Ergonomic adaptability laser detection system for automobile maintenance creeper

Abstract

The invention discloses an automobile maintenance creeper ergonomic adaptability laser detection system, and relates to the technical field of automobile maintenance equipment and ergonomic detection.The system comprises a creeper body, a laser detection module, a data processing module, an ergonomic database module and a feedback adjustment module; through the integrated dot matrix laser scanning unit and the pressure sensor array, synchronous and high-density acquisition of a human body three-dimensional contour and body pressure distribution is realized in a maintenance lying plate application scene, accurate contour data is acquired through laser scanning, pressure distribution data is acquired through the pressure sensor array, and the precision of the maintenance lying plate is improved. Spatial registration and fusion are carried out in data processing, a three-dimensional contour model is generated, overall scoring is further carried out through comprehensive suitability indexes, quantitative and traceable engineering parameters and judgment conclusions are output, suitability evaluation is scientific diagnosis based on objective data, and an input basis is provided for subsequent accurate adjustment.

Description

Technical Field

[0001] This invention relates to the field of automotive repair equipment and ergonomic testing technology, specifically a laser testing system for the ergonomic adaptability of an automotive repair reclining chair. Background Technology

[0002] Automotive repair reclining boards are essential tools for repair personnel performing maintenance on chassis, suspension, and other systems. Their ergonomic fit directly affects the operator's comfort, work efficiency, and long-term occupational health. Ideal fit requires the reclining board to conform to the physiological curvature of the spine of different repair personnel and evenly distribute body pressure. Currently, the structural adjustment functions of mainstream repair reclining boards on the market are extremely limited, usually only supporting manual adjustment of the overall height, and cannot achieve precise contour fit and pressure adaptation for individual user differences.

[0003] Currently, ergonomic assessments of such tools mainly rely on human experience or simple tool measurements. Common methods include manually measuring the gaps between various body parts and the bed frame using a measuring tape, or obtaining pressure data at limited points using discrete pressure-sensing pads. Among these methods, manual measurement is highly subjective, has low accuracy and poor efficiency, and cannot obtain comprehensive data in real time and continuously, especially making it difficult to quantify complex three-dimensional morphology such as spinal curvature. Simple pressure sensors can only obtain two-dimensional distributions and lack corresponding three-dimensional shape information, making it impossible to drive the bed frame to adaptively adjust in real time based on the test results.

[0004] Therefore, existing technologies suffer from bottlenecks such as subjective evaluation criteria, lack of quantitative benchmarks, and disconnect between detection and execution. There is an urgent need for an integrated system that can automatically complete high-precision three-dimensional morphology and two-dimensional pressure synchronous acquisition, perform intelligent analysis based on quantitative standards, and drive the actuator to achieve automatic adjustment, in order to solve the problem of personalized adaptation of maintenance decks. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a laser detection system for the ergonomic adaptability of automotive repair reclining chairs. This system, through an integrated dot matrix laser scanning unit and a pressure sensor array, achieves synchronous and high-density acquisition of the three-dimensional contour and body pressure distribution of the human body in the application scenario of the repair reclining chair. The laser scanning obtains accurate contour data, and the pressure sensor array obtains pressure distribution data. Spatial registration and fusion are performed in data processing to generate a three-dimensional contour model. Furthermore, an overall score is given through a comprehensive adaptability index, outputting quantitative and traceable engineering parameters and judgment conclusions. This makes the adaptability assessment a scientific diagnosis based on objective data, providing an input basis for subsequent precise adjustments.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a laser detection system for the ergonomic adaptability of a car repair reclining board, the system comprising: a reclining board body, a laser detection module, a data processing module, an ergonomic database module, and a feedback adjustment module; The reclining board body is used to support maintenance personnel, and its support surface is provided with a flexible buffer layer to provide a physical basis for the collection of human body-reclining board contact parameters; The laser detection module is integrated on the reclining board body and is used to emit a detection laser to the maintenance personnel located on the reclining board body and receive the reflected signal. At the same time, it collects the pressure distribution data of the contact surface to obtain the contour parameters, fitting gap parameters and pressure distribution parameters of the human body-reclining board contact area. The data processing module is communicatively connected to the laser detection module. It is used to filter and reduce noise of the received contour, gap and pressure parameters, and to evaluate the compatibility with the standard parameters of the ergonomic database module, and output a comprehensive evaluation result. The ergonomic database module is used to store standard parameters, adaptation thresholds and historical data of different human body characteristics, providing a benchmark for the comparative analysis of the data processing module. The feedback adjustment module is used to drive the adjustment mechanism of the reclining board body to adjust its support height, angle and the position of regional support points based on the comprehensive evaluation results.

