CN-122016144-A - Corner torque spanner calibration method

CN122016144ACN 122016144 ACN122016144 ACN 122016144ACN-122016144-A

Abstract

The application provides a corner torque spanner calibration method which comprises the steps of executing accurate control operation aiming at dynamic resistance torque simulation through an optimized response path, synchronously matching torque output with angle change to obtain a simulation result with enhanced calibration accuracy, obtaining deviation data in the simulation result, carrying out iterative correction on a control system by adopting a feedback algorithm to determine a corrected torque output model so as to improve overall efficiency, generating a resistance torque adjustment scheme under multiple angles according to the corrected torque output model, processing complex working conditions by integrating a real-time response mechanism to obtain a final dynamic simulation frame, outputting calibration accuracy indexes from the final dynamic simulation frame, and confirming that the indexes meet industrial requirements by adopting a verification algorithm so as to complete comprehensive optimization of a spanner calibration process.

Inventors

REN XIANG
FU LI
WANG WEIHUA
ZHAO FANGFANG
LI LIJIAN
XING LEI
WANG MINGHE
GAO JUNJIE
YANG NAN
LI XIAODONG
WANG ZHENYU
LI HAIBIN
WANG YIMING
REN XIA
LI KEYAN
SUN XIAOPING

Assignees

河南省计量测试科学研究院

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (8)

