Stair stool static load test machine and method

Abstract

The invention discloses a bench static load test machine and method. The bench static load test machine comprises a base and a conveying assembly arranged on the base. The support assembly is provided with a lifting assembly in the vertical direction. The pressure testing mechanism is arranged at the driving end of the lifting assembly, the pressure testing mechanism comprises a hydraulic driving assembly and a mounting plate, and a bionic pressing assembly is arranged on the lower end face of the mounting plate; a spoke type sensor is arranged between the hydraulic push rod and the mounting plate; the display assembly is arranged at one side part of the bracket assembly and is used for providing detection data and touch operation control; after the step stool is placed on the conveying assembly for carrying and starting testing, the lifting assembly drives the pressure testing mechanism to move downwards, the hydraulic driving assembly pushes the mounting plate, the bionic pressing assembly is attached to step gears of the step stool to simulate foot pressure distribution of a human body, and the spoke type sensor monitors a pressure value in real time and feeds back the pressure value to the control system. Mechanical distortion and process out-of-control are avoided through full-automatic closed-loop control, and accurate detection of the static load of the ladder stool is achieved.

Description

Technical Field

[0001] This invention relates to the field of testing technology, and in particular to a ladder bench static load test machine and method. Background Technology

[0002] In the field of power engineering construction and equipment maintenance, ladders are indispensable safety tools for working at heights, and their structural strength is directly related to the personal safety of operators. To ensure reliability, relevant standards such as DL / T 1476-2023 "Preventive Testing Procedures for Power Safety Tools" clearly stipulate that ladders must undergo static load tests periodically to simulate the maximum load when a person stands on them, in order to verify the deformation, damage, or failure of their load-bearing components (ladder frame, rungs). Therefore, accurate, efficient, and safe static load testing equipment is of great practical significance for ensuring the safety of power operations.

[0003] The current industry standard for static load testing of ladder benches primarily relies on traditional manual operation, which involves stacking weights of varying weights on the bench steps to simulate load. However, this approach has a fundamental drawback: it cannot accurately simulate the mechanical state of real-world working conditions, resulting in low reliability of test results. Specifically, the weights, as concentrated or discrete static weight loads, cannot replicate the dynamic pressure distribution and gradual loading process generated by the feet of workers standing and moving in actual combat. Furthermore, the impact-driven stacking contradicts the requirements of "static load." This structural mismatch and distortion in mechanical simulation makes it difficult for test results to accurately reflect the performance limits and potential risks of the ladder bench in actual use. This constitutes the core technical flaw of traditional testing methods and a fundamental obstacle to improving testing standardization and the reliability of results.

[0004] Therefore, it is necessary to improve the existing ladder bench static load test method to solve the technical problems of inaccurate and distorted static load force application caused by the weight loading method. Summary of the Invention

[0005] The purpose of this invention is to provide a ladder bench static load test machine and method to solve the above-mentioned technical problems.

[0006] To achieve this objective, the present invention adopts the following technical solution: A ladder bench static load test machine includes: A base, and a conveying assembly disposed on the base; A support assembly, wherein a lifting component is provided along the vertical direction; A pressure testing mechanism is provided at the drive end of the lifting assembly. The pressure testing mechanism includes a hydraulic drive assembly and a mounting plate provided at one end of the hydraulic push rod of the hydraulic drive assembly. A bionic pressing assembly is provided on the lower end surface of the mounting plate. A spoke-type sensor is provided between the hydraulic push rod and the mounting plate. A display component, disposed on one side of the bracket assembly, is used to provide detection data and touch operation control.

[0007] Optionally, the support assembly includes two spaced-apart columns, and the top of each column is provided with a top plate and a top cover; The column has an installation groove along the vertical direction, a guide column is installed in the installation groove, and a crossbeam is slidably connected to the guide column, wherein the pressure testing mechanism is installed on the crossbeam; The lifting assembly is installed in the mounting slot, and the driving end of the lifting assembly is connected to the crossbeam to drive the crossbeam to slide along the guide column.

[0008] Optionally, the display component includes a connecting rod mounted on one side of the bracket assembly, the connecting rod having a rotating joint, and one end of the rotating joint having a display screen.

