Abnormality detection method and system applied to solenoid valve system maintenance

Abstract

The application provides an abnormality detection method and system applied to electromagnetic valve system maintenance, relates to the technical field of electromagnetic valve system maintenance, collects operation conduction information and environmental action information of an electromagnetic valve system, constructs a defect conduction path, accurately locates a defect root node, analyzes an abnormal conduction mechanism, and generates an electromagnetic valve maintenance instruction according to the information and a targeted maintenance execution scheme. The application can comprehensively and accurately detect the abnormality of the electromagnetic valve system, accurately locate the defect root, formulate an individualized maintenance scheme, improve the pertinence and effectiveness of maintenance, reduce the system failure rate, ensure the stable operation of the electromagnetic valve system, and improve the reliability and production efficiency of the production process.

Description

Technical Field

[0001] This invention relates to the field of solenoid valve system maintenance technology, and more specifically, to an anomaly detection method and system for solenoid valve system maintenance. Background Technology

[0002] In the field of industrial automation control, solenoid valve systems, as key fluid control components, are widely used in various production processes. Their stable operation plays a crucial role in ensuring production safety, improving production efficiency, and guaranteeing product quality. However, during actual operation, solenoid valve systems are inevitably subject to various abnormal situations due to the influence of a variety of complex factors.

[0003] Currently, the maintenance of solenoid valve systems mainly relies on periodic inspections and experience-based judgment. While periodic inspections can detect potential problems to some extent, their fixed cycle makes it difficult to promptly capture sudden anomalies occurring outside of inspection periods. Furthermore, experience-based judgment often depends on the personal experience and subjective judgment of maintenance personnel, making it difficult to accurately identify and locate some highly concealed anomalies. In addition, existing maintenance methods lack comprehensive collection and in-depth analysis of the transmission information and environmental factors affecting the solenoid valve system's operation. This makes it difficult to accurately grasp the transmission relationships between internal components and the impact of environmental factors on system operation, resulting in significant difficulties in locating the root cause of defects. Maintenance solutions also lack specificity and are unable to effectively resolve abnormal problems during system operation. Summary of the Invention

[0004] In view of the aforementioned problems, and in conjunction with the first aspect of the present invention, embodiments of the present invention provide an anomaly detection method for maintenance of a solenoid valve system, the method comprising: The system collects operational transmission information and environmental impact information of the solenoid valve system. The operational transmission information includes action transmission information, media transmission information, and component linkage information. The environmental impact information includes temperature impact information, humidity impact information, and media impact information. A defect transmission path is constructed between the solenoid valve's operational transmission information and environmental influence information. The defect transmission path presents the transmission logic of environmental influence information causing abnormalities in operational transmission information. The defect root cause node of the solenoid valve system is located based on the defect transmission path. The defect root cause node is the system component or factor that initially triggers abnormal transmission in the defect transmission path. The abnormal propagation mechanism of defect root cause nodes is analyzed, and the process by which defect root cause nodes lead to abnormal system operation is presented. Based on the root cause of the defect and the abnormal transmission mechanism, a targeted maintenance execution plan is adapted, and a solenoid valve maintenance instruction containing the targeted maintenance execution plan is generated. The solenoid valve maintenance instruction guides the implementation of targeted maintenance operations.

[0005] Furthermore, embodiments of the present invention also provide an anomaly detection system for maintenance of a solenoid valve system, characterized in that it includes: A processor; a machine-readable storage medium for storing machine-executable instructions of the processor; wherein the processor is configured to perform the above-described anomaly detection method for maintenance of a solenoid valve system by executing the machine-executable instructions.

[0006] In another aspect, embodiments of the present invention also provide a computer program product, the computer program product including machine-executable instructions stored in a computer-readable storage medium, a processor of an anomaly detection system for solenoid valve system maintenance reading the machine-executable instructions from the computer-readable storage medium, the processor executing the machine-executable instructions, causing the anomaly detection system for solenoid valve system maintenance to perform the above-described anomaly detection method for solenoid valve system maintenance.

[0007] Based on the above, by comprehensively collecting operational and environmental information of the solenoid valve system, a defect propagation path is constructed. This reveals the complete propagation logic of how environmental information triggers abnormal operational information. By locating the root cause node of the defect based on the propagation path, the initial triggering factors of system anomalies can be deeply explored, avoiding the inaccurate location problems caused by incomplete information in traditional methods. Analyzing the abnormal propagation mechanism of the defect root cause node clearly presents the process by which the defect root cause node leads to system operational anomalies. Based on the defect root cause node and abnormal propagation mechanism, a targeted maintenance execution plan is adapted, and solenoid valve maintenance instructions are generated. This allows for the development of personalized maintenance plans for specific defect problems, improving the targeting and effectiveness of maintenance and reducing unnecessary maintenance operations and resource waste. Overall, this method, from information collection, path construction, root cause location, mechanism analysis to plan adaptation, can significantly improve the efficiency and accuracy of solenoid valve system maintenance, reduce the system failure rate, ensure the stable operation of the solenoid valve system, and thus improve the reliability and efficiency of the entire production process. Attached Figure Description

[0008] Figure 1 This is a schematic diagram of the execution flow of the anomaly detection method for maintenance of a solenoid valve system provided in an embodiment of the present invention.

[0009] Figure 2 This is a schematic diagram of exemplary hardware and software components of an anomaly detection system for maintenance of a solenoid valve system provided in an embodiment of the present invention. Detailed Implementation

[0010] The present invention will now be described in detail with reference to the accompanying drawings. Figure 1This is a flowchart illustrating an anomaly detection method for maintenance of a solenoid valve system provided in one embodiment of the present invention. The anomaly detection method for maintenance of a solenoid valve system will be described in detail below.

[0011] Step S110: Collect the operation transmission information and environmental effect information of the solenoid valve system. The operation transmission information includes action transmission information, medium transmission information and component linkage information. The environmental effect information includes temperature effect information, humidity effect information and medium effect information.

[0012] This embodiment uses a solenoid valve system for controlling the flow of hydraulic media on an industrial production line as an example. This solenoid valve system mainly consists of components such as an electromagnetic coil, valve core, valve body, spring, and seals. Its operating status directly affects the hydraulic power transmission of the production line. During the data acquisition phase, multiple types of sensors are deployed to obtain comprehensive operational transmission information and environmental impact information. For motion transmission information, current sensors installed at both ends of the electromagnetic coil collect the current change curve during startup; displacement sensors are set on the valve core's movement trajectory to record position change data during execution; and stress sensors are installed at the spring connection to monitor force changes during the stopping phase. Regarding media transmission information, pressure sensors are installed at the valve body's inlet and outlet to collect pressure data during the transmission path; flow sensors are installed on the pipeline through which the media flows to obtain rate transmission information; and media state monitoring sensors are used to detect the viscosity, density, and other state transmission information of the media. For component linkage information, vibration sensors are installed at various connection points to collect connection linkage information; speed sensors are installed on the drive motors of each component to obtain operational linkage information; and feedback linkage information is collected at the feedback device. Regarding the acquisition of environmental impact information, temperature impact information is obtained through temperature sensors placed at different locations around the solenoid valve system, including thermocouple sensors that detect instantaneous temperature changes and resistance temperature detectors (RTDs) that record continuous temperatures. Simultaneously, historical data from these temperature sensors is analyzed to obtain information on the impact of changing temperatures. Humidity impact information is acquired by ambient humidity sensors, by installing humidity sensors within the media storage device to obtain media humidity information, and by attaching humidity-sensing patches to the component surface to obtain component surface humidity information. Media impact information is then obtained by using specialized media analysis instruments to detect the viscosity, purity, and corrosiveness of the media. All sensors are configured to acquire data at a frequency of 10 times per second to ensure that subtle changes during system operation are captured.

[0013] Step S120: Construct a defect transmission path between the solenoid valve's operation transmission information and environmental effect information. The defect transmission path presents the transmission logic of environmental effect information causing abnormal operation transmission information.

[0014] Step S121: Decompose the transmission links of the collected solenoid valve system operation transmission information, decompose the action transmission information into start transmission information, execution transmission information and stop transmission information, decompose the medium transmission information into path transmission information, rate transmission information and status transmission information, and decompose the component linkage information into connection linkage information, operation linkage information and feedback linkage information.

[0015] In the aforementioned solenoid valve system, the collected operational transmission information is broken down into transmission stages. Specifically, the action transmission information is broken down as follows: Start-up transmission information includes the process information from the energization of the solenoid coil to the generation of a magnetic field, and the preparation stage information before the valve core begins to move; execution transmission information covers the movement process of the valve core under the action of the magnetic field force, and the response information after the medium begins to flow; stop transmission information includes the process information of the disappearance of the magnetic field after the solenoid coil is de-energized, and the process information of the valve core resetting under the action of the spring force. In the breakdown of medium transmission information, path transmission information includes the flow path information of the medium in the internal flow channel of the valve body, and the pressure distribution information of each path; velocity transmission information involves the flow velocity change information of the medium at different locations, and the flow rate change information over time; state transmission information includes the temperature change information and viscosity change information of the medium during the transmission process. In the breakdown of component linkage information, connection linkage information includes the vibration frequency information and displacement deviation information of the connection points between components; operational linkage information covers the coordination information of the drive motor speed and valve core movement, and the power consumption information during the operation of each component; feedback linkage information involves the transmission delay information of the position feedback signal, and the accuracy information of the feedback signal.

[0016] Step S122: Subdivide the environmental action information of the collected solenoid valve system into action types. Subdivide the temperature action information into instantaneous temperature action information, continuous temperature action information, and variable temperature action information. Subdivide the humidity action information into ambient humidity action information, medium humidity action information, and component surface humidity action information. Subdivide the medium action information into viscosity action information, purity action information, and corrosiveness action information.

[0017] The environmental effects on the solenoid valve system described above are further subdivided into different types. Temperature effects are further subdivided into: instantaneous temperature effects, such as the impact of short-term high temperatures generated during welding operations in a production workshop; continuous temperature effects, such as the effects of prolonged exposure to high summer temperatures; and fluctuating temperature effects, such as the effects of diurnal temperature variations on the solenoid valve system. Humidity effects are subdivided into: ambient humidity effects, the effects of overall air humidity within the production workshop; medium humidity effects, the effects of moisture in the hydraulic medium on internal system components; and component surface humidity effects, the effects of moisture adsorbed on the surfaces of various solenoid valve components on their performance. Medium effects are further subdivided into: viscosity effects, the effects of the hydraulic medium's viscosity on its conductivity; purity effects, the effects of impurities in the medium on the valve core's sealing performance; and corrosiveness effects, the effects of the medium on the valve body material's corrosion.

[0018] Step S123: Track the state change trajectory of each transmission link's transmission information within a continuous time period, record the specific performance of each transmission link at different time nodes and the transmission state transition between adjacent time nodes, and form a state change file for each transmission link.

[0019] For the aforementioned solenoid valve system, each time cycle is set to 1 hour, and 24 time cycles are continuously tracked. Taking the execution transmission information transmission link in the action transmission information as an example, the specific performance of the valve core, such as position data, movement speed data, and acceleration data, is recorded at each time node (every 10 minutes is a time node). For example, at the first time node of the first time cycle, the valve core is in its initial position, with a movement speed of 0 and an acceleration of 0; at the second time node, the valve core begins to move, with a position of X1, a movement speed of V1, and an acceleration of A1; the corresponding data is recorded sequentially at subsequent time nodes. At the same time, the transition of the transmission state between adjacent time nodes is recorded in detail, such as the rate of change of the electromagnetic coil current, the gradient of the change of the magnetic force on the valve core, and the dynamic change of the friction force between the valve core and the valve body during the transition from a stationary state to the starting movement state. The above tracking and recording is performed for each transmission link, and finally a state change file for each transmission link is formed, which includes the time cycle, time node, specific performance data, and state transition information.

[0020] Step S124: Track the trajectory of environmental action information of each action form within a continuous time period, record the intensity of each action form at different time nodes and the change of action between adjacent time nodes, and form an action change archive for each action form.

[0021] Similarly, environmental effects are tracked using 24 continuous time periods, each lasting one hour, with each time point lasting 10 minutes. Taking the continuous temperature effect information as an example, the ambient temperature value is recorded as the effect intensity at each time point, along with parameters such as the temperature change rate and temperature fluctuation amplitude. For instance, the temperature at the first time point of the first time period is T1, with a temperature change rate of 0.5℃ / min and a temperature fluctuation amplitude of ±0.3℃; the temperature at the second time point is T2, with a temperature change rate of 0.3℃ / min and a temperature fluctuation amplitude of ±0.2℃. Detailed records are also kept of the effect changes between adjacent time points, such as the duration of temperature rise or fall and the acceleration of temperature change during the transition from T1 to T2. Other effects, such as ambient humidity effects in the humidity effect information and viscosity effects in the medium effect information, are tracked and recorded in the same way, forming an effect change profile for each effect type. The profile includes the time period, time point, effect intensity data, effect change rate, fluctuation amplitude, and effect change details.

[0022] Step S125: Establish a time synchronization association between the transmission link and the action form, so that the state of the operation transmission information and the intensity of the environmental action information within the same time period correspond to each other, and generate a time synchronization association table.

[0023] The state change files and action change files of the aforementioned conduction links are synchronized over time. Using each time period as a unit, the operational conduction information state of each conduction link at different time points within the same time period is mapped one-to-one with the corresponding environmental action information intensity. For example, at the 5th time point of the 3rd time period, the initiation conduction information state in the action transmission information includes current value I, current change rate dI / dt, and magnetic field strength B; the corresponding instantaneous temperature action information intensity in the temperature action information includes T and temperature change rate dT / dt; and the environmental humidity action information intensity in the humidity action information includes H and humidity fluctuation amplitude ΔH, etc. After organizing the above correspondences, a time synchronization association table is generated. The rows of this time synchronization association table represent the time period and time point, the columns represent the conduction link and action form, and the table content includes the corresponding state data and action intensity data.

[0024] Step S126: Within each time period, establish the transmission trigger association between the transmission information of each transmission link and the corresponding environmental action information, present the trigger relationship of the state change of the transmission information under the action of environmental action information, and form multiple initial transmission associations.

[0025] Based on the time synchronization correlation table, the relationship between the changes in the state of the conduction information and the changes in the intensity of environmental effects is analyzed within each time period. Multivariate correlation analysis is used to calculate the correlation coefficients between each environmental effect parameter and the state parameters of the conduction information, and parameter pairs with an absolute correlation coefficient greater than 0.8 are selected. For example, in the 5th time period, analysis reveals that the correlation coefficient between the intensity T of the sustained temperature effect information and the viscosity data μ in the state conduction information is 0.85. Furthermore, when the rate of change of the sustained temperature effect intensity T, dT / dt, exceeds 0.6℃ / min, and the rate of change of the viscosity μ, dμ / dt, exceeds 0.02 Pa·s / min, a significant triggering relationship exists. Therefore, a conduction triggering correlation is established between the sustained temperature effect information (including intensity T and rate of change dT / dt) and the state conduction information of the medium (including viscosity μ and rate of change dμ / dt). By performing the above analysis on all transmission links and action forms within each time period, all combinations with triggering relationships are identified, forming multiple initial transmission associations. Each initial transmission association contains multiple parameters of the triggering action form, multiple state parameters of the triggered transmission link, the trigger threshold of each parameter, and the state change pattern after triggering.

[0026] Step S127: Track the propagation stability of each initial propagation association over multiple consecutive time periods, record the existence state and propagation logic of each initial propagation association in each time period, and retain the initial propagation associations that persist in multiple consecutive time periods and have consistent propagation logic.

[0027] Step S1271: Set the number of continuous time periods for tracking and monitoring. The number of continuous time periods is determined based on the operating cycle characteristics of the solenoid valve system and the changing law of the conduction correlation, and is used to reflect the conduction stability of the initial conduction correlation.

[0028] Based on the operating characteristics of the solenoid valve system, its normal operating cycle is 8 hours. Changes in the transmission correlation usually only become apparent after multiple operating cycles. Therefore, the number of continuous time cycles for tracking and monitoring is set to 30, with each time cycle being 1 hour, to ensure that the stability of the initial transmission correlation can be fully reflected.

[0029] Step S1272: During each tracking time period, using the same data acquisition method as when establishing the initial transmission association, collect the operational transmission information status of the corresponding transmission link and the intensity of the related environmental effects.

