Bidirectional spring pressure balance detection method and system

Abstract

The invention discloses a bidirectional spring pressure balance detection method and system, and relates to the technical field of balance testing, and the method comprises the steps: obtaining a bidirectional spring pressure test table, and deploying a bidirectional spring test device; controlling the bidirectional loading mechanism to acquire a spring loading test data flow through the sensor array according to the bidirectional spring pressure test meter; testing for multiple times to obtain a spring pressure balance detection data set; and performing multi-dimensional evaluation on the spring pressure balance detection data set based on a spring balance performance evaluation standard, and determining a bidirectional spring pressure balance performance detection result. The technical problems that the performance of the two-way spring in the two-way stress state cannot be comprehensively evaluated and the pressure balance performance detection precision is insufficient due to the fact that the pressure change of the two-way spring in the forward and reverse loading process is difficult to accurately monitor in real time in the existing spring pressure balance detection process are solved. The technical effect of improving the accuracy and reliability of the detection result of the pressure balance performance of the bidirectional spring is achieved.

Description

Technical Field

[0001] This application relates to the technical field of balance testing, and particularly relates to a method and system for detecting the pressure balance of a bi-directional spring. Background Art

[0002] In the field of mechanical design and manufacturing, as a key basic component, the performance stability and reliability of a spring are directly related to the operating efficiency and safety of the entire system. With the continuous progress of industrial technology, especially in industries with high-precision requirements such as precision instruments, aerospace, and automotive manufacturing, stricter standards have been put forward for the performance detection of springs. Among them, bi-directional springs are widely used in various complex mechanical systems because they can provide stable elastic forces in two opposite directions. However, during long-term use, due to the influence of various factors such as the external environment, material fatigue, and manufacturing processes, the pressure balance performance of bi-directional springs may gradually decline, thereby affecting the stability and safety of the entire system. Most traditional spring pressure detection methods focus on single-direction loading and testing, making it difficult to achieve real-time monitoring of the pressure changes of bi-directional springs during forward and reverse loading, and it is difficult to comprehensively and accurately evaluate the performance of bi-directional springs under bi-directional stress conditions.

[0003] Therefore, in the current related technologies for detecting the pressure balance of bi-directional springs, there are technical problems such as difficulty in real-time and accurate monitoring of the pressure changes of bi-directional springs during forward and reverse loading, resulting in inability to comprehensively evaluate the performance of bi-directional springs under bi-directional stress conditions and insufficient detection accuracy of pressure balance performance. Summary of the Invention

[0004] By providing a method and system for detecting the pressure balance of a bi-directional spring, this application uses technical means such as an integrated test device, a high-precision sensor array, and advanced data processing and analysis technologies to solve the technical problems existing in the existing spring pressure balance detection, such as difficulty in real-time and accurate monitoring of the pressure changes of bi-directional springs during forward and reverse loading, resulting in inability to comprehensively evaluate the performance of bi-directional springs under bi-directional stress conditions and insufficient detection accuracy of pressure balance performance, and achieves the technical effect of improving the accuracy and reliability of the detection results of the pressure balance performance of bi-directional springs.

[0005] The present application provides a method for detecting the pressure balance of a bi-directional spring. The method includes: analyzing the test requirements of the target bi-directional spring to obtain a bi-directional spring pressure test table, and deploying a bi-directional spring test device. The bi-directional spring test device includes a bi-directional loading mechanism, a spring fixing mechanism, and a sensor array. Among them, the sensor array includes a pressure sensor and a displacement sensor; fixing the target bi-directional spring through the spring fixing mechanism, controlling the bi-directional loading mechanism to load the target bi-directional spring according to the bi-directional spring pressure test table, and simultaneously collecting and obtaining a spring loading test data stream through the sensor array; performing standardized preprocessing on the spring loading test data stream to obtain a spring loading test standard data stream, adjusting the loading pressure balance based on the spring loading test standard data stream to obtain a loading balance pressure parameter, and performing multiple tests based on the loading balance pressure parameter to obtain a spring pressure balance detection data set; obtaining a spring balance performance evaluation standard, and performing multi-dimensional evaluation on the spring pressure balance detection data set based on the spring balance performance evaluation standard to determine the detection result of the bi-directional spring pressure balance performance.

[0006] In an implementation manner of the present application, when obtaining the bi-directional spring pressure test table, the following processing is further performed: analyzing the test requirements of the target bi-directional spring to obtain spring test requirement parameters, where the spring test requirement parameters include a maximum pressure range, a precision requirement, and a spring specification; analyzing test elements according to the bi-directional spring test process to determine test table element information; configuring test parameters for the test table element information based on the spring test requirement parameters to obtain a set of spring test element parameters; and obtaining the bi-directional spring pressure test table according to the test table element information and the set of spring test element parameters.

[0007] In an implementation manner of the present application, when obtaining the spring loading test standard data stream, the following processing is further performed: obtaining data anomaly factor information, where the data anomaly factor information includes out-of-range data, missing values, and inconsistent data; performing anomaly identification on the spring loading test data stream based on the data anomaly factor information to obtain anomaly loading test data; analyzing preprocessing steps for the data anomaly factor information respectively to obtain a set of anomaly factor data preprocessing programs; and performing standardized preprocessing on the anomaly loading test data based on the set of anomaly factor data preprocessing programs to obtain the spring loading test standard data stream.

[0008] In the implementation mode of this application, a two-way spring pressure balance detection method further performs the following processes: calibrate the two-way spring pressure balance detection with a gold machine to obtain a calibrated detection device; use the two-way spring test device and the calibrated detection device to measure the target two-way spring multiple times to obtain spring debugging detection data and standard spring detection data; perform calibration verification on the spring debugging detection data based on the standard spring detection data to determine the influence factor of the calibration accuracy of the test pile; perform influence correction on the spring loading test standard data stream based on the influence factor of the calibration accuracy of the test pile.

