Electromagnetic valve maintenance method

Abstract

The invention relates to an electromagnetic valve maintenance method, which relates to the field of electromagnetic valve detection and comprises the following steps: acquiring current electromagnetic valve parameters in response to a maintenance signal; historical electromagnetic valve parameters are called to form a parameter change curve; outputting a maintenance instruction and receiving a reply signal; when the reply signal is a check operation signal, determining a parameter change characteristic based on the current electromagnetic valve parameter; simulating a future parameter change curve based on the parameter change curve and the parameter change characteristics; determining a predicted maintenance time node based on the future parameter change curve and the solenoid valve abnormal parameter critical value, and forming a maintenance signal at the predicted maintenance time node; and resetting the parameter change curve and forming a maintenance signal at a small value in the regular maintenance time node and the predicted maintenance time node. The method has the advantages that the occurrence time of the abnormal parameters is predicted based on the future parameter change curve, advanced maintenance work is performed, and the situation that maintenance is not timely due to periodic maintenance operation is avoided.

Description

Technical Field

[0001] The present invention relates to the field of electromagnetic valve detection, and in particular to a method for maintaining an electromagnetic valve. Background Art

[0002] At present, with the development of the automotive industry, the increasing demand for precise control, energy consumption optimization requirements and functional complexity of automobiles have gradually highlighted the limitations of mechanical and hydraulic control. The application of solenoid valves replacing traditional mechanical or hydraulic systems is becoming more and more extensive. As an important component in automobiles, their stability and reliability are crucial to the normal operation of automobiles.

[0003] Automotive solenoid valves, with their electromagnetic drive characteristics, perfectly align with the automotive demands for precision control, high reliability, and lightweighting, offer multiple advantages, including extremely fast response, high control accuracy, and a compact and lightweight structure, helping to reduce vehicle weight and energy consumption. They can adapt to the needs of multiple systems, including engine management, transmissions, braking, and air conditioning, and are key core components in the execution layer of automotive electrification and intelligentization.

[0004] Regarding the aforementioned technologies, solenoid valves are prone to failure over long periods of use. Traditional solenoid valve maintenance relies primarily on scheduled maintenance, which is essentially a passive response driven by experience rather than proactive prevention driven by parameters. This model is particularly prominent in precision equipment such as automobiles, leading to two core issues: over-maintenance and delayed maintenance, which seriously impacts operational costs and equipment reliability. Summary of the Invention

[0005] In order to solve the maintenance problem of traditional solenoid valves, which are mainly based on periodic maintenance, the present invention provides a solenoid valve maintenance method.

[0006] The present invention provides a solenoid valve maintenance method, which adopts the following technical solutions: A solenoid valve maintenance method, comprising: Step 1: In response to the maintenance signal, collect current solenoid valve parameters; Step 2: Retrieve historical solenoid valve parameters and form a parameter change curve with the current solenoid valve parameters; Step 3: Output the preset maintenance instruction and receive the reply signal; Step 4: determining a parameter change characteristic based on the current solenoid valve parameter when the received reply signal is a check operation signal; Step 5: performing simulation based on the parameter change curve and the parameter change characteristics to form a future parameter change curve; Step 6: Determine the next expected maintenance time node based on the future parameter change curve and the preset abnormal parameter critical value of the solenoid valve, and generate a maintenance signal at the expected maintenance time node, where the expected maintenance time node is the minimum value of all next maintenance times; Step 7: When the received reply signal is a repair operation signal, determine the type of repair anomaly; Step 8: Reset the corresponding parameter change curve based on the repair abnormality type and generate the maintenance signal at the smaller value between the preset regular maintenance time node and the expected maintenance time node.

[0007] By adopting the above technical solution, by real-time monitoring of the solenoid valve parameters and predicting future parameter change trends based on the parameter change characteristics, the maintenance time node of the solenoid valve can be accurately determined, avoiding the problem of maintenance lag in traditional regular maintenance.

[0008] Optionally, the method of outputting the maintenance instruction includes: Step 30: Monitor the car status; Step 31: Outputting the maintenance instruction when the vehicle is in a preset stop state; Step 32: searching for a parameter stability range based on the abnormal parameter when the vehicle is in a preset driving state; Step 33: Analyze the abnormal parameters and the parameter stability range to determine the importance of adjustment and the adjustment method; Step 34: When the adjustment importance exceeds a preset critical value and the adjustment method exists, the abnormal parameter is adjusted to the parameter stability range according to the adjustment method and the maintenance instruction is not issued; Step 35: issuing a preset emergency maintenance instruction when the adjustment importance exceeds the critical value but the adjustment method does not exist; Step 36: When the adjustment importance does not exceed the importance threshold, continue to monitor the vehicle state until the vehicle state is in a stopped state.

[0009] By adopting the above technical solution, different processing methods for abnormal parameters can be implemented according to the vehicle status. When the vehicle is in driving state, the abnormal parameters must be immediately adjusted to the parameter stability range to avoid driving risks caused by abnormal parameters.

[0010] Optionally, the method of adjusting the abnormal parameter to within the parameter stability range according to the adjustment method includes: Step 340: Adjust the abnormal parameter according to the adjustment method; Step 341: determining a correlation parameter category based on the abnormal parameter and monitoring the correlation parameters corresponding to the correlation parameter category; Step 342: When the abnormal parameter falls into the parameter stability range, if the associated parameter does not fall into the corresponding parameter stability range, continue to adjust the abnormal parameter; Step 343: When the abnormal parameter falls into the parameter stability range, if the associated parameter falls into the corresponding parameter stability range, then stop adjusting the abnormal parameter; Step 344: When the abnormal parameter traverses any value within the parameter stability range, if none of the associated parameters fall within the corresponding parameter stability range, output the emergency maintenance instruction.

[0011] By adopting the above technical solution, the influence of related parameters can be comprehensively considered when adjusting abnormal parameters, ensuring the rationality and effectiveness of parameter adjustment, avoiding other problems caused during the parameter adjustment process, and further improving the reliability and safety of solenoid valve maintenance.

[0012] Optionally, when the abnormal parameter traverses any value within the parameter stability range, if none of the associated parameters fall within the corresponding parameter stability range, the method of outputting the emergency maintenance instruction includes: Step 3440: determining an association relationship from a preset parameter association table based on the association parameter and the abnormal parameter, where the association relationship is a relationship between the abnormal parameter and the association parameter; Step 3441: When the association relationship is a preset unidirectional association relationship, the abnormal parameter is adjusted according to the adjustment method until it is within the parameter stability range, and the association parameter is updated to the abnormal parameter, and the abnormal parameter is defined as a second-order abnormal parameter; Step 3442: When the second-order abnormal parameter does not have a corresponding associated parameter, adjust the second-order abnormal parameter to within the corresponding parameter stable range according to the corresponding adjustment method; Step 3443: Outputting the emergency maintenance instruction when the second-order abnormal parameter has a corresponding associated parameter; Step 3444: Output the emergency maintenance instruction when the association relationship is a preset bidirectional association relationship.

