Intelligent control method, system, equipment and medium of hydraulic reversing valve

Abstract

The present invention discloses an intelligent control method, system, equipment and medium for a hydraulic reversing valve, which belongs to the field of intelligent control, wherein the method includes: collecting reversing test data for reversing movement test; collecting mainstream oil impurity information records, and collecting reversing use data; predicting the reversing movement of the valve core to obtain predicted fluency and predicted sealing; analyzing the reversing movement of the valve core to obtain analysis fluency and analysis sealing, and calculating the use fluency and use sealing; obtaining the current reversing instruction, optimizing the reversing control of the valve core of the hydraulic reversing valve, obtaining the optimal reversing control parameters, and performing reversing control according to the reversing instruction. By collecting reversing test data and mainstream oil impurity information, predicting and analyzing the reversing movement of the valve core, and optimizing the control of the hydraulic reversing valve in combination with the reversing instruction, the reversing speed is improved while ensuring the smooth movement of the valve core, and the technical effect of effectively reducing the amount of internal leakage is achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control, and in particular to an intelligent control method, system, equipment and medium for a hydraulic reversing valve. Background Art

[0002] The hydraulic reversing valve changes the direction of the hydraulic oil flow by moving the valve core in the valve body, thereby controlling the movement of the hydraulic actuator. In the prior art, in order to improve the response speed and control accuracy of the hydraulic system, a method of increasing the reversing speed of the reversing valve is adopted. However, during the long-term use of the hydraulic reversing valve, foreign particles in the mainstream oil may enter the fitting gap between the valve core and the valve wall, resulting in poor movement of the valve core and increased reversing resistance. In order to overcome this problem, the prior art uses a method of increasing the pressure to control the movement of the valve core to increase the reversing speed. However, while increasing the reversing speed, it will also cause the sealing performance between the valve core and the valve wall to decrease, causing a significant increase in internal leakage. Summary of the invention

[0003] The present application provides an intelligent control method, system, equipment and medium for a hydraulic reversing valve, aiming to solve the technical problem in the prior art that during long-term use of the hydraulic reversing valve, impurities in the mainstream oil enter the fitting gap between the valve core and the valve wall, resulting in poor movement of the valve core, which is prone to cause a significant increase in internal leakage when the reversing speed is increased.

[0004] In view of the above problems, the present application provides an intelligent control method, system, device and medium for a hydraulic reversing valve.

[0005] In a first aspect, the present application provides an intelligent control method for a hydraulic reversing valve, the method comprising: collecting reversing test data of a reversing movement test performed when the hydraulic reversing valve is installed, wherein the reversing test data includes the initial smoothness and initial sealing of the valve core during reversing movement; during the use of the hydraulic reversing valve, collecting mainstream oil impurity information records, and collecting reversing usage data for reversing use within a recent preset time range; predicting the reversing movement of the valve core based on the mainstream oil impurity information records and the reversing test data, and obtaining predicted smoothness and predicted sealing; analyzing the reversing movement of the valve core based on the reversing usage data, obtaining analysis smoothness and analysis sealing, and calculating the use smoothness and use sealing based on the predicted smoothness and predicted sealing; obtaining the current reversing instruction, optimizing the valve core reversing control of the hydraulic reversing valve based on the use smoothness and use sealing, obtaining optimal reversing control parameters, and performing reversing control according to the reversing instruction, wherein the optimization is performed with reducing the internal leakage amplitude and increasing the reversing speed as the optimization direction.

[0006] In a second aspect, the present application provides an intelligent control system for a hydraulic reversing valve, the system comprising: a test data acquisition module for collecting reversing test data for a reversing movement test during installation of the hydraulic reversing valve, wherein the reversing test data includes the initial smoothness and initial sealing degree of the valve core during reversing movement; an operation data acquisition module for collecting mainstream oil impurity information records during the use of the hydraulic reversing valve, and collecting reversing usage data for reversing use within a recent preset time range; a valve core state prediction module for performing valve core reversing according to the mainstream oil impurity information records and the reversing test data. Movement prediction, to obtain predicted smoothness and predicted sealing; a valve core performance analysis module, for performing valve core reversing movement analysis according to the reversing usage data, to obtain analysis smoothness and analysis sealing, and to calculate and obtain usage smoothness and usage sealing in combination with the predicted smoothness and predicted sealing; a control optimization execution module, for obtaining the current reversing instruction, for optimizing the valve core reversing control of the hydraulic reversing valve according to the usage smoothness and usage sealing, to obtain the optimal reversing control parameters, and for performing reversing control according to the reversing instruction, wherein the optimization is performed with the reduction of internal leakage amplitude and the increase of reversing speed as the optimization direction.

[0007] In a third aspect, the present application provides an electronic device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is used to execute the intelligent control method of the hydraulic reversing valve provided in the present application.

[0008] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, and the computer program is used to execute the intelligent control method of the hydraulic reversing valve provided in the present application.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The reversing test data collected during the reversing movement test of the hydraulic reversing valve installation, including the initial smoothness and initial sealing of the valve core during the reversing movement, is used to obtain the smoothness of the valve core movement and the sealing performance data through the reversing movement test, providing a benchmark for the subsequent valve core state prediction and control optimization; during the use of the hydraulic reversing valve, the mainstream oil impurity information record is collected, and the reversing use data for the recent reversing use within the preset time range is collected. By continuously collecting the mainstream oil impurity information and reversing use data, the hydraulic reversing can be mastered in real time. The working state and environmental factors of the valve provide data for the prediction of the valve core state; according to the mainstream oil impurity information record and the reversing test data, the valve core reversing movement is predicted to obtain the predicted smoothness and predicted sealing. By using the mainstream oil impurity information and the initial reversing test data, the valve core reversing movement is predicted to predict the current valve core movement smoothness and sealing performance, providing a basis for control optimization; according to the reversing usage data, the valve core reversing movement is analyzed to obtain the analysis smoothness and analysis sealing. Combined with the predicted smoothness and predicted sealing, the use smoothness and use sealing are calculated. Analyze recent reversing usage data, evaluate the actual movement smoothness and sealing performance of the valve core, and combine them with the prediction results to obtain a more accurate and comprehensive evaluation of the valve core status; obtain the current reversing command, optimize the valve core reversing control of the hydraulic reversing valve according to the usage smoothness and usage sealing, obtain the optimal reversing control parameters, and perform reversing control according to the reversing command. Among them, the optimization direction is to reduce the internal leakage amplitude and increase the reversing speed. According to the valve core status evaluation results and the current reversing command, the control parameters of the hydraulic reversing valve are optimized, while the reversing speed is increased. The technical solution of minimizing internal leakage and realizing intelligent control of hydraulic reversing valve solves the technical problem in the prior art that the hydraulic reversing valve, during long-term use, the main oil impurities enter the fitting gap between the valve core and the valve wall, resulting in poor movement of the valve core, which is prone to a substantial increase in internal leakage when the reversing speed is increased. By collecting reversing test data and main oil impurity information, the reversing movement of the valve core is predicted and analyzed, and the hydraulic reversing valve is optimized and controlled in combination with the reversing command, the reversing speed is improved while ensuring smooth movement of the valve core, and the technical effect of effectively reducing the internal leakage is achieved.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic flow chart of an intelligent control method for a hydraulic reversing valve provided in the present application;

