Remote control system and control method for electric valve

Abstract

The present invention relates to the field of valve control technology, and specifically to a remote control system and control method for an electric valve. First, a pressure stabilization loss amount characterizing the instability of pipeline pressure is determined based on the fluctuation of pressure values ​​and the correlation between the pressure value and the torque, and then a pressure stabilization demand amount required for maintaining pressure stabilization is determined in combination with the standard pressure deviation distribution of the pressure value; an opening adjustment obstacle amount characterizing the difficulty of adjusting the valve opening is determined according to the changing relationship between pressure and torque and the valve opening; an initial torque adjustment coefficient is determined by comprehensively considering the pressure stabilization demand amount, the opening adjustment obstacle amount and the control hysteresis characteristics shown by historical data; and the initial torque adjustment coefficient is further corrected by adjusting the coefficient weight characterizing the pipeline fault anomaly, so that the final torque adjustment coefficient obtained is more accurate, thereby performing more precise electric valve remote control according to the final torque adjustment coefficient, thereby improving the accuracy and safety of the electric valve remote control.

Description

Technical Field

[0001] The present invention relates to the technical field of valve control, and in particular to a remote control system and a control method for an electric valve. Background Art

[0002] Electric valves are valves that are opened and closed by an electric actuator and are widely used in industrial production, petroleum, chemical, water supply, heating, HVAC, and other fields. Their primary function is to control the flow of media through electric actuation, ensuring the normal operation and safety of the system. With the continuous development of automation technology, remote control systems for electric valves have emerged. Remote control enables real-time monitoring and remote operation of valves, eliminating manual intervention and improving system safety and reliability.

[0003] In a fuel pipeline system, in order to ensure that the pressure in the pipeline system is maintained at a stable state, existing technologies usually monitor the pressure in the fuel pipeline system in real time and control the electric valve in real time based on the pressure monitoring results; however, the fuel in the fuel pipeline will generate pressure on the electric valve, which indirectly affects the difficulty of adjusting the opening of the electric valve, resulting in untimely or excessive control, resulting in insufficient valve control accuracy, and reducing the accuracy and safety of remote control of the electric valve. Summary of the Invention

[0004] In order to solve the technical problem that the existing method of real-time control of electric valves based on pressure monitoring results in the fuel pipeline system may result in untimely or excessive control, resulting in insufficient valve control accuracy, the purpose of this application is to provide a remote control system and control method for electric valves. The technical solutions adopted are as follows:

[0005] A first aspect of the present application provides a remote control method for an electric valve, comprising:

[0006] In the fuel line, a flow data curve and a torque value curve, a pressure value curve, and a valve opening curve of the electric valve are obtained in each monitoring time period;

[0007] Determine the corresponding voltage stabilization loss based on the fluctuation of the pressure value curve in the current monitoring period and its correlation with the corresponding torque value curve; determine the corresponding voltage stabilization requirement based on the voltage stabilization loss in the current monitoring period and the standard pressure deviation distribution of the pressure value curve;

[0008] Determine the corresponding opening adjustment resistance based on the overall numerical value of the valve opening curve during the current monitoring period and the change correlation deviation between the corresponding torque value curve and the corresponding pressure value curve; determine the initial torque adjustment coefficient for the current monitoring period based on the pressure stabilization demand, the opening adjustment resistance, and the fluctuation deviation between the valve opening curve and the pressure value curve during the historical monitoring period;

[0009] The coefficient adjustment weight is determined based on the correlation change between the pressure value curve and the flow data curve in the current monitoring time period; the initial torque adjustment coefficient is adjusted according to the coefficient adjustment weight to determine the final torque adjustment coefficient; and the electric valve is remotely controlled based on the final torque adjustment coefficient.

[0010] Furthermore, the process of obtaining the voltage stabilization loss includes:

[0011] In the current monitoring time period, the average of the absolute values ​​of the tangent slope values ​​at all sampling moments on the pressure value curve is taken as the corresponding average absolute slope value; the mean square error between the pressure value curve of the current monitoring time period and the corresponding torque value curve is negatively correlated and mapped as the corresponding reference curve similarity; the product between the average absolute slope value and the reference curve similarity is normalized to determine the voltage stabilization loss amount of the current monitoring time period.

[0012] Furthermore, the process of obtaining the voltage stabilization demand includes:

[0013] Determine the pressure stability data value based on the pressure loss amount and pressure value distribution in each monitoring time period;

[0014] In the current monitoring time period, the difference between the current pressure value and the pressure stability data value is used as the corresponding stable pressure difference; the product between the stable pressure difference and the stable pressure loss amount is normalized to determine the stable pressure demand in the current monitoring time period.

[0015] Furthermore, the process of obtaining the opening adjustment resistance includes:

[0016] Determine the overall opening value based on the average valve opening at all sampling moments on the valve opening curve during the current monitoring period;

[0017] In the current monitoring period, the difference between the tangent slope of the torque value curve and the tangent slope of the pressure value curve at each sampling moment is used as the reference change difference at each sampling moment; the average of the reference change differences at all sampling moments is used as the control difficulty level;

[0018] The product of the negative correlation mapping value of the overall opening value and the control difficulty level is normalized to determine the opening adjustment obstacle amount in the current monitoring time period.