[0030] Within each tracking time period, following the data acquisition method described in step S110—that is, using the same sensor type, acquisition frequency (10 times per second), and acquisition accuracy—the operational conduction information status of the corresponding conduction link and the intensity of related environmental influences are acquired. For example, for the initial conduction correlation between continuous temperature influence information and medium state conduction information, continuous temperature data (including intensity T, rate of change dT / dt, and fluctuation amplitude ΔT) and medium viscosity data (including viscosity μ, rate of change dμ / dt, and viscosity gradient dμ / dx) are acquired within each tracking time period.

[0031] Step S1273: Based on the collected data, analyze the transmission triggering relationship of each initial transmission association within the current time period, determine whether the original transmission triggering relationship is still maintained, and record the existence status of the transmission association.

[0032] Within each tracking time period, the collected data is analyzed to determine whether the initial conduction correlation exists. The same multivariate correlation analysis method and threshold conditions used when establishing the initial conduction correlation are employed to check whether each parameter satisfies the triggering relationship. For example, for the initial conduction correlation between continuous temperature effect information and medium state conduction information, it is checked whether the correlation coefficient is still greater than 0.8 when the rate of change of the intensity T of the continuous temperature effect information, dT / dt, exceeds 0.6℃ / min, and the rate of change of the viscosity μ, dμ / dt, exceeds 0.02 Pa·s / min. If yes, the existence status of the initial conduction correlation within the current time period is recorded as "existing"; otherwise, it is recorded as "not existing".

[0033] Step S1274: Compare the propagation logic of each initial propagation association in the current time period with the propagation logic in the previous time period, analyze the logical consistency, and record the specific manifestations of logical consistency or inconsistency.

[0034] The transmission logic includes triggering conditions (threshold ranges of each parameter, correlation coefficient thresholds), and the state change patterns of the triggered transmission links (ranges of change rates of state parameters, trends of change), etc. For example, in the 10th tracking time period, the transmission logic between continuous temperature effect information and medium state transmission information is "when dT / dt>0.6℃ / min and dμ / dt>0.02Pa·s / min, the correlation coefficient R>0.8, μ increases linearly with the increase of T, and the slope k is between 0.05-0.06Pa·s / ℃", while the transmission logic in the 9th time period is "when dT / dt>0.6℃ / min and dμ / dt>0.02Pa·s / min, the correlation coefficient R>0.8, μ increases linearly with the increase of T, and the slope k is between 0.05-0.06Pa·s / ℃", so the two logics are consistent. If the conduction logic in the 10th time period changes to "when dT / dt>0.6℃ / min and dμ / dt>0.02Pa·s / min, the correlation coefficient R=0.75<0.8", or "μ increases non-linearly with the increase of T", then record the logic inconsistency and describe in detail the specific manifestations of the inconsistency, such as a decrease in the correlation coefficient or a change in the trend.

[0035] Step S1275: Count the number of times each initial propagation correlation exists within the continuous tracking time period, calculate the proportion of the number of existences to the total number of tracking periods, and form existence ratio data.

[0036] For each initial propagation correlation, the number of times the state is "existent" within 30 tracking time periods is counted. For example, if an initial propagation correlation exists 25 times within 30 periods, then the number of times it exists is 25, and the existence ratio is approximately 25 / 30 ≈ 83.3%.

[0037] Step S1276: Count the number of times the propagation logic is consistent for each initial propagation association within the continuous tracking time period, calculate the proportion of the number of logical consistency to the total number of tracking periods, and form logical consistency ratio data.

[0038] The statistics show the number of times the transmission logic in the current time period is consistent with the transmission logic in the previous time period within a 30-period tracking period. For example, if an initial transmission correlation has 27 instances of logical consistency within 30 periods, then the number of logical consistency instances is 27, and the logical consistency rate is 27 / 30 = 90%.

[0039] Step S1277: Based on the conduction characteristics of the solenoid valve system during normal operation, organize quantitative reference data related to conduction stability. This quantitative reference data includes a proportional reference value and a logically consistent proportional reference value.

[0040] Analysis of historical data from normal operation of the solenoid valve system determined that the baseline value for the existence ratio is 80%, and the baseline value for the logical consistency ratio is 85%. This means that only initial conduction correlations with an existence ratio of 80% or higher and a logical consistency ratio of 85% or higher are considered stable.

[0041] Step S1278: Compare the existence ratio data and logical consistency ratio data of each initial transmission association with the quantification reference data, and select the initial transmission associations in which both ratio data reach or exceed the benchmark value.

[0042] The presence rate and logical consistency rate of each initial transmission association are compared with 80% and 85%, respectively. For example, if an initial transmission association has a presence rate of 83.3% (above 80%) and a logical consistency rate of 90% (above 85%), then that initial transmission association is selected; if another initial transmission association has a presence rate of 75% (below 80%), then it is removed.

[0043] Step S1279: Analyze the transmission state change data of the selected initial transmission correlation within the tracking period to determine whether the trend of change is stable and whether there are sudden fluctuations exceeding the preset threshold.

[0044] For the selected initial conduction correlations, their conduction status changes over 30 tracking periods are analyzed, including changes in the threshold range of each parameter, correlation coefficient, and slope of the trend. A preset fluctuation threshold of ±10% is set; if the change in a parameter exceeds ±10% of its average value, a sudden fluctuation is considered to exist. For example, if the average correlation coefficient of an initial conduction correlation is 0.85, and it suddenly changes to 0.7 in a certain period, with a change exceeding -10%, a sudden fluctuation is considered to exist.

[0045] Step S12710: Retain the initial transmission associations that have passed the re-verification, and remove the initial transmission associations that have a proportion or logical consistency ratio that does not reach the benchmark value, or that have sudden abnormal fluctuations, to form a stable transmission association set.

[0046] After the above steps, the initial transmission associations selected are re-verified, and those associations with proportions or logical consistency ratios that do not meet the benchmark value or have sudden abnormal fluctuations are removed. The remaining initial transmission associations form a stable transmission association set.

[0047] Step S128: Connect the initial transmission associations that are continuous and stable according to the transmission link category of the transmission information. Connect the initial transmission associations of the same category according to the order of the transmission links to form the transmission sub-path corresponding to each transmission link. The transmission sub-path reflects the abnormal transmission logic of a single transmission link.

[0048] The initial transmission associations in the stable transmission association set are classified according to the transmission link category of operational transmission information (action transmission information, medium transmission information, and component linkage information). Taking the action transmission information category as an example, it includes transmission links such as start transmission information, execution transmission information, and stop transmission information. Based on the sequence of these transmission links in the operation of the solenoid valve system, the initial transmission associations belonging to the same category are connected in series. For example, first there are the initial transmission associations for start transmission information (such as the association between electromagnetic coil current and temperature), then the initial transmission associations for execution transmission information (such as the association between valve core displacement and medium pressure), and finally the initial transmission associations for stop transmission information (such as the association between valve core reset speed and spring stress). These are connected sequentially to form the transmission sub-paths corresponding to the action transmission information. Similarly, the initial transmission associations under the medium transmission information and component linkage information categories are connected in series to form their respective corresponding transmission sub-paths. Each transmission sub-path reflects the abnormal transmission logic of a single transmission link.

[0049] Step S129: Integrate all conduction sub-paths, extract common conduction links in different conduction sub-paths, establish the correlation between common conduction links, supplement the connection and conduction information between conduction sub-paths, and form a conduction framework covering all conduction links and action forms.

[0050] Step S1291: Extract the information on conduction links, conduction relationships and conduction directions contained in each conduction sub-path, establish a summary table of conduction sub-path information, and comprehensively present the core content and structural features of each conduction sub-path.

[0051] For the action transmission information transmission sub-path, the medium transmission information transmission sub-path, and the component linkage information transmission sub-path, extract the transmission links (such as start transmission information, path transmission information, etc.), transmission associations (such as the association between continuous temperature effect information and medium state transmission information, etc.), and transmission direction information (such as environmental effect information pointing to operation transmission information, etc.) contained in them. Organize the above information into a transmission sub-path information summary table. The columns of the table include the transmission sub-path name, transmission link, transmission association (including triggering parameters, triggered parameters, correlation coefficients, threshold conditions), and transmission direction.

[0052] Step S1292: Compare the transmission links in different transmission sub-paths, identify transmission sub-paths with common transmission links by comparing link names and functional descriptions, and mark the common transmission links as connection nodes between different transmission sub-paths.

[0053] By comparing the transmission links in the action transmission information transmission sub-path and the medium transmission information transmission sub-path, it was found that the "valve core dynamic response" transmission link exists in both sub-paths. In the action transmission information transmission sub-path, this link manifests as the dynamic changes in the valve core's displacement, velocity, and acceleration with the electromagnetic coil current; in the medium transmission information transmission sub-path, it manifests as the dynamic influence of the valve core's displacement changes on the medium flow path, velocity, and pressure. By comparing their functional descriptions, this was confirmed as a common transmission link, and it was marked as the connecting node between the action transmission information transmission sub-path and the medium transmission information transmission sub-path. Similarly, the existence of common transmission links between other transmission sub-paths was checked and marked.

[0054] Step S1293: Analyze the transmission role of the common transmission link in each relevant transmission sub-path, and determine whether it is the transmission start point, transmission intermediate node or transmission end point in different sub-paths by transmission direction and correlation, and record the role distribution of each common transmission link.

[0055] Taking the common transmission link of "valve core dynamic response" as an example, in the action transmission information transmission sub-path, it is the intermediate node after the transmission of information is initiated, receiving the magnetic force of the electromagnetic coil and outputting the dynamic displacement signal of the valve core; in the medium transmission information transmission sub-path, it is the starting point of the transmission of path transmission information, outputting the influence signal of the valve core displacement on the medium flow. Record the role distribution of "valve core dynamic response" in different sub-paths, such as "Action transmission information transmission sub-path - intermediate node (input: magnetic force, output: valve core displacement)" and "Medium transmission information transmission sub-path - starting point (input: valve core displacement, output: medium flow field distribution)".

[0056] Step S1294: Trace the transmission connection logic of the common transmission link in each relevant transmission sub-path, compare the input and output information of the common transmission link in different sub-paths, and determine the transmission connection relationship formed by the common transmission link in different sub-paths.

[0057] In the motion transmission information transmission sub-path, the input information for the "valve core dynamic response" is the magnetic force F of the electromagnetic coil (including magnitude, direction, and rate of change dF / dt), and the output information is the valve core's displacement x, velocity v, and acceleration a. In the medium transmission information transmission sub-path, the input information for the "valve core dynamic response" is the valve core's displacement x and velocity v, and the output information is the medium's flow path change ΔL, velocity distribution u(x,y,z), and pressure gradient dp / dx. By comparing these input and output information, it is determined that the output information (x,v,a) of the motion transmission information transmission sub-path is the input information of the medium transmission information transmission sub-path, thus forming a transmission connection between the two. That is, the valve core's dynamic response is the key bridge connecting electromagnetic drive and medium flow.

[0058] Step S1295: Extract the information of the conduction end in each conduction sub-path that does not connect with other sub-paths, analyze the function and conduction direction of the conduction end, and determine whether there are any subsequent conduction links that have not been included in the conduction end.

[0059] For example, the endpoint of the component linkage information transmission sub-path is the "feedback signal dynamic characteristic," whose function is to feed back dynamic parameters of the system's operating status (such as valve core position deviation Δx and medium pressure fluctuation Δp) to the control system. The transmission direction is from the component linkage information to the external control system. Analysis of its function reveals that the subsequent transmission links at this endpoint should include dynamic adjustment actions performed by the control system based on the feedback signal, such as adjusting the power supply voltage or current of the solenoid coil to correct the valve core position deviation. Therefore, it is determined that there are subsequent transmission links that have not been included at this endpoint.

[0060] Step S1296: If there are any subsequent transmission links that have not been included, supplement the subsequent transmission links and their corresponding transmission association information, connect the isolated transmission sub-paths with the relevant subsequent transmission links, and improve the overall transmission logic.

[0061] For the subsequent transmission link of "dynamic characteristics of feedback signal"—"dynamic adjustment of control system"—supplementary transmission link and corresponding transmission correlation information are provided. This transmission correlation information includes the deviation thresholds Δx0 and Δp0 of the feedback signal, the response time τ of the control system, and the calculation model of the adjustment amount (e.g., voltage adjustment ΔU=KpΔx+Ki∫Δxdt+KddΔx / dt based on PID control algorithm). The component linkage information transmission sub-path is connected to "dynamic characteristics of feedback signal" and "dynamic adjustment of control system" to form a transmission logic of "component linkage information → dynamic characteristics of feedback signal → dynamic adjustment of control system → action transmission information (electromagnetic coil power supply)," thus improving the overall transmission logic.

[0062] Step S1297: Integrate all conduction sub-paths into the overall conduction network formed by common conduction links and supplementary conduction information, and check whether each conduction link has been included in the overall network to avoid missing any conduction links.

[0063] The transmission sub-paths, such as action transmission information, medium transmission information, and component linkage information, are integrated into a unified transmission network through common transmission links and supplementary transmission information. Each previously separated transmission link is checked individually, such as start-up transmission information, execution transmission information, path transmission information, rate transmission information, connection linkage information, and operational linkage information, ensuring that each transmission link is included in the overall transmission network. For example, check whether the transmission link of "dynamic change of spring elastic force" is included, as this link has a significant impact on the valve core's stop transmission information; if not included, it needs to be added.

[0064] Step S1298: Identify the transmission logic conflicts existing in the overall transmission network. For cases where there are different transmission directions in the same transmission link, determine the reasonable transmission direction based on the actual state change data of the transmission information and eliminate the logic conflicts.

[0065] In the overall transmission network, if a transmission link is found to have two different transmission directions, such as "medium pressure change" being directed both to "valve core displacement" (medium pressure pushing the valve core) and "electromagnetic coil current" (pressure feedback adjustment current), then analysis is performed based on the actual operational transmission information's state change data. By analyzing the causal relationship and time series of the two, it is found that "medium pressure change" occurs after "valve core displacement." Therefore, "valve core displacement → medium pressure change" is the primary transmission direction, while "medium pressure change → electromagnetic coil current" is the feedback adjustment direction. The two are not in conflict but constitute a closed-loop control. The primary and secondary transmission directions are determined based on actual data, eliminating logical conflicts.

[0066] Step S1299: According to the sequence of conduction links and the order of action of environmental information, the overall conduction network is structurally organized, the conduction levels are divided, and a clear conduction framework is formed.

[0067] Based on the sequence of transmission links and the order of environmental influences during the operation of the solenoid valve system, the overall transmission network is structurally organized. Environmental influences are designated as the first level (input layer), including temperature, humidity, and media effects; action transmission information is designated as the second level (drive layer), including the start / execution / stop transmission of the solenoid coil and valve core; media transmission information is designated as the third level (transmission layer), including media path, speed, and state transmission; component linkage information is designated as the fourth level (linkage layer), including connection, operation, and feedback linkage; and dynamic adjustment of the control system is designated as the fifth level (feedback layer). This forms a clearly hierarchical transmission framework, with information exchange between levels achieved through common transmission links.

[0068] Step S12910: In the document of the transmission framework, mark the connection position and transmission logic of each transmission association, and describe in words the relationship between all transmission sub-paths and the complete transmission logic.

[0069] In the documentation of the conduction framework, for each conduction association, such as the association between continuous temperature effect information and medium state conduction information, its specific connection position in the conduction framework is marked, such as being located between the first level (environmental effect information) and the third level (medium conduction information). At the same time, the conduction logic of the conduction association is explained in detail in words, such as "When the intensity T of continuous temperature effect information is greater than 50℃ and the temperature change rate dT / dt is greater than 0.6℃ / min, the viscosity μ in the medium state conduction information increases linearly with temperature, with a correlation coefficient R = 0.85 and a slope k = 0.05 Pa·s / ℃, that is, μ = μ0 + k(T - T0), where μ0 is the viscosity at T0 = 25℃". In addition, the relationships between all transmission sub-paths are described in text form through common transmission links, such as "the action transmission information transmission sub-path is connected to the medium transmission information transmission sub-path through the 'valve core dynamic response' link, which converts the electromagnetic drive signal into a medium flow signal", and the complete closed-loop transmission logic from environmental action information (input layer) → action transmission information (drive layer) → medium transmission information (transmission layer) → component linkage information (linkage layer) → control system dynamic adjustment (feedback layer) → action transmission information (drive layer).

