Control device and method for relay pump

Abstract

The present invention discloses a control device and method for a relay pump, wherein the method comprises real-time collection of various monitoring data and various control parameters of each relay pump in a target relay pump group to obtain various monitoring time series of each relay pump; performing a primary screening on the monitoring data according to the fluctuation characteristics of the extracted monitoring data to obtain a first key monitoring parameter; performing a secondary screening based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain a second key monitoring parameter; calculating a parameter adjustment coefficient of each control parameter based on the difference characteristics between the second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter, obtaining an optimal control parameter combination, and executing a corresponding pumping strategy. The control device and method for a relay pump provided by the embodiment of the present invention improve the accuracy of controlling the relay pump.

Description

Technical Field

[0001] The present invention relates to the technical field of relay pump control, and in particular to a control device and method for a relay pump. Background Art

[0002] A relay pump is a pump system used to transport liquids or gases over long distances or at high lifts. By working in tandem with multiple pumps, it increases pressure or flow in stages, ensuring that the medium can be smoothly transported to its destination. It is widely used in the transportation of long distances, high lifts, large flows, and special media. Coordinated control of relay pumps ensures stable and efficient system operation.

[0003] However, since the monitoring and control of relay pumps involve the influence of many complex factors, it is difficult for existing technologies to integrate and analyze these complex factors, resulting in low accuracy in relay pump control.

[0004] Therefore, how to improve the accuracy of controlling the docking pump has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] The present invention provides a control device and method for a relay pump to solve the technical problem that the monitoring and control of the relay pump involve the influence of many complex factors, and the existing technology is difficult to integrate and analyze these complex factors, resulting in low accuracy of relay pump control.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a control method for a relay pump.

[0007] Collecting various monitoring data and various control parameters of each relay pump in the target relay pump group in real time; processing the monitoring data to obtain various monitoring time series of each relay pump;

[0008] performing a primary screening of the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain respective first key monitoring parameters; performing a secondary screening of all the first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain respective second key monitoring parameters;

[0009] Calculating a parameter adjustment coefficient for each control parameter of each relay pump based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter; and obtaining an optimal control parameter combination for each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump;

[0010] The functional components corresponding to the target relay pump group are controlled to execute a pumping strategy that matches the optimal control parameter combination.

[0011] As one preferred solution, the monitoring data is screened according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter, including:

[0012] Performing variational modal decomposition on each of the monitoring time series to obtain each monitoring modal component of each of the monitoring time series;

[0013] Calculating an accidental interference index of each monitoring modal component based on the distribution characteristics of the peak points in each monitoring modal component, wherein the accidental interference index reflects the possibility that the corresponding monitoring modal component is an interference signal generated by accidental factors;

[0014] Comparing and screening the accidental interference indexes of all the monitoring modal components of each monitoring time series to obtain the original monitoring components of each monitoring time series;

[0015] Various first key monitoring parameters are obtained based on the stationary characteristics of fluctuations of different types of the original monitoring components.

[0016] As one preferred solution, the calculating of the accidental interference index of each of the monitored modal components based on the distribution characteristics of the peak points in each of the monitored modal components includes:

[0017] taking the time interval between each peak point and the corresponding next peak point in each monitored modal component as the fluctuation interval of each peak point in each monitored modal component;

[0018] Binary classification is performed on all the peak points in each of the monitored modal components based on the fluctuation interval to obtain each fluctuation interval peak point and each fluctuation partition peak point; wherein the first fluctuation interval of the fluctuation partition peak point is greater than the second fluctuation interval of the fluctuation interval peak point;

[0019] Taking each of the fluctuation partition peak points in each of the monitored modal components as a dividing point, each of the monitored modal components is divided into individual monitoring segments; extracting a peak distribution feature vector for each of the monitoring segments based on the number of peak points in each of the monitoring segments and the corresponding distribution range of the peak points;

[0020] The accidental interference index of each monitoring modal component is calculated based on the difference characteristics of the peak distribution feature vectors of all the monitoring segments in each monitoring modal component.

