A solenoid valve maintenance method

Abstract

The present application relates to a kind of solenoid valve maintenance method, it is related to solenoid valve detection field, it includes current solenoid valve parameter in response to maintenance signal, acquisition;Call historical solenoid valve parameter and form parameter change curve;Output maintenance instruction, and receive reply signal;When reply signal is check operation signal, determine parameter change characteristic based on current solenoid valve parameter;Based on parameter change curve and parameter change characteristic, simulate future parameter change curve;Based on future parameter change curve and solenoid valve abnormal parameter critical value, determine predicted maintenance time node, and form maintenance signal when predicted maintenance time node;Reset parameter change curve and form maintenance signal when the small value in periodic maintenance time node and predicted maintenance time node.This application has the time of predicting abnormal parameter occurrence based on future parameter change curve and does good maintenance work in advance, avoid the effect of maintenance not in time produced by relying on periodic maintenance operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electromagnetic valve detection, in particular to a maintenance method of electromagnetic valve. BACKGROUND

[0002] At present, with the development of the automobile industry, the demand for precise control of automobiles, the optimization of energy consumption requirements and the increase of functional complexity lead to the gradual highlighting of the limitations of mechanical and hydraulic control. Electromagnetic valves are increasingly widely used to replace traditional mechanical or hydraulic systems, and as important components in automobiles, their stability and reliability are crucial to the normal operation of automobiles.

[0003] The electromagnetic valve in the automobile, with its electromagnetic driving characteristics, is deeply consistent with the requirements of precise control, high reliability and lightweight in automobiles, and exhibits multi-dimensional advantages such as extremely fast response speed, high control precision, compact structure and lightweight, helping to reduce the weight and energy consumption of automobiles. It can adapt to the needs of multiple systems such as engine management, transmission, braking, air conditioning, etc., and is a key core component in the execution layer of the process of automobile electrification and intelligentization.

[0004] In view of the related technology in the above, the electromagnetic valve is prone to failure during long-term use. Traditional maintenance of electromagnetic valves is mainly based on regular maintenance, which is essentially an experience-driven passive response rather than a parameter-driven proactive prevention. This mode is particularly prominent in precise equipment such as automobiles, directly leading to the two core problems of excessive maintenance and maintenance lag, which seriously affects the operation and maintenance cost and equipment reliability. SUMMARY

[0005] In order to solve the problem of traditional electromagnetic valve maintenance mainly based on regular maintenance, the present application provides a maintenance method of electromagnetic valve.

[0006] The present application provides a maintenance method of electromagnetic valve, which adopts the following technical solution:

[0007] A maintenance method of electromagnetic valve, comprising:

[0008] Step 1: in response to a maintenance signal, collecting current electromagnetic valve parameters;

[0009] Step 2: retrieving historical electromagnetic valve parameters and forming a parameter change curve with the current electromagnetic valve parameters;

[0010] Step 3: outputting a preset maintenance instruction and receiving a reply signal;

[0011] Step 4: when the received reply signal is a check operation signal, determining the parameter change characteristics based on the current electromagnetic valve parameters;

[0012] Step 5: simulating based on the parameter change curve and the parameter change characteristics to form a future parameter change curve;

[0013] Step 6: determining a next predicted maintenance time node based on the future parameter change curve and a preset electromagnetic valve abnormal parameter critical value, and forming a maintenance signal at the predicted maintenance time node, the predicted maintenance time node being a minimum value of all next maintenance times;

[0014] Step 7: determining a repair abnormal type when the received reply signal is a repair operation signal;

[0015] Step 8: resetting a corresponding parameter change curve based on the repair abnormal type and forming the maintenance signal at a minimum value of a preset periodic maintenance time node and the predicted maintenance time node.

[0016] By using the above technical solution, the maintenance time node of the electromagnetic valve can be accurately determined by real-time monitoring of the electromagnetic valve parameters and predicting the future parameter change trend according to the parameter change characteristics, thereby avoiding the problem of maintenance lag in traditional periodic maintenance.

[0017] Optionally, the method of outputting the maintenance instruction comprises:

[0018] Step 30: monitoring the automobile state;

[0019] Step 31: outputting the maintenance instruction when the automobile state is in a preset stop state;

[0020] Step 32: finding a parameter stable range based on the abnormal parameter when the automobile state is in a preset driving state;

[0021] Step 33: analyzing the abnormal parameter and the parameter stable range to determine an adjustment importance and an adjustment mode;

[0022] Step 34: adjusting the abnormal parameter to the parameter stable range according to the adjustment mode and not issuing the maintenance instruction when the adjustment importance exceeds a preset importance critical value and the adjustment mode exists;

[0023] Step 35: issuing a preset emergency maintenance instruction when the adjustment importance exceeds the importance critical value but the adjustment mode does not exist;

[0024] Step 36: continuing to monitor the automobile state until the automobile state is in a stop state when the adjustment importance does not exceed the importance critical value.

[0025] By using the above technical solution, different processing methods of abnormal parameters can be realized according to the automobile state, and the abnormal parameters are immediately adjusted to the parameter stable range when the automobile is in a driving state to avoid driving risks caused by abnormal parameters.

[0026] Optionally, the method for adjusting the abnormal parameter into the parameter stable range according to the adjustment mode comprises:

[0027] Step 340: adjusting the abnormal parameter according to the adjustment mode;

[0028] Step 341: determining an associated parameter category based on the abnormal parameter and monitoring an associated parameter corresponding to the associated parameter category;

[0029] Step 342: if the associated parameter does not fall into the corresponding parameter stable range when the abnormal parameter falls into the parameter stable range, continuing to adjust the abnormal parameter;

[0030] Step 343: if the associated parameter falls into the corresponding parameter stable range when the abnormal parameter falls into the parameter stable range, stopping adjusting the abnormal parameter;

[0031] Step 344: if the associated parameter does not fall into the corresponding parameter stable range when the abnormal parameter traverses any value in the parameter stable range, outputting the emergency maintenance instruction.

[0032] By using the above technical solution, the influence of the associated parameter on the abnormal parameter can be considered comprehensively when the abnormal parameter is adjusted, the rationality and effectiveness of parameter adjustment are ensured, other problems caused in the parameter adjustment process are avoided, and the reliability and safety of electromagnetic valve maintenance are further improved.

[0033] Optionally, the method for outputting the emergency maintenance instruction when the abnormal parameter traverses any value in the parameter stable range and the associated parameter does not fall into the corresponding parameter stable range comprises:

[0034] Step 3440: determining an associated relationship from a preset parameter association table based on the associated parameter and the abnormal parameter, the associated relationship being a relationship between the abnormal parameter and the associated parameter;

[0035] Step 3441: adjusting the abnormal parameter according to the adjustment mode until the parameter stable range when the associated relationship is a preset one-way associated relationship, updating the associated parameter to the abnormal parameter, and defining the abnormal parameter as a second-order abnormal parameter;

[0036] Step 3442: adjusting the second-order abnormal parameter into a corresponding parameter stable range according to a corresponding adjustment mode when the second-order abnormal parameter does not have a corresponding associated parameter;

[0037] Step 3443: outputting the emergency maintenance instruction when the second-order abnormal parameter has a corresponding associated parameter;

[0038] Step 3444: outputting the emergency maintenance instruction when the association relationship is the preset bidirectional association relationship.