[0013] By adopting the above technical solution, different processing methods can be adopted according to the correlation relationship between the associated parameters and the abnormal parameters, further refining the output logic of the maintenance instructions, improving the pertinence and effectiveness of the maintenance method, and avoiding potential failures caused by parameter correlation problems.

[0014] Optionally, another method for adjusting the associated parameters is also included, the method comprising: Step 3445: Determine the importance of association adjustment and the association adjustment method based on the association parameter and the parameter stability range corresponding to the association parameter; Step 3446: When the correlation adjustment importance does not exceed the importance threshold, adjust the abnormal parameter according to the adjustment method until the parameter falls within the stable range; Step 3447: Execute steps 340 to 344 when the association adjustment importance exceeds the importance threshold.

[0015] By adopting the above technical solution, the method of adjusting abnormal parameters can be determined according to the adjustment importance of the associated parameters, further optimizing the parameter adjustment strategy. Only when the adjustment importance meets the requirements will the data be adjusted, making the adjustment process more flexible and reasonable.

[0016] Optionally, the method further includes generating the parameter change curve based on the associated parameters corresponding to the current solenoid valve parameters when the current solenoid valve parameters cannot be acquired, the method including: Step 37: defining the current solenoid valve parameters that cannot be collected as missing solenoid valve parameters, and defining the current solenoid valve parameter characteristics corresponding to the missing solenoid valve parameters as missing solenoid valve parameter characteristics; Step 38: determining bidirectional association parameters having a preset bidirectional association relationship from a preset parameter association table based on the missing solenoid valve parameters; Step 39: generating a target correlation parameter curve based on the bidirectional correlation parameters; Step 40: generating a simulated solenoid valve parameter curve based on the target associated parameter curve and the associated relationship; Step 41 : Simulate the current solenoid valve parameter characteristics corresponding to the simulated solenoid valve parameter curve and the missing solenoid valve parameter to form the future parameter change curve and execute steps 6 to 8 .

[0017] By adopting the above technical solution, when the current solenoid valve parameters cannot be collected, the related bidirectional correlation parameters can be used to generate a simulated parameter change curve, thereby predicting the future parameter change trend and determining the expected maintenance time node, ensuring the normal implementation of the solenoid valve maintenance work when data is missing, and improving the reliability and adaptability of the maintenance method.

[0018] Optionally, the method of determining the next expected maintenance time node based on the future parameter change curve and the critical value of the abnormal parameter of the solenoid valve, and generating the maintenance signal at the expected maintenance time node includes: Step 60: obtaining the current time node when the estimated maintenance time node exists; Step 61: Calculate the remaining monitoring time based on the difference between the current time node and the expected maintenance time node; Step 62: When the remaining monitoring time is greater than a preset maximum parameter adjustment time, determining a correction time node based on a midpoint between the current time node and the expected maintenance time node; Step 63: reacquire the current time node at the revised time node and execute steps 2 to 8 at the current time node to re-determine the estimated maintenance time node; Step 64: Execute steps 61 to 63 after re-determining the estimated maintenance time node; Step 65: When the remaining monitoring time is less than the maximum parameter adjustment time, output the estimated maintenance time node, and generate the maintenance signal at the estimated maintenance time node.

[0019] By adopting this technical solution, the estimated maintenance time can be dynamically adjusted to avoid untimely or excessive maintenance due to inaccurate time predictions. By continuously comparing the remaining monitoring time with the maximum parameter adjustment time, the estimated maintenance time is corrected, ensuring that the maintenance time more accurately matches the actual condition of the solenoid valve, thereby increasing the accuracy of the estimated maintenance time.

[0020] Optionally, a method for forming the future parameter change curve by simulation based on the parameter change curve and the parameter change characteristic is further included, the method comprising: Step 66: Determine a parameter change stabilization point based on the current solenoid valve parameter and a parameter change characteristic corresponding to the current solenoid valve parameter; Step 67: When the parameter change stable point does not fall on the parameter change curve, predicting the occurrence time of the parameter change stable point based on the parameter change characteristics and the parameter change curve; Step 68: When the parameter change stable point appears, re-collect the current solenoid valve parameters and generate the parameter change curve and execute steps 66 to 68; Step 69: When the parameter change stable point falls on the parameter change curve, simulation is performed based on the parameter change curve and the parameter change characteristics to form the future parameter change curve.

[0021] By adopting the above technical solution, it is determined that the current parameter has stabilized based on whether the parameter change stability point falls on the parameter change curve. Only then can the future parameter change curve be generated to ensure the prediction accuracy of the future parameter change curve.

[0022] Optionally, the method further includes a method for verifying that the reply signal received at the expected maintenance time node is the inspection operation signal, the method comprising: Step 70: accumulating the number of verification failures when the received reply signal is the check operation signal; Step 71: when the number of verification failures reaches a preset maximum verification failure number threshold, searching for the maximum parameter adjustment time corresponding to the current solenoid valve parameter; Step 72: Calculate a corrected maximum parameter adjustment time based on the maximum parameter adjustment time corresponding to the current solenoid valve parameter and a preset single adjustment amount, and update the corrected maximum parameter adjustment time to the maximum parameter adjustment time.

[0023] By adopting the above technical solution, when the number of verification failures reaches a critical value, the maximum parameter adjustment time is adjusted to avoid untimely maintenance due to inaccurate time prediction, so that the maintenance time is more accurately in line with the actual status of the solenoid valve, further optimizing the maintenance process.

[0024] Optionally, a method for adjusting the parameter stability range and the critical value of the abnormal parameter of the solenoid valve is further included, the method comprising: Step 73: Acquire environmental parameters in real time; Step 74: Obtaining an environmental parameter deviation based on the difference between the environmental parameter and a preset standard environmental parameter; Step 75: searching a preset environmental parameter mapping table for a parameter stability range and a solenoid valve abnormal parameter critical value corresponding to the environmental parameter deviation based on the environmental parameter deviation, and defining them as a corrected parameter stability range and a corrected solenoid valve abnormal parameter critical value; Step 76: Re-determine the parameter stability range and the solenoid valve abnormal parameter critical value based on the corrected parameter stability range and the corrected solenoid valve abnormal parameter critical value.

[0025] By adopting the above technical solution, the parameter stability range is dynamically adjusted according to the changes in environmental parameters, so that the parameter stability range is more in line with the actual environmental conditions, the operating stability and reliability of the solenoid valve in different environments are improved, and the adaptability of the maintenance method to different working conditions is further enhanced.