[0019] Furthermore, the process of obtaining the initial torque adjustment coefficient includes:

[0020] Determine the degree of opening pressure deviation in the current monitoring period based on the mean square error between the valve opening curve and the pressure value curve in the previous monitoring period;

[0021] Determine the valve control follow amount for the current monitoring time period according to the difference between the variance of the pressure value curve in the previous monitoring time period and the variance of the valve opening curve;

[0022] The product of the valve control follow-up amount, the opening pressure deviation degree, the pressure stabilization demand and the opening adjustment resistance amount in the current monitoring time period is normalized to determine the initial torque adjustment coefficient of the current monitoring time period.

[0023] Furthermore, the process of obtaining the coefficient adjustment weight includes:

[0024] The current monitoring time period is divided into at least two sub-time periods, with the time points corresponding to the inflection points on the flow data curve of the current monitoring time period as intervals; a flow data sub-curve on the flow data curve of the current monitoring time period and a pressure value sub-curve on the pressure value curve of the current monitoring time period are obtained for each sub-time period; the mean of the flow data at all sampling moments on the flow data sub-curve is used as the reference flow mean; the ratio between the flow data and the pressure value at each sampling moment is used as the corresponding flow-pressure ratio; the flow-pressure ratio at all sampling moments in each sub-time period is used as the corresponding reference ratio;

[0025] The negative correlation mapping value of the mean square error between the flow data sub-curve and the corresponding pressure value sub-curve corresponding to each sub-time period is used as the corresponding reference sub-similarity; the sub-time period with the largest reference sub-similarity is used as the reference time period; the reference ratio deviation is determined based on the difference between the mean of the reference ratios of all sub-time periods other than the reference time period and the reference ratio of the reference time period; the reference change instability is determined based on the variance of the reference ratios corresponding to all sub-time periods;

[0026] A negative correlation mapping is performed on the product of the reference change instability and the reference ratio deviation to determine the coefficient adjustment weight of the current monitoring time period.

[0027] Furthermore, the process of obtaining the final torque adjustment coefficient includes:

[0028] A final torque adjustment coefficient is determined according to a product of the coefficient adjustment weight and the initial torque adjustment coefficient.

[0029] Furthermore, the process of remotely controlling the electric valve according to the final torque adjustment coefficient includes:

[0030] The average of the torque values ​​of the electric valve at all sampling moments in the current monitoring time period is used as the current torque value; the control torque value is determined based on the product between the positive correlation mapping value of the final torque adjustment coefficient and the current torque value; and the electric valve is remotely controlled in real time based on the control torque value.

[0031] Furthermore, the process of obtaining the pressure stability data value includes:

[0032] The average of the pressure values ​​at all sampling moments within the monitoring time period corresponding to the minimum pressure stabilization loss is taken as the pressure stabilization data value.

[0033] In a second aspect, the present application provides a remote control system for an electric valve, the system comprising:

[0034] A data acquisition and preprocessing module is used to obtain the flow data curve and the torque value curve, pressure value curve and valve opening curve of the electric valve in each monitoring time period in the fuel pipeline;

[0035] A first determination module is configured to determine a corresponding voltage stabilization loss amount based on fluctuations in a pressure value curve during a current monitoring period and its correlation with a corresponding torque value curve; and to determine a corresponding voltage stabilization requirement based on the voltage stabilization loss amount during the current monitoring period and a standard pressure deviation distribution of the pressure value curve;

[0036] a second determination module for determining a corresponding opening adjustment resistance based on the overall numerical value of the valve opening curve during the current monitoring period and the variation correlation deviation between the corresponding torque value curve and the corresponding pressure value curve; and determining an initial torque adjustment coefficient for the current monitoring period based on the pressure stabilization demand, the opening adjustment resistance, and the fluctuation deviation between the valve opening curve and the pressure value curve during the historical monitoring period;

[0037] The electric valve remote control module is used to determine the coefficient adjustment weight based on the correlation change between the pressure value curve and the flow data curve in the current monitoring time period; adjust the initial torque adjustment coefficient according to the coefficient adjustment weight to determine the final torque adjustment coefficient; and remotely control the electric valve according to the final torque adjustment coefficient.

[0038] In a third aspect, the present application provides a computer device comprising a memory and a processor. The memory is configured to store computer program code, and the processor is configured to call and execute the computer program code from the memory to perform the method of the first aspect or any embodiment of the first aspect of the present application.

[0039] In a fourth aspect, the present application provides a computer program product, comprising a computer program code. When the computer program code is executed, the method of the first aspect or any embodiment of the first aspect of the present application is performed.

[0040] In a fifth aspect, the present application provides a computer-readable storage medium, which stores computer program code. When the computer program code is executed, it performs the method of the first aspect of the present application or any embodiment of the first aspect.

