Torque performance testing method and system of pneumatic wrench

Abstract

The invention provides a method and system for testing the torque performance of a pneumatic wrench, and relates to the technical field of pneumatic wrench performance test.The method comprises the steps that multiple sample torque performance test results are obtained; a plurality of torque performance deviation factors are obtained for comprehensive deviation analysis of the target torque test bench, and a target deviation factor is obtained; performing fluctuation data acquisition on the plurality of preset test conditions to obtain a plurality of fluctuation factors; matching a target test condition of the target pneumatic wrench with a plurality of fluctuation factors to obtain a target fluctuation factor; performing torque test on the target pneumatic wrench to obtain a first torque performance test result; and correcting the first torque performance test result by using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result. According to the invention, the technical problem of low accuracy of the torque performance test result in the prior art can be solved, and the technical effect of improving the torque performance test analysis efficiency of the pneumatic wrench is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of air trigger performance testing, and in particular to a method and system for testing the torque performance of an air trigger. Background Art

[0002] Air triggers are commonly used tools in industrial production, and their torque performance is crucial to work efficiency and product quality. In order to ensure the reliability and stability of air triggers, torque performance testing is required. By conducting torque performance testing, it can be determined whether the air trigger can provide accurate and reliable torque output within the normal working range.

[0003] At present, the existing gas trigger torque performance test mainly relies on manual analysis of test data, which has large errors and easily leads to inaccurate test results. At the same time, the degree of integration of test parameters with different usage scenarios is low, resulting in low accuracy of test monitoring data and abnormal analysis based on test monitoring data, resulting in low accuracy of torque performance test results. Therefore, a method is needed to solve the above problems.

[0004] In summary, there is a technical problem in the prior art that the accuracy of the torque performance test results is low due to the low degree of integration of test parameters with different usage scenarios, resulting in low accuracy of test monitoring data and abnormal analysis based on test monitoring data. Summary of the invention

[0005] The purpose of this application is to provide a method and system for testing the torque performance of an air trigger, so as to solve the technical problem in the prior art that the accuracy of the torque performance test results is low due to the low degree of integration of the test parameters with different usage scenarios, resulting in low accuracy of the test monitoring data and abnormal analysis based on the test monitoring data.

[0006] In view of the above problems, the present application provides a method and system for testing the torque performance of an air trigger.

[0007] In a first aspect, the present application provides a method for testing the torque performance of an air trigger, which is implemented by a torque performance testing system for an air trigger, wherein the method includes: collecting a plurality of sample air triggers under a plurality of preset test conditions, and performing torque performance tests using a target torque test bench to obtain a plurality of sample torque performance test results; performing deviation analysis on the plurality of sample torque performance test results and the rated performance of a plurality of sample air triggers, respectively, to obtain a plurality of torque performance deviation factors; performing a comprehensive deviation analysis of the plurality of torque performance deviation factors using the target torque test bench to obtain a target deviation factor; performing fluctuation data collection on a plurality of preset test conditions based on a sensor array, respectively, and integrating the collected results to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond one to one with the plurality of preset test conditions; obtaining a target test condition for a target air trigger, and matching the target test condition with the plurality of fluctuation factors to obtain a target fluctuation factor; performing a torque test on the target air trigger using the target torque test bench to obtain a first torque performance test result; and correcting the first torque performance test result using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result.

[0008] In a second aspect, the present application further provides a torque performance testing system for an air trigger, which is used to execute a torque performance testing method for an air trigger as described in the first aspect, wherein the system includes: a sample torque performance test result acquisition module, the sample torque performance test result acquisition module is used to collect multiple sample air triggers under multiple preset test conditions, and use a target torque test bench to perform torque performance tests to obtain multiple sample torque performance test results; a torque performance deviation factor acquisition module, the torque performance deviation factor acquisition module is used to perform deviation analysis on the multiple sample torque performance test results and the rated performance of multiple sample air triggers, respectively, to obtain multiple torque performance deviation factors; a target deviation factor acquisition module, the target deviation factor acquisition module is used to perform a comprehensive deviation analysis of the target torque test bench on the multiple torque performance deviation factors to obtain a target deviation factor; a fluctuation factor acquisition module, the fluctuation factor The sub-acquisition module is used to collect fluctuation data for multiple preset test conditions based on the sensor array, and integrate the collected results to obtain multiple fluctuation factors, wherein the multiple fluctuation factors correspond to the multiple preset test conditions one by one; a target fluctuation factor acquisition module, the target fluctuation factor acquisition module is used to obtain the target test conditions of the target air trigger, match the target test conditions with the multiple fluctuation factors, and obtain the target fluctuation factors; a first torque performance test result acquisition module, the first torque performance test result acquisition module is used to perform a torque test on the target air trigger using the target torque test bench to obtain a first torque performance test result; a target torque performance test result acquisition module, the target torque performance test result acquisition module is used to correct the first torque performance test result using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The invention discloses a method for obtaining a plurality of sample air triggers by collecting data of a plurality of preset test conditions, and performing torque performance tests on a target torque test bench to obtain a plurality of sample torque performance test results; performing deviation analysis on the plurality of sample torque performance test results and the rated performance of a plurality of sample air triggers respectively, and obtaining a plurality of torque performance deviation factors; performing a comprehensive deviation analysis on the plurality of torque performance deviation factors of the target torque test bench to obtain a target deviation factor; performing fluctuation data collection on a plurality of preset test conditions respectively based on a sensor array, and integrating the collected results to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond to the plurality of preset test conditions one by one; obtaining a target test condition of a target air trigger, matching the target test condition with the plurality of fluctuation factors to obtain a target fluctuation factor; performing a torque test on the target air trigger by using the target torque test bench to obtain a first torque performance test result; correcting the first torque performance test result by using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result, thereby finally realizing the technical goal of improving the reliability of torque performance testing and achieving the technical effect of improving the efficiency of torque performance testing and analysis of air triggers.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0013] Figure 1 A schematic flow chart of a method for testing the torque performance of an air trigger according to the present application;

