Intelligent Adjustment Method of Pneumatic Solenoid Valve Control System

Abstract

The present invention discloses an intelligent adjustment method for a pneumatic solenoid valve control system, which relates to the technical field of pneumatic solenoid valve control and specifically includes the following steps: based on the collected valve core feedback displacement direction change information, determining whether the valve core offset direction repeatedly changes; when determining that the valve core offset direction repeatedly changes, obtaining displacement trend assessment information in real time, and analyzing it after acquisition to assess the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes; and executing corresponding adjustment measures on the pneumatic solenoid valve control system based on the assessment results. The present invention solves the problem that the existing pneumatic solenoid valve control system cannot accurately assess and dynamically adjust according to the valve core displacement direction change trend under continuous opening adjustment instructions, realizes intelligent adjustment control based on real-time trend recognition and adaptive strategy adjustment, and significantly improves the adjustment accuracy, response efficiency and operational reliability of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of pneumatic solenoid valve control, and in particular to an intelligent adjustment method for a pneumatic solenoid valve control system. Background Art

[0002] Pneumatic solenoid valves are actuators that use electromagnetic principles to control valve core movement, thereby regulating the flow of gaseous media. They are widely used in automated control systems. Their core principle is to drive the solenoid coil via an electrical signal, causing the mechanical structure within the valve body to respond and rapidly switch the compressed air flow path. A pneumatic solenoid valve control system, based on multiple pneumatic solenoid valves, integrates sensors, controllers, actuator modules, and feedback loops to form an automated control system. It precisely controls air flow, pressure, and rhythm to drive the stable operation of various pneumatic actuators (such as cylinders). However, traditional systems suffer from a single control strategy, feedback lag, and low control accuracy, making it difficult to achieve efficient and adaptive control in the face of changing operating conditions (such as load fluctuations, air source fluctuations, and environmental disturbances). Therefore, to improve the response speed, control accuracy, and intelligence level of pneumatic systems, it is necessary to introduce intelligent control mechanisms into pneumatic solenoid valve control systems. Through real-time data sensing and algorithm optimization, they can maintain high performance even in dynamic environments.

[0003] Existing intelligent control technologies for pneumatic solenoid valve control systems primarily involve four key steps: signal acquisition, state identification, intelligent decision-making, and feedback control. First, real-time operating data from terminal equipment, such as pipeline pressure, valve opening, and cylinder displacement, is collected through pressure sensors, flow sensors, or displacement sensors. This data is then used by a microprocessor in the control unit to identify the state and determine the operating condition. This data is then combined with a preset model or adaptive algorithm (such as PID control, fuzzy control, or neural networks) to make intelligent decisions. The system then adjusts the solenoid valve's on / off frequency, opening time, or control current based on the algorithm's output, thereby precisely regulating air flow. Finally, a closed-loop feedback mechanism monitors the adjustment effect in real time and continuously modifies the control strategy, ensuring that the system maintains optimal control even under complex or changing environmental conditions. Furthermore, some advanced systems incorporate remote communication modules to enable online optimization of control strategies and provide fault warnings, significantly enhancing the system's automation and intelligence.

[0004] The existing technology has the following deficiencies:

[0005] When a pneumatic solenoid valve control system continuously issues multiple sets of opening adjustment commands to a pneumatic solenoid valve, the valve core often requires frequent, small displacement adjustments to achieve high-precision airflow control. However, during physical execution, the valve core is subject to the combined effects of its own inertia, driving air pressure fluctuations, and fluid disturbances, making it prone to repeated fluctuations in the feedback displacement direction. This occurs when the feedback signal fluctuates between approaching and deviating from the target opening range, manifesting as unstable jitter. Existing intelligent control technologies for pneumatic solenoid valve control systems are unable to adapt the control system to the displacement direction trends of the valve core's repeated displacement fluctuations under continuous opening adjustment commands. This is primarily due to the fact that current control strategies typically rely solely on instantaneous position deviations and lack the ability to model feedback behavior trends. Consequently, the system can mistakenly determine that the adjustment is incomplete and issue repeated adjustment commands, causing the valve core to be repeatedly pushed and pulled back even when it is close to the target, resulting in an ineffective adjustment cycle. This not only reduces adjustment efficiency but can also lead to response delays, air waste, valve core fatigue, and decreased system stability.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0007] The purpose of the present invention is to provide an intelligent adjustment method for a pneumatic solenoid valve control system to solve the problems in the above-mentioned background technology.

[0008] In order to achieve the above object, the present invention provides the following technical solution: an intelligent adjustment method for a pneumatic solenoid valve control system, specifically comprising the following steps:

[0009] During the period when the pneumatic solenoid valve executes the continuous opening adjustment command issued by the pneumatic solenoid valve control system, the valve core feedback displacement direction change information is collected in real time, and the command processing sequence and feedback collection process are optimized through command aggregation and feedback release;

[0010] Based on the collected information about the change in the displacement direction of the valve core feedback, determine whether the valve core offset direction repeatedly changes;

[0011] When it is determined that the valve core offset direction repeatedly changes, displacement trend assessment information is acquired in real time, and analyzed after acquisition to assess the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes;

[0012] Based on the evaluation results, corresponding adjustment measures are implemented on the pneumatic solenoid valve control system;

[0013] During the execution of the adjustment measures, the valve core displacement direction change information is continuously collected to identify the dynamic change state of the valve core displacement direction change trend, and the self-correction adjustment operation is performed based on the identified dynamic change state;

[0014] During the execution of adjustment measures and self-correction adjustment operations, the valve core feedback displacement direction change information is continuously monitored, and the adjustment strategy of the pneumatic solenoid valve control system is dynamically adjusted according to the continuously monitored change trend.

[0015] Preferably, judging whether the valve core offset direction repeatedly changes based on the collected valve core feedback displacement direction change information specifically includes the following steps:

[0016] Based on the collected valve core feedback displacement direction change information, a displacement direction change sequence arranged in chronological order is generated;

[0017] Extract the number of consecutive direction changes in the displacement direction change sequence within a preset detection time window;

[0018] The extracted number of continuous direction changes is compared with a preset direction change number threshold, and whether the phenomenon of repeated changes in the valve core offset direction occurs is determined based on the comparison result. Specifically: if the extracted number of continuous direction changes exceeds the preset direction change number threshold, it is determined that the phenomenon of repeated changes in the valve core offset direction occurs; otherwise, it is determined that the phenomenon of repeated changes in the valve core offset direction does not occur.

[0019] Preferably, when it is determined that the valve core offset direction repeatedly changes, displacement trend evaluation information is acquired in real time, and analyzed after acquisition to evaluate the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes, specifically including the following steps:

[0020] When it is determined that the valve core offset direction changes repeatedly, the displacement trend assessment information is obtained in real time and pre-processed after acquisition;

[0021] Extracting the valve core displacement fluctuation characteristic information and the valve core direction change density information from the pre-processed displacement trend assessment information, and analyzing them after extraction to generate the displacement direction fluctuation coefficient and the displacement direction change density coefficient respectively;

[0022] A change trend assessment model is constructed for the generated displacement direction fluctuation coefficient and displacement direction change intensive coefficient, and a change trend assessment coefficient is generated through weighted summation;

[0023] Determine a preset change trend assessment coefficient threshold interval, and compare it with the generated change trend assessment coefficient after determination, and evaluate the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes according to the comparison result.