[0041] This application has the following beneficial effects:

[0042] The present application first determines the pressure stabilization loss amount that characterizes the unstable pipeline pressure based on the fluctuation of the pressure value and the correlation between it and the torque, and then determines the pressure stabilization demand required to maintain the pressure stabilization in combination with the standard pressure deviation distribution of the pressure value; further determines the opening adjustment obstacle amount that characterizes the difficulty of adjusting the valve opening according to the changing relationship between pressure and torque and the valve opening; further determines the initial torque adjustment coefficient by comprehensively considering the pressure stabilization demand amount, the opening adjustment obstacle amount and the control lag characteristics shown by historical data; and then corrects the initial torque adjustment coefficient by adjusting the coefficient weight that characterizes the pipeline fault anomaly, so that the final torque adjustment coefficient obtained is more accurate, thereby performing more precise electric valve remote control according to the final torque adjustment coefficient, thereby improving the accuracy and safety of the electric valve remote control. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 A flow chart of a remote control method for an electric valve provided by one embodiment of the present invention;

[0045] Figure 2 A structural diagram of a remote control system for an electric valve provided by one embodiment of the present invention;

[0046] Figure 3The present invention provides a schematic diagram of a computer device structure according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following is a detailed description of the remote control system and control method of an electric valve proposed in accordance with the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0048] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0049] The specific scheme of the remote control system and control method of an electric valve provided by the present invention is described in detail below with reference to the accompanying drawings.

[0050] This application embodiment provides a remote control method for an electric valve. Figure 1 , which shows a flow chart of a remote control method for an electric valve provided by one embodiment of the present invention, the method comprising:

[0051] Step S101: In the fuel pipeline, a flow data curve and a torque value curve, a pressure value curve, and a valve opening curve of the electric valve in each monitoring time period are obtained.

[0052] In a specific implementation of an embodiment of the present invention, a travel switch is installed on the electric valve in the fuel line to collect the valve opening of the electric valve at each sampling moment in real time; the torque value of the electric valve at each sampling moment is monitored by a torque sensor; a pressure sensor and a flow sensor are installed at a position adjacent to the electric valve in the fuel line, and the pressure sensor collects pressure value data, and the flow sensor collects flow data; the flow data at all sampling moments in each monitoring time period are arranged in time sequence and then curve fitting is performed to determine the flow data curve; the torque values ​​at all sampling moments in each monitoring time period are arranged in time sequence and then curve fitting is performed to determine the torque value curve; the pressure values ​​at all sampling moments in each monitoring time period are arranged in time sequence and then curve fitting is performed to determine the pressure value curve; the valve openings at all sampling moments in each monitoring time period are arranged in time sequence and then curve fitting is performed to determine the valve opening curve. It should be noted that the data collected in the embodiment of the present invention are all normalized data, and the value range of all corresponding curves ranges from 0 to 1, which will not be further described here.

[0053] In one specific implementation of an embodiment of the present invention, the sampling frequency is set to once per second, and the length of each monitoring period is set to 125 seconds. Starting from the current moment, a monitoring period is divided into 125-second intervals. The length of the monitoring period and the sampling frequency can be adjusted according to the specific implementation environment and are not further described here. It should be noted that in order to minimize the amount of computation, the number of monitoring periods in this embodiment of the present invention is set to 20, which can be adjusted according to the specific implementation environment.

[0054] Step S102: Determine the corresponding voltage stabilization missing amount based on the fluctuation change of the pressure value curve in the current monitoring time period and its correlation with the corresponding torque value curve; determine the corresponding voltage stabilization demand amount based on the voltage stabilization missing amount in the current monitoring time period and the standard pressure deviation distribution of the pressure value curve.

[0055] In the pipeline system, electric valves are used to isolate and cut off the pipeline, and to adjust the pressure in the pipeline by adjusting the opening of the electric valve, so as to keep the pressure of the transportation environment stable. In order to ensure that the system is in a relatively stable pressure environment in the fuel pipeline system, it is necessary to first analyze whether the pressure near the electric valve needs to be adjusted.

[0056] Preferably, in a specific implementation of the embodiment of the present invention, the process of obtaining the voltage stabilization loss amount includes:

[0057] During the current monitoring period, the average of the absolute values ​​of the tangent slope values ​​at all sampling moments on the pressure value curve is used as the corresponding average absolute slope value; the mean square error between the pressure value curve of the current monitoring period and the corresponding torque value curve is negatively correlated and mapped as the corresponding reference curve similarity; the product of the average absolute slope value and the reference curve similarity is normalized to determine the amount of voltage stabilization loss during the current monitoring period. It should be noted that mean square error is a technical term well known to those skilled in the art and will not be further defined or elaborated upon herein.

[0058] First, according to the properties of the mean square error, by negatively correlating the mean square error of the pressure value curve and the torque value curve in the current monitoring time period, the similarity of the reference curve obtained can characterize the change correlation characteristics of the pressure value curve and the torque value curve, and the average absolute slope value characterizes the change characteristics of the pressure value in the corresponding monitoring time period; therefore, when the pressure stabilization loss obtained by combining the average absolute slope value and the similarity of the reference curve is large, it means that the pipeline pressure in the current monitoring time period has a large fluctuation change, and the torque of the electric valve has also changed accordingly, making the pressure fluctuation abnormality more credible, and the credibility of the pressure instability in the corresponding pipeline is higher, and the more unstable the pressure is; further, it is necessary to analyze the impact of the instability and then remotely control the electric valve. It should be noted that the current monitoring time period is also the monitoring time period closest to the current moment.