[0009] A method for static load testing of a ladder bench, implemented using the ladder bench static load testing machine described above, specifically includes: Start the equipment self-test program, calibrate the zero point of the spoke sensor, load the test procedure parameters through the display component, and generate the pressure loading rate curve and critical deformation threshold. The conveying component transports the stool under test to the test position, and the lifting component adjusts the height of the bionic pressing component. Based on the contour scanning data of the stool under test, the contact point partitions are divided, and the critical deformation threshold is reused to set the pressure upper limit of each contact point partition, thereby generating a contact point pressure distribution model. The hydraulic drive component applies pressure according to the pressure loading rate curve, the spoke sensor collects pressure data in real time, and the bionic pressing component dynamically adjusts the zone pressure according to the contact pressure distribution model, synchronously calculates real-time deformation data and triggers overload protection. After reaching the target pressure value, the pressure holding stage begins. Based on real-time pressure data, pressure fluctuations are dynamically compensated through PID control and LSTM prediction model, and the real-time deformation data is reused to monitor structural failure. The hydraulic drive component is depressurized according to the preset unloading mode, the conveying component is removed from the ladder stool, and the real-time pressure data and deformation data are integrated to generate a test report, marking the structural failure warning conclusion.

[0010] Optionally, the initiation of the device self-test program, calibration of the spoke sensor zero point, loading of test procedure parameters through the display component, and generation of pressure loading rate curve and critical deformation threshold specifically include: Start the equipment self-test program: The control module initializes the system and sequentially verifies the displacement accuracy of the conveying component, the sealing performance of the hydraulic drive component, and the contact response status of the bionic pressing component, and generates a self-test report; The zero point of the spoke sensor is calibrated by acquiring the initial voltage signal of the spoke sensor under no-load conditions, fitting the zero-point drift curve based on the least squares method, outputting the calibration coefficient, and updating the sensor reference value. By inputting the material type and test standard code of the ladder stool through the display component, the pre-stored parameter library is called to extract the target pressure value k, holding time and material elastic modulus parameter set; The critical deformation threshold is calculated based on the set of elastic modulus parameters of the material, and a pressure-time function F(t) = k•(1-e^(-t / t)) is established in combination with the response characteristics of the hydraulic system. -t / τ The curve of ) is used as the pressure loading rate curve; where t is the real-time time variable of the pressure loading process and τ is the time constant of hydraulic drive.

[0011] Optionally, the hydraulic drive component applies pressure according to the pressure loading rate curve, the spoke-type sensor collects pressure data in real time, and the bionic pressing component dynamically adjusts the zoned pressure according to the contact pressure distribution model, synchronously calculates real-time deformation data, and triggers overload protection, specifically including the following steps: The hydraulic drive component outputs a real-time pressure command value according to the pressure loading rate curve. The spoke-type sensor acquires the actual pressure value Fa with a preset sampling period, and the partition pressure sensor of the bionic pressing component synchronously collects the partition pressure Fi of each contact point; The pressure deviation ΔF = Fa - F(t) is calculated, and the partition compensation amount ΔFi is generated by combining the contact pressure distribution model to drive the bionic pressing component to adjust the hydraulic output of each partition.

[0012] Optionally, after the drive bionic pressing component adjusts the hydraulic output of each zone, it further includes: Real-time deformation calculation: Based on the zoned pressure Fi and the material elastic modulus E, the real-time deformation δi(t) of each contact point is calculated according to the deformation formula δi(t)=∑Fi(t) / (E•Ai), where Ai is the equivalent pressure-bearing area of ​​the contact point; If δi(t) > δt or ΔF > 10%k, overload protection is triggered; where δt is the critical deformation threshold. Bind timestamps and store Fa, δi(t) and partition compensation ΔFi to generate a real-time pressure-deformation dataset.

[0013] Optionally, after reaching the target pressure value, a pressure holding phase is entered. Based on real-time pressure data, pressure fluctuations are dynamically compensated through PID control and an LSTM prediction model. The real-time deformation data is reused to monitor structural failures. Specifically, this includes: When the spoke sensor detects an actual pressure value Fa≥0.99k, the control module switches to pressure holding mode and initializes the PID control parameters (Kp, Ki, Kd) and LSTM prediction window Tw; where Kp is the proportional gain coefficient, Ki is the integral gain coefficient, and Kd is the derivative gain coefficient. PID real-time compensation: The output u(t) is calculated as u(t) = Kp*e(t) + Ki*∫e(t)dt + Kd*de(t) / dt based on the pressure deviation e(t) = k - Fa, and the hydraulic output is dynamically adjusted; where de(t) is the derivative of the pressure deviation e(t); LSTM trend prediction: Using real-time pressure-deformation dataset as input, predict the pressure drift ΔFp within the next Tw seconds and pre-compensate it to the PID instruction.