[0039] By adopting the above technical solutions, different processing methods can be adopted according to the association relationship between the association parameter and the abnormal parameter, the output logic of the maintenance instruction is further refined, the pertinence and effectiveness of the maintenance method are improved, and potential faults caused by parameter association problems are avoided.

[0040] Optionally, another method for adjusting the association parameter is further included, and the method comprises:

[0041] Step 3445: determining an association adjustment importance and an association adjustment method based on the association parameter and a parameter stability range corresponding to the association parameter;

[0042] Step 3446: adjusting the abnormal parameter according to the adjustment method until the parameter stability range when the association adjustment importance does not exceed the critical importance value;

[0043] Step 3447: executing steps 340 to 344 when the association adjustment importance exceeds the critical importance value.

[0044] By adopting the above technical solutions, the adjustment method of the abnormal parameter can be determined according to the adjustment importance of the association parameter, the parameter adjustment strategy is further optimized, and the adjustment process is more flexible and reasonable only when the adjustment importance meets the requirements.

[0045] Optionally, a method for generating the parameter change curve based on the association parameter corresponding to the current electromagnetic valve parameter when the current electromagnetic valve parameter cannot be collected is further included, and the method comprises:

[0046] Step 37: defining the current electromagnetic valve parameter that cannot be collected as a missing electromagnetic valve parameter, and defining a current electromagnetic valve parameter characteristic corresponding to the missing electromagnetic valve parameter as a missing electromagnetic valve parameter characteristic;

[0047] Step 38: determining a bidirectional association parameter with a preset bidirectional association relationship from a preset parameter association table based on the missing electromagnetic valve parameter;

[0048] Step 39: generating a target association parameter curve based on the bidirectional association parameter;

[0049] Step 40: generating a simulated electromagnetic valve parameter curve based on the target association parameter curve and the association relationship;

[0050] Step 41: simulating the current electromagnetic valve parameter characteristics based on the simulated electromagnetic valve parameter curve and the missing electromagnetic valve parameter to form the future parameter change curve and performing steps 6 to 8.

[0051] By adopting the above technical solution, in the case that the current electromagnetic valve parameter cannot be collected, the simulated parameter change curve can be generated by using the bidirectional associated parameter related thereto, and the future parameter change trend can be predicted, and the predicted maintenance time node is determined, so that the normal development of the electromagnetic valve maintenance work is ensured when the data is missing, and the reliability and adaptability of the maintenance method are improved.

[0052] Optionally, the method for determining the next predicted maintenance time node based on the future parameter change curve and the electromagnetic valve abnormal parameter critical value and forming the maintenance signal at the predicted maintenance time node comprises:

[0053] Step 60: obtaining the current time node when the predicted maintenance time node exists;

[0054] Step 61: performing difference calculation based on the current time node and the predicted maintenance time node to obtain the remaining monitoring time;

[0055] Step 62: when the remaining monitoring time is greater than a preset maximum parameter adjustment time, determining a correction time node based on the midpoint of the current time node and the predicted maintenance time node;

[0056] Step 63: reacquiring the current time node at the correction time node and performing steps 2 to 8 at the current time node to redetermine the predicted maintenance time node;

[0057] Step 64: performing steps 61 to 63 after the predicted maintenance time node is redetermined;

[0058] Step 65: when the remaining monitoring time is less than the maximum parameter adjustment time, outputting the predicted maintenance time node, and forming the maintenance signal at the predicted maintenance time node.

[0059] By adopting the above technical solution, the predicted maintenance time node can be dynamically adjusted, and the maintenance is not timely or over-maintenance caused by inaccurate time prediction can be avoided. By continuously correcting the predicted maintenance time node according to the comparison between the remaining monitoring time and the maximum parameter adjustment time, the maintenance time is more accurately consistent with the actual state of the electromagnetic valve, and the accuracy of the predicted maintenance time is increased.

[0060] Optionally, the method further comprises simulating the future parameter change curve based on the parameter change curve and the parameter change characteristics, and the method comprises:

[0061] Step 66: determining a parameter variation stable point based on the current electromagnetic valve parameter and the parameter variation characteristic corresponding to the current electromagnetic valve parameter;

[0062] Step 67: predicting an occurrence time of the parameter variation stable point based on the parameter variation characteristic and the parameter variation curve when the parameter variation stable point does not fall on the parameter variation curve;

[0063] Step 68: re-collecting the current electromagnetic valve parameter at the occurrence time of the parameter variation stable point, generating the parameter variation curve, and performing steps 66 to 68;

[0064] Step 69: simulating based on the parameter variation curve and the parameter variation characteristic to form the future parameter variation curve when the parameter variation stable point falls on the parameter variation curve.

[0065] By adopting the above technical solution, it is determined whether the current parameter has tended to be stable based on whether the parameter variation stable point falls on the parameter variation curve, and the future parameter variation curve is generated only when the current parameter has tended to be stable, thereby ensuring the prediction accuracy of the future parameter variation curve.

[0066] Optionally, the method further comprises a checking method for the reply signal received at the predicted maintenance time node being the check operation signal, and the method comprises:

[0067] Step 70: accumulating a check failure number when the received reply signal is the check operation signal;

[0068] Step 71: finding a maximum parameter adjustment time corresponding to the current electromagnetic valve parameter when the check failure number reaches a preset maximum check failure number threshold;

[0069] Step 72: calculating a corrected maximum parameter adjustment time based on the maximum parameter adjustment time corresponding to the current electromagnetic valve parameter and a preset single adjustment amount, and updating the corrected maximum parameter adjustment time as the maximum parameter adjustment time.

[0070] By adopting the above technical solution, when the check failure number reaches the threshold, the maximum parameter adjustment time is adjusted, thereby avoiding that the maintenance is not timely due to inaccurate time prediction, making the maintenance time more accurately meet the actual state of the electromagnetic valve, and further optimizing the maintenance process.

[0071] Optionally, the method further comprises an adjustment method for the parameter stable range and the electromagnetic valve abnormal parameter threshold, and the method comprises:

[0072] Step 73: acquiring an environment parameter in real time;

[0073] Step 74: difference between the environment parameter and the preset standard environment parameter to obtain an environment parameter deviation;

[0074] Step 75: based on the environment parameter deviation, searching the preset environment parameter mapping table to obtain a parameter stable range and a solenoid abnormal parameter critical value corresponding to the environment parameter deviation, and defining the parameter stable range and the solenoid abnormal parameter critical value as a corrected parameter stable range and a corrected solenoid abnormal parameter critical value;

[0075] Step 76: based on the corrected parameter stable range and the corrected solenoid abnormal parameter critical value, re-determining the parameter stable range and the solenoid abnormal parameter critical value.