[0024] Preferably, the logic for obtaining the displacement direction fluctuation coefficient is as follows:

[0025] The valve core displacement fluctuation characteristic information is extracted from the pre-processed displacement trend evaluation information, specifically including the displacement change corresponding to each direction change of the valve core within the detection period, the absolute change of the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection period, and the absolute difference between the valve core feedback displacement value and the target opening displacement value at the end point of the detection period, and calibrated as 、 and , Indicates the valve core’s first The displacement change corresponding to the secondary direction change is, Indicates the absolute change in the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection cycle. Indicates the absolute difference between the valve core feedback displacement value and the target setting opening displacement value at the end of the detection cycle. , is a positive integer;

[0026] Calculate the displacement direction fluctuation coefficient. The specific calculation formula is as follows: Where, is the fluctuation coefficient in the displacement direction.

[0027] Preferably, the logic for obtaining the displacement direction change intensive coefficient is as follows:

[0028] The valve core direction change density information is extracted from the pre-processed displacement trend evaluation information, specifically including the maximum single direction change displacement of the valve core within the detection period and the standard deviation of the displacement change corresponding to all single direction changes of the valve core, and calibrated as and , Indicates the maximum single directional displacement of the valve core within the detection cycle. Indicates the standard deviation of the displacement change corresponding to all single direction changes of the valve core within the detection period. , is a positive integer;

[0029] Calculate the displacement direction change density coefficient. The specific calculation formula is as follows:

[0030] Where, is the displacement direction variation coefficient, Indicates the absolute change in the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection cycle. It is the cumulative number of times the valve core displacement direction changes during the detection cycle.

[0031] Preferably, the generated displacement direction fluctuation coefficient and displacement direction variation coefficient Construct a change trend assessment model and generate a change trend assessment coefficient through weighted summation. The specific calculation formula is as follows:

[0032] Where, is the change trend assessment coefficient, and The displacement direction fluctuation coefficients are and displacement direction variation coefficient The non-zero weight coefficient of .

[0033] Preferably, a preset threshold interval of the change trend evaluation coefficient is determined , and after determination, the generated trend evaluation coefficient Compare and evaluate the displacement trend of the valve core when the valve core offset direction repeatedly changes based on the comparison results. The specific comparison analysis is as follows:

[0034] like , when the valve core offset direction changes repeatedly, the displacement direction change trend of the valve core is a normal convergence trend;

[0035] like When the valve core offset direction changes repeatedly, the displacement direction of the valve core shows a slight fluctuation trend;

[0036] like When the valve core offset direction changes repeatedly, the displacement direction change trend of the valve core is an abnormal divergent trend.

[0037] Preferably, according to the evaluation results, corresponding adjustment measures are respectively performed on the pneumatic solenoid valve control system, specifically:

[0038] If the evaluation result shows a normal convergence trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: maintain the current adjustment step size, feedback sampling frequency, and continuous instruction issuance rhythm, continue to execute the established adjustment action, and do not change the existing adjustment strategy;

[0039] If the assessment result indicates a slight fluctuation trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: adjusting the adjustment step size to a level smaller than the currently set step size, increasing the intensity of the feedback filtering process, and extending the interval between issuing fine-tuning commands to reduce the interference of displacement direction fluctuations on the opening control process;

[0040] If the evaluation result is an abnormal divergent trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: resetting the opening adjustment benchmark of the current detection cycle, reducing the frequency of issuing continuous opening adjustment instructions, enabling the protection mode that limits the adjustment step, and introducing a feedback abnormality detection mechanism to perform abnormal marking and adjustment interrupt processing on cycles with continuous direction changes, so as to suppress the trend of the valve core continuously deviating from the target position.

[0041] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0042] 1. The present invention introduces the real-time collection and analysis of the valve core feedback displacement direction change information, combined with the joint modeling of the displacement direction fluctuation coefficient and the displacement direction change intensive coefficient, to construct a change trend assessment model, so as to accurately assess the specific trend state of the valve core displacement direction change when the valve core offset direction repeatedly changes. Compared with the existing adjustment strategy that only relies on the instantaneous position deviation for simple judgment, this technical solution can accurately distinguish between the three change modes of normal convergence trend, slight fluctuation trend and abnormal divergence trend based on the dynamic characteristics of continuous feedback data, avoid misjudging the adjustment state, and fundamentally solve the problem of continuous invalid adjustment cycle caused by feedback fluctuations. It greatly improves the system's ability to identify the true movement trend of the valve core under complex disturbance environments, and lays a solid foundation for the targeted implementation of subsequent adjustment measures.

[0043] 2. Based on the accurate identification of the trend of changes in the displacement direction of the valve core, the present invention designs corresponding adjustment measures for different trend assessment results, including multi-level dynamic adjustment mechanisms such as maintaining the original strategy, adjusting the adjustment parameters, and triggering the protective mode, forming an intelligent adjustment system with self-adaptive capabilities. By dynamically adjusting the adjustment step size, feedback filter parameters and fine-tuning the instruction rhythm, and combining the adjustment reference reset, instruction release, anomaly detection and interruption protection operations after abnormal trend identification, it can effectively prevent the valve core from continuously deviating from the target displacement trajectory under abnormal fluctuations, and significantly improve the robustness and control accuracy of the adjustment link. Compared with the traditional fixed logic adjustment method, this technical solution realizes trend-driven dynamic adjustment in the true sense, so that the pneumatic solenoid valve control system can always maintain the optimal response under different working conditions, reduce energy consumption, and increase the service life of the actuator.

[0044] 3. The present invention further sets up a mechanism for continuously monitoring the valve core feedback displacement direction change information in the process of executing adjustment measures and self-correction adjustment operations, identifies the dynamic change state in real time, and continuously optimizes the adjustment strategy according to the change trend, thereby building a complete closed-loop adaptive optimization link. Through the real-time linkage of dynamic trend identification and strategy adjustment, it can quickly respond to changes in working conditions, promptly correct potential adjustment deviations, prevent the adjustment process from becoming unstable due to external disturbances or internal fluctuations, and ensure that the pneumatic solenoid valve reaches the set opening quickly and accurately with the optimal control path. On the whole, this technical solution gives the pneumatic solenoid valve control system a high degree of dynamic perception, adaptive adjustment and continuous optimization capabilities, significantly improves the stability, reliability and control efficiency of the system in complex dynamic environments, and fully reflects the novelty and creative value of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0046] Figure 1 The figure is a flow chart of the intelligent adjustment method of the pneumatic solenoid valve control system of the present invention.