[0007] Furthermore, the laser detection module includes a dot matrix laser emitting unit, a laser receiving unit, and a pressure correlation detection unit; The dot matrix laser emitting unit includes a laser emitter array symmetrically arranged around the body of the reclining board, used to emit dot matrix laser signals to the contact area between the human body and the body of the reclining board. The laser receiving unit receives the dot matrix laser signal reflected from the human body surface and converts it into an electrical signal that represents distance information. The pressure correlation detection unit is a pressure sensor array embedded in the flexible buffer layer, used to collect real-time pressure distribution data of the contact area between the human body and the reclining board body.

[0008] Furthermore, the data processing module includes a data preprocessing unit, a contour fitting unit, and an adaptability analysis unit; The data preprocessing unit is used to filter and reduce noise in the electrical signals of the laser receiving unit and the pressure correlation detection unit to eliminate environmental interference. The contour fitting unit generates a three-dimensional contour model of the human back based on the processed electrical signal using a three-dimensional point cloud reconstruction algorithm. The compatibility analysis unit is used to evaluate the compatibility between the three-dimensional contour model and the data of the ergonomic database module, and to calculate the fitting gap value of key areas.

[0009] Furthermore, the step of the adaptability analysis unit in calculating the bonding gap value is as follows: Based on the aforementioned three-dimensional contour model, contour point sets of three key support regions of the human body—the lumbosacral region, the shoulder and back, and the buttocks—are extracted. ; Obtain the reference plane equation of the corresponding area on the surface of the reclining board body. ; Calculate the contour point set From each point in the reference plane vertical distance ; The fitting gap value Gap of the key support area is the total distance of the key support area. Average value: ,in, For the contour point set The number of midpoints For the first The distance from a contour point to the reference plane of the reclining board is used to quantify the average degree of suspension of that part of the human body from the surface of the reclining board.

[0010] Furthermore, the ergonomic database module includes a basic parameter library, an adaptation threshold library, and a historical database, providing benchmark data support for the adaptation evaluation of the adaptation analysis unit. The basic parameter library stores standard human body dimensions categorized by gender, height, and weight, as well as standard spinal physiological curvature curves corresponding to different body types. ; The adaptation threshold library pre-stores the optimal fitting gap thresholds for each key support area. and the peak safety pressure threshold for each key support area ; The historical database is used to store the three-dimensional contour models, pressure data, and final adjustment parameter schemes for each test.

[0011] Furthermore, the adaptation analysis unit performs the adaptation evaluation step as follows: Extract the current actual curvature curve of the human spine from the three-dimensional contour model. ; Calculate the current fit gap value for key support areas in the lumbosacral region, shoulders, back, and buttocks. , , And extract the current local pressure peak value of the corresponding region from the pressure distribution data. ; From the adaptation threshold library of the ergonomic database module, retrieve the standard spinal physiological curvature curve that matches the current maintenance personnel's body shape characteristics. Optimal fitting gap threshold for each key support area and the peak safety pressure threshold for each key support area ; Calculate the spinal curvature deviation ΔC, where ΔC is... and The root mean square of the sum of the squares of the curvature differences of corresponding point sets of the two curves, i.e. Where N is the number of sampling points, and The actual curve and the standard curve are respectively on the 1st and 2nd. Curvature at each sampling point; Key support areas , , and Each is matched with the corresponding threshold in the adaptation threshold library. and Perform independent comparisons and generate diagnostic conclusions.

