Device and method for testing electromagnetic force of electromagnetic valve

Abstract

The invention discloses a device and a method for testing electromagnetic force of an electromagnetic valve, relates to the technical field of electromagnetic force testing of electromagnetic valves, and is used for solving the problem that the abnormal recognition capability is insufficient due to the fact that fusion modeling analysis cannot be carried out on suction displacement, opening and closing angles and oscillation characteristics of an electromagnetic coil. The operation state of the electromagnetic valve is monitored, response time and current signals are collected after a control instruction is received, marking is carried out in combination with the change trend, the marked electromagnetic valve is divided into areas, test time is set, suction displacement and opening and closing angles are detected, the angle fluctuation ratio is calculated, action behavior characteristics are analyzed, and electromagnetic force is applied through an electromagnet. Recording the coil resistance value and oscillation amplitude of each area, fusing the above characteristics to judge the area state, screening the abnormal area, calculating the calibration coefficient according to the coil resistance, adjusting the electromagnetic force to generate the target electromagnetic force, and achieving the fine recognition and adjustment of the abnormal area.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic force testing technology for solenoid valves, and more specifically, to a solenoid valve electromagnetic force testing device and testing method. Background Technology

[0002] Solenoid valves, as key actuators in industrial automation control systems, are widely used in fluid control, hydraulic control, and pneumatic systems. Their performance directly affects the response speed, execution accuracy, and operational stability of the entire system. Traditional solenoid valve testing mainly focuses on measuring static parameters such as opening and closing status, response time, and on / off current.

[0003] The existing technology has the following shortcomings: Currently, existing technologies often neglect the dynamic characteristics of the electromagnetic behavior of solenoid valves during actual operation, especially the real-time change trend of electromagnetic force and the influence of coil resistance on response behavior. This makes it difficult to comprehensively and accurately reflect the health status and potential anomalies of solenoid valves, and it is impossible to integrate and model the pull-in displacement, opening and closing angle, and oscillation characteristics of the electromagnetic coil for analysis. This results in insufficient anomaly identification capability and decreased control accuracy. Therefore, a solenoid valve electromagnetic force testing device and its testing method are proposed.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a solenoid valve electromagnetic force testing device and testing method, which solves the problems mentioned in the background art by employing multi-parameter fusion analysis and regional dynamic calibration mechanism.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for testing the electromagnetic force of a solenoid valve, comprising the following steps: Step S1: Monitor the operating status of the solenoid valve. After receiving control commands through the interactive interface, collect the response time and current signal of the solenoid valve. Analyze the current change trend based on the current signal and mark the solenoid valve in combination with the response time. Step S2: Divide the marked solenoid valve into regions, set the test time and detect the pull-in displacement and opening / closing angle of each region, calculate the angle fluctuation rate using the opening / closing angle, and analyze the action behavior characteristics by combining the pull-in displacement and angle fluctuation rate. Step S3: Apply electromagnetic force to the marked solenoid valve using an electromagnet, record the coil resistance value and oscillation amplitude of each area, combine the oscillation amplitude and action behavior characteristics to judge each area, and filter out abnormal areas based on the judgment results; Step S4: Calculate the calibration coefficient based on the coil resistance value of the abnormal area, and use the calibration coefficient to adjust the electromagnetic force to generate the target electromagnetic force in the abnormal area.

[0007] In a preferred embodiment, in step S1, the time interval from the moment the solenoid valve receives the control signal to the moment the solenoid valve performs the actual physical action is recorded as the response time. Within the response time, the Hall sensor detects the current signal flowing through the solenoid valve power supply circuit at a set sampling frequency and obtains the corresponding instantaneous current value to form a current sequence. The dynamic variability of current is calculated based on the second-order difference of the current sequence to quantify the trend of current change. The response time and current dynamic variability are standardized to obtain the standard response time and standard current dynamic variability.