[0070] Step S1210: Supplement the transmission duration, transmission intensity change and transmission influence range information of each transmission association in the transmission framework, integrate them to form a defect transmission path, and present the whole transmission process of the environmental effect causing the operational abnormality.

[0071] For each conduction correlation in the conduction framework, supplement relevant information. The conduction duration refers to the time elapsed from the onset of environmental influence to a change in the state of the operational conduction information. For example, the time interval τ1 = 120s from the start of continuous temperature influence at T = 50℃ to the start of a change in medium viscosity μ, and the time τ2 = 300s for the viscosity change to reach a stable value. The change in conduction intensity refers to the change in the intensity of the environmental influence and the magnitude of the change in the state of the operational conduction information. For example, when the temperature rises from T1 = 50℃ to T2 = 60℃ (ΔT = 10℃), the rate of temperature change dT / dt increases from 0.6℃ / min to 0.8℃ / min; when the medium viscosity increases from μ1 = 0.05 Pa·s to μ2 = 0.10 Pa·s (Δμ = 0.05 Pa·s), the rate of viscosity change dμ / dt increases from 0.02 Pa·s / min to 0.03 Pa·s / min. The transmission influence range information refers to the degree and scope of influence of the transmission correlation on subsequent transmission links. For example, changes in medium viscosity will affect the rate transmission information (flow velocity decrease Δu = 0.2 m / s) and path transmission information (flow resistance increase Δf = 5 N) in the medium transmission information, and thus affect the execution transmission information (valve core movement speed decrease Δv = 0.1 mm / s) and the connection linkage information (vibration amplitude increase ΔA = 0.05 mm) in the component linkage information. Integrating the above supplementary information into the transmission framework forms a complete defect transmission path. This defect transmission path can present the entire process from environmental influence information, through a series of transmission links, to ultimately causing the abnormal operation of the solenoid valve system.

[0072] Step S130: Locate the root cause node of the defect in the solenoid valve system based on the defect transmission path. The root cause node is the system component or factor that initially triggers abnormal transmission in the defect transmission path.

[0073] Step S131: Analyze the overall transmission structure of the defect transmission path, extract all transmission associations, transmission links, action forms and connection relationships between the parts contained in the defect transmission path, and generate a transmission structure analysis report.

[0074] A comprehensive structural analysis of the defect transmission path in the aforementioned solenoid valve system is conducted. First, all transmission relationships within the defect transmission path are comprehensively reviewed, such as the relationship between continuous temperature information (T, dT / dt) and medium state information (μ, dμ / dt), the relationship between medium viscosity μ and valve core movement resistance F, and the relationship between valve core movement resistance F and valve core dynamic response (x, v, a). All transmission links are also analyzed, including initiation transmission information, execution transmission information, path transmission information, rate transmission information, connection linkage information, and feedback linkage information. All action forms are also examined, such as instantaneous temperature effect information, continuous temperature effect information, ambient humidity effect information, and medium viscosity effect information. Then, the connection relationships between each part are analyzed, such as the correspondence between transmission relationships and transmission links (one transmission relationship corresponds to two transmission links), the sequential relationship between transmission links, and the triggering relationship between action forms and transmission links. The above information is compiled into a transmission structure analysis report, which details the transmission association list (including triggering parameters, triggered parameters, correlation coefficients, and threshold conditions), the transmission link list (including input and output parameters and functional descriptions), the action form list (including action parameters and action range), and the connection relationship diagram between each part (directed graph, where nodes represent transmission links / action forms and edges represent transmission associations / action relationships).

[0075] Step S132: Extract the transmission direction of each transmission association in the defect transmission path, and determine the unidirectional transmission direction of the transmission information from the environmental action information to the operation transmission information through transmission signal flow direction analysis, forming a transmission direction map.

[0076] For each transmission correlation in the defect transmission path, its transmission direction is analyzed. The transmission direction is determined by the causal relationship and time series of the signals, i.e., the cause parameter points to the result parameter. For example, if the continuous temperature effect information (T, dT / dt) is the cause and the medium state transmission information (μ, dμ / dt) is the result, then the transmission direction is continuous temperature effect information → medium state transmission information; if the medium viscosity μ is the cause and the valve core movement resistance F is the result, then the transmission direction is medium viscosity μ → valve core movement resistance F; if the valve core movement resistance F is the cause and the valve core dynamic response (x, v, a) is the result, then the transmission direction is F → valve core dynamic response. By analyzing the transmission signal flow direction of all transmission correlations, it is determined that the overall transmission information is unidirectional from environmental effect information to operational transmission information. Based on these analysis results, a transmission direction map is drawn. The map clearly shows the transmission direction of each transmission correlation and the overall transmission flow direction (e.g., environmental effect information → medium transmission information → action transmission information → component linkage information) with directed edges with arrows.

[0077] Step S133: Trace the starting point of the defect propagation path, reverse the propagation information from the end of the propagation path, check the upstream propagation source of each propagation association one by one, and record the upstream association information of each propagation association.

[0078] Starting from the abnormal operation transmission information at the end of the defect transmission path, such as the "abnormal dynamic characteristics of feedback signal" in the component linkage information (specifically manifested as valve core position deviation Δx exceeding the allowable range of ±0.05mm, pressure fluctuation Δp exceeding ±0.1MPa), we begin to deduce backwards. We examine which transmission correlation caused this abnormality. For example, if it is caused by "abnormal valve core dynamic response" (the rate of change of valve core displacement x, dx / dt, is lower than the normal range, and the velocity v is smaller), then "abnormal valve core dynamic response" is the upstream transmission source of this correlation. Next, we investigate the upstream transmission source of "abnormal valve core dynamic response," such as "increased valve core movement resistance F" (F resistance exceeding the normal range F0±5%), and so on, tracing back to "increased medium viscosity μ" (μ exceeding the normal range μ0±10%), and then to "abnormal continuous temperature effect information" (T exceeding the normal range T0±5℃, dT / dt exceeding the normal range ±0.2℃ / min). Record the upstream correlation information for each conduction correlation to form an upstream correlation information chain: abnormal dynamic characteristics of feedback signal ← abnormal dynamic response of valve core ← increased valve core movement resistance F ← increased medium viscosity μ ← abnormal information due to continuous temperature effect.

[0079] Step S134: Identify all initial conduction associations in the conduction path, and identify conduction associations that have no upstream conduction source and are directly caused by environmental factors or system components through upstream association information, and mark them as initial conduction associations.

[0080] Based on the upstream correlation information chain, each conductive correlation is investigated to determine if it has an upstream source. For conductive correlations without an upstream source, directly caused by environmental factors or system components, they are marked as initial conductive correlations. For example, the conductive correlation "abnormal continuous temperature effect information → increased medium viscosity μ" is marked as an initial conductive correlation if there are no other conductive correlations in its upstream correlation information chain, meaning the abnormal continuous temperature effect information is directly caused by environmental factors (such as temperature runaway due to a workshop air conditioning malfunction). Similarly, the conductive correlation "aging insulation between electromagnetic coil turns → increased coil resistance R → decreased current I → decreased magnetic force F → abnormal dynamic response of the valve core" is marked as an initial conductive correlation if the aging insulation between electromagnetic coil turns is a defect in the system component itself and has no upstream source.

[0081] Step S135: Calculate the transmission influence range of each initial transmission association in the transmission path, define key initial transmission associations based on the size of the influence range, and form a list of key initial transmission associations.

[0082] For each initial conduction correlation, its conduction impact range is statistically analyzed from the following three dimensions: (1) Number of affected conduction links N: The total number of conduction links affected in subsequent conduction paths after the initial conduction correlation causes an anomaly; (2) Number of affected system functional modules M: The number of system functional modules (such as drive module, medium transmission module, control module, etc.) involved in the affected conduction links; (3) Cumulative value of anomaly degree S: The sum of the anomaly degree (such as parameter deviation percentage) of each affected conduction link. For example, the initial conduction correlation "abnormal information of continuous temperature action → increase in medium viscosity μ" has the following impacts: the number of affected conduction links N=5 (medium state conduction, valve core resistance, valve core dynamic response, medium rate conduction, feedback signal), the number of affected system functional modules M=3 (medium transmission module, drive module, control module), and the cumulative value of anomaly degree S=(μ deviation 20%)+(F resistance deviation 15%)+(v deviation 10%)+(u deviation 12%)+(Δx deviation 8%)=65%. Based on the size of the impact range (the weighted sum of N, M, and S, with the weight coefficients set according to the importance of the system as wN=0.4, wM=0.3, wS=0.3), the comprehensive impact index I=0.4N+0.3M+0.3S is calculated. The I values ​​are sorted, and the top 20% of the initial transmission associations are selected as key initial transmission associations, forming a list of key initial transmission associations.

[0083] Step S136: For each key initial transmission association, retrieve the corresponding abnormal performance of operational transmission information and environmental effect information records, analyze the direct correlation between the two by comparing the correlation features, and generate the correlation analysis results.

[0084] For each association in the key initial conduction association list, such as "abnormal continuous temperature effect information → increased medium viscosity μ", retrieve the abnormal performance of the operation conduction information (real-time monitoring data of medium viscosity μ, including μ value, dμ / dt, frequency spectrum characteristics of μ) and the environmental effect information record (real-time monitoring data of continuous temperature T, including T value, dT / dt, fluctuation spectrum of T). Compare and analyze the following association characteristics: (1) Time domain characteristics: whether the change trends of μ and T are consistent (synchronous increase or synchronous decrease), and whether the time delay τ (the time when T changes before μ changes) is within the normal conduction duration; (2) Frequency domain characteristics: whether the fluctuation frequency components of μ are correlated with the fluctuation frequency components of T (by cross power spectrum analysis, determine whether the coherence coefficient on the main frequency components is greater than 0.7); (3) Threshold breakthrough order: whether T breaks through the threshold T0 first, and then μ breaks through the threshold μ0 (consistent with causal relationship). Generate correlation analysis results, describing in detail the comparison of the above features, such as "μ and T have the same trend, correlation coefficient R=0.92, time delay τ=118s (within the normal conduction duration of 120±10s), coherence coefficient =0.85>0.7 on the 0.1Hz frequency component, T breaks through the threshold T0=50℃ at t=100s, μ breaks through the threshold μ0=0.05Pa·s at t=218s, the breakthrough order conforms to the causal relationship, and it is determined that there is a direct correlation between the two."

[0085] Step S137: Simulate the removal of environmental action information or system components corresponding to each key initial transmission association, build a solenoid valve system transmission simulation platform to reproduce the complete transmission process of the defect transmission path, and continuously monitor the transmission process after performing the simulation removal operation.

[0086] Step S1371: Build a solenoid valve system conduction simulation platform. This solenoid valve system conduction simulation platform has the function of reproducing the complete conduction process of the defect conduction path, supports the simulation operation of removing specific environmental action information or system components, and can collect conduction process data in real time.

[0087] A multi-physics coupling-based simulation platform for solenoid valve system conduction was built, integrating solvers from electromagnetics, fluid mechanics, solid mechanics, and thermodynamics. The platform can construct a digital twin model based on the solenoid valve system's 3D geometric model, material properties (such as the resistivity temperature coefficient of the solenoid coil, the elastic modulus of the valve core, and the viscosity-temperature characteristics of the medium), and boundary conditions (such as supply voltage and medium inlet pressure), reproducing the complete conduction process of defect transmission paths. The platform supports the individual removal of specific environmental effects (e.g., setting the continuous temperature effect T to the normal range T0±5℃ to shield abnormal temperature fluctuations) or system components (e.g., setting the resistance R of the solenoid coil to the normal range R0±5% to simulate replacing a new coil) through parameterized settings. It can also collect state parameters of each conduction link in real time (sampling frequency 1kHz), such as magnetic field strength, valve core displacement, medium pressure, flow rate, temperature, humidity, and vibration data, and store them in a database.

[0088] Step S1372: Digitally model the complete transmission process of the defect transmission path, and transform the transmission correlation, transmission link, action form and transmission logic into a digital model that can be recognized by the solenoid valve system transmission simulation platform. Based on the transmission correlation, transmission link, action form and transmission logic recorded in the defect transmission path, set the parameters and logical relationships of the digital model.

[0089] The information such as the conduction correlation, conduction link, action form and conduction logic in the defect conduction path is transformed into a digital model that can be recognized by the simulation platform. Specifically, it includes: (1) Conduction link modeling: Each conduction link is abstracted into a module containing input and output parameters, such as "electromagnetic coil module" (input: voltage U, temperature T; output: resistance R, current I, magnetic force F), "valve core module" (input: magnetic force F, medium resistance F; output: displacement x, velocity v), "medium module" (input: temperature T, valve core displacement x; output: viscosity μ, flow velocity u, pressure p), etc.; (2) Conduction correlation modeling: The conduction correlation is represented as a parameter transfer function between modules, such as the correlation function between medium viscosity μ and temperature T. (where α is the viscosity temperature coefficient), the correlation function between valve core resistance F_resistance and viscosity μ is F_resistance (where A is the viscous resistance coefficient and B is the elastic resistance coefficient); (3) Action mode modeling: use environmental action information as the external input boundary condition of the model, such as setting the temperature action information T(t) as a function that changes with time; (4) Transmission logic modeling: implement the transmission logic through control flow statements (such as if-else condition judgment), such as "if T(t)>T0 and dT / dt>dT0 / dt then μ=μ(T) else μ=μ0". Based on the specific information recorded in the defect transmission path, such as the correlation coefficient of transmission association, threshold conditions (T0=50℃, dT0 / dt=0.6℃ / min), and the range of input and output parameters of the transmission link, set the parameters and logical relationships of the digital model to ensure that the model can accurately reproduce the defect transmission process (such as the deviation of abnormal values ​​of parameters such as medium viscosity μ and valve core displacement x obtained by simulation from actual monitoring data is less than 5%).

[0090] Step S1373: Following the order of the key initial transmission association list, select the environmental action information or system component corresponding to each key initial transmission association as the simulated removal object to form a simulated removal object list.

[0091] Based on the list of key initial conductive associations, determine the environmental impact information or system components corresponding to each association. For example, for the association "abnormal continuous temperature impact information → increased medium viscosity μ", the corresponding simulation removal object is "abnormal continuous temperature impact information"; for the association "aging of electromagnetic coil inter-turn insulation → increased resistance R → decreased current I → decreased magnetic force F → abnormal valve core dynamic response", the corresponding simulation removal object is "aging electromagnetic coil" (i.e., simulating the replacement of a new coil and removing the effect of the aging coil). Organize the above objects into a simulation removal object list according to the list order, such as a list including: 1. Abnormal continuous temperature impact information; 2. Aging electromagnetic coil; 3. Worn seals (if it is another key initial conductive association), etc.

[0092] Step S1374: Start the simulated transmission process of the defect transmission path in the solenoid valve system transmission simulation platform. After the transmission process enters a stable state, perform the simulated removal operation according to the simulated removal object list to disable the function or role of the removed object.

[0093] Load the digital model into the simulation platform, set initial conditions (e.g., initial temperature T=25℃, initial medium viscosity μ=0.05Pa·s), and start the simulated transmission process of the defect transmission path. Run the simulation for a period of time (e.g., 300s), waiting for the parameters in the transmission process (e.g., temperature T, viscosity μ, valve core displacement x) to enter a stable change phase (parameter change rate d / dt tends to stabilize without drastic fluctuations), indicating that the transmission process has entered a stable state. Then, based on the list of objects to be removed in the simulation, select the object to be removed and execute the simulation removal operation. For example, when removing "abnormal continuous temperature effect information," change the temperature boundary condition from the abnormal function... Modify the function to the normal value T(t) = 35 ± 2℃; when removing the "aged electromagnetic coil", change the coil resistance parameter from the abnormal value R = R0 + ΔR to the normal range R = R0 ± 5% (where R0 is the standard resistance of the new coil). Disable the abnormal action or function of the removed object to restore it to its normal state.

[0094] Step S1375: Activate the real-time monitoring function of the solenoid valve system conduction simulation platform, continuously collect conduction process data after simulation removal, and record the changes in the operation and conduction information status of each conduction link in the conduction path and the maintenance of conduction association.