[0012] Furthermore, the compatibility analysis unit calculates a comprehensive quantitative score, i.e., a comprehensive compatibility index, based on the diagnostic conclusion. The ,in, For the spinal curvature scoring item and Used to quantify the degree of spinal curvature deviation, with an allowable threshold for spinal curvature deviation. , ], For the average fit gap scoring item and ,in, This is a normalized range constant for gap scoring, used to quantify the deviation of the bonding gap in each region from the standard value. For pressure distribution scoring items and , This is a normalization range constant for the stress score, used to quantify the degree of stress exceeding the limit in each region. The weighting coefficients are preset and satisfy the following conditions: , respectively, represent the weights of the three dimensions of spinal curvature, fit gap and pressure distribution in the overall assessment; The output includes a comprehensive evaluation result combining the diagnostic conclusion and the Comprehensive Adaptability Index (CAI): when the CAI value is ≥ a preset qualifying threshold... When the overall compatibility is deemed satisfactory, At that time, it was determined that the overall compatibility did not meet the standards.

[0013] Furthermore, the feedback adjustment module includes a height adjustment unit, an angle adjustment unit, and a support point adjustment unit; The height adjustment unit is driven to the support legs of the reclining board body and is used to adjust the overall height of the reclining board off the ground according to the evaluation results. The adjustment range is 10cm to 30cm. The angle adjustment unit is connected to the lumbar support area of ​​the reclining board body and is used to independently adjust the tilt angle of the lumbar support area, with an adjustment range of -10° to 20°. The support point adjustment unit is connected to the shoulder and hip support areas of the lying board body and is used to adjust the protrusion height of the local support point, with an adjustment range of 0mm to 8mm.

[0014] Furthermore, the system also includes a display and alarm module connected to the data processing module, used to display the three-dimensional contour model, pressure distribution, fitting gap value of key areas, pressure value, and comprehensive evaluation results and CAI index in real time. When the overall adaptability is not up to standard and the feedback adjustment module can no longer make further corrections, an audible and visual alarm signal is issued to prompt manual intervention and equipment replacement.

[0015] Compared with existing technologies, this ergonomically adaptable laser inspection system for automotive repair reclining chairs has the following advantages: I. This invention, through an integrated dot matrix laser scanning unit and pressure sensor array, achieves synchronous, high-density acquisition of the three-dimensional contour and body pressure distribution of the human body in the application scenario of a maintenance reclining board. The laser scanning obtains accurate contour data, and the pressure sensor array obtains pressure distribution data. Spatial registration and fusion are performed during data processing to generate a three-dimensional contour model. Furthermore, an overall score is obtained through a comprehensive adaptability index, outputting quantitative and traceable engineering parameters and judgment conclusions. This makes the adaptability assessment a scientific diagnosis based on objective data, providing input basis for subsequent precise adjustments.

[0016] Second, this invention constructs a real-time adjustment system integrating perception, analysis, and execution, solving the problems of disconnect between detection and action and low adaptation efficiency. After the system completes quantitative diagnosis, the specific conclusions and CAI index generated by the adaptability analysis unit are directly and in real time sent to the feedback adjustment module. This module executes targeted strategies based on the specific conclusions. After each adjustment, the laser detection module immediately starts re-detection to verify the adjustment effect and start the next round of optimization cycle, transforming the lying board from a static tool into an intelligent terminal with adaptive capabilities, which can automatically complete personalized adaptation for any new user, greatly improving the adaptation accuracy and efficiency.