[0021] As one preferred solution, the obtaining of each first key monitoring parameter based on the stationary characteristics of the fluctuations of different types of the original monitoring components includes:

[0022] Based on the linear relationship between the average value and the corresponding range of the original monitoring components of the same type of all the relay pumps, a fluctuation non-stationary factor of each monitoring data is calculated; wherein the fluctuation non-stationary factor reflects the non-stationary characteristics of the fluctuation of the corresponding monitoring data;

[0023] The average value of all the fluctuation non-stationary factors is used as the fluctuation non-stationary reference factor, and the fluctuation non-stationary factors and the non-stationary reference factors of all the monitoring data are compared and analyzed to obtain various first key monitoring parameters.

[0024] As one preferred solution, the second-level screening is performed on all the first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain various second key monitoring parameters, including:

[0025] The average value of the Pearson correlation coefficients between each of the first key monitoring parameters and the remaining first key monitoring parameters of the same relay pump is used as the corresponding monitoring correlation factor; wherein the monitoring correlation factor reflects the correlation characteristics of the fluctuations of the corresponding first key monitoring parameters;

[0026] Processing the fluctuation non-stationary factor of the same first key monitoring parameter of all the relay pumps to obtain a confidence weight of each first key monitoring parameter; wherein the fluctuation non-stationary factor reflects the non-stationary characteristics of the fluctuation of the corresponding first key monitoring parameter;

[0027] performing a weighted summation of the monitoring correlation factors of the same first key monitoring parameter of all the relay pumps using the confidence weight as a key monitoring index of each first key monitoring parameter;

[0028] Each second key monitoring parameter is obtained based on the ranking result of the key monitoring indexes of all the first key monitoring parameters.

[0029] As one preferred solution, the parameter adjustment coefficient of each control parameter of each relay pump is calculated based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter, including:

[0030] Using the difference between each of the second key monitoring parameters and the corresponding monitoring standard as the error factor of each of the second key monitoring parameters;

[0031] The value of each control parameter of each relay pump, the error factor of each second key monitoring parameter of each relay pump, and the Pearson correlation coefficient between each control parameter of each relay pump and each second key monitoring parameter are input into the parameter adjustment expression to calculate the parameter adjustment coefficient of each control parameter of each relay pump.

[0032] As one of the preferred solutions, the parameter adjustment expression is designed as follows:

[0033]

[0034] in, For the The first relay pump The parameter adjustment coefficient of each control parameter, is the normalization function, For the The first relay pump The error factor of the second key monitoring parameter, is the number of the second key monitoring parameters, For the The first relay pump The control parameters and The Pearson correlation coefficient between the second key monitoring parameters.

[0035] As one preferred solution, obtaining the optimal control parameter combination of each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump includes:

[0036] taking the product of the current control parameter of each relay pump and the corresponding parameter adjustment coefficient as the adjustment value of the current control parameter of each relay pump;

[0037] adding the corresponding adjustment value to the current control parameter of each relay pump as the optimized value of the current control parameter of each relay pump;

[0038] An optimal control parameter combination of each relay pump is obtained according to the optimization values ​​of all the current control parameters of each relay pump.

[0039] As one preferred solution, the method further comprises:

[0040] Before controlling the functional components corresponding to the target relay pump group to execute the pumping strategy that matches the optimal control parameter combination, simulating the pumping strategy using a simulation model;

[0041] Feedback optimization is performed on the pumping strategy based on the results of the simulation.

[0042] Another embodiment of the present invention provides a control device for a relay pump, comprising:

[0043] A data processing module is used to collect various monitoring data and various control parameters of each relay pump in the target relay pump group in real time; process the monitoring data to obtain various monitoring time series of each relay pump;

[0044] a monitoring parameter screening module, configured to perform a primary screening of the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter; and perform a secondary screening of all the first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain each second key monitoring parameter;

[0045] a control parameter optimization module, configured to calculate a parameter adjustment coefficient for each control parameter of each relay pump based on a difference characteristic between each second key monitoring parameter and a corresponding monitoring standard, and a correlation characteristic between each control parameter of each relay pump and each second key monitoring parameter; and to obtain an optimal control parameter combination for each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump;

[0046] The pumping strategy execution module is used to control the functional components corresponding to the target relay pump group to execute the pumping strategy that matches the optimal control parameter combination.