[0026] In summary, the present invention includes at least one of the following beneficial technical effects: By collecting current solenoid valve parameters and retrieving historical parameters to form a parameter change curve, and based on this, simulating future parameter changes, the occurrence time of solenoid valve abnormal conditions can be predicted and maintenance can be carried out in advance; When there are abnormal parameters, adjust the abnormal parameters according to the parameter association table to accurately avoid the chain reaction of abnormalities in the corresponding associated parameters during the adjustment process; By comparing the remaining monitoring time with the maximum parameter adjustment time, the estimated maintenance time node is adjusted and corrected, so that the maintenance time more accurately matches the actual status of the solenoid valve. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart of a solenoid valve maintenance method in an embodiment of the present application; Figure 2 is a flowchart of a method for outputting maintenance instructions in an embodiment of the present application; Figure 3 This is a flow chart of a method for adjusting abnormal parameters to within a stable parameter range according to an adjustment method in an embodiment of the present application; Figure 4 This is a flow chart of a method for determining the next expected maintenance time node based on a future parameter change curve and a critical value of an abnormal parameter of a solenoid valve, and generating a maintenance signal at the expected maintenance time node, in an embodiment of the present application; Figure 5 is a schematic diagram of the parameter change curve in the embodiment of the present application and the future parameter change curve; Figure 6 It is a flowchart of a verification method in an embodiment of the present application, which also includes a response signal received at an estimated maintenance time node being a check operation signal. DETAILED DESCRIPTION

[0028] The present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0029] The embodiment of the present invention discloses a solenoid valve maintenance method. Figure 1 , a solenoid valve maintenance method includes: Step 1: In response to the maintenance signal, collect current solenoid valve parameters.

[0030] A maintenance signal is a signal generated when a preset periodic collection time node is reached, which is used to trigger the collection of the current solenoid valve parameters. A periodic collection time node is a pre-set time point determined at a certain time interval for collecting the current solenoid valve parameters. For example, it can be set to collect the current solenoid valve parameters once every five minutes. This time interval can be flexibly adjusted according to actual conditions. The current solenoid valve parameters refer to the various performance indicators and status data displayed during the operation of the solenoid valve at the current moment, such as pressure, flow, temperature, voltage, current and other parameters. These parameters are monitored in real time through the solenoid valve's built-in sensors or other detection devices, and can directly reflect the solenoid valve's current working condition and performance status. When the time reaches these pre-set periodic collection time nodes, the system will automatically generate a maintenance signal, thereby triggering the operation of collecting the current solenoid valve parameters.

[0031] Step 2: Retrieve historical solenoid valve parameters and form a parameter change curve with the current solenoid valve parameters.

[0032] Historical solenoid valve parameters refer to the various performance indicators and status data recorded during the solenoid valve's past operation. Whenever the current solenoid valve parameters are collected, the time of collection is recorded. The current solenoid valve parameters and the time of collection are recorded in the historical solenoid valve parameters. When the amount of data exceeds the maximum capacity of the historical solenoid valve parameters, the oldest data is overwritten. A parameter change curve is a graph formed by comparing the current solenoid valve parameters with historical solenoid valve parameters, with time as the horizontal axis and the current solenoid valve parameters as the vertical axis, connecting the parameter values ​​corresponding to each time point. This parameter change curve can intuitively reflect the changing trends of the solenoid valve parameters over time, providing a data foundation for subsequent simulations of future parameter changes.

[0033] Step 3: Output the preset maintenance command and receive a response signal.

[0034] The maintenance command is used to confirm whether the current solenoid valve parameters are abnormal. The reply signal is used to return the signal whether the current solenoid valve parameters are abnormal.

[0035] Step 4: When the received response signal is a check operation signal, a parameter change characteristic is determined based on the current solenoid valve parameters.

[0036] The check operation signal is a command signal that analyzes the parameter variation characteristics corresponding to the current solenoid valve parameters. Parameter variation characteristics refer to the time-varying rate and fluctuation amplitude of the current solenoid valve parameters, determined in advance through multiple experiments. These characteristics can further reveal the variation patterns of the solenoid valve parameters. If the received response signal is a check operation signal, it indicates that the current solenoid valve parameters are not abnormal. Further analysis of the parameter variation characteristics is necessary to provide a basis for simulating future parameter variation curves in subsequent processes.

[0037] Step 5: Perform simulation based on the parameter change curve and the parameter change characteristics to form a future parameter change curve.

[0038] The future parameter change curve refers to a curve that simulates the change trend of the current solenoid valve parameters and predicts the parameter status of the solenoid valve in the future. The future parameter change curve can be used to predict the future change path of the solenoid valve parameters, so as to understand the operating status of the solenoid valve in advance. The specific method of simulating to form the future parameter change curve is based on the rate of change of the current solenoid valve parameters over time in the parameter change characteristics and the change trend of the current solenoid valve parameters in the parameter change curve. For example, the current solenoid valve parameter E is at an X value. The parameter change curve is used to determine whether E shows a decreasing or increasing or regular fluctuation trend. The future parameter change curve is simulated in combination with the rate of change of the solenoid valve parameters over time in the parameter change characteristics. The above parameter change curve is only a change curve in which the fluctuation amplitude does not fluctuate greatly in a stable state. The stability of the parameter change curve is determined by the parameter change stabilization point. The parameter change stabilization point is determined based on the fluctuation amplitude in the parameter change characteristics and will be introduced in the subsequent process. It will not be elaborated here.

[0039] Step 6: Determine the next expected maintenance time node based on the future parameter change curve and the preset critical value of the abnormal parameter of the solenoid valve, and generate a maintenance signal at the expected maintenance time node.

[0040] The critical value of the abnormal parameter of the solenoid valve refers to the upper or lower limit of the parameter that the solenoid valve can tolerate during normal operation. Once the critical value is exceeded, the solenoid valve may malfunction or performance degradation. The expected maintenance time node refers to the time point at which the solenoid valve parameters are predicted to exceed the critical value of the abnormal parameter based on the future parameter change curve. By comparing the future parameter change curve with the critical value of the abnormal parameter of the solenoid valve, it is possible to predict when the solenoid valve parameters will exceed the normal range, thereby determining the expected maintenance time node. This expected maintenance time node is the minimum value of all predicted future maintenance time points, that is, the earliest time point when an abnormality may occur. Because the solenoid valve parameter is not just one parameter, each parameter has a different expected maintenance time node, so the earliest time point when an abnormality may occur should be selected as the expected maintenance time node.

[0041] Step 7: When the received reply signal is a repair operation signal, determine the type of repair anomaly.