[0095] After performing the simulated removal operation, the simulation platform's real-time monitoring function is activated. This real-time monitoring function continuously collects operational conduction information status data for each conduction link in the conduction path at a sampling frequency of 1kHz, such as the current I and magnetic field strength B of the electromagnetic coil, the displacement x, velocity v, and acceleration a of the valve core, the viscosity μ, flow velocity u, and pressure p of the medium, and the deviations Δx and Δp of the feedback signal. Simultaneously, by comparing the conduction correlation parameters (such as correlation coefficients and threshold exceedances) before and after the simulated removal, it records whether the conduction correlation still exists, such as whether the correlation coefficient between the medium viscosity μ and temperature T drops from 0.92 to below 0.3 (indicating the correlation has disappeared), and whether the correlation function between the valve core resistance F and viscosity μ has returned to normal. The above data is stored in the database in real time, with the storage format including timestamp t, conduction link name, parameter name, parameter value, and unit.

[0096] Step S1376: Analyze the conduction integrity of the conduction path after the simulation removal. By comparing the conduction path structure and conduction data before and after removal, determine whether it can still be conducted from the initial point of action to the terminal abnormal operation conduction information node.

[0097] The conduction path structure and data before and after the simulated removal operation are compared. The conduction path structure comparison includes whether the number of conduction associations and the direction of conduction have changed; the conduction data comparison includes whether the time series curves, statistical characteristics (mean, variance, maximum, minimum), and frequency domain characteristics (main frequency components, energy distribution) of each conduction link parameter have changed. After removal, it is analyzed whether the conduction path can still proceed from the initial environmental action information or the action point of the system component, sequentially passing through each conduction link, and finally conducting to the abnormal operation conduction information node at the end. For example, after removing the "abnormal continuous temperature action information," it is checked whether the medium viscosity μ has recovered to the normal range μ0±10%, and subsequently whether the valve core resistance F has recovered, whether the valve core dynamic response (x,v,a) is normal, and whether the dynamic characteristics of the final feedback signal have returned to normal (Δx≤±0.05mm, Δp≤±0.1MPa). If the end abnormality disappears, the conduction path is judged to be incomplete (abnormal conduction is blocked); if the end abnormality still exists, the conduction path is judged to be complete (abnormal conduction is not blocked).

[0098] Step S1377: If the transmission path cannot complete the transmission after the simulation removal, record in detail the initial transmission association corresponding to the removed object and the specific location and reason for the transmission interruption, forming a transmission interruption analysis record.

[0099] If, after simulation removal, the conduction path cannot be transmitted from the initial point of action to the terminal abnormal node, such as after removing the "abnormal continuous temperature action information," the simulation data shows that: T recovers to 35±2℃, μ recovers to 0.05±0.005Pa·s, F resistance recovers to F0±5%, x recovers to the normal displacement range, Δx=0.03mm≤±0.05mm, Δp=0.08MPa≤±0.1MPa, and the terminal abnormality disappears, it indicates that the conduction path is interrupted. At this time, the initial conduction correlation corresponding to the removed object (abnormal continuous temperature action information → increased medium viscosity μ), the specific location of the conduction interruption (the medium module in the medium conduction link), and the cause (after the temperature abnormality is removed, the viscosity returns to normal, blocking the subsequent resistance increase → valve core abnormality → feedback abnormality conduction chain) should be recorded in detail to form a conduction interruption analysis record.

[0100] Step S1378: If the conduction path can still complete the conduction after the simulation is removed, continue to monitor the conduction strength and stability of the subsequent conduction links, collect conduction strength data and stability-related parameters, and determine whether there is conduction weakening or conduction delay.

[0101] If the simulated conduction path can still complete the entire conduction process after removal, such as after removing the "worn seal," the abnormal feedback signal at the end still exists, but the degree of abnormality is reduced, indicating that conduction weakening exists. In this case, continuously monitor the conduction strength data of subsequent conduction stages (e.g., the percentage deviation of abnormal parameters, decreasing from 20% to 10%) and stability-related parameters (e.g., the variance of parameter fluctuations, decreasing from 0.02 to 0.01). The basis for judging conduction weakening is that the degree of abnormality decreases but does not disappear; the basis for judging conduction delay is that the conduction duration τ increases (e.g., from 120s to 180s). For example, after removing information about the effect of a certain ambient humidity, the abnormal deviation of the medium viscosity μ decreases from 15% to 8% (conduction weakening), and the viscosity change is delayed from occurring 120s after the temperature change to occurring 180s (conduction delay).

[0102] Step S1379: Repeat the above simulation operation and monitoring analysis process for each key initial transmission association corresponding to the removed object, and organize all the monitoring records of the simulated removal operation and the transmission integrity analysis results, classify and summarize them according to the simulated removal object, and form a simulation removal analysis report.

[0103] According to the list of objects to be removed in the simulation, the above-mentioned simulation removal, monitoring, and analysis process is performed sequentially on each object corresponding to a key initial transmission association. The monitoring records (parameter time series curves, statistical characteristic values) and transmission integrity analysis results (transmission integrity / interruption, interruption location / cause, transmission weakening / delay) for each object are compiled and summarized, categorized by the objects to be removed in the simulation, to form a simulation removal analysis report. The report includes the simulation settings parameters for each object, parameter comparison charts before and after removal, transmission path change analysis, and conclusions (e.g., "After removing the abnormal continuous temperature effect information, the transmission path is interrupted, the terminal abnormality disappears, and this initial transmission association is determined to be a candidate for a defect root cause node").

[0104] Step S138: Monitor whether the defect propagation path after simulation removal can still form a complete propagation logic, record the changes in the propagation state of the propagation path, and filter out the initial propagation associations that cannot form a complete propagation logic after removal.

[0105] Based on the simulation removal analysis report, monitor the changes in the conduction status of the defect conduction path after the removal of each simulated object. Changes in conduction status include whether the conduction association is broken, whether the parameters of the conduction link return to normal, and whether the terminal anomaly disappears. For initial conduction associations where the defect conduction path cannot form a complete conduction logic after removal (i.e., conduction is interrupted and the terminal anomaly disappears), such as "abnormal information due to continuous temperature action → increased medium viscosity μ" or "aging of inter-turn insulation of electromagnetic coil → increased resistance R → decreased current I → decreased magnetic force F → abnormal dynamic response of valve core," these are filtered out.

[0106] Step S139: Select the environmental action information or system components corresponding to the initial transmission association as candidate root source nodes, retrieve the standard action performance data of the candidate root source nodes under normal operating conditions, and collect the actual action performance data of the candidate root source nodes under the current operating conditions.

[0107] The environmental effects or system components corresponding to the initial conduction correlations are identified as candidate root cause nodes, such as "abnormal continuous temperature effects" (abnormal environmental effects) and "aging electromagnetic coil" (system component defects). Standard performance data of these candidate root cause nodes under normal operating conditions are retrieved from the solenoid valve system's design documents and historical normal operation database. This includes standard data for normal continuous temperature effects (T0=35±2℃, dT0 / dt≤0.2℃ / min, fluctuation amplitude ΔT0≤±0.5℃) and standard performance data for normal electromagnetic coils (resistance R0=100±5Ω, current I0=2.2±0.1A, magnetic field strength B0=0.5±0.05T, temperature coefficient α=0.004 / ℃). Simultaneously, real-time performance data of the candidate root cause nodes under their current operating conditions is collected using sensors, such as the real-time curve of the current continuous temperature T(t), and the current electromagnetic coil resistance R (measured using the voltmeter-ammeter method), current I, and magnetic field strength B (measured using a gaussmeter).

[0108] Step S1310: Compare the current performance of the candidate root cause nodes with the standard performance, trace the role of the difference in the defect propagation path, identify the candidate root cause nodes corresponding to the differences that can cause propagation abnormalities as the defect root cause nodes of the solenoid valve system, organize the type, location of action and initial abnormal performance information of the defect root cause nodes, and form a detailed list of defect root cause nodes.

[0109] Step S13101: Retrieve the construction technical documents and normal operation standard manual of the solenoid valve system, and find the standard action performance corresponding to the candidate root cause node. The standard action performance includes action intensity, action range, action sequence and action feedback related data.

[0110] Consult the technical documentation (such as design drawings, bill of materials, performance specifications) and normal operation manual of the solenoid valve system to obtain standard performance data for candidate root cause nodes. For example, for an electromagnetic coil (model AC220V, 50Hz, power 10W), standard performance includes: operating strength (rated voltage 220±10%V, rated current 2.2±0.1A, rated magnetic field strength 0.5±0.05T); operating range (temperature range -10~60℃, humidity range 10%~90%RH); operating timing (response time ≤0.1s, release time ≤0.05s); and operating feedback data (coil temperature rise ≤60K, insulation resistance ≥100MΩ).

[0111] Step S13102: Using the same acquisition method, acquisition frequency and acquisition accuracy as the acquisition standard performance data, acquire the actual performance data of the candidate root source node in the current running state.

[0112] For the electromagnetic coil as a candidate root cause node, the same acquisition method as when acquiring standard data was used: voltage was acquired using a high-precision voltage sensor (accuracy ±0.1%FS), current using a Hall current sensor (accuracy ±0.2%FS), magnetic field strength using a teslameter (accuracy ±1%FS), and temperature using an embedded thermocouple (accuracy ±0.5℃). The acquisition frequency was 1kHz, and the acquisition accuracy matched the accuracy requirements of the standard data (e.g., current acquisition accuracy better than ±0.02A, meeting the standard current requirement of ±0.1A). Actual performance data under the current operating state was acquired, continuously for three working cycles (30 minutes each), obtaining time-series data of actual voltage U(t), current I(t), magnetic field strength B(t), and temperature T_coil(t).

[0113] Step S13103: Align the standard performance data and the actual performance data in terms of dimensions, and divide them into the same comparison dimensions, including intensity dimension, range dimension, time sequence dimension and feedback dimension, so as to facilitate comparison by dimension.

[0114] The standard performance data and actual performance data of the electromagnetic coil are divided into the following comparison dimensions: (1) Intensity dimension: including the amplitude of voltage U, current I, and magnetic field strength B; (2) Range dimension: including the fluctuation range (maximum value - minimum value) and standard deviation of each parameter; (3) Timing dimension: including response time t_r (time from energization to 90% establishment of the magnetic field) and release time t_f (time from de-energization to 10% reduction of the magnetic field); (4) Feedback dimension: including coil temperature T_coil and insulation resistance R_insulation. Ensure that the two are compared on the same dimension, such as comparing the RMS value in the intensity dimension and comparing the 3σ fluctuation range in the range dimension.

[0115] Step S13104: Compare the specific content of the standard effect performance data and the actual effect performance data dimension by dimension, record the differences in each dimension, and describe in detail the specific manifestations and related characteristics of the differences.

[0116] In terms of intensity, comparing the actual current I_rms with the standard current range I0±0.1A, if the actual current I_rms=2.0A, which is lower than the standard lower limit of 2.1A, the difference is "the effective value of the actual current is lower than the standard lower limit by 0.1A"; the magnetic field strength B_rms=0.43T, which is lower than the standard lower limit of 0.45T, the difference is "the effective value of the actual magnetic field strength is lower than the standard lower limit by 0.02T". In terms of range, the actual current fluctuation range ΔI=0.3A (maximum value 2.1A, minimum value 1.8A), which exceeds the standard fluctuation range ΔI0=0.2A, the difference is "the current fluctuation range exceeds the standard by 0.1A"; the current standard deviation σ_I=0.08A, which exceeds the standard σ_I0=0.05A. In terms of timing, the actual response time t_r = 0.15s, exceeding the standard t_r0 = 0.1s, with the difference being "response time extended by 0.05s"; the release time t_f = 0.07s, exceeding the standard t_f0 = 0.05s. In terms of feedback, the coil temperature T_coil = 75℃, exceeding the standard T_coil0 = 60℃, with the difference being "coil temperature too high by 15℃"; the insulation resistance R_insulation = 50MΩ, lower than the standard R_insulation0 = 100MΩ.

[0117] Step S13105: Analyze the possible causes of each difference point, and combine the operating environment, service life and maintenance history of the solenoid valve system to eliminate differences caused by non-defect factors such as normal operation fluctuations and data acquisition errors.

[0118] For the discrepancy between the actual current and the standard, possible reasons include: (1) short circuit between turns of the electromagnetic coil (leading to a decrease in resistance and an increase in current, which is inconsistent with the actual value and is excluded); (2) aging of the insulation between turns of the electromagnetic coil (leading to an increase in resistance and a decrease in current, which is consistent with the actual value); (3) a decrease in the power supply voltage (the measured power supply voltage U=218V, which is within the standard range of 220±10%, and is excluded); (4) acquisition error (the sensor was replaced and the test was repeated, and the result was consistent, and is excluded). Considering that the electromagnetic valve system has been used for 5 years (design life of 8 years, but has not been maintained recently), and there is dust in the operating environment (which may accelerate insulation aging), non-defect factors are excluded, and it is believed that "the aging of the insulation between turns of the electromagnetic coil leads to an increase in resistance" is a possible reason for the decrease in current. The decrease in magnetic field strength is the result of the combined effect of the decrease in current and the effective reduction in the number of coil turns (insulation aging may lead to a local short circuit between turns, and the number of turns is reduced). The excessively high temperature is due to the increase in Joule heat caused by the increase in resistance (Q=I 2 Rt), and the heat dissipation conditions remained unchanged.

[0119] Step S13106: Trace the role of each difference point in the defect propagation path, analyze whether the difference point can trigger the subsequent abnormal initiation or abnormal propagation of the propagation association, and verify the impact of the difference point through propagation simulation.

[0120] The decrease in the electromagnetic coil current I will lead to a decrease in the magnetic field strength B. (k is a coefficient, N is the number of turns), which in turn triggers the transmission correlation of "decreased magnetic force F → abnormal dynamic response of valve core". By setting the current I = 2.0A (actual value) in the simulation platform, the magnetic force was observed. Below the standard The steady-state value of the valve core displacement x decreased from the standard 0.5 mm to 0.45 mm, and the peak value of the velocity v decreased from 0.1 m / s to 0.08 m / s, verifying that this difference point can trigger subsequent abnormal conduction correlations. An excessively high difference point in the coil temperature T_coil will cause the valve body temperature to rise through thermal conduction, thereby triggering the conduction correlation of "increased valve body temperature → increased medium viscosity μ," further exacerbating the increase in valve core resistance F. This was also verified through simulation (T_coil = 75℃ → valve body temperature T_valve = 65℃ → μ = 0.06 Pa·s > μ0 = 0.05 Pa·s).

[0121] Step S13107: The simulation adjusts the actual function of the candidate root node to the standard function, reproduces the defect propagation path in the solenoid valve system propagation simulation platform, and monitors whether the defect propagation path can restore the normal propagation logic.

[0122] In the simulation platform, the actual parameters of the electromagnetic coil were adjusted to standard values: resistance R = 100Ω (normal range), current I = 2.2A, magnetic field strength B = 0.5T, response time t_r = 0.1s, and temperature T_coil = 55℃. Then, the defect conduction path simulation was run, and it was observed that: the magnetic force F recovered to 0.5*A, the valve core displacement x = 0.5mm, the velocity v = 0.1m / s, the medium viscosity μ = 0.05Pa·s (because the coil temperature returned to normal, the valve body temperature decreased), the valve core resistance F resistance returned to normal, the feedback signal deviation Δx = 0.03mm ≤ ±0.05mm, the pressure fluctuation Δp = 0.08MPa ≤ ±0.1MPa, and the defect conduction path returned to normal conduction logic.

[0123] Step S13108: If the defect propagation path returns to normal propagation logic after simulation adjustment, then the difference point is confirmed as the initial cause of the propagation anomaly, and the confirmation result and related verification data are recorded.

[0124] After adjusting the actual performance of the electromagnetic coil to the standard value, the defect conduction path resumes normal conduction logic. Therefore, it is confirmed that the differences in the electromagnetic coil (decrease in current I, decrease in magnetic field strength B, increase in temperature T_coil, and decrease in insulation resistance R_insulation) are the initial causes of the conduction abnormality. Record the confirmation result as "The inter-turn insulation aging of the electromagnetic coil leads to an increase in resistance, a decrease in current, a decrease in magnetic field strength, and an increase in temperature, which in turn causes conduction abnormalities such as abnormal dynamic response of the valve core and increased medium viscosity", and attach the comparison curves of parameters such as current, magnetic field strength, and valve core displacement during the simulation process as verification data.

