Intelligent detection system and method for BAR strip clamp
Through the intelligent detection system, the clamping force and spacing of the BAR strip fixture is automatically detected by simulated strips, pressure sensors and distance sensors, which solves the problem of low manual detection efficiency in the existing technology, and realizes efficient and accurate fixture detection and adaptability Diversify needs and identify abnormalities in a timely manner.
Patent Information
- Application Number
- CN202411315570.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2025-01-07
AI Technical Summary
The existing BAR strip fixture detection methods mainly rely on manual handheld equipment, which has low detection efficiency, resulting in insufficient clamping and reduced processing quality.
An intelligent detection system including support components, detection components and judgment components was designed. The clamping force and spacing of the fixture was automatically detected by analog strips, pressure sensors and distance sensors, combined with precision moving mechanisms and high sensitivity sensors, and through data analysis and machine learning technology automatically identify and diagnose problems.
It improves the degree of automation and standardization of detection, reduces manual intervention, ensures the accuracy and reliability of detection data, adapts to the detection requirements of BAR bars of different sizes and types, and promptly triggers alarms to correct abnormal situations.
Smart Images

Figure CN119269048A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of fixture detection technology and equipment, and in particular to an intelligent detection system and method for a BAR bar fixture. Background Art
[0002] A bar clamp is a device used to fix and support bar bars (usually metal bars), which can play an important role in industrial production, mechanical processing, and electronic assembly. This clamp is usually made of metal or other solid materials, and is designed with clamping parts and adjustment mechanisms to ensure the stability and accuracy of the bar bars during processing. There are many types of bar clamps, and the designs vary according to different application scenarios and bar bar specifications to meet various processing needs.
[0003] The BAR bar clamp will wear out after being used for a period of time, which will make the BAR bar clamping unstable, thereby reducing the subsequent processing quality. Therefore, the clamp needs to be inspected regularly. The existing inspection method is mainly to use manual handheld equipment for inspection, which has low inspection efficiency. Summary of the invention
[0004] The object of the present invention is to provide an intelligent detection system and method for a BAR bar clamp, which aims to clamp the clamp to test the clamp through a simulation bar, with a high degree of automation, more standardized detection results, and improved detection quality.
[0005] To achieve the above-mentioned objectives, in a first aspect, the present invention provides an intelligent detection system for a BAR bar clamp, comprising a support component, a detection component and a judgment component, wherein the support component comprises a base, a support frame and a fixed platform, the support frame is fixedly connected to the base and is located on the top of the base, the fixed platform is arranged on the support frame, the detection component comprises a transverse moving part, a longitudinal moving part, a simulation bar, a pressure sensor and a distance sensor, the transverse moving part is slidably arranged on the top of the fixed platform, the longitudinal moving part is slidably arranged below the transverse moving part, the simulation bar is arranged on the longitudinal moving part, the pressure sensor and the distance sensor are arranged on the simulation bar, and the judgment component is used to obtain the detection data of the pressure sensor and the distance sensor to judge the working status of the BAR bar clamp.
[0006] The fixed platform comprises a platform body, a support block, a fixed block and a fixed cylinder. The support block is fixed on the platform body. The fixed block is slidably arranged on the platform body. The output end of the fixed cylinder is connected to the fixed block.
[0007] Wherein, the fixing platform further comprises a return spring, and the return spring is arranged between the fixing block and the fixing cylinder.
[0008] Among them, the lateral moving part includes a support rod, a sliding block, a driving motor and a screw rod, the support rod is fixed on the platform, the sliding block is slidably connected to the support rod and is located on one side of the support rod, the screw rod is threadedly connected to the sliding block, and the output end of the driving motor is fixedly connected to the screw rod.
[0009] Wherein, the longitudinal moving member comprises a driving cylinder and a mounting block, the driving cylinder is fixed on the sliding block, and the mounting block is fixedly connected to the output end of the driving cylinder.
[0010] Wherein, the simulation bar includes a support bar, a sliding bar and a clamp, the support bar is fixed on the mounting block, the sliding bar is slidably connected to the support bar and is located on one side of the support bar, and the clamp is arranged between the support bar and the sliding bar.