[0014] Optionally, the step of predicting the pressure drift ΔFp within the next Tw seconds and pre-compensating it to the PID instruction further includes: The reused real-time deformation data δi(t) is used to calculate the deformation gradient ▽δi=[δi(t)-δi(t-Δt)] / Δt. If ▽δi>δt′, the structure is marked as failed. Here, Δt is the sampling interval, and δt′ is the material creep threshold. Here, δi(t-Δt) is the deformation of contact partition i at the previous sampling time. Record the PID compensation value u(t), LSTM prediction value ΔFp, and failure flags to generate a pressure holding process log.

[0015] Compared with the prior art, the present invention has the following beneficial effects: After the equipment is started, the operator turns on the power and performs a system self-check to confirm that the servo device, spoke-type sensor, display component, and conveyor component are operating normally; then the ladder stool is placed at the starting position of the conveyor component, and the conveyor belt automatically transports it to the preset test position and accurately positions it through infrared sensing; test parameters are set through the touch screen of the display component; after the test is started, the lifting component drives the pressure testing mechanism to move down, the hydraulic drive component pushes the mounting plate, and the bionic pressing component fits the ladder stool steps to simulate the human foot pressure distribution. The spoke-type sensor monitors the pressure value in real time and feeds it back to the control system, forming a closed-loop regulation to ensure accurate loading and stable load maintenance; the data of the entire test is displayed / stored in real time; after completion, the equipment automatically unloads and lifts, the conveyor component sends the ladder stool out, the system resets and waits for the next test, and the fully automatic closed-loop control avoids mechanical distortion and process loss of control, realizing accurate detection of the static load of the ladder stool. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] The structures, proportions, sizes, etc., shown in the accompanying drawings of this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed in the specification, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0018] Figure 1 This is a schematic diagram of the ladder bench static load test machine in this embodiment. Figure 2 This is a schematic diagram of the main testing body of the ladder bench static load tester in this embodiment. Figure 3 This is a front view schematic diagram of the main testing body of the ladder bench static load tester in this embodiment 1; Figure 4 This is a flowchart illustrating the static load test method for the ladder bench in Embodiment 2.

[0019] Illustration: Base 10, conveying assembly 20, support assembly 30, pressure testing mechanism 40, hydraulic drive assembly 50, hydraulic push rod 51, mounting plate 60, bionic pressing assembly 70, spoke-type sensor 80, display assembly 90, column 31, top cover 32, mounting groove 33, guide column 34, crossbeam 35, connecting rod 91, rotating joint 92, display screen 93, test bench 100. Detailed Implementation

[0020] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0021] In the description of this invention, it should be understood that the terms "upper," "lower," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. It should be noted that when a component is considered to be "connected" to another component, it can be directly connected to the other component or there may be a component positioned centrally in the connection.

[0022] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0023] Example 1: Combination Figures 1 to 3 As shown, an embodiment of the present invention provides a ladder bench static load test machine, comprising: The system includes a base 10 and a conveyor assembly 20 mounted on the base 10. The base 10 forms a rigid support platform for the equipment, and its top integrates a tracked conveyor assembly 20. This assembly is driven by a servo motor, has a conveyor bandwidth of 800mm, and uses infrared sensing technology to detect the position of the ladder stool in real time. During the workflow, the operator only needs to place the ladder stool 100 to be tested at the beginning of the conveyor belt, and the system will automatically transport it to the preset test station and accurately position it, replacing traditional manual handling.

[0024] The support assembly 30 has a vertically mounted lifting component. The support assembly 30 is vertically fixed to the base 10 and integrates the lifting component internally. The lifting component uses a servo motor-driven lead screw mechanism, which can precisely adjust the height of the pressure testing mechanism 40 in the vertical direction to accommodate the testing needs of different sized step stools. This component, in conjunction with the positioning function of the conveyor system, ensures accurate alignment between the bionic pressing component 70 and the step stool treads.

[0025] The pressure testing mechanism 40 is located at the drive end of the lifting assembly. The pressure testing mechanism 40 includes a hydraulic drive assembly 50 and a mounting plate 60 located at one end of the hydraulic push rod 51 of the hydraulic drive assembly 50. A bionic pressing assembly 70 is provided on the lower end surface of the mounting plate 60. A spoke-type sensor 80 is provided between the hydraulic push rod 51 and the mounting plate 60.