[0047] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0048] Collect all monitoring data and control parameters of each relay pump in the target relay pump group in real time; process the monitoring data to obtain each monitoring time series of each relay pump. By collecting all monitoring data and control parameters in real time and converting the monitoring data into time series, the dynamic change law of the monitoring data can be captured, which is convenient for subsequent feature analysis and lays the foundation for screening key parameters; since the monitoring data will be affected by various accidental factors, in order to eliminate the influence of these accidental factors, the monitoring data is screened at the first level according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter. Screening the monitoring data based on the fluctuation characteristics can focus on the more reliable monitoring data in the target relay pump group and reduce the frequent oscillation of the pumping strategy triggered by noise; all first key monitoring parameters are screened based on the fluctuation correlation and stability characteristics of different types of first key monitoring parameters. Secondary screening is performed to obtain each second key monitoring parameter. Through secondary screening, key monitoring parameters that have a greater impact on the control strategy can be extracted, which helps to reduce the complexity of the data and improve the efficiency of subsequent analysis and optimization; based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter, the parameter adjustment coefficient of each control parameter of each relay pump is calculated, and the optimal control parameter combination of each relay pump is obtained based on all parameter adjustment coefficients and the current control parameters of each relay pump; the functional components corresponding to the control target relay pump group are controlled to execute a pumping strategy that matches the optimal control parameter combination. According to the causal relationship between monitoring and control, each control parameter is adjusted accordingly through the difference characteristics between the second key monitoring parameter and the corresponding monitoring standard, which significantly improves the control accuracy of the relay pump group. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic flow chart of a control method for a relay pump in one embodiment of the present invention;

[0050] Figure 2 Schematic diagram of a process for obtaining a first key monitoring parameter in one embodiment of the present invention;

[0051] Figure 3 This is a structural block diagram of a control device for a relay pump in one embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0053] In the description of this application, the terms "first," "second," "third," etc. are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first," "second," "third," etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0054] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a communication between the two components. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are for illustrative purposes only, and do not indicate or imply that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0055] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in this application have the same meanings as those commonly understood by those skilled in the art. The terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. Those skilled in the art will understand the specific meanings of the above terms in this application in specific circumstances.

[0056] An embodiment of the present invention provides a control method for a relay pump. For details, see Figure 1 , Figure 1 The figure shows a flow chart of a control method of a relay pump in one embodiment of the present invention.

[0057] Step S1: collecting various monitoring data and various control parameters of each relay pump in the target relay pump group in real time; processing the monitoring data to obtain various monitoring time series of each relay pump.

[0058] Step S2, performing a primary screening of the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter; performing a secondary screening of all first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of first key monitoring parameters to obtain each second key monitoring parameter.

[0059] Step S3, based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter, the parameter adjustment coefficient of each control parameter of each relay pump is calculated; based on all parameter adjustment coefficients and the current control parameters of each relay pump, the optimal control parameter combination of each relay pump is obtained.

[0060] Step S4: Control the functional components corresponding to the target relay pump group to execute a pumping strategy that matches the optimal control parameter combination.

[0061] The present embodiment provides a control method for a relay pump, which can capture the dynamic change pattern of the monitoring data by collecting all monitoring data and control parameters in real time and converting the monitoring data into a time series, so as to facilitate subsequent feature analysis and lay the foundation for screening key parameters; through the first-level screening of key monitoring parameters, the monitoring data with smooth daily fluctuations or no significant changes but capable of quickly responding to sudden changes is retained, the focus is on parameters sensitive to the system state, the subsequent calculation amount is reduced, the interference of irrelevant parameters is avoided, and the accuracy of subsequent relay pump control is improved; through the second-level screening, the key monitoring parameters with a greater impact on the control strategy can be extracted, which helps to reduce the complexity of the data and improve the efficiency of subsequent analysis and optimization; based on the causal relationship between monitoring and control, the various control parameters are adjusted accordingly through the difference characteristics between the second key monitoring parameter and the corresponding monitoring standard, which significantly improves the control accuracy of the relay pump group.

[0062] In one embodiment, Figure 1 In step S2, the monitoring data is screened according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter, including steps S201 to S204. For details, see Figure 2 , Figure 2 FIG2 is a schematic diagram of a process for obtaining a first key monitoring parameter in one embodiment of the present invention.