[0013] Figure 2 A structural schematic diagram of an intelligent control system of a hydraulic reversing valve provided in this application;

[0014] Figure 3 A schematic diagram of the structure of an electronic device provided in this application.

[0015] Explanation of the reference numerals: test data acquisition module 11 , operation data acquisition module 12 , valve core state prediction module 13 , valve core performance analysis module 14 , control optimization execution module 15 , processor 21 , memory 22 , input device 23 , output device 24 . DETAILED DESCRIPTION

[0016] The overall idea of ​​the technical solution provided by this application is as follows:

[0017] The embodiments of the present application provide an intelligent control method, system, device and medium for a hydraulic reversing valve. By collecting the initial state data, real-time working data and environmental data of the reversing valve, the valve core state is predicted and analyzed, and the reversing control parameters are optimized accordingly, so as to achieve the purpose of effectively reducing the internal leakage while improving the reversing speed.

[0018] First, a reversing movement test is performed when the hydraulic reversing valve is installed to obtain the initial smoothness and sealing data of the valve core. Then, during the use of the reversing valve, the mainstream oil impurity information and reversing usage data are continuously collected, and the valve core state is predicted and analyzed in combination with the initial data to obtain a comprehensive valve core state evaluation. Afterwards, based on the valve core state evaluation and the current reversing instruction, the reversing control parameters are optimized to minimize the internal leakage while increasing the reversing speed. Through an intelligent control method, the present application can dynamically adapt to changes in the state of the hydraulic reversing valve core, extend the service life of the reversing valve, and improve the overall efficiency of the hydraulic system.

[0019] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0020] Embodiment 1, as Figure 1 As shown, an embodiment of the present application provides an intelligent control method for a hydraulic reversing valve, the method comprising:

[0021] S1: Collecting the switching test data of the switching movement test during the installation of the hydraulic switching valve, wherein the switching test data includes the initial smoothness and initial sealing degree of the valve core during the switching movement.

[0022] Specifically, the performance parameters of the hydraulic reversing valve in the initial state are first obtained as a benchmark for subsequent optimization control. To this end, the data of the reversing movement test of the hydraulic reversing valve during the installation and commissioning phase is collected as the reversing test data. The reversing test data reflects the reversing performance of the valve core when it is first used, including two key indicators, namely initial smoothness and initial sealing. Among them, the initial smoothness indicates the smoothness of the movement of the valve core during the reversing process, which is obtained by testing the average movement speed of the valve core; the initial sealing indicates the sealing performance between the valve core and the valve wall, which is obtained by testing the internal leakage amplitude during reversing. Among them, the internal leakage amplitude is required to be zero in the initial state.

[0023] To obtain the switching test data, after the hydraulic reversing valve is installed, it is tested according to the preset control parameters (such as valve core switching pressure), and the average movement speed and internal leakage amplitude of the valve core during switching are measured and recorded. Then, the initial smoothness and initial sealing are graded according to the preset evaluation criteria (such as speed threshold, leakage threshold, etc.), such as excellent, good, medium, and poor.

[0024] By obtaining key data reflecting the initial switching performance of the hydraulic reversing valve, a benchmark and basis are provided for subsequent valve core state prediction, usage state analysis and optimized control.

[0025] S2: During the use of the hydraulic reversing valve, the main oil impurity information record is collected, and the reversing use data performed within the most recent preset time range is collected.

[0026] Specifically, after obtaining the initial smoothness and initial sealing of the valve core during its reversing movement, relevant data continue to be collected during the actual use of the reversing valve in order to grasp the real-time status of the valve core.

[0027] Mainstream oil refers to the working oil used to hydraulically control the external actuator through the hydraulic reversing valve. During the use of the reversing valve, some impurities such as metal chips and rubber chips will be mixed into the mainstream oil. These impurities may enter the gap between the valve core and the valve wall, and accumulate to affect the movement and sealing performance of the valve core. Therefore, a special sensor is used to monitor the impurity composition and content in the mainstream oil in real time to form a record of mainstream oil impurity information, including parameters such as the type, size distribution, and total content of impurity particles. Secondly, in order to fully understand the use status of the valve core, the actual working parameters of the valve core during reversal within the most recent preset time range are collected as reversal use data. Specifically, within the most recent preset time range (such as the most recent 100 reversals, the most recent 1 hour, etc.), the actual reversing control parameters (such as control current, valve core pressure, etc.), valve core movement speed, and internal leakage amplitude of the hydraulic reversing valve are recorded to form reversal use data.

[0028] By collecting mainstream oil impurity information records and switching usage data, the working conditions and performance status of the valve core can be mastered in real time, providing data support for subsequent valve core status prediction, switching performance analysis and optimized control, ensuring the timeliness and pertinence of control decisions, and improving the intelligence level of the reversing valve.

[0029] S3: According to the mainstream oil impurity information record and the reversing test data, the reversing movement of the valve core is predicted to obtain the predicted smoothness and the predicted sealing degree.

[0030] Specifically, after obtaining the initial state data and usage process data of the hydraulic reversing valve, the valve core switching performance is predicted to estimate the movement smoothness and sealing of the valve core during the next reversal based on the current operating conditions and historical data, providing a reference for optimizing control.