[0017] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0018] 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 merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Figure 1 A flowchart of a laser inspection system for the ergonomic adaptability of a car repair reclining chair. Figure 2 A block diagram showing the modular components of a laser inspection system for an ergonomically adaptable reclining chair in automotive repair. Figure 3 A flowchart illustrating the steps involved in calculating the fitting gap value using an adaptation analysis unit within a laser testing system for the ergonomic adaptability of a car repair reclining chair. Detailed Implementation

[0019] To better understand the above technical solutions, a detailed description of the solutions will be provided below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0020] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a method for diagnosing transformer faults using multi-channel acoustic imaging and feature enhancement”, “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plurality forms, unless the context clearly indicates otherwise; “plural” generally includes at least two.

[0021] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0022] To address the shortcomings of existing technologies, this invention first describes the application scenario for testing the ergonomic suitability of automotive repair reclining chairs. This invention is primarily applied in automotive repair workshops and 4S dealership repair bays, aiming to solve problems such as discomfort, fatigue, and long-term occupational health risks caused by differences in the body types of repair personnel. Traditional reclining chair adjustments rely on manual experience, lack quantitative data, and cannot achieve dynamic alignment between the support surface and the physiological curvature of the human spine. This invention, through integrated laser 3D scanning, synchronous acquisition of body pressure distribution, intelligent database analysis, and closed-loop feedback adjustment, aims to achieve high-precision, personalized, and adaptive ergonomic fit of the repair reclining chair.

[0023] The ergonomic adaptability laser detection system for automotive repair reclining chairs provided by this invention uses a laser detection module integrated into the reclining chair to collect high-density data on the three-dimensional contour and pressure distribution of the human back. The data processing module fuses and processes the raw data to generate a three-dimensional model and performs quantitative evaluation. The ergonomic database module provides personalized evaluation benchmarks. Finally, the feedback adjustment module drives the reclining chair mechanism to make targeted adjustments based on the evaluation conclusions, forming a complete system of perception, analysis, and execution, transforming the static reclining chair into an intelligent adaptive terminal.

[0024] Specifically, such as Figure 2 As shown, an ergonomic laser testing system for a car repair reclining chair includes: a reclining chair body, a laser testing module, a data processing module, an ergonomic database module, a feedback adjustment module, and a display and alarm module. The reclining board body is used to support maintenance personnel, and its support surface is provided with a flexible buffer layer to provide a physical basis for the collection of human body-reclining board contact parameters; The laser detection module is used to emit a detection laser to the maintenance personnel located on the reclining board body and receive the reflected signal, while collecting pressure distribution data of the contact surface to obtain the contour parameters, fitting gap parameters and pressure distribution parameters of the human body-reclining board contact area. The data processing module is communicatively connected to the laser detection module. It is used to filter and reduce noise of the received contour, gap and pressure parameters, and to evaluate the compatibility with the standard parameters of the ergonomic database module, and output a comprehensive evaluation result. The ergonomic database module is used to store standard parameters, adaptation thresholds and historical data of different human body characteristics, providing a benchmark for the comparative analysis of the data processing module. The feedback adjustment module is used to drive the adjustment mechanism of the reclining board body to adjust its support height, angle and the position of regional support points based on the comprehensive evaluation results. The display and alarm module is used to display the three-dimensional contour model, pressure distribution, fitting gap value of key areas, pressure value, and comprehensive evaluation results and CAI index in real time. When the overall adaptability is not up to standard and the feedback adjustment module can no longer make further corrections, it issues an audible and visual alarm signal to prompt manual intervention and equipment replacement.

[0025] In practical implementation, the reclining platform serves as the system's mechanical support platform and sensing carrier. Its supporting surface is covered with a flexible cushioning layer composed of high-density slow-rebound memory foam and waterproof, wear-resistant fabric. This layer serves two purposes: first, to provide comfortable initial support for maintenance personnel; and second, to house an embedded pressure sensor array. The memory foam's properties ensure that pressure is effectively transmitted to the sensors while avoiding discomfort from hard contact. The reclining platform integrates a height adjustment motor, a waist angle adjustment servo motor, and miniature electric actuators for multiple regional support points. These actuators are electrically connected to the feedback adjustment module, receiving commands and performing precise position adjustments.