[0059] In a specific implementation of an embodiment of the present invention, a method for negatively correlating the mean square error of the pressure value curve and the torque value curve of each monitoring time period includes: taking the inverse of the mean square error of the pressure value curve and the torque value curve of each monitoring time period as the power of an exponential function with a natural constant as the base, and the output result of the exponential function is the result after negative correlation mapping, that is, the reference curve similarity; other negative correlation mapping methods can be adopted according to the specific implementation environment, such as finding the inverse; in addition, a normalization method for normalizing the product between the average absolute slope value and the reference curve similarity includes: taking the product between the average absolute slope value and the reference curve similarity as the input of a hyperbolic tangent function, and the output result is the normalized value, that is, the voltage stabilization demand for each monitoring time period. It should be noted that, unless otherwise specified, the normalization method in the embodiment of the present invention adopts the above-mentioned normalization method, that is, the value mapped by the hyperbolic tangent function is used as the normalized value, and the subsequent limitation on normalization will not be further elaborated.

[0060] When there is a lack of pressure stabilization in the fuel pipeline behind the electric valve, it indicates that the pressure stabilization environment in the pipeline has been destroyed. Therefore, it is necessary to adjust the opening of the electric valve to change the fuel flow through the valve and stabilize the pressure in the pipeline. In order to regulate the electric valve, it is first necessary to analyze and obtain the pressure stabilization demand that needs to be adjusted based on the pressure changes in the pipeline system.

[0061] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the voltage stabilization demand includes:

[0062] The pressure stability data value is determined based on the pressure stabilization loss amount and pressure value distribution in each monitoring time period; wherein, the process of obtaining the pressure stability data value includes: the smaller the pressure stabilization loss amount, the more stable the pressure, and the more it can characterize the pressure numerical characteristics under the pressure stability condition, so the average of the pressure values ​​at all sampling moments in the monitoring time period corresponding to the minimum pressure stabilization loss amount is used as the pressure stability data value.

[0063] During the current monitoring period, the difference between the current pressure value and the pressure stability data value is used as the corresponding stable pressure difference. The product of the stable pressure difference and the pressure stabilization loss is normalized to determine the pressure stabilization demand for the current monitoring period. The larger the stable pressure difference, the greater the space for the pressure to return to a stable state during the corresponding monitoring period, and the greater the corresponding pressure demand required for pressure stabilization. Therefore, the stable pressure difference and the pressure stabilization demand are positively correlated. In addition, the larger the pressure stabilization loss, the more unstable the overall pressure during the current monitoring period, indicating that the amount of control required to maintain pressure stability in the pipeline is greater, that is, the greater the pressure demand required for pressure stabilization.

[0064] Step S103: Determine the corresponding opening adjustment resistance according to the overall numerical value of the valve opening curve in the current monitoring time period and the change correlation deviation between the corresponding torque value curve and the corresponding pressure value curve; determine the initial torque adjustment coefficient of the current monitoring time period according to the pressure stabilization demand, the opening adjustment resistance and the fluctuation deviation between the valve opening curve and the pressure value curve in the historical monitoring time period.

[0065] The pressure stabilization demand reflects in real time the amount of adjustment required to maintain the pressure in the fuel pipeline; the electric valve adjusts the motor torque through the adjustment amount, and then adjusts the valve opening to achieve the purpose of regulating pressure; when controlling the electric valve, the torque of the motor in the electric valve is regulated; when pressure changes require adjustment, it is necessary to adjust the motor torque according to the pressure change to adjust the valve opening in the electric valve, and adjust the flow rate in the pipeline through the valve opening to regulate the pressure. Because the pressure of the liquid is applied to the electric valve when the electric valve is performing torque regulation, the electric valve always has pressure, resulting in deviations in the adjustment of the electric valve. Therefore, it is necessary to analyze the pressure changes on the electric valve during the current monitoring period, so as to analyze the amount of obstacles to the electric valve opening adjustment during the current monitoring period.

[0066] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the opening adjustment resistance includes:

[0067] The overall opening value is determined based on the average of the valve openings at all sampling moments on the valve opening curve in the current monitoring time period; in the current monitoring time period, the difference between the tangent slope of the torque value curve and the tangent slope of the pressure value curve at each sampling moment is used as the reference change difference at each sampling moment; the average of the reference change differences at all sampling moments is used as the degree of control difficulty.

[0068] First, the smaller the electric valve opening, the more significant the pressure change caused by adjusting the opening. Therefore, the smaller the overall opening value, the greater the pressure change caused by adjusting the opening during the current monitoring period. Furthermore, the greater the degree of control difficulty, the greater the torque change caused by changes in pressure during the current monitoring period. Valve opening adjustment depends on changes in motor torque. Therefore, the smaller the overall opening value and the greater the degree of control difficulty, the greater the torque change required to adjust the valve opening, making it more difficult to control the opening of the electric valve body and increasing the amount of opening control resistance. Therefore, the amount of opening control resistance is further determined by combining the overall opening value and the degree of control difficulty.