[0008] In a preferred embodiment, in step S1, the standard response time and the standard current dynamic variability are used to form a two-dimensional feature vector, which is then input into the logistic regression model to output the predicted probability that the solenoid valve is in an abnormal operating state. If the predicted probability is greater than or equal to the preset state judgment threshold, the solenoid valve is judged to be in an abnormal operating state. If the predicted probability is less than the state determination threshold, the solenoid valve is determined to be in normal operating condition. The solenoid valves that are in abnormal operating condition are marked to obtain marked solenoid valves.

[0009] In a preferred embodiment, in step S2, based on the internal structure of the solenoid valve body, the marking solenoid valve is divided into a fixed number of regions along the direction of electromagnetic force and the movement path of the movable part. The test time for each region is set according to the time progression relationship between the time when the marked solenoid valve receives the control signal and the spatial location of the region. During the test period, the attraction displacement of the moving components in each area during the energization process was detected by a linear displacement sensor; The opening and closing angles of each region are obtained by collecting the angular change of rotating components from opening to closing or from closing to opening in each region using a magnetic rotation sensor.

[0010] In a preferred embodiment, in step S2, the angular volatility of each region is calculated based on the opening and closing angles, defined as follows: ; in, For angular volatility, For the first time during the test period The opening and closing angles collected at each sampling time. This represents the total number of sampling moments within the test period. This is the index value at the sampling time; The Euclidean distance formula is used to integrate the suction displacement and angular fluctuation rate to calculate the motion behavior characteristics.

[0011] In a preferred embodiment, in step S3, a preset time window is defined and divided into multiple acquisition times. Within the time window, a preset reference electromagnetic force is applied to the marker solenoid valve via an electromagnet. The coil resistance value in each region within the time window is detected by a resistance tester, and the coil resistance values ​​at each acquisition time are combined into a resistance value set. The vibration sensor detects the oscillation amplitude at each acquisition time in the area, and the MAD algorithm is used to calculate the oscillation threshold based on each oscillation amplitude.

[0012] In a preferred embodiment, in step S3, anomaly determination is performed on the oscillation amplitude and behavioral characteristics of each region: If the oscillation amplitude is greater than the oscillation threshold, the corresponding region is judged as a high oscillation region; otherwise, the corresponding region is judged as a normal oscillation region. If the action behavior characteristics are greater than the preset action behavior threshold, the corresponding area is determined to be the behavior deviation area; otherwise, the corresponding area is determined to be the behavior normal area.

[0013] In a preferred embodiment, in step S3, the abnormal areas are screened by combining the determination results of the oscillation amplitude and action behavior characteristics of the marked solenoid valve area: If the marked solenoid valve area simultaneously meets the criteria for both high oscillation area and behavior deviation area, then the corresponding area is judged as an abnormal area. Otherwise, the corresponding area is judged as a normal area.

[0014] In a preferred embodiment, in step S4, the maximum and minimum values ​​of the coil resistance values ​​in the abnormal region resistance value set are subtracted to obtain the resistance fluctuation value; The standard fluctuation value is retrieved from the solenoid valve database, and the ratio of the standard fluctuation value to the resistance fluctuation value is used as the calibration coefficient. The product of the calibration coefficient and the preset reference electromagnetic force is used as the target electromagnetic force.

[0015] An electromagnetic force testing device for a solenoid valve includes a monitoring system, an interactive interface, a sensor assembly, data analysis software, an electromagnet, a coil resistance tester, a vibration sensor, and a computer control system. Monitoring system: includes a timer and a Hall sensor. The timer is used to monitor the response time in real time, and the Hall sensor is used to monitor the current signal of the solenoid valve. Interactive interface: Receives control commands and displays monitoring results; Sensor assembly: includes a linear displacement sensor and a magnetic rotation sensor. The linear displacement sensor is used to measure the attraction displacement, and the magnetic rotation sensor is used to measure the opening and closing angle. Data analysis software: calculates angular volatility and comprehensively analyzes suction displacement; Electromagnet: Used to apply electromagnetic force; Coil resistance tester: used to record the coil resistance value in each area; Vibration sensor: used to measure oscillation amplitude; Computer control system: It integrates and analyzes the oscillation amplitude and motion behavior characteristics, calculates the calibration coefficient, and adjusts the electromagnetic force according to the calibration coefficient to generate the target electromagnetic force.