[0076] By adopting the above technical solution, the parameter stable range is dynamically adjusted according to the change of the environment parameter, so that the parameter stable range is more in line with the actual environment situation, and the running stability and reliability of the solenoid valve under different environments are improved, and the adaptability of the maintenance method to different working conditions is further enhanced.

[0077] In summary, the present application has at least one of the following beneficial technical effects:

[0078] By collecting the current solenoid valve parameter, calling the historical parameter to form a parameter change curve, and based on this, simulating the future parameter change, the occurrence time of the solenoid valve abnormal state is predicted and the maintenance is carried out in advance;

[0079] When there is an abnormal parameter, the abnormal parameter is adjusted according to the parameter correlation table, and the chain reaction of forming abnormal corresponding associated parameters in the process of adjusting the abnormal parameter is accurately avoided;

[0080] By comparing the remaining monitoring time and the maximum parameter adjustment time to adjust the corrected predicted maintenance time node, the maintenance time is more accurately in line with the actual state of the solenoid valve. BRIEF DESCRIPTION OF DRAWINGS

[0081] Figure 1 is a flowchart of a solenoid valve maintenance method in the embodiment of the present application;

[0082] Figure 2 is a flowchart of a method of outputting a maintenance instruction in the embodiment of the present application;

[0083] Figure 3 is a flowchart of a method of adjusting an abnormal parameter to a parameter stable range according to an adjustment mode in the embodiment of the present application;

[0084] Figure 4 is a flowchart of a method of determining a next predicted maintenance time node based on a future parameter change curve and a solenoid valve abnormal parameter critical value, and forming a maintenance signal at the predicted maintenance time node in the embodiment of the present application;

[0085] Figure 5 is a schematic diagram of the parameter change curve and the future parameter change curve in the embodiment of the present application;

[0086] Figure 6 is a flowchart of the checking method in the embodiment of the present application, which further comprises the reply signal received at the predicted maintenance time node being the checking operation signal. DETAILED DESCRIPTION

[0087] The present application will be further described in detail below in combination with the drawings and embodiments.

[0088] The embodiment of the present application discloses a solenoid valve maintenance method. Referring to Figure 1 , a solenoid valve maintenance method comprises:

[0089] Step 1: collecting current solenoid valve parameters in response to a maintenance signal.

[0090] The maintenance signal refers to a signal formed at a preset periodic collection time node for triggering the operation of collecting current solenoid valve parameters. The periodic collection time node refers to a time point for collecting current solenoid valve parameters determined at a certain time interval in advance, for example, current solenoid valve parameters can be collected once every five minutes, and the time interval can be flexibly adjusted according to actual conditions. The current solenoid valve parameters refer to various performance indicators and state data exhibited in the current solenoid valve running process at the current time, such as pressure, flow, temperature, voltage, current and other parameters. These parameters are obtained by real-time monitoring through sensors or other detection devices built in the solenoid valve, which can directly reflect the current working condition and performance state of the solenoid valve. When the time reaches these preset periodic collection time nodes, the system will automatically form a maintenance signal, thereby triggering the operation of collecting current solenoid valve parameters.

[0091] Step 2: retrieving historical solenoid valve parameters and forming a parameter change curve with current solenoid valve parameters.

[0092] The historical solenoid valve parameters refer to various performance indicators and state data recorded in the past running process of the solenoid valve. Each time current solenoid valve parameters are collected, the time of collecting current solenoid valve parameters is recorded, and current solenoid valve parameters and the time of collecting current solenoid valve parameters are recorded in historical solenoid valve parameters. When the data volume exceeds the maximum capacity that historical solenoid valve parameters can record, the oldest data will be overwritten. The parameter change curve refers to a curve formed by connecting the parameter values at each time point with time as the horizontal coordinate and current solenoid valve parameters as the vertical coordinate by comparing current solenoid valve parameters and historical solenoid valve parameters. The parameter change curve can intuitively reflect the trend of the change of solenoid valve parameters with time, thereby providing a data basis for subsequent future parameter change simulation.

[0093] Step 3: output the preset maintenance instruction and receive a reply signal.

[0094] The maintenance instruction refers to an instruction for confirming whether the current electromagnetic valve parameter is abnormal. The reply signal refers to a signal for returning whether the current electromagnetic valve parameter is abnormal.

[0095] Step 4: determine the parameter change characteristic based on the current electromagnetic valve parameter when the received reply signal is a check operation signal.

[0096] The check operation signal is an instruction signal for analyzing the parameter change characteristic corresponding to the current electromagnetic valve parameter. The parameter change characteristic refers to the rate of change of the current electromagnetic valve parameter with time, the fluctuation amplitude, etc. obtained in advance through multiple experiments, which can further reveal the change law of the electromagnetic valve parameter. When the received reply signal is a check operation signal, it means that the current electromagnetic valve parameter is not abnormal, and the parameter change characteristic needs to be further analyzed to provide a basis for simulating the future parameter change curve in the subsequent process.

[0097] Step 5: simulate based on the parameter change curve and the parameter change characteristic to form a future parameter change curve.

[0098] The future parameter change curve refers to a curve that simulates the change trend of the current electromagnetic valve parameter to predict the parameter state of the electromagnetic valve in the future. Through the future parameter change curve, the future change path of the electromagnetic valve parameter can be predicted to understand the running state of the electromagnetic valve in advance. The specific way to simulate to form the future parameter change curve is to determine the change trend of the current electromagnetic valve parameter E in the parameter change curve, for example, E is at X value, and determine that E presents a decreasing or increasing or regular fluctuation trend, and combine the rate of change of the electromagnetic valve parameter with time in the parameter change characteristic to simulate the future parameter change curve. The above parameter change curve is only a change curve with a stable fluctuation amplitude, and the stability of the parameter change curve is determined by the parameter change stable point. The parameter change stable point is determined according to the fluctuation amplitude in the parameter change characteristic and will be introduced in the subsequent process. Here, it is not described in detail.

[0099] Step 6: determine the next predicted maintenance time node based on the future parameter change curve and the preset electromagnetic valve abnormal parameter critical value, and form a maintenance signal at the predicted maintenance time node.