[0069] In one specific implementation of an embodiment of the present invention, the product of the negative correlation mapping value of the overall opening value and the degree of control difficulty is normalized based on the correlation relationship to determine the opening adjustment resistance during the current monitoring period. In one specific implementation of an embodiment of the present invention, the method for performing negative correlation mapping on the overall opening value includes: raising the inverse of the overall opening value to the power of an exponential function with a natural constant as the base, where the output of the exponential function is the value after negative correlation mapping. Those skilled in the art may use other basic mathematical methods to implement this method, which is not limited or elaborated herein.

[0070] The greater the opening adjustment resistance, the more susceptible the electric valve is to the fuel in the pipeline during remote control in the current monitoring time period, resulting in a greater torque required for control; the electric valve can be further remotely controlled based on the opening adjustment resistance; however, since the electric valve is under remote control, when the fuel pressure in the pipeline changes, the electric valve may not be able to monitor the pressure change in time and make corresponding adjustments, and when the electric valve regulates the fuel pressure in the pipeline, due to the lag of the pressure change, over-regulation may occur. Therefore, it is necessary to determine whether there has been an accumulation of control errors in the historical process to further determine the degree of torque adjustment.

[0071] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the initial torque adjustment coefficient includes:

[0072] The degree of opening pressure deviation in the current monitoring time period is determined based on the mean square error between the valve opening curve and the pressure value curve in the monitoring time period before the current monitoring time period; the valve control following amount in the current monitoring time period is determined based on the difference between the variance of the pressure value curve in the monitoring time period before the current monitoring time period and the variance of the valve opening curve.

[0073] According to the data discreteness represented by the variance, the larger the valve control following amount, the less the frequency of change of the electric valve is compared with the frequency of change of the pressure; according to the calculation process of the opening pressure deviation degree, the lower the correlation between the change of the valve opening curve and the pressure value curve, that is, the larger the corresponding mean square error, the slower the change of the valve opening is when the pressure in the pipeline changes greatly; therefore, the larger the opening pressure deviation degree and the larger the valve control following amount, the more significant the hysteresis feature of the change of the valve opening relative to the pressure change in the historical data, the more accumulated the valve adjustment hysteresis, and the required torque The larger the adjustment amount; on this basis, the greater the pressure stabilization demand, the greater the control required to maintain the pressure stabilization, that is, the greater the torque adjustment demand; the greater the degree of opening adjustment resistance, the greater the torque required for control. Therefore, combined with the correlation, in a specific implementation method of an embodiment of the present invention, the product of the valve control follow-up amount, the opening pressure deviation degree, the pressure stabilization demand and the opening adjustment resistance in the current monitoring time period is normalized to determine the initial torque adjustment coefficient of the current monitoring time period. The implementer can adjust the mathematical implementation method according to the specific implementation environment, which will not be further elaborated here.

[0074] Step S104: Determine the coefficient adjustment weight according to the correlation change between the pressure value curve and the flow data curve in the current monitoring time period; adjust the initial torque adjustment coefficient according to the coefficient adjustment weight to determine the final torque adjustment coefficient; and remotely control the electric valve according to the final torque adjustment coefficient.

[0075] Under normal circumstances, when the pressure in the electric valve fluctuates, in order to maintain the stable pressure in the pipeline, the pressure in the pipeline system can be adjusted by adjusting the opening of the valve; however, when there is slight sedimentation or blockage in the pipeline, it may affect the pressure change in the pipeline, resulting in excessive regulation. Therefore, it is necessary to analyze the abnormal situation in the pipeline to correct the torque adjustment process.

[0076] When the pipeline is in normal use, an increase in flow in the pipeline system will cause the pressure behind the electric valve to rise, while a decrease in flow in the pipeline system will cause the pressure behind the electric valve to drop. When the pipeline is blocked, the pressure will rise but the flow will decrease due to the obstructed flow in the pipeline. In addition, when the pipeline leaks, the flow in the pipeline will increase but the pressure behind the pipeline will drop. Therefore, the greater the change in the correlation between pressure data and flow data, the greater the possibility of pipeline abnormality. Based on this characteristic, the change in the correlation between pressure data and flow data is further analyzed, and the initial torque adjustment coefficient is corrected according to the coefficient adjustment weight that represents the possibility of pipeline abnormality.

[0077] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the coefficient adjustment weight includes:

[0078] The current monitoring time period is divided into at least two sub-time periods with the time points corresponding to the inflection points on the flow data curve of the current monitoring time period as intervals; a flow data sub-curve on the flow data curve of the current monitoring time period and a pressure value sub-curve on the pressure value curve of the current monitoring time period are obtained for each sub-time period; the mean of the flow data at all sampling moments on the flow data sub-curve is used as the reference flow mean; the ratio between the flow data and the pressure value at each sampling moment is used as the corresponding flow-pressure ratio; the flow-pressure ratio at all sampling moments in each sub-time period is used as the corresponding reference ratio.