[0009] In the implementation mode of this application, when obtaining the load balance pressure parameter, the following processes are further performed: perform state extraction and recognition on the spring loading test standard data stream to obtain the current spring state parameter information; obtain the target balance state, analyze the load force adjustment strategy for the difference between the current spring state parameter information and the target balance state to determine the spring load force adjustment deviation; calculate the spring load force adjustment deviation based on a PID controller to obtain the parameter proportional term, parameter integral term, and parameter differential term; perform weighted fusion conversion on the parameter proportional term, parameter integral term, and parameter differential term to obtain the load balance pressure parameter.

[0010] In the implementation mode of this application, when obtaining the target balance state, the following processes are further performed: arrange and integrate the spring loading test standard data stream according to the time series to obtain the spring loading test sequence data stream; perform a fitting on the state change trend of the spring loading test sequence data stream to obtain the spring state change trend curve; perform curvature analysis on the spring state change trend curve to obtain the spring state curvature change information; perform division and prediction on the spring loading test standard data stream based on the spring state curvature change information to obtain the target balance state.

[0011] In the implementation mode of this application, when determining the detection result of the two-way spring pressure balance performance, the following processes are further performed: extract the evaluation indexes from the spring balance performance evaluation standard to obtain the balance performance evaluation index set, and the balance performance evaluation index set includes deformation consistency, resilience stability, and performance durability; perform multi-dimensional evaluation on the spring pressure balance detection data set based on the deformation consistency, resilience stability, and performance durability to obtain the consistency parameter, stability parameter, and durability parameter; perform performance weighted measurement on the consistency parameter, stability parameter, and durability parameter to obtain the spring pressure balance performance coefficient; determine the detection result of the two-way spring pressure balance performance based on the consistency parameter, stability parameter, durability parameter, and the spring pressure balance performance coefficient.

[0012] The present application also provides a two-way spring pressure balance detection system, including: a two-way spring test device deployment module, which is used to analyze the test requirements of a target two-way spring, obtain a two-way spring pressure test table, and deploy a two-way spring test device. The two-way spring test device includes a two-way loading mechanism, a spring fixing mechanism, and a sensor array. Among them, the sensor array includes a pressure sensor and a displacement sensor; a spring loading test data stream acquisition module, which is used to fix the target two-way spring through the spring fixing mechanism, control the two-way loading mechanism to load the target two-way spring according to the two-way spring pressure test table, and simultaneously collect and obtain a spring loading test data stream through the sensor array; a spring pressure balance detection data set acquisition module, which is used to perform standardized preprocessing on the spring loading test data stream, obtain a spring loading test standard data stream, perform loading pressure balance adjustment based on the spring loading test standard data stream to obtain a loading balance pressure parameter, and perform multiple tests based on the loading balance pressure parameter to obtain a spring pressure balance detection data set; a balance performance detection result determination module, which is used to obtain a spring balance performance evaluation standard, perform multi-dimensional evaluation on the spring pressure balance detection data set based on the spring balance performance evaluation standard, and determine the two-way spring pressure balance performance detection result.

[0013] It is intended to obtain a two-way spring pressure test table and deploy a two-way spring test device through a two-way spring pressure balance detection method and system proposed in the present application; control the two-way loading mechanism to collect and obtain a spring loading test data stream through the sensor array according to the two-way spring pressure test table; perform multiple tests to obtain a spring pressure balance detection data set; perform multi-dimensional evaluation on the spring pressure balance detection data set based on the spring balance performance evaluation standard, and determine the two-way spring pressure balance performance detection result. This solves the technical problem that existing spring pressure balance detection is difficult to monitor the pressure changes of two-way springs in the forward and reverse loading processes in real time and accurately, resulting in the inability to comprehensively evaluate the performance of two-way springs under two-way stress states and insufficient accuracy of pressure balance performance detection, and achieves the technical effect of improving the accuracy and reliability of the two-way spring pressure balance performance detection result. Description of the Drawings

[0014] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations described above or below do not necessarily need to be executed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more steps can be removed from these processes.

[0015] Figure 1 Schematic flow diagram of a two-way spring pressure balance detection method provided by an embodiment of the present application;

[0016] Figure 2 Schematic structural diagram of a two-way spring pressure balance detection system provided by an embodiment of the present application.

[0017] Explanation of reference numerals: Two-way spring test device deployment module 10, spring loading test data stream acquisition module 20, spring pressure balance detection data set acquisition module 30, balance performance detection result determination module 40. Detailed implementation manners

[0018] The above description is only an overview of the technical solutions of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0020] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application.

[0021] An embodiment of this application provides a two-way spring pressure balance detection method, as Figure 1 shown, the method includes:

