constructing the mapping function can deeply analyze the complex relationship between various parameters, reveal the operation state of the pump from multiple dimensions, and provide strong support for timely detecting abnormalities such as eddy current and backflow, as well as fault diagnosis and optimal control.

[0082] S3. Input the slope oscillation value of the corresponding curve at each moment and the simulated pressure difference-check valve rate function into the configured dual-path multi-stage difference control model to generate differential speed regulation instructions and check valve control instructions;

[0083] Further, the acquisition process of the simulated pressure difference-check valve rate function in this embodiment includes:

[0084] Through simulation, when the digital pump has backflow, obtain the pressure differences respectively generated by the inlet pressure and the outlet pressure, the impact pressure of the straight pipeline, and the impact pressure at the pipeline bend, the backflow distance between the position point where the pressure difference is generated at the inlet and the check valve, and the average reaction rate of the successful check valve closure when backflow occurs;

[0085] 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;

[0086] 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;

[0087] based on , and ,Through the variance analysis algorithm, the pressure difference position discrimination factors under different types of pressure differences are obtained;

[0088] Each time point corresponds to , and , integrated in the time dimension to obtain a complete pressure difference series;

[0089] 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;

[0090] 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;

[0091] 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.

[0092] 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:

[0093] 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;

[0094] The flow rate, pressure, and rotational speed data of the digital pump corresponding to the occurrence of eddy current and backflow are simulated through a simulation algorithm, and the corresponding data are input into a dual-path multi-stage differential control model for training on the adjustment of the flow rate and the closing rate of the check valve;

[0095] Based on the training output of the flow rate and the closing rate of the check valve, they are input into the simulation algorithm for simulation to obtain the probability values of the occurrence of eddy current and backflow;

[0096] Set the training probability threshold and the training cycle, and train the dual-path multi-stage differential control model through the probability values of the occurrence of eddy current and backflow, the training probability threshold, and the training cycle to obtain the trained dual-path multi-stage differential control model.

[0097] Furthermore, the steps for generating the differential speed regulation instruction and the check valve control instruction in this embodiment include:

[0098] The trained dual-path multi-stage differential 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 rotational speed-flow rate-pressure biaxial change curve;

[0099] When at least one of the first real-time slope value or the second real-time slope value is not 0, obtain the corresponding rotational speed adjustment value through the anti-eddy current adjustment path;

[0100] Furthermore, the specific process of obtaining the corresponding rotational speed adjustment value through the anti-eddy current adjustment path is as follows:

[0101] Obtain the first real-time slope value or the second real-time slope value through the curve built in the anti-eddy current adjustment path, and according to the first real-time slope value or the second real-time slope value, obtain the rotational speed adjustment value of the digital pump that needs to be adjusted corresponding to the abnormal oscillation of pressure or flow rate through the constructed rotational speed-flow rate function, flow rate-pressure function, and pressure-rotational speed abnormal oscillation mapping function;

[0102] Generate a rotational speed adjustment instruction according to the obtained rotational speed adjustment value;

[0103] Similarly, through the real-time pressure difference change curve combined with the pressure difference change curve under normal conditions, obtain the corresponding pressure difference value in real time, as well as the position and distance of the pressure difference generated with the water inlet;

[0104] According to the pressure difference value, as well as the position and distance of the pressure difference generated with the water inlet, obtain the closing rate of the check valve corresponding to the current pressure difference type at the current time point through the check valve control path;

[0105] Furthermore, in this embodiment, during this process, the differential pressure position discrimination factors under different types of differential pressures in the differential pressure - check valve closing rate function are used to analyze the real - time obtained differential pressure curve and data, so as to obtain the type and position of the corresponding differential pressure. Based on the obtained type and position, the corresponding backflow distance is obtained, and according to the backflow distance and backflow velocity, the corresponding backflow time is obtained. Based on the backflow time, the rate required for the check valve to successfully close and stop the backflow can be accurately calculated to successfully stop the backflow.

[0106] Generate a check valve control instruction corresponding to the current type of differential pressure based on the check valve closing rate corresponding to the current time point.

[0107] Furthermore, in actual applications, this process obtains the key data when the digital pump has backflow through simulation, and then generates a differential pressure - check valve closing rate function, providing a core basis for accurately controlling the check valve. During the actual water supply process, when the water consumption decreases late at night and the working state of the pump changes, and there may be a risk of backflow, this function can provide key references for subsequent check valve control according to factors such as different pressure conditions and backflow distance.

[0108] Construct a dual - path multi - level differential control model and embed relevant curves and functions. Combining with the fuzzy control algorithm, it integrates the complex non - linear relationships among various parameters during the operation of the pump. When the water demand surges during the morning and evening rush hours, the anti - vortex adjustment path in the model, through the built - in rotational speed - flow velocity - pressure biaxial change curve, rotational speed - flow velocity function, flow velocity - pressure function, and pressure - rotational speed abnormal oscillation mapping function, can judge whether there is an abnormal oscillation of flow velocity or pressure in real time according to the slope oscillation value, and then accurately calculate the rotational speed adjustment value and generate a speed regulation instruction, enabling the rotational speed of the pump to quickly respond to the change of water supply demand, avoiding the generation of eddy current due to unreasonable rotational speed, and ensuring stable and efficient water supply. For example, when the flow rate and pressure suddenly change in a certain area due to a sudden peak water consumption, the anti - vortex adjustment path can act quickly to adjust the rotational speed of the pump to ensure the water supply in this area.