1. A method of calibrating a torque wrench, the method comprising: Acquiring dynamic resistance moment data of the corner torque spanner in the calibration process, acquiring moment output signals under different angle changes in real time through a sensor, and converting the signals into a digital sequence for subsequent processing to obtain primary resistance moment distribution; According to the preliminary resistance moment distribution, the angle change is analyzed by adopting a preset simulation algorithm, and a target moment value corresponding to each angle point is determined, so that an adjustment instruction sequence is generated for controlling system input, and the power of the control system is provided by a servo motor; extracting real-time response requirements from an adjustment instruction sequence, activating a quick adjustment module if the requirements exceed a preset threshold, otherwise, maintaining current moment output, and obtaining an optimized response path; performing accurate control operation on dynamic resistance moment simulation through an optimized response path, and synchronously matching moment output with angle change to obtain a simulation result with enhanced calibration precision; obtaining deviation data in a simulation result, carrying out iterative correction on a control system by adopting a feedback algorithm, and determining a corrected moment output model so as to improve the overall efficiency; Generating a resistance moment adjustment scheme under multiple angles according to the corrected moment output model, and processing complex working conditions through an integrated real-time response mechanism to obtain a final dynamic simulation frame; and outputting a calibration precision index from a final dynamic simulation framework, and adopting a verification algorithm to confirm that the index meets industrial requirements, thereby completing comprehensive optimization of the wrench calibration process.
2. The method for calibrating a turning torque wrench according to claim 1, wherein the step of acquiring dynamic resistance moment data of the turning torque wrench in the calibration process, collecting moment output signals under different angle changes in real time through a sensor, and converting the signals into a digital sequence for subsequent processing to obtain a preliminary resistance moment distribution comprises the steps of: Acquiring moment output signals of the torque wrench at different angles in real time through a sensor to obtain an original analog signal sequence; If the original analog signal sequence contains noise, smoothing the signal by adopting an average filtering algorithm to obtain a denoised analog signal sequence; According to the denoised analog signal sequence, converting the analog signal sequence into a digital sequence by adopting an analog-to-digital conversion technology to obtain processable digital signal data; Calculating moment output values corresponding to the angles according to the digital signal data to obtain an angle-moment corresponding relation data set; If the angle-moment corresponding relation data set has abnormal values, screening is carried out through a preset threshold value, abnormal data points are removed, and an optimized moment distribution data set is obtained; and calculating the resistance moment distribution under continuous angles by adopting a linear interpolation algorithm according to the optimized moment distribution data set to obtain a preliminary resistance moment distribution curve.
3. The method for calibrating a turning torque wrench according to claim 1, wherein the step of analyzing the angle change by using a preset simulation algorithm according to the preliminary resistance torque distribution to determine a target torque value corresponding to each angle point, thereby generating an adjustment command sequence for input of a control system, further comprises: Smoothing the target moment value by adopting a linear interpolation algorithm to generate a continuous moment change curve so as to obtain a smooth moment sequence; If abnormal values exist in the smooth moment sequence, abnormal points are identified through a preset threshold detection algorithm and replaced by average values of adjacent points, and a corrected moment sequence is obtained; According to the corrected moment sequence, adopting a gradient descent algorithm to optimize moment distribution of angle points, generating a preliminary adjustment instruction sequence, and obtaining an optimized instruction set; aiming at an optimized instruction set, analyzing the continuity of the instruction sequence, and filling the break point through a spline interpolation algorithm if the break point of the sequence exceeds a preset threshold value to obtain a continuous instruction sequence; Acquiring a continuous instruction sequence, mapping the continuous instruction sequence to input parameters of a control system, generating a final control instruction sequence, and obtaining a system input sequence; And verifying the matching degree of the moment distribution and the initial resistance moment through the system input sequence, and judging the accuracy of the control command sequence to obtain a verification result.
4. The method of claim 1, wherein extracting a real-time response requirement from the adjustment command sequence, activating the fast adjustment module if the requirement exceeds a preset threshold, and otherwise maintaining the current torque output to obtain an optimized response path, comprises: acquiring real-time response demands from the instruction sequence, and determining demand priority by analyzing the instruction content; if the priority exceeds a preset threshold, activating a quick adjustment module to generate a dynamic adjustment instruction; according to the dynamic adjustment instruction, the current moment output state is obtained, and the adjustment amplitude is determined; an optimized response path is generated by adjusting the amplitude update torque output.
5. The method for calibrating a turning torque wrench according to claim 1, wherein the performing an accurate control operation for dynamic resistance torque simulation through an optimized response path, and synchronously matching torque output with angle change, to obtain a simulation result with enhanced calibration accuracy, includes: acquiring real-time data of dynamic moment and angle change through a sensor to obtain an initial data set; denoising the dynamic moment and the angle change by adopting a Kalman filtering algorithm according to the initial data set to obtain a smooth data set; if the torque fluctuation in the smoothed data set exceeds a preset threshold value, adjusting a response path through a proportional-integral-derivative control algorithm to obtain an optimized control parameter; according to the optimized control parameters, synchronous matching of torque output and angle change is adjusted in real time, and a synchronous control signal is obtained; Performing accurate control of dynamic moment through the synchronous control signal to obtain calibrated moment output; calculating a matching error with the angle change according to the calibrated torque output to obtain an error data set; if the matching error in the error data set is lower than a preset threshold value, the current control parameters are saved, and a final simulation result is obtained.
6. The method for calibrating a torque wrench of claim 1, wherein the obtaining deviation data in the simulation result, performing iterative correction on the control system by using a feedback algorithm, and determining a corrected torque output model to improve overall efficiency, includes: Obtaining deviation data in a simulation result, and determining distribution characteristics of the deviation data through data analysis to obtain a deviation data set; Extracting key control parameters from the deviation data set, carrying out iterative update on the control parameters by adopting a feedback algorithm, and determining an updated control parameter set; adjusting a moment output model according to the updated control parameter set, and calculating the adjusted moment output through simulation verification to obtain a moment output value; if the deviation between the torque output value and the target efficiency exceeds a preset threshold value, optimizing the torque output model by adopting a gradient descent algorithm to obtain an optimized torque model; Generating a new control instruction through the optimized moment model, verifying the execution effect of the control instruction by adopting real-time simulation, and determining the performance parameters of the system; analyzing the efficiency improvement degree according to the system performance parameters, and if the efficiency improvement does not reach the expectation, adjusting the iteration step length of the feedback algorithm to obtain a new deviation data set; And extracting control parameters from the new deviation data set, and repeating the iterative optimization process to determine a final moment output model.
7. The method for calibrating a turning torque wrench according to claim 1, wherein the generating a resistance moment adjustment scheme under multiple angles according to the corrected moment output model, processing complex working conditions by integrating a real-time response mechanism, and obtaining a final dynamic simulation frame comprises: acquiring moment data and working condition parameters through a moment output model to obtain initial moment distribution; according to the initial moment distribution, adopting an angle distribution calculation method to generate a multi-angle resistance moment adjustment scheme; If the response speed of the multi-angle resistance moment adjustment scheme is lower than a preset threshold value, optimizing adjustment parameters through a real-time response mechanism to obtain a quick response scheme; analyzing the applicability of the quick response scheme under various working conditions through a complex working condition processing module, and determining working condition adaptation parameters; according to the working condition adaptation parameters, a dynamic feedback control mechanism is adopted to adjust the moment resistance scheme, so that a dynamic adjustment result is obtained; integrating dynamic adjustment results and working condition adaptation parameters through a dynamic simulation framework to generate dynamic simulation output; And if the accuracy of the dynamic simulation output is lower than a preset threshold value, optimizing simulation parameters through a support vector machine algorithm to obtain a final dynamic simulation framework.
8. The method of calibrating a torque wrench of claim 1, wherein outputting calibration accuracy metrics from a final dynamic simulation framework, and using a verification algorithm to confirm that the metrics meet industry requirements, thereby completing a complete optimization of the wrench calibration process, comprises: Generating calibration precision index data through a dynamic simulation framework, and cleaning and formatting the original data by adopting a data processing module to obtain a calibration precision data set; If the index value in the calibration precision data set deviates from a preset industrial standard, fitting the calibration parameters by adopting a linear regression algorithm to obtain an optimized calibration parameter set; according to the optimized calibration parameter set, adjusting the configuration of an automatic calibration system in a spanner calibration flow, and generating an updated calibration execution scheme; evaluating the updated calibration execution scheme through a verification algorithm, and judging whether the calibration accuracy index meets the industrial standard or not to obtain a verification result; if the verification result shows that the calibration accuracy index does not reach the industrial standard, analyzing a deviation reason through the data processing module to generate a deviation correction parameter; Updating a calibration model in the dynamic simulation framework according to the deviation correction parameters to generate new calibration precision index data; and executing new calibration accuracy index data through an automatic calibration system, optimizing a spanner calibration flow, and obtaining a final calibration result.