[0063] Step S201 : performing variational modal decomposition on each monitoring time series to obtain each monitoring modal component of each monitoring time series.

[0064] It should be noted that variational mode decomposition can decompose complex non-stationary signals into a series of intrinsic mode functions with different center frequencies and limited bandwidths. Since the monitoring and control of relay pumps involve the influence of many complex factors, it is often difficult to accurately identify faults or anomalies by directly analyzing the original signal. By separating the various factors through variational mode decomposition, the signal components of different frequency bands can be analyzed more clearly, thereby improving the monitoring accuracy and control effect of the system.

[0065] Step S202 , calculating the accidental interference index of each monitored modal component based on the distribution characteristics of the peak points in each monitored modal component, wherein the accidental interference index reflects the possibility that the corresponding monitored modal component is an interference signal generated by accidental factors.

[0066] Step S203 : comparing and screening the accidental interference indices of all monitored modal components of each monitoring time series to obtain the original monitoring components of each monitoring time series.

[0067] Step S204: acquiring various first key monitoring parameters based on the stationary characteristics of the fluctuations of different types of original monitoring components.

[0068] The present embodiment provides a control method for a relay pump, which decomposes a complex monitoring time series into modal components of different frequency bands to facilitate separation of actual working condition signals from interference, and statistically calculates the peak point distribution of the modal components. If the peak values ​​are randomly dispersed and irregular, they are determined to be occasional interference, and modal components with low occasional interference indexes are retained. Frequent oscillations of the pumping strategy triggered by noise are reduced, and the stability of the original monitoring components is analyzed. Monitoring parameters with daily unstable fluctuations are screened out, thereby further improving the accuracy of relay pump control.

[0069] In one embodiment, Figure 2 In step S202, the accidental interference index of each monitored modal component is calculated based on the distribution characteristics of the peak points in each monitored modal component, including:

[0070] The time interval between each peak point and the corresponding next peak point in each monitored modal component is used as the fluctuation interval of each peak point in each monitored modal component;

[0071] All peak points in each monitored modal component are classified into two categories based on the fluctuation interval to obtain each fluctuation interval peak point and each fluctuation partition peak point; wherein the first fluctuation interval of the fluctuation partition peak point is greater than the second fluctuation interval of the fluctuation interval peak point;

[0072] Each monitoring modal component is divided into monitoring segments using each fluctuation partition peak point in each monitoring modal component as a dividing point; the peak distribution feature vector of each monitoring segment is extracted based on the number of peak points in each monitoring segment and the distribution range of the corresponding peak points;

[0073] The accidental interference index of each monitored modal component is calculated based on the difference characteristics of the peak distribution feature vectors of all monitored segments in each monitored modal component.

[0074] This embodiment provides a control method for a relay pump. By quantifying the time intervals between adjacent peak points and establishing a dynamic division standard, the peak points are divided into fluctuation interval peak points and fluctuation partition peak points. Each monitoring modal component is then divided into various monitoring segments. Each monitoring segment represents a concentrated fluctuation period. When the difference in the peak distribution characteristic vectors of each monitoring segment is greater, the monitoring modal component is more likely to be a fluctuation caused by accidental factors, and the accidental interference index value is larger.

[0075] The calculation method of the accidental interference index in this embodiment is: all monitoring segments in each monitoring modal component are combined in pairs, the Euclidean distance between the peak distribution feature vectors of the two monitoring segments in each combination is used as the segmented fluctuation difference of each combination, and the average value of the segmented fluctuation differences of all combinations in each monitoring modal component is used as the accidental interference index of each monitoring modal component.

[0076] In one embodiment, Figure 2 In step S204, various first key monitoring parameters are obtained based on the stationary characteristics of the fluctuations of different types of original monitoring components, including:

[0077] Based on the linear relationship between the average value and the corresponding range of the same type of original monitoring components of all relay pumps, the fluctuation non-stationary factor of each monitoring data is calculated; among them, the fluctuation non-stationary factor reflects the non-stationary characteristics of the fluctuation of the corresponding monitoring data.

[0078] The average value of all the fluctuation non-stationary factors is used as the fluctuation non-stationary reference factor, and the fluctuation non-stationary factors and the non-stationary reference factors of all monitoring data are compared and analyzed to obtain the first key monitoring parameters.