[0026] It should be noted that the lower end of the mounting plate 60 of the bionic pressing component 70 is equipped with a multi-point independent pressure head array, and the contour of its contact surface matches the curved surface of the step, ensuring that the pressure distribution conforms to the real human standing posture.

[0027] Display component 90, located on one side of bracket assembly 30, provides detection data and touch operation control. Display component 90 uses an LCD touchscreen as the human-machine interface and is integrated into the cantilever box on the side of the bracket. It performs three main functions: Parameter settings: Built-in DL / T 1476-2023 standard preset template, supports one-click input of 1765N test force and 5-minute holding time; Dynamic monitoring: Real-time display of pressure-time curve, current force value, and remaining load holding time; Data management: Automatically stores test results and generates exportable test reports.

[0028] The working principle of this invention is as follows: After the equipment is started, the operator turns on the power and performs a system self-check to confirm that the servo device, spoke sensor 80, display component 90, and conveyor component 20 are operating normally. Then, the stool to be tested 100 is placed at the starting position of the conveyor component 20, and the conveyor belt automatically transports it to the preset test position and accurately positions it through infrared sensing. The test parameters (1765N static load force, 5-minute holding time) are set through the touch screen of the display component 90. After the test is started, the lifting component drives the pressure testing mechanism 40 to move down, the hydraulic drive component 50 pushes the mounting plate 60, and the bionic pressing component 70 conforms to the stool step to simulate the human foot pressure distribution. The spoke sensor 80 monitors the pressure value in real time and feeds it back to the control system to form a closed-loop regulation to ensure accurate loading and stable holding of the force. The data of the entire test is displayed / stored in real time. After completion, the equipment automatically unloads and lifts, the conveyor component 20 sends out the stool to be tested 100, and the system resets to wait for the next test. The fully automatic closed-loop control avoids mechanical distortion and process loss of control, and realizes accurate detection of the static load of the stool.

[0029] In this embodiment, the support assembly 30 specifically includes two spaced columns 31, with a top plate and a top cover 32 at the top of each column 31. Each column 31 has a vertically oriented mounting groove 33, within which a guide column 34 is installed. A crossbeam 35 is slidably connected to the guide column 34, and a pressure testing mechanism 40 is mounted on the crossbeam 35. A lifting assembly is installed within the mounting groove 33, and its drive end is connected to the crossbeam 35 to drive the crossbeam 35 to slide along the guide column 34.

[0030] It should be noted that the top plate at the top of the column 31 and the top cover 32 form a closed protective zone to prevent external interference; the combined design of the guide column 34 and the sliding crossbeam 35 in the mounting groove 33 achieves the vertical positioning of the pressure testing mechanism 40—the lifting component drives the crossbeam 35 to slide smoothly along the guide column 34 via a servo motor, eliminating the risk of offset during traditional manual adjustment. The pressure testing mechanism 40 is rigidly installed at the center of the crossbeam 35 to ensure the coaxiality of the bionic pressing component 70 applying force to the step stool.

[0031] In this embodiment, the display component 90 includes a connecting rod 91 mounted on one side of the bracket component 30. A rotating joint 92 is provided on the connecting rod 91, and a display screen 93 is provided at one end of the rotating joint 92.

[0032] The display component 90 is cantilevered to the side of the bracket via a connecting rod 91. The multi-degree-of-freedom rotary joint 92 supports 360° planar adjustment of the display screen 93 on its horizontal rotation axis and provides ±90° tilt angle adaptation on its pitch axis, allowing operators to clearly monitor touch screen data from any standing position.

[0033] Example 2: Combination Figure 4 As shown, the present invention also provides a method for static load testing of a ladder bench, which is implemented using the ladder bench static load testing machine as described in Example 1. The testing method specifically includes: S1, start the equipment self-test program, calibrate the zero point of the spoke sensor 80, load the test procedure parameters through the display component 90, and generate the pressure loading rate curve and critical deformation threshold.

[0034] System reliability is ensured through equipment self-testing, and zero-point calibration of the spoke-type sensor 80 eliminates initial errors. The key breakthrough lies in the fact that the display component 90 has a built-in parameter library of DL / T 1476-2023, which can load a target load of 1765N, a 5-minute holding time, and a preset loading rate curve with one click, generating a critical deformation threshold to provide a benchmark for subsequent failure monitoring.