[0125] Step S13109: Summarize the differences of all candidate root cause nodes and the confirmation results of the abnormalities, review the verification process records and data of each candidate root cause node, confirm that the steps of difference tracing, simulation verification, and result confirmation have been completed, form a verification report for candidate root cause nodes, and record in detail the standard performance data, actual performance data, differences, confirmation results of the abnormalities, and verification process. According to the report, determine the candidate root cause node that is confirmed to cause the abnormality as the defect root cause node of the solenoid valve system.

[0126] After analyzing and verifying all candidate root cause nodes (such as electromagnetic coils, continuous temperature action information) through the above steps, summarize the results. For the "abnormal continuous temperature action information", abnormal conduction can also be blocked after simulation adjustment. However, upon inspection in combination with the actual operating environment, it is found that the workshop air conditioner failure has been repaired, and the current temperature T = 35°C (normal). Since the aging of the electromagnetic coil is a persistent defect, it is comprehensively determined that the electromagnetic coil is the main defect root cause node. After review, it is confirmed that the verification process of the electromagnetic coil is complete and the data is reliable, and its differences have indeed caused conduction abnormalities. Therefore, the electromagnetic coil is determined as the defect root cause node of the solenoid valve system, forming a detailed list of defect root cause nodes, recording its type as "system component defect", the action location as "the electromagnetic drive unit on the upper part of the solenoid valve", and the initial abnormal manifestations as "increase in resistance (R = 115Ω > R0 + 5% = 105Ω), decrease in current (I = 2.0A < I0 - 0.1A = 2.1A), decrease in magnetic field strength (B = 0.43T < B0 - 0.05T = 0.45T), increase in temperature (T_coil = 75°C > T_coil0 = 60°C)".

[0127] Step S140: Analyze the abnormal conduction mechanism of the defect root cause node and present the action process of the defect root cause node causing the abnormal operation of the system.

[0128] The inter-turn insulation aging of the electromagnetic coil is the defect root cause node, and its abnormal conduction mechanism is as follows: (1) Insulation aging causes tiny leakage channels to appear between local turns of the coil, reducing the effective number of turns N, and at the same time increasing the overall resistance R ρ is the resistivity, which slightly increases due to aging. L is the length, S is the cross-sectional area. The turn-to-turn short circuit makes S equivalently increase, but the main cause is that the local short circuit leads to the reduction of the effective N); (2) The increase of the resistance R and the reduction of the effective number of turns N. When the supply voltage U is constant, the current I = U / R decreases, and the magnetic field strength significantly decreases (dual effects); (3) The decrease of the magnetic field strength B leads to the magnetic force acting on the valve core (θ is the angle between the magnetic field and the axis of the valve core) decreases; (4) The decrease of the magnetic force F makes the driving force received by the valve core insufficient to completely overcome the resultant force of the static friction force F_static between the valve core and the valve body, the medium flow resistance F_flow (related to μ), and the spring pre-tightening force F_spring, that is, F < F_static + F_flow + F_spring - F_medium pressure; (5) The insufficient driving force of the valve core leads to abnormal dynamic response of the valve core: the displacement x decreases (unable to fully open / close), the speed v decreases (slow movement), and the acceleration a decreases (response lag); (6) The decrease of the valve core displacement x leads to the reduction of the medium flow cross-sectional area and the increase of the flow velocity u , and the local pressure loss increases (ξ is the resistance coefficient), and the medium pressure p fluctuates more severely; (7) The medium pressure fluctuation and the valve core position deviation are transmitted to the control system through the feedback device, resulting in "abnormal dynamic characteristics of the feedback signal" (Δx and Δp exceed the range); (8) The control system attempts to compensate by increasing the supply voltage, but the coil resistance R has increased, the current I cannot be effectively increased, and the coil temperature T_coil increases further due to I 2 Rt, forming a positive feedback vicious cycle of "resistance increase → current decrease → magnetic force decrease → valve core abnormality → feedback abnormality → voltage increase → higher temperature → greater resistance", ultimately leading to abnormal operation of the solenoid valve system.

[0129] Step S150: Adapt the targeted maintenance execution plan according to the defect root cause node and the abnormal conduction mechanism, generate a solenoid valve maintenance instruction containing the targeted maintenance execution plan, and the solenoid valve maintenance instruction guides the implementation of targeted maintenance operations.

[0130] Step S151: Analyze the type of the defect root cause node in detail, distinguish whether the defect root cause node is a system component defect or an environmental action abnormality. If it is a system component defect, further define the component type and the defect manifestation. If it is an environmental action abnormality, define the abnormal action form and the influence situation.

[0131] Perform a type analysis on the root cause node of the electromagnetic coil defect to determine that it belongs to the system component defect. Further define the component type as "electromagnetic drive component - AC electromagnetic coil", and the defect manifestations are "inter-turn insulation aging (insulation resistance R_insulation = 50 MΩ < 100 MΩ), reduction of effective turns (obtained by impedance analysis N = 950 turns < standard N0 = 1000 turns), increase in resistance (R = 115 Ω > standard upper limit 105 Ω), reduction of magnetic field strength (B = 0.43 T < standard lower limit 0.45 T), increase in temperature (T_coil = 75 °C > 60 °C)".

[0132] Step S152: Deeply disassemble the abnormal conduction mechanism of the root cause node of the defect, track the complete process of the root cause node of the defect triggering abnormal conduction information in subsequent conduction links step by step through the conduction path, and extract the abnormal triggering conditions of each conduction link to form a list of abnormal triggering conditions.

[0133] Deeply disassemble the abnormal conduction mechanism of the electromagnetic coil, and track the complete process of its triggering abnormalities and the abnormal triggering conditions of each conduction link: (1) Abnormal triggering conditions for the electromagnetic coil link: R > 105 Ω or N < 980 turns or B < 0.45 T or T_coil > 60 °C; (2) Abnormal triggering conditions for the magnetic force link: F < F0 - 5% (F0 is the standard magnetic force, ; (3) Abnormal triggering conditions for the spool dynamic response link: x < 0.48 mm (standard 0.5 mm) or v < 0.09 m / s (standard 0.1 m / s) or t_r > 0.12 s (standard 0.1 s); (4) Abnormal triggering conditions for the medium flow link: μ > 0.055 Pa·s (standard 0.05 Pa·s) or Δp > 0.15 MPa (standard 0.1 MPa); (5) Abnormal triggering conditions for the feedback signal link: Δx > ±0.05 mm or Δp > ±0.1 MPa. Form a list of abnormal triggering conditions, including the triggering parameters, thresholds, and abnormal manifestations of each conduction link.

[0134] Step S153: Establish a targeted maintenance plan database. The targeted maintenance plan database stores the maintenance operation processes, maintenance tool configurations, maintenance material specifications, and maintenance effect verification standards for different types of root cause nodes of defects and their corresponding abnormal conduction mechanisms, and stores them classified by defect type and conduction mechanism.

[0135] Establish a targeted maintenance plan database, using a relational database structure, and store it according to four levels: "defect type → component type → transmission mechanism → maintenance plan". For the category "System Component Defects → Electromagnetic Drive Components → Insulation Aging Conduction Mechanism", the stored maintenance operation procedures include: coil disassembly, insulation testing, coil winding / replacement, parameter adjustment, and performance testing; maintenance tool configurations include: digital megohmmeter (range 0-1000MΩ), inter-turn withstand voltage tester (0-5kV), winding machine (adapted to coil size), hot air gun (for insulation treatment), and LCR digital bridge (for measuring resistance and inductance); maintenance material specifications include: electromagnetic wire (model QZ-2 / 155, diameter d=0.2mm, insulation class F), insulating varnish (model 1032, temperature resistance 155℃), and skeleton material (PBT plastic, temperature resistance 200℃); maintenance effect verification standards include: insulation resistance ≥100MΩ, inter-turn withstand voltage ≥2kV / 1min without breakdown, resistance R=100±5Ω, inductance L=10±1mH, magnetic field strength B≥0.45T, and temperature rise≤60K.

[0136] Step S154: Match the type of defect root cause node and the characteristics of the abnormal propagation mechanism with the defect type and propagation mechanism category stored in the targeted maintenance scheme database, and retrieve the basic maintenance operation process and maintenance tool configuration under the successfully matched category.

[0137] The defect type of the electromagnetic coil, "System Component Defect - Electromagnetic Drive Component," and the abnormal conduction mechanism characteristics, "Insulation Aging → Reduced Turns → Increased Resistance → Decreased Magnetic Force → Abnormal Dynamic Response of Valve Core," were matched with categories in the targeted maintenance solution database. Through keyword retrieval ("electromagnetic coil," "insulation aging," "decreased magnetic force") and feature parameter comparison (R and B thresholds in trigger conditions), the category "System Component Defect → Electromagnetic Drive Component → Insulation Aging Conduction Mechanism" was matched. The basic maintenance operation procedure under this category was retrieved: "1. Safely disconnect power and tag; 2. Disassemble the solenoid valve housing and coil fixing parts; 3. Coil insulation and parameter testing (insulation resistance, inter-turn withstand voltage, resistance, inductance); 4. Remove the old coil and clean the frame; 5. Wind the new coil (or replace the pre-made coil); 6. Coil insulation treatment (impregnation, drying); 7. Coil installation and fixing; 8. Preliminary power-on test (no load); 9. Load performance test"; and the corresponding maintenance tool configuration: digital megohmmeter, inter-turn withstand voltage tester, LCR bridge, winding machine, screwdriver set, and hot air gun.

[0138] Step S155: Combine the transmission range of the defect transmission path to expand the implementation scope of the basic maintenance operation process, and include the defect root cause node and all transmission links affected by it into the maintenance coverage scope to form an expanded maintenance scope list.

[0139] The conduction range of the defect conduction path includes: electromagnetic coil → magnetic force → valve core → medium → feedback signal. The affected conduction links include: the electromagnetic coil itself, the valve core (which may be worn due to long-term uneven force), the internal flow channel of the valve body (which may be scoured due to abnormal medium flow rate), and the feedback sensor (which may have calibration deviation due to vibration). Therefore, on the basis of the basic maintenance operation process, expand the implementation scope: add the links of "valve core wear detection and repair", "cleaning and inspection of the valve body flow channel", and "feedback sensor calibration". Form an expanded list of maintenance scope: 1. Replacement / rewinding of electromagnetic coil; 2. Detection and maintenance of valve core; 3. Cleaning of valve body flow channel; 4. Calibration of feedback sensor; 5. System linkage test.

[0140] Step S156: Optimize the basic maintenance operation process for the key conduction trigger conditions in the abnormal conduction mechanism, add targeted conduction blocking steps, and cut off the abnormal conduction path of the defect root node by blocking the key trigger conditions.

[0141] Step S1561: Analyze the abnormal conduction mechanism, and extract the key conduction trigger conditions that can trigger abnormalities in subsequent conduction links by analyzing the conduction path and trigger relationship. The key conduction trigger conditions are the indispensable abnormal start nodes in the conduction path.

[0142] Analyze the abnormal conduction mechanism of the electromagnetic coil and identify two key conduction trigger conditions: (1) "The effective magnetic force F of the electromagnetic coil < F0 - 5%": This condition is the core node connecting the defect of the electromagnetic coil and the abnormality of the valve core. Insufficient F directly leads to insufficient driving force of the valve core and is the source of all subsequent abnormalities; (2) "The coil temperature T_coil > 60°C": This condition will trigger a secondary abnormality of increased medium viscosity, exacerbate the resistance of the valve core, and form a vicious cycle. It is an amplifier of abnormal conduction. These two conditions are the indispensable abnormal start nodes in the conduction path.

[0143] Step S1562: Analyze the triggering methods of each key conduction trigger condition, and determine whether it is triggered by the intensity of environmental action, abnormal component state, or abnormal conduction signal through the analysis of the trigger signal source and trigger process.

[0144] For the key conduction trigger condition of "magnetic force F < F0 - 5%", the source of its trigger signal is the abnormal internal state of the electromagnetic coil (decrease in effective turns N and increase in resistance R). The trigger process is that the decrease in N and I leads to a decrease in B, and then a decrease in F. Therefore, it belongs to the trigger of abnormal component state. The source of the trigger signal of "coil temperature T_coil > 60°C" is the increase in Joule heat (Q = I 2 Rt) caused by the increase in coil resistance and poor heat dissipation, which also belongs to the trigger of abnormal component state (the increase in resistance R is an abnormal component state).

[0145] Step S1563: Analyze the trigger threshold and trigger timing of the key conduction trigger conditions, and determine the parameter range for the trigger conditions to take effect and the time node positions in the conduction path through historical conduction data statistics and trigger process simulation.

[0146] Through historical data statistics and simulation analysis, it is determined that: (1) the trigger threshold for "magnetic field force F < F0 - 5%" is , and the trigger timing is at t = 0.05 s (magnetic field establishment stage) after the system is powered on; (2) the trigger threshold for "coil temperature T_coil > 60°C" is T_coil = 60°C, and the trigger timing is after the system runs continuously for t = 180 s (temperature accumulation stage). The time node positions in the conduction path: The F anomaly occurs in the earliest stage (driving stage), and the T_coil anomaly occurs in the middle stage (continuous operation stage), and it feeds back to affect the previous stage (F further decreases due to temperature increase).

[0147] Step S1564: Based on the trigger mode and threshold of the key conduction trigger conditions, construct a targeted conduction blocking strategy. The conduction blocking strategy can prevent the trigger conditions from taking effect or weaken their triggering ability, and does not affect the normal conduction links.

[0148] Blocking strategy for "magnetic field force F < F0 - 5%": Replace the aging coil, ensure that the effective number of turns N of the new coil is 1000 ± 10 turns, and the resistance R is 100 ± 5 Ω, and generate the magnetic field force under the rated voltage, so that the F trigger condition cannot take effect. Blocking strategy for "coil temperature T_coil > 60°C": (1) Replace the coil with a high insulation level (H level, temperature resistance 180°C) to reduce the temperature rise; (2) Add heat dissipation fins on the outer periphery of the coil to increase the heat dissipation coefficient h; (3) Set temperature monitoring and warning, and remind to shorten the continuous operation time when T_coil > 55°C. The above strategies are all for abnormal component states and do not affect the normal conduction links (such as the normal functions of the spool and medium).

[0149] Step S1565: Combine the step sequence of the basic maintenance operation process, analyze the effective time of the key conduction trigger conditions, and determine the best implementation timing of the conduction blocking steps, so that the blocking operation can be executed before or at the initial stage when the trigger conditions take effect.

[0150] The effective time of "magnetic field force F anomaly" is 0.05 s after power on. Therefore, its conduction blocking step (replace the coil) must be completed before the system starts, that is, the "coil installation and fixation" step in the basic maintenance operation process should be completed before the "preliminary power-on test". The effective time of "coil temperature T_coil anomaly" is after continuous operation for 180 s. Its conduction blocking steps (add heat dissipation fins, set warning) should be carried out synchronously during the "coil installation" process to ensure completion before the system runs continuously and avoid temperature accumulation.

[0151] Step S1566: Refine the operational details of the conduction blocking steps. Based on the blocking strategy, determine the specific operations, tools, and precise locations required for each blocking step, and form an operational detail description.

[0152] Operational details of the “replacement of electromagnetic coil” steps: (1) Use a Phillips screwdriver (PH2 specification) to remove the coil fixing screws (M3×8mm, 4 screws in total), and control the torque at 0.8-1.0 N·m; (2) Use a digital megohmmeter (range 1000MΩ, test voltage 500VDC) to retest the insulation resistance of the old coil and confirm that it is <100MΩ; (3) Use a special puller (model compatible with coil frame) to pull out the old coil axially to avoid damaging the valve body; (4) Clean the installation position of the coil frame, wipe the surface with anhydrous ethanol to remove oil and dust; (5) When installing the new coil (model matching AC220V, 50Hz, N=1000 turns, R=100Ω), ensure that the direction of the coil lead is consistent with the plug, and the deviation is ≤±5°; (6) Use a torque wrench (accuracy ±5%) to tighten the fixing screws with a torque of 0.8 N·m, and install them in diagonal order. The steps for “adding heat dissipation fins” are as follows: (1) Heat dissipation fins (aluminum, 1mm thick, 10mm high, 8 pieces, evenly distributed) are pasted on the outer periphery of the coil with thermal grease (model KD-340, thermal conductivity ≥1.5W / m·K), covering an area ≥80% of the coil surface area; (2) Fix the fins with cable ties (temperature resistant 180℃), and the binding force should be such that no deformation occurs.