[0079] In one embodiment, Figure 1 In step S2, all first key monitoring parameters are screened at a secondary level based on the fluctuation correlation and stability characteristics of different types of first key monitoring parameters to obtain various second key monitoring parameters, including steps S301 to S304.

[0080] In step S301, the average value of the Pearson correlation coefficients between each first key monitoring parameter and the remaining first key monitoring parameters of the same relay pump is used as the corresponding monitoring correlation factor; wherein the monitoring correlation factor reflects the correlation characteristics of the fluctuation of the corresponding first key monitoring parameter.

[0081] Step S302 , processing the fluctuation non-stationary factors of the same first key monitoring parameter of all relay pumps to obtain the confidence weight of each first key monitoring parameter; wherein the fluctuation non-stationary factor reflects the non-stationary characteristics of the fluctuation of the corresponding first key monitoring parameter.

[0082] Step S303 : performing weighted summation of monitoring correlation factors of the same first key monitoring parameter of all relay pumps using confidence weights to obtain a key monitoring index of each first key monitoring parameter.

[0083] Step S304: acquiring each second key monitoring parameter based on the ranking result of the key monitoring indexes of all first key monitoring parameters.

[0084] This embodiment provides a control method for a relay pump, which quantifies the coordinated change relationship between monitoring data by monitoring correlation factors, determines the monitoring parameters most suitable for control analysis, processes the fluctuation non-stationary factors of the same first key monitoring parameter of all relay pumps, obtains the confidence weights of each first key monitoring parameter, and uses the confidence weights to perform a weighted summation of the monitoring correlation factors of the same first key monitoring parameter of all relay pumps, thereby avoiding interference of individual noise in single pump data analysis and improving the accuracy of subsequent pumping strategy formulation.

[0085] In one embodiment, Figure 1 In step S3, the parameter adjustment coefficient of each control parameter of each relay pump is calculated based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter, including:

[0086] The difference between each second key monitoring parameter and the corresponding monitoring standard is used as the error factor of each second key monitoring parameter; the value of each control parameter of each relay pump, the error factor of each second key monitoring parameter of each relay pump, and the Pearson correlation coefficient between each control parameter of each relay pump and each second key monitoring parameter are input into the parameter adjustment expression to calculate the parameter adjustment coefficient of each control parameter of each relay pump.

[0087] In this embodiment, the parameter adjustment expression is designed as follows:

[0088]

[0089] in, For the The first relay pump The parameter adjustment coefficient of each control parameter, is the normalization function, For the The first relay pump The error factor of the second key monitoring parameter, is the number of the second key monitoring parameters, For the The first relay pump The control parameters and The Pearson correlation coefficient between the second key monitoring parameters.

[0090] This embodiment provides a control method for a relay pump, which sets a parameter adjustment coefficient of a control parameter according to the degree of deviation of a second key monitoring parameter, thereby adjusting the control parameter. By using the Pearson correlation coefficient between the control parameter and the second key monitoring parameter as a weight, the degree of deviation of the second key monitoring parameter that is significantly correlated with the control parameter can have a greater reference significance, thereby improving the reliability of determining the parameter adjustment coefficient and further improving the accuracy of relay pump control.

[0091] In one embodiment, Figure 1 In step S3, the optimal control parameter combination of each relay pump is obtained based on all parameter adjustment coefficients and the current control parameters of each relay pump, including:

[0092] The product of the current control parameter of each relay pump and the corresponding parameter adjustment coefficient is used as the adjustment value of the current control parameter of each relay pump; the current control parameter of each relay pump plus the corresponding adjustment value is used as the optimized value of the current control parameter of each relay pump; and the optimal control parameter combination of each relay pump is obtained based on the optimized values ​​of all current control parameters of each relay pump.

[0093] In one embodiment, examples of the current control parameters and optimal control parameter combinations of relay pump A are shown in the following table:

[0094]

[0095] In one embodiment, the optimal control parameter combinations of all relay pumps are smoothed to avoid sudden adjustments that would cause large differences in the optimal control parameter combinations of adjacent relay pumps and trigger system oscillations.