Description

Corner torque spanner calibration method Technical Field The invention relates to the technical field of information, in particular to a corner torque spanner calibration method. Background In the field of mechanical manufacturing and precise calibration, the performance of the corner torque wrench directly affects the quality and safety of products, and the calibration process is critical to ensuring the precision of tools. With the advancement of industrial automation and intelligent manufacturing, calibration equipment requires greater flexibility and accuracy to meet the diverse production needs. Conventional calibration methods generally rely on manual operation or mechanical devices to provide the resisting moment, but these methods are difficult to adapt to dynamic requirements under complex working conditions, and particularly in a scene where the resisting moment is required to be changed under different angles, obvious limitations are exposed. One major drawback of the existing calibration method is its lack of dynamic drag torque simulation. Conventional devices often employ fixed mechanical structures or simple hydraulic systems that often lack sufficient response speed and accuracy in the face of situations where accurate control of resistance moment changes at different angles is desired. For example, during calibration, the wrench needs to bear resistance moments of different magnitudes at multiple angle points to verify whether the performance meets the standard, and the existing equipment is difficult to quickly and accurately adjust the resistance moment, so that the reliability of the calibration result is reduced. In addition, the control systems of these methods often cannot accommodate dynamic changes in the calibration process in real time, limiting calibration efficiency and accuracy. The core technical difficulty focuses on how to achieve accurate simulation and quick response of dynamic resistance moment. The first problem is to realize the accurate control of the resistance moment under different angles. The resistive torque needs to be switched quickly and remain stable at a specific angle point, which requires high precision torque output capability and quick dynamic adjustment capability of the calibration device. If this problem is not solved, the calibration device will have difficulty simulating complex moment variations under real conditions. Second, the need for a quick response further exacerbates the complexity of the control system. In the calibration process, the equipment needs to adjust moment output according to angle change in millisecond time, which puts extremely high requirements on the real-time performance and stability of the control system. The unresolved problem of accurate control can lead to moment output deviation, and the existence of deviation can directly influence the realization of quick response, and the two are interrelated, have restricted the promotion of calibration equipment performance jointly. Therefore, in the process of calibrating the corner torque spanner, how to realize accurate control and quick dynamic adjustment of the resistance moment under different angles through equipment becomes a key problem for improving the calibration precision and efficiency. For example, when calibrating a torque wrench for automobile assembly, the device needs to simulate a continuously variable resistance moment from 5nm to 50 nm within a rotation range of 0 ° to 90 °, and the moment adjustment time after each angle change must not exceed 100 ms, otherwise, calibration data will be distorted, and the practical use effect of the wrench is affected. The solution of this problem is directly related to whether the calibration equipment can meet the industrial requirements of high precision and dynamics. The deficiency of dynamic resistance moment simulation and the response bottleneck of a control system make the existing calibration method difficult to adapt to the calibration task under the complex working condition. Therefore, how to realize accurate control and rapid adjustment of the resistance moment under different angles becomes a key problem in the technical field of calibration. Disclosure of Invention The invention provides a corner torque spanner calibration method, which mainly comprises the following steps: Acquiring dynamic resistance moment data of the corner torque spanner in the calibration process, acquiring moment output signals under different angle changes in real time through a sensor, and converting the signals into a digital sequence for subsequent processing to obtain primary resistance moment distribution; According to the preliminary resistance moment distribution, the angle change is analyzed by adopting a preset simulation algorithm, and a target moment value corresponding to each angle point is determined, so that an adjustment instruction sequence is generated for controlling system input, and the power of the control system