[0014] Figure 2 This is a schematic structural diagram of a torque performance testing system for an air trigger according to the present application.

[0015] Description of reference numerals:

[0016] Sample torque performance test result acquisition module 11, torque performance deviation factor acquisition module 12, target deviation factor acquisition module 13, fluctuation factor acquisition module 14, target fluctuation factor acquisition module 15, first torque performance test result acquisition module 16, target torque performance test result acquisition module 17. DETAILED DESCRIPTION

[0017] The present application provides a method and system for testing the torque performance of an air trigger, which solves the technical problem in the prior art that the accuracy of the test monitoring data and the abnormal analysis based on the test monitoring data is low due to the low degree of integration of the test parameters with different usage scenarios, resulting in low accuracy of the torque performance test results. The technical goal of improving the reliability of the torque performance test is achieved, and the technical effect of improving the efficiency of the torque performance test analysis of the air trigger is achieved.

[0018] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0019] Embodiment 1

[0020] Please see attached Figure 1 The present application provides a method for testing the torque performance of an air trigger, wherein the method is applied to a torque performance testing system of an air trigger, and the method specifically comprises the following steps:

[0021] Step 1: Collect multiple sample air triggers and perform torque performance tests using a target torque test bench under multiple preset test conditions to obtain multiple sample torque performance test results;

[0022] Specifically, multiple air trigger samples are randomly or according to the specifications of the air triggers from the production line to ensure that the sample air triggers are representative. According to the test requirements, multiple different test conditions are preset, including different air pressures, rotation speeds, loads, etc. Furthermore, the target torque test bench is a test bench for the air trigger test. Furthermore, according to the preset test conditions, corresponding parameters are set for the target torque test bench. Start the target torque test bench and perform a torque performance test on the sample air trigger according to the preset conditions. Ensure that the data is recorded accurately and completely during the test. Under each test condition, record the torque performance test results of each sample, including key data such as maximum torque, average torque, torque fluctuation, etc.

[0023] Step 2: Perform deviation analysis on the torque performance test results of the multiple samples and the rated performance of the multiple sample air triggers to obtain multiple torque performance deviation factors;

[0024] Specifically, the rated torque performance data of each sample air trigger is obtained from the product manual or technical document. For each sample air trigger, the torque performance data obtained from the actual test is compared with the rated torque performance data, and the deviation is calculated as the deviation factor.

[0025] Step 3: performing a comprehensive deviation analysis of the target torque test bench on the multiple torque performance deviation factors to obtain a target deviation factor;

[0026] Specifically, the multiple torque performance deviation factors are deviated with a preset deviation step length until the distance of the deviation factors obtained by two adjacent deviations is less than the preset deviation factor distance, then the deviation is stopped to obtain the target deviation factor. The preset deviation step length and the preset deviation factor distance are obtained by custom settings by those skilled in the art according to actual conditions.

[0027] Step 4: collecting fluctuation data for a plurality of preset test conditions based on the sensor array, and integrating the collected results to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond to the plurality of preset test conditions one by one;

[0028] Specifically, the sensor array is a combination of multiple sensors for collecting fluctuation data sets. Further, based on the sensor array, fluctuation data are collected for multiple preset test conditions respectively to obtain collection results, and the collection results are combined to obtain multiple fluctuation factors. Further, the multiple fluctuation factors correspond to the multiple preset test conditions one by one. Under different preset test conditions, due to the influence of external factors on the test, the greater the fluctuation factor, the greater the influence on the test.

[0029] Step 5: Obtain target test conditions of the target gas trigger, match the target test conditions with the multiple fluctuation factors, and obtain target fluctuation factors;

[0030] Specifically, the target test conditions of the target air trigger are obtained. The target test conditions are set according to the actual application scenario, performance requirements or experimental purposes, and may include specific grip force, air source pressure, rotation speed, workload and other parameters. The target test conditions are matched with the test conditions corresponding to multiple fluctuation factors to find the known test conditions that are closest to or match the target test conditions. For example, this is achieved by comparing the parameter values, ranges or categories of the test conditions. Furthermore, if the test conditions match the target test conditions, the fluctuation factor corresponding to the condition is obtained as the target fluctuation factor. For example, interpolation, approximation or other mathematical methods are used to estimate the fluctuation factor under the target test conditions. The target fluctuation factor is then obtained to reflect the performance fluctuation of the target air trigger under specific test conditions.