[0026] The laser detection module simultaneously acquires two key pieces of information: the contour of the human back and the distribution of body pressure. This module includes a dot matrix laser emitting unit, a laser receiving unit, and a pressure correlation detection unit, which work together.

[0027] The dot matrix laser emitting unit consists of multiple laser diode arrays, which are symmetrically arranged inside the frame around the body of the reclining board. When the maintenance personnel lie down, the system is activated, and the laser diode arrays project a regularly arranged dense dot matrix laser pattern onto the back area of ​​the human body. The laser is a low-power visible red light or near-infrared light that is safe for the human eye, and the dot matrix pattern covers the entire back contact area.

[0028] The laser receiving unit is also integrated into the frame of the reclining board. It captures the dot matrix laser pattern that is deformed after being reflected by the curved surface of the human back. Because the surface of the human back is uneven, the position of the reflected light spot will be offset relative to the original projection position. This offset contains the depth information of the human surface. The image sensor converts the captured light spot image into a digital signal and transmits it to the data processing module.

[0029] The pressure correlation detection unit is the aforementioned pressure sensor array embedded in the flexible buffer layer. This array adopts flexible thin-film pressure sensing technology and consists of multiple miniature pressure sensing units arranged in a matrix. When a person lies down, the body weight forms a pressure distribution on the support surface. Each sensing unit outputs the pressure value at its location in real time. All pressure data are synchronously uploaded to the data processing module via a bus. The system ensures through calibration that the two-dimensional coordinate system established by laser scanning corresponds one-to-one with the two-dimensional coordinates of the pressure sensor array, realizing the accurate registration of three-dimensional contour data and two-dimensional pressure data in spatial position, laying the foundation for subsequent fusion analysis.

[0030] The data processing module is responsible for processing, analyzing and making judgments on the raw sensor data, and includes a data preprocessing unit, a contour fitting unit and an adaptability analysis unit.

[0031] The data preprocessing unit first preprocesses the raw image signal from the laser receiving unit and the raw electrical signal from the pressure sensor. For the image signal, median filtering and morphological processing are used to eliminate speckle noise and ambient light interference, and to accurately identify and locate the image coordinates of each laser spot. For the pressure signal, low-pass filtering is performed to eliminate high-frequency vibration noise, and temperature drift compensation is performed. The preprocessed data is then sent to the contour fitting unit.

[0032] Based on the principle of triangulation and pre-calibrated system intrinsic and extrinsic parameters, the contour fitting unit converts the image coordinates of each laser point into three-dimensional spatial coordinates (x, y, z) in the lying board coordinate system. By combining the three-dimensional coordinates of all the points, a three-dimensional point cloud data describing the surface of the human back is formed. The discrete point cloud is then converted into a continuous and smooth three-dimensional mesh surface model, i.e., the three-dimensional digital contour of the human back, through a three-dimensional reconstruction algorithm. This model accurately reflects the three-dimensional geometric shape of the human back, including the curvature of the spine.

[0033] The compatibility analysis unit is used to evaluate the compatibility between the three-dimensional contour model and the data in the ergonomic database module, and to calculate the fitting gap values ​​for key areas, such as... Figure 3 As shown, the steps for the fit analysis unit to calculate the bonding gap value are as follows: Key features are extracted from the 3D contour model, and the three key support areas of the shoulder and back, lumbosacral region, and hip are automatically identified and segmented. For each key support region, extract all its surface points to form a contour point set. Meanwhile, the real-time pressure distribution map of the corresponding area is extracted from the pressure distribution data, and the local pressure peak value of the area is calculated. For each critical support region, fit the reference plane equation of the board support surface. Calculate the perpendicular distance from each point in the contour point set of the region to the reference plane. ; The gap value Gap in the critical support area is the total distance of the critical support area. Average value: ,in, For the contour point set The number of midpoints For the first The distance from each contour point to the reference plane of the reclining board is used to quantify the average degree of suspension between the body surface of that part and the support surface of the reclining board. The larger the gap value, the worse the fit and the less sufficient the support.