[0011] Wherein, the simulation bar further comprises an adjusting screw, and the adjusting screw is rotatably connected to the supporting bar and is threadedly connected to the sliding bar.
[0012] Wherein, the simulation bar further includes a ruler, and the ruler is arranged on one side of the sliding bar.
[0013] In a second aspect, the present invention provides an intelligent detection method for a BAR bar fixture, comprising:
[0014] The BAR bar fixture to be tested is placed on the fixing table and fixed;
[0015] Start the transverse moving member and the longitudinal moving member to drive the simulation bar into the BAR bar fixture;
[0016] The simulated bar is clamped by BAR bar furniture, and the clamping force data and clamping distance data are collected by pressure sensors and distance sensors;
[0017] The working state of the BAR bar clamp is judged by the judging component based on the clamping force data and the clamping distance data.
[0018] The present invention discloses an intelligent detection system and method for a BAR bar clamp. The base serves as the load-bearing foundation of the entire system to ensure structural stability and positioning accuracy. The support frame is fixedly connected to the base to provide vertical support force to ensure structural rigidity during the detection process. The fixed table is installed on the support frame to carry and position the lateral moving part to ensure the accuracy of its motion trajectory. The lateral moving part of the detection component slides on the fixed table and can adjust its position along the X-axis direction to meet the detection requirements of BAR bars of different sizes. The longitudinal moving part is perpendicular to the lateral moving part and can move in the Y-axis direction to cooperate with the lateral moving part to achieve precise positioning in a two-dimensional plane. The simulation bar is installed on the longitudinal moving part, and its shape and size simulate the BAR bar to be detected, which is used to directly contact and test the performance of the clamp. Pressure sensor: installed on the simulation bar, used to measure the pressure applied by the clamp to the simulation bar when it is closed, so as to evaluate whether the clamping force meets the standard. Distance sensor: also set on the simulation bar, monitors the minimum distance between the clamp and the simulation bar, and ensures the positioning accuracy and repeatability of the clamp. When the judgment component detects an abnormal situation, it immediately triggers an alarm and sends feedback information to the operator or control system so that corrective measures can be taken in time. The present invention combines a precise moving mechanism with a highly sensitive sensor to ensure the accuracy and reliability of the detection data. Through data analysis and machine learning technology, the system can automatically identify and diagnose problems and reduce manual intervention. The system design takes into account BAR strips of different sizes and types, and can adapt to diverse detection needs by adjusting the position of the moving parts. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0020] Figure 1 It is a structural diagram of an intelligent detection system for a BAR bar clamp according to the first embodiment of the present invention.
[0021] Figure 2 It is a left structural diagram of an intelligent detection system for a BAR bar clamp according to the first embodiment of the present invention.
[0022] Figure 3 yes Figure 2 A partial enlargement of detail A.
[0023] Figure 4 It is a right side structural diagram of an intelligent detection system for a BAR bar clamp according to the first embodiment of the present invention.
[0024] Figure 5It is a bottom structural diagram of an intelligent detection system for a BAR bar clamp according to the first embodiment of the present invention.
[0025] Figure 6 yes Figure 5 A partial enlarged view of the inspection component.
[0026] Figure 7 It is a structural diagram of the judgment component of the first embodiment of the present invention.
[0027] Figure 8 It is a flow chart of an intelligent detection method for a BAR bar clamp according to the second embodiment of the present invention.
[0028] Support component 101, detection component 102, judgment component 103, base 104, support frame 105, fixed platform 106, lateral moving part 107, longitudinal moving part 108, simulation bar 109, pressure sensor 110, distance sensor 111, platform 112, support block 113, fixed block 114, fixed cylinder 115, return spring 116, support rod 117, sliding block 118, drive motor 119, screw 120, drive cylinder 121, mounting block 122, support bar 123, sliding bar 124, clamp 125, adjustment screw 126, scale 127, clamp block 128, fixing screw 129, spring 130, guide rod 131, data acquisition unit 132, data processing unit 133, and judgment unit 134. DETAILED DESCRIPTION
[0029] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.