[0031] The prediction of valve core reversing movement is based on the mainstream oil impurity information record and reversing test data. Among them, the mainstream oil impurity information reflects the current working conditions of the valve core. The higher the impurity content, the greater the impact on the movement and sealing performance of the valve core; the reversing test data reflects the initial performance level of the valve core and is the benchmark for evaluating the performance change of the valve core. For example, by using machine learning methods, a large number of historical data of the same type of hydraulic reversing valves are trained to establish a mapping relationship between input data (mainstream oil impurity information and reversing test data) and output data (smoothness and sealing), forming a valve core reversing movement predictor. When predicting the reversing movement of the valve core, the mainstream oil impurity information record and reversing test data are input into the trained valve core reversing movement predictor, and the valve core reversing movement predictor estimates the predicted smoothness and predicted sealing of the valve core at the next reversal, providing a reference for subsequent performance analysis and optimization control.

[0032] S4: Analyze the valve core reversing movement according to the reversing usage data to obtain the analysis smoothness and analysis tightness, and calculate the usage smoothness and usage tightness by combining the predicted smoothness and predicted tightness.

[0033] Specifically, after obtaining the predicted smoothness and predicted sealing, the actual usage status of the valve core is further analyzed to more comprehensively evaluate the current performance of the valve core.

[0034] The valve core reversing movement analysis is based on the collected reversing usage data. The reversing usage data records the control parameters, movement speed, internal leakage amplitude and other information of the valve core in the actual reversing process over a period of time, reflecting the dynamic performance of the valve core under actual working conditions. Similar to the prediction method, the valve core reversing movement analysis can also use machine learning methods. By analyzing the historical usage data of a large number of hydraulic reversing valves of the same model, a correlation model between the reversing usage data and the actual smoothness and sealing of the valve core is established to form a valve core reversing movement analyzer. After obtaining the reversing usage data, the reversing usage data is input into the trained valve core reversing movement analyzer to estimate the analytical smoothness and analytical sealing of the valve core in the actual reversing process in the recent period of time, reflecting the actual performance level of the valve core under the current working conditions.

[0035] Subsequently, in order to more accurately and comprehensively evaluate the current state of the valve core, the predicted value and the analyzed value are combined, that is, the predicted fluency and predicted tightness, as well as the analyzed fluency and analyzed tightness, to obtain a comprehensive evaluation result, that is, the use fluency and the use tightness. Specifically, the predicted fluency and the analyzed fluency are weighted averaged to obtain the use fluency; the predicted tightness and the analyzed tightness are weighted averaged to obtain the use tightness. Among them, the weight is determined according to the credibility of the predicted value and the analyzed value. For example, the weight of the predicted value gradually decreases over time, and the weight of the analyzed value increases with the increase of sample data.

[0036] By taking into account both the expected and measured values ​​of the valve core performance, the real-time status of the valve core can be grasped more dynamically and comprehensively, providing a reliable basis for subsequent optimization control.

[0037] S5: Obtain the current reversing instruction, optimize the valve core reversing control of the hydraulic reversing valve according to the usage smoothness and usage sealing, obtain the optimal reversing control parameters, and perform reversing control according to the reversing instruction, wherein the optimization is performed with reducing the internal leakage amplitude and increasing the reversing speed as the optimization direction.

[0038] Specifically, first, the reversing command currently received by the hydraulic reversing valve is obtained. The reversing command is issued by the host computer or other control unit, and contains the target position information of the valve core, that is, the position state that the valve core is expected to reach after performing the reversing action. In order to enable the valve core to switch to the target position quickly and accurately, the control parameters of the reversing control are optimized, where the control parameters include the driving force size and duration of the valve core when reversing. By adjusting these parameters, the actual reversing speed and sealing effect of the valve core can be changed.

[0039] When optimizing parameters, the actual current use status of the valve core is fully considered. This status is mainly characterized by two indicators, namely, use smoothness and use tightness. Among them, use smoothness reflects the current flexibility of the valve core and is closely related to the reversing speed that the valve core can achieve; while use tightness reflects the sealing performance between the valve core and the valve body, which has an important impact on the control leakage. Subsequently, the control parameters are optimized with the optimization goals of increasing the reversing speed and reducing the internal leakage. Among them, increasing the reversing speed can shorten the response time to the control command and improve the sensitivity of the control; while reducing leakage can improve the energy utilization efficiency and reduce the medium pollution, which is crucial for the long-term stable operation of the reversing valve. In order to quantitatively evaluate the optimization effect of the control parameters, the reversing control quality evaluation function is designed, and the reversing speed and sealing performance of the valve core are comprehensively considered to obtain the evaluation index reflecting the comprehensive control effect. The higher the evaluation index, the better the comprehensive performance of the valve core reversing under the current control parameters. In the parameter optimization process, the evaluation function is used as the optimization target, and the optimization algorithm is used to search for the optimal parameter combination in the feasible parameter space, such as genetic algorithm, particle swarm algorithm, simulated annealing algorithm, etc., to quickly search in the multi-dimensional parameter space and find the parameter combination that makes the evaluation function reach the maximum value, which is output as the optimal reversing control parameter. After obtaining the optimal control parameters, they are applied to the actual reversing control of the valve core, and according to the requirements of the reversing instruction, the valve core is driven to move to the target position to complete the reversing action.

[0040] Based on the actual use status of the valve core, taking into account the switching speed and sealing performance, and optimizing the control parameters, the comprehensive performance of the valve core is optimized, the working potential of the valve core is fully utilized, and internal leakage is reduced while increasing the valve core movement speed.

[0041] Furthermore, the embodiment of the present application also includes:

[0042] Acquire preset switching control parameters of the hydraulic switching valve, wherein the preset switching control parameters include the valve core switching pressure of the hydraulic switching valve that is used most times;

[0043] The preset reversing control parameters are used to perform a reversing test on the installed hydraulic reversing valve to obtain the average valve core movement speed and internal leakage amplitude, and the initial smoothness and initial sealing degree are obtained by classification.

[0044] In a feasible implementation, the valve core reversing pressure of the hydraulic reversing valve with the most times of use is used as the preset reversing control parameter. Among them, the valve core reversing pressure determines the driving force when the valve core moves. By statistically analyzing the usage data of a large number of hydraulic reversing valves of the same model, the distribution law of the valve core reversing pressure is obtained, so that the valve core reversing pressure with the highest frequency of use is selected as the preset reversing control parameter to be close to the actual working conditions. After determining the preset reversing control parameters, the reversing performance of the newly installed hydraulic reversing valve is tested. Specifically, the valve core is driven to perform multiple reversing actions according to the preset reversing control parameters, and the displacement signal and leakage signal of the valve core are collected at the same time. After filtering, integration and other data processing, the average movement speed and internal leakage amplitude of the valve core are calculated. The average movement speed reflects the smoothness of the valve core movement. The higher the speed, the smaller the resistance and the more flexible the reversing; while the internal leakage amplitude reflects the sealing quality of the valve core and the valve body. The smaller the leakage, the better the sealing performance.