[0100] The electromagnetic valve abnormal parameter critical value refers to the upper or lower limit value of the parameter that the electromagnetic valve can tolerate during normal operation. Once the critical value is exceeded, the electromagnetic valve may malfunction or performance may decrease. The predicted maintenance time node refers to the time point when the electromagnetic valve parameter may exceed the abnormal parameter critical value according to the future parameter change curve. By comparing the future parameter change curve with the electromagnetic valve abnormal parameter critical value, it can be predicted when the electromagnetic valve parameter will exceed the normal range, so as to determine the predicted maintenance time node. This predicted maintenance time node is the minimum value among all predicted future maintenance time points, that is, the earliest time point when the abnormality may occur. Because the electromagnetic valve parameter is not only one parameter, each parameter has a different predicted maintenance time node, so the earliest time point when the abnormality may occur is selected as the predicted maintenance time node.

[0101] Step 7: determining the repair abnormality type when the received reply signal is a repair operation signal.

[0102] The repair operation signal refers to an instruction signal for performing repair operation when the current electromagnetic valve parameter exceeds the electromagnetic valve abnormal parameter critical value. The repair abnormality type refers to the fault type determined according to the abnormal performance of the current electromagnetic valve parameter, such as blockage, leakage, circuit failure, etc., which is determined by searching the preset abnormal parameter mapping table when the current electromagnetic valve parameter exceeds the electromagnetic valve abnormal parameter critical value. The abnormal parameter mapping table refers to a mapping relationship table in which various abnormal parameters of the electromagnetic valve and corresponding fault types are preset. When it is monitored that the current electromagnetic valve parameter exceeds the abnormal parameter critical value, 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 electromagnetic valve parameter has already appeared abnormal, and the fault type needs to be judged according to the specific abnormal parameter, so that the corresponding repair measures can be taken.

[0103] Step 8: resetting the corresponding parameter change curve based on the repair abnormality type and forming a maintenance signal at the smaller value of the preset periodic maintenance time node and the predicted maintenance time node.

[0104] The periodic maintenance time node refers to the time point for maintaining the electromagnetic valve determined according to the pre-set fixed time interval, for example, it can be set to be maintained once a week. After determining the repair abnormality type, the corresponding parameter change curve needs to be reset to regenerate the future parameter change curve to predict the time when the electromagnetic valve parameter becomes abnormal. At the same time, the preset periodic maintenance time node and the predicted maintenance time node need to be compared, and the earlier time point is selected as the next maintenance time node to avoid the problem of not timely maintenance of the periodic maintenance time node or the predicted maintenance time node. A maintenance signal is formed at the next maintenance time node to trigger the maintenance operation to ensure that the electromagnetic valve is maintained and repaired in time before the abnormal state occurs, avoid the occurrence of faults, and improve the running stability and reliability of the electromagnetic valve.

[0105] Referring to Figure 2 , the method of outputting maintenance instructions comprises:

[0106] Step 30: monitoring the state of the automobile.

[0107] The state of the automobile refers to the real-time state of the automobile, which is specifically divided into a stopped state and a running state, and the real-time state of the automobile is determined by monitoring the tire state of the automobile through a preset sensor.

[0108] Step 31: outputting maintenance instructions when the state of the automobile is in a preset stopped state.

[0109] The stopped state refers to a state in which the automobile is stationary but not turned off. When the state of the automobile is in the stopped state, it indicates that the vehicle is in a relatively safe and stable state at this time. The stopped state is an ideal state for setting the maintenance instructions to predict the abnormal time node of the electromagnetic valve parameters, so the maintenance instructions are output in this state.

[0110] Step 32: searching for a parameter stable range based on an abnormal parameter when the state of the automobile is in a preset running state.

[0111] The running state refers to a state in which the automobile is in dynamic running. In this state, the influence of abnormal parameters will be amplified, and even the personal safety of the driver will be affected, so a completely different processing method from the stopped state will be performed. The abnormal parameter refers to an electromagnetic valve parameter that exceeds the critical value of the electromagnetic valve abnormal parameter or is not within the parameter stable range. The parameter stable range refers to the fluctuation range that the electromagnetic valve parameter can tolerate when the automobile is in a running state. When the automobile is in a running state, the electromagnetic valve parameter may fluctuate due to changes in external environment and internal working conditions. At this time, the system will monitor whether the current electromagnetic valve parameter exceeds the preset parameter stable range to determine whether there is an abnormal parameter.

[0112] Step 33: analyzing the abnormal parameter and the parameter stable range to determine the adjustment importance and the adjustment method.

[0113] The adjustment importance refers to the urgency and priority of adjusting the electromagnetic valve parameter. The adjustment method refers to the adjustment measures and methods taken for different types of abnormal parameters and different parameter stable ranges. According to the nature and cause of the abnormal parameter, the system will select the corresponding adjustment method, such as adjusting the working voltage, current of the electromagnetic valve, changing the pressure, temperature of the fluid, etc.

[0114] Step 34: adjusting the abnormal parameter to the parameter stable range according to the adjustment method when the adjustment importance exceeds the preset important critical value and the adjustment method exists, and not issuing a maintenance instruction.

[0115] The important critical value refers to a critical value for judging the urgency of adjusting the abnormal parameter. When the adjustment importance corresponding to the abnormal parameter exceeds the important critical value, it indicates that the abnormal parameter has a greater impact on the vehicle driving state, and immediate measures need to be taken for adjustment. At this time, the system will check whether there is an effective adjustment method. If there is an adjustment method, the system will immediately adjust the abnormal parameter according to the preset adjustment method to restore it to the parameter stable range, so as to avoid further damage to the electromagnetic valve or affect the normal operation of the vehicle. At the same time, since timely adjustment measures have been taken, no maintenance instructions will be issued immediately at this time, but the state of the electromagnetic valve will continue to be monitored to ensure its stable operation.

[0116] Step 35: issuing a preset emergency maintenance instruction when the adjustment importance exceeds the important critical value but the adjustment method does not exist.

[0117] The emergency maintenance instruction refers to an instruction for immediately triggering an emergency maintenance operation on the electromagnetic valve. When the adjustment importance corresponding to the abnormal parameter exceeds the important critical value, it indicates that the abnormal parameter has a greater impact on the vehicle driving state, and immediate measures need to be taken for adjustment, but the system cannot find an effective adjustment method. At this time, in order to ensure the safe operation of the vehicle, the system will immediately issue an emergency maintenance instruction to prompt the driver or maintenance personnel to immediately check and maintain the electromagnetic valve to avoid possible failures or accidents.

[0118] Step 36: continue to monitor the vehicle state until the vehicle state is in the stopped state when the adjustment importance does not exceed the important critical value.

[0119] When the adjustment importance does not exceed the important critical value, it indicates that the current abnormal parameter has a smaller impact on the vehicle driving state, and adjustment can be temporarily not performed, but the vehicle state and the change of the electromagnetic valve parameter are continued to be monitored until the vehicle stops driving and the abnormal processing method in the stopped state is executed.

[0120] Referring to Figure 3 , the method for adjusting the abnormal parameter to the parameter stable range according to the adjustment method comprises:

[0121] Step 340: adjusting the abnormal parameter according to the adjustment method.