[0030] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.
[0031] First embodiment
[0032] See also Figure 1 to Figure 7The present invention provides an intelligent detection system for a BAR bar fixture, comprising a support component 101, a detection component 102 and a judgment component 103, wherein the support component 101 comprises a base 104, a support frame 105 and a fixing platform 106, wherein the support frame 105 is fixedly connected to the base 104 and is located on the top of the base 104, and the fixing platform 106 is arranged on the support frame 105, and the detection component 102 comprises a lateral moving part 107, a longitudinal moving part 108, a simulation bar 109, a pressure sensor 11 0 and the distance sensor 111, the transverse moving member 107 is slidably arranged on the top of the fixed platform 106, the longitudinal moving member 108 is slidably arranged below the transverse moving member 107, the simulation bar 109 is arranged on the longitudinal moving member 108, the pressure sensor 110 and the distance sensor 111 are arranged on the simulation bar 109, and the judgment component 103 is used to obtain the detection data of the pressure sensor 110 and the distance sensor 111 to judge the working state of the BAR bar clamp.
[0033] In this embodiment, the base 104 serves as the load-bearing foundation of the entire system to ensure structural stability and positioning accuracy. The support frame 105 is fixedly connected to the base 104 to provide vertical support force to ensure structural rigidity during the detection process. The fixed table 106 is installed on the support frame 105 to carry and position the transverse moving member 107 to ensure the accuracy of its motion trajectory. The transverse moving member 107 of the detection component 102 slides on the fixed table 106 and can adjust its position along the X-axis direction to meet the detection requirements of BAR bars of different sizes. The longitudinal moving member 108 is perpendicular to the transverse moving member 107 and can move in the Y-axis direction to cooperate with the transverse moving member 107 to achieve precise positioning in a two-dimensional plane. The simulation bar 109 is installed on the longitudinal moving member 108, and its shape and size simulate the BAR bar to be detected, which is used to directly contact and test the performance of the fixture. Pressure sensor 110: installed on the simulation bar 109, used to measure the pressure applied by the fixture to the simulation bar 109 when it is closed, so as to evaluate whether the clamping force meets the standard. Distance sensor 111: Also set on the simulation bar 109, monitors the minimum distance between the fixture and the simulation bar 109 to ensure the positioning accuracy and repeatability of the fixture. When the judgment component 103 detects an abnormal situation, it immediately triggers an alarm and sends feedback information to the operator or control system so that corrective measures can be taken in time.
[0034] The present invention combines a precise moving mechanism with a highly sensitive sensor to ensure the accuracy and reliability of the test data. Through data analysis and machine learning technology, the system can automatically identify and diagnose problems, reducing manual intervention. The system design takes into account BAR strips of different sizes and types, and can adapt to diverse testing needs by adjusting the position of the moving parts.
[0035] The fixed platform 106 includes a platform body 112 , a support block 113 , a fixed block 114 and a fixed cylinder 115 . The support block 113 is fixed on the platform body 112 . The fixed block 114 is slidably disposed on the platform body 112 . The output end of the fixed cylinder 115 is connected to the fixed block 114 .
[0036] The platform 112 serves as the foundation of the fixed platform 106, and it provides a stable platform for carrying and supporting other components. The support block 113 is fixed on the platform 112 to enhance the stability of the platform 112 and provide additional support for the sliding track of the fixed block 114. The fixed block 114 is slidably set on the platform 112, and can slide on the platform 112 through the push of the fixed cylinder 115 to achieve the fixation or release of the BAR bar. The output end of the fixed cylinder 115 is connected to the fixed block 114 to control the movement of the fixed block 114 to ensure that the BAR bar remains stable and motionless during the detection process.
[0037] The fixing platform 106 further includes a return spring 116 , and the return spring 116 is disposed between the fixing block 114 and the fixing cylinder 115 .
[0038] The return spring 116 is disposed between the fixed block 114 and the fixed cylinder 115. When the cylinder retracts, the spring 130 provides elastic force to help the fixed block 114 quickly return to the initial position to prepare for the next fixing action.