[0034] Simultaneously, the adaptability analysis unit also performs spinal curvature analysis, extracting a series of feature points representing the spinal direction from the midline of the 3D contour model, and obtaining the actual spinal curvature curve of the current human body through curve fitting. The system calls upon the ergonomics database module. Before initial use, maintenance personnel input or measure their basic body shape characteristics through the system. Based on these characteristics, the compatibility analysis unit retrieves a matching standard spinal physiological curvature curve from the basic parameter library of the ergonomics database. And call the corresponding optimal fitting gap threshold from the adaptation threshold library. and peak safety pressure threshold A comprehensive compatibility assessment was conducted, including: Spinal curvature deviation Calculate the actual curve Compared with the standard curve The curvature difference at the corresponding sampling point is used to quantify the overall deviation in root mean square form: .

[0035] Clearance vs. Pressure Comparison: The calculated current clearance value , , and peak pressure The corresponding thresholds are compared independently to determine if there are problems such as excessive gap or excessive pressure. If so, it is determined that there is "insufficient lumbar support". If so, it is determined that there is "excessive shoulder pressure". If so, it is determined that there is "poor hip fit".

[0036] Calculate the Comprehensive Adaptability Index (CAI): in, For the spinal curvature scoring item and Used to quantify the degree of spinal curvature deviation, with an allowable threshold for spinal curvature deviation. , ], For the average fit gap scoring item and ,in, This is a normalized range constant for gap scoring, used to quantify the deviation of the bonding gap in each region from the standard value. For pressure distribution scoring items and , This is a normalization range constant for the stress score, used to quantify the degree of stress exceeding the limit in each region. The weighting coefficients are preset and satisfy the following conditions: , representing the weights of the three dimensions of spinal curvature, fit gap, and pressure distribution in the overall assessment.

[0037] Finally, the adaptability analysis unit generates a comprehensive evaluation result that includes detailed problem diagnosis and CAI score. If the CAI value is greater than the preset passing threshold, the result is considered acceptable. If the overall compatibility is satisfactory, it is determined that the overall compatibility meets the standard; otherwise, it is determined that the compatibility does not meet the standard and subsequent adjustments are triggered.

[0038] The ergonomics database module is the system's knowledge base and benchmark library, stored digitally in the system's memory, and includes: Basic parameter library: Stores a large amount of statistically processed human body size data, categorized by gender, height range, and body mass index. Each category includes the corresponding standard spinal curvature curve, as well as typical body part dimensions.

[0039] Adaptation threshold library: Pre-stores the optimal fitting gap threshold for each key support area. and the peak safety pressure threshold for each key support area .

[0040] Historical database: Establish a file for each maintenance personnel or workstation, storing the 3D contour model of each test, pressure distribution cloud map, calculated parameters, and the final adjustment plan adopted, for long-term health tracking and performance optimization of the bed.

[0041] The feedback adjustment module is responsible for converting the digital evaluation results into physical adjustments. It receives the comprehensive evaluation results from the data processing module and analyzes the specific adjustment requirements. This module includes a height adjustment unit, an angle adjustment unit, and a support point adjustment unit, which control different degrees of freedom of the deck board.

[0042] Height adjustment unit: controls the electric lifting supports at the four corners or both ends of the reclining board to achieve stepless adjustment of the overall height of the reclining board from the ground, so as to adapt to the height and working habits of different maintenance personnel.

[0043] Angle adjustment unit: This unit typically controls the support plate in the lumbosacral region independently. It is driven by a servo motor to rotate around an axis, changing the tilt angle of the region to better support the physiological lordosis of the lumbar spine.