[0096] In one embodiment, Figure 1In step S4, before the functional components corresponding to the target relay pump group are controlled to execute the pumping strategy that matches the optimal control parameter combination, the pumping strategy is simulated using a simulation model; and the pumping strategy is feedback optimized based on the simulation results.

[0097] This embodiment provides a control method for a relay pump, which continuously improves the pumping strategy through a feedback optimization process, adjusts parameters and control strategies according to simulation results, and further improves the accuracy of relay pump control.

[0098] Another embodiment of the present invention provides a control device for a relay pump. Figure 3 , Figure 3 Shown is a structural block diagram of a control device for a relay pump in one embodiment of the present invention.

[0099] This embodiment provides a control device for a relay pump, comprising:

[0100] The data processing module 11 is used to collect the monitoring data and control parameters of each relay pump in the target relay pump group in real time; process the monitoring data to obtain the monitoring time series of each relay pump;

[0101] The monitoring parameter screening module 12 is configured to perform a primary screening of the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter; and perform a secondary screening of all first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of first key monitoring parameters to obtain each second key monitoring parameter;

[0102] The control parameter optimization module 13 is configured to calculate the parameter adjustment coefficients of the control parameters of each relay pump based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter; and to obtain the optimal control parameter combination for each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump;

[0103] The pumping strategy execution module 14 is used to control the functional components corresponding to the target relay pump group to execute the pumping strategy that matches the optimal control parameter combination.

[0104] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A control method for a relay pump, characterized in that: The method comprises: Collecting various monitoring data and various control parameters of each relay pump in the target relay pump group in real time; processing the monitoring data to obtain various monitoring time series of each relay pump; performing a primary screening of the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain respective first key monitoring parameters; performing a secondary screening of all the first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain respective second key monitoring parameters; Calculating a parameter adjustment coefficient for each control parameter of each relay pump based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter; and obtaining an optimal control parameter combination for each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump; The functional components corresponding to the target relay pump group are controlled to execute a pumping strategy that matches the optimal control parameter combination.

2. A control method for a relay pump according to claim 1, characterized in that: The first-level screening of the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter includes: Performing variational modal decomposition on each of the monitoring time series to obtain each monitoring modal component of each of the monitoring time series; Calculating an accidental interference index of each monitoring modal component based on the distribution characteristics of the peak points in each monitoring modal component, wherein the accidental interference index reflects the possibility that the corresponding monitoring modal component is an interference signal generated by accidental factors; Comparing and screening the accidental interference indexes of all the monitoring modal components of each monitoring time series to obtain the original monitoring components of each monitoring time series; Various first key monitoring parameters are obtained based on the stationary characteristics of fluctuations of different types of the original monitoring components.

3. A control method for a relay pump according to claim 2, characterized in that: The calculating of the accidental interference index of each of the monitored modal components based on the distribution characteristics of the peak points in each of the monitored modal components includes: taking the time interval between each peak point and the corresponding next peak point in each monitored modal component as the fluctuation interval of each peak point in each monitored modal component; Binary classification is performed on all the peak points in each of the monitored modal components based on the fluctuation interval to obtain each fluctuation interval peak point and each fluctuation partition peak point; wherein the first fluctuation interval of the fluctuation partition peak point is greater than the second fluctuation interval of the fluctuation interval peak point; Taking each of the fluctuation partition peak points in each of the monitored modal components as a dividing point, each of the monitored modal components is divided into individual monitoring segments; extracting a peak distribution feature vector for each of the monitoring segments based on the number of peak points in each of the monitoring segments and the corresponding distribution range of the peak points; The accidental interference index of each monitoring modal component is calculated based on the difference characteristics of the peak distribution feature vectors of all the monitoring segments in each monitoring modal component.

4. The control method of a relay pump according to claim 2, characterized in that: The obtaining of each first key monitoring parameter based on the stationary characteristics of the fluctuations of different types of the original monitoring components includes: Based on the linear relationship between the average value and the corresponding range of the original monitoring components of the same type of all the relay pumps, a fluctuation non-stationary factor of each monitoring data is calculated; wherein the fluctuation non-stationary factor reflects the non-stationary characteristics of the fluctuation of the corresponding monitoring data; The average value of all the fluctuation non-stationary factors is used as the fluctuation non-stationary reference factor, and the fluctuation non-stationary factors and the non-stationary reference factors of all the monitoring data are compared and analyzed to obtain various first key monitoring parameters.