[0047] Figure 2 This is a mind map of the intelligent adjustment method of the pneumatic solenoid valve control system of the present invention. DETAILED DESCRIPTION

[0048] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0049] The present invention provides Figure 1 and Figure 2 The intelligent adjustment method of the pneumatic solenoid valve control system shown in the figure specifically includes the following steps:

[0050] During the period when the pneumatic solenoid valve executes the continuous opening adjustment command issued by the pneumatic solenoid valve control system, the valve core feedback displacement direction change information is collected in real time, and the command processing sequence and feedback collection process are optimized through command aggregation and feedback release;

[0051] While the pneumatic solenoid valve is executing continuous opening adjustment commands issued by the pneumatic solenoid valve control system, a dedicated data monitoring and acquisition module can be established within the control system to achieve real-time collection of valve core displacement direction change feedback information. The specific implementation method is: after each opening adjustment command is issued, the system immediately triggers the feedback monitoring logic, reads the valve core displacement data returned by the pneumatic solenoid valve's built-in position sensor, displacement encoder, or feedback module in real time, and continuously records the valve core's feedback displacement value within each time slice. The acquisition module continuously captures valve core position changes by setting an extremely short sampling period (such as once every tens of milliseconds), and arranges the feedback data in order according to the timestamp, thereby forming a continuous, complete, and comprehensive valve core displacement change information stream, providing the original basic data for subsequent trend analysis.

[0052] In order to achieve command aggregation and feedback release through software, a command scheduling and feedback release module can be added to the pneumatic solenoid valve control system. The specific implementation methods include: first, when the system continuously issues opening adjustment commands, it aggregates multiple groups of fine-tuning commands in adjacent time periods, and logically merges commands with the same target opening change trend direction and small displacement change into a group of adjustment actions, thereby reducing the number of high-frequency, fine-grained independent commands and reducing the system response pressure. Secondly, in the feedback collection process, a feedback release mechanism is introduced, that is, when continuously obtaining micro-amplitude fluctuation feedback values, based on the set release threshold and time window, the immediate response to subtle feedback changes is temporarily suspended, and formal recording and response processing is triggered only when the accumulation reaches a certain trend or amplitude change, thereby effectively filtering out invalid feedback caused by normal micro-jitter and noise, and ensuring the validity of the collected data and the efficiency of the system processing.

[0053] The reason for collecting real-time feedback on valve spool displacement direction changes during continuous opening adjustment commands and introducing a command aggregation and feedback release mechanism to optimize command processing and feedback collection is that during the continuous small-step opening adjustment process of the pneumatic solenoid valve, the valve spool will experience frequent and subtle fluctuations due to factors such as inertia and airflow disturbances. If the system simply and crudely responds to each fine-tuning command and each tiny feedback change one by one, it will not only cause frequent system adjustments, increased load, and accumulated delays, but also easily interfere with the accuracy of subsequent trend identification and assessment due to the large amount of meaningless instantaneous jitter data collected. By aggregating fine-tuning commands through software, the frequency and redundancy of adjustment actions can be effectively reduced, and the continuity and rationality of the control rhythm can be improved. By filtering out invalid subtle fluctuations through feedback release, the representativeness and trend of the collected data can be improved, providing a more realistic and stable data foundation for subsequent displacement direction change trend analysis, thereby improving the overall intelligent adjustment quality and response efficiency of the pneumatic solenoid valve control system.

[0054] Based on the collected information about the change in the displacement direction of the valve core feedback, determine whether the valve core offset direction repeatedly changes;

[0055] In this embodiment, based on the collected information on the change in displacement direction of the valve core feedback, determining whether the phenomenon of repeated changes in the offset direction of the valve core occurs specifically includes the following steps:

[0056] Based on the collected valve core feedback displacement direction change information, a displacement direction change sequence arranged in chronological order is generated;

[0057] After collecting the valve core feedback displacement direction change information, a data processing module can be set up in the pneumatic solenoid valve control system to calculate the difference between the valve core feedback displacement value recorded at each moment and the feedback displacement value at the previous moment in the chronological order of data collection. The direction of the current displacement change is determined based on the positive or negative sign of the difference value, and the displacement direction mark (for example, "forward" or "reverse") determined at each moment is stored sequentially with the timestamp as the index, forming a displacement direction change sequence arranged in chronological order. Specifically, when the system receives each set of feedback data, it calculates the difference between the current feedback value and the previous feedback value in real time. If the difference is positive, it is marked as a positive change; if the difference is negative, it is marked as a reverse change; if the difference is zero, the previous direction mark is retained. In this way, the displacement direction changes within all time segments are continuously extracted and sorted, thereby generating a complete, continuous, and time-arranged displacement direction change sequence for subsequent use in detecting repeated changes in the valve core offset direction.

[0058] Extract the number of consecutive direction changes in the displacement direction change sequence within a preset detection time window;

[0059] After generating a chronological sequence of displacement direction changes, a detection time window parameter can be set in the pneumatic solenoid valve control system. Using the window start time as a reference, the displacement direction change data within that time period is captured from the sequence. The captured data sequence is then traversed in chronological order, with adjacent direction markers compared in sequence. When a difference is detected between the two adjacent direction markers (for example, a change from "forward" to "reverse," or from "reverse" to "forward"), this change is recorded as a direction change, and the number of such changes is accumulated within the system. After the traversal is complete, the system counts the number of consecutive direction changes that occurred within the detection time window. By setting a unified time window boundary and combining real-time traversal with direction comparison logic, this entire process effectively extracts data on the number of consecutive direction changes that reflect the dynamic characteristics of the valve core movement, providing a foundation for subsequent determination of repeated changes in the valve core offset direction.

[0060] The extracted number of continuous direction changes is compared with a preset direction change number threshold, and whether the phenomenon of repeated changes in the valve core offset direction occurs is determined based on the comparison result. Specifically: if the extracted number of continuous direction changes exceeds the preset direction change number threshold, it is determined that the phenomenon of repeated changes in the valve core offset direction occurs; otherwise, it is determined that the phenomenon of repeated changes in the valve core offset direction does not occur.

[0061] The preset threshold value of the number of direction changes can be specifically determined by introducing a historical data analysis and valve core response characteristic modeling module into the pneumatic solenoid valve control system. First, during the system initialization or debugging phase, based on the valve core feedback displacement direction change information actually collected under multiple typical working conditions, the distribution range of the number of continuous direction changes in the normal stable adjustment state and the abnormal repeated offset state is statistically analyzed; then, the collected statistical data is clustered or threshold segmented by the software analysis module to identify the reasonable upper limit of the number of direction changes under normal conditions and the characteristic lower limit of the number of changes under abnormal conditions, and on this basis, a dividing threshold is set as a judgment criterion; the threshold value of the number of direction changes can be flexibly adjusted through the system parameter configuration interface according to different application scenarios, and can also be dynamically corrected through an adaptive update mechanism during system operation to ensure that the judgment criterion is continuously optimized as the working conditions change, which can not only accurately identify abnormal repeated changes, but also avoid misjudgment of normal fine-tuning fluctuations.

[0062] When it is determined that the valve core offset direction repeatedly changes, displacement trend assessment information is acquired in real time, and analyzed after acquisition to assess the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes;

[0063] In this embodiment, when it is determined that the valve core offset direction repeatedly changes, displacement trend assessment information is acquired in real time and analyzed after acquisition to assess the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes. Specifically, the following steps are included:

[0064] When it is determined that the valve core offset direction changes repeatedly, the displacement trend assessment information is obtained in real time and pre-processed after acquisition;

[0065] When repeated changes in valve spool offset direction are detected, displacement trend assessment information can be obtained in real time by invoking an established data acquisition and integration module within the pneumatic solenoid valve control system. This is achieved by first extracting a continuous sequence of displacement changes from the basic displacement change data continuously collected from the valve spool feedback system according to pre-set data sampling rules (e.g., immediate capture after each feedback update). Secondly, in conjunction with the direction change detection module, the valve spool displacement direction change markers and magnitudes are synchronously recorded in real time. Furthermore, key parameters such as the acquired displacement change, number of direction changes, maximum single magnitude, and target opening deviation are aggregated and integrated in chronological order to form a complete multidimensional dataset that meets the requirements for trend assessment. Finally, this multidimensional dataset is generated into a uniformly formatted data object in an internal buffer pool, defined as displacement trend assessment information, for subsequent preprocessing and trend analysis. This entire process is automated at the software system level through event triggering and data flow control mechanisms, ensuring real-time, synchronous, and uninterrupted data acquisition, extraction, and integration.