[0042] The repair operation signal refers to an instruction signal that requires a repair operation when the current solenoid valve parameters exceed the critical value of the solenoid valve abnormal parameters. The type of repair abnormality refers to the type of fault determined based on the abnormal performance of the current solenoid valve parameters, such as blockage, leakage, circuit failure, etc., which is determined by searching the preset abnormal parameter mapping table when the current solenoid valve parameters exceed the critical value of the solenoid valve abnormal parameters. The abnormal parameter mapping table refers to a preset mapping relationship table of various abnormal parameters of the solenoid valve and the corresponding fault types. When it is monitored that the current solenoid valve parameters exceed the critical value of the abnormal parameters, the specific fault type can be determined by searching the mapping table. When the received reply signal is a repair operation signal, it means that the current solenoid valve parameters have become abnormal, and it is necessary to judge the fault type based on the specific abnormal parameters so that corresponding repair measures can be taken.

[0043] Step 8: Reset the corresponding parameter change curve based on the type of repair anomaly and generate a maintenance signal when the smaller value is between the preset regular maintenance time node and the expected maintenance time node.

[0044] The regular maintenance time node refers to the time point for maintaining the solenoid valve determined according to a pre-set, fixed time interval. For example, it can be set to perform maintenance once a week. After determining the type of repair anomaly, it is necessary to reset the corresponding parameter change curve to regenerate the future parameter change curve to predict the time when the solenoid valve parameter anomaly occurs. At the same time, it is necessary to compare the preset regular maintenance time node and the expected maintenance time node, and select the earlier time point as the next maintenance time node to avoid the problem of untimely maintenance at the regular maintenance time node or the expected maintenance time node, and generate a maintenance signal at the next maintenance time node to trigger the maintenance operation to ensure that the solenoid valve is maintained and repaired in time before an abnormal state occurs, avoid the occurrence of faults, and improve the operating stability and reliability of the solenoid valve.

[0045] Reference Figure 2 , the method of outputting maintenance instructions includes: Step 30: Monitor the car status.

[0046] The vehicle status refers to the real-time status of the vehicle, which is specifically divided into a stopped state and a moving state. The real-time status of the vehicle is determined by monitoring the tire status of the vehicle through preset sensors.

[0047] Step 31: Output a maintenance instruction when the vehicle is in a preset stop state.

[0048] The stopped state refers to a vehicle that is stationary but not turned off. When the vehicle is stopped, it indicates a relatively safe and stable state. This is an ideal state for setting maintenance instructions to predict when solenoid valve parameter anomalies may occur. Therefore, maintenance instructions are issued in this state.

[0049] Step 32: When the vehicle is in a preset driving state, searching for a parameter stability range based on the abnormal parameters.

[0050] The driving state refers to the vehicle's dynamic state. In this state, the impact of abnormal parameters is amplified and may even affect the driver's safety. Therefore, a completely different approach is taken compared to the stopped state. Abnormal parameters refer to solenoid valve parameters that exceed the critical value for abnormal solenoid valve parameters or are not within the parameter stability range. The parameter stability range refers to the range of fluctuations that the solenoid valve parameters can tolerate during normal operation, that is, the vehicle's driving state. When the vehicle is in motion, the solenoid valve parameters may fluctuate due to changes in the external environment and internal operating conditions. In this case, the system monitors whether the current solenoid valve parameters exceed the preset parameter stability range to determine whether any abnormal parameters exist.

[0051] Step 33: Analyze abnormal parameters and parameter stability range to determine the importance of adjustment and the adjustment method.

[0052] Adjustment importance refers to the urgency and priority of adjusting solenoid valve parameters. Adjustment methods refer to the adjustment measures and methods used for different types of abnormal parameters and different parameter stability ranges. Based on the nature and cause of the abnormal parameter, the system will select the appropriate adjustment method, such as adjusting the solenoid valve's operating voltage and current, or changing the fluid's pressure and temperature.

[0053] Step 34: When the adjustment importance exceeds a preset critical value and an adjustment method exists, the abnormal parameter is adjusted to a stable range according to the adjustment method and no maintenance instruction is issued.

[0054] The critical threshold is the threshold used to determine the urgency of adjusting an abnormal parameter. When the criticality of adjusting an abnormal parameter exceeds this threshold, it indicates that the abnormal parameter is significantly impacting the vehicle's driving conditions and requires immediate adjustment. At this point, the system checks whether an effective adjustment method exists. If so, it immediately adjusts the abnormal parameter according to the preset method, restoring it to the stable parameter range to prevent further damage to the solenoid valve or impact on normal vehicle operation. Furthermore, since timely adjustment measures have already been taken, no immediate maintenance instruction will be issued. Instead, the system will continue to monitor the solenoid valve's status to ensure stable operation.

[0055] Step 35: When the adjustment importance exceeds the critical value but the adjustment method does not exist, a preset emergency maintenance instruction is issued.

[0056] An emergency maintenance command is used to trigger immediate emergency maintenance on a solenoid valve. When the adjustment importance of an abnormal parameter exceeds the critical threshold, indicating a significant impact on the vehicle's operating conditions and requiring immediate adjustment, but the system cannot identify an effective method, the system will immediately issue an emergency maintenance command to ensure safe vehicle operation, prompting the driver or maintenance personnel to inspect and maintain the solenoid valve immediately to prevent potential failures or accidents.

[0057] Step 36: When the adjusted importance does not exceed the importance threshold, continue to monitor the vehicle state until the vehicle state is in a stopped state.

[0058] When the adjustment importance does not exceed the critical value, it means that the current abnormal parameters have little impact on the vehicle's driving state. It is not necessary to make adjustments for the time being. Instead, continue to monitor the vehicle state and changes in the solenoid valve parameters until the vehicle stops and execute the abnormal handling method under the stopped state.

[0059] Reference Figure 3 ,The methods for adjusting abnormal parameters to within the parameter stability range according to the ,adjustment method include: Step 340: Adjust the abnormal parameters according to the adjustment method.

[0060] Step 341: Determine the associated parameter category based on the abnormal parameter and monitor the associated parameters corresponding to the associated parameter category.

[0061] The associated parameter category refers to the parameter category that has an associated relationship with the abnormal parameter. For example, when adjusting the working pressure of the solenoid valve, it may affect the associated parameters such as flow rate and temperature. The associated relationship is specifically divided into one-way and two-way associations, which will be introduced in the subsequent process and will not be described in detail here. The associated parameter category uses the preset parameter association table to find the associated parameter category corresponding to the abnormal parameter. The parameter association table will be introduced in the subsequent process and will not be described in detail here. The associated parameter refers to the parameter in the associated parameter category corresponding to the abnormal parameter. Because the change of the associated parameter may be affected by the adjustment of the abnormal parameter, or reflect the operating status of the solenoid valve together with the abnormal parameter. While adjusting the abnormal parameters, the system will monitor the changes of these associated parameters in real time to ensure that the adjustment process does not adversely affect the overall performance of the solenoid valve.