[0031] Step 6: Perform a torque test on the target air trigger using the target torque test bench to obtain a first torque performance test result;

[0032] Specifically, the target air trigger is mounted on the target torque test bench, and the fixture on the test bench is adjusted according to the size and shape of the target air trigger to ensure that the target air trigger does not move or shake during the test. A torque test is performed on the target air trigger, and test data is extracted from the target torque test bench to obtain a first torque performance test result.

[0033] Step seven: using the target deviation factor and the target fluctuation factor to correct the first torque performance test result to obtain a target torque performance test result.

[0034] Specifically, a target deviation factor and a target fluctuation factor are obtained. The target deviation factor can correct the deviation between the performance of the target air trigger under the target test conditions and the ideal state. According to the value and trend of the target deviation factor, it is judged whether the torque output of the target air trigger is stable, and whether there is obvious performance degradation or abnormal fluctuation. By analyzing the value and change law of the fluctuation factor, the first torque performance test result is corrected to eliminate or reduce the error caused by the fluctuation. Furthermore, the first torque performance test result is corrected by the target fluctuation factor. Among them, it can be selected according to the actual situation and needs, for example, it can be calculated and adjusted through a mathematical model, an algorithm or an empirical formula.

[0035] The torque performance testing method of an air trigger is applied to a torque performance testing system of an air trigger, which can achieve the technical goal of improving the reliability of the torque performance testing and achieve the technical effect of improving the efficiency of the torque performance testing and analysis of the air trigger.

[0036] Furthermore, the present application also includes the following steps:

[0037] constructing a comprehensive deviation space based on the plurality of torque performance deviation factors, wherein the comprehensive deviation space has a plurality of spatial points;

[0038] Calculate the center positions of the multiple spatial points and use the corresponding spatial points as the starting spatial points;

[0039] Taking the starting spatial point as the starting point, deviation identification is performed according to a preset deviation step length to obtain a first spatial point.

[0040] Specifically, a comprehensive deviation space is constructed based on multiple torque performance deviation factors, and multiple torque performance deviation factors of each sample air trigger can be regarded as a point in the comprehensive deviation space. Therefore, for N sample air triggers, there are N spatial points in the comprehensive deviation space.

[0041] Then, for each torque performance deviation factor in the comprehensive deviation space, the mean of all spatial points is calculated to obtain the coordinates of the center position, and the spatial point corresponding to the calculated center position coordinates is used as the starting spatial point.

[0042] Next, a deviation step is set according to actual needs. The variance of multiple torque deviation factors is calculated, and the calculation result is compared with the preset variance standard value. The preset deviation step is obtained by multiplying the ratio with the standard deviation step corresponding to the preset variance standard value. The deviation step determines the distance of each deviation identification starting from the starting space point. Further, starting from the starting space point, a search is performed in the comprehensive deviation space according to the preset deviation step, and the obtained space point is the first space point.

[0043] The first spatial point is obtained by constructing a comprehensive deviation space, thereby improving the accuracy of deviation identification.

[0044] Furthermore, the present application also includes the following steps:

[0045] Determine whether the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point meets a preset value, and if so, use the first spatial point as a stage spatial point;

[0046] If not, calling the rand function, generating a random value based on the rand function, and judging whether the random value satisfies the preset random value. If yes, taking the first space point as the stage space point;

[0047] Continue to perform deviation identification based on the stage space point until the space density gain of the stage space point obtained by two adjacent deviation identifications is less than a preset gain, and then stop performing deviation identification;

[0048] The spatial point corresponding to the maximum spatial density in the deviation identification process is taken as the target torque performance deviation factor.

[0049] Specifically, the spatial density of the starting spatial point is the ratio of the number of spatial points in the region constructed with the starting spatial point as the center and the preset deviation step as the radius to the area of ​​the upper region. The spatial density of the first spatial point is calculated, wherein the ratio of the number of spatial points in the region constructed with the first spatial point as the center and the preset deviation step as the radius to the area of ​​the upper region. It is determined whether the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point meets the preset value, wherein the preset value is used to determine the size of the spatial density corresponding to the data in the ratio, for example, the preset value is 1. If the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point meets the preset value, it means that the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point is greater than the preset value, which further means that the spatial density of the first spatial point is greater than the spatial density of the starting spatial point, and the first spatial point is used as the stage spatial point.

[0050] Then, if the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point does not meet the preset value, it means that the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point is less than or equal to the preset value, and then it means that the spatial density of the first spatial point is less than or equal to the spatial density of the starting spatial point, then the rand function is called, a random value is generated based on the rand function, and the generated random value is compared with the preset random value. Among them, the preset random value is a preset random value threshold. The preset random value is obtained by the skill and technical personnel according to the actual situation. For example, the preset random value is 60%. Further, the random value represents the probability of accepting the first spatial point as a stage spatial point. The preset random value is that if the generated random value meets the preset random value, the first spatial point is accepted as the stage spatial point, avoiding falling into local optimization due to continuing to accept the starting spatial point group as the stage spatial point. If the random value does not meet the preset random value, the starting spatial point is taken as the stage spatial point, and after continuing the local optimization, the random value is generated by the rand function to judge whether it meets the preset random value.