[0066] Preprocessing the acquired displacement trend assessment information ensures the accuracy, consistency, and usability of the data foundation for subsequent characteristic information extraction and trend assessment model construction, preventing issues such as outliers, noise, and inconsistent formats in the original acquired data from affecting the analysis results. Specific preprocessing steps include: first, outlier removal: By setting reasonable fluctuation range thresholds, anomalous displacement changes that clearly exceed the physically reasonable range are identified and deleted; second, noise smoothing: Using median filtering or local weighted regression smoothing algorithms to denoise the displacement change series and reduce the interference of high-frequency random jitter; and third, data normalization: Scaling data of different dimensions, such as displacement change, maximum change amplitude, and deviation, to a standardized range to facilitate subsequent comprehensive evaluation calculations. These preprocessing steps are automatically performed at the software level through logical modules such as data filtering, anomaly detection, smoothing fitting, and normalization transformation. This generates a set of standardized and optimized high-quality displacement trend assessment information, ensuring the reliability and analytical accuracy of the subsequently extracted valve core displacement fluctuation characteristic information and directional change density information.

[0067] Extracting the valve core displacement fluctuation characteristic information and the valve core direction change density information from the pre-processed displacement trend assessment information, and analyzing them after extraction to generate the displacement direction fluctuation coefficient and the displacement direction change density coefficient respectively;

[0068] Extracting valve spool displacement fluctuation characteristics and valve spool direction change density information from preprocessed displacement trend assessment information can be achieved by establishing feature extraction logic in the software analysis module of the pneumatic solenoid valve control system. Specifically, the following steps are performed: First, the displacement change sequence corresponding to each valve spool displacement direction change is extracted from the standardized displacement change data. Based on this sequence, the total displacement fluctuation is accumulated and summed to obtain the total displacement fluctuation. The net displacement change of the valve spool and the absolute value of the end point deviation from the target displacement are calculated to prepare data for the subsequent generation of the displacement direction fluctuation coefficient. Second, the number of valve spool direction changes is counted from the displacement change direction mark sequence, and the maximum displacement change of all single direction change events is extracted. The net displacement change is also calculated to prepare data for the subsequent generation of the displacement direction change density coefficient. After data extraction is completed, the system aggregates and classifies the extracted data to form two standardized data sets: valve spool displacement fluctuation characteristics information and valve spool direction change density information. Each set contains the basic data necessary to generate the target coefficient, ensuring direct use in subsequent analysis. The entire process is automatically completed by the software's internal data parsing and indicator calculation logic, ensuring accurate, real-time, and standardized extraction operations.

[0069] A change trend assessment model is constructed for the generated displacement direction fluctuation coefficient and displacement direction change intensive coefficient, and a change trend assessment coefficient is generated through weighted summation;

[0070] Determine a preset change trend assessment coefficient threshold interval, and compare it with the generated change trend assessment coefficient after determination, and evaluate the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes according to the comparison result.

[0071] In order to determine the preset threshold interval of the change trend evaluation coefficient, a software module based on historical operating condition data modeling and classification analysis can be introduced into the pneumatic solenoid valve control system. The specific method is as follows: First, during the system debugging or initialization phase, a large number of change trend evaluation coefficient sample data generated under typical operating conditions are collected, covering various valve core displacement direction change trend states such as normal approaching stability, mild fluctuations, and severe fluctuations; then, the collected evaluation coefficient samples are grouped using a data clustering algorithm, and the evaluation coefficients are naturally divided into several trend categories based on their numerical characteristics, with each category corresponding to a certain numerical interval; then, using the interval boundary analysis method, the upper and lower bounds of the evaluation coefficient distribution of each category are extracted as preliminary threshold intervals. Through outlier removal and distribution optimization adjustment, the boundaries of each interval are further smoothed to form the final preset change trend evaluation coefficient threshold interval. The above process is automatically executed at the software level through logical modules such as data sample processing, clustering analysis, and interval optimization, ensuring that the set threshold interval can accurately distinguish different degrees of valve core displacement direction change trends, and can be dynamically and adaptively fine-tuned according to the system's later operating data to continuously optimize the classification effect.

[0072] In this embodiment, the logic for obtaining the displacement direction fluctuation coefficient is as follows:

[0073] The valve core displacement fluctuation characteristic information is extracted from the pre-processed displacement trend evaluation information, specifically including the displacement change corresponding to each direction change of the valve core within the detection period, the absolute change of the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection period, and the absolute difference between the valve core feedback displacement value and the target opening displacement value at the end point of the detection period, and calibrated as 、 and , Indicates the valve core’s first The displacement change corresponding to the secondary direction change is, Indicates the absolute change in the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection cycle. Indicates the absolute difference between the valve core feedback displacement value and the target setting opening displacement value at the end of the detection cycle. , is a positive integer;

[0074] In the pneumatic solenoid valve control system, the real-time data monitoring and processing module can be set up to achieve real-time acquisition of the above three types of data based on software. Specifically, first, by continuously monitoring the data stream output by the valve core feedback displacement sensor, the system records the feedback displacement values ​​continuously collected during each detection cycle in real time. At the same time, after each sampling, the system identifies the displacement direction change event based on the magnitude relationship between the current feedback displacement value and the previous feedback displacement value. When a direction change is detected, the displacement change corresponding to this direction change is calculated, that is, the absolute difference between the feedback displacement values ​​between the two direction changes, thereby obtaining the "displacement change corresponding to each direction change of the valve core during the detection cycle." Second, by saving the initial feedback displacement value at the start of the detection cycle and the final feedback displacement value at the end of the detection cycle, the system calculates the absolute difference between the two in real time, that is, the "absolute change in the valve core feedback displacement value from the start to the end of the current detection cycle of the pneumatic solenoid valve." This data reflects the amplitude change of the valve core's overall movement trend during the cycle. Finally, at the end of the detection cycle, the system synchronously reads the current valve core feedback displacement value and the preset target opening displacement value. By calculating the absolute difference between the two, the system obtains the "absolute difference between the valve core feedback displacement value and the target opening displacement value at the end of the detection cycle," which is used to measure the degree of deviation between the current valve core state and the target command. During the entire data acquisition process, the software automatically extracts and synchronously updates all the above data within the detection cycle without human intervention by setting real-time acquisition triggers, direction change recognition algorithms, displacement differential calculation modules, and target offset comparison modules, providing accurate and continuous basic data support for subsequent trend evaluation.

[0075] Calculate the displacement direction fluctuation coefficient. The specific calculation formula is as follows:

[0076] Where, is the fluctuation coefficient in the displacement direction.