[0016] The technical effects and advantages of this invention are as follows: This invention monitors the operating status of a solenoid valve. After receiving control commands via an interactive interface, it collects the solenoid valve's response time and current signal. Based on the current signal, it analyzes the current change trend and marks the solenoid valve according to the response time. The marked solenoid valve is then divided into regions. A test time is set, and the pull-in displacement and opening / closing angle of each region are detected. The opening / closing angle is used to calculate the angle fluctuation rate. The combined pull-in displacement and angle fluctuation rate are analyzed to identify the behavioral characteristics. Electromagnetic force is applied to the marked solenoid valve using an electromagnet, and the coil resistance value and oscillation amplitude of each region are recorded. The oscillation amplitude and behavioral characteristics are combined to judge each region. Based on the judgment results, abnormal regions are selected. A calibration coefficient is calculated based on the coil resistance value of the abnormal region. This calibration coefficient is used to adjust the electromagnetic force, generating a target electromagnetic force for the abnormal region. This achieves refined identification and adjustment of abnormal regions of the marked solenoid valve, improving the monitoring accuracy of the solenoid valve's operating status. Attached Figure Description

[0017] Figure 1 This is a flowchart of a method for testing the electromagnetic force of an electromagnetic valve according to the present invention.

[0018] Figure 2 This is a schematic diagram of an electromagnetic force testing device for an electromagnetic valve according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] This invention monitors the operating status of a solenoid valve. After receiving control commands via an interactive interface, it collects the solenoid valve's response time and current signal. Based on the current signal, it analyzes the current change trend and marks the solenoid valve according to the response time. The marked solenoid valve is then divided into regions. A test time is set, and the pull-in displacement and opening / closing angle of each region are detected. The opening / closing angle is used to calculate the angle fluctuation rate. The combined pull-in displacement and angle fluctuation rate are used to analyze the behavioral characteristics. Electromagnetic force is applied to the marked solenoid valve using an electromagnet, and the coil resistance value and oscillation amplitude of each region are recorded. The oscillation amplitude and behavioral characteristics are combined to judge each region. Based on the judgment results, abnormal regions are selected. A calibration coefficient is calculated based on the coil resistance value of the abnormal region. This calibration coefficient is used to adjust the electromagnetic force, generating a target electromagnetic force for the abnormal region. This achieves refined identification and adjustment of abnormal regions of the marked solenoid valve.

[0021] Example 1: A method for testing the electromagnetic force of a solenoid valve, such as... Figure 1 As shown, the process includes the following steps: Step S1: Monitor the operating status of the solenoid valve, receive control commands through the interactive interface, collect the response time and current signal of the solenoid valve, analyze the current change trend based on the current signal, and mark the solenoid valve in combination with the response time. Step S2: Divide the marked solenoid valve into regions, set the test time and detect the pull-in displacement and opening / closing angle of each region, calculate the angle fluctuation rate using the opening / closing angle, and analyze the action behavior characteristics by combining the pull-in displacement and angle fluctuation rate. Step S3: Apply electromagnetic force to the marked solenoid valve using an electromagnet, record the coil resistance value and oscillation amplitude of each area, combine the oscillation amplitude and action behavior characteristics to judge each area, and filter out abnormal areas based on the judgment results; Step S4: Calculate the calibration coefficient based on the coil resistance value of the abnormal area, and use the calibration coefficient to adjust the electromagnetic force to generate the target electromagnetic force in the abnormal area.

[0022] The specific implementation is as follows: In step S1, the operating status of the solenoid valve is monitored, and a communication connection is established with the interactive interface of the solenoid valve testing device. When the interactive interface receives a control command, a control signal is applied to the solenoid valve, and a timer is started to record the response time. The response time is the time interval between the moment when the solenoid valve receives the control signal and the moment when the solenoid valve performs an actual physical action. Whether the solenoid valve performs an actual physical action is determined by detecting the change signal of the solenoid valve's operating status through a Hall sensor.