[0022] Step S100: Conduct a test requirement analysis on the target bi-directional spring, obtain a bi-directional spring pressure test table, and deploy a bi-directional spring test device. The bi-directional spring test device includes a bi-directional loading mechanism, a spring fixing mechanism, and a sensor array. Among them, the sensor array includes a pressure sensor and a displacement sensor. A bi-directional spring is a spring that can work in two directions, that is, it can work in both compression and tension states. Conducting a test requirement analysis on the target bi-directional spring mainly refers to evaluating the performance of the bi-directional spring under bi-directional (i.e., tension and compression) force. Specifically, it evaluates the mechanical properties of the bi-directional spring in both tension and compression states, including the maximum bearing capacity, elastic modulus, fatigue life, etc. During the test, it is necessary to ensure the accuracy and repeatability of the measurement results to meet the requirements of product design and quality control. Then, obtain the bi-directional spring pressure test table. The bi-directional spring pressure test table is a table for recording and analyzing various performance parameters of the bi-directional spring during the test, which may include but are not limited to test numbers (used to distinguish different test batches or samples), sample information (such as the model, specification, material, etc. of the spring), test conditions (including loading speed, loading direction (tension / compression), test temperature, etc.), test data (including displacement, pressure value, elastic modulus, etc. under different loading forces), etc. Then, deploy the bi-directional spring test device, including a bi-directional loading mechanism, a spring fixing mechanism, and a sensor array. Specifically, the bi-directional loading mechanism is used to apply tensile and compressive forces to the bi-directional spring. Usually, it adopts an electric or hydraulic drive method and realizes the bi-directional application of force through a precise transmission mechanism to ensure the accuracy and stability of the loading mechanism; the spring fixing mechanism is used to fix the bi-directional spring to be tested to ensure its stable position during the test. For example, mechanical devices such as clamps and chucks are used to fix both ends of the spring, considering factors such as the shape, size, and material of the spring to ensure firm fixation without generating additional stress on the spring; the sensor array includes a pressure sensor and a displacement sensor. The pressure sensor is used to measure the pressure value of the spring when it is subjected to tensile or compressive force and record the force condition of the spring in real time; the displacement sensor is used to measure the deformation amount (i.e., displacement) of the spring during the force application process and provide important information about performance parameters such as the elastic modulus of the spring. The sensors should be arranged at positions that can accurately reflect the force condition of the spring, such as both ends of the spring or key deformation points.

[0023] In a possible implementation, step S100 further includes step S110 of analyzing the test requirements for the target bi-directional spring to obtain spring test requirement parameters, where the spring test requirement parameters include the maximum pressure range, accuracy requirements, and spring specifications. Analyzing the test requirements for the target bi-directional spring to clarify the purpose and specific requirements of the test, and obtaining the spring test requirement parameters, including the maximum pressure range, accuracy requirements, and spring specifications. Specifically, the maximum pressure range refers to the maximum pressure value that the spring needs to withstand during the test. During the test, it is necessary to ensure that the loading device can accurately apply the pressure within this range and observe the response of the spring; the accuracy requirements refer to the accuracy and reliability level of the test results, including the accuracy of the measuring device, the accuracy of the test method, and the fineness of data processing. In different application scenarios, the accuracy requirements for spring performance may vary. For example, springs used in precision instruments may require higher accuracy requirements; the spring specifications refer to the basic information such as the physical dimensions, material properties, and type of the spring, which are crucial for formulating the test plan and configuring the test parameters. For example, springs of different sizes may require different fixtures for fixation; springs of different materials may have different sensitivities to environmental factors such as temperature and humidity; different types of springs (such as compression springs, extension springs, torsion springs, etc.) may require different loading methods and measurement methods during the test.

[0024] It further includes step S120 of analyzing the test elements according to the bi-directional spring test process to determine the test table element information. The test process of the bi-directional spring usually includes a preparation stage, a test execution stage, and a data analysis stage. In the preparation stage, it is necessary to prepare the test equipment, calibrate the instruments, formulate the test plan, etc.; in the test execution stage, load, measure, and record the spring according to the test plan; in the data analysis stage, process and analyze the test data to draw a test conclusion; the test table element information refers to the key factors in the test table that affect the test results, such as spring pressure, the elongation or compression amount of the spring, and the real-time value of the loading force.

[0025] It further includes step S130 of configuring test parameters for the test table element information based on the spring test requirement parameters to obtain a set of spring test element parameters. The various parameters in the test table are set and adjusted according to the spring test requirement parameters (such as the maximum pressure range, precision requirements, and spring specifications) to obtain a set of spring test element parameters, so as to accurately record and analyze relevant data during the test. For example, according to the maximum pressure range, the loading range of the test equipment is set, and the appropriate loading method and loading rate are selected. According to the test requirements, the physical quantities to be measured (such as pressure, displacement, deformation amount, etc.), measurement precision, unit, and range are determined. According to the test requirements, the temperature, humidity, and other conditions of the test environment are set, and corresponding control measures are taken. The methods for data processing and analysis are determined, including data recording format, data processing software, data analysis algorithms, etc., to obtain a set of all key test parameters, that is, the set of spring test element parameters. It further includes step S140 of obtaining the bidirectional spring pressure test table according to the test table element information and the set of spring test element parameters. Based on the test table element information and the set of spring test element parameters, a pressure test is performed on the target bidirectional spring to obtain the bidirectional spring pressure test table, which details all the key information, parameter settings, test steps, data recording format, and data analysis methods required for the pressure test of a specific bidirectional spring, ensuring the traceability, repeatability, and accuracy of the test process.

[0026] Step S200: Fix the target bidirectional spring through the spring fixing mechanism, control the bidirectional loading mechanism to load the target bidirectional spring according to the bidirectional spring pressure test table, and simultaneously collect and obtain the spring loading test data stream through the sensor array. The target bidirectional spring is fixed through the spring fixing mechanism, for example, using specific fixtures, chucks, or other mechanical devices to ensure the stable position of the target bidirectional spring during the test. Control the bidirectional loading mechanism to perform bidirectional loading of stretching and compressing the target spring according to the settings in the bidirectional spring pressure test table, that is, use electric or hydraulic drive to make the bidirectional loading mechanism accurately control the magnitude, direction, and speed of the loading force to ensure the accuracy and repeatability of the test results. During the loading process, the sensor array real-time collects the spring loading test data, including but not limited to performance parameters such as the pressure value, displacement amount, and possible elastic modulus of the spring under different loading forces. These test data form the spring loading test data stream.