[0045] In order to facilitate the subsequent status evaluation and optimization control, the valve core movement speed and internal leakage amplitude are further converted into two indicators: initial smoothness and initial sealing. Specifically, a classification table is pre-constructed to classify the smoothness and sealing into several levels, such as excellent, good, qualified, unqualified, etc., according to the valve core movement speed and internal leakage amplitude. The average movement speed of the valve core and the internal leakage amplitude are mapped through the classification table to obtain the corresponding initial smoothness and initial sealing. Among them, under ideal conditions, the internal leakage amplitude of the newly installed hydraulic reversing valve should be zero, and the sealing performance should be in the best state.

[0046] During the installation and commissioning phase of the hydraulic reversing valve, the speed and leakage data of the valve core reversing under common working conditions are collected and converted into initial smoothness and initial sealing, which objectively reflects the initial performance status of the valve core and provides important benchmarks and criteria for subsequent use.

[0047] Furthermore, the embodiment of the present application also includes:

[0048] During the use of the hydraulic reversing valve, the content of impurity components in the mainstream oil in the hydraulic reversing valve is collected to obtain a record of impurity information of the mainstream oil;

[0049] A set of switching control parameters, a set of valve core movement speeds, and a set of internal leakage amplitudes used for switching within a recent preset time range are collected as switching usage data.

[0050] In a feasible implementation, during the long-term use of the hydraulic reversing valve, some solid impurities, such as metal shavings, rubber debris, dust, etc., may be mixed into the mainstream oil. These impurities may come from the wear of pipelines and seals, or from environmental pollution. After the impurities enter the hydraulic reversing valve, they will be deposited in the gap between the valve core and the valve body, affecting the movement and sealing performance of the valve core. In order to understand the contamination status of the mainstream oil, an online pollution monitoring device is set in the oil supply circuit of the hydraulic reversing valve. The device is equipped with an optical sensor or an inductive sensor to continuously detect the particle size distribution and number concentration of solid particles in the mainstream oil. The online pollution monitoring device uploads the detection data in real time to form a record of mainstream oil impurity information, including the material category of the particles, the particle size distribution histogram, the number concentration of different particle sizes, the total degree of contamination, etc., which provides an important basis for the subsequent evaluation of the valve core status.

[0051] In addition to the contamination of the mainstream oil, the action of the valve core during the actual reversing process is also a key factor in evaluating its health status. To this end, a data acquisition module is set in the control loop of the hydraulic reversing valve to record various parameters when the valve core is reversing. Specifically, the data acquisition module samples the control instructions, displacement feedback, pressure feedback and other signals of the hydraulic reversing valve, and performs necessary data processing to obtain data such as reversing control parameters, valve core movement speed and internal leakage amplitude. In order to more comprehensively reflect the use status of the valve core, historical data within a period of time is sorted and summarized. By setting a suitable time window, such as the last 100 reversals, the last 24 hours, etc., the overall situation of the valve core working within the most recent preset time range is obtained. The data acquisition module summarizes the reversing control parameters, movement speed and internal leakage amplitude within the most recent preset time range into a data set as the reversing use data reflecting the current use status of the valve core.

[0052] Furthermore, the embodiment of the present application also includes:

[0053] According to the use and test data records of the same type of hydraulic reversing valve, collect the sample mainstream oil impurity information record set and the sample reversing test data set, and mark the sample predicted smoothness set and sample predicted sealing set;

[0054] The sample mainstream oil impurity information record set and the sample reversing test data set are used as input data, and the sample predicted smoothness set and the sample predicted sealing set are used as supervision data to train the valve core reversing movement predictor;

[0055] Based on the valve core reversing movement predictor, the mainstream oil impurity information record and the reversing test data are predicted to obtain predicted smoothness and predicted sealing.

[0056] In a preferred embodiment, in order to realize the data-driven prediction of the valve core state, first, a large number of historical operation data of the same type of hydraulic reversing valves are selected as sample sources. These reversing valves have similar structural dimensions and performance parameters, and their working states have commonalities. By performing data cleaning and feature extraction on the sample source, two types of sample data sets are obtained, namely, a sample mainstream oil impurity information record set and a sample reversing test data set. Among them, the sample mainstream oil impurity information record set includes the pollution status data of the mainstream oil of different reversing valves at different times, reflecting the impact of impurities on the performance of the valve core; the sample reversing test data set includes the performance data such as the valve core movement speed and internal leakage amplitude of different reversing valves during factory testing or regular inspection, reflecting the reference state of the valve core before being contaminated. In order to guide the training of the valve core reversing movement predictor, the sample mainstream oil impurity information record set and the sample reversing test data set are labeled. By combining expert experience and data analysis, the predicted smoothness and predicted sealing of the valve core in the corresponding state are graded according to the pollution degree of the sample mainstream oil and the reference performance of the valve core, forming a sample predicted smoothness set and a sample predicted sealing set.

[0057] Based on the acquired sample data set, a valve core reversing movement predictor is constructed to estimate the predicted smoothness and predicted tightness of the valve core under specific pollution state and reference state of the hydraulic reversing valve. The valve core reversing movement predictor adopts the supervised learning framework in machine learning, takes the sample mainstream oil impurity information record and sample reversing test data as input features, and uses the sample predicted smoothness and sample predicted tightness as labels for training. The valve core reversing movement predictor can adopt algorithms such as support vector machine, random forest, neural network, etc., and continuously fits and optimizes the mapping relationship between features and labels by adjusting model parameters and training iterations to form a valve core reversing movement predictor. When the hydraulic reversing valve is put into use, the mainstream oil impurity information record and reversing test data of the current valve core will be collected in stages as the input of the valve core reversing movement predictor, and the expected smoothness level and tightness level of the valve core in the current state will be judged as the predicted smoothness and predicted tightness.