[0079] The inflection point can represent the point where the flow trend changes. Therefore, dividing the sub-time period with the inflection point as the interval can make each sub-time period represent the same flow change trend. Therefore, for each sub-time period, the calculated reference ratio represents the correlation between the flow data and the pressure value under the corresponding flow change trend. Under normal circumstances, the correlation between the flow data and the pressure data usually remains stable and highly correlated. When an abnormality occurs in the pipeline, the correlation will change. Therefore, the reference ratio of each sub-time period is further analyzed.

[0080] The negative correlation mapping value of the mean square error between the flow data sub-curve and the corresponding pressure value sub-curve corresponding to each sub-time period is used as the corresponding reference sub-similarity; the sub-time period with the largest reference sub-similarity is used as the reference time period; the reference ratio deviation is determined based on the difference between the mean of the reference ratios of all sub-time periods other than the reference time period and the reference ratio of the reference time period; and the reference change instability is determined based on the variance of the reference ratios corresponding to all sub-time periods. In a specific implementation of an embodiment of the present invention, a method for negatively correlating the mean square error between the flow data sub-curve and the corresponding pressure value sub-curve corresponding to each sub-time period is adopted: the inverse of the mean square error between the flow data sub-curve and the corresponding pressure value sub-curve corresponding to each sub-time period is used as the power of an exponential function with a natural constant as the base, and the output of the exponential function is the result after the negative correlation mapping, i.e., the reference sub-similarity.

[0081] Because flow and pressure data are highly correlated under normal circumstances, we selected the reference time period with the highest reference self-similarity as the sub-time period representing the normal flow and pressure data change trend. Using the reference ratio corresponding to the reference time period as a benchmark, we analyzed the instability of the flow-pressure correlations corresponding to the reference ratios of other sub-time periods. First, regarding the relative change in the reference ratios, the greater the deviation between the reference ratios of each sub-time period and the reference ratio of the reference time period, the more the overall correlation between the flow and pressure data in the current monitoring period deviates from normal. Therefore, the more likely the flow-pressure correlation in the current monitoring period is to be disrupted or abnormal, indicating a higher probability of pipeline abnormality. Furthermore, regarding the overall change in the reference ratios, the greater the variance of the reference ratios across all sub-time periods, the more pronounced the fluctuation in the flow-pressure correlation in the current monitoring period. This indicates a higher probability of disruption or abnormality in the flow-pressure correlation in the current monitoring period, indicating a higher probability of pipeline abnormality. Therefore, the greater the deviation in the reference ratios and the greater the instability of the reference change, the more likely the pipeline is to experience pressure loss and cause an abnormality.

[0082] The higher the possibility of pipeline abnormality, the greater the impact of pipeline abnormality on the change in downforce at the current moment. Therefore, when adjusting the torque, the corresponding adjustment degree should be adaptively reduced, and the corresponding coefficient adjustment weight should be smaller. Therefore, further based on the correlation, the product of the reference change instability and the reference ratio deviation is negatively correlated and mapped to determine the coefficient adjustment weight for the current monitoring time period. In a specific implementation of an embodiment of the present invention, the method of negatively correlating the product of the reference change instability and the reference ratio deviation includes: calculating a normalized value of the product of the reference change instability and the reference ratio deviation, and subtracting the normalized value from the real number 1 to obtain a negative correlation mapping result, i.e., the coefficient adjustment weight for the current monitoring time period.

[0083] The initial torque adjustment coefficient is further modified based on the coefficient adjustment weight. Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the final torque adjustment coefficient includes: determining the final torque adjustment coefficient based on the product of the coefficient adjustment weight and the initial torque adjustment coefficient, such that the larger the final torque adjustment coefficient, the greater the degree of adjustment to the torque at the current moment.

[0084] Finally, the electric valve is remotely controlled based on the final torque adjustment coefficient, and the valve opening is indirectly adjusted by adjusting the torque to achieve the purpose of regulating pressure. Preferably, in some possible implementations of the embodiments of the present invention, the process of remotely controlling the electric valve based on the final torque adjustment coefficient includes: taking the average of the torque values ​​of the electric valve at all sampling moments in the current monitoring time period as the current torque value; determining the control torque value based on the product of the positive correlation mapping value of the final torque adjustment coefficient and the current torque value; and remotely controlling the electric valve in real time based on the control torque value.

[0085] In a specific implementation of an embodiment of the present invention, a method for performing positive correlation mapping on the final torque adjustment coefficient is adopted: twice the final torque adjustment coefficient is used as the corresponding positive correlation mapping result, so that the value range of the final torque adjustment coefficient is limited to 0-2, thereby making more accurate adjustments to the torque size; finally, the torque of the electric valve is adjusted to the control torque value, and the opening of the electric valve will change accordingly, thereby indirectly adjusting the valve opening, making the remote control of the electric valve more precise, and improving the accuracy and safety of the remote control of the electric valve.