[0122] Step 341: determining the associated parameter category based on the abnormal parameter and monitoring the associated parameters corresponding to the associated parameter category.

[0123] The associated parameter category refers to the parameter category associated with the abnormal parameter. For example, when adjusting the working pressure of the electromagnetic valve, the flow rate and temperature may be affected, and the associated relationship is divided into one-way and two-way association, which will be introduced later. The associated parameter category is found by the preset parameter association table. The parameter association table will be introduced later and will not be described 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 the abnormal parameter and the associated parameter reflect the running state of the electromagnetic valve. At the same time of adjusting the abnormal parameter, the system will monitor the change of the associated parameter in real time to ensure that the adjustment process will not adversely affect the overall performance of the electromagnetic valve.

[0124] Step 342: If the associated parameter does not fall into the corresponding parameter stable range when the abnormal parameter falls into the parameter stable range, continue to adjust the abnormal parameter.

[0125] If the associated parameter does not fall into the corresponding parameter stable range when the abnormal parameter falls into the parameter stable range, it means that the adjustment of the abnormal parameter has caused the associated parameter to become an abnormal parameter, so the abnormal parameter needs to be adjusted in the corresponding parameter stable range to find a point that can make the abnormal parameter and the associated parameter fall into the parameter stable range.

[0126] Step 343: If the associated parameter falls into the corresponding parameter stable range when the abnormal parameter falls into the parameter stable range, stop adjusting the abnormal parameter.

[0127] If the associated parameter falls into the corresponding parameter stable range when the abnormal parameter falls into the parameter stable range, it means that the adjusted abnormal parameter and the associated parameter are both in the stable range, so there is no need for further adjustment.

[0128] Step 344: If the associated parameter does not fall into the corresponding parameter stable range when the abnormal parameter traverses any value in the parameter stable range, output an emergency maintenance instruction.

[0129] If the associated parameter does not fall into the corresponding parameter stable range when the abnormal parameter traverses any value in the parameter stable range, it means that the adjustment of the abnormal parameter has exceeded the adjustment range, and it is impossible to make the abnormal parameter and the associated parameter fall into the corresponding parameter stable range in the corresponding parameter stable range of the abnormal parameter. At this time, the issuance of the emergency maintenance instruction is to remind the driver to take immediate action, such as stopping the vehicle, to avoid unnecessary accidents caused by the abnormal parameter in the running state.

[0130] The method for outputting the emergency maintenance instruction when any of the associated parameters does not fall within the corresponding parameter stable range during the abnormal parameter traversing the parameter stable range comprises:

[0131] Step 3440: determining the associated relationship from the preset parameter association table based on the associated parameter and the abnormal parameter, the associated relationship being the relationship between the abnormal parameter and the associated parameter.

[0132] The parameter association table refers to an information storage table for storing the associated electromagnetic valve parameters corresponding to various electromagnetic valve parameters and the mutual influence relationship between various electromagnetic valve parameters. Through the table, it can be determined whether the abnormal parameter and the associated parameter are a bidirectional relationship of mutual influence or a passive influence unidirectional relationship. For example, the electromagnetic force in the electromagnetic valve is affected by the adjustment of the power supply voltage, but the adjustment of the electromagnetic force does not affect the power supply voltage.

[0133] Step 3441: adjusting the abnormal parameter according to the adjustment mode until the parameter stable range when the associated relationship is a preset unidirectional associated relationship, and updating the associated parameter to the abnormal parameter, and defining the abnormal parameter as a second-order abnormal parameter.

[0134] The unidirectional associated relationship refers to a unidirectional relationship in which the abnormal parameter can affect the associated parameter, but the associated parameter cannot affect the abnormal parameter. The second-order abnormal parameter refers to an abnormal parameter corresponding to the associated parameter after adjusting the abnormal parameter.

[0135] Step 3442: adjusting the second-order abnormal parameter to the corresponding parameter stable range according to the corresponding adjustment mode when the second-order abnormal parameter does not have a corresponding associated parameter.

[0136] When the second-order abnormal parameter does not have a corresponding associated parameter, it means that there is no corresponding parameter affected by the second-order abnormal parameter, so the second-order abnormal parameter can be adjusted to the corresponding parameter stable range at this time.

[0137] Step 3443: outputting the emergency maintenance instruction when the second-order abnormal parameter has a corresponding associated parameter.

[0138] When the second-order abnormal parameter has a corresponding associated parameter, it means that adjusting the second-order parameter may cause changes in the associated parameter, which may result in a new second-order abnormal parameter. The new second-order abnormal parameter may still appear in the subsequent adjustment process, and at this time, the resulting chain reaction cannot be solved by the parameter adjustment method, so the emergency maintenance instruction is outputted.

[0139] Step 3444: outputting the emergency maintenance instruction when the associated relationship is a preset bidirectional associated relationship.

[0140] The bidirectional association relationship refers to the abnormal parameter and the associated parameter corresponding to the abnormal parameter affecting each other, that is, when one parameter is adjusted, the value of the other parameter will also change. When the association relationship is a bidirectional association relationship, it means that the process of adjusting the abnormal parameter will inevitably lead to the associated parameter becoming a new abnormal parameter. At this time, the abnormal parameter problem cannot be solved according to the adjustment parameter mode, so an emergency maintenance instruction needs to be output.

[0141] The method further includes another method for adjusting the associated parameter, which comprises:

[0142] Step 3445: determining the associated adjustment importance and the associated adjustment mode based on the associated parameter and the parameter stability range corresponding to the associated parameter.

[0143] The associated adjustment importance refers to the urgency and priority of adjusting the associated parameter. The associated adjustment mode refers to the adjustment measures and methods taken for different types of associated parameters and different parameter stability ranges.

[0144] Step 3446: adjusting the abnormal parameter according to the adjustment mode until it is within the parameter stability range when the associated adjustment importance does not exceed the important threshold.

[0145] When the associated adjustment importance does not exceed the important threshold, it means that the change of the current associated parameter has a small overall impact on the electromagnetic valve. In this case, even if the abnormal parameter is adjusted to be within 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.

[0146] Step 3447: executing steps 340 to 344 when the associated adjustment importance exceeds the important threshold.

[0147] When the associated adjustment importance exceeds the important threshold, it means that the change of the current associated parameter has a large overall impact on the electromagnetic valve, which is easy to cause the car in driving state to lose control. Therefore, steps 340 to 344 are executed to adjust the abnormal parameter and the associated parameter corresponding to the abnormal parameter to fall within the corresponding parameter stability range or output an emergency maintenance instruction.

[0148] The method further includes a method for generating a parameter change curve based on the associated parameter corresponding to the current electromagnetic valve parameter when the current electromagnetic valve parameter cannot be collected, which comprises:

[0149] Step 37: defining the current electromagnetic valve parameter that cannot be collected as a missing electromagnetic valve parameter, and defining the current electromagnetic valve parameter characteristic corresponding to the missing electromagnetic valve parameter as a missing electromagnetic valve parameter characteristic.