[0023] It should be noted that the interactive interface refers to the human-machine interface unit set on the electromagnetic force testing device of the solenoid valve, which is used to receive the test command parameters input by the user, display the operating status information of the solenoid valve, and realize data communication with the host computer system or terminal operation platform; the Hall sensor is a magnetic field sensing device designed based on the Hall effect principle, which is used to detect changes in the internal magnetic circuit of the solenoid valve or the displacement position of the movable component, thereby realizing accurate identification of the solenoid valve's operating status.

[0024] Within the response time, the Hall sensor detects the current signal flowing through the solenoid valve power supply circuit at a set sampling frequency and obtains the corresponding instantaneous current value, forming a current sequence.

[0025] The changing trend of the current signal is structurally quantified by calculating the dynamic variability of the current based on the second-order difference of the current sequence, in order to quantify the current changing trend. The specific calculation formula is as follows: , ; in, For the dynamic variability of current, For the current signal at the sampling point The second-order difference at a given point is used to characterize the degree of change in the rate of change of current. Indicates at the sampling time The collected current value, The start time when the solenoid valve receives the control signal. The index value of the sampling point within the response time. Sampling frequency, This represents the total number of sampling points within the response time.

[0026] The greater the dynamic variability of the current, the greater the degree of fluctuation, oscillation or abrupt change in the current signal during the energization process; conversely, the smaller the dynamic variability of the current, the smoother the current change process and the better the response.

[0027] After collecting and calculating the response time and current dynamic variability, the operating status of the solenoid valve is classified and judged.

[0028] First, the response time and current dynamic variability are standardized to eliminate the interference of different physical dimensions and orders of magnitude on the model's discrimination results. The standardization method adopted is Z-score standardization, which involves subtracting the mean of the corresponding historical data from the response time and current dynamic variability, and then dividing the difference by the standard deviation of the historical data to obtain the standard response time and standard current dynamic variability. The processed response time and current dynamic variability have the same numerical scale, thereby improving the stability and accuracy of the classification model.

[0029] The historical data is based on raw operating data collected from solenoid valve samples known to be in normal operating condition under standard test conditions.

[0030] The standard response time and standard current dynamic variability are used to construct a two-dimensional feature vector, which is then input into the logistic regression model to build a classification function of the following form: ; in, This is the predicted probability that the solenoid valve is in an abnormal operating state. For standard response time, For standard current dynamic variability, For bias terms, and These are the weighting coefficients corresponding to the standard response time and the standard current dynamic variability, respectively. It is the base of the natural logarithm.

[0031] It should be noted that the bias term and weight coefficients in the logistic regression model are obtained by training with historical solenoid valve operating data. During the training process, the parameters are fitted by maximizing the likelihood function. The trained model is then called in real time for each detection task.

[0032] Based on the predicted probability output above, the state determination threshold is further called to perform classification determination. If the predicted probability is greater than or equal to the state determination threshold, the solenoid valve is determined to be in an abnormal operating state. If the predicted probability is less than the state determination threshold, the solenoid valve is determined to be in a normal operating state. The solenoid valves that are in abnormal operating condition are marked to obtain marked solenoid valves.

[0033] It should be noted that the state determination threshold in this embodiment is determined based on the cross-validation results of historical solenoid valve operation data during the logistic regression model training process. In practical applications, it can be adjusted according to the requirements for false negative rate and false positive rate to adapt to application scenarios with different sensitivity and specificity requirements.

[0034] In step S2, the marking solenoid valve is structurally divided into regions. That is, based on the internal structure of the marking solenoid valve body, the marking solenoid valve is divided into a fixed number of regions along the direction of electromagnetic force and the movement path of the movable parts. Each region corresponds to a segment of electromagnetic force transmission path.

[0035] To limit the observation window for the pull-in and opening / closing behaviors within each region, a test time is set for each region to ensure that the collected data only covers the effective action process corresponding to the region. The start point of the test time is determined based on the relationship between the time when the marked solenoid valve receives the control signal and the time progression of the spatial position of the region, and the end point is the expected completion time of the corresponding region's action.