[0062] Step 342: When the abnormal parameter falls into the parameter stability range, if the associated parameter does not fall into the corresponding parameter stability range, continue to adjust the abnormal parameter.

[0063] When the abnormal parameter falls into the parameter stability range, if the associated parameter does not fall into the corresponding parameter stability range, it means that the process of adjusting the abnormal parameter has caused the associated parameter to become an abnormal parameter. Therefore, the abnormal parameter should be further adjusted within the parameter stability range corresponding to the abnormal parameter to find a point that can make both the abnormal parameter and the associated parameter fall into the parameter stability range.

[0064] Step 343: When the abnormal parameter falls into the parameter stability range, if the associated parameter falls into the corresponding parameter stability range, then stop adjusting the abnormal parameter.

[0065] When the abnormal parameter falls into the parameter stability range, if the associated parameter falls into the corresponding parameter stability range, it means that the adjusted abnormal parameter and the associated parameter are both within the stable range, and no further adjustment is required.

[0066] Step 344: When the abnormal parameter traverses any value within the parameter stability range, if none of the associated parameters fall within the corresponding parameter stability range, output an emergency maintenance instruction.

[0067] If an abnormal parameter passes through any value within the parameter stability range and none of the associated parameters fall within the corresponding parameter stability range, this indicates that the adjustment of the abnormal parameter has exceeded the adjustment capacity. It is impossible to ensure that both the abnormal parameter and the associated parameters fall within their respective parameter stability ranges within the parameter stability range corresponding to the abnormal parameter. In this case, the emergency maintenance instruction is issued to remind the driver to take immediate action, such as stopping the vehicle, to prevent unnecessary accidents caused by the abnormal parameter.

[0068] Among them, when the abnormal parameter traverses any value within the parameter stability range, if the associated parameters do not fall within the corresponding parameter stability range, the method of outputting the emergency maintenance instruction includes: Step 3440: Determine an association relationship from a preset parameter association table based on the association parameter and the abnormal parameter, where the association relationship is the relationship between the abnormal parameter and the association parameter.

[0069] The parameter association table stores information about the associated solenoid valve parameters corresponding to various solenoid valve parameters and the interplay between them. This table can be used to determine whether abnormal parameters and associated parameters have a bidirectional, mutually influencing relationship or a unidirectional, passive, relationship. For example, a unidirectional relationship can affect the electromagnetic force in a solenoid valve by adjusting the power supply voltage, but adjusting the electromagnetic force does not affect the power supply voltage.

[0070] Step 3441: When the association relationship is a preset unidirectional association relationship, the abnormal parameter is adjusted according to the adjustment method until the parameter is within the parameter stability range, and the association parameter is updated to the abnormal parameter, and the abnormal parameter is defined as a second-order abnormal parameter.

[0071] A one-way association relationship is one in which an abnormal parameter can affect an associated parameter, but an associated parameter cannot affect the abnormal parameter. A second-order abnormal parameter is an abnormal parameter that is converted from the associated parameter corresponding to the abnormal parameter after the abnormal parameter is adjusted.

[0072] Step 3442: When there is no corresponding associated parameter for the second-order abnormal parameter, adjust the second-order abnormal parameter to be within the corresponding parameter stable range according to the corresponding adjustment method.

[0073] When there is no corresponding associated parameter for the second-order abnormal parameter, it means that there is no corresponding parameter affected by the second-order abnormal parameter. Therefore, the second-order abnormal parameter can be adjusted to be within the corresponding parameter stable range.

[0074] Step 3443: Output an emergency maintenance instruction when the second-order abnormal parameter has a corresponding associated parameter.

[0075] When a second-order abnormal parameter has a corresponding associated parameter, it means that the process of adjusting the second-order parameter will cause the associated parameter to change, and new second-order abnormal parameters may appear. Then, new second-order abnormal parameters may still appear in the subsequent adjustment process. At this time, the chain reaction caused by this can no longer be solved by parameter adjustment. Therefore, an emergency maintenance instruction must be output.

[0076] Step 3444: Output an emergency maintenance instruction when the association relationship is a preset bidirectional association relationship.

[0077] A bidirectional relationship means that an abnormal parameter and its associated parameter affect each other. Adjusting one parameter will also change the value of the other. A bidirectional relationship means that adjusting the abnormal parameter will inevitably cause the associated parameter to become a new abnormal parameter. In this case, adjusting the parameter to resolve the abnormal parameter issue is not feasible, so an emergency maintenance instruction is issued.

[0078] There is also another method for adjusting the associated parameters, which includes: Step 3445: Determine the importance of association adjustment and the association adjustment method based on the association parameter and the parameter stability range corresponding to the association parameter.

[0079] The importance of correlation adjustment refers to the urgency and priority of adjusting correlation parameters. The correlation adjustment method refers to the adjustment measures and methods taken for different types of correlation parameters and different parameter stability ranges.

[0080] Step 3446: When the correlation adjustment importance does not exceed the critical value, the abnormal parameter is adjusted according to the adjustment method until the parameter is within the stable range.

[0081] When the importance of the associated adjustment does not exceed the main critical value, it means that the change of the current associated parameter has little impact on the overall impact of the solenoid valve. In this case, even if the abnormal parameter is adjusted to the parameter stability range corresponding to the abnormal parameter, there is no need to worry about whether the associated parameter will become an abnormal parameter.

[0082] Step 3447: Execute steps 340 to 344 when the associated adjustment importance exceeds the importance threshold.

[0083] When the importance of the associated adjustment exceeds the important critical value, it means that the change of the current associated parameters has a greater impact on the overall influence of the solenoid valve, which may easily cause the car to lose control while driving. Therefore, steps 340 to 344 are executed to adjust the abnormal parameters and the associated parameters corresponding to the abnormal parameters to fall within the corresponding parameter stability range or output emergency maintenance instructions.

[0084] The method also includes a method for generating a parameter change curve based on associated parameters corresponding to the current solenoid valve parameters when the current solenoid valve parameters cannot be collected. The method includes: Step 37: defining the current solenoid valve parameters that cannot be collected as missing solenoid valve parameters, and defining the current solenoid valve parameter characteristics corresponding to the missing solenoid valve parameters as missing solenoid valve parameter characteristics.