[0039] The transverse moving member 107 includes a support rod 117, a sliding block 118, a driving motor 119 and a screw 120. The support rod 117 is fixed on the platform 112. The sliding block 118 is slidably connected to the support rod 117 and is located on one side of the support rod 117. The screw 120 is threadedly connected to the sliding block 118. The output end of the driving motor 119 is fixedly connected to the screw 120.
[0040] The support rod 117 is fixed on the platform 112, providing a guide track for the sliding block 118. The sliding block 118 is slidably connected to the support rod 117, and is driven by the drive motor 119 through the screw 120 to achieve translation in the X-axis direction. The output end of the drive motor 119 is fixedly connected to the screw 120, providing power to rotate the screw 120, thereby driving the sliding block 118 to move along the support rod 117. The screw 120 is threadedly connected to the sliding block 118, and the rotational motion of the motor is converted into linear motion through rotation.
[0041] The longitudinal moving member 108 includes a driving cylinder 121 and a mounting block 122 . The driving cylinder 121 is fixed on the sliding block 118 , and the mounting block 122 is fixedly connected to the output end of the driving cylinder 121 .
[0042] The driving cylinder 121 is fixed on the sliding block 118, and controls the movement of the mounting block 122 in the Y-axis direction to achieve longitudinal positioning. The mounting block 122 is fixedly connected to the output end of the driving cylinder 121, and carries the simulation bar 109 and other related components.
[0043] The simulation bar 109 includes a support bar 123, a sliding bar 124 and a clamp 125. The support bar 123 is fixed on the mounting block 122. The sliding bar 124 is slidably connected to the support bar 123 and is located on one side of the support bar 123. The clamp 125 is arranged between the support bar 123 and the sliding bar 124.
[0044] The support bar 123 is fixed on the mounting block 122 to provide support for the simulation bar 109 and to serve as a guide for the sliding bar 124. The sliding bar 124 is slidably connected to the support bar 123 and can slide on the support bar 123 to change the spacing, so that BAR bars of different widths can be simulated. The clamp 125 is used to fix the relative distance between the support bar 123 and the sliding bar 124.
[0045] The simulation bar 109 further includes an adjusting screw 126 , which is rotatably connected to the support bar 123 and is threadedly connected to the sliding bar 124 .
[0046] The adjusting screw 126 is rotatably connected to the supporting bar 123 and is threadedly connected to the sliding bar 124 to fine-tune the position of the sliding bar 124 to achieve precise positioning.
[0047] The simulation bar 109 further includes a ruler 127 , and the ruler 127 is disposed on one side of the sliding bar 124 .
[0048] The ruler 127 is disposed on one side of the sliding bar 124 to intuitively display the moving distance of the sliding bar 124 , facilitating accurate measurement and adjustment.
[0049] The clamp 125 includes two clamping blocks 128, a fixing screw 129, a spring 130 and a guide rod 131. The support bar 123 has a first rod, and the sliding bar 124 has a second rod. The two clamping blocks 128 are slidably arranged on one side of the first rod and the second rod. The fixing screw 129 is threadedly connected to the clamping blocks 128. The spring 130 and the guide rod 131 are arranged between the two clamping blocks 128.
[0050] Two clamping blocks 128 are respectively slidably arranged on one side of the first rod of the support bar 123 and the second rod of the sliding bar 124, and are used to simulate the clamping action of the clamp. The set screw is threadedly connected to the clamping block 128, and is used to adjust the position of the clamping block 128 to ensure the stability of the simulated bar 109 when it contacts the BAR bar clamp. The spring 130 is arranged between the two clamping blocks 128 to provide elastic force to ensure that the clamping block 128 can smoothly fit the simulated bar 109 and improve the clamping effect. The guide rod 131 is arranged between the two clamping blocks 128 to limit the moving direction of the clamping block 128 and prevent the clamping block 128 from offsetting during the clamping process.