[0044] Support point adjustment unit: Controls multiple miniature motorized actuators distributed in areas such as the shoulders and hips. Each actuator has a small support pad at the top that can extend and retract independently, thereby changing the height of the bulge in the local area to precisely fill in concave areas of the body or relieve pressure on protruding bony points.

[0045] When the compatibility assessment result is "insufficient lumbar support", the angle adjustment unit increases the tilt angle of the lumbar support area, and the support point adjustment unit raises the height of the local support point protrusion in the corresponding lumbar area. When the compatibility assessment result is "excessive shoulder pressure", the support point adjustment unit lowers the height of the local support point protrusion in the corresponding shoulder area. If necessary, the height adjustment unit adjusts the overall height to distribute the pressure. After the action is completed, the system automatically starts a new round of laser detection and pressure scanning. The data processing module evaluates again and calculates a new CAI value. Through multiple iterations of detection-evaluation-adjustment, the CAI value continuously approaches the qualified threshold, ultimately achieving the best match between the lying board shape and the individual characteristics of the maintenance personnel. If the CAI value still fails to meet the standard after several cycles of adjustment, the system will issue an audible and visual alarm through the display and alarm module, prompting that manual intervention or equipment replacement is required.

[0046] The display and alarm module displays a real-time rendering of the 3D contour model, a heat map of the pressure distribution, gap and pressure values ​​of key areas, CAI index, and compatibility conclusions. During the adjustment process, the visual feedback allows maintenance personnel or managers to have a clear understanding of the compatibility status, while the alarm function ensures the safety and reliability of the system.

[0047] Specifically, such as Figure 1 As shown, the specific operation procedure of the laser testing system for the ergonomic adaptability of automotive repair reclining chairs provided by this invention for testing the ergonomic adaptability of automotive repair reclining chairs is as follows: (1) System preparation The maintenance personnel lay supine on the deck.

[0048] The system starts up, each module is powered on and performs a self-test, and the display and alarm modules enter standby mode.

[0049] (2) Synchronous acquisition of three-dimensional contour and pressure data The laser detection module's dot matrix laser emitting unit projects a regularly arranged array of laser dots onto the back area of ​​the human body.

[0050] The laser receiving unit captures the laser dot matrix image reflected from the back of the human body and converts it into an electrical signal.

[0051] The pressure correlation detection unit synchronously collects real-time pressure distribution data of the contact area between the back and the reclining board.

[0052] (3) Data processing and 3D modeling The data preprocessing unit filters and reduces noise in the laser image signal and pressure electrical signal.

[0053] The contour fitting unit generates a three-dimensional contour model of the human back based on the processed laser data using a three-dimensional reconstruction algorithm.

[0054] The system automatically identifies and extracts the contour point set of three key support areas—the shoulder and back, the lumbosacral region, and the buttocks—from the 3D model.

[0055] (4) Calculation of adaptability parameters Calculate the average fit gap of each key support area to reflect the average degree of suspension between that part and the surface of the bed board.

[0056] Extract the actual curvature curve of the human spine from a 3D model.

[0057] Extract the current local pressure peak value of each key support area from the pressure distribution data.

[0058] (5) Calling standard database parameters Based on the basic information entered or identified by maintenance personnel, the system retrieves the corresponding information from the ergonomic database: standard spinal physiological curvature curve, optimal fit gap threshold for each part, and peak safety pressure threshold for each part.

[0059] (6) Fit assessment and diagnosis Calculate the overall deviation between the actual spinal curvature and the standard curvature.

[0060] The actual fitting gap and pressure peak of each part are compared with the corresponding threshold.

[0061] Based on the comparison results, a diagnostic conclusion is generated, indicating whether there are problems such as excessive gaps or excessive pressure.

[0062] (7) Comprehensive scoring and judgment The Comprehensive Adaptability Index (CAI) is calculated by weighting the scores based on three dimensions: spinal curvature, fit gap, and pressure distribution.