[0051] Next, the preset gain is the preset spatial density difference. The spatial density gain is the difference in spatial density. Using the new stage space point as the starting point, continue to perform deviation identification according to the preset deviation step until the spatial density difference of the stage space point obtained by two adjacent deviation identifications is less than the preset spatial density difference, indicating that the spatial density of the stage space point obtained by two adjacent deviation identifications is relatively close, and further deviation identification no longer brings about significant spatial density changes, then stop the deviation identification.

[0052] Then, in the process of deviation identification, the spatial density of the spatial points in each stage is recorded, and the spatial point with the maximum spatial density is obtained. The spatial point corresponding to the maximum spatial density is used as the target torque performance deviation factor, which represents the most dense area in the comprehensive deviation space and may correspond to the sample gas trigger with abnormal performance or requiring special attention.

[0053] By obtaining the target torque performance deviation factor, the most densely populated area in the comprehensive deviation space is obtained, thereby further improving the accuracy and efficiency of the torque performance test.

[0054] Furthermore, the present application also includes the following steps:

[0055] A dense area is constructed based on the target torque performance deviation factor, and a plurality of torque performance deviation factors in the dense area are averaged to obtain the target deviation factor.

[0056] Specifically, a dense area is constructed with the spatial point corresponding to the target torque deviation factor as the center and the preset deviation step as the radius. The mean of multiple torque performance deviation factors in the dense area is calculated to obtain the target deviation factor, which represents the comprehensive situation of torque performance deviation in the dense area and can be used for subsequent performance evaluation, anomaly detection or optimization and improvement.

[0057] By obtaining the target deviation factor of the target torque performance deviation factor, a basis is provided for subsequent performance evaluation and abnormality detection.

[0058] Furthermore, the present application also includes the following steps:

[0059] The sensor array includes a pressure sensor, a CCD camera and an air source pressure sensor, wherein the pressure sensor is used to monitor the switch force of the air trigger, the CCD camera is used to collect images of the contact angle between the air trigger and the torque sensor, and the air source pressure sensor is used to monitor the pressure of the air supply source;

[0060] The pressure sensor, the CCD camera and the air source pressure sensor are used to collect the fluctuation data of multiple preset test conditions respectively, so as to obtain multiple pressure fluctuation data sets, multiple contact angle sets and multiple air source pressure data sets;

[0061] Performing data fluctuation analysis on the multiple pressure fluctuation data sets, the multiple contact angle data sets, and the multiple gas source pressure data sets respectively to obtain multiple pressure fluctuation coefficients, multiple contact angle fluctuation coefficients, and multiple gas source pressure fluctuation coefficients;

[0062] The plurality of fluctuation factors are obtained by integrating the plurality of pressure fluctuation coefficients, the plurality of contact angle fluctuation coefficients and the plurality of gas source pressure fluctuation coefficients.

[0063] Specifically, the sensor array includes a pressure sensor, a CCD camera and an air source pressure sensor, wherein the pressure sensor is used to monitor the opening and closing force of the air trigger. For example, by measuring the grip force in real time, the operator's usage habits of the air trigger and the performance of the air trigger under different forces can be obtained. The CCD camera is used to capture an image of the contact angle between the air trigger and the torque sensor. For example, by analyzing the image, the contact angle can be accurately measured, and then the impact of the contact state between the air trigger and the torque sensor on the performance can be evaluated. The air source pressure sensor is used to monitor the pressure of the air supply source. For example, the air source pressure is one of the key factors affecting the performance of the air trigger, so real-time monitoring of the air supply source pressure helps to understand the impact of air source pressure fluctuations on performance.

[0064] Then, multiple different test conditions are preset, such as different grip forces, contact angles, and air source pressures, to simulate various situations that may occur in actual use. Under each preset test condition, the sensor array is used to collect data. By recording the pressure changes under different grip forces, the contact angles under different test conditions, and the data under different air source pressures, multiple pressure fluctuation data sets, multiple contact angle data sets, and multiple air source pressure data sets are obtained.

[0065] Next, the variance of the collected multiple pressure fluctuation data sets is calculated to obtain the pressure fluctuation coefficient of each data set. The variance of the multiple contact angle sets is calculated to obtain the contact angle fluctuation coefficient of each set. The variance of the multiple air source pressure data sets is calculated to obtain the air source pressure fluctuation coefficient of each set.

[0066] Next, based on the calculated multiple pressure fluctuation coefficients, multiple contact angle fluctuation coefficients, and multiple air source pressure fluctuation coefficients, an integrated analysis is performed. For example, this can be achieved through weighted average, principal component analysis, or other comprehensive evaluation methods to obtain multiple fluctuation factors that can reflect the degree of performance fluctuation of the air trigger under different test conditions, which are used to evaluate the performance stability and reliability of the air trigger.

[0067] Fluctuation data collection is performed through a sensor array to improve the accuracy of obtaining air trigger performance.