[0051] The judgment component 103 includes a data acquisition unit 132, a data processing unit 133 and a judgment unit 134. The data acquisition unit 132 is used to acquire sensor data; the data processing unit 133 is used to convert the sensor data into detection data; and the judgment unit 134 is used to compare the detection data with the standard data range.
[0052] The data acquisition unit 132 reads the original signals from various sensors (such as the pressure sensor 110 and the distance sensor 111) in the detection component 102. These signals are usually in the form of electrical signals, representing the physical state parameters of the BAR bar clamp when working, such as the magnitude of the clamping force and the distance between the clamp and the analog bar 109. The function of the data processing unit 133 is to convert and process the original signals obtained from the data acquisition unit 132, and convert them into digital detection data that can be directly used for analysis and comparison. This process may involve steps such as signal amplification, filtering, analog-to-digital conversion (A / D conversion) and data formatting. For example, the original voltage signal needs to be converted into a specific numerical value, such as Newton (N) to represent pressure, or millimeters (mm) to represent distance. In addition, the data processing unit 133 also removes noise to ensure the accuracy and reliability of the data. The judgment unit 134 is a key part of the judgment component 103. It receives the processed detection data and compares it with a preset standard data range. These standard data ranges are formulated based on the design specifications and performance requirements of the BAR bar clamp to ensure that the working state of the clamp meets the established quality standards. The judgment unit 134 checks whether the detection data falls within the allowed range through algorithm calculation, so as to judge whether the working state of the clamp is normal.
[0053] The algorithm of the judgment unit 134 may include a simple threshold comparison, that is, if the detection data exceeds or falls below a certain threshold, it is judged to be abnormal; more complex statistical analysis methods, such as mean value, standard deviation, etc., may also be used to evaluate the fluctuation of the data and determine whether there is a trend change or abnormal pattern.
[0054] In addition, the judgment unit 134 can also use machine learning technology to train models based on historical data to identify more subtle performance changes or potential precursors to failures, thereby improving the accuracy and predictability of judgments.
[0055] In the whole process, the data acquisition unit 132 first captures the original signal of the sensor, and then the data processing unit 133 processes and transforms these signals to generate clear detection data. Finally, the judgment unit 134 compares these detection data with the standard data range to evaluate the working status of the BAR bar clamp. If necessary, it will trigger the corresponding warning or control signal to notify the operator or control system to take appropriate actions to maintain the normal operation of the equipment and production quality.
[0056] Second embodiment
[0057] See also Figure 8 The present invention provides an intelligent detection method for a BAR bar fixture, comprising:
[0058] S201: placing the BAR bar fixture to be tested on the fixing table 106 and fixing it;
[0059] In the first step of the testing process, the staff needs to place the BAR bar fixture to be tested on a specially designed fixing table 106. The fixing table 106 is usually equipped with a precise positioning device and a stable clamping mechanism to ensure that the BAR bar fixture remains absolutely still during the testing process to avoid any slight displacement that affects the accuracy and repeatability of the test. After the fixation is completed, the fixture is firmly locked in the predetermined position, providing a stable foundation for the subsequent testing steps.
[0060] S202: Start the transverse moving member 107 and the longitudinal moving member 108 to drive the simulation bar 109 into the BAR bar fixture;
[0061] Next, the system automatically starts the lateral moving part 107 and the longitudinal moving part 108, which work together to accurately control the position of the simulated bar 109 so that it can enter the BAR bar fixture accurately. This process relies on high-precision servo motors and linear guides to ensure that the simulated bar 109 can achieve sub-millimeter positioning accuracy in both the lateral and longitudinal directions. The shape and size of the simulated bar 109 strictly simulate the characteristics of the actual workpiece in order to truly reflect the working state of the BAR bar fixture in the actual production environment.
[0062] S203 clamps the simulation bar 109 through the BAR bar furniture, and collects clamping force data and clamping distance data through the pressure sensor 110 and the distance sensor 111;
[0063] When the simulation bar 109 is fully in place, the BAR bar clamp will perform a clamping action, and the simulation bar 109 will be tightly clamped. At this time, the pressure sensor 110 and the distance sensor 111 embedded in the clamp start to work, monitoring and recording the clamping force data and the clamping distance data in real time. The pressure sensor 110 can measure the magnitude of the force applied by the clamp on the simulation bar 109, while the distance sensor 111 is used to measure the distance between the two contact surfaces of the clamp. These two sets of data are crucial for evaluating the performance of the clamp.