[0058] Furthermore, the embodiment of the present application also includes:

[0059] According to the usage and test data records of the same type of hydraulic reversing valve, collect the sample reversing usage data set, and mark the sample analysis smoothness set and sample analysis sealing set;

[0060] Using the sample reversing usage data set, the sample analysis fluency set and the sample analysis sealing set, training a valve core reversing movement analyzer;

[0061] The valve core reversing movement analyzer is used to analyze the reversing movement of the valve core on the reversing usage data to obtain the analysis smoothness and the analysis sealing degree;

[0062] The analysis fluency and the prediction fluency are weighted and calculated to obtain the usage fluency, and the analysis tightness and the prediction tightness are weighted and calculated to obtain the usage tightness.

[0063] In a feasible implementation, on the basis of the valve core state prediction, the valve core state analysis based on actual usage data is further introduced. First, the historical operation records from the same model of hydraulic reversing valves are extracted, including usage and test data records. By screening and clustering the historical operation records, a sample reversing usage data set is extracted. Each data set contains information such as the reversing control parameters, movement speed, and internal leakage of the valve core in a specific time period, showing the comprehensive performance of the valve core under this working condition. Then, a combination of qualitative and quantitative evaluation is used to judge the smoothness of the movement and the quality of the sealing performance based on the time domain and frequency domain characteristics of the valve core speed and leakage, forming a sample analysis smoothness set and a sample analysis sealing set.

[0064] Subsequently, the valve core reversing movement analyzer is trained based on the sample reversing usage data set, the sample analysis fluency set and the sample analysis sealing set. The input of the valve core reversing movement analyzer is the reversing usage data reflecting the actual working condition of the valve core, and the output is the corresponding analysis fluency and analysis sealing. The valve core reversing movement analyzer quickly determines the current fluency and sealing state of the valve core according to the real-time working parameters of the valve core, providing a basis for subsequent state comprehensive decision-making. When the hydraulic reversing valve is running in the actual system, the reversing usage data of the valve core is continuously recorded and transmitted to the valve core reversing movement analyzer. The valve core reversing movement analyzer extracts features and classifies the received reversing usage data, gives the fluency level and sealing level of the valve core in the current state, and forms the analysis fluency and analysis sealing. In order to comprehensively evaluate the current state of the valve core, the fusion calculation of state information is performed on the basis of prediction and analysis. Specifically, the predicted fluency and the analysis fluency are weighted averaged to obtain the usage fluency; the predicted sealing and the analysis sealing are weighted averaged to obtain the usage sealing. Through weighted averaging, the smoothness of use and the tightness of use comprehensively consider the theoretical expectations and actual performance of the valve core status, reducing the randomness and one-sidedness of a single data source, making the evaluation results more reliable and comprehensive.

[0065] Furthermore, the embodiment of the present application also includes:

[0066] Obtaining a current reversing instruction, wherein the reversing instruction includes a reversing valve core position;

[0067] According to the deviation between the use smoothness and the use tightness and the initial smoothness and the initial tightness, a reversing control function is constructed with the reduction of the internal leakage amplitude and the increase of the reversing speed as the optimization direction, as shown in the following formula:

[0068] ;

[0069] Among them, RCF is the switching fitness, and is the weight, is a fluency coefficient, which is a ratio of the deviation between the usage fluency and the initial fluency to the initial fluency, is the sealing coefficient, which is the ratio of the deviation between the service sealing degree and the initial sealing degree to the initial sealing degree, To control the spool movement speed of the simulation according to the reversing control parameters, is the valve core moving speed corresponding to the initial smoothness, is the internal leakage amplitude of the control simulation according to the commutation control parameters;

[0070] According to the reversing control function, the valve core reversing control of the hydraulic reversing valve is optimized to obtain the optimal reversing control parameters, and the reversing control is performed according to the reversing valve core position.

[0071] In a preferred embodiment, during the actual operation of the hydraulic system, a reversing instruction of the valve core is generated in real time according to the process requirements, indicating the target position and switching timing of the valve core. The reversing instruction issued by the host computer is obtained in real time, and the reversing valve core position information therein, including the current state and target position of the valve core, is extracted as the basic input for optimization control. After obtaining the current state and target position of the valve core, the control parameters are optimized so that the valve core can be safely and efficiently switched to the target position in the current state. Among them, an adaptive control strategy is adopted to dynamically adjust the control mode according to the change of the valve core state relative to the initial state, so as to achieve the optimization goals of minimum internal leakage and fastest reversing speed.

[0072] In order to quantify the control effect, a reversing fitness function is defined to evaluate the comprehensive performance of valve core reversing under given control parameters. The specific form of the reversing fitness function is as follows:

[0073] ;

[0074] Among them, RCF is the switching fitness, and is the weight, is the fluency coefficient, which is the ratio of the deviation between the usage fluency and the initial fluency to the initial fluency. is the sealing coefficient, which is the ratio of the deviation between the used sealing degree and the initial sealing degree to the initial sealing degree. To control the spool movement speed of the simulation according to the reversing control parameters, The valve core movement speed corresponding to the initial smoothness, is the internal leakage amplitude of the control simulation according to the commutation control parameters. In the commutation fitness function, the speed factor Characterizes the influence of control parameters on the valve core switching speed. The larger the speed ratio in brackets, the larger the logarithmic value, indicating that the switching action is faster. It characterizes the influence of control parameters on internal leakage. The smaller the leakage, the smaller the logarithm value, indicating better sealing performance. and sealing factor The introduction of and The importance of can be dynamically adjusted according to the actual state of the valve core. Specifically, when the valve core smoothness deteriorates or the sealing degree decreases, the corresponding state coefficient will become larger, making the speed factor or the sealing factor occupy a larger weight in the fitness function, guiding more attention to the deteriorating state indicators and performing targeted optimization control. Through the adaptive weight distribution strategy, the optimal comprehensive control effect is achieved on valve cores with different health levels.

[0075] Subsequently, based on the constructed reversing fitness function, the optimization of the valve core reversing control parameters is implemented online. Specifically, with the fitness function as the optimization target, the optimal combination of control parameters is searched to maximize the fitness function value. For example, the gradient descent method, genetic algorithm, particle swarm optimization, etc. are used to obtain the global optimal or approximately optimal control scheme through multiple rounds of iterative calculations as the optimal reversing control parameters. After obtaining the optimal control parameters, they are applied to the actual reversing action of the valve core. According to the target position and optimal control parameters specified by the reversing instruction, the driving signal of the valve core is strictly controlled so that the valve core can accurately switch to the target position in the shortest time and maintain a good sealing state to complete the complete reversing action.