[0035] S2, the conveying component 20 conveys the test bench 100 to the test position, and the lifting component adjusts the height of the bionic pressing component 70; based on the contour scanning data of the test bench, the contact points are divided into zones, and the critical deformation threshold is reused to set the pressure upper limit of each contact point zone, thereby generating a contact pressure distribution model.

[0036] The tracked conveyor system automatically positions the step stools, and the lifting component adjusts the biomimetic pressing height to adapt to different step shapes (related to the lifting mechanism design). Based on the contour scanning contact point partitioning model, the critical deformation threshold is dynamically distributed to the upper limit of each contact point partition (e.g., the pressure upper limit of the edge area of ​​the step is lower than that of the center area), so that the load force distribution completely simulates the human standing posture, while avoiding local overload damage.

[0037] S3, the hydraulic drive component 50 applies pressure according to the pressure loading rate curve, the spoke sensor 80 collects pressure data in real time, the bionic pressing component 70 dynamically adjusts the zone pressure according to the contact pressure distribution model, synchronously calculates real-time deformation data and triggers overload protection.

[0038] The hydraulic drive component 50 applies pressure strictly according to a preset curve, and the spoke sensor provides real-time feedback to form a closed-loop force value. It has two key functions: the bionic pressing component 70 dynamically distributes pressure, with each zone independently fine-tuning the pressure to match the contact model; and real-time deformation calculation and overload protection, calculating the deformation rate of the stool using displacement sensor data to trigger an emergency stop to prevent damage.

[0039] S4, after reaching the target pressure value, enters the pressure holding stage. Based on real-time pressure data, pressure fluctuations are dynamically compensated through PID control and LSTM prediction model, and real-time deformation data is reused to monitor structural failure.

[0040] During the pressure holding stage, a dual-mode control of PID+LSTM is adopted: PID control is based on the data of the wheel spoke sensor to compensate for instantaneous pressure drift in real time; the LSTM prediction model learns the historical fluctuation characteristics to predict the pressure decay trend and outputs compensation commands in advance (breaking through the lag of traditional PID), and simultaneously monitors structural anomalies (such as sudden changes in deformation rate) in real time through deformation data.

[0041] S5, the hydraulic drive component 50 is depressurized according to the preset unloading mode, the conveying component 20 is removed from the ladder stool, and the real-time pressure data and deformation data are integrated to generate a test report and mark the structural failure warning conclusion.

[0042] The working principle of this invention is as follows: After the equipment self-test is started and the procedure parameters are preloaded, the conveying component 20 positions the ladder stool to the test position and generates a contact pressure distribution model based on contour scanning; the hydraulic drive component 50 applies pressure at a preset rate, and the bionic pressing component 70 dynamically adjusts the zone pressure and monitors the deformation in real time; after the target pressure is reached, the fluctuation compensation and structural failure early warning of the pressure holding stage are realized through PID-LSTM joint control; the pressure is intelligently depressurized and the pressure-deformation data is integrated to generate a test report; through the deep integration of the bionic pressure distribution model and intelligent closed-loop control, the entire process of static load testing is made accurate, automated and standardized, while ensuring that the test conditions are equivalent to the real use scenario.

[0043] In this embodiment, step S1 specifically includes: S11, Start the equipment self-test program: The control module initializes the system, sequentially checks the displacement accuracy of the conveying component 20, the sealing performance of the hydraulic drive component 50, and the contact response status of the bionic pressing component 70, and generates a self-test report.

[0044] It should be noted that the bionic pressing component activates the pressure microsensor point by point with 70 contact points to verify contact feedback (supporting subsequent zoned pressure control). The self-test report generates anomaly codes (such as hydraulic leakage code E01) to prevent the test from starting under fault conditions.

[0045] S12, calibrate the zero point of the spoke sensor 80, acquire the initial voltage signal of the spoke sensor 80 under no-load conditions, fit the zero-point drift curve based on the least squares method, output the calibration coefficient and update the sensor reference value.

[0046] To address the temperature and time drift characteristics of the spoke-type sensor 80: A 10-second raw voltage signal was acquired under zero-load conditions on the hydraulic push rod 51; the drift curve was fitted using the least squares method to eliminate linear / nonlinear interference components (such as circuit noise); calibration coefficients were output and the reference zero point was reset. This eliminated the sensor's fundamental error and ensured the measurement accuracy of the subsequent 1765N load.