[0150] The missing electromagnetic valve parameter refers to a preset sensor that fails to collect the electromagnetic valve parameter in real time. The missing electromagnetic valve parameter characteristic refers to the electromagnetic valve parameter characteristic corresponding to the missing electromagnetic valve parameter, which is defined to facilitate subsequent operations.

[0151] Step 38: Determine the bidirectional association parameter with a preset bidirectional association relationship from the preset parameter association table based on the missing electromagnetic valve parameter.

[0152] The bidirectional association parameter refers to the parameter that is in a bidirectional association relationship with the missing electromagnetic valve parameter. It is determined by searching for the missing electromagnetic valve parameter and the bidirectional association parameter corresponding to the missing electromagnetic valve parameter in the parameter association table.

[0153] Step 39: Generate a target association parameter curve based on the bidirectional association parameter.

[0154] The target association parameter curve refers to a parameter change curve generated based on the historical data of the bidirectional association parameter or a preset association relationship model. Since the missing electromagnetic valve parameter and the bidirectional association parameter have a mutual influence relationship, the possible changes of the missing electromagnetic valve parameter can be inferred by analyzing the change trend of the bidirectional association parameter, thereby generating the target association parameter curve. This curve can reflect the general change trend of the missing electromagnetic valve parameter, providing a reference basis for subsequent parameter prediction and maintenance.

[0155] Step 40: Generate a simulated electromagnetic valve parameter curve based on the target association parameter curve and the association relationship.

[0156] The simulated electromagnetic valve parameter curve refers to a change trend of the missing electromagnetic valve parameter simulated based on the target association parameter curve and the known association relationship, through a preset historical parameter database. When parameter A and parameter A in the historical parameter database are both X values, the value of the association parameter B corresponding to parameter A in the historical parameter database is searched to simulate and form a complete simulated electromagnetic valve parameter curve. The simulated electromagnetic valve parameter curve can reflect the current working state of the electromagnetic valve in real time, providing more accurate and comprehensive data support for the maintenance and fault prediction of the electromagnetic valve.

[0157] Step 41: Simulate the future parameter change curve based on the simulated electromagnetic valve parameter curve and the current electromagnetic valve parameter characteristic corresponding to the missing electromagnetic valve parameter, and perform steps 6 to 8.

[0158] When there is a simulated electromagnetic valve parameter curve, it means that the change trend of the future electromagnetic valve parameter can be predicted through the simulated electromagnetic valve parameter curve. Based on this prediction, steps 6 to 8 can be performed, i.e., determining the predicted maintenance time node according to the predicted parameter change to ensure that the electromagnetic valve can be maintained in advance before the abnormal parameter appears.

[0159] Reference Figure 4, the method for determining the next predicted maintenance time node based on the future parameter change curve and the abnormal parameter critical value of the electromagnetic valve and forming a maintenance signal at the predicted maintenance time node comprises:

[0160] Step 60: obtaining the current time node when the predicted maintenance time node exists.

[0161] The current time node refers to the specific time at present. When the predicted maintenance time node exists, it means that the future abnormal time of the electromagnetic valve has been predicted through the future parameter change curve. At this time, the current time is obtained based on the preset clock device to determine how long the current time is from the time when the abnormality may occur for subsequent operation.

[0162] Step 61: performing difference calculation based on the current time node and the predicted maintenance time node to obtain the remaining monitoring time.

[0163] The remaining monitoring time refers to the time length required for monitoring from the current time node to the predicted maintenance time node. The remaining monitoring time can understand the deviation degree of the future parameter change curve and the future state of the electromagnetic valve. When the remaining monitoring time is greater, it means that the predicted maintenance time node is less accurate.

[0164] Step 62: when the remaining monitoring time is greater than the preset maximum parameter adjustment time, determining the correction time node based on the midpoint of the current time node and the predicted maintenance time node.

[0165] The maximum parameter adjustment time refers to the predicted maintenance time node used to determine whether the remaining monitoring time meets the requirement of the lowest accuracy. The correction time node refers to the midpoint value of the current time node and the predicted maintenance time node, which is used to subsequently reacquire the current time to reduce the remaining monitoring time. When the remaining monitoring time is greater than the maximum parameter adjustment time, it means that the accuracy of the predicted maintenance time node obtained at present is too low. Therefore, the correction time node is determined based on the midpoint of the current time node and the predicted maintenance time node for subsequent steps.

[0166] Step 63: reacquiring the current time node at the correction time node and reacquiring the current electromagnetic valve parameter at the current time node to execute steps 2 to 8 to redetermine the predicted maintenance time node.

[0167] When the correction time node exists, it means that the remaining monitoring time is too long and does not meet the accuracy of the predicted maintenance time. Therefore, the current time node is reacquired at the correction time node, and the current electromagnetic valve parameter is collected based on the current time node to redetermine the predicted maintenance time node for subsequent operation.

[0168] Step 64: executing steps 61 to 63 after redetermining the predicted maintenance time node.

[0169] When the expected maintenance time indicates the expected occurrence time of the current abnormal parameter, steps 61 to 63 can be re-executed to obtain the remaining monitoring time and determine whether the remaining monitoring time meets the requirement within the maximum parameter adjustment time until the remaining monitoring time is less than the maximum parameter adjustment time.

[0170] Step 65: When the remaining monitoring time is less than the maximum parameter adjustment time, output the expected maintenance time node, and form a maintenance signal at the expected maintenance time node.

[0171] When the remaining monitoring time is less than the maximum parameter adjustment time, it means that the remaining monitoring time meets the requirement, and the accuracy of the expected maintenance time node at this time is higher, so the operation of repeatedly obtaining the remaining monitoring time and comparing the maximum parameter adjustment time can be stopped.

[0172] The method further comprises simulating based on the parameter change curve and the parameter change characteristic to form a future parameter change curve, and the method comprises:

[0173] Step 66: Determine the parameter change stable point based on the current electromagnetic valve parameter and the parameter change characteristic corresponding to the current electromagnetic valve parameter.

[0174] Referring to Figure 5 The parameter change stable point refers to a numerical point at which the parameter change of the electromagnetic valve tends to be stable after passing through a specific point in the parameter change process. The trend and rule of the parameter change in the parameter change process are determined through the parameter change characteristic corresponding to each parameter of the electromagnetic valve, so as to determine the parameter change stable point corresponding to each parameter.

[0175] 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 characteristic and the parameter change curve.

[0176] When the parameter change stable point does not fall on the parameter change curve, it means that the current parameter change curve change trend is not stable enough to simulate the future parameter change curve in the subsequent process, so the occurrence time of the change stable point is predicted based on the parameter change characteristic and the parameter change curve.