[0076] Furthermore, the embodiment of the present application also includes:

[0077] Randomly selecting a first switching pressure in the switching pressure space of the valve core as a first switching control parameter;

[0078] According to the first reversing control parameter, the use smoothness and the use tightness, a valve core reversing control simulation is performed to obtain a first valve core movement speed and a first internal leakage amplitude, wherein a sample reversing control parameter set, a sample use smoothness set and a sample use tightness set are collected, a valve core reversing control simulator is trained, and a valve core reversing control simulation is performed;

[0079] According to the first valve core movement speed and the first internal leakage amplitude, based on the reversing control function, a first reversing adaptability is calculated;

[0080] Continue to iterate and optimize the commutation control parameters until convergence, and output the commutation control parameters with the largest commutation fitness as the optimal commutation control parameters.

[0081] In a feasible implementation, the valve core reversing pressure is a key control parameter that affects the reversing speed and sealing performance. The valve core reversing pressure has a reasonable range of values, which is the reversing pressure space. Taking the reversing pressure space as the search domain, a pressure value is randomly generated as the first reversing pressure, as the first reversing control parameter, and it is used as the starting point for the optimization of the valve core reversing control. Among them, random selection can achieve uniform initial sampling in the pressure space, avoiding falling into the local optimum in the early stage of the search process. After selecting the first reversing control parameter, the performance of the valve core reversing under the pressure condition is evaluated. A pre-trained valve core reversing control simulator is used to perform a virtual simulation of the reversing process. The input of the valve core reversing control simulator is the reversing control parameter, the valve core use smoothness and the use tightness, and the output is the valve core movement speed and the internal leakage amplitude. In order to train the valve core reversing control simulator, a series of sample data are collected, including a sample reversing control parameter set, a sample use smoothness set and a sample use tightness set, which are obtained through experimental tests or historical data mining, covering the performance data of the valve core reversing under different working conditions and different states. The simulator is trained using sample data to establish a nonlinear mapping relationship between control parameters, state indicators and switching performance. The trained simulator can predict the movement speed and internal leakage of the valve core for any given control parameters and state indicators, providing an efficient performance evaluation method for control optimization. Using the trained valve core switching control simulator, the first switching control parameter, smoothness of use and sealing degree of use are simulated to obtain the first valve core movement speed and the first internal leakage amplitude under the first switching pressure as the performance evaluation of the valve core switching under the control parameter.

[0082] Subsequently, the first valve core movement speed and the first internal leakage amplitude are substituted into the constructed reversing fitness function to obtain the comprehensive performance index of the valve core reversing under the control of the first reversing control parameter, which is called the first reversing fitness. The larger the value of the first reversing fitness, the better the speed and sealing performance of the valve core reversing action under the reversing pressure, and the better the reversing control effect. Taking the first reversing pressure as the starting point, the pressure parameters are continuously updated through iterative search, the reversing performance is evaluated, and the control effect is optimized. In each round of iteration, within the neighborhood of the pressure value of the previous round, the pressure value is adjusted according to certain rules (such as gradient descent) to generate a new candidate pressure value; the candidate pressure value is input into the valve core reversing control simulator as a new reversing control parameter to obtain the corresponding valve core movement speed and internal leakage amplitude prediction value; the predicted value is substituted into the reversing fitness function to calculate the reversing fitness under the candidate pressure; the fitness is compared with the current optimal fitness, if it is better, the optimal pressure value and the optimal fitness are updated, otherwise it remains unchanged; enter the next round of iteration until the fitness improvement is less than the set threshold or the number of iterations reaches the upper limit. After the iteration, the pressure value with the largest switching adaptability in the entire search process is output and used as the optimal switching control parameter under the current working conditions, achieving the best balance between the valve core switching speed and sealing performance, which can maximize the performance potential of the valve core and improve the control quality.

[0083] In summary, the intelligent control method of a hydraulic reversing valve provided in the embodiment of the present application has the following technical effects:

[0084] Collect the reversing test data of the reversing movement test during the installation of the hydraulic reversing valve, where the reversing test data includes the initial smoothness and initial sealing of the valve core during the reversing movement. By performing the reversing movement test when the reversing valve is installed, the initial smoothness and initial sealing data of the valve core during reversing are obtained, providing a benchmark and reference for the subsequent valve core state prediction and control optimization. During the use of the hydraulic reversing valve, collect the mainstream oil impurity information record, and collect the reversing use data for reversing use within the recent preset time range. By continuously collecting the mainstream oil impurity information and reversing use data, the degree of contamination and wear of the valve core and the actual working state of the reversing valve are grasped, providing data for the valve core state prediction. According to the mainstream oil impurity information record and the reversing test data, the valve core reversing movement is predicted to obtain the predicted smoothness and predicted sealing. Through the obtained initial data and the collected real-time data, the predicted smoothness and predicted sealing of the current valve core are predicted, providing a basis for subsequent control optimization. According to the reversing usage data, the valve core reversing movement analysis is performed to obtain the analysis smoothness and analysis sealing degree. Combined with the predicted smoothness and predicted sealing degree, the use smoothness and use sealing degree are calculated. By analyzing the reversing usage data in the recent period, the analysis smoothness and analysis sealing degree that reflect the actual movement smoothness and sealing performance of the valve core are obtained, and combined with the obtained prediction results, a more comprehensive and accurate valve core state evaluation result, namely, the use smoothness and use sealing degree, is obtained. The current reversing instruction is obtained, and the valve core reversing control of the hydraulic reversing valve is optimized according to the use smoothness and use sealing degree to obtain the optimal reversing control parameters. The reversing control is performed according to the reversing instruction. By reducing the internal leakage amplitude and increasing the reversing speed as the optimization goal, the optimal reversing control parameters are obtained, and the reversing control is performed accordingly, so as to achieve the effect of minimizing the internal leakage while increasing the reversing speed, extending the service life of the reversing valve, and improving the efficiency of the hydraulic system.