[0077] The above formula is used to calculate the displacement direction fluctuation coefficient in order to comprehensively measure the overall fluctuation intensity and the deviation from the target displacement change state when the valve core changes direction during the detection period. The numerator of the formula is calculated by taking the absolute value of the displacement change corresponding to each valve core direction change. , ensuring that no matter whether the displacement changes in the positive or negative direction, it can be uniformly accumulated to reflect the change amplitude; and the denominator part The net displacement of the valve core during the detection period is summed with the absolute value of the end point deviation from the target opening, and a dynamic normalization benchmark is constructed so that each single change They can be scaled according to the overall displacement change background, thus avoiding imbalance in evaluation results due to different working conditions; further introducing natural logarithm operation , which can amplify small fluctuations while compressing large fluctuations, preventing extreme values ​​from having too much impact on the overall evaluation results and improving the indicator's sensitivity to small trend changes; finally, all single calculation results are summed and divided by the total number of direction changes. , realizing normalized averaging processing, so that the displacement direction fluctuation coefficient can not only comprehensively reflect the overall fluctuation level of the valve core displacement change process, but also ensure the comparability and stability between different detection cycles, forming a sensitive and stable change trend evaluation indicator as a whole.

[0078] Displacement direction fluctuation coefficient The magnitude of directly reflects the degree of fluctuation in the spool displacement direction when repeated changes in the spool offset direction occur. A large displacement direction fluctuation coefficient indicates that the spool frequently experiences large directional changes during the detection period, and each change is highly proportional to the overall net displacement and target offset. This indicates that the spool's direction fluctuates dramatically during movement, tending to be irregular or abnormally disturbed, and exhibits a highly volatile change trend. Conversely, a small displacement direction fluctuation coefficient indicates that while the spool experiences certain directional changes during the detection period, each change is relatively small relative to the overall displacement background, and the overall movement is more stable and continuous, indicating a relatively stable displacement direction change trend. Therefore, the displacement direction fluctuation coefficient, as an evaluation indicator, can effectively distinguish whether the spool displacement direction change is normal convergent motion or exhibits abnormal, violent fluctuations, thereby providing a basis for the selection of subsequent dynamic adjustment measures.

[0079] In this embodiment, the logic for obtaining the displacement direction change density coefficient is as follows:

[0080] The valve core direction change density information is extracted from the pre-processed displacement trend evaluation information, specifically including the maximum single direction change displacement of the valve core within the detection period and the standard deviation of the displacement change corresponding to all single direction changes of the valve core, and calibrated as and , Indicates the maximum single directional displacement of the valve core within the detection cycle. Indicates the standard deviation of the displacement change corresponding to all single direction changes of the valve core within the detection period. , is a positive integer;

[0081] During the detection cycle, the real-time data monitoring module and direction change identification module installed in the pneumatic solenoid valve control system can be used to obtain the maximum single directional change displacement of the valve core and the standard deviation of the displacement changes corresponding to all single directional changes of the valve core in real time through software. The specific implementation method is as follows: First, the system continuously monitors the valve core feedback displacement data stream and automatically identifies whether the displacement direction has changed by comparing the changing trends of two consecutive feedback displacement values ​​after each data refresh. Once a direction change event is detected, the system immediately calculates the cumulative displacement change since the last direction change and records it as a single directional change displacement, forming a set of single directional change displacement data sequences throughout the detection cycle. Subsequently, during the current detection cycle, the system performs a real-time analysis of all recorded single-direction displacement changes, extracting the one with the largest absolute value as the "maximum single-direction displacement of the valve core" to reflect the most drastic single adjustment that occurred during the cycle. At the same time, based on this set of single-direction displacement data, the system calculates its standard deviation as the "standard deviation of the displacement changes corresponding to all single-direction changes of the valve core" to measure the consistency or fluctuation of the valve core adjustment amplitude in each directional change. The entire extraction and calculation process relies on the event trigger mechanism, data acquisition buffer, and statistical calculation module set within the software. Without external intervention, it can be updated in real time before the end of the detection cycle, ensuring the freshness of the data and the continuity of the analysis, thereby providing accurate and timely basic data support for subsequent trend assessments and dynamic adjustment strategies.

[0082] Calculate the displacement direction change density coefficient. The specific calculation formula is as follows:

[0083] Where, is the displacement direction variation coefficient, Indicates the absolute change in the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection cycle. It is the cumulative number of times the valve core displacement direction changes during the detection cycle.

[0084] The above formula is used to calculate the displacement direction change density coefficient in order to comprehensively evaluate the frequency of valve core displacement direction changes, the overall displacement change amplitude and the volatility of single changes during the detection cycle, so as to fully reflect the density and stability of the adjustment process. Indicates the cumulative number of times the valve core displacement direction changes within the detection cycle. The more times, the more frequent the direction changes and the more intensive the adjustment process. As a directly proportional factor; the denominator consists of three parts, first, Represents the change in the valve core's net displacement within a cycle, and is used to measure the overall adjustment range. The larger the net displacement, the more coherent the overall movement and the relatively weaker the density, so it serves as an inversely proportional factor. Secondly, It is the maximum single directional change displacement within the cycle, reflecting the extreme fluctuation in the adjustment process. The larger the maximum change, the more likely it is to undergo a drastic adjustment during the adjustment process, which will also reduce the stability of the overall density. Therefore, it is included in the denominator. The standard deviation of the displacement of a single directional change is used to measure the consistency of the amplitude of each directional change. The larger the standard deviation, the stronger the volatility of each adjustment and the more irregular the adjustment process. It also has a dilution effect on density, so it is also used as an inverse factor. 、 and The total adjusted background baseline is constructed by adding Instead of forming a ratio and then squaring the ratio, the difference in density changes is further amplified, making the high-density, low-stability regulation state more sensitive and easier to distinguish in the evaluation, thereby achieving accurate quantification and classification evaluation of the change trend of the valve core displacement direction.

[0085] Displacement direction variation coefficient The size of directly reflects the density and fluctuation characteristics of the valve core displacement direction change trend when the valve core offset direction repeatedly changes. When the value is large, it means that the valve core displacement direction changes more times during the detection period, while the overall net displacement change amplitude is small, and the fluctuation of the single change amplitude is small, indicating that the valve core shows frequent, coherent and relatively stable small changes during the adjustment process, which is a state of intensive change trend and normal convergence; when A small value indicates a low frequency of directional changes or a single adjustment with large, drastic fluctuations during the directional change. A large overall displacement change or a discrete distribution of adjustments indicates strong fluctuations in the valve core's movement, unstable control, and an abnormal trend or a risk of loss of control. Therefore, the magnitude of the displacement directional change coefficient can effectively distinguish whether the valve core's displacement directional change trend is converging and stable or exhibiting drastic fluctuations, providing a precise classification basis for subsequent dynamic adjustment strategies.

[0086] In this embodiment, the generated displacement direction fluctuation coefficient and displacement direction variation coefficient Construct a change trend assessment model and generate a change trend assessment coefficient through weighted summation. The specific calculation formula is as follows:

[0087] Where, is the change trend assessment coefficient, and The displacement direction fluctuation coefficients are and displacement direction variation coefficient The non-zero weight coefficient of .