[0085] Missing solenoid valve parameters refer to solenoid valve parameters that cannot be collected in real time due to a faulty sensor. Missing solenoid valve parameter characteristics refer to the solenoid valve parameter characteristics corresponding to the missing solenoid valve parameters. Defining missing solenoid valve parameters facilitates subsequent operations.

[0086] Step 38: Determine bidirectional association parameters whose association is a preset bidirectional association from a preset parameter association table based on the missing solenoid valve parameters.

[0087] Bidirectionally associated parameters are parameters that are bidirectionally associated with missing solenoid valve parameters. They are determined by searching the missing solenoid valve parameter and the corresponding bidirectionally associated parameter in the parameter association table.

[0088] Step 39: Generate a target correlation parameter curve based on the bidirectional correlation parameters.

[0089] The target correlation parameter curve is a parameter change curve generated based on historical data or a preset correlation model for bidirectional correlation parameters. Because the missing solenoid valve parameters and the bidirectional correlation parameters influence each other, the likely changes in the missing solenoid valve parameters can be inferred by analyzing the changing trends of the bidirectional correlation parameters, thereby generating a target correlation parameter curve. This curve can reflect the general trend of the missing solenoid valve parameters and provide a reference for subsequent parameter prediction and maintenance.

[0090] Step 40: Generate a simulated solenoid valve parameter curve based on the target associated parameter curve and the associated relationship.

[0091] The simulated solenoid valve parameter curve simulates the changing trends of missing solenoid valve parameters based on the target associated parameter curve and known associations, using a preset historical parameter database. When parameter A and parameter A in the historical parameter database both have the value X, the corresponding associated parameter B value in the historical parameter database is searched for to simulate and form a complete simulated solenoid valve parameter curve. The simulated solenoid valve parameter curve can reflect the current solenoid valve operating status in real time, providing more accurate and comprehensive data support for solenoid valve maintenance and fault prediction.

[0092] Step 41: Simulate the current solenoid valve parameter characteristics corresponding to the simulated solenoid valve parameter curve and the missing solenoid valve parameters to form a future parameter change curve and execute steps 6 to 8.

[0093] If a simulated solenoid valve parameter curve exists, it indicates that the simulated solenoid valve parameter curve can be used to predict future solenoid valve parameter change trends. Based on this prediction, steps 6 to 8 can be executed to determine the estimated maintenance time node based on the predicted parameter changes, ensuring that the solenoid valve can be maintained in advance before abnormal parameters occur.

[0094] Reference Figure 4 The method of determining the next expected maintenance time node based on the future parameter change curve and the critical value of the abnormal parameter of the solenoid valve, and generating a maintenance signal at the expected maintenance time node includes: Step 60: When there is an estimated maintenance time node, obtain the current time node.

[0095] The current time node refers to the current specific time. When there is a scheduled maintenance time node, it means that the future parameter change curve has predicted the time when the solenoid valve may malfunction in the future. At this time, the current time is obtained based on the preset clock device to determine the distance from the current time to the possible malfunction time before subsequent operations are carried out.

[0096] Step 61: Calculate the remaining monitoring time based on the difference between the current time node and the expected maintenance time node.

[0097] The remaining monitoring time is the length of time required to monitor from the current time point to the estimated maintenance time point. This remaining monitoring time can be used to understand the degree of deviation between the future parameter change curve and the future solenoid valve status. The longer the remaining monitoring time, the less accurate the estimated maintenance time point.

[0098] Step 62: When the remaining monitoring time is greater than the preset maximum parameter adjustment time, a correction time node is determined based on the midpoint between the current time node and the expected maintenance time node.

[0099] The maximum parameter adjustment time is used to determine whether the remaining monitoring time meets the estimated maintenance time node for generating the minimum accuracy requirement. The correction time node is the midpoint between the current time node and the estimated maintenance time node. This is used to subsequently re-acquire the current time to reduce the remaining monitoring time. If the remaining monitoring time is greater than the maximum parameter adjustment time, it indicates that the current estimated maintenance time node is too inaccurate. Therefore, a correction time node is determined based on the midpoint between the current time node and the estimated maintenance time node for subsequent steps.

[0100] Step 63: Re-acquire the current time node at the revised time node and re-collect the current solenoid valve parameters at the current time node to execute steps 2 to 8 to re-determine the estimated maintenance time node.

[0101] When there is a correction time node, it means that the remaining monitoring time is too long and does not meet the accuracy of the expected maintenance time. Therefore, it is necessary to re-acquire the current time node when correcting the time node, and collect the current solenoid valve parameters based on the current time node to re-determine the expected maintenance time node for subsequent operations.

[0102] Step 64: Execute steps 61 to 63 after re-determining the estimated maintenance time node.

[0103] When there is an expected maintenance time, it means that there is an expected occurrence time of abnormal parameters. Then you can re-execute steps 61 to 63 to obtain the remaining monitoring time and judge whether the remaining monitoring time reaches the requirements within the maximum parameter adjustment time to meet the accuracy of the expected maintenance time until the remaining monitoring time is less than the maximum parameter adjustment time.

[0104] Step 65: When the remaining monitoring time is less than the maximum parameter adjustment time, output an estimated maintenance time node, and generate a maintenance signal at the estimated maintenance time node.

[0105] When the remaining monitoring time is less than the maximum parameter adjustment time, it means that the remaining monitoring time meets the requirements. At this time, the accuracy of the estimated maintenance time node is high, and the operation of re-obtaining the remaining monitoring time and comparing it with the maximum parameter adjustment time can be stopped.

[0106] The method further includes a method for forming a future parameter change curve by simulating based on the parameter change curve and the parameter change characteristics, the method comprising: Step 66: Determine a parameter change stabilization point based on the current solenoid valve parameters and the parameter change characteristics corresponding to the current solenoid valve parameters.

[0107] Reference Figure 5The parameter change stabilization point refers to the numerical point where the parameter change of the solenoid valve parameter tends to be stable after passing a specific point in the change process. The parameter change characteristics corresponding to each parameter of the solenoid valve are used to determine the trend and law of the solenoid valve parameter in the change process, thereby determining the parameter change stabilization point corresponding to each parameter.

[0108] Step 67: When the parameter change stable point does not fall on the parameter change curve, predict the occurrence time of the parameter change stable point based on the parameter change characteristics and the parameter change curve.

[0109] When the parameter change stabilization point does not fall on the parameter change curve, it means that the current parameter change curve trend is not stable enough, and the future parameter change curve cannot be simulated in the subsequent process. Therefore, the time of occurrence of the change stabilization point should be predicted based on the parameter change characteristics and the parameter change curve.

[0110] Step 68: When the parameter change stable point appears, re-collect the current solenoid valve parameters and generate a parameter change curve and execute steps 66 to 68.