[0036] During the test period, the attraction displacement of the moving parts in each area during the power-on process is detected by a linear displacement sensor. The attraction displacement represents the actual physical displacement of the movable parts in the area, reflecting the effectiveness of electromagnetic force transmission and mechanical action.

[0037] Meanwhile, the opening and closing angles of each area are collected by a magnetic rotation sensor. The opening and closing angles represent the range of angle change of the rotating parts in each area from opening to closing or from closing to opening.

[0038] It should be noted that a linear displacement sensor is a detection device used to measure the displacement change of a target object in a straight line. It detects the change in position of the object by sensing the physical distance the object moves in a one-dimensional straight line. A magnetic rotation sensor is a sensor device that detects angle changes based on the principle of magnetic field change. It senses and converts the rotation state by detecting the change in the direction or magnetic flux density of the magnetic field generated by a permanent magnet set on a rotating part of the target. It is used to detect the rotation angle, angular displacement or angular velocity of the object on the rotation axis.

[0039] To measure stability during angular changes, the angular volatility of each region is further calculated based on the opening and closing angles, and is defined as follows: ; in, For angular volatility, For the first time during the test period The opening and closing angles collected at each sampling time. This represents the total number of sampling moments within the test period. This is the index value at the sampling time.

[0040] To achieve a quantitative representation of the characteristics of the action behavior, the suction displacement and angular fluctuation rate are fused and calculated, and the Euclidean distance formula is used as the fusion function. The specific calculation formula is as follows: ; in, Characteristics of actions and behaviors For the suction displacement, This is the baseline value of the suction displacement, i.e., the average suction displacement of the corresponding region in the normal sample. This is the benchmark value for angular volatility, which is the average angular volatility of the corresponding region in the normal sample.

[0041] The Euclidean distance formula normalizes the attraction displacement and angular fluctuation rate respectively, then sums the squares to form a two-dimensional Euclidean distance. The larger the calculated action behavior characteristic, the farther it deviates from the benchmark value, that is, the more abnormal the action behavior.

[0042] It should be noted that the above-mentioned normal samples are the set of samples that were determined to be in normal operating condition through step S1 and did not show any structural or performance abnormalities in subsequent operation. In each spatial region, based on the suction displacement and angular fluctuation rate of the corresponding region in the normal samples, the mean suction displacement and the mean angular fluctuation rate of the region are calculated respectively as the benchmark values ​​in the fusion calculation.

[0043] In step S3, a preset time window is defined and divided into multiple acquisition times. Within the time window, a preset reference electromagnetic force is applied to the marker solenoid valve via an electromagnet. Specifically, the preset time window is an observation period set by professionals, used to continuously collect the coil resistance value and oscillation amplitude of each area of ​​the marked solenoid valve under the condition of applying a reference electromagnetic force. The length of the time window can be set according to the detection requirements of the marked solenoid valve. The preset reference electromagnetic force is set according to actual needs or by retrieving historical data of the marked solenoid valve. Under the action of the reference electromagnetic force, the coil resistance value and oscillation amplitude of the marking solenoid valve will fluctuate over time due to the internal motion behavior and temperature changes of the marking solenoid valve. The coil resistance value and oscillation amplitude are collected within the time window. The coil resistance value of each region within the time window is detected by a coil resistance tester, and the coil resistance values ​​at each acquisition time are combined into a resistance value set. The vibration sensor detects the oscillation amplitude at each acquisition time in the area, the MAD algorithm is used to calculate the oscillation threshold, and the oscillation threshold is compared with the oscillation amplitude to determine the area of ​​abnormal oscillation. When an electromagnetic force is applied to a solenoid valve, each area will oscillate. If the oscillation amplitude during the response is small, it indicates that the structure of the marked solenoid valve area is normal. If the oscillation amplitude during the response is large, it indicates that the structure of the marked solenoid valve area is abnormal. The combination of oscillation amplitudes of each region at different acquisition times is called the amplitude set. The median of the amplitude set is recorded as the amplitude center value, and the absolute value of the difference between the oscillation amplitude and the amplitude center value is taken as the amplitude absolute difference. The median of the absolute differences of each amplitude is denoted as the median absolute deviation, and the sum of the median absolute deviation and the amplitude center value is used as the oscillation threshold. Anomaly detection was performed on the oscillation amplitude and behavioral characteristics of each region: If the oscillation amplitude is greater than the oscillation threshold, the corresponding region is judged as a high oscillation region; otherwise, the corresponding region is judged as a normal oscillation region.