[0088] In the pneumatic solenoid valve control system, the trend evaluation module can be set up to realize the change trend evaluation coefficient in software. The generation of displacement direction fluctuation coefficient and displacement direction variation coefficient After that, the system will calculate the trend according to the preset trend evaluation rules. and Assign non-zero weight coefficients respectively and ,in It is mainly used to reflect the impact of the fluctuation degree of displacement direction in the overall trend assessment. It is used to reflect the impact of the density of displacement direction changes in trend assessment, and the sum of the two is always 1 to keep the weight normalized. and The setting of depends on the specific goal of system adjustment. For example, when the system pays more attention to the influence of subtle jitter behavior on the adjustment accuracy, it can be appropriately increased. When the system pays more attention to the stability and consistency of the adjustment process, it can be appropriately increased. The system will collect the weight of and After multiplying by the corresponding weight coefficients, according to the weighted summation formula Perform real-time calculations to ultimately generate a trend evaluation coefficient that reflects the overall state of the valve core displacement direction change trend within the current detection cycle. , used for subsequent trend classification and adjustment strategy decision-making.

[0089] In this embodiment, the predetermined threshold interval of the change trend evaluation coefficient is determined. , and after determination, the generated trend evaluation coefficient Compare and evaluate the displacement trend of the valve core when the valve core offset direction repeatedly changes based on the comparison results. The specific comparison analysis is as follows:

[0090] like , when the valve core offset direction changes repeatedly, the displacement direction change trend of the valve core is a normal convergence trend;

[0091] This indicates that while the valve core's displacement direction changes somewhat during adjustment, the overall magnitude of these changes is small, the changes are dense and continuous, and the fluctuations are low. The overall motion process tends to be stable and gradually converges toward the target opening. This trend indicates that the pneumatic solenoid valve control system's current adjustment strategy and execution status are within a reasonable range, effectively completing the task of precise opening control. The system requires no additional intervention and can continue to use the current adjustment logic for subsequent adjustments, thus ensuring high system responsiveness and control accuracy, while reducing the risk of valve core fatigue and air source waste, and extending equipment life.

[0092] like When the valve core offset direction changes repeatedly, the displacement direction of the valve core shows a slight fluctuation trend;

[0093] This situation means that the displacement direction of the valve core has changed repeatedly to a certain extent during the adjustment process, and the overall trend is still to converge to the target opening, but slight fluctuations or disturbances have occurred in the local process. This trend usually originates from factors such as small-scale fluid disturbances, micro-fluctuations in air source pressure, or insufficient elastic response of local actuators, and has not yet caused substantial interference to the overall adjustment effect. If this trend is maintained, it may lead to a slight extension of the adjustment time and a slight increase in energy consumption, but the overall control effect is still within an acceptable range. Therefore, after identifying this trend, the pneumatic solenoid valve control system can appropriately optimize the current adjustment parameters, such as adjusting the fine-tuning step size or the feedback filter strength, to further improve the response stability and energy efficiency while ensuring control accuracy.

[0094] like When the valve core offset direction changes repeatedly, the displacement direction change trend of the valve core is an abnormal divergent trend.

[0095] This situation means that the displacement direction of the valve core fluctuates frequently and violently, with large single-time changes, irregular direction changes, and the overall motion state deviates from the target opening, with no obvious convergence trend. This trend usually indicates that there are serious abnormalities in the adjustment logic, execution feedback, or external environment of the pneumatic solenoid valve control system under the current working conditions, such as feedback error accumulation, control loop delay, severe airflow disturbance, or valve core mechanical abnormality. If intervention measures are not taken in time, the system may fall into a continuous invalid adjustment cycle, resulting in significant response delays, a significant increase in air source energy consumption, excessive wear of valve core components, and even in severe cases, the control system may fail. Therefore, when assessed as an abnormal divergent trend, the self-correction mechanism or fault protection logic should be triggered immediately, switching to fault-tolerant adjustment mode or terminating the adjustment task to ensure system safety and stability.

[0096] Based on the evaluation results, corresponding adjustment measures are implemented on the pneumatic solenoid valve control system;

[0097] In this embodiment, corresponding adjustment measures are respectively executed on the pneumatic solenoid valve control system according to the evaluation results, specifically:

[0098] If the evaluation result shows a normal convergence trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: maintain the current adjustment step size, feedback sampling frequency, and continuous instruction issuance rhythm, continue to execute the established adjustment action, and do not change the existing adjustment strategy;

[0099] In a pneumatic solenoid valve control system, when the evaluation result is a normal convergence trend, the established adjustment parameters can be maintained through the adjustment control module set inside the software. The specific implementation method includes: after the trend evaluation module outputs a normal convergence judgment signal, the system immediately freezes the parameter configuration of the current adjustment step, feedback sampling frequency and continuous instruction issuance rhythm, and does not trigger parameter adaptive update or dynamic adjustment strategy switching. At the same time, the frozen state is passed as a flag to the main control logic module to ensure that in the subsequent adjustment process, each fine-tuning instruction is issued according to the original set step amplitude, feedback sampling is continuously executed according to the established time interval or sampling frequency, and the scheduling rhythm of the continuous instruction also maintains the original rhythm control curve, without the need to introduce additional feedback suppression, filtering enhancement or instruction release mechanism. The fundamental purpose of doing this is to avoid unnecessary disturbances or over-adjustments caused by dynamic changes in parameters, under the premise that the current trend of the change in the direction of the valve core displacement has shown good convergence characteristics, to ensure the consistency and coherence of the adjustment link, so that the valve core can continue to approach the target opening at a predetermined stable speed and direction, thereby improving the certainty and energy efficiency of the overall control process, and at the same time reducing the risk of new uncertainties in the system adjustment process, laying a solid foundation for the ultimate accurate completion of the opening setting target.

[0100] If the assessment result indicates a slight fluctuation trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: adjusting the adjustment step size to a level smaller than the currently set step size, increasing the intensity of the feedback filtering process, and extending the interval between issuing fine-tuning commands to reduce the interference of displacement direction fluctuations on the opening control process;

[0101] In a pneumatic solenoid valve control system, when the evaluation result is a slight fluctuation trend, the adjustment strategy can be dynamically adjusted in software through the internal parameter adaptive adjustment module, specifically including: first, after receiving the judgment signal of a slight fluctuation trend, the system automatically calls the parameter adjustment interface and adjusts the current fine-tuning step size setting value to a level lower than the original setting step size, so that the opening change amplitude of the valve core each response is reduced, thereby reducing the amplification effect of small fluctuations; second, the system synchronously improves the intensity of feedback filtering processing, specifically by adjusting the internal filtering algorithm parameters, such as increasing the cutoff frequency of the low-pass filter or increasing the number of samples of the feedback data sliding window, so as to enhance the ability to suppress high-frequency disturbance components, thereby making the feedback signal smoother and more able to reflect the actual opening change trend; third, extend the interval between fine-tuning instructions, that is, by adjusting the trigger time strategy of the fine-tuning instruction queue in the instruction scheduling module, appropriately lengthen the time interval between consecutive instructions, and reduce the internal oscillation phenomenon of the adjustment link caused by excessive instruction density. Through the above method, without changing the overall adjustment target, the adjustment allergic reaction caused by local small fluctuations can be effectively slowed down, and the system can be prevented from misjudging small disturbances as large deviations, thereby ensuring that the valve core movement trajectory converges more stably towards the target opening, improving the continuity and control accuracy of the adjustment action, and reducing air source consumption and actuator fatigue.