[0068] Furthermore, the present application also includes the following steps:

[0069] The images captured by the CCD camera under multiple preset test conditions are respectively collected to obtain multiple test image sets;

[0070] Angle features are extracted from the multiple test image sets using an angle recognition network layer to obtain the multiple contact angle sets.

[0071] Specifically, according to a plurality of different test conditions, such as different gripping forces, air source pressures or contact methods, a CCD camera is set so as to be able to clearly capture the contact interface between the air trigger and the torque sensor. Under each preset test condition, the contact interface between the air trigger and the torque sensor is captured by the CCD camera to obtain a plurality of test image sets, wherein each test image set contains all images captured under the test condition.

[0072] Then, the collected test image set is preprocessed, such as denoising, contrast enhancement, etc., to improve image quality and provide better conditions for subsequent feature extraction. The pre-trained angle recognition network layer is used to extract angle features from the preprocessed test image. The angle recognition network layer can be trained through deep learning technology and can accurately identify the angle information in the image. The test image set is input into the angle recognition network layer, and the angle features in the image are extracted through network calculation and processing. For each test image set, the extracted angle features are sorted to form a corresponding contact angle set.

[0073] Through the collection of multiple contact angles, important data support is provided for subsequent performance evaluation and fluctuation analysis.

[0074] Furthermore, the present application also includes the following steps:

[0075] Obtaining a plurality of target coordinate points according to the plurality of pressure fluctuation coefficients, the plurality of contact angle fluctuation coefficients and the plurality of gas source pressure fluctuation coefficients;

[0076] Matching the multiple target coordinate points with the m nearest sample points in the three-dimensional space of fluctuation analysis respectively to obtain multiple sample point sets, where m is a positive integer greater than or equal to 3;

[0077] The fluctuation factors corresponding to each sample point in the plurality of sample point sets are traversed, and weighted calculation is performed with the Euclidean distance from the plurality of target coordinate points as weights to obtain the plurality of fluctuation factors.

[0078] Specifically, according to the calculated multiple pressure fluctuation coefficients, multiple contact angle fluctuation coefficients and multiple gas source pressure fluctuation coefficients, a target coordinate point is generated according to each test condition. The three coordinate values ​​of each target coordinate point correspond to the pressure fluctuation coefficient, the contact angle fluctuation coefficient and the gas source pressure fluctuation coefficient respectively.

[0079] Then, in the existing sample database, a large number of sample points are stored, and each sample point corresponds to a set of known fluctuation factors. The sample points are obtained in the experiment and have been verified and calibrated. For each target coordinate point, the m nearest sample points are found in the three-dimensional space of the fluctuation analysis to obtain multiple sets of sample points. Among them, the Euclidean distance is used as the distance metric to reflect the straight-line distance between two points in the multidimensional space. Through nearest neighbor matching, a set of m sample points is obtained for each target coordinate point for subsequent weighted calculation. Among them, since the m sample points obtained are obtained by performing the nearest neighbor calculation based on the pressure fluctuation coefficient, the contact angle fluctuation coefficient and the gas source pressure fluctuation coefficient, m is a positive integer greater than or equal to 3.

[0080] Next, for each set of sample points corresponding to each target coordinate point, visit each sample point in turn. Extract the corresponding fluctuation factor from each sample point. Use the Euclidean distance from the target coordinate point to each sample point as the weight to perform weighted calculation on the extracted fluctuation factor. Among them, the smaller the Euclidean distance, the closer the sample point is to the target coordinate point, and the greater the weight of the corresponding fluctuation factor in the weighted calculation, and vice versa. Furthermore, through weighted calculation, the fluctuation factor corresponding to each target coordinate point is obtained, which is used to reflect the fluctuation coefficients of multiple dimensions, and takes into account the distribution of sample points, so it can more accurately reflect the performance fluctuation of the gas trigger.

[0081] By using the fluctuation factor, the accuracy of obtaining the performance fluctuation of the gas trigger is improved.

[0082] Furthermore, the present application also includes the following steps:

[0083] Constructing a first coordinate axis, a second coordinate axis and a third coordinate axis according to the pressure fluctuation coefficient, the contact angle fluctuation coefficient and the gas source pressure fluctuation coefficient respectively;

[0084] Generate a framework of the three-dimensional space for the fluctuation analysis based on the first coordinate axis, the second coordinate axis and the third coordinate axis;

[0085] Obtain multiple sample pressure fluctuation coefficients, multiple sample contact angle fluctuation coefficients and multiple sample gas source pressure fluctuation coefficients and input them into the framework of the fluctuation analysis three-dimensional space to obtain multiple sample points, and identify the sample points with the fluctuation factors corresponding to each sample point to generate the fluctuation analysis three-dimensional space.

[0086] Specifically, the scale range and interval of the first coordinate axis are determined according to the calculated pressure fluctuation coefficient range. The first coordinate axis is used to represent the pressure fluctuation under different test conditions. The scale range and interval of the second coordinate axis are set according to the range of the contact angle fluctuation coefficient. The second coordinate axis reflects the degree of fluctuation of the contact angle. Based on the data of the gas source pressure fluctuation coefficient, the third coordinate axis is constructed, and its scale range and interval are determined. The third coordinate axis is used to show the stability of the gas source pressure.