[0047] S13, by inputting the ladder stool material type and test standard code through the display component 90, calling the pre-stored parameter library, and extracting the target pressure value k, holding time and material elastic modulus parameter set; Parameter input is performed via the touchscreen: material type selection, built-in elastic modulus tables for steel / composite materials, etc. (essential parameters for preventive testing). The test standard code is invoked, and the corresponding code "TL-2023" in DL / T 1476-2023 is used to apply a target pressure of k=1765N and a holding time of 5min. Output: A set of elastic modulus parameters {E, ν, σ_y} (elastic modulus / Poisson's ratio / yield strength), providing input for deformation threshold calculation.

[0048] S14, calculate the critical deformation threshold based on the material's elastic modulus parameter set, and establish the pressure-time function F(t) = k•(1-e) based on the hydraulic system response characteristics. -t / τ The curve of ) is used as the pressure loading rate curve; where t is the real-time time variable of the pressure loading process and τ is the time constant of hydraulic drive.

[0049] It should be noted that the maximum allowable deformation δc = (σ_y*L) is calculated based on the material parameter set. 2 ) / (E*h), using the first-order response model number of the hydraulic system F(t)=k•(1-e -t / τ ), τ is obtained from the actual measurement of cylinder volume / oil pump flow, δc constrains the failure boundary, F(t) ensures progressive loading (eliminating the impact of weights), and jointly ensures the biomimeticity and safety of the experiment.

[0050] In this embodiment, step S3 specifically includes the following steps: S31, the hydraulic drive component 50 outputs real-time pressure command values ​​according to the pressure loading rate curve; the hydraulic drive component 50 discretizes the pressure loading rate curve F(t) generated in S1 into a millisecond-level pressure command sequence. The servo controller adjusts the oil pump flow rate in real time according to the command values ​​to ensure that the loading process strictly follows the preset curve, thereby avoiding the impact problem of traditional weight stacking from the root.

[0051] S32, the spoke-type sensor 80 acquires the actual pressure value Fa with a preset sampling period, and the partition pressure sensor of the bionic pressing component 70 synchronously collects the partition pressure Fi of each contact point; The spoke-type sensor 80 acquires the overall pressure Fa (global load) at a preset sampling period; the bionic pressing component 70 has a built-in zoned pressure sensor that synchronously acquires the pressure Fi (local load) at each contact point. This design simultaneously satisfies the dual objectives of overall pressure application accuracy control (spoke sensor) and pressure distribution optimization (zoned sensing).

[0052] S33, calculate the pressure deviation ΔF=Fa-F(t), combine it with the contact pressure distribution model to generate the partition compensation amount ΔFi, and drive the bionic pressing component 70 to adjust the hydraulic output of each partition.

[0053] Real-time calculation of the overall pressure deviation ΔF reflects the hydraulic execution error; based on the contact pressure distribution model, ΔF is weighted and distributed to each zone to generate a zone compensation amount ΔFi (e.g., the compensation amount in the center zone is greater than that in the edge zone); the bionic pressing component 70 independently adjusts the hydraulic output of each contact point (controlled by a micro servo valve) to ensure that the zone pressure distribution always closely resembles the real human standing mode.

[0054] S34, Real-time Deformation Calculation: Based on the zoned pressure Fi and the material elastic modulus E, the real-time deformation δi(t) of each contact point is calculated according to the deformation formula δi(t)=∑Fi(t) / (E•Ai), where Ai is the equivalent pressure-bearing area of ​​the contact point; The equivalent bearing area Ai of the contact point is automatically generated from the treadle scanning data. The algorithm dynamically outputs the deformation of each contact point, providing a quantitative basis for structural failure early warning.

[0055] S35, if δi(t)>δt or ΔF>10%k, overload protection is triggered; where δt is the critical deformation threshold; when either condition is triggered, the hydraulic system performs millisecond-level pressure relief and emergency stop, completely preventing structural damage to the ladder bench.

[0056] S36 binds timestamps and stores Fa, δi(t), and partition compensation amount ΔFi to generate a real-time pressure-deformation dataset. This enables synchronous tracing of the pressure-deformation curve; root cause analysis of abnormal events (such as sudden increases in compensation amount); and provides a complete data base for S5 to generate the test report.