[0085] Embodiment 2 is based on the same inventive concept as the intelligent control method of a hydraulic reversing valve in the above embodiment. Figure 2 As shown, the embodiment of the present application provides an intelligent control system for a hydraulic reversing valve, the system comprising:

[0086] The test data acquisition module 11 is used to collect the switching test data of the switching movement test during the installation of the hydraulic switching valve, wherein the switching test data includes the initial smoothness and initial sealing degree of the valve core during the switching movement;

[0087] The operation data collection module 12 is used to collect the information record of impurities in the mainstream oil during the use of the hydraulic reversing valve, and collect the reversing use data of the reversing use within the recent preset time range;

[0088] The valve core state prediction module 13 is used to predict the valve core reversing movement according to the mainstream oil impurity information record and the reversing test data, and obtain the predicted smoothness and predicted sealing degree;

[0089] The valve core performance analysis module 14 is used to analyze the valve core reversing movement according to the reversing usage data, obtain the analysis fluency and the analysis tightness, and calculate the use fluency and the use tightness in combination with the predicted fluency and the predicted tightness;

[0090] The control optimization execution module 15 is used to obtain the current reversing instruction, optimize the valve core reversing control of the hydraulic reversing valve according to the usage smoothness and usage sealing, obtain the optimal reversing control parameters, and perform reversing control according to the reversing instruction, wherein the optimization direction is to reduce the internal leakage amplitude and increase the reversing speed.

[0091] Furthermore, the test data collection module 11 includes the following execution steps:

[0092] Acquire preset switching control parameters of the hydraulic switching valve, wherein the preset switching control parameters include the valve core switching pressure of the hydraulic switching valve that is used most times;

[0093] The preset reversing control parameters are used to perform a reversing test on the installed hydraulic reversing valve to obtain the average valve core movement speed and internal leakage amplitude, and the initial smoothness and initial sealing degree are obtained by classification.

[0094] Furthermore, running the data acquisition module 12 includes the following execution steps:

[0095] During the use of the hydraulic reversing valve, the content of impurity components in the mainstream oil in the hydraulic reversing valve is collected to obtain a record of impurity information of the mainstream oil;

[0096] A set of switching control parameters, a set of valve core movement speeds, and a set of internal leakage amplitudes used for switching within a recent preset time range are collected as switching usage data.

[0097] Furthermore, the valve core state prediction module 13 includes the following execution steps:

[0098] According to the use and test data records of the same type of hydraulic reversing valve, collect the sample mainstream oil impurity information record set and the sample reversing test data set, and mark the sample predicted smoothness set and sample predicted sealing set;

[0099] The sample mainstream oil impurity information record set and the sample reversing test data set are used as input data, and the sample predicted smoothness set and the sample predicted sealing set are used as supervision data to train the valve core reversing movement predictor;

[0100] Based on the valve core reversing movement predictor, the mainstream oil impurity information record and the reversing test data are predicted to obtain predicted smoothness and predicted sealing.

[0101] Furthermore, the valve core performance analysis module 14 includes the following execution steps:

[0102] According to the usage and test data records of the same type of hydraulic reversing valve, collect the sample reversing usage data set, and mark the sample analysis smoothness set and sample analysis sealing set;

[0103] Using the sample reversing usage data set, the sample analysis fluency set and the sample analysis sealing set, training a valve core reversing movement analyzer;

[0104] The valve core reversing movement analyzer is used to analyze the reversing movement of the valve core on the reversing usage data to obtain the analysis smoothness and the analysis sealing degree;

[0105] The analysis fluency and the prediction fluency are weighted and calculated to obtain the usage fluency, and the analysis tightness and the prediction tightness are weighted and calculated to obtain the usage tightness.

[0106] Furthermore, the control optimization execution module 15 includes the following execution steps:

[0107] Obtaining a current reversing instruction, wherein the reversing instruction includes a reversing valve core position;

[0108] According to the deviation between the use smoothness and the use tightness and the initial smoothness and the initial tightness, a reversing control function is constructed with the reduction of the internal leakage amplitude and the increase of the reversing speed as the optimization direction, as shown in the following formula:

[0109] ;

[0110] Among them, RCF is the switching fitness, and is the weight, is a fluency coefficient, which is a ratio of the deviation between the usage fluency and the initial fluency to the initial fluency, is the sealing coefficient, which is the ratio of the deviation between the service sealing degree and the initial sealing degree to the initial sealing degree, To control the spool movement speed of the simulation according to the reversing control parameters, is the valve core moving speed corresponding to the initial smoothness, is the internal leakage amplitude of the control simulation according to the commutation control parameters;

[0111] According to the reversing control function, the valve core reversing control of the hydraulic reversing valve is optimized to obtain the optimal reversing control parameters, and the reversing control is performed according to the reversing valve core position.

[0112] Furthermore, the control optimization execution module 15 also includes the following execution steps:

[0113] Randomly selecting a first switching pressure in the switching pressure space of the valve core as a first switching control parameter;

[0114] According to the first reversing control parameter, the use smoothness and the use tightness, a valve core reversing control simulation is performed to obtain a first valve core movement speed and a first internal leakage amplitude, wherein a sample reversing control parameter set, a sample use smoothness set and a sample use tightness set are collected, a valve core reversing control simulator is trained, and a valve core reversing control simulation is performed;

[0115] According to the first valve core movement speed and the first internal leakage amplitude, based on the reversing control function, a first reversing adaptability is calculated;

[0116] Continue to iterate and optimize the commutation control parameters until convergence, and output the commutation control parameters with the largest commutation fitness as the optimal commutation control parameters.

[0117] Embodiment 3, Figure 3 The structural schematic diagram of the electronic device provided in the third embodiment of the present application shows a block diagram of an exemplary electronic device suitable for implementing the implementation mode of the present invention. Figure 3 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 3 As shown, the electronic device includes a processor 21, a memory 22, an input device 23 and an output device 24; the number of processors 21 in the electronic device can be one or more. Figure 3 Taking a processor 21 as an example, the processor 21, memory 22, input device 23 and output device 24 in the electronic device can be connected through a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0118] The memory 22 is a computer-readable storage medium that can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to an intelligent control method for a hydraulic reversing valve in an embodiment of the present application. The processor 21 executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory 22, that is, realizing the intelligent control method for a hydraulic reversing valve described above.

[0119] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0120] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these changes and variations.