[0087] Then, use 3D drawing software or tools to combine the first, second and third axes to form a 3D coordinate system. The 3D coordinate system is the framework of the 3D space of fluctuation analysis. Add appropriate tick marks and labels to each axis to clearly indicate the numerical range of each fluctuation coefficient.

[0088] Next, data from multiple sample points are collected, including sample pressure fluctuation coefficient, sample contact angle fluctuation coefficient, and sample gas source pressure fluctuation coefficient. The collected sample data are input into the framework of the three-dimensional space of fluctuation analysis. The three fluctuation coefficient values ​​of each sample point will determine its position in the three-dimensional space. According to the input sample data, the corresponding sample points are drawn in the three-dimensional space, which are used to distribute at different positions in the space to reflect the fluctuation of different samples.

[0089] Next, for each sample point, the corresponding fluctuation factor is obtained. The fluctuation factor is related to the fluctuation coefficient of the sample point. In the three-dimensional space, each sample point is marked to display its corresponding fluctuation factor. For example, the marking method can use color, number or other visual methods to intuitively display the fluctuation of different sample points.

[0090] By obtaining the three-dimensional space of fluctuation analysis, the performance fluctuation of the air trigger under different test conditions can be intuitively displayed, providing strong support for subsequent performance analysis and optimization.

[0091] In summary, the torque performance testing method of a gas trigger provided by the present application has the following technical effects:

[0092] The invention discloses a method for obtaining a plurality of sample air triggers by collecting data of a plurality of preset test conditions, and performing torque performance tests on a target torque test bench to obtain a plurality of sample torque performance test results; performing deviation analysis on the plurality of sample torque performance test results and the rated performance of a plurality of sample air triggers respectively, and obtaining a plurality of torque performance deviation factors; performing a comprehensive deviation analysis on the plurality of torque performance deviation factors of the target torque test bench to obtain a target deviation factor; performing fluctuation data collection on a plurality of preset test conditions respectively based on a sensor array, and integrating the collected results to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond to the plurality of preset test conditions one by one; obtaining a target test condition of a target air trigger, matching the target test condition with the plurality of fluctuation factors to obtain a target fluctuation factor; performing a torque test on the target air trigger by using the target torque test bench to obtain a first torque performance test result; correcting the first torque performance test result by using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result, thereby finally realizing the technical goal of improving the reliability of torque performance testing and achieving the technical effect of improving the efficiency of torque performance testing and analysis of air triggers.

[0093] Embodiment 2

[0094] Based on the same invention concept as the torque performance testing method of an air trigger in the aforementioned embodiment, the present application also provides a torque performance testing system for an air trigger, see the attached Figure 2 , the system comprising:

[0095] A sample torque performance test result acquisition module 11, wherein the sample torque performance test result acquisition module 11 is used to collect a plurality of sample air triggers under a plurality of preset test conditions, perform torque performance tests using a target torque test bench, and obtain a plurality of sample torque performance test results;

[0096] A torque performance deviation factor obtaining module 12, wherein the torque performance deviation factor obtaining module 12 is used to perform deviation analysis on the torque performance test results of the plurality of samples and the rated performance of the plurality of sample air triggers, respectively, to obtain a plurality of torque performance deviation factors;

[0097] A target deviation factor obtaining module 13, wherein the target deviation factor obtaining module 13 is used to perform a comprehensive deviation analysis of the target torque test bench on the multiple torque performance deviation factors to obtain a target deviation factor;

[0098] A fluctuation factor acquisition module 14, which is used to collect fluctuation data for a plurality of preset test conditions based on a sensor array, and integrate the collected results to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond to the plurality of preset test conditions one by one;

[0099] A target fluctuation factor obtaining module 15, wherein the target fluctuation factor obtaining module 15 is used to obtain a target test condition of a target gas trigger, match the target test condition with the plurality of fluctuation factors, and obtain a target fluctuation factor;

[0100] A first torque performance test result obtaining module 16, wherein the first torque performance test result obtaining module 16 is used to perform a torque test on the target air trigger using the target torque test bench to obtain a first torque performance test result;

[0101] The target torque performance test result obtaining module 17 is used to correct the first torque performance test result by using the target deviation factor and the target fluctuation factor to obtain the target torque performance test result.

[0102] Furthermore, the target deviation factor obtaining module 13 in the system is also used for:

[0103] constructing a comprehensive deviation space based on the plurality of torque performance deviation factors, wherein the comprehensive deviation space has a plurality of spatial points;

[0104] Calculate the center positions of the multiple spatial points and use the corresponding spatial points as the starting spatial points;

[0105] Taking the starting spatial point as the starting point, deviation identification is performed according to a preset deviation step length to obtain a first spatial point.

[0106] Furthermore, the target deviation factor obtaining module 13 in the system is also used for:

[0107] Determine whether the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point meets a preset value, and if so, use the first spatial point as a stage spatial point;

[0108] If not, calling the rand function, generating a random value based on the rand function, and judging whether the random value satisfies the preset random value. If yes, taking the first space point as the stage space point;

[0109] Continue to perform deviation identification based on the stage space point until the space density gain of the stage space point obtained by two adjacent deviation identifications is less than a preset gain, and then stop performing deviation identification;

[0110] The spatial point corresponding to the maximum spatial density in the deviation identification process is taken as the target torque performance deviation factor.