[0027] Step S300: Perform standardized preprocessing on the spring loading test data stream to obtain a standard spring loading test data stream. Based on the standard spring loading test data stream, perform load pressure balance adjustment to obtain load balance pressure parameters, and based on the load balance pressure parameters, conduct multiple tests to obtain a spring pressure balance detection data set. Standardized preprocessing of the spring loading test data stream refers to performing data cleaning, data conversion, data standardization, etc. on the collected original loading test data stream (which may include noise, data with different dimensions, etc.) to obtain a standard spring loading test data stream for subsequent analysis and processing. Specifically, remove noise, outliers, etc. from the spring loading test data stream to ensure the accuracy and reliability of the data. Convert data with different dimensions (such as pressure, displacement, etc.) to a unified unit or range, and then use specific standardization methods (such as Z-score standardization, min-max standardization, etc.) to convert the data into a specific statistical distribution range to reduce the impact of the dimensional difference between different features on subsequent analysis. Load pressure balance adjustment aims to make the spring maintain a stable pressure balance state during the loading process by adjusting the loading conditions or loading methods, so as to more accurately evaluate its performance. Specifically, it includes in-depth analysis of the standard data stream to identify possible pressure imbalance phenomena during the loading process (such as pressure fluctuations, pressure mutations, etc.). According to the analysis results, adjust the control parameters of the loading mechanism (such as loading speed, loading force magnitude, etc.) to eliminate or reduce the pressure imbalance phenomenon. By performing the loading test again and collecting data, verify whether the adjusted loading conditions can achieve a stable pressure balance state, and obtain a set of load balance pressure parameters that can reflect the performance of the spring in a stable pressure balance state. Then, based on the load balance pressure parameters, conduct multiple tests, that is, conduct multiple tests to obtain a more comprehensive spring pressure balance detection data set. For example, set multiple test schemes according to the load balance pressure parameters, including different loading conditions, loading sequences, etc. Perform multiple loading tests according to the test schemes and collect the corresponding data streams. Organize and analyze the data streams obtained from multiple tests to form a spring pressure balance detection data set.

[0028] In a possible implementation manner, step S300 further includes step S310: Obtain data anomaly factor information, where the data anomaly factor information includes out-of-range data, missing values, and inconsistent data. The data anomaly factor information is obtained through data cleaning and verification, including checking for out-of-range data (i.e., data values that exceed the normal physical or logical range) in the data, missing values (unknown or undefined values in the data set), and inconsistent data (data that is contradictory or does not conform to predefined rules in the data set).

[0029] It further includes step S320 of performing anomaly identification on the spring load test data stream based on the data anomaly factor information to obtain abnormal load test data. During the process of processing and analyzing the spring load test data, through specific methods (such as using statistics like mean, standard deviation, median, etc. to set the threshold for outliers, and data points exceeding the threshold are regarded as abnormal; clustering data points into multiple clusters, and data points that do not belong to any cluster or only belong to small clusters are regarded as abnormal, etc.), data points that do not conform to the normal data pattern or exhibit abnormal characteristics are detected and identified. These abnormal data points may be caused by various factors, including but not limited to measurement errors, equipment failures, data entry errors, data loss, or data tampering, etc., to obtain abnormal load test data.

[0030] It further includes step S330 of respectively performing preprocessing step analysis on the data anomaly factor information to obtain a set of anomaly factor data preprocessing programs. For out-of-range data, it is deleted, corrected, or replaced according to specific situations. For example, if the out-of-range data is caused by measurement errors or equipment failures, these data points are deleted; missing values can be processed in various ways, including deleting records containing missing values, filling in missing values using interpolation methods (such as mean interpolation, median interpolation, regression interpolation, etc.), or using specialized missing value processing algorithms; if data inconsistency is caused by data input errors or data conversion errors, it is corrected; thus, a set of anomaly factor data preprocessing programs is obtained.

[0031] It further includes step S340 of performing standardized preprocessing on the abnormal load test data based on the set of anomaly factor data preprocessing programs to obtain the spring load test standard data stream. Performing standardized preprocessing on the abnormal load test data means converting the abnormal load test data into a data stream with a unified format and range to obtain the spring load test standard data stream for subsequent data analysis and modeling.

[0032] In a possible implementation manner, step S340 further includes step S341 of performing golden machine calibration on the two-way spring pressure balance detection to obtain a calibrated detection device. Golden machine calibration generally refers to using high-precision standard devices or methods to calibrate and verify the detection device to ensure the accuracy and reliability of its measurement results. In the two-way spring pressure balance detection, golden machine calibration refers to using calibrated standard springs or pressure sensors and other calibrated detection devices to calibrate the two-way spring test device, including steps such as setting calibration parameters, applying standard pressure, recording measurement data, and calculating errors.

[0033] It also includes step S342 of using the bidirectional spring testing device and the calibration detection equipment to measure the target bidirectional spring multiple times to obtain spring debugging detection data and standard spring detection data. After calibration, use the calibrated bidirectional spring testing device and calibration detection equipment to measure the target bidirectional spring multiple times. Record key data such as the loading force and spring deformation during each measurement. Then select a strictly calibrated calibration detection equipment to ensure its high precision and high stability, measure a standard spring with known parameters, and record its key parameter data to obtain spring debugging detection data and standard spring detection data. Among them, the spring debugging detection data refers to the data obtained by measuring the target bidirectional spring multiple times through the bidirectional spring testing device, including key parameters such as the loading force and spring deformation, which reflects the performance of the target spring under different loading conditions; the standard spring detection data refers to the data obtained by measuring the standard spring through the calibration detection equipment, which is used to verify the measurement accuracy and reliability of the bidirectional spring testing device.