[0153] Step S1567: Execute the conduction blocking step in the simulation environment, check whether the key conduction triggering condition can still take effect after the blocking step is executed, and check whether the operation status of the normal conduction link is affected. Test whether the blocking step can effectively prevent the key conduction triggering condition from taking effect through simulation operation, and at the same time check the operation status of the normal conduction link. When refining the operation content of the conduction blocking step, set the operation precision and range constraints to ensure that the operation only acts on the part related to the key conduction triggering condition.

[0154] In the solenoid valve system conduction simulation platform, new coil parameters (N=1000 turns, R=100Ω) and heat sink parameters (h=20W / m) are set. 2 ·K, original h=10W / m 2 •K), perform conduction blocking step simulation. Detection results: magnetic force The trigger condition of "F < F0 - 5%" is not effective; after continuous operation for 300 s, the coil temperature T_coil = 52°C < 60°C, and the trigger condition of "T_coil > 60°C" is not effective. The normal conduction links, such as the spool displacement x = 0.5 mm (standard) and the medium viscosity μ = 0.05 Pa·s (standard), are not affected. When refining the operation content, the coaxiality of coil installation is set to ≤ 0.1 mm (to avoid magnetic field eccentricity), and the deviation of the fin paste position is ≤ ±2 mm (to ensure uniform heat dissipation), ensuring that the operation only acts on the heat dissipation part of the electromagnetic coil and does not affect other links such as the spool and the medium.

[0155] Step S1568: Adjust the connection sequence between the conduction blocking step and the basic maintenance operation process, and check for operation conflicts or process breaks between different steps through process simulation to optimize the step connection logic.

[0156] In the original basic process, "preliminary power-on test" was directly carried out after "coil installation". Now it is adjusted to: "coil installation → heat dissipation fin installation → insulation resistance test → preliminary power-on test". The steps of "heat dissipation fin installation" and "insulation resistance test" (to verify the insulation of the new coil) are added to avoid inaccurate temperature measurement caused by power-on without installing the fins. Through process simulation, it is found that if the installation position is not "cleaned" directly after "old coil removal" and then the new coil is installed, it may lead to poor insulation. Therefore, the step of "cleaning and detecting the installation position" is added between "old coil removal" and "new coil installation" to optimize the connection logic.

[0157] Step S1569: Supplement the operation specifications and precautions for the conduction blocking step, and determine the force, speed, and post-operation status monitoring content to be controlled during the operation based on the operation details description to form an operation specification document.

[0158] Operation specifications: (1) When disassembling / installing screws, the torque is strictly controlled within the specified range to prevent thread slipping (the screw material is stainless steel 304, yield strength ≥ 205 MPa); (2) When pulling out the coil, the axial force ≤ 50 N to avoid damaging the magnetically conductive part of the valve body; (3) After pasting the heat dissipation fins, let it stand for 24 h to ensure that the silicone grease is fully cured (curing time ≥ 4 h at room temperature of 25°C). Precautions: (1) The coil lead joints need to be tinned (tin layer thickness 5 - 10 μm) to prevent oxidation; (2) Avoid bending the coil during installation (bending radius ≥ 5 times the coil diameter); (3) Discharge before power-on test (capacitance C = 10 μF, discharge resistance R_d = 10 kΩ, discharge time ≥ 3τ = 0.3 s). Post-operation status monitoring: (1) After installation, the coil inductance L = 10 ± 0.5 mH (standard value); (2) No-load current I_no_load = 0.5 ± 0.05 A (standard value); (3) The contact resistance between the heat dissipation fins and the coil ≤ 50 mΩ (the contact temperature difference ≤ 2°C detected by thermal imaging).

[0159] Step S15610: Integrate the optimized conduction blocking steps into the basic maintenance operation process, and combine them according to the best implementation time and connection logic to form a complete maintenance operation process that includes targeted blocking functions, so as to effectively cut off abnormal conduction paths.

[0160] The integrated and improved maintenance operation procedure: "1. Power off for safety, hang warning signs, and discharge capacitors; 2. Disassemble the solenoid valve housing (Phillips screwdriver PH2, torque 0.5 N·m); 3. Disassemble the old coil: (3.1) Remove the coil lead plug (mark the positive and negative terminals), (3.2) Remove the fixing screws (4 screws, torque 0.8 N·m), (3.3) Use a special puller to pull out the old coil; 4. Test the old coil: (4.1) Insulation resistance (megohmmeter 500VDC), (4.2) Inter-turn withstand 5. Installation site cleaning: (5.1) Wipe with anhydrous ethanol, (5.2) Visually inspect for scratches and deformation; 6. New coil preparation: (6.1) Confirm new coil parameters (model, N, R, insulation class), (6.2) Tin the leads; 7. Install new coil and heat sink fins: (7.1) Install coil (coaxiality ≤ 0.1mm), (7.2) Fixing screws (torque 0.8N·m, diagonal), (7.3) Attach heat sink fins (silicone grease) 8. Electrical connection: (8.1) Connect the lead plug (positive and negative terminals correspond), (8.2) Wrap the joint with insulating tape (three layers, temperature resistance 155℃); 9. Preliminary test: (9.1) Insulation resistance ≥500MΩ, (9.2) Inductance L=10±0.5mH; 10. No-load power-on test: (10.1) Apply AC220V voltage, (10.2) Monitor current I=2.2±0.1A, magnetic field strength B≥0.5T, ( 10.3) The valve core operates normally with no jamming sound; 11. Load test (connecting the medium circuit): (11.1) Monitor the valve core displacement x=0.5±0.02mm, (11.2) Response time t_r≤0.1s, (11.3) After continuous operation for 300s, T_coil≤55℃; 12. Install the outer casing and clean the site. "This process effectively blocked the two key triggering conditions of F abnormality and T_coil abnormality by replacing the coil and increasing heat dissipation, cutting off the abnormal transmission path.

[0161] Step S157: Based on the specific location of the defect root cause node and the defect manifestation, match the corresponding maintenance material specifications, define the types and specific requirements of materials to be replaced or supplemented during the maintenance process, and form a maintenance material list.

[0162] The root cause of the defect is the electromagnetic coil located in the upper electromagnetic drive unit of the solenoid valve. The model is AC220V, 50Hz, and the size is Φ30×40mm (outer diameter×height). The specifications of the matching maintenance materials are as follows: (1) New electromagnetic coil: Model MQ1-5N, AC220V, 50Hz, power 10±1W, number of turns N=1000±10 turns, wire material enameled wire QZ-2 / 180 (H grade), diameter d=0.20±0.002mm, insulation resistance ≥1000MΩ (500VDC), inter-turn withstand voltage ≥3kV / 1min; (2) Heat sink fins: material 6061 aluminum alloy, size Φ30×10mm (inner diameter×height), thickness 1mm, quantity 8 pieces, table Anodizing treatment (thickness 5-10μm); (3) Thermal grease: Model KD-340, thermal conductivity 1.5-2.0W / m·K, working temperature -50~200℃, cone penetration (25℃) 260-300 (1 / 10mm); (4) Insulating tape: Model 3MScotch88, polyimide material, thickness 0.08mm, temperature resistance 260℃, breakdown voltage ≥600V / layer; (5) Screws: Stainless steel 304, M3×8mm, cross-slot pan head, strength grade A2-50. A maintenance material list is formed, including material name, model specifications, quantity, technical parameters and supplier information.

[0163] Step S158: Construct a maintenance effect verification process, extract the operational transmission information indicators and defect transmission path recovery standards that need to be detected after maintenance, and confirm whether the system has restored normal transmission logic through indicator detection and path verification.

[0164] For example, step S1581: Based on the normal transmission logic of the defect transmission path, combined with the construction standards and normal operation data of the solenoid valve system, extract the key operation transmission information indicators that need to be restored after maintenance. The key operation transmission information indicators include the normal state parameters of each transmission link, the normal triggering conditions of the transmission association, and the normal transmission efficiency of the transmission path.

[0165] Key operational conduction information indicators include: (1) Electromagnetic coil component: resistance R=100±5Ω, inductance L=10±1mH, insulation resistance ≥100MΩ, temperature rise≤50K (T_coil≤85℃ when ambient temperature is 35℃); (2) Magnetic force component: (r is the valve core radius 10mm); (3) Valve core dynamic response: displacement x=0.5±0.02mm, velocity v=0.1±0.01m / s, response time t_r≤0.1s, release time t_f≤0.05s; (4) Medium conduction: viscosity μ=0.05±0.005Pa·s, flow velocity u=1.0±0.1m / s, pressure fluctuation Δp≤±0.1MPa; (5) Conduction association normal triggering conditions: all abnormal triggering conditions are not met. (6) Conduction path efficiency: The total time from power-on to stable medium flow ≤ 0.3 s (t_r + t_flow, where t_flow is the medium flow establishment time).

[0166] Step S1582: Analyze the historical data when the solenoid valve system is operating normally, and combine with the construction standards to determine the normal value range and allowable fluctuation range of each key operating conduction information index.

[0167] Normal value range and allowable fluctuation range: (1) Coil resistance R: 100 ± 5 Ω (allowable fluctuation ± 5%); (2) Magnetic field intensity B: 0.5 ± 0.05 T (± 10%); (3) Spool displacement x: 0.5 ± 0.02 mm (± 4%); (4) Medium viscosity μ: 0.05 ± 0.005 Pa·s (± 10%); (5) Pressure fluctuation Δp: ± 0.1 MPa (± 20%); (6) Response time t_r: ≤ 0.1 s (+ 20%); (7) Temperature rise: ≤ 50 K (+ 20%).

[0168] Step S1583: For the complete conduction process of the defective conduction path, construct a path recovery standard, which includes the integrity of conduction association, the correctness of conduction direction, the rationality of conduction timing, and the stability of conduction intensity.

[0169] Path recovery standard: (1) Integrity of conduction association: All normal conduction associations exist (such as coil current → magnetic force → spool displacement → medium flow → feedback signal), without missing associations; (2) Correctness of conduction direction: The direction of all conduction associations conforms to normal logic (such as magnetic force → spool displacement, not in reverse); (3) Rationality of conduction timing: The triggering order of each link is correct (such as t_r (0.1 s) < t_flow (0.2 s) < t_total (0.3 s)), without timing reversal; (4) Stability of conduction intensity: The fluctuation range of each parameter is within the allowable range (such as Δx ≤ ± 0.02 mm, Δp ≤ ± 0.1 MPa), without continuously increasing deviation.

[0170] Step S1584: Construct the implementation steps for verifying the maintenance effect, sort according to the sequence of conduction links and the importance of indicators, and detect the operating conduction information indicators of each conduction link in turn, defining the detection object and detection order of each step.

[0171] Maintenance effectiveness verification implementation steps (in order of importance): 1. Coil electrical parameter testing (object: electromagnetic coil, testing sequence 1); 2. Magnetic field force and valve core dynamic response testing (object: magnetic field element, valve core element, testing sequence 2); 3. Medium conduction performance testing (object: medium element, testing sequence 3); 4. Feedback signal and system linkage testing (object: feedback element, overall system, testing sequence 4). Each step includes specific testing items, such as step 1 including insulation resistance, resistance, inductance, and temperature rise.

[0172] Step S1585: Select a matching detection method based on the indicator type and detection accuracy requirements, and select a detection tool whose detection accuracy meets the indicator type and detection accuracy requirements, and record the detection data.

[0173] Test methods and tools: (1) Insulation resistance: digital megohmmeter (model KEW3125, range 0-1000MΩ, accuracy ±5%), 500VDC voltage, test time 1min; (2) Coil resistance: LCR digital bridge (model TH2822A, range 0-200Ω, accuracy ±0.1%), test frequency 1kHz; (3) Magnetic field strength: Tesla meter (model HT20, range 0-2T, accuracy ±1%), probe placed at the center of the valve core surface; (4) Valve core displacement: laser displacement sensor (model LK-G80, range 0-1mm, accuracy ±0.1μm), sampling frequency 1kHz; (5) Medium viscosity: online viscometer (model VM-100, range 0-1Pa·s, accuracy ±2%); (6) Pressure fluctuation: dynamic pressure sensor (model PCB113B27, range 0-1MPa, accuracy ±0.5%FS), with data acquisition instrument (sampling rate 10kHz). The test data is recorded in a standardized form, including the test time, environmental conditions (temperature, humidity), instrument number, raw data, processed data, and whether it is qualified.

[0174] Step S1586: Set the collection frequency according to the changing characteristics of the operation transmission information indicators, and set the collection duration to meet the statistical requirements.

[0175] Acquisition frequency and duration: (1) Static parameters (resistance, inductance, insulation resistance): 1 acquisition per item, take the average of 3 measurements; (2) Dynamic parameters (displacement, velocity, pressure fluctuation): acquisition frequency 1kHz, duration 10s (including 3 complete operation cycles); (3) Temperature parameters (temperature rise): acquisition frequency 1Hz, duration 300s (continuous running time); (4) Stability parameters (long-term fluctuation): acquisition frequency 0.1Hz, duration 1h (to assess long-term stability).

[0176] Step S1587: Construct verification result judgment rules to determine that when all key operational transmission information indicators are within the normal range and the defect transmission path fully meets the recovery standard, the maintenance effect is judged to be up to standard; otherwise, it is judged to be down to standard.

[0177] Judgment rules: (1) Individual judgment: The measured value of each key indicator must be within the normal range (e.g., R=102Ω within 95-105Ω); (2) Comprehensive judgment: All individual indicators are qualified, and the four requirements of the path recovery standard (integrity, direction, timing, and stability) are met; (3) One-vote veto items: insulation resistance <100MΩ, inter-turn withstand voltage breakdown, magnetic field force <0.45T, response time >0.12s. If any one of them fails to meet the standard, the whole system fails to meet the standard.

[0178] Step S1588: Construct a remedial action process for when verification fails. Determine the maintenance steps, supplementary maintenance operations, and re-verification process that need to be re-checked when the test results fail. In the remedial action process, set up the process for re-checking, supplementary maintenance, and re-verification.

[0179] Remedial measures process: (1) If the insulation resistance is not up to standard: recheck step 6 (new coil preparation) and step 8 (electrical connection), supplementary operation: re-tin the lead wire joint and increase the number of insulating tape layers, and test the insulation resistance again; (2) If the magnetic field force is not up to standard: recheck step 7 (coil installation), confirm whether the coil is installed in place (axial deviation ≤ 0.5mm), and replace the coil if necessary (the parameters of the new coil may not be up to standard); (3) If the temperature rise is not up to standard: recheck step 7.3 (heat dissipation fins), supplementary operation: clean the contact surface between the fins and the coil, reapply thermal grease and apply pressure (5N force for 10min); (4) Re-verification process: for the non-compliant items, after implementing the corresponding remedial measures, retest according to 100% of the original verification steps until the standard is met.

[0180] Step S1589: In the maintenance effect verification process, designate the responsible entity for performing each verification operation and set the completion time limit for each step according to the complexity of the verification steps.

[0181] Responsible parties and completion time limits: (1) Coil electrical parameter testing: Electrical engineer (holding a low-voltage electrician certificate), completion time limit 30min; (2) Magnetic field force and valve core dynamic response testing: Automation engineer (holding an instrument certificate), completion time limit 60min; (3) Medium conduction performance testing: Fluid engineer (holding a special equipment operation certificate), completion time limit 45min; (4) Feedback signal and system linkage testing: Control engineer (holding a PLC programming certificate), completion time limit 45min; (5) Comprehensive judgment and report: Technical supervisor, completion time limit 30min. Total verification time ≤ 4h.

[0182] Step S15810: Integrate key operational transmission information indicators, normal value ranges, path recovery standards, detection steps, detection methods, judgment rules, and remedial measures to form a maintenance effect verification process.

[0183] The maintenance effect verification process document is integrated and includes: (1) a list of verification indicators (including parameters, normal range, detection methods and tools); (2) detection steps and sequence; (3) data recording table; (4) judgment rules and flowchart; (5) a remedial measures comparison table; and (6) division of responsibilities and time limit requirements.