[0111] Furthermore, the target deviation factor obtaining module 13 in the system is also used for:

[0112] A dense area is constructed based on the target torque performance deviation factor, and a plurality of torque performance deviation factors in the dense area are averaged to obtain the target deviation factor.

[0113] Furthermore, the fluctuation factor obtaining module 14 in the system is also used for:

[0114] The sensor array includes a pressure sensor, a CCD camera and an air source pressure sensor, wherein the pressure sensor is used to monitor the switch force of the air trigger, the CCD camera is used to collect images of the contact angle between the air trigger and the torque sensor, and the air source pressure sensor is used to monitor the pressure of the air supply source;

[0115] The pressure sensor, the CCD camera and the air source pressure sensor are used to collect the fluctuation data of multiple preset test conditions respectively, so as to obtain multiple pressure fluctuation data sets, multiple contact angle sets and multiple air source pressure data sets;

[0116] Performing data fluctuation analysis on the multiple pressure fluctuation data sets, the multiple contact angle data sets, and the multiple gas source pressure data sets respectively to obtain multiple pressure fluctuation coefficients, multiple contact angle fluctuation coefficients, and multiple gas source pressure fluctuation coefficients;

[0117] The plurality of fluctuation factors are obtained by integrating the plurality of pressure fluctuation coefficients, the plurality of contact angle fluctuation coefficients and the plurality of gas source pressure fluctuation coefficients.

[0118] Furthermore, the fluctuation factor obtaining module 14 in the system is also used for:

[0119] The images captured by the CCD camera under multiple preset test conditions are respectively collected to obtain multiple test image sets;

[0120] Angle features are extracted from the multiple test image sets using an angle recognition network layer to obtain the multiple contact angle sets.

[0121] Furthermore, the fluctuation factor obtaining module 14 in the system is also used for:

[0122] Obtaining a plurality of target coordinate points according to the plurality of pressure fluctuation coefficients, the plurality of contact angle fluctuation coefficients and the plurality of gas source pressure fluctuation coefficients;

[0123] Matching the multiple target coordinate points with the m nearest sample points in the three-dimensional space of fluctuation analysis respectively to obtain multiple sample point sets, where m is a positive integer greater than or equal to 3;

[0124] The fluctuation factors corresponding to each sample point in the plurality of sample point sets are traversed, and weighted calculation is performed with the Euclidean distance from the plurality of target coordinate points as weights to obtain the plurality of fluctuation factors.

[0125] Furthermore, the fluctuation factor obtaining module 14 in the system is also used for:

[0126] Constructing a first coordinate axis, a second coordinate axis and a third coordinate axis according to the pressure fluctuation coefficient, the contact angle fluctuation coefficient and the gas source pressure fluctuation coefficient respectively;

[0127] Generate a framework of the three-dimensional space for the fluctuation analysis based on the first coordinate axis, the second coordinate axis and the third coordinate axis;

[0128] Obtain multiple sample pressure fluctuation coefficients, multiple sample contact angle fluctuation coefficients and multiple sample gas source pressure fluctuation coefficients and input them into the framework of the fluctuation analysis three-dimensional space to obtain multiple sample points, and identify the sample points with the fluctuation factors corresponding to each sample point to generate the fluctuation analysis three-dimensional space.

[0129] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The torque performance test method and specific examples of a gas trigger in the aforementioned embodiment 1 are also applicable to a torque performance test system of a gas trigger in this embodiment. Through the aforementioned detailed description of the torque performance test method of a gas trigger, those skilled in the art can clearly know the torque performance test system of a gas trigger in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0130] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0131] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for testing the torque performance of an air trigger, characterized in that: The method comprises: Collect multiple sample air triggers under multiple preset test conditions, use the target torque test bench to perform torque performance tests, and obtain multiple sample torque performance test results; Perform deviation analysis on the torque performance test results of the multiple samples and the rated performance of the multiple sample air triggers to obtain multiple torque performance deviation factors; Performing a comprehensive deviation analysis of the target torque test bench on the multiple torque performance deviation factors to obtain a target deviation factor; Based on the sensor array, fluctuation data are collected for a plurality of preset test conditions respectively, and the collected results are integrated to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond to the plurality of preset test conditions one by one; Acquire target test conditions of a target air trigger, match the target test conditions with the plurality of fluctuation factors, and obtain target fluctuation factors; Using the target torque test bench to perform a torque test on the target air trigger to obtain a first torque performance test result; The first torque performance test result is corrected using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result.

2. The method according to claim 1, characterized in that The method comprises: constructing a comprehensive deviation space based on the plurality of torque performance deviation factors, wherein the comprehensive deviation space has a plurality of spatial points; Calculate the center positions of the multiple spatial points and use the corresponding spatial points as the starting spatial points; Taking the starting spatial point as the starting point, deviation identification is performed according to a preset deviation step length to obtain a first spatial point.