[0057] In this embodiment, step S4 specifically includes: S41, when the spoke sensor 80 detects the actual pressure value Fa≥0.99k, the control module switches to the pressure holding mode and initializes the PID control parameters (Kp, Ki, Kd) and LSTM prediction window Tw; where Kp is the proportional gain coefficient, Ki is the integral gain coefficient, and Kd is the derivative gain coefficient. The PID parameters are configured based on the preset experimental parameters (Kp, Ki, Kd) for the first-order response of the hydraulic system to ensure rapid convergence. The LSTM prediction window Tw is set based on historical data to statistically determine the pressure holding decay period (Tw=20s) and match the pressure drift characteristics. The threshold triggering mechanism (0.99k) ensures a smooth transition between loading and holding pressure, avoiding the deviations of traditional manual timing.

[0058] S42, PID real-time compensation: The output u(t) is calculated as u(t) = Kp*e(t) + Ki*∫e(t)dt + Kd*de(t) / dt based on the pressure deviation e(t) = k - Fa, and the hydraulic output is dynamically adjusted; where de(t) is the derivative of the pressure deviation e(t); The differential term Kd*de(t) / dt suppresses sudden fluctuations (such as hydraulic oil temperature drift), and the integral term eliminates steady-state errors (solving the problem of pressure holding value decay).

[0059] LSTM trend prediction: Using real-time pressure-deformation dataset as input, it predicts the pressure drift ΔFp within the next Tw seconds and compensates it in advance to the PID instruction to achieve advance compensation (overcoming PID lag).

[0060] S43, reuse the real-time deformation data δi(t), calculate the deformation gradient ▽δi=[δi(t)-δi(t-Δt)] / Δt, if ▽δi>δt′ then mark the structure as failed; where Δt is the sampling interval, δt′ is the material creep threshold; where δi(t-Δt) is the deformation of contact partition i at the previous sampling time; It should be noted that the system marks the failure zone and triggers an early warning. Compared with static deformation monitoring, dynamic gradient analysis can identify hidden damage.

[0061] S44 records the PID compensation value u(t), LSTM prediction value ΔFp, and failure flags, generating a pressure holding process log to facilitate tracing control behavior and failure events during the pressure holding phase.

[0062] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A ladder bench static load tester, characterized in that, include: A base, and a conveying assembly disposed on the base; A support assembly, wherein a lifting component is provided along the vertical direction; A pressure testing mechanism is provided at the drive end of the lifting assembly. The pressure testing mechanism includes a hydraulic drive assembly and a mounting plate provided at one end of the hydraulic push rod of the hydraulic drive assembly. A bionic pressing assembly is provided on the lower end surface of the mounting plate. A spoke-type sensor is provided between the hydraulic push rod and the mounting plate. A display component, disposed on one side of the bracket assembly, is used to provide detection data and touch operation control.

2. The ladder bench static load test machine according to claim 1, characterized in that, The support assembly includes two spaced-apart columns, and the top of each column is provided with a top plate and a top cover; The column has an installation groove along the vertical direction, a guide column is installed in the installation groove, and a crossbeam is slidably connected to the guide column, wherein the pressure testing mechanism is installed on the crossbeam; The lifting assembly is installed in the mounting slot, and the driving end of the lifting assembly is connected to the crossbeam to drive the crossbeam to slide along the guide column.

3. The ladder bench static load test machine according to claim 1, characterized in that, The display component includes a connecting rod installed on one side of the bracket assembly, a rotating joint is provided on the connecting rod, and a display screen is provided at one end of the rotating joint.

4. A method for static load testing of a ladder bench, characterized in that, The static load test of the ladder bench as described in any one of claims 1 to 3 is used, and the test method specifically includes: Start the equipment self-test program, calibrate the zero point of the spoke sensor, load the test procedure parameters through the display component, and generate the pressure loading rate curve and critical deformation threshold. The conveying component transports the stool under test to the test position, and the lifting component adjusts the height of the bionic pressing component. Based on the contour scanning data of the stool under test, the contact point partitions are divided, and the critical deformation threshold is reused to set the pressure upper limit of each contact point partition, thereby generating a contact point pressure distribution model. The hydraulic drive component applies pressure according to the pressure loading rate curve, the spoke sensor collects pressure data in real time, and the bionic pressing component dynamically adjusts the zone pressure according to the contact pressure distribution model, synchronously calculates real-time deformation data and triggers overload protection. After reaching the target pressure value, the pressure holding stage begins. Based on real-time pressure data, pressure fluctuations are dynamically compensated through PID control and LSTM prediction model, and the real-time deformation data is reused to monitor structural failure. The hydraulic drive component is depressurized according to the preset unloading mode, the conveying component is removed from the ladder stool, and the real-time pressure data and deformation data are integrated to generate a test report, marking the structural failure warning conclusion.