[0111] When the parameter stable point appears, it means that the current solenoid valve parameters may have stabilized. The parameter change curve can be regenerated and steps 66 to 68 are executed to repeatedly monitor whether the parameter change stable point falls on the parameter change curve until the parameter change stable point falls on the parameter change curve and then repeat steps 66 to 68.

[0112] Step 69: When the parameter change stable point falls on the parameter change curve, simulation is performed based on the parameter change curve and the parameter change characteristics to form a future parameter change curve.

[0113] When the parameter change stabilization point falls on the parameter change curve, it indicates that the parameter change has become stable and the future parameter change curve can be simulated based on the parameter change curve and parameter change characteristics.

[0114] Reference Figure 6 , further comprising a method for verifying that the reply signal received at the expected maintenance time node is a check operation signal, the method comprising: Step 70: Accumulate the number of verification failures when the received reply signal is a check operation signal.

[0115] Verification failure counts are the cumulative number of failures when no abnormal parameters are present at the estimated maintenance time. If the received response signal is a check operation signal, it indicates that no abnormal parameters are present, and therefore the estimated maintenance time is incorrectly predicted, and the verification failure count is accumulated.

[0116] Step 71: When the number of verification failures reaches a preset maximum verification failure threshold, searching for the maximum parameter adjustment time corresponding to the current solenoid valve parameters.

[0117] The maximum verification failure threshold is a preset number used to determine whether the estimated maintenance time has been incorrectly determined multiple times. If the number of verification failures reaches this threshold, it indicates that the estimated maintenance time has been incorrectly determined multiple times, and the maximum parameter adjustment time corresponding to the current solenoid valve parameters needs to be reassessed.

[0118] Step 72: Calculate the corrected maximum parameter adjustment time based on the maximum parameter adjustment time corresponding to the current solenoid valve parameter and the preset single adjustment amount, and update the corrected maximum parameter adjustment time to the maximum parameter adjustment time.

[0119] The single adjustment amount refers to the manually preset adjustment amount corresponding to the maximum parameter adjustment time. The revised maximum parameter adjustment time is a shortened version of the maximum parameter adjustment time, obtained by subtracting the maximum parameter adjustment time from the single adjustment amount. A smaller maximum parameter adjustment time will produce a prediction closer to the actual operating state of the solenoid valve. Conversely, this will increase the number of maintenance time nodes predicted based on the future parameter change curve. The presence of a revised maximum parameter adjustment time indicates that the current maximum parameter adjustment time cannot accurately predict the maintenance time node, so the revised maximum parameter adjustment time must replace the original maximum parameter adjustment time.

[0120] The method also includes a method for adjusting the parameter stability range and the critical value of the abnormal parameter of the solenoid valve, which includes: Step 73: Acquire environmental parameters in real time.

[0121] Environmental parameters refer to parameters such as temperature and humidity corresponding to the environment in which the solenoid valve is located, which are collected by preset sensors. These parameters will affect the working state and parameter stability of the solenoid valve.

[0122] Step 74: Subtract the environmental parameter from the preset standard environmental parameter to obtain an environmental parameter deviation.

[0123] Standard environmental parameters refer to the environmental parameters corresponding to the preset solenoid valve abnormal parameter thresholds. Environmental parameter deviations are calculated by subtracting the currently acquired environmental parameters from the standard environmental parameters. Because solenoid valve parameters are affected by environmental parameters, the corresponding parameter stability range and solenoid valve abnormal parameter thresholds must be modified when environmental parameters change.

[0124] Step 75: Based on the environmental parameter deviation, search for the parameter stability range and electromagnetic valve abnormal parameter critical value corresponding to the environmental parameter deviation in the preset environmental parameter mapping table and define them as the corrected parameter stability range and the corrected electromagnetic valve abnormal parameter critical value.

[0125] The environmental parameter mapping table is a preset table that stores the correspondence between environmental parameter deviations, corresponding parameter stability ranges, and solenoid valve abnormal parameter critical values. The corrected parameter stability range refers to the parameter stability range corresponding to the environmental parameter mapping table. The corrected solenoid valve abnormal parameter critical value is obtained in a similar manner to the corrected parameter stability range and is not detailed here. By searching the environmental parameter mapping table, you can quickly obtain the corrected parameter stability range and solenoid valve abnormal parameter critical value corresponding to the current environmental parameter deviation, thereby adapting to the impact of environmental changes on solenoid valve parameters.

[0126] Step 76: Re-determine the parameter stable range and the abnormal parameter critical value based on the corrected parameter stable range and the corrected solenoid valve abnormal parameter critical value.

[0127] When there is a stable range of correction parameters, it means that the environmental parameters have changed. At this time, in order to ensure the accuracy of judging abnormal parameters, it is necessary to judge whether the parameters are stable based on the stable range of correction parameters when the car is in driving state.

[0128] When there is a critical value of the correction abnormality parameter, similar to the above-mentioned correction parameter stability range, it is necessary to judge whether the parameter is stable based on the critical value of the correction abnormality parameter when the car is in a stopped state.

[0129] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A solenoid valve maintenance method, characterized in that: include: Step 1: In response to the maintenance signal, collect current solenoid valve parameters; Step 2: Retrieve historical solenoid valve parameters and form a parameter change curve with the current solenoid valve parameters; Step 3: Output the preset maintenance instruction and receive the reply signal; Step 4: determining a parameter change characteristic based on the current solenoid valve parameter when the received reply signal is a check operation signal; Step 5: performing simulation based on the parameter change curve and the parameter change characteristics to form a future parameter change curve; Step 6: Determine the next expected maintenance time node based on the future parameter change curve and the preset abnormal parameter critical value of the solenoid valve, and generate a maintenance signal at the expected maintenance time node, where the expected maintenance time node is the minimum value of all next maintenance times; Step 7: When the received reply signal is a repair operation signal, determine the type of repair anomaly; Step 8: Reset the corresponding parameter change curve based on the repair abnormality type and generate the maintenance signal at the smaller value between the preset regular maintenance time node and the expected maintenance time node.

2. A solenoid valve maintenance method according to claim 1, characterized in that: The method of outputting the maintenance instruction includes: Step 30: Monitor the car status; Step 31: Outputting the maintenance instruction when the vehicle is in a preset stop state; Step 32: searching for a parameter stability range based on the abnormal parameter when the vehicle is in a preset driving state; Step 33: Analyze the abnormal parameters and the parameter stability range to determine the importance of adjustment and the adjustment method; Step 34: When the adjustment importance exceeds a preset critical value and the adjustment method exists, the abnormal parameter is adjusted to the parameter stability range according to the adjustment method and the maintenance instruction is not issued; Step 35: issuing a preset emergency maintenance instruction when the adjustment importance exceeds the critical value but the adjustment method does not exist; Step 36: When the adjustment importance does not exceed the importance threshold, continue to monitor the vehicle state until the vehicle state is in a stopped state.