[0034] It also includes step S343 of calibrating and verifying the spring debugging detection data based on the standard spring detection data to determine the influencing factor of the calibration accuracy of the test pile. The purpose of calibration verification is to evaluate the measurement accuracy and reliability of the bidirectional spring testing device by comparing the standard spring detection data with the spring debugging detection data. Specifically, compare the standard spring detection data with the spring debugging detection data, analyze the differences between the two, and evaluate whether the differences are within an acceptable range. If the differences are within the acceptable range, it is considered that the calibration accuracy of the testing device meets the requirements and can be used for subsequent spring measurement work. If the differences exceed the acceptable range, further analyze the reasons, which may be problems with the testing device itself (such as insufficient sensor accuracy, loose mechanical structure, etc.), or external interference during the measurement process (such as temperature fluctuations, vibrations, etc.); when analyzing the calibration accuracy, identify and determine various factors affecting the calibration accuracy of the test pile, such as the accuracy limitations of the equipment itself, changes in environmental conditions (such as temperature, humidity), the skill level of the operator, and the rationality of the measurement method.

[0035] It also includes step S344 of correcting the influence on the spring loading test standard data stream based on the influencing factor of the calibration accuracy of the test pile. Based on the influencing factor of the calibration accuracy of the test pile, correct the influence on the spring loading test standard data stream. For example, according to the accuracy influencing factor determined during calibration, calibrate the test data and adjust the original data to eliminate or reduce the influence of the calibration accuracy of the test pile on the test results; for errors that cannot be completely eliminated, use the method of error compensation to improve the accuracy of the test results; during the data processing process, adopt filtering technology to reduce the influence of noise and interference on the test results.

[0036] In a possible implementation, step S300 further includes step S350 of extracting and identifying the state of the spring-loaded test standard data stream to obtain the current spring state parameter information. From the standard data stream generated during the spring-loaded test, key parameter information that can reflect the current state of the spring is extracted. Specifically, parameters such as the loading force and deformation of the spring are monitored in real time through sensors (such as force sensors, displacement sensors, etc.), and these parameters are converted into electrical signals or digital signals to form a data stream. Subsequently, data processing algorithms (such as filtering, denoising, etc.) are used to process the data stream to extract accurate spring state parameter information.

[0037] It further includes step S360 of obtaining the target equilibrium state, analyzing the loading force adjustment strategy for the difference between the current spring state parameter information and the target equilibrium state, and determining the spring loading force adjustment deviation. According to the test requirements, the target equilibrium state is obtained through simulation or experimental verification, etc., which describes the ideal state that the spring should reach during the loading process. After determining the target equilibrium state, it is converted into specific numerical indicators, such as the target loading force, target deformation, etc. Then, the current spring state parameter information is compared with the target equilibrium state, and the difference between the two is calculated, which reflects the deviation between the current spring state and the target state. According to the magnitude and direction of the difference, a loading force adjustment strategy is formulated. For example, if the difference is large, the loading force may need to be increased or decreased; if the difference is small, only fine-tuning is required.

[0038] It further includes step S370 of calculating the spring loading force adjustment deviation based on a PID controller to obtain the parameter proportional term, parameter integral term, and parameter differential term. The PID controller is a commonly used closed-loop control algorithm, including three control terms: proportional (P), integral (I), and differential (D). By adjusting the coefficients of these three control terms, precise control of the controlled object (spring) can be achieved. Specifically, the spring loading force adjustment deviation is input into the PID controller and calculated according to the preset PID parameters (proportional coefficient Kp, integral coefficient Ki, differential coefficient Kd). The parameter proportional term is used to quickly respond to the change in deviation; the parameter integral term is used to eliminate the static deviation; and the parameter differential term is used to predict the trend of deviation change and make adjustments in advance.

[0039] It further includes step S380 of performing weighted fusion transformation on the parameter proportional term, parameter integral term, and parameter differential term to obtain the load balancing pressure parameter. Performing weighted fusion transformation on the parameter proportional term, parameter integral term, and parameter differential term calculated by the PID controller includes operations such as linear combination or non-linear transformation of the three control terms to obtain the final control quantity. The result obtained after weighted fusion transformation is the load balancing pressure parameter, which reflects the magnitude of the loading force that needs to be adjusted to make the spring reach the target equilibrium state. In practical applications, the output force value of the loading device can be adjusted according to this parameter, so as to achieve precise control of the spring loading process.

[0040] In a possible implementation manner, step S360 further includes step S361 of arranging and integrating the spring loading test standard data stream in time series to obtain the spring loading test sequence data stream. During the spring loading test, various parameters (such as loading force, deformation amount, etc.) during the spring loading process are recorded in real time through a data acquisition system. The standard data stream generated during the process is arranged and integrated in chronological order to form an ordered and continuous data sequence, and the spring loading test sequence data stream is obtained to ensure that the time correlation between the data is retained.

[0041] It further includes step S362 of fitting the state change trend of the spring loading test sequence data stream to obtain the spring state change trend curve. Mathematical methods (such as regression analysis, curve fitting, etc.) are used to process and fit the spring loading test sequence data stream to obtain the trend curve of the spring state changing with time, revealing the change law of the spring state, and providing a basis for subsequent curvature analysis and prediction.

[0042] It further includes step S363 of performing curvature analysis on the spring state change trend curve to obtain the spring state curvature change information. Curvature analysis is performed on the fitted spring state change trend curve, the curvature values at each point of the curve are calculated, and the change trend of the curvature values is analyzed. The magnitude of the curvature value reflects the degree of bending of the curve near that point, and the change of the curvature value reflects the change of the degree of bending of the curve. The spring state curvature change information is obtained, which reflects the speed of the spring state change and the turning point of the trend, so as to more deeply understand the performance characteristics of the spring.

[0043] It further includes step S364 of dividing and predicting the spring loading test standard data stream based on the spring state curvature change information to obtain the target equilibrium state. The spring loading test sequence data stream is divided into different stages or intervals according to the curvature change information, which represents different change patterns or trends of the spring state. On this basis, a mathematical model or algorithm is used to predict the future state of the spring. The prediction is based on the current state and historical data, and at the same time, the influence of external factors (such as environmental temperature, loading rate, etc.) is considered. The target equilibrium state is determined according to the prediction result and actual requirements, which represents the ideal state of the spring under specific conditions and may also be a stable state that meets certain performance requirements.