5. The method for static load testing of the ladder bench according to claim 4, characterized in that, The startup device self-test program calibrates the zero point of the spoke sensor, loads test procedure parameters through the display component, and generates a pressure loading rate curve and critical deformation threshold, specifically including: Start the equipment self-test program: The control module initializes the system and sequentially verifies the displacement accuracy of the conveying component, the sealing performance of the hydraulic drive component, and the contact response status of the bionic pressing component, and generates a self-test report; The zero point of the spoke sensor is calibrated by acquiring the initial voltage signal of the spoke sensor under no-load conditions, fitting the zero-point drift curve based on the least squares method, outputting the calibration coefficient, and updating the sensor reference value. By inputting the material type and test standard code of the ladder stool through the display component, the pre-stored parameter library is called to extract the target pressure value k, holding time and material elastic modulus parameter set; The critical deformation threshold is calculated based on the set of elastic modulus parameters of the material, and a pressure-time function F(t) = k•(1-e^(-t / t)) is established in combination with the response characteristics of the hydraulic system. -t / τ The curve of ) is used as the pressure loading rate curve; where t is the real-time time variable of the pressure loading process and τ is the time constant of hydraulic drive.

6. The method for static load testing of the ladder bench according to claim 5, characterized in that, The hydraulic drive component applies pressure according to the pressure loading rate curve, the spoke-type sensor collects pressure data in real time, and the bionic pressing component dynamically adjusts the zoned pressure according to the contact pressure distribution model, synchronously calculates real-time deformation data and triggers overload protection, specifically including the following steps: The hydraulic drive component outputs a real-time pressure command value according to the pressure loading rate curve. The spoke-type sensor acquires the actual pressure value Fa with a preset sampling period, and the partition pressure sensor of the bionic pressing component synchronously collects the partition pressure Fi of each contact point; The pressure deviation ΔF = Fa - F(t) is calculated, and the partition compensation amount ΔFi is generated by combining the contact pressure distribution model to drive the bionic pressing component to adjust the hydraulic output of each partition.

7. The method for static load testing of the ladder bench according to claim 6, characterized in that, After the drive bionic pressing component adjusts the hydraulic output of each zone, it also includes: Real-time deformation calculation: Based on the zoned pressure Fi and the material elastic modulus E, the real-time deformation δi(t) of each contact point is calculated according to the deformation formula δi(t)=∑Fi(t) / (E•Ai), where Ai is the equivalent pressure-bearing area of ​​the contact point; If δi(t) > δt or ΔF > 10%k, overload protection is triggered; where δt is the critical deformation threshold. Bind timestamps and store Fa, δi(t) and partition compensation ΔFi to generate a real-time pressure-deformation dataset.

8. The method for static load testing of the ladder bench according to claim 5, characterized in that, After reaching the target pressure value, the pressure holding phase begins. Based on real-time pressure data, pressure fluctuations are dynamically compensated using PID control and an LSTM prediction model. The real-time deformation data is reused to monitor structural failures. Specifically, this includes: When the spoke sensor detects an actual pressure value Fa≥0.99k, the control module switches to pressure holding mode and initializes the PID control parameters (Kp, Ki, Kd) and LSTM prediction window Tw; where Kp is the proportional gain coefficient, Ki is the integral gain coefficient, and Kd is the derivative gain coefficient. PID real-time compensation: The output u(t) is calculated as u(t) = Kp*e(t) + Ki*∫e(t)dt + Kd*de(t) / dt based on the pressure deviation e(t) = k - Fa, and the hydraulic output is dynamically adjusted; where de(t) is the derivative of the pressure deviation e(t); LSTM trend prediction: Using real-time pressure-deformation dataset as input, predict the pressure drift ΔFp within the next Tw seconds and pre-compensate it to the PID instruction.

9. The method for static load testing of a ladder bench according to claim 8, characterized in that, The predicted pressure drift ΔFp within the next Tw seconds is pre-compensated to the PID instruction, and then the following is also included: The reused real-time deformation data δi(t) is used to calculate the deformation gradient ▽δi=[δi(t)-δi(t-Δt)] / Δt. If ▽δi>δt′, the structure is marked as failed. Here, Δt is the sampling interval, and δt′ is the material creep threshold. Here, δi(t-Δt) is the deformation of contact partition i at the previous sampling time. Record the PID compensation value u(t), LSTM prediction value ΔFp, and failure flags to generate a pressure holding process log.

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