Claims

1. An intelligent control method for a hydraulic reversing valve, characterized in that: The method comprises: Collecting the reversing test data of the reversing movement test during the installation of the hydraulic reversing valve, wherein the reversing test data includes the initial smoothness and initial sealing degree of the valve core during the reversing movement; During the use of the hydraulic reversing valve, the main oil impurity information record is collected, and the reversing use data for the reversing use within the recent preset time range is collected; According to the mainstream oil impurity information record and the reversing test data, the valve core reversing movement is predicted to obtain the predicted smoothness and the predicted sealing degree; Perform valve core reversing movement analysis based on the reversing usage data to obtain analysis fluency and analysis tightness, and calculate and obtain usage fluency and usage tightness by combining the predicted fluency and predicted tightness; Obtaining the current reversing instruction, optimizing the valve core reversing control of the hydraulic reversing valve according to the use smoothness and the use sealing degree, obtaining the optimal reversing control parameters, and performing reversing control according to the reversing instruction, wherein the optimization is performed with the reduction of the internal leakage amplitude and the increase of the reversing speed as the optimization direction; According to the mainstream oil impurity information record and the reversing test data, the valve core reversing movement prediction is performed to obtain the predicted smoothness and the predicted sealing degree, including: According to the use and test data records of the same type of hydraulic reversing valve, collect the sample mainstream oil impurity information record set and the sample reversing test data set, and mark the sample predicted smoothness set and sample predicted sealing set; The sample mainstream oil impurity information record set and the sample reversing test data set are used as input data, and the sample predicted smoothness set and the sample predicted sealing set are used as supervision data to train the valve core reversing movement predictor; Based on the valve core reversing movement predictor, the mainstream oil impurity information record and the reversing test data are predicted to obtain predicted smoothness and predicted sealing; Among them, performing valve core reversing movement analysis according to the reversing usage data to obtain analysis fluency and analysis tightness, combining the predicted fluency and predicted tightness to calculate and obtain usage fluency and usage tightness, includes: According to the usage and test data records of the same type of hydraulic reversing valve, collect the sample reversing usage data set, and mark the sample analysis smoothness set and sample analysis sealing set; Using the sample reversing usage data set, the sample analysis fluency set and the sample analysis sealing set, training a valve core reversing movement analyzer; The valve core reversing movement analyzer is used to analyze the reversing movement of the valve core on the reversing usage data to obtain the analysis smoothness and the analysis sealing degree; The analysis fluency and the prediction fluency are weighted and calculated to obtain the usage fluency, and the analysis tightness and the prediction tightness are weighted and calculated to obtain the usage tightness; The current reversing instruction is obtained, and the valve core reversing control of the hydraulic reversing valve is optimized according to the use smoothness and the use sealing degree, including: Obtaining a current reversing instruction, wherein the reversing instruction includes a reversing valve core position; According to the deviation between the use smoothness and the use tightness and the initial smoothness and the initial tightness, a reversing control function is constructed with the reduction of the internal leakage amplitude and the increase of the reversing speed as the optimization direction, as shown in the following formula: ； Among them, RCF is the switching fitness, and is the weight, is a fluency coefficient, which is a ratio of the deviation between the usage fluency and the initial fluency to the initial fluency, is the sealing coefficient, which is the ratio of the deviation between the service sealing degree and the initial sealing degree to the initial sealing degree, To control the spool movement speed of the simulation according to the reversing control parameters, is the valve core moving speed corresponding to the initial smoothness, is the internal leakage amplitude of the control simulation according to the commutation control parameters; According to the reversing control function, the valve core reversing control of the hydraulic reversing valve is optimized to obtain the optimal reversing control parameters, and the reversing control is performed according to the reversing valve core position; According to the reversing control function, the valve core reversing control of the hydraulic reversing valve is optimized to obtain the optimal reversing control parameters, including: Randomly selecting a first switching pressure in the switching pressure space of the valve core as a first switching control parameter; According to the first reversing control parameter, the use smoothness and the use tightness, a valve core reversing control simulation is performed to obtain a first valve core movement speed and a first internal leakage amplitude, wherein a sample reversing control parameter set, a sample use smoothness set and a sample use tightness set are collected, a valve core reversing control simulator is trained, and a valve core reversing control simulation is performed; According to the first valve core movement speed and the first internal leakage amplitude, based on the reversing control function, a first reversing adaptability is calculated; Continue to iterate and optimize the commutation control parameters until convergence, and output the commutation control parameters with the largest commutation fitness as the optimal commutation control parameters.

2. The intelligent control method of the hydraulic reversing valve according to claim 1 is characterized in that: Collect the reversing test data of the reversing movement test during the installation of the hydraulic reversing valve, including: Acquire preset switching control parameters of the hydraulic switching valve, wherein the preset switching control parameters include the valve core switching pressure of the hydraulic switching valve that is used most times; The preset reversing control parameters are used to perform a reversing test on the installed hydraulic reversing valve to obtain the average valve core movement speed and internal leakage amplitude, and the initial smoothness and initial sealing degree are obtained by classification.

3. The intelligent control method of the hydraulic reversing valve according to claim 1 is characterized in that: During the use of the hydraulic reversing valve, the main oil impurity information record is collected, and the reversing use data for the recent reversing use within a preset time range is collected, including: During the use of the hydraulic reversing valve, the content of impurity components in the mainstream oil in the hydraulic reversing valve is collected to obtain a record of impurity information of the mainstream oil; A set of switching control parameters, a set of valve core movement speeds, and a set of internal leakage amplitudes used for switching within a recent preset time range are collected as switching usage data.

4. An intelligent control system for a hydraulic reversing valve, characterized in that: An intelligent control method for a hydraulic reversing valve according to any one of claims 1 to 3, the system comprising: A test data acquisition module, the test data acquisition module is used to collect the reversing test data of the reversing movement test when the hydraulic reversing valve is installed, wherein the reversing test data includes the initial smoothness and initial sealing degree of the valve core during the reversing movement; An operation data acquisition module, wherein the operation data acquisition module is used to collect information records of impurities in the mainstream oil during the use of the hydraulic reversing valve, and to collect reversing use data performed within a recent preset time range; A valve core state prediction module, the valve core state prediction module is used to predict the valve core reversing movement according to the mainstream oil impurity information record and the reversing test data, and obtain the predicted smoothness and the predicted sealing degree; A valve core performance analysis module, the valve core performance analysis module is used to analyze the valve core reversing movement according to the reversing usage data, obtain the analysis fluency and the analysis tightness, and calculate the use fluency and the use tightness in combination with the predicted fluency and the predicted tightness; A control optimization execution module is used to obtain the current reversing instruction, optimize the valve core reversing control of the hydraulic reversing valve according to the usage smoothness and usage sealing, obtain the optimal reversing control parameters, and perform reversing control according to the reversing instruction, wherein the optimization direction is to reduce the internal leakage amplitude and increase the reversing speed.

5. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; Wherein, the processor is used to execute the intelligent control method of the hydraulic reversing valve described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the intelligent control method of the hydraulic reversing valve according to any one of claims 1 to 3.

Images