3. A solenoid valve maintenance method according to claim 2, characterized in that: The method for adjusting the abnormal parameter to within the parameter stability range according to the adjustment method includes: Step 340: Adjust the abnormal parameter according to the adjustment method; Step 341: determining a correlation parameter category based on the abnormal parameter and monitoring the correlation parameters corresponding to the correlation parameter category; Step 342: When the abnormal parameter falls into the parameter stability range, if the associated parameter does not fall into the corresponding parameter stability range, continue to adjust the abnormal parameter; Step 343: When the abnormal parameter falls into the parameter stability range, if the associated parameter falls into the corresponding parameter stability range, then stop adjusting the abnormal parameter; Step 344: When the abnormal parameter traverses any value within the parameter stability range, if none of the associated parameters fall within the corresponding parameter stability range, output the emergency maintenance instruction.

4. A solenoid valve maintenance method according to claim 3, characterized in that: When the abnormal parameter traverses any value within the parameter stability range, if none of the associated parameters fall within the corresponding parameter stability range, the method for outputting the emergency maintenance instruction includes: Step 3440: determining an association relationship from a preset parameter association table based on the association parameter and the abnormal parameter, where the association relationship is a relationship between the abnormal parameter and the association parameter; Step 3441: When the association relationship is a preset unidirectional association relationship, the abnormal parameter is adjusted according to the adjustment method until it is within the parameter stability range, and the association parameter is updated to the abnormal parameter, and the abnormal parameter is defined as a second-order abnormal parameter; Step 3442: When the second-order abnormal parameter does not have a corresponding associated parameter, adjust the second-order abnormal parameter to within the corresponding parameter stable range according to the corresponding adjustment method; Step 3443: Outputting the emergency maintenance instruction when the second-order abnormal parameter has a corresponding associated parameter; Step 3444: Output the emergency maintenance instruction when the association relationship is a preset bidirectional association relationship.

5. A solenoid valve maintenance method according to claim 4, characterized in that: Another method for adjusting the associated parameters is also included, the method comprising: Step 3445: Determine the importance of association adjustment and the association adjustment method based on the association parameter and the parameter stability range corresponding to the association parameter; Step 3446: When the correlation adjustment importance does not exceed the importance threshold, adjust the abnormal parameter according to the adjustment method until the parameter falls within the stable range; Step 3447: Execute steps 340 to 344 when the association adjustment importance exceeds the importance threshold.

6. A solenoid valve maintenance method according to claim 2, characterized in that: The method further includes generating the parameter change curve based on the associated parameters corresponding to the current solenoid valve parameters when the current solenoid valve parameters cannot be acquired, the method comprising: Step 37: defining the current solenoid valve parameters that cannot be collected as missing solenoid valve parameters, and defining the current solenoid valve parameter characteristics corresponding to the missing solenoid valve parameters as missing solenoid valve parameter characteristics; Step 38: determining bidirectional association parameters having a preset bidirectional association relationship from a preset parameter association table based on the missing solenoid valve parameters; Step 39: generating a target correlation parameter curve based on the bidirectional correlation parameters; Step 40: generating a simulated solenoid valve parameter curve based on the target associated parameter curve and the associated relationship; Step 41 : Simulate the current solenoid valve parameter characteristics corresponding to the simulated solenoid valve parameter curve and the missing solenoid valve parameter to form the future parameter change curve and execute steps 6 to 8 .

7. A solenoid valve maintenance method according to claim 1, characterized in that: The method of determining the next expected maintenance time node based on the future parameter change curve and the critical value of the abnormal parameter of the solenoid valve, and generating the maintenance signal at the expected maintenance time node includes: Step 60: obtaining the current time node when the estimated maintenance time node exists; Step 61: Calculate the remaining monitoring time based on the difference between the current time node and the expected maintenance time node; Step 62: When the remaining monitoring time is greater than a preset maximum parameter adjustment time, determining a correction time node based on a midpoint between the current time node and the expected maintenance time node; Step 63: reacquire the current time node at the revised time node and execute steps 2 to 8 at the current time node to re-determine the estimated maintenance time node; Step 64: Execute steps 61 to 63 after re-determining the estimated maintenance time node; Step 65: When the remaining monitoring time is less than the maximum parameter adjustment time, output the estimated maintenance time node, and generate the maintenance signal at the estimated maintenance time node.

8. A solenoid valve maintenance method according to claim 7, characterized in that: The method further includes performing simulation based on the parameter change curve and the parameter change characteristic to form the future parameter change curve, the method comprising: Step 66: Determine a parameter change stabilization point based on the current solenoid valve parameter and a parameter change characteristic corresponding to the current solenoid valve parameter; Step 67: When the parameter change stable point does not fall on the parameter change curve, predicting the occurrence time of the parameter change stable point based on the parameter change characteristics and the parameter change curve; Step 68: When the parameter change stable point appears, re-collect the current solenoid valve parameters and generate the parameter change curve and execute steps 66 to 68; Step 69: When the parameter change stable point falls on the parameter change curve, simulation is performed based on the parameter change curve and the parameter change characteristics to form the future parameter change curve.

9. A solenoid valve maintenance method according to claim 8, characterized in that: The method further includes a method for verifying that the reply signal received at the expected maintenance time node is the inspection operation signal, the method comprising: Step 70: accumulating the number of verification failures when the received reply signal is the check operation signal; Step 71: when the number of verification failures reaches a preset maximum verification failure number threshold, searching for the maximum parameter adjustment time corresponding to the current solenoid valve parameter; Step 72: Calculate a corrected maximum parameter adjustment time based on the maximum parameter adjustment time corresponding to the current solenoid valve parameter and a preset single adjustment amount, and update the corrected maximum parameter adjustment time to the maximum parameter adjustment time.

10. A solenoid valve maintenance method according to claim 1, characterized in that: The invention also includes a method for adjusting the parameter stability range and the critical value of the abnormal parameter of the solenoid valve, the method comprising: Step 73: Acquire environmental parameters in real time; Step 74: Obtaining an environmental parameter deviation based on the difference between the environmental parameter and a preset standard environmental parameter; Step 75: searching a preset environmental parameter mapping table for a parameter stability range and a solenoid valve abnormal parameter critical value corresponding to the environmental parameter deviation based on the environmental parameter deviation, and defining them as a corrected parameter stability range and a corrected solenoid valve abnormal parameter critical value; Step 76: Re-determine the parameter stability range and the solenoid valve abnormal parameter critical value based on the corrected parameter stability range and the corrected solenoid valve abnormal parameter critical value.

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