[0044] Step S400: Obtain the spring balance performance evaluation criteria, and conduct a multi-dimensional evaluation of the spring pressure balance detection data set based on the spring balance performance evaluation criteria to determine the two-way spring pressure balance performance detection result. The spring balance performance evaluation criteria are usually formulated by relevant industry organizations or professional research institutions and are used to standardize the criteria for spring performance testing and evaluation. They may include indicators in multiple aspects such as the pressure balance requirements, displacement range, elastic recovery performance, durability, etc. of the spring under different loading conditions. After obtaining the spring balance performance evaluation criteria, a multi-dimensional evaluation is conducted on the spring pressure balance detection data set based on this standard, that is, the detection data set is analyzed and compared from multiple angles and dimensions to comprehensively evaluate the pressure balance performance of the two-way spring. Specifically, analyze the pressure change of the spring in the detection data set under different loading conditions to evaluate whether it meets the pressure balance requirements specified in the evaluation criteria; observe the displacement change of the spring during the loading process to evaluate whether its displacement is stable and meets the provisions of the evaluation criteria; evaluate whether the elastic recovery performance of the spring is good by measuring the recovery situation of the spring after unloading, that is, whether it can quickly return to the original state. After completing the multi-dimensional evaluation, determine the two-way spring pressure balance performance detection result according to the evaluation result. For example, it includes information such as the scores, rankings, or grades of the spring under different indicators.

[0045] In a possible implementation, step S400 further includes step S410 of extracting evaluation indicators from the spring balance performance evaluation criteria to obtain a set of balance performance evaluation indicators, which includes deformation amount consistency, restoring force stability, and performance durability. When evaluating the balance performance of a spring, multiple key evaluation indicators are extracted from the spring balance performance evaluation criteria to form a set of balance performance evaluation indicators, including deformation amount consistency, restoring force stability, and performance durability. Specifically, deformation amount consistency refers to the stability and consistency of the deformation amount of the spring under different loading conditions, reflecting whether the deformation amount of the spring can remain relatively stable within the allowable range when subjected to an external force, so as to ensure the balance performance of the spring; restoring force stability refers to the stability of the ability of the spring to restore its original shape and size after unloading, reflecting whether the elastic restoring ability of the spring is reliable and whether it can maintain a stable restoring force under different usage conditions; performance durability refers to the ability of the spring to maintain its performance stable during long-term use, considering the changes in performance parameters such as the deformation amount and restoring force of the spring after experiencing multiple loading-unloading cycles, so as to evaluate the durability and service life of the spring.

[0046] It further includes step S420 of performing multi-dimensional evaluation on the spring pressure balance detection data set based on the deformation amount consistency, restoring force stability, and performance durability to obtain a consistency parameter, a stability parameter, and a durability parameter. Performing multi-dimensional evaluation on the spring pressure balance detection data set based on the deformation amount consistency, restoring force stability, and performance durability. Specifically, by measuring and comparing the deformation amounts of the spring under different loading conditions, a consistency index of the deformation amount, that is, a consistency parameter, is calculated, which reflects the stability and repeatability of the deformation amount of the spring; by monitoring the change of the restoring force of the spring during the unloading process, a stability index of the restoring force, that is, a stability parameter, is calculated to evaluate whether the ability of the spring to restore its original state after unloading is stable and reliable; by simulating the long-term use process of the spring and recording its performance changes after multiple loading-unloading cycles, a performance durability index, that is, a durability parameter, is calculated, which reflects the durability and stability of the spring during long-term use.

[0047] It further includes step S430 of performing performance weighted measurement on the consistency parameter, the stability parameter, and the durability parameter to obtain a spring pressure balance performance coefficient. Performing performance weighted measurement on the consistency parameter, the stability parameter, and the durability parameter, comprehensively considering the influence of deformation amount consistency, restoring force stability, and performance durability on the spring balance performance. Specifically, the weight coefficients of each parameter are determined, and the parameters are weighted and summed according to these coefficients to obtain a spring pressure balance performance coefficient, which is a comprehensive performance index used to evaluate the overall balance performance of the spring.

[0048] It further includes step S440 of determining the detection result of the bidirectional spring pressure balance performance based on the consistency parameter, stability parameter, durability parameter, and the spring pressure balance performance coefficient. Based on the comprehensive evaluation results of the consistency parameter, stability parameter, durability parameter, and the spring pressure balance performance coefficient, specific detection results of the bidirectional spring in terms of pressure balance performance are given, such as qualified, unqualified, to be improved, etc.

[0049] In the above, reference is made to Figure 1 A method for detecting the pressure balance of a bidirectional spring according to an embodiment of the present invention is described in detail. Next, a system for detecting the pressure balance of a bidirectional spring according to an embodiment of the present invention will be described with reference to Figure 2 Describe a system for detecting the pressure balance of a bidirectional spring according to an embodiment of the present invention.

[0050] A system for detecting the pressure balance of a bidirectional spring according to an embodiment of the present invention is used to solve the technical problem that the existing spring pressure balance detection is difficult to monitor the pressure changes of the bidirectional spring in the forward and reverse loading processes in real time and accurately, resulting in the inability to comprehensively evaluate the performance of the bidirectional spring under the bidirectional force state and the insufficient detection accuracy of the pressure balance performance, and achieves the technical effect of improving the accuracy and reliability of the detection result of the bidirectional spring pressure balance performance. A system for detecting the pressure balance of a bidirectional spring includes: a bidirectional spring test device deployment module 10, a spring loading test data stream acquisition module 20, a spring pressure balance detection data set acquisition module 30, and a balance performance detection result determination module 40.