3. The method according to claim 2, characterized in that The method comprises: Determine whether the ratio of the spatial density of the first spatial point to the spatial density of the starting spatial point meets a preset value, and if so, use the first spatial point as a stage spatial point; If not, calling the rand function, generating a random value based on the rand function, and judging whether the random value satisfies the preset random value. If yes, taking the first space point as the stage space point; Continue to perform deviation identification based on the stage space point until the space density gain of the stage space point obtained by two adjacent deviation identifications is less than a preset gain, and then stop performing deviation identification; The spatial point corresponding to the maximum spatial density in the deviation identification process is taken as the target torque performance deviation factor.

4. The method according to claim 3, characterized in that A dense area is constructed based on the target torque performance deviation factor, and a plurality of torque performance deviation factors in the dense area are averaged to obtain the target deviation factor.

5. The method according to claim 1, characterized in that The method comprises: The sensor array includes a pressure sensor, a CCD camera and an air source pressure sensor, wherein the pressure sensor is used to monitor the switch force of the air trigger, the CCD camera is used to collect images of the contact angle between the air trigger and the torque sensor, and the air source pressure sensor is used to monitor the pressure of the air supply source; The pressure sensor, the CCD camera and the air source pressure sensor are used to collect the fluctuation data of multiple preset test conditions respectively, so as to obtain multiple pressure fluctuation data sets, multiple contact angle sets and multiple air source pressure data sets; Performing data fluctuation analysis on the multiple pressure fluctuation data sets, the multiple contact angle data sets, and the multiple gas source pressure data sets respectively to obtain multiple pressure fluctuation coefficients, multiple contact angle fluctuation coefficients, and multiple gas source pressure fluctuation coefficients; The plurality of fluctuation factors are obtained by integrating the plurality of pressure fluctuation coefficients, the plurality of contact angle fluctuation coefficients and the plurality of gas source pressure fluctuation coefficients.

6. The method according to claim 5, characterized in that The method comprises: The images captured by the CCD camera under multiple preset test conditions are respectively collected to obtain multiple test image sets; Angle features are extracted from the multiple test image sets using an angle recognition network layer to obtain the multiple contact angle sets.

7. The method according to claim 5, characterized in that The method comprises: Obtaining a plurality of target coordinate points according to the plurality of pressure fluctuation coefficients, the plurality of contact angle fluctuation coefficients and the plurality of gas source pressure fluctuation coefficients; Matching the multiple target coordinate points with the m nearest sample points in the three-dimensional space of fluctuation analysis respectively to obtain multiple sample point sets, where m is a positive integer greater than or equal to 3; The fluctuation factors corresponding to each sample point in the plurality of sample point sets are traversed, and weighted calculation is performed with the Euclidean distance from the plurality of target coordinate points as weights to obtain the plurality of fluctuation factors.

8. The method according to claim 7, characterized in that The method comprises: Constructing a first coordinate axis, a second coordinate axis and a third coordinate axis according to the pressure fluctuation coefficient, the contact angle fluctuation coefficient and the gas source pressure fluctuation coefficient respectively; Generate a framework of the three-dimensional space for the fluctuation analysis based on the first coordinate axis, the second coordinate axis and the third coordinate axis; Obtain multiple sample pressure fluctuation coefficients, multiple sample contact angle fluctuation coefficients and multiple sample gas source pressure fluctuation coefficients and input them into the framework of the fluctuation analysis three-dimensional space to obtain multiple sample points, and identify the sample points with the fluctuation factors corresponding to each sample point to generate the fluctuation analysis three-dimensional space.

9. A torque performance testing system for an air trigger, characterized in that: For implementing the steps of the method according to any one of claims 1 to 8, the system comprises: A sample torque performance test result acquisition module, which is used to collect multiple sample air triggers under multiple preset test conditions, perform torque performance tests using a target torque test bench, and obtain multiple sample torque performance test results; A torque performance deviation factor obtaining module, wherein the torque performance deviation factor obtaining module is used to perform deviation analysis on the torque performance test results of the plurality of samples and the rated performance of the plurality of sample air triggers respectively, to obtain a plurality of torque performance deviation factors; a target deviation factor obtaining module, the target deviation factor obtaining module being used to perform a comprehensive deviation analysis of the target torque test bench on the multiple torque performance deviation factors to obtain a target deviation factor; A fluctuation factor acquisition module, the fluctuation factor acquisition module is used to collect fluctuation data for a plurality of preset test conditions based on a sensor array, and integrate the collected results to obtain a plurality of fluctuation factors, wherein the plurality of fluctuation factors correspond to the plurality of preset test conditions one by one; A target fluctuation factor acquisition module, the target fluctuation factor acquisition module is used to acquire a target test condition of a target gas trigger, match the target test condition with the plurality of fluctuation factors, and acquire a target fluctuation factor; A first torque performance test result obtaining module, wherein the first torque performance test result obtaining module is used to perform a torque test on the target air trigger using the target torque test bench to obtain a first torque performance test result; A target torque performance test result acquisition module is used to correct the first torque performance test result by using the target deviation factor and the target fluctuation factor to obtain a target torque performance test result.

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