[0109] The check valve control path uses the differential pressure - check valve closing rate function and the differential pressure change curve, and plays a key role when the pipeline pressure fluctuates due to the start - stop of the pump or the change of flow rate. In the straight pipeline and the turning of the water supply pipeline, the impact pressure generated when the pump starts and stops and the impact pressure at the pipeline turning may cause backflow. At this time, the check valve control path analyzes the real - time differential pressure by combining the real - time obtained differential pressure value, differential pressure position and distance, and the differential pressure position discrimination factor, accurately calculates the check valve closing rate and generates a control instruction. For example, in a certain section of the water supply pipeline where the pump starts and stops frequently, the check valve control path can adjust the check valve closing rate in a timely manner according to the real - time monitored pressure change, effectively prevent backflow, reduce the damage of the impact pressure to the pipeline system, and ensure the safety and service life of the pipeline system.

[0110] In addition, in the process of obtaining the differential pressure - check valve closing rate function in this embodiment, the pressure change of the digital pump under different working conditions was accurately measured through simulation technology, including key parameters such as the differential pressure between the inlet and outlet, the impact pressure in the straight pipeline, and the impact pressure at the bend. These data not only helped identify the positions and influence ranges of different types of differential pressures, but also provided a basis for constructing the real - time differential pressure change curve later. The differential pressure position discrimination factor obtained through the analysis of variance algorithm can effectively distinguish various types of differential pressures, and combined with the differential pressure - check valve closing rate function generated by the logistic regression function, it ensures that the system can accurately calculate the optimal closing rate required for the check valve in any situation.

[0111] Next, the application of the dual - path multi - level differential control model further improves the response ability and stability of the system. This model consists of an anti - vortex adjustment path and a check valve control path, and is constructed based on the fuzzy control algorithm. During the actual operation process, the anti - vortex adjustment path dynamically adjusts the pump speed by real - time monitoring the change curves of speed - flow rate - pressure, avoiding the vortex phenomenon caused by abnormal oscillations of flow rate or pressure. The check valve control path calculates the optimal check valve closing rate required at the current time point according to the real - time obtained differential pressure value and differential pressure type, thus effectively preventing the occurrence of backflow phenomenon. For example, during the peak water usage periods 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 precisely controlling the closing speed of the check valve, it avoids the risk of pipe network rupture caused by sudden pressure changes. During the late - night low - demand period, the system automatically slows down the pump operation speed, reducing unnecessary energy consumption and extending the service life of the equipment.

[0112] S4. Input the differential speed regulation instruction and the check valve control instruction into the control system configured for the digital pump to perform real - time digital pump speed regulation and check valve control.

[0113] Embodiment 2

[0114] Please refer to Figure 2 , another embodiment provided by the present invention: a digital pump intelligent measurement system based on anti - vortex and check valve functions, including: a data acquisition module, a measurement module, and a control module;

[0115] The data acquisition module is used to obtain the real - time flow rate, pressure, speed data, check valve closing rate at the start and stop moments of the digital pump and during the continuous working period, as well as the speed - flow rate - pressure change biaxial curve and differential pressure change curve under normal conditions;

[0116] The measurement module is used to input the real - time flow rate, pressure, and speed data into the built - in speed - flow rate - pressure change biaxial curve function and differential pressure change curve function, and combine the speed - flow rate - pressure change biaxial curve and differential pressure change curve under normal conditions to obtain the oscillation value of the curve slope at each moment;

[0117] The control module is configured to input the curve slope oscillation value corresponding to each moment and the differential pressure-check valve rate function of the simulation into a configured dual-path multi-stage differential control model to generate differential speed regulation instructions and check valve control instructions, and input the differential speed regulation instructions and check valve control instructions into the control system configured for the digital pump to perform real-time digital pump speed regulation and check valve control.

[0118] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative rather than restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make changes, modifications, substitutions, and variations to the above embodiments without departing from the spirit and scope protected by the present invention and claims. All of these fall within the protection scope 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; Input differential speed regulation instructions and non-return control instructions into the control system configured for the digital pump to perform real-time digital pump speed regulation and non-return control; The pressure difference of the pressure difference variation curve includes the inlet and outlet pressure difference, the pressure difference between the water inlet pressure and the impact pressure of the straight pipeline, and the pressure difference between the water inlet pressure and the impact pressure at the bend of the pipeline.

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 inlet pressure and the water outlet pressure 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 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.

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 change curve includes a speed-flow rate curve and a flow rate-pressure curve; the 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 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 real-time speed-flow rate curve and the real-time 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 the real-time flow rate-pressure curve are aligned with the speed-flow rate curve and the flow rate-pressure curve under normal conditions on the horizontal coordinates.

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; Based on the inlet pressure, outlet pressure, straight pipe impact pressure and pipe bend impact pressure, obtain the pressure difference subsequence , and ,in Represents the import and export pressure difference subsequence, represents the pressure difference subsequence between the water inlet pressure and the impact pressure of the straight pipe, The pressure difference subsequence between the water inlet pressure 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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