[0184] Step S159: Integrate the adjusted maintenance operation process, optimized conduction blocking steps, matching maintenance tool configuration, maintenance material specifications, and maintenance effect verification process to form a targeted maintenance execution plan. Check the integrated targeted maintenance execution plan to confirm that the maintenance operation process, conduction blocking steps, maintenance tool configuration, maintenance material specifications, and maintenance effect verification process are all included, and confirm that the plan content is for the type, location, and abnormal conduction mechanism of the defect root cause node.

[0185] Integrate all the above content to form a targeted maintenance execution plan. The plan document structure includes: 1. Defect root cause node analysis (type, location, manifestation); 2. Abnormal transmission mechanism and key triggering conditions; 3. Maintenance operation process (including conduction blocking steps); 4. Maintenance tool configuration list (including model, specifications, quantity); 5. Maintenance material specification list (including model, parameters, supplier); 6. Maintenance effect verification process; 7. Safety precautions. Check and confirm: (1) All maintenance operation process steps are complete, and conduction blocking steps (replacing the coil, increasing heat dissipation) have been incorporated; (2) The specifications of tools and materials match the model and size of the electromagnetic coil; (3) The verification process covers all key indicators and path recovery standards; (4) The plan content clearly targets the root cause of "electromagnetic coil insulation aging" and the conduction mechanism of "insufficient magnetic force → valve core abnormality → feedback abnormality".

[0186] Step S1510: Associate and bind the targeted maintenance execution plan with the defect root cause node and the abnormal transmission mechanism, and transform it into a standardized solenoid valve maintenance command, so that each operation step in the maintenance command corresponds to the abnormal problem of the defect root cause node or the key link of the abnormal transmission mechanism.

[0187] The targeted maintenance execution plan is transformed into standardized solenoid valve maintenance instructions, which are implemented in the form of work orders. Each instruction includes: (1) step number (e.g., S159-1); (2) operation content (e.g., "remove the old coil fixing screws"); (3) associated abnormal problem / critical link (e.g., "associated abnormal problem: increased coil resistance; associated critical link: abnormal magnetic field force F"); (4) required tools (e.g., "PH2 Phillips screwdriver, 0.8 N·m torque wrench"); (5) required materials (e.g., "none"); (6) operation specifications (e.g., "torque 0.8 N·m, diagonal sequence"); (7) verification requirements (e.g., "no stripped screws, coil can be easily pulled out"). For example, the instruction "replace the new coil" is associated with "root cause: aging of electromagnetic coil insulation; critical link: blocking the abnormal triggering condition of magnetic field force F", ensuring that the purpose of each operation step is clear and guiding maintenance personnel to execute it accurately.

[0188] After adapting the targeted maintenance execution plan based on the root cause of the defect and the anomaly propagation mechanism, it is necessary to quantitatively evaluate the maintenance effect to ensure that the maintenance operation truly solves the anomaly problem.

[0189] The system collects post-maintenance operational transmission information and post-maintenance environmental impact information after the targeted maintenance plan is executed on the solenoid valve system. Post-maintenance operational transmission information is re-collected through various sensors installed on the solenoid valve system, including post-maintenance action transmission information (such as solenoid coil current and valve core displacement trajectory), post-maintenance media transmission information (such as media flow rate and pressure fluctuations), and post-maintenance component linkage information (such as vibration frequencies of various components and feedback signal deviations). Post-maintenance environmental impact information is re-collected through environmental sensors, including post-maintenance temperature impact information, post-maintenance humidity impact information, and post-maintenance media impact information.

[0190] The post-maintenance operational transmission information is compared with the standard operational transmission information in the solenoid valve system normal operation standard database to calculate the recovery deviation value of each transmission link. For example, for the action transmission link, the post-maintenance valve core response time is compared with the standard response time to calculate the action transmission recovery deviation; for the medium transmission link, the post-maintenance medium viscosity is compared with the standard viscosity to calculate the medium transmission recovery deviation; for the component linkage link, the post-maintenance feedback signal deviation is compared with the standard deviation to calculate the component linkage recovery deviation.

[0191] By comparing the environmental impact information after maintenance with the standard environmental impact information in the normal operation standard database of the solenoid valve system, the recovery deviation value of each type of impact is calculated. For example, by comparing the ambient temperature after maintenance with the standard temperature range, the temperature impact recovery deviation is calculated; by comparing the ambient humidity after maintenance with the standard humidity range, the humidity impact recovery deviation is calculated; and by comparing the media purity after maintenance with the standard purity, the media impact recovery deviation is calculated.

[0192] The recovery deviation value of each transmission link is weighted and fused with the corresponding abnormal transmission contribution weight in the defect transmission path to generate a recovery quality score for each transmission link. The abnormal transmission contribution weight is pre-set based on the importance of the transmission link in triggering subsequent anomalies in the defect transmission path; the larger the weight value, the greater the impact of the link on the overall anomaly. The smaller the recovery deviation value, the higher the recovery quality score.

[0193] The recovery quality scores of all transmission links are integrated to generate an overall recovery quality index for the solenoid valve system. This overall recovery quality index is calculated using a weighted average or summation method to quantitatively evaluate the maintenance effectiveness of the targeted maintenance implementation plan. The higher the index value, the better the maintenance effect and the closer the system recovery is to its normal operating state.

[0194] The overall recovery quality index is compared with the preset maintenance effectiveness threshold. When the overall recovery quality index is lower than the maintenance effectiveness threshold, it indicates that the maintenance effect has not met the expected standard, and the system still has potential anomaly risks. At this time, a maintenance effectiveness insufficient warning message is generated, which includes the deviation transmission link identifier and the deviation effect form identifier, notifying maintenance personnel to conduct secondary checks or supplementary maintenance on the relevant links.

[0195] After generating the solenoid valve maintenance instructions that include the targeted maintenance execution plan, the maintenance execution process needs to be monitored and evaluated to ensure that the maintenance operation is performed in accordance with the predetermined plan specifications.

[0196] The system collects maintenance process monitoring data after the solenoid valve system executes maintenance commands. The maintenance process monitoring data is collected in real time through the smart terminal worn by maintenance personnel, sensors on tools, and the material management system. This includes maintenance operation sequence data (such as the start time and end time of each operation step), maintenance tool usage data (such as the type of tool used and the number of times the tool was used), and maintenance material consumption data (such as the amount of material issued and the amount actually used).

[0197] A timing consistency analysis is performed on the maintenance operation timing data and the preset standard operation timing in the targeted maintenance execution plan to generate operation timing deviation characteristics that include operation delay time parameters and operation advance time parameters. The operation delay time parameter is the time difference between the actual operation start time and the standard start time, and the operation advance time parameter is the time difference between the actual operation start time and the standard start time.

[0198] A tool matching analysis is performed on the maintenance tool usage data and the preset standard tool configuration in the targeted maintenance execution plan to generate tool usage deviation characteristics, including tool type matching parameters and tool quantity matching parameters. The tool type matching parameter is used to evaluate the consistency between the types of tools actually used and the standard tools, while the tool quantity matching parameter is used to evaluate the degree of conformity between the number of tools actually used and the number of standard tools.

[0199] Material consumption data for maintenance is analyzed against the pre-set standard material specifications in the targeted maintenance execution plan. This analysis generates material consumption deviation characteristics, including material usage deviation parameters and material specification compliance parameters. The material usage deviation parameter represents the ratio of the difference between the actual material usage and the standard usage, while the material specification compliance parameter assesses the degree of conformity between the actual materials used and the standard material specifications.

[0200] The characteristics of operational timing deviations, tool usage deviations, and material consumption deviations are integrated to generate a comprehensive score for maintenance execution standardization. This comprehensive score is calculated using a weighted summation method, with the weights of each characteristic pre-set based on their impact on maintenance quality.

[0201] The overall score for maintenance execution standardization is compared with a preset standardization threshold. When the overall score is lower than the threshold, it indicates that there are non-standard operations during maintenance, which may affect the maintenance effect. In this case, a maintenance execution deviation warning message is generated, which includes the identifier of the deviation operation steps, prompting the maintenance supervisor to review the relevant operation steps.

[0202] Maintenance execution deviation warning information is associated and bound with the defect root cause node identifier, and stored in the maintenance history database of the solenoid valve system. This data can be used to analyze common operational deviation patterns under different defect types, continuously improving the feasibility and standardization of maintenance plans.

[0203] In one exemplary embodiment, an anomaly detection system for maintenance of a solenoid valve system is provided. This anomaly detection system can be a terminal, server, etc., and its internal structure diagram can be as follows: Figure 2As shown, this anomaly detection system for solenoid valve system maintenance includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, near-field communication, or other technologies. When the computer program is executed by the processor, it implements an anomaly detection method for solenoid valve system maintenance. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device can be a touch layer covering the display screen, or a button, trackball, or touchpad set on the housing of an anomaly detection system used for maintenance of solenoid valve systems, or an external keyboard, touchpad, or mouse, etc.

[0204] It should be noted that, in order to simplify the description of the present invention and thus help to understand one or more embodiments of the invention, multiple features may sometimes be grouped into one embodiment, drawing or description thereof in the foregoing description of the embodiments of the present invention.

Claims

1. An anomaly detection method for maintenance of a solenoid valve system, characterized in that, The method includes: The system collects operational transmission information and environmental impact information of the solenoid valve system. The operational transmission information includes action transmission information, media transmission information, and component linkage information. The environmental impact information includes temperature impact information, humidity impact information, and media impact information. A defect transmission path is constructed between the solenoid valve's operational transmission information and environmental influence information. The defect transmission path presents the transmission logic of environmental influence information causing abnormalities in operational transmission information. The defect root cause node of the solenoid valve system is located based on the defect transmission path. The defect root cause node is the system component or factor that initially triggers abnormal transmission in the defect transmission path. The abnormal propagation mechanism of defect root cause nodes is analyzed, and the process by which defect root cause nodes lead to abnormal system operation is presented. Based on the root cause of the defect and the abnormal transmission mechanism, a targeted maintenance execution plan is adapted, and a solenoid valve maintenance instruction containing the targeted maintenance execution plan is generated. The solenoid valve maintenance instruction guides the implementation of targeted maintenance operations.

2. The anomaly detection method for maintenance of a solenoid valve system according to claim 1, characterized in that, The defect transmission path for constructing the solenoid valve operation transmission information and environmental effect information includes: The collected solenoid valve system operation transmission information is broken down into transmission links. The action transmission information is broken down into start transmission information, execution transmission information and stop transmission information. The medium transmission information is broken down into path transmission information, rate transmission information and status transmission information. The component linkage information is broken down into connection linkage information, operation linkage information and feedback linkage information. The environmental impact information of the collected solenoid valve system is further subdivided into impact types. Temperature impact information is subdivided into instantaneous temperature impact information, continuous temperature impact information, and variable temperature impact information. Humidity impact information is subdivided into ambient humidity impact information, medium humidity impact information, and component surface humidity impact information. Medium impact information is subdivided into viscosity impact information, purity impact information, and corrosive impact information. Track the state change trajectory of each transmission link's transmission information within a continuous time period, record the specific performance of each transmission link at different time nodes and the transmission state transition between adjacent time nodes, and form a state change archive for each transmission link. Track the trajectory of environmental action information of each type of action over a continuous time period, record the intensity of each type of action at different time points and the changes in action between adjacent time points, and form an archive of the changes in action of each type of action. Establish a time-synchronous association between the transmission links and the action forms, so that the status of the operational transmission information and the intensity of the environmental action information within the same time period correspond to each other, and generate a time-synchronous association table; Within each time period, establish the transmission trigger association between the operational transmission information of each transmission link and the corresponding environmental action information, present the trigger relationship of the state change of the operational transmission information under the action of environmental action information, and form multiple initial transmission associations; Track the propagation stability of each initial propagation association over multiple consecutive time periods, record the existence state and propagation logic of each initial propagation association in each time period, and retain the initial propagation associations that persist in multiple consecutive time periods and have consistent propagation logic. The initial transmission associations that are continuous and stable are linked together according to the transmission link categories of the transmission information. The initial transmission associations under the same category are connected according to the order of the transmission links to form the transmission sub-paths corresponding to each transmission link. The transmission sub-paths reflect the abnormal transmission logic of a single transmission link. By integrating all conduction sub-paths, extracting common conduction links in different conduction sub-paths, establishing the correlation between common conduction links, supplementing the connection and conduction information between conduction sub-paths, a conduction framework covering all conduction links and forms of action is formed. The transmission framework is supplemented with information on the transmission duration, transmission intensity changes, and transmission impact range of each transmission association, and integrated to form a defect transmission path, presenting the entire transmission process of operational anomalies caused by environmental factors.

3. The anomaly detection method for maintenance of a solenoid valve system according to claim 1, characterized in that, The defect root cause node of the solenoid valve system based on the defect propagation path location includes: Analyze the overall transmission structure of the defect transmission path, extract all transmission associations, transmission links, action forms, and connection relationships between the parts contained in the defect transmission path, and generate a transmission structure analysis report; Extract the conduction direction of each conduction association in the defect conduction path, and determine the unidirectional conduction direction of the conduction information from the environmental influence information to the operational conduction information through conduction signal flow direction analysis, thus forming a conduction direction map; Trace the starting point of the defect propagation path, reverse the propagation information from the end of the propagation path, check the upstream propagation source of each propagation association one by one, and record the upstream association information of each propagation association; Identify all initial conduction associations in the conduction path, and identify conduction associations that have no upstream conduction source and are directly caused by environmental factors or system components through upstream association information, and mark them as initial conduction associations; Calculate the transmission impact range of each initial transmission correlation in the transmission path, define key initial transmission correlations based on the size of the impact range, and form a list of key initial transmission correlations; For each key initial transmission correlation, retrieve the corresponding abnormal performance of operational transmission information and environmental effect information records, and analyze the direct correlation between the two by comparing correlation features to generate correlation analysis results; Simulate the removal of environmental action information or system components corresponding to each key initial transmission association, build a solenoid valve system transmission simulation platform to reproduce the complete transmission process of the defect transmission path, and continuously monitor the transmission process after performing the simulated removal operation; Monitor whether the defect propagation path after simulated removal can still form a complete propagation logic, record the changes in the propagation state of the propagation path, and filter out the initial propagation associations that cannot form a complete propagation logic after removal of the defect propagation path; The environmental action information or system components corresponding to the initial transmission associations are selected as candidate root source nodes. The standard action performance data of the candidate root source nodes under normal operating conditions are retrieved, and the actual action performance data of the candidate root source nodes under the current operating conditions are collected. By comparing the current performance of candidate root cause nodes with their standard performance, the role of these differences in the defect propagation path is traced. Candidate root cause nodes that can cause propagation anomalies are identified as the defect root cause nodes of the solenoid valve system. Information on the type, location, and initial abnormal performance of the defect root cause nodes is compiled to form a detailed list of defect root cause nodes.