[0051] The bidirectional spring test device deployment module 10 is used to analyze the test requirements for the target bidirectional spring, obtain the bidirectional spring pressure test form, and deploy the bidirectional spring test device. The bidirectional spring test device includes a bidirectional loading mechanism, a spring fixing mechanism, and a sensor array. Among them, the sensor array includes a pressure sensor and a displacement sensor;

[0052] The spring loading test data stream acquisition module 20 is used to fix the target bidirectional spring through the spring fixing mechanism, control the bidirectional loading mechanism to load the target bidirectional spring according to the bidirectional spring pressure test form, and simultaneously collect and obtain the spring loading test data stream through the sensor array;

[0053] The spring pressure balance detection data set acquisition module 30 is used to perform standardized preprocessing on the spring loading test data stream, obtain the spring loading test standard data stream, perform loading pressure balance adjustment based on the spring loading test standard data stream to obtain the loading balance pressure parameter, and perform multiple tests based on the loading balance pressure parameter to obtain the spring pressure balance detection data set;

[0054] A balance performance detection result determination module 40 is configured to obtain a spring balance performance evaluation criterion, and perform multi-dimensional evaluation on the spring pressure balance detection data set based on the spring balance performance evaluation criterion to determine a two-way spring pressure balance performance detection result.

[0055] Next, the specific configuration of the two-way spring test device deployment module 10 will be described in detail. The two-way spring test device deployment module 10 further includes: analyzing the test requirements of the target two-way spring to obtain spring test requirement parameters, where the spring test requirement parameters include the maximum pressure range, accuracy requirements, and spring specifications; performing test element analysis according to the two-way spring test process to determine test table element information; configuring test parameters for the test table element information based on the spring test requirement parameters to obtain a spring test element parameter set; and obtaining the two-way spring pressure test table according to the test table element information and the spring test element parameter set.

[0056] Next, the specific configuration of the spring pressure balance detection data set acquisition module 30 will be described in detail. The spring pressure balance detection data set acquisition module 30 may further include: obtaining data anomaly factor information, where the data anomaly factor information includes out-of-range data, missing values, and inconsistent data; identifying anomalies in the spring loading test data stream based on the data anomaly factor information to obtain anomaly loading test data; analyzing the preprocessing steps for the data anomaly factor information respectively to obtain a set of anomaly factor data preprocessing programs; and performing standardized preprocessing on the anomaly loading test data based on the set of anomaly factor data preprocessing programs to obtain the spring loading test standard data stream.

[0057] Next, the specific configuration of the spring pressure balance detection data set acquisition module 30 will be further described in detail. The spring pressure balance detection data set acquisition module 30 may further include: performing calibration on the two-way spring pressure balance detection to obtain a calibrated detection device; using the two-way spring test device and the calibrated detection device to measure the target two-way spring multiple times to obtain spring debugging detection data and standard spring detection data; verifying the calibration of the spring debugging detection data based on the standard spring detection data to determine the influence factor of the test pile calibration accuracy; and correcting the influence on the spring loading test standard data stream based on the influence factor of the test pile calibration accuracy.

[0058] Next, the specific configuration of the spring pressure balance detection dataset acquisition module 30 will be further described in detail. The spring pressure balance detection dataset acquisition module 30 further includes: extracting and identifying the state of the spring loading test standard data stream to obtain the current spring state parameter information; obtaining the target balance state, analyzing the loading force adjustment strategy for the difference between the current spring state parameter information and the target balance state, and determining the spring loading force adjustment deviation; calculating the spring loading force adjustment deviation based on a PID controller to obtain the parameter proportional term, parameter integral term, and parameter differential term; performing weighted fusion conversion on the parameter proportional term, parameter integral term, and parameter differential term to obtain the loading balance pressure parameter.

[0059] Next, the specific configuration of the spring pressure balance detection dataset acquisition module 30 will be further described in detail. The spring pressure balance detection dataset acquisition module 30 further includes: arranging and integrating the spring loading test standard data stream according to the time series to obtain the spring loading test sequence data stream; fitting the state change trend of the spring loading test sequence data stream to obtain the spring state change trend curve; analyzing the curvature of the spring state change trend curve to obtain the spring state curvature change information; dividing and predicting the spring loading test standard data stream based on the spring state curvature change information to obtain the target balance state.

[0060] Next, the specific configuration of the balance performance detection result determination module 40 will be described in detail. The balance performance detection result determination module 40 may further include: extracting evaluation indicators from the spring balance performance evaluation standard to obtain a set of balance performance evaluation indicators, the set of balance performance evaluation indicators including deformation consistency, restoring force stability, and performance durability; performing multi-dimensional evaluation on the spring pressure balance detection dataset based on the deformation consistency, restoring force stability, and performance durability to obtain consistency parameters, stability parameters, and durability parameters; performing performance weighted measurement on the consistency parameters, stability parameters, and durability parameters to obtain the spring pressure balance performance coefficient; determining the two-way spring pressure balance performance detection result based on the consistency parameters, stability parameters, and durability parameters, and the spring pressure balance performance coefficient.

[0061] A two-way spring pressure balance detection system provided by an embodiment of the present invention can execute a two-way spring pressure balance detection method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0062] Although this application makes various references to certain modules in the system according to the embodiments of this application, however, any number of different modules can be used and run on the user terminal and / or the server. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and are not used to limit the protection scope of the present invention.