[0086] In summary, a remote control method for an electric valve first determines the pressure stabilization loss amount that characterizes the instability of pipeline pressure based on the fluctuation of pressure value and the correlation between it and torque, and then determines the pressure stabilization demand required to maintain pressure stabilization in combination with the standard pressure deviation distribution of pressure value; further, according to the changing relationship between pressure and torque and the valve opening, the opening adjustment obstacle amount that characterizes the difficulty of adjusting the valve opening is determined; further, the initial torque adjustment coefficient is determined by comprehensively considering the pressure stabilization demand amount, the opening adjustment obstacle amount and the control lag characteristics shown by historical data; and then the initial torque adjustment coefficient is corrected by the coefficient adjustment weight that characterizes the pipeline fault anomaly, so that the final torque adjustment coefficient is more accurate, thereby performing more precise remote control of the electric valve according to the final torque adjustment coefficient, thereby improving the accuracy and safety of the remote control of the electric valve.

[0087] This application also provides a remote control system for electric valves, please refer to Figure 2 , which shows a structural diagram of a remote control system for an electric valve provided by an embodiment of the present invention, the system includes: a data acquisition and preprocessing module 201, a first determination module 202, a second determination module 203 and an electric valve remote control module 204.

[0088] The data acquisition and preprocessing module 201 is used to obtain the flow data curve and the torque value curve, pressure value curve and valve opening curve of the electric valve in each monitoring time period in the fuel pipeline;

[0089] The first determination module 202 is configured to determine a corresponding voltage stabilization loss amount based on fluctuations in the pressure value curve during the current monitoring period and its correlation with the corresponding torque value curve; and to determine a corresponding voltage stabilization requirement based on the voltage stabilization loss amount during the current monitoring period and the standard pressure deviation distribution of the pressure value curve;

[0090] The second determination module 203 is configured to determine the corresponding valve opening adjustment resistance based on the overall value of the valve opening curve during the current monitoring period and the variation correlation deviation between the corresponding torque value curve and the corresponding pressure value curve; and to determine the initial torque adjustment coefficient for the current monitoring period based on the pressure stabilization demand, the valve opening adjustment resistance, and the fluctuation deviation between the valve opening curve and the pressure value curve during the historical monitoring period;

[0091] The electric valve remote control module 204 is used to determine the coefficient adjustment weight based on the correlation change between the pressure value curve and the flow data curve in the current monitoring time period; adjust the initial torque adjustment coefficient according to the coefficient adjustment weight to determine the final torque adjustment coefficient; and remotely control the electric valve according to the final torque adjustment coefficient.

[0092] It should be noted that the system provided in the above embodiment is merely an example of the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above. In addition, the remote control system for an electric valve and the remote control method for an electric valve provided in the above embodiment are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0093] The present application also provides a computer device. Figure 3 , which shows a schematic diagram of the structure of a computer device provided by an embodiment of the present invention, the computer device includes a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302, wherein when the processor 302 executes the computer program 303, the computer device can execute any one of the remote control methods for electric valves introduced above.

[0094] An embodiment of the present application further provides a computer program product. When the computer program product is run on a computer device, the computer device can execute any one of the aforementioned methods for remotely controlling an electric valve.

[0095] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is run on a computer device, the computer device can execute any one of the aforementioned methods for remotely controlling an electric valve.

[0096] In the embodiments provided in the present application, it should be understood that the provided computer devices, computer program products and computer-readable storage media are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the methods provided above and will not be repeated here.

[0097] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A remote control method for an electric valve, characterized in that: The method comprises: In the fuel line, a flow data curve and a torque value curve, a pressure value curve, and a valve opening curve of the electric valve are obtained in each monitoring time period; Determine the corresponding voltage stabilization loss based on the fluctuation of the pressure value curve in the current monitoring period and its correlation with the corresponding torque value curve; determine the corresponding voltage stabilization requirement based on the voltage stabilization loss in the current monitoring period and the standard pressure deviation distribution of the pressure value curve; Determine the corresponding opening adjustment resistance based on the overall numerical value of the valve opening curve during the current monitoring period and the change correlation deviation between the corresponding torque value curve and the corresponding pressure value curve; determine the initial torque adjustment coefficient for the current monitoring period based on the pressure stabilization demand, the opening adjustment resistance, and the fluctuation deviation between the valve opening curve and the pressure value curve during the historical monitoring period; The coefficient adjustment weight is determined based on the correlation change between the pressure value curve and the flow data curve in the current monitoring time period; the initial torque adjustment coefficient is adjusted according to the coefficient adjustment weight to determine the final torque adjustment coefficient; and the electric valve is remotely controlled based on the final torque adjustment coefficient.

2. A remote control method for an electric valve according to claim 1, characterized in that: The process of obtaining the voltage stabilization loss includes: In the current monitoring time period, the average of the absolute values ​​of the tangent slope values ​​at all sampling moments on the pressure value curve is taken as the corresponding average absolute slope value; the mean square error between the pressure value curve of the current monitoring time period and the corresponding torque value curve is negatively correlated and mapped as the corresponding reference curve similarity; the product between the average absolute slope value and the reference curve similarity is normalized to determine the voltage stabilization loss amount of the current monitoring time period.