[0044] Compare the behavioral characteristics with preset behavioral thresholds: If the action behavior characteristics are greater than the preset action behavior threshold, the corresponding area is determined to be the behavior deviation area; otherwise, the corresponding area is determined to be the behavior normal area.

[0045] By combining the oscillation amplitude and behavioral characteristics of the marked solenoid valve area, abnormal areas are screened: If the marked solenoid valve area simultaneously meets the criteria for both high oscillation area and behavior deviation area, then the corresponding area is an abnormal area; otherwise, the corresponding area is a normal area.

[0046] By jointly analyzing the oscillation amplitude and action behavior characteristics of the marked solenoid valve area, the oscillation state and action behavior state of each area are determined respectively. Based on the dual determination results, abnormal areas are identified, providing a criterion for subsequent implementation of differentiated electromagnetic force adjustment.

[0047] It should be noted that an electromagnet is a device that generates a magnetic field when energized, used to apply a preset reference electromagnetic force to a solenoid valve, and the generated magnetic field acts on the solenoid valve coil; a coil resistance tester is an electronic testing device used to measure the resistance value in an electrical circuit, used to detect the coil resistance value of each area of ​​the solenoid valve in real time; a vibration sensor is a sensing device that can sense the mechanical vibration of an object and convert it into an electrical signal, installed at the center of the outer surface of each area of ​​the solenoid valve to collect the oscillation amplitude; the MAD algorithm is a statistical method used to measure the degree of dispersion of data, calculating the oscillation threshold based on the oscillation amplitude of each area; the preset action behavior threshold is a judgment critical value set for the action behavior characteristics of each area of ​​the solenoid valve, specifically set by professionals based on historical data of the solenoid valve under normal operating conditions.

[0048] In step S4, the resistance fluctuation value is obtained by subtracting the maximum and minimum values ​​of the coil resistance values ​​in the set of resistance values ​​in the abnormal area. The standard fluctuation value is retrieved from the solenoid valve database, and the ratio of the standard fluctuation value to the resistance fluctuation value is used as the calibration coefficient. If the calibration coefficient is less than 1, it indicates that the coil resistance value in the abnormal area fluctuates greatly. The electromagnetic force is reduced by adjusting the calibration coefficient to avoid overloading the electromagnetic force of the marking. If the calibration coefficient is greater than or equal to 1, it indicates that the coil resistance value in the abnormal area is stable. The electromagnetic force is enhanced by adjusting the calibration coefficient to improve the response efficiency of the solenoid valve. Changes in coil resistance cause fluctuations in coil current and electromagnetic force. A calibration coefficient is calculated based on the coil resistance value, and the electromagnetic force is dynamically adjusted based on the calibration coefficient to compensate for the fluctuations in electromagnetic force caused by changes in resistance, thereby achieving stable control and performance optimization of the solenoid valve. The product of the calibration coefficient and the preset reference electromagnetic force is used as the target electromagnetic force. After applying the target electromagnetic force to the abnormal area by electromagnet, the operating status of the marked solenoid valve is detected a second time. After receiving control commands through the interactive interface, the response time and current signal of the solenoid valve are collected. The current change trend is analyzed based on the current signal, and the response time is combined with the analysis to determine whether the marked solenoid valve has returned to normal operation.

[0049] By applying a target electromagnetic force to the abnormal area, and according to the specific needs of the abnormal area, the driving force is prevented from being insufficient or excessive due to the fluctuation of the coil resistance value in the abnormal area. This enables dynamic adjustment of the abnormal area of ​​the marking solenoid valve, thereby optimizing the response efficiency of the marking solenoid valve.