[0177] Step 68: At the occurrence time of the parameter change stable point, re-acquire the current electromagnetic valve parameter and generate a parameter change curve, and execute steps 66 to 68.

[0178] When at the occurrence time of the parameter change stable point, it means that the current electromagnetic valve parameter may have tended to be stable, so the parameter change curve can be re-generated and steps 66 to 68 can be repeatedly executed to 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 the repeated execution of steps 66 to 68 is stopped.

[0179] Step 69: Simulate to form a future parameter variation curve based on the parameter variation curve and the parameter variation characteristic when the parameter variation stable point falls on the parameter variation curve.

[0180] When the parameter variation stable point falls on the parameter variation curve, it indicates that the parameter variation has tended to be stable. The future parameter variation curve can be simulated based on the parameter variation curve and the parameter variation characteristic.

[0181] Referring to Figure 6 The method also includes a checking method for the reply signal received at the predicted maintenance time node, which includes:

[0182] Step 70: Accumulate the number of check failures when the received reply signal is the check operation signal.

[0183] The number of check failures refers to the number of failures accumulated when no abnormal parameter appears at the predicted maintenance time node. When the received reply signal is the check operation signal, it indicates that no abnormal parameter currently appears, so it can be determined that the predicted maintenance time has an error prediction, and the number of check failures is accumulated.

[0184] Step 71: Find the maximum parameter adjustment time corresponding to the current electromagnetic valve parameter when the number of check failures reaches a preset maximum number of check failures threshold.

[0185] The maximum number of check failures threshold is a number artificially preset to judge whether the predicted maintenance time node has multiple errors. When the number of check failures reaches the maximum number of failures threshold, it indicates that the predicted maintenance time node has multiple errors, and the maximum parameter adjustment time corresponding to the current electromagnetic valve parameter needs to be re-evaluated.

[0186] Step 72: Calculate the corrected maximum parameter adjustment time based on the maximum parameter adjustment time corresponding to the current electromagnetic valve parameter and a preset single adjustment amount, and update the corrected maximum parameter adjustment time as the maximum parameter adjustment time.

[0187] The single adjustment amount refers to an adjustment amount artificially preset for adjusting the maximum parameter adjustment time. The corrected maximum parameter adjustment time is a reduced version of the maximum parameter adjustment time obtained by subtracting the single adjustment amount from the maximum parameter adjustment time. The smaller the maximum parameter adjustment time, the closer the prediction result will be to the actual working state of the electromagnetic valve. Conversely, it will increase the number of times of predicting the predicted maintenance time node based on the future parameter variation curve. When there is a corrected maximum parameter adjustment time, it indicates that the current maximum parameter adjustment time cannot obtain an accurate predicted maintenance time node, so the corrected maximum parameter adjustment time replaces the original maximum parameter adjustment time.

[0188] The method further comprises adjusting the parameter stability range and the solenoid abnormal parameter critical value, and the method comprises the following steps:

[0189] Step 73: Real-time acquisition of the environmental parameter.

[0190] The environmental parameter refers to a parameter such as temperature and humidity corresponding to the environment in which the solenoid valve is located, which is collected by a preset sensor. These parameters will affect the working state and parameter stability of the solenoid valve.

[0191] Step 74: Difference between the environmental parameter and the preset standard environmental parameter to obtain the environmental parameter deviation.

[0192] The standard environmental parameter refers to the environmental parameter corresponding to the preset solenoid abnormal parameter critical value. The environmental parameter deviation is obtained by differencing the real-time acquired environmental parameter and the standard environmental parameter. Because the solenoid valve parameter is affected by the environmental parameter, when the environmental parameter changes, the corresponding parameter stability range and solenoid abnormal parameter critical value need to be modified.

[0193] Step 75: Based on the environmental parameter deviation, find the parameter stability range and solenoid 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 solenoid abnormal parameter critical value.

[0194] The environmental parameter mapping table refers to a table that stores the corresponding relationship between the environmental parameter deviation and the corresponding parameter stability range and solenoid abnormal parameter critical value. The corrected parameter stability range refers to the corresponding parameter stability range in the environmental parameter mapping table. The corrected solenoid abnormal parameter critical value is obtained in a similar manner to the corrected parameter stability range, and is not described in detail. By searching the environmental parameter mapping table, the corresponding corrected parameter stability range and solenoid abnormal parameter critical value under the current environmental parameter deviation can be quickly obtained to adapt to the influence of environmental changes on the solenoid valve parameter.

[0195] Step 76: Redetermination of the parameter stability range and the abnormal parameter critical value based on the corrected parameter stability range and the corrected solenoid abnormal parameter critical value.

[0196] When there is a corrected parameter stability range, it means that the environmental parameter has changed. At this time, in order to ensure the accuracy of the abnormal parameter judgment, it is necessary to judge whether the parameter is stable based on the corrected parameter stability range when the vehicle is in a driving state.

[0197] When there is a corrected abnormal parameter critical value, the same as the above-mentioned corrected parameter stability range, it is necessary to judge whether the parameter is stable based on the corrected abnormal parameter critical value when the vehicle is in a stopped state.

[0198] The above merely describes the preferred embodiments of the present application, and the protection scope of the present application is not limited to the above-described embodiments. Any technical solution falling within the concept of the present application shall fall within the protection scope of the present application. It should be noted that, for ordinary skilled persons in the art, some improvements and refinements without departing from the principles of the present application shall also be considered as falling within the protection scope of the present application.

Claims

1. A solenoid valve maintenance method characterized by, The method comprises: Step 1: collecting current solenoid valve parameters in response to a maintenance signal; Step 2: calling historical solenoid valve parameters and forming a parameter change curve with the current solenoid valve parameters; Step 3: outputting a preset maintenance instruction and receiving a reply signal; Step 4: determining parameter change characteristics based on the current solenoid valve parameters when the received reply signal is an inspection operation signal; Step 5: simulating based on the parameter change curve and the parameter change characteristics to form a future parameter change curve; Step 6: determining a next predicted maintenance time node based on the future parameter change curve and a preset solenoid valve abnormal parameter critical value, and forming a maintenance signal at the predicted maintenance time node, the predicted maintenance time node being the minimum of all next maintenance times; Step 7: determining a repair abnormality type when the received reply signal is a repair operation signal; Step 8: resetting the corresponding parameter change curve based on the repair abnormality type and forming the maintenance signal at the smaller of the preset periodic maintenance time node and the predicted maintenance time node.

2. A solenoid valve maintenance method according to claim 1, characterized by The method of outputting the maintenance instruction comprises: Step 30: monitoring the vehicle state; Step 31: outputting the maintenance instruction when the vehicle state is in a preset stop state; Step 32: finding a parameter stable range based on the abnormal parameter when the vehicle state is in a preset driving state; Step 33: analyzing the abnormal parameter and the parameter stable range to determine adjustment importance and adjustment method; Step 34: adjusting the abnormal parameter to the parameter stable range according to the adjustment method and not issuing the maintenance instruction when the adjustment importance exceeds a preset importance critical value and the adjustment method exists; Step 35: issuing a preset emergency maintenance instruction when the adjustment importance exceeds the importance critical value but the adjustment method does not exist; Step 36: continuing to monitor the vehicle state until the vehicle state is in a stop state when the adjustment importance does not exceed the importance critical value.