4. The anomaly detection method for maintenance of a solenoid valve system according to claim 1, characterized in that, The process of adapting a targeted maintenance execution plan based on the defect root cause node and abnormal propagation mechanism, and generating solenoid valve maintenance instructions containing the targeted maintenance execution plan, includes: Analyze the types of defect root cause nodes in detail, and distinguish whether the defect root cause node is a system component defect or an abnormal environmental effect. If it is a system component defect, further define the component type and defect manifestation. If it is an abnormal environmental effect, define the abnormal effect form and impact. The abnormal transmission mechanism of the defect root node is thoroughly analyzed. The complete process of the defect root node gradually triggering the abnormal transmission of information in the subsequent transmission links through the transmission path is tracked. The abnormal triggering conditions of each transmission link are extracted to form a list of abnormal triggering conditions. Establish a targeted maintenance scheme database, which stores maintenance operation procedures, maintenance tool configurations, maintenance material specifications, and maintenance effect verification standards for different types of defect root cause nodes and corresponding abnormal transmission mechanisms, and stores them according to defect type and transmission mechanism; The types of defect root cause nodes and the characteristics of abnormal propagation mechanisms are matched with the defect types and propagation mechanism categories stored in the targeted maintenance scheme database, and the basic maintenance operation procedures and maintenance tool configurations under the successfully matched categories are retrieved. By combining the transmission range of the defect propagation path, the implementation scope of the basic maintenance operation process is expanded to include the defect root cause node and all transmission links affected by it in the maintenance coverage, forming an expanded maintenance scope list. To address the key transmission triggering conditions in the anomaly transmission mechanism, the basic maintenance operation process was optimized, and targeted transmission blocking steps were added to cut off the anomaly transmission path of the defect root node by blocking the key triggering conditions. Based on the specific location of the defect root cause node and the defect manifestation, match the corresponding maintenance material specifications, define the types and specific requirements of materials to be replaced or supplemented during the maintenance process, and form a maintenance material list. Construct a maintenance effectiveness verification process, extract the operational transmission information indicators and defect transmission path recovery standards that need to be detected after maintenance, and confirm whether the system has restored normal transmission logic through indicator detection and path verification; The integrated and adjusted maintenance operation process, optimized conduction blocking steps, matching maintenance tool configuration, maintenance material specifications, and maintenance effect verification process are combined to form a targeted maintenance execution plan. The integrated targeted maintenance execution plan is checked to confirm that the maintenance operation process, conduction blocking steps, maintenance tool configuration, maintenance material specifications, and maintenance effect verification process are all included, and to confirm that the plan content is targeted at the type, location, and abnormal conduction mechanism of the defect root cause node. The targeted maintenance execution plan is linked and bound to the defect root cause node and the abnormal transmission mechanism, and transformed into standardized solenoid valve maintenance instructions. This ensures that each operation step in the maintenance instructions corresponds to the abnormal problem of the defect root cause node or the key link of the abnormal transmission mechanism.

5. The anomaly detection method for maintenance of a solenoid valve system according to claim 2, characterized in that, The process involves fusing all conduction sub-paths, extracting common conduction links from different sub-paths, establishing relationships between these common conduction links, supplementing the connection and conduction information between sub-paths, and forming a conduction framework covering all conduction links and modes of action, including: Extract the information on the conduction links, conduction relationships and conduction directions contained in each conduction sub-path, and establish a summary table of conduction sub-path information to comprehensively present the core content and structural features of each conduction sub-path; By comparing the transmission links in different transmission sub-paths, transmission sub-paths with common transmission links are identified by comparing link names and functional descriptions, and the common transmission links are marked as connection nodes between different transmission sub-paths. Analyze the transmission role of the common transmission link in each relevant transmission sub-path, and determine whether it is the transmission start point, transmission intermediate node or transmission end point in different sub-paths by transmission direction and correlation, and record the role distribution of each common transmission link; Trace the transmission logic of the common transmission link in each relevant transmission sub-path, compare the input and output information of the common transmission link in different sub-paths, and determine the transmission connection relationship formed by the common transmission link in different sub-paths; Extract information on the transmission endpoints that do not connect with other sub-paths in each transmission sub-path, analyze the function and transmission direction of the transmission endpoints, and determine whether there are any subsequent transmission links that have not been included in the transmission endpoint; If there are any subsequent transmission links that have not been included, supplement the subsequent transmission links and their corresponding transmission association information, connect the isolated transmission sub-paths with the relevant subsequent transmission links, and improve the overall transmission logic; Integrate all transmission sub-paths into a whole transmission network formed by common transmission links and supplementary transmission information, and check whether each transmission link has been included in the whole network to avoid missing transmission links; Identify logical conflicts in the overall transmission network. For cases where different transmission directions exist in the same transmission link, determine the reasonable transmission direction based on the actual state change data of the transmission information during operation to eliminate logical conflicts. Based on the sequence of transmission links and the order of action of environmental information, the overall transmission network is structurally organized, transmission levels are divided, and a clear transmission framework is formed. In the documentation of the transmission framework, mark the connection position and transmission logic of each transmission association, and describe in words the relationship between all transmission sub-paths and the complete transmission logic.

6. The anomaly detection method for maintenance of a solenoid valve system according to claim 3, characterized in that, The simulation removes the environmental action information or system components corresponding to each key initial transmission association, builds a solenoid valve system transmission simulation platform to reproduce the complete transmission process of the defect transmission path, and continuously monitors the transmission process after performing the simulation removal operation, including: A solenoid valve system conduction simulation platform was built. This platform has the function of reproducing the complete conduction process of the defect conduction path, supports the simulation operation of removing specific environmental action information or system components, and can collect conduction process data in real time. The complete transmission process of the defect transmission path is digitally modeled, and the transmission correlation, transmission link, action form and transmission logic are transformed into a digital model that can be recognized by the solenoid valve system transmission simulation platform. Based on the transmission correlation, transmission link, action form and transmission logic recorded in the defect transmission path, the parameters and logical relationships of the digital model are set. Following the order of the key initial transmission association list, the environmental action information or system components corresponding to each key initial transmission association are selected as simulated removal objects to form a simulated removal object list; In the solenoid valve system conduction simulation platform, the simulated conduction process of the defect conduction path is started. After the conduction process enters a stable state, the simulated removal operation is performed according to the simulated removal object list to disable the function or role of the removed object. Activate the real-time monitoring function of the solenoid valve system conduction simulation platform to continuously collect conduction process data after simulation removal, and record the changes in the operation and conduction information status of each conduction link in the conduction path and the maintenance of conduction association. The integrity of the transmission path after the simulation removal is analyzed. By comparing the transmission path structure and transmission data before and after removal, it is determined whether the transmission can still be transmitted from the initial point of action to the terminal abnormal operation transmission information node. If the transmission path cannot complete the transmission after the simulated removal, record in detail the initial transmission association corresponding to the removed object and the specific location and reason for the transmission interruption, forming a transmission interruption analysis record; If the conduction path can still complete the conduction after the simulation is removed, continue to monitor the conduction strength and stability of the subsequent conduction links, collect conduction strength data and stability-related parameters, and determine whether there is conduction weakening or conduction delay. Repeat the above simulation operation and monitoring analysis process for each key initial transmission association corresponding to the removed object, and compile all monitoring records of simulated removal operations and transmission integrity analysis results, classify and summarize them according to the simulated removal object, and form a simulation removal analysis report.

7. The anomaly detection method for maintenance of a solenoid valve system according to claim 4, characterized in that, The aforementioned optimization of the basic maintenance operation process, targeting key transmission triggering conditions in the anomaly transmission mechanism, adds targeted transmission blocking steps to cut off the anomaly transmission path of the defect root node by blocking key triggering conditions, including: The abnormal propagation mechanism is analyzed, and key propagation triggering conditions that can trigger abnormalities in subsequent propagation links are extracted by analyzing the propagation path and triggering relationship. The key propagation triggering conditions are the abnormal initiation nodes that are indispensable in the propagation path. Analyze the triggering method of each key conduction triggering condition, and determine whether it is triggered by the intensity of environmental influence, abnormal component status, or abnormal conduction signal by analyzing the source of the trigger signal and the triggering process; Analyze the trigger thresholds and timing of key conduction triggering conditions, and determine the parameter range and time node position of the triggering conditions through historical conduction data statistics and triggering process simulation. Based on the triggering methods and thresholds of key conduction triggering conditions, a targeted conduction blocking strategy is constructed. The conduction blocking strategy can prevent the triggering conditions from taking effect or weaken their triggering ability without affecting the normal conduction process. By combining the steps of the basic maintenance operation process, we analyze the effective time of key transmission triggering conditions, determine the best time to implement the transmission blocking steps, and enable the blocking operation to be performed before or at the initial stage of the triggering conditions take effect. The operational details of the conduction blocking steps are refined. Based on the blocking strategy, the specific operations, tools, and precise locations of each blocking step are determined, forming a detailed operational description. The conduction blocking step is executed in a simulated environment to check whether the critical conduction triggering condition still takes effect after the blocking step is executed, and to check whether the operation status of the normal conduction link is affected. The blocking step can be effectively prevented from taking effect by the simulation operation, while the operation status of the normal conduction link is checked. When refining the operation content of the conduction blocking step, the operation precision and range constraints are set to ensure that the operation only acts on the part related to the critical conduction triggering condition. Adjust the connection sequence between the conduction blocking step and other steps in the basic maintenance operation process, and use process simulation to identify operational conflicts or process gaps between different steps and optimize the step connection logic. Supplement the operational guidelines and precautions for conduction blocking procedures, and based on the detailed operational instructions, determine the force, speed, and post-operation status monitoring content to be controlled during the operation, forming an operational guidelines document; The optimized conduction blocking steps are integrated into the basic maintenance operation process, and combined according to the best implementation time and connection logic to form a complete maintenance operation process that includes targeted blocking functions, so as to effectively cut off abnormal conduction paths.

8. The anomaly detection method for maintenance of a solenoid valve system according to claim 2, characterized in that, The tracking of the propagation stability of each initial propagation correlation over multiple consecutive time periods, recording the existence state and propagation logic of each initial propagation correlation in each time period, and retaining initial propagation correlations that persist and have consistent propagation logic over multiple consecutive time periods, includes: The number of continuous time periods for tracking and monitoring is set. This number of continuous time periods is determined based on the operating cycle characteristics of the solenoid valve system and the changing law of the conduction correlation, and is used to reflect the conduction stability of the initial conduction correlation. Within each tracking time period, the same data acquisition method as when establishing the initial transmission association is used to collect the operational transmission information status of the corresponding transmission link and the intensity of the influence of related environmental factors. Based on the collected data, analyze the transmission triggering relationship of each initial transmission association within the current time period, determine whether the original transmission triggering relationship is still maintained, and record the existence status of the transmission association; Compare the propagation logic of each initial propagation relationship in the current time period with the propagation logic in the previous time period, analyze the logical consistency, and record the specific manifestations of logical consistency or inconsistency. The number of times each initial propagation correlation exists within a continuous tracking period is counted, and the proportion of the number of existences to the total number of tracking periods is calculated to form existence ratio data. The number of times the propagation logic is consistent for each initial propagation association within a continuous tracking time period is counted, and the proportion of the number of logical consistency times to the total number of tracking periods is calculated to form logical consistency ratio data. Based on the conduction characteristics of the solenoid valve system during normal operation, quantitative reference data related to conduction stability is compiled. This quantitative reference data includes a proportional baseline value and a logically consistent proportional baseline value. The existence ratio data and logical consistency ratio data of each initial transmission association are compared with the quantitative reference data, and the initial transmission associations in which both ratio data reach or exceed the benchmark value are selected. Analyze the transmission status change data of the selected initial transmission correlation within the tracking period to determine whether the trend of change is stable and whether there are sudden fluctuations exceeding the preset threshold. The initial transmission associations that pass the re-verification are retained, while those that have a proportion or logical consistency ratio that does not reach the benchmark value or have sudden abnormal fluctuations are removed, forming a stable transmission association set.

9. The anomaly detection method for maintenance of a solenoid valve system according to claim 3, characterized in that, The process of comparing the current performance of candidate root cause nodes with their standard performance, tracing the role of these differences in the defect propagation path, and identifying the candidate root cause nodes corresponding to differences that can trigger propagation anomalies as the defect root cause nodes of the solenoid valve system includes: Retrieve the construction technical documents and normal operation standard manual of the solenoid valve system, and find the standard action performance corresponding to the candidate root cause node. The standard action performance includes action intensity, action range, action timing and action feedback related data. Using the same acquisition method, frequency, and precision as the standard performance data, collect the actual performance data of candidate root source nodes in the current operating state; The standard performance data and the actual performance data are aligned in dimensions, and the two are divided into the same comparison dimensions, including intensity dimension, range dimension, time series dimension and feedback dimension, so as to facilitate comparison by dimension. Compare the standard performance data with the actual performance data dimension by dimension, record the differences in each dimension, and describe in detail the specific manifestations and related characteristics of the differences; Analyze the possible causes of each difference, and combine the operating environment, service life and maintenance history of the solenoid valve system to eliminate differences caused by non-defect factors such as normal operation fluctuations and data acquisition errors. Tracing the role of each difference point in the defect propagation path, analyzing whether the difference point can trigger the subsequent abnormal initiation or abnormal propagation, and verifying the impact of the difference point through propagation simulation; The simulation adjusts the actual behavior of the candidate root cause nodes to the standard behavior, reproduces the defect propagation path in the solenoid valve system propagation simulation platform, and monitors whether the defect propagation path can restore the normal propagation logic. If the defect propagation path returns to normal propagation logic after simulation adjustment, then the difference point is confirmed as the initial cause of the propagation anomaly, and the confirmation result and related verification data are recorded. The differences and confirmation results of all candidate root cause nodes are summarized. The verification process records and data of each candidate root cause node are reviewed to confirm that the steps of tracing differences, simulation verification and result confirmation have been completed. A candidate root cause node verification report is generated, which records in detail the standard performance data, actual performance data, differences, confirmation results of anomalies and verification process. Based on the report, the candidate root cause nodes that are confirmed to cause anomalies are determined as the defect root cause nodes of the solenoid valve system.

10. The anomaly detection method for maintenance of a solenoid valve system according to claim 1, characterized in that, After adapting the targeted maintenance execution scheme based on the defect root cause node and anomaly propagation mechanism, it also includes: Collect post-maintenance operation transmission information and post-maintenance environmental effect information of the solenoid valve system after executing the targeted maintenance plan. The post-maintenance operation transmission information includes post-maintenance action transmission information, post-maintenance medium transmission information, and post-maintenance component linkage information. By comparing the post-maintenance operation transmission information with the standard operation transmission information in the normal operation standard database of the solenoid valve system, the recovery deviation value of each transmission link is calculated. The recovery deviation value includes the action transmission recovery deviation, the medium transmission recovery deviation, and the component linkage recovery deviation. Compare the environmental impact information after maintenance with the standard environmental impact information in the normal operation standard database of the solenoid valve system, and calculate the impact recovery deviation value for each type of impact. The impact recovery deviation value includes temperature impact recovery deviation, humidity impact recovery deviation and medium impact recovery deviation. The recovery deviation value of each transmission link is weighted and fused with the abnormal transmission contribution weight of the corresponding transmission link in the defect transmission path to generate a recovery quality score for each transmission link. The recovery quality scores of all transmission links are integrated and processed to generate an overall recovery quality index for the solenoid valve system. The overall recovery quality index is used to quantitatively evaluate the maintenance effect of the targeted maintenance execution plan. The overall recovery quality index is compared with a preset maintenance effect threshold. When the overall recovery quality index is lower than the maintenance effect threshold, an insufficient maintenance effect warning message is generated, which includes the deviation transmission link identifier and the deviation action form identifier.

11. The anomaly detection method for maintenance of a solenoid valve system according to claim 1, characterized in that, After generating the solenoid valve maintenance command containing the targeted maintenance execution plan, the method further includes: Collect maintenance process monitoring data after the solenoid valve system executes the solenoid valve maintenance command. The maintenance process monitoring data includes maintenance operation timing data, maintenance tool usage data, and maintenance material consumption data. The maintenance operation timing data and the preset standard operation timing in the targeted maintenance execution plan are subjected to timing consistency analysis to generate operation timing deviation characteristics including operation delay time parameters and operation advance time parameters; The tool usage data of the maintenance tools is analyzed and processed to match the standard tool configuration preset in the targeted maintenance execution plan, and tool usage deviation characteristics including tool type matching parameters and tool quantity matching parameters are generated. The maintenance material consumption data and the preset standard material specifications in the targeted maintenance execution plan are analyzed and processed to generate material consumption deviation characteristics that include material usage deviation parameters and material specification compliance parameters. The operation timing deviation characteristics, the tool usage deviation characteristics, and the material consumption deviation characteristics are fused together to generate a comprehensive score for maintenance execution standardization. The comprehensive score of maintenance execution standardization is compared with a preset standardization compliance threshold. When the comprehensive score of maintenance execution standardization is lower than the standardization compliance threshold, maintenance execution deviation warning information containing the deviation operation step identifier is generated. The maintenance execution deviation early warning information is associated and bound with the defect root cause node identifier and stored in the maintenance history database of the solenoid valve system. This information is used to optimize the operation sequence, tool configuration and material specification settings of subsequent targeted maintenance execution plans.

12. An anomaly detection system for maintenance of a solenoid valve system, characterized in that, include: processor; A machine-readable storage medium for storing machine-executable instructions of the processor; The processor is configured to execute the anomaly detection method for maintenance of a solenoid valve system as described in any one of claims 1 to 11 by executing the machine-executable instructions.

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