[0050] It should be noted that the solenoid valve database is a data system that stores data related to solenoid valves. It is used to store information such as the structural parameters, operating characteristics and historical test data of solenoid valves. The database stores historical test data of solenoid valves of the same model and retrieves the standard fluctuation value of the normal fluctuation range of the coil resistance value of the region.

[0051] Example 2: A solenoid valve electromagnetic force testing device, such as... Figure 2 As shown, it includes a monitoring system, an interactive interface, a sensor assembly, data analysis software, an electromagnet, a coil resistance tester, a vibration sensor, and a computer control system. The functions of each device are as follows: Monitoring system: includes a timer and a Hall sensor. The timer is used to monitor the response time in real time, and the Hall sensor is used to monitor the current signal of the solenoid valve. Interactive interface: Receives control commands and displays monitoring results; Sensor assembly: includes a linear displacement sensor and a magnetic rotation sensor. The linear displacement sensor is used to measure the attraction displacement, and the magnetic rotation sensor is used to measure the opening and closing angle. Data analysis software: calculates angular volatility and comprehensively analyzes suction displacement; Electromagnet: Used to apply electromagnetic force; Coil resistance tester: used to record the coil resistance value in each area; Vibration sensor: used to measure oscillation amplitude; Computer control system: It integrates and analyzes the oscillation amplitude and motion behavior characteristics, calculates the calibration coefficient, and adjusts the electromagnetic force according to the calibration coefficient to generate the target electromagnetic force.

[0052] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0053] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and inventive constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0054] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0055] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0056] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for testing the electromagnetic force of a solenoid valve, characterized in that: Includes the following steps: Step S1: Monitor the operating status of the solenoid valve. After receiving control commands through the interactive interface, collect the response time and current signal of the solenoid valve. Analyze the current change trend based on the current signal and mark the solenoid valve in combination with the response time. Step S2: Divide the marked solenoid valve into regions, set the test time and detect the pull-in displacement and opening / closing angle of each region, calculate the angle fluctuation rate using the opening / closing angle, and analyze the action behavior characteristics by combining the pull-in displacement and angle fluctuation rate. Step S3: Apply electromagnetic force to the marked solenoid valve using an electromagnet, record the coil resistance value and oscillation amplitude of each area, combine the oscillation amplitude and action behavior characteristics to judge each area, and filter out abnormal areas based on the judgment results; Step S4: Calculate the calibration coefficient based on the coil resistance value of the abnormal area, and use the calibration coefficient to adjust the electromagnetic force to generate the target electromagnetic force in the abnormal area.

2. The method for testing the electromagnetic force of a solenoid valve according to claim 1, characterized in that: In step S1, the time interval from the moment the solenoid valve receives the control signal to the moment the solenoid valve performs the actual physical action is recorded as the response time. Within the response time, the Hall sensor detects the current signal flowing through the solenoid valve power supply circuit at a set sampling frequency and obtains the corresponding instantaneous current value to form a current sequence. The dynamic variability of current is calculated based on the second-order difference of the current sequence to quantify the trend of current change. The response time and current dynamic variability are standardized to obtain the standard response time and standard current dynamic variability.

3. The method for testing the electromagnetic force of a solenoid valve according to claim 2, characterized in that: In step S1, the standard response time and the standard current dynamic variability are used to form a two-dimensional feature vector, which is then input into the logistic regression model to output the predicted probability that the solenoid valve is in an abnormal operating state. If the predicted probability is greater than or equal to the preset state judgment threshold, the solenoid valve is judged to be in an abnormal operating state. If the predicted probability is less than the state determination threshold, the solenoid valve is determined to be in normal operating condition. The solenoid valves that are in abnormal operating condition are marked to obtain marked solenoid valves.