3. A solenoid valve maintenance method according to claim 2, wherein The method of adjusting the abnormal parameter to the parameter stable range according to the adjustment method comprises: Step 340: adjusting the abnormal parameter according to the adjustment method; Step 341: determining an associated parameter category based on the abnormal parameter and monitoring the associated parameter corresponding to the associated parameter category; Step 342: continuing to adjust the abnormal parameter when the associated parameter does not fall into the corresponding parameter stable range if the abnormal parameter falls into the parameter stable range; Step 343: stopping adjusting the abnormal parameter when the associated parameter falls into the corresponding parameter stable range if the abnormal parameter falls into the parameter stable range; Step 344: outputting the emergency maintenance instruction when the associated parameter does not fall into the corresponding parameter stable range if the abnormal parameter traverses any value in the parameter stable range.

4. A solenoid valve maintenance method according to claim 3, wherein The method of outputting the emergency maintenance instruction when the associated parameter does not fall into the corresponding parameter stable range if the abnormal parameter traverses any value in the parameter stable range comprises: Step 3440: determining the correlation relationship from the preset parameter correlation table based on the correlation parameter and the abnormal parameter, the correlation relationship being the relationship of the abnormal parameter to the correlation parameter; Step 3441: adjusting the abnormal parameter according to the adjustment mode until the parameter stable range when the correlation relationship is a preset one-way correlation relationship, and updating the correlation parameter to the abnormal parameter, and defining the abnormal parameter as a second-order abnormal parameter; Step 3442: adjusting the second-order abnormal parameter to the corresponding parameter stable range according to the corresponding adjustment mode when the second-order abnormal parameter does not have a corresponding correlation parameter; Step 3443: outputting the emergency maintenance instruction when the second-order abnormal parameter has a corresponding correlation parameter; Step 3444: outputting the emergency maintenance instruction when the correlation relationship is a preset bidirectional correlation relationship.

5. A solenoid valve maintenance method according to claim 4, wherein Another method for adjusting the correlation parameter is also included, which comprises: Step 3445: determining the correlation adjustment importance and the correlation adjustment mode based on the correlation parameter and the parameter stable range corresponding to the correlation parameter; Step 3446: adjusting the abnormal parameter according to the adjustment mode until the parameter stable range when the correlation adjustment importance does not exceed the important critical value; Step 3447: executing steps 340 to 344 when the correlation adjustment importance exceeds the important critical value.

6. A solenoid valve maintenance method according to claim 2, wherein When the current electromagnetic valve parameter cannot be collected, a method for generating the parameter change curve based on the corresponding correlation parameter of the current electromagnetic valve parameter is also included, which comprises: Step 37: defining the current electromagnetic valve parameter that cannot be collected as a missing electromagnetic valve parameter, and defining the current electromagnetic valve parameter characteristics corresponding to the missing electromagnetic valve parameter as missing electromagnetic valve parameter characteristics; Step 38: determining a bidirectional correlation parameter with a preset bidirectional correlation relationship from the preset parameter correlation table based on the missing electromagnetic valve parameter; Step 39: generating a target correlation parameter curve based on the bidirectional correlation parameter; Step 40: generating a simulated electromagnetic valve parameter curve based on the target correlation parameter curve and the correlation relationship; Step 41: simulating based on the simulated electromagnetic valve parameter curve and the current electromagnetic valve parameter characteristics corresponding to the missing electromagnetic valve parameter to form the future parameter change curve, and executing steps 6 to 8.

7. The electromagnetic valve maintenance method of claim 1, wherein A method for determining the next predicted maintenance time node based on the future parameter change curve and the electromagnetic valve abnormal parameter critical value, and forming the maintenance signal at the predicted maintenance time node comprises: Step 60: obtaining the current time node when the predicted maintenance time node exists; Step 61: performing difference calculation based on the current time node and the predicted maintenance time node to obtain the remaining monitoring time; Step 62: determining a correction time node based on the midpoint of the current time node and the predicted maintenance time node when the remaining monitoring time is greater than a preset maximum parameter adjustment time; Step 63: reacquire the current time node at the modified time node and perform steps 2 to 8 at the current time node to redetermine the predicted maintenance time node; Step 64: perform steps 61 to 63 after redetermining the predicted maintenance time node; Step 65: output the predicted maintenance time node and form the maintenance signal at the predicted maintenance time node when the remaining monitoring time is less than the maximum parameter adjustment time.

8. A solenoid valve maintenance method according to claim 7, wherein Also included is a method of simulating 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 stable point based on the current electromagnetic valve parameter and the parameter change characteristic corresponding to the current electromagnetic valve parameter; Step 67: predict the occurrence time of the parameter change stable point based on the parameter change characteristic and the parameter change curve when the parameter change stable point does not fall on the parameter change curve; Step 68: reacquire the current electromagnetic valve parameter at the occurrence time of the parameter change stable point and generate the parameter change curve and perform steps 66 to 68; Step 69: simulate based on the parameter change curve and the parameter change characteristic to form the future parameter change curve when the parameter change stable point falls on the parameter change curve.

9. A solenoid valve maintenance method according to claim 8, wherein Also included is a checking method for the reply signal received at the predicted maintenance time node being the check operation signal, the method comprising: Step 70: accumulate the number of check failures when the received reply signal is the check operation signal; Step 71: find the maximum parameter adjustment time corresponding to the current electromagnetic valve parameter when the number of check failures reaches a preset maximum number of check failures critical value; Step 72: calculate a modified maximum parameter adjustment time based on the maximum parameter adjustment time corresponding to the current electromagnetic valve parameter and a preset single adjustment amount, and update the modified maximum parameter adjustment time as the maximum parameter adjustment time.

10. The electromagnetic valve maintenance method of claim 1, wherein Also included is an adjustment method for the parameter stable range and the electromagnetic valve abnormal parameter critical value, the method comprising: Step 73: acquire an environmental parameter in real time; Step 74: obtain an environmental parameter deviation by differencing the environmental parameter and a preset standard environmental parameter; Step 75: find the parameter stable range and the electromagnetic valve abnormal parameter critical value corresponding to the environmental parameter deviation in a preset environmental parameter mapping table based on the environmental parameter deviation and define them as a modified parameter stable range and a modified electromagnetic valve abnormal parameter critical value; Step 76: redetermine the parameter stable range and the electromagnetic valve abnormal parameter critical value based on the modified parameter stable range and the modified electromagnetic valve abnormal parameter critical value.

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