5. The control method of a relay pump according to claim 4, characterized in that: The second step of performing secondary screening on all the first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain various second key monitoring parameters includes: The average value of the Pearson correlation coefficients between each of the first key monitoring parameters and the remaining first key monitoring parameters of the same relay pump is used as the corresponding monitoring correlation factor; wherein the monitoring correlation factor reflects the correlation characteristics of the fluctuations of the corresponding first key monitoring parameters; Processing the fluctuation non-stationary factor of the same first key monitoring parameter of all the relay pumps to obtain a confidence weight of each first key monitoring parameter; wherein the fluctuation non-stationary factor reflects the non-stationary characteristics of the fluctuation of the corresponding first key monitoring parameter; performing a weighted summation of the monitoring correlation factors of the same first key monitoring parameter of all the relay pumps using the confidence weight as a key monitoring index of each first key monitoring parameter; Each second key monitoring parameter is obtained based on the ranking result of the key monitoring indexes of all the first key monitoring parameters.

6. The control method of a relay pump according to claim 1, characterized in that: The parameter adjustment coefficient of each control parameter of each relay pump is calculated based on the difference characteristics between each second key monitoring parameter and the corresponding monitoring standard, and the correlation characteristics between each control parameter of each relay pump and each second key monitoring parameter, including: Using the difference between each of the second key monitoring parameters and the corresponding monitoring standard as the error factor of each of the second key monitoring parameters; The value of each control parameter of each relay pump, the error factor of each second key monitoring parameter of each relay pump, and the Pearson correlation coefficient between each control parameter of each relay pump and each second key monitoring parameter are input into the parameter adjustment expression to calculate the parameter adjustment coefficient of each control parameter of each relay pump.

7. A control method for a relay pump according to claim 6, characterized in that: The parameter expression is designed as follows: ;in, For the The first relay pump The parameter adjustment coefficient of each control parameter, is the normalization function, For the The first relay pump The error factor of the second key monitoring parameter, is the number of the second key monitoring parameters, For the The first relay pump The control parameters and The Pearson correlation coefficient between the second key monitoring parameters.

8. The control method of a relay pump according to claim 1, characterized in that: The obtaining of the optimal control parameter combination of each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump includes: taking the product of the current control parameter of each relay pump and the corresponding parameter adjustment coefficient as the adjustment value of the current control parameter of each relay pump; adding the corresponding adjustment value to the current control parameter of each relay pump as the optimized value of the current control parameter of each relay pump; An optimal control parameter combination of each relay pump is obtained according to the optimization values ​​of all the current control parameters of each relay pump.

9. The control method of a relay pump according to claim 1, characterized in that: The method further comprises: Before controlling the functional components corresponding to the target relay pump group to execute the pumping strategy that matches the optimal control parameter combination, simulating the pumping strategy using a simulation model; Feedback optimization is performed on the pumping strategy based on the results of the simulation.

10. A control device for a relay pump, characterized in that: include: A data processing module is used to collect various monitoring data and various control parameters of each relay pump in the target relay pump group in real time; Processing the monitoring data to obtain monitoring time series of each relay pump; A monitoring parameter screening module, configured to perform a primary screening on the monitoring data according to the fluctuation characteristics of the monitoring data extracted from each monitoring time series to obtain each first key monitoring parameter; Performing secondary screening on all the first key monitoring parameters based on the fluctuation correlation and stability characteristics of different types of the first key monitoring parameters to obtain respective second key monitoring parameters; a control parameter optimization module, configured to calculate a parameter adjustment coefficient for each control parameter of each relay pump based on a difference characteristic between each second key monitoring parameter and a corresponding monitoring standard, and a correlation characteristic between each control parameter of each relay pump and each second key monitoring parameter; and to obtain an optimal control parameter combination for each relay pump based on all the parameter adjustment coefficients and the current control parameters of each relay pump; The pumping strategy execution module is used to control the functional components corresponding to the target relay pump group to execute the pumping strategy that matches the optimal control parameter combination.

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