4. The method for testing the electromagnetic force of a solenoid valve according to claim 1, characterized in that: In step S2, based on the internal structure of the solenoid valve body, the marking solenoid valve is divided into a fixed number of regions along the direction of electromagnetic force and the movement path of the movable parts. The test time for each region is set according to the time progression relationship between the time when the marked solenoid valve receives the control signal and the spatial location of the region. During the test period, the attraction displacement of the moving components in each area during the energization process was detected by a linear displacement sensor; The opening and closing angles of each region are obtained by collecting the angular change of rotating components from opening to closing or from closing to opening in each region using a magnetic rotation sensor.

5. The method for testing the electromagnetic force of a solenoid valve according to claim 4, characterized in that: In step S2, based on the opening and closing angles, the angular volatility of each region is calculated, defined as follows: ； in, For angular volatility, For the first time during the test period The opening and closing angles collected at each sampling time. This represents the total number of sampling moments within the test period. This is the index value at the sampling time; The Euclidean distance formula is used to integrate the suction displacement and angular fluctuation rate to calculate the motion behavior characteristics.

6. The method for testing the electromagnetic force of a solenoid valve according to claim 1, characterized in that: In step S3, a preset time window is defined and divided into multiple acquisition times. Within the time window, a preset reference electromagnetic force is applied to the marker solenoid valve via an electromagnet. The coil resistance value in each region within the time window is detected by a resistance tester, and the coil resistance values ​​at each acquisition time are combined into a resistance value set. The vibration sensor detects the oscillation amplitude at each acquisition time in the area, and the MAD algorithm is used to calculate the oscillation threshold based on each oscillation amplitude.

7. The method for testing the electromagnetic force of a solenoid valve according to claim 6, characterized in that: In step S3, anomaly determinations are made for the oscillation amplitude and behavioral characteristics of each region: If the oscillation amplitude is greater than the oscillation threshold, the corresponding region is judged as a high oscillation region; otherwise, the corresponding region is judged as a normal oscillation region. If the action behavior characteristics are greater than the preset action behavior threshold, the corresponding area is determined to be the behavior deviation area; otherwise, the corresponding area is determined to be the behavior normal area.

8. The method for testing the electromagnetic force of a solenoid valve according to claim 7, characterized in that: In step S3, based on the combined judgment results of the oscillation amplitude and action behavior characteristics of the marked solenoid valve area, abnormal areas are screened: If the marked solenoid valve area simultaneously meets the criteria for both high oscillation area and behavior deviation area, then the corresponding area is judged as an abnormal area. Otherwise, the corresponding area is judged as a normal area.

9. A method for testing the electromagnetic force of a solenoid valve according to claim 8, characterized in that: In step S4, the resistance fluctuation value is obtained by subtracting the maximum and minimum values ​​of the coil resistance values ​​in the abnormal region resistance value set. The standard fluctuation value is retrieved from the solenoid valve database, and the ratio of the standard fluctuation value to the resistance fluctuation value is used as the calibration coefficient. The product of the calibration coefficient and the preset reference electromagnetic force is used as the target electromagnetic force.

10. A solenoid valve electromagnetic force testing device, used to implement the solenoid valve electromagnetic force testing method according to any one of claims 1-9, characterized in that: It includes a monitoring system, an interactive interface, a sensor assembly, data analysis software, electromagnets, a coil resistance tester, a vibration sensor, and a computer control system; Monitoring system: includes a timer and a Hall sensor. The timer is used to monitor the response time in real time, and the Hall sensor is used to monitor the current signal of the solenoid valve. Interactive interface: Receives control commands and displays monitoring results; Sensor assembly: includes a linear displacement sensor and a magnetic rotation sensor. The linear displacement sensor is used to measure the attraction displacement, and the magnetic rotation sensor is used to measure the opening and closing angle. Data analysis software: calculates angular volatility and comprehensively analyzes suction displacement; Electromagnet: Used to apply electromagnetic force; Coil resistance tester: used to record the coil resistance value in each area; Vibration sensor: used to measure oscillation amplitude; Computer control system: It integrates and analyzes the oscillation amplitude and motion behavior characteristics, calculates the calibration coefficient, and adjusts the electromagnetic force according to the calibration coefficient to generate the target electromagnetic force.

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