[0102] If the evaluation result is an abnormal divergent trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: resetting the opening adjustment benchmark of the current detection cycle, reducing the frequency of issuing continuous opening adjustment instructions, enabling the protection mode that limits the adjustment step, and introducing a feedback abnormality detection mechanism to perform abnormal marking and adjustment interrupt processing on cycles with continuous direction changes, so as to suppress the trend of the valve core continuously deviating from the target position.

[0103] In the pneumatic solenoid valve control system, when the evaluation result is an abnormal divergence trend, the adjustment strategy can be dynamically adjusted through the abnormal protection processing module set in the software. The specific implementation methods include: first, after receiving the abnormal divergence trend judgment signal, the system immediately freezes the historical adjustment data in the current detection cycle, and sets the current position of the valve core as the new opening adjustment reference position, resetting the control reference starting point, so as to avoid the continuous use of the distorted target trajectory in the subsequent adjustment process; secondly, the system synchronously adjusts the instruction scheduling strategy, by reducing the frequency of issuing continuous opening adjustment instructions, lengthening the minimum interval between continuous fine-tuning instructions, and reducing the chain caused by excessive instructions. Repeated adjustment phenomenon, reduce system oscillation accumulation; at the same time, enable the protection mode of limiting the adjustment step, specifically by adding step threshold control logic in the instruction issuing module, limiting the single opening change instruction to a low amplitude range, and preventing the system from getting out of control due to excessive single adjustment amplitude; in addition, the system also needs to enable the feedback anomaly detection mechanism, that is, continuously counting the number and trend of repeated direction changes in each detection cycle. If the number of repeated direction changes exceeds the preset threshold in multiple consecutive cycles, the cycle will be marked as abnormal, and the adjustment interrupt operation will be triggered through the scheduling management module, suspending the subsequent adjustment instruction issuance process and switching to a protective waiting mode. The above measures are executed in coordination, which can timely interrupt the abnormal adjustment behavior when the system has a drastic divergence trend, re-establish the adjustment reference system, control the continuous disturbance expansion trend, and effectively suppress the position drift of the valve core that continuously deviates from the target opening, ensure the system restores controllability and operational safety, and prevent the pneumatic solenoid valve from malfunctioning or hardware damage due to the spread of abnormalities.

[0104] During the execution of the adjustment measures, the valve core displacement direction change information is continuously collected to identify the dynamic change state of the valve core displacement direction change trend, and the self-correction adjustment operation is performed based on the identified dynamic change state;

[0105] In a pneumatic solenoid valve control system, a continuous dynamic monitoring and self-correction module can be configured via software to identify and adjust the dynamic state of the valve spool displacement direction change trend during the execution of control measures. Specifically, during control measures, the system continuously collects valve spool displacement direction change feedback information in real time at a set frequency, forming a continuous data stream input. Then, the system uses a trend recognition algorithm module to analyze the direction change trend of the real-time data within each short sliding window, including counting the number of consecutive direction changes, the distribution characteristics of the change amplitude, and the overall net offset direction. Based on the trend analysis results, the system can identify the dynamic change state, such as whether the current valve spool movement exhibits a normal convergence trend, a slight fluctuation trend, or an abnormal divergence trend. If the dynamic change state deviates from the trend category corresponding to the initial execution strategy, the system automatically invokes the self-correction module and, based on the identified new dynamic change state, adapts different control parameter adjustment measures, such as re-reducing the step size, strengthening feedback filtering, adjusting the command issuance frequency, or triggering protective control mechanisms, to dynamically optimize control behavior. The entire process relies on real-time sampling, trend identification, state recognition and strategy adaptation logic set within the software, without the need for external human intervention, ensuring that system adjustments can adapt to changes during execution and maintain the dynamic rationality and responsiveness of the adjustment link.

[0106] The reason for continuously collecting feedback on valve spool displacement direction changes during the control process and performing self-correction adjustments based on dynamic changes is that pneumatic solenoid valves are subject to a variety of factors during actual operation, such as air source fluctuations, load variations, and fluid disturbances. This results in highly time-varying and dynamic motion. Even if optimal control measures based on trend assessment are initially implemented, the initially set control parameters may gradually deviate from the optimal control trajectory as the operating environment and system status change. Without dynamic trend recognition and self-correction capabilities during the control process, the system will be unable to promptly detect subtle changes in the valve spool displacement direction. This can lead to delayed, ineffective, or misdirected control actions, ultimately resulting in accumulated control errors, increased air source energy consumption, increased actuator fatigue, and even control instability. By identifying dynamic changes in real time during control and triggering self-correction adjustments at the right time, the limitations of static strategies can be effectively overcome, enabling the control system to dynamically adapt to environmental changes, ensuring that the valve spool always follows the optimal control trajectory. This significantly improves the accuracy, robustness, and overall system reliability of the control response, ensuring that the pneumatic solenoid valve can efficiently and stably complete precise opening control tasks under complex actual operating conditions.

[0107] During the execution of adjustment measures and self-correction adjustment operations, the valve core feedback displacement direction change information is continuously monitored, and the adjustment strategy of the pneumatic solenoid valve control system is dynamically adjusted according to the continuously monitored change trend to optimize the overall adjustment effect.

[0108] In a pneumatic solenoid valve control system, a dynamic monitoring and strategy adaptation module can be implemented in software to continuously monitor valve spool displacement direction change feedback information and dynamically adjust the control strategy based on the change trend. Specifically, during control measures and self-correction operations, the system continuously collects valve spool displacement direction change information in real time at a fixed sampling frequency. Using a built-in trend analysis engine, the collected data is processed through a continuous sliding window to dynamically extract characteristic indicators such as direction change density, displacement fluctuation amplitude, and net displacement trend. Based on these characteristic indicators, the system determines the overall evolution trend of the current valve spool displacement direction change in real time, such as trend convergence, trend slowdown, and trend divergence. Based on the determination results, the system automatically calls the control strategy adaptation module to dynamically adjust control strategy parameters, including fine-tuning step size, optimizing feedback filter strength, modifying continuous command cadence, switching to protective step size mode, or triggering the control recovery mechanism. The entire process is automated through pre-set trend change determination rules and strategy switching logic. The system achieves continuous monitoring, adaptive identification, and strategy adjustment during control execution without manual intervention, ensuring that the control chain always delivers the optimal dynamic response to real-time operating conditions.

[0109] The reason for continuously monitoring the spool's feedback displacement direction during control measures and self-correction operations and dynamically adjusting the control strategy based on these trends is that pneumatic solenoid valves are highly dynamic and subject to uncertainty in actual operation. Even after initial adjustments or self-correction, the system state can rapidly evolve due to factors such as environmental disturbances, load changes, and air source fluctuations. Without a mechanism for continuous monitoring and dynamic strategy adjustment, the system can only use previously set static parameters for regulation, unable to respond in real time to small deviations in the spool's displacement trend, increased fluctuations, or convergence stalls. This can lead to delayed control response, decreased control accuracy, and even a return to an ineffective control cycle. By continuously monitoring the change trend and dynamically adjusting the control strategy based on the trend evolution, subtle changes in the spool's motion state can be captured in real time and controlled with control parameters more appropriate to the current operating conditions. This ensures that the spool continues to move toward the target opening position along the optimal path under various complex dynamic environments. This significantly improves the system's robustness, adaptability, and overall control efficiency, effectively reduces energy consumption and actuator fatigue, and ultimately significantly enhances the overall performance and service life of the pneumatic solenoid valve control system.