[0063] Compare the CAI value with the preset qualified threshold: if CAI ≥ threshold, the adaptability is deemed to meet the standard and the process ends; if CAI < threshold, the adaptability is deemed to fail and the adjustment process begins.

[0064] (8) Feedback and adjustment implementation The feedback adjustment module generates specific adjustment instructions based on the diagnostic conclusions and CAI scores.

[0065] The height adjustment unit adjusts the overall height of the reclining board off the ground; the angle adjustment unit adjusts the tilt angle of the lumbar support area; and the support point adjustment unit adjusts the height of the protrusions of local support points such as the shoulders and hips.

[0066] (9) Re-testing and verification After the adjustment is completed, the system automatically starts a new round of laser and pressure data acquisition.

[0067] Repeat (2) to (7) to calculate the new CAI value.

[0068] If the CAI still fails to meet the standard and the system determines that it can be adjusted further, then repeat (8) to (9).

[0069] (10) Alarm and manual intervention If the CAI still fails to meet the standard after several adjustments, or if the system determines that further adjustments are not possible, an audible and visual alarm will be triggered.

[0070] The display module indicates that manual intervention or equipment replacement is required, and the testing process is terminated.

[0071] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A laser inspection system for the ergonomic adaptability of a car repair reclining chair, characterized in that, The system includes: a reclining board body, a laser detection module, a data processing module, an ergonomic database module, and a feedback adjustment module; The reclining board body is used to support maintenance personnel, and its support surface is provided with a flexible buffer layer to provide a physical basis for the collection of human body-reclining board contact parameters; The laser detection module is integrated on the reclining board body and is used to emit a detection laser to the maintenance personnel located on the reclining board body and receive the reflected signal. At the same time, it collects the pressure distribution data of the contact surface to obtain the contour parameters, fitting gap parameters and pressure distribution parameters of the human body-reclining board contact area. The data processing module is communicatively connected to the laser detection module. It is used to filter and reduce noise of the received contour, gap and pressure parameters, and to evaluate the compatibility with the standard parameters of the ergonomic database module, and output a comprehensive evaluation result. The ergonomic database module is used to store standard parameters, adaptation thresholds and historical data of different human body characteristics, providing a benchmark for the comparative analysis of the data processing module. The feedback adjustment module is used to drive the adjustment mechanism of the reclining board body to adjust its support height, angle and the position of regional support points based on the comprehensive evaluation results.

2. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 1, characterized in that, The laser detection module includes a dot matrix laser emitting unit, a laser receiving unit, and a pressure-related detection unit. The dot matrix laser emitting unit includes a laser emitter array symmetrically arranged around the body of the reclining board, used to emit dot matrix laser signals to the contact area between the human body and the body of the reclining board. The laser receiving unit receives the dot matrix laser signal reflected from the human body surface and converts it into an electrical signal that represents distance information. The pressure correlation detection unit is a pressure sensor array embedded in the flexible buffer layer, used to collect real-time pressure distribution data of the contact area between the human body and the reclining board body.

3. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 1, characterized in that, The data processing module includes a data preprocessing unit, a contour fitting unit, and an adaptability analysis unit. The data preprocessing unit is used to filter and reduce noise in the electrical signals of the laser receiving unit and the pressure correlation detection unit. The contour fitting unit generates a three-dimensional contour model of the human back based on the processed electrical signal using a three-dimensional point cloud reconstruction algorithm. The compatibility analysis unit is used to evaluate the compatibility between the three-dimensional contour model and the data of the ergonomic database module, and to calculate the fitting gap value of key areas.

4. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 3, characterized in that, The steps for the adaptability analysis unit to calculate the bonding gap value are as follows: Based on the aforementioned three-dimensional contour model, contour point sets of three key support regions of the human body—the lumbosacral region, the shoulder and back, and the buttocks—are extracted. ; Obtain the reference plane equation of the corresponding area on the surface of the reclining board body. ; Calculate the contour point