[0064] S204: judging the working state of the BAR bar clamp through the judging component 103 based on the clamping force data and the clamping distance data.
[0065] In the last step, the system passes the collected clamping force data and clamping spacing data to the judgment component 103 for analysis. The judgment component 103 usually contains advanced data analysis algorithms, which can quickly compare these data with the preset standard data range to evaluate whether the working state of the BAR bar clamp meets the design requirements. Once an abnormality is found, the system will immediately issue an alarm to remind the operator to perform maintenance or replacement in time, thereby avoiding possible failures and delays on the production line.
[0066] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.
Claims
1. An intelligent detection system for BAR clamps, characterized in that: It includes a supporting component, a detecting component and a judging component, wherein the supporting component includes a base, a supporting frame and a fixing platform, the supporting frame is fixedly connected to the base and is located on the top of the base, the fixing platform is arranged on the supporting frame, the detecting component includes a transverse moving part, a longitudinal moving part, a simulation bar, a pressure sensor and a distance sensor, the transverse moving part is slidingly arranged on the top of the fixing platform, the longitudinal moving part is slidingly arranged below the transverse moving part, the simulation bar is arranged on the longitudinal moving part, the pressure sensor and the distance sensor are arranged on the simulation bar, and the judging component is used to obtain the detection data of the pressure sensor and the distance sensor to judge the working state of the BAR bar clamp.
2. The intelligent detection system for BAR clamps according to claim 1, characterized in that: The fixed platform comprises a platform body, a supporting block, a fixing block and a fixing cylinder. The supporting block is fixed on the platform body. The fixing block is slidably arranged on the platform body. The output end of the fixing cylinder is connected to the fixing block.
3. An intelligent detection system for BAR clamps as claimed in claim 2, characterized in that: The fixing table further includes a return spring, and the return spring is arranged between the fixing block and the fixing cylinder.
4. The intelligent detection system for BAR clamps according to claim 3, characterized in that: The transverse moving member includes a support rod, a sliding block, a driving motor and a screw rod. The support rod is fixed on the platform. The sliding block is slidably connected to the support rod and is located on one side of the support rod. The screw rod is threadedly connected to the sliding block. The output end of the driving motor is fixedly connected to the screw rod.
5. The intelligent detection system for BAR clamps according to claim 4, characterized in that: The longitudinal moving member comprises a driving cylinder and a mounting block. The driving cylinder is fixed on the sliding block, and the mounting block is fixedly connected to the output end of the driving cylinder.
6. The intelligent detection system for BAR clamps according to claim 5, characterized in that: The simulation bar includes a support bar, a sliding bar and a clamp, the support bar is fixed on the mounting block, the sliding bar is slidably connected to the support bar and is located on one side of the support bar, and the clamp is arranged between the support bar and the sliding bar.
7. An intelligent detection system for BAR clamps as claimed in claim 6, characterized in that: The simulation bar also includes an adjusting screw, which is rotatably connected to the support bar and is threadedly connected to the sliding bar.
8. An intelligent detection system for BAR clamps as claimed in claim 7, characterized in that: The simulation bar further includes a ruler, and the ruler is arranged on one side of the sliding bar.
9. An intelligent detection method for a BAR bar clamp, using an intelligent detection system for a BAR bar clamp according to any one of claims 1 to 8, characterized in that: include: Place the BAR bar fixture to be tested on the fixing table and fix it; Start the transverse moving member and the longitudinal moving member to drive the simulation bar into the BAR bar fixture; The simulated bar is clamped by BAR bar furniture, and the clamping force data and clamping distance data are collected by pressure sensors and distance sensors; The working state of the BAR bar clamp is judged by the judging component based on the clamping force data and the clamping distance data.