[0110] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0111] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present application are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means (e.g., infrared, wireless, microwave, etc.). A computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0112] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0113] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0114] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0115] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0116] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0117] The above are only specific embodiments of the present application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An intelligent adjustment method for a pneumatic solenoid valve control system, characterized in that: The specific steps include: During the period when the pneumatic solenoid valve executes the continuous opening adjustment command issued by the pneumatic solenoid valve control system, the valve core feedback displacement direction change information is collected in real time, and the command processing sequence and feedback collection process are optimized through command aggregation and feedback release; Based on the collected information about the change in the displacement direction of the valve core feedback, determine whether the valve core offset direction repeatedly changes; When it is determined that the valve core offset direction repeatedly changes, displacement trend assessment information is acquired in real time, and analyzed after acquisition to assess the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes; Based on the evaluation results, corresponding adjustment measures are implemented on the pneumatic solenoid valve control system; During the execution of the adjustment measures, the valve core displacement direction change information is continuously collected to identify the dynamic change state of the valve core displacement direction change trend, and the self-correction adjustment operation is performed based on the identified dynamic change state; During the execution of adjustment measures and self-correction adjustment operations, the valve core feedback displacement direction change information is continuously monitored, and the adjustment strategy of the pneumatic solenoid valve control system is dynamically adjusted according to the continuously monitored change trend.

2. The intelligent adjustment method of the pneumatic solenoid valve control system according to claim 1 is characterized in that: Based on the collected information about the displacement direction change of the valve core feedback, it is determined whether the valve core offset direction repeatedly changes. Specifically, the following steps are included: Based on the collected valve core feedback displacement direction change information, a displacement direction change sequence arranged in chronological order is generated; Extract the number of consecutive direction changes in the displacement direction change sequence within a preset detection time window; The extracted number of continuous direction changes is compared with a preset direction change number threshold, and whether the phenomenon of repeated changes in the valve core offset direction occurs is determined based on the comparison result. Specifically: if the extracted number of continuous direction changes exceeds the preset direction change number threshold, it is determined that the phenomenon of repeated changes in the valve core offset direction occurs; otherwise, it is determined that the phenomenon of repeated changes in the valve core offset direction does not occur.

3. The intelligent adjustment method of the pneumatic solenoid valve control system according to claim 2 is characterized in that: When it is determined that the valve core offset direction repeatedly changes, displacement trend assessment information is acquired in real time and analyzed after acquisition to assess the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes. Specifically, the following steps are included: When it is determined that the valve core offset direction changes repeatedly, the displacement trend assessment information is obtained in real time and pre-processed after acquisition; Extracting the valve core displacement fluctuation characteristic information and the valve core direction change density information from the pre-processed displacement trend assessment information, and analyzing them after extraction to generate the displacement direction fluctuation coefficient and the displacement direction change density coefficient respectively; A change trend assessment model is constructed for the generated displacement direction fluctuation coefficient and displacement direction change intensive coefficient, and a change trend assessment coefficient is generated through weighted summation; Determine a preset change trend assessment coefficient threshold interval, and compare it with the generated change trend assessment coefficient after determination, and evaluate the displacement direction change trend of the valve core when the valve core offset direction repeatedly changes according to the comparison result.

4. The intelligent adjustment method of the pneumatic solenoid valve control system according to claim 3 is characterized in that: The logic for obtaining the displacement direction fluctuation coefficient is as follows: The valve core displacement fluctuation characteristic information is extracted from the pre-processed displacement trend evaluation information, specifically including the displacement change corresponding to each direction change of the valve core within the detection period, the absolute change of the valve core feedback displacement value of the pneumatic solenoid valve from the starting point to the end point of the current detection period, and the absolute difference between the valve core feedback displacement value and the target opening displacement value at the end point of the detection period, and calibrated as 、 and , , is a positive integer, The cumulative number of times the valve core displacement direction changes during the detection cycle; Calculate the displacement direction fluctuation coefficient. The specific calculation formula is as follows: Where, is the fluctuation coefficient in the displacement direction.

5. The intelligent adjustment method of the pneumatic solenoid valve control system according to claim 4 is characterized in that: The logic for obtaining the displacement direction change density coefficient is as follows: The valve core direction change density information is extracted from the pre-processed displacement trend evaluation information, specifically including the maximum single direction change displacement of the valve core within the detection period and the standard deviation of the displacement change corresponding to all single direction changes of the valve core, and calibrated as and ; Calculate the displacement direction change density coefficient. The specific calculation formula is as follows: Where, is the displacement direction variation coefficient.

6. The intelligent adjustment method of the pneumatic solenoid valve control system according to claim 5, characterized in that: The generated displacement direction fluctuation coefficient and displacement direction variation coefficient Construct a change trend assessment model and generate a change trend assessment coefficient through weighted summation. The specific calculation formula is as follows: Where, is the change trend assessment coefficient, and The displacement direction fluctuation coefficients are and displacement direction variation coefficient The non-zero weight coefficient of .

7. The intelligent adjustment method of the pneumatic solenoid valve control system according to claim 6, characterized in that: Determine the preset threshold interval of the change trend assessment coefficient , and after determination, the generated trend evaluation coefficient Compare and evaluate the displacement trend of the valve core when the valve core offset direction repeatedly changes based on the comparison results. The specific comparison analysis is as follows: like , when the valve core offset direction changes repeatedly, the displacement direction change trend of the valve core is a normal convergence trend; like When the valve core offset direction changes repeatedly, the displacement direction of the valve core shows a slight fluctuation trend; like When the valve core offset direction changes repeatedly, the displacement direction change trend of the valve core is an abnormal divergent trend.

8. The intelligent adjustment method for a pneumatic solenoid valve control system according to claim 7, characterized in that: According to the evaluation results, corresponding adjustment measures are implemented for the pneumatic solenoid valve control system, specifically: If the evaluation result shows a normal convergence trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: maintain the current adjustment step size, feedback sampling frequency, and continuous instruction issuance rhythm, continue to execute the established adjustment action, and do not change the existing adjustment strategy; If the assessment result indicates a slight fluctuation trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: adjusting the adjustment step size to a level smaller than the currently set step size, increasing the intensity of the feedback filtering process, and extending the interval between issuing fine-tuning commands to reduce the interference of displacement direction fluctuations on the opening control process; If the evaluation result is an abnormal divergent trend, the specific adjustment measures implemented on the pneumatic solenoid valve control system are: resetting the opening adjustment benchmark of the current detection cycle, reducing the frequency of issuing continuous opening adjustment instructions, enabling the protection mode that limits the adjustment step, and introducing a feedback abnormality detection mechanism to perform abnormal marking and adjustment interrupt processing on cycles with continuous direction changes, so as to suppress the trend of the valve core continuously deviating from the target position.

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