3. The remote control method of an electric valve according to claim 2, characterized in that: The process of obtaining the voltage stabilization demand includes: Determine the pressure stability data value based on the pressure loss amount and pressure value distribution in each monitoring time period; In the current monitoring time period, the difference between the current pressure value and the pressure stability data value is used as the corresponding stable pressure difference; the product between the stable pressure difference and the stable pressure loss amount is normalized to determine the stable pressure demand in the current monitoring time period.

4. The remote control method of an electric valve according to claim 1, characterized in that: The process of obtaining the opening adjustment resistance includes: Determine the overall opening value based on the average valve opening at all sampling moments on the valve opening curve during the current monitoring period; In the current monitoring period, the difference between the tangent slope of the torque value curve and the tangent slope of the pressure value curve at each sampling moment is used as the reference change difference at each sampling moment; the average of the reference change differences at all sampling moments is used as the control difficulty level; The product of the negative correlation mapping value of the overall opening value and the control difficulty level is normalized to determine the opening adjustment obstacle amount in the current monitoring time period.

5. The remote control method of an electric valve according to claim 1, characterized in that: The process of obtaining the initial torque adjustment coefficient includes: Determine the degree of opening pressure deviation in the current monitoring period based on the mean square error between the valve opening curve and the pressure value curve in the previous monitoring period; Determine the valve control follow amount for the current monitoring time period according to the difference between the variance of the pressure value curve in the previous monitoring time period and the variance of the valve opening curve; The product of the valve control follow-up amount, the opening pressure deviation degree, the pressure stabilization demand and the opening adjustment resistance amount in the current monitoring time period is normalized to determine the initial torque adjustment coefficient of the current monitoring time period.

6. The remote control method of an electric valve according to claim 1, characterized in that: The process of obtaining the coefficient adjustment weight includes: The current monitoring time period is divided into at least two sub-time periods, with the time points corresponding to the inflection points on the flow data curve of the current monitoring time period as intervals; a flow data sub-curve on the flow data curve of the current monitoring time period and a pressure value sub-curve on the pressure value curve of the current monitoring time period are obtained for each sub-time period; the mean of the flow data at all sampling moments on the flow data sub-curve is used as the reference flow mean; the ratio between the flow data and the pressure value at each sampling moment is used as the corresponding flow-pressure ratio; the flow-pressure ratio at all sampling moments in each sub-time period is used as the corresponding reference ratio; The negative correlation mapping value of the mean square error between the flow data sub-curve and the corresponding pressure value sub-curve corresponding to each sub-time period is used as the corresponding reference sub-similarity; the sub-time period with the largest reference sub-similarity is used as the reference time period; the reference ratio deviation is determined based on the difference between the mean of the reference ratios of all sub-time periods other than the reference time period and the reference ratio of the reference time period; the reference change instability is determined based on the variance of the reference ratios corresponding to all sub-time periods; A negative correlation mapping is performed on the product of the reference change instability and the reference ratio deviation to determine the coefficient adjustment weight of the current monitoring time period.

7. The remote control method of an electric valve according to claim 1, characterized in that: The process of obtaining the final torque adjustment coefficient includes: A final torque adjustment coefficient is determined according to a product of the coefficient adjustment weight and the initial torque adjustment coefficient.

8. The remote control method of an electric valve according to claim 1, characterized in that: The process of remotely controlling the electric valve according to the final torque adjustment coefficient includes: The average of the torque values ​​of the electric valve at all sampling moments in the current monitoring time period is used as the current torque value; the control torque value is determined based on the product between the positive correlation mapping value of the final torque adjustment coefficient and the current torque value; and the electric valve is remotely controlled in real time based on the control torque value.

9. The remote control method of an electric valve according to claim 3, characterized in that: The process of obtaining the pressure stability data value includes: The average of the pressure values ​​at all sampling moments within the monitoring time period corresponding to the minimum pressure stabilization loss is taken as the pressure stabilization data value.

10. A remote control system for an electric valve, characterized in that: The system comprises: A data acquisition and preprocessing module is used to obtain the flow data curve and the torque value curve, pressure value curve and valve opening curve of the electric valve in each monitoring time period in the fuel pipeline; A first determination module is configured to determine a corresponding voltage stabilization loss amount based on fluctuations in a pressure value curve during a current monitoring period and its correlation with a corresponding torque value curve; and to determine a corresponding voltage stabilization requirement based on the voltage stabilization loss amount during the current monitoring period and a standard pressure deviation distribution of the pressure value curve; a second determination module for determining a corresponding opening adjustment resistance based on the overall numerical value of the valve opening curve during the current monitoring period and the variation correlation deviation between the corresponding torque value curve and the corresponding pressure value curve; and determining an initial torque adjustment coefficient for the current monitoring period based on the pressure stabilization demand, the opening adjustment resistance, and the fluctuation deviation between the valve opening curve and the pressure value curve during the historical monitoring period; The electric valve remote control module is used to determine the coefficient adjustment weight based on the correlation change between the pressure value curve and the flow data curve in the current monitoring time period; adjust the initial torque adjustment coefficient according to the coefficient adjustment weight to determine the final torque adjustment coefficient; and remotely control the electric valve according to the final torque adjustment coefficient.

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