[0063] The above specific implementation manners do not constitute a limitation to the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. A bidirectional spring pressure balance detection method, characterized in that: The method comprises: Conduct test demand analysis on the target bidirectional spring, obtain a bidirectional spring pressure test table, and deploy a bidirectional spring test device, wherein the bidirectional spring test device includes a bidirectional loading mechanism, a spring fixing mechanism, and a sensor array, wherein the sensor array includes a pressure sensor and a displacement sensor; The target bidirectional spring is fixed by the spring fixing mechanism, the bidirectional loading mechanism is controlled to load the target bidirectional spring according to the bidirectional spring pressure test table, and a spring loading test data stream is acquired by the sensor array; Performing standardized preprocessing on the spring loading test data stream to obtain a spring loading test standard data stream, performing loading pressure balance adjustment based on the spring loading test standard data stream to obtain a loading balance pressure parameter, and performing multiple tests based on the loading balance pressure parameter to obtain a spring pressure balance detection data set; A spring balance performance evaluation standard is obtained, and a multi-dimensional evaluation is performed on the spring pressure balance detection data set based on the spring balance performance evaluation standard to determine a bidirectional spring pressure balance performance detection result.

2. A bidirectional spring pressure balance detection method as claimed in claim 1, characterized in that: The step of obtaining a bidirectional spring pressure test table includes: Performing a test requirement analysis on the target bidirectional spring to obtain spring test requirement parameters, wherein the spring test requirement parameters include a maximum pressure range, precision requirements, and spring specifications; Analyze the test elements according to the bidirectional spring test process and determine the test table element information; Perform test parameter configuration on the test table element information based on the spring test requirement parameters to obtain a spring test element parameter set; The bidirectional spring pressure test table is obtained according to the test table element information and the spring test element parameter set.

3. A bidirectional spring pressure balance detection method as claimed in claim 1, characterized in that: The step of obtaining the spring loading test standard data stream includes: Acquire data anomaly factor information, wherein the data anomaly factor information includes out-of-range data, missing values, and inconsistent data; Based on the data abnormality factor information, the spring loading test data stream is identified as abnormal to obtain abnormal loading test data; Performing preprocessing step analysis on the data abnormality factor information respectively to obtain a set of abnormality factor data preprocessing procedures; The abnormal loading test data is subjected to standardized preprocessing based on the abnormal factor data preprocessing program set to obtain the spring loading test standard data stream.

4. A bidirectional spring pressure balance detection method as claimed in claim 3, characterized in that: The method comprises: Carry out gold machine calibration for bidirectional spring pressure balance test and obtain calibration test equipment; Use the bidirectional spring testing device and the calibration detection equipment to measure the target bidirectional spring multiple times to obtain spring debugging detection data and standard spring detection data; Calibrate and verify the spring debugging test data based on the standard spring test data to determine the test pile calibration accuracy influencing factor; The spring loading test standard data stream is impact-corrected based on the test pile calibration accuracy impact factor.

5. A bidirectional spring pressure balance detection method as claimed in claim 1, characterized in that: The step of obtaining the loading balance pressure parameter comprises: Performing state extraction and identification on the spring loading test standard data stream to obtain current spring state parameter information; Obtaining a target equilibrium state, performing a loading force adjustment strategy analysis on the difference between the current spring state parameter information and the target equilibrium state, and determining a spring loading force adjustment deviation; The spring loading force adjustment deviation is calculated based on the PID controller to obtain a parameter proportional term, a parameter integral term and a parameter differential term; The parameter proportional term, parameter integral term and parameter differential term are weightedly fused and transformed to obtain the loading balance pressure parameter.

6. A bidirectional spring pressure balance detection method as claimed in claim 5, characterized in that: The obtaining of the target equilibrium state comprises: Arrange and integrate the spring loading test standard data stream according to the time series to obtain the spring loading test sequence data stream; Performing state change trend fitting on the spring loading test sequence data stream to obtain a spring state change trend curve; Performing curvature analysis on the spring state change trend curve to obtain spring state curvature change information; The spring loading test standard data stream is divided and predicted based on the spring state curvature change information to obtain the target equilibrium state.

7. A bidirectional spring pressure balance detection method as claimed in claim 1, characterized in that: Determining the bidirectional spring pressure balance performance test result includes: Extracting evaluation indicators from the spring balance performance evaluation standard to obtain a balance performance evaluation indicator set, wherein the balance performance evaluation indicator set includes deformation consistency, restoring force stability, and performance durability; Based on the deformation consistency, restoring force stability, and performance durability, a multi-dimensional evaluation is performed on the spring pressure balance detection data set to obtain consistency parameters, stability parameters, and durability parameters; Performing a performance weighted measurement on the consistency parameter, stability parameter and durability parameter to obtain a spring pressure balance performance coefficient; Based on the consistency parameter, stability parameter and durability parameter, and the spring pressure balance performance coefficient, the bidirectional spring pressure balance performance test result is determined.

8. A bidirectional spring pressure balance detection system, characterized in that: The system is used to implement a bidirectional spring pressure balance detection method according to any one of claims 1 to 7, and the system comprises: A bidirectional spring test device deployment module, the bidirectional spring test device deployment module is used to perform test demand analysis on a target bidirectional spring, obtain a bidirectional spring pressure test table, and deploy a bidirectional spring test device, the bidirectional spring test device includes a bidirectional loading mechanism, a spring fixing mechanism, and a sensor array, wherein the sensor array includes a pressure sensor and a displacement sensor; A spring loading test data stream acquisition module, the spring loading test data stream acquisition module is used to fix the target bidirectional spring through the spring fixing mechanism, control the bidirectional loading mechanism to load the target bidirectional spring according to the bidirectional spring pressure test table, and simultaneously acquire the spring loading test data stream through the sensor array; A spring pressure balance detection data set acquisition module, the spring pressure balance detection data set acquisition module is used to perform standardized preprocessing on the spring loading test data stream, obtain a spring loading test standard data stream, perform loading pressure balance adjustment based on the spring loading test standard data stream, obtain a loading balance pressure parameter, and perform multiple tests based on the loading balance pressure parameter to obtain a spring pressure balance detection data set; A balance performance test result determination module is used to obtain a spring balance performance evaluation standard, perform a multi-dimensional evaluation on the spring pressure balance test data set based on the spring balance performance evaluation standard, and determine a bidirectional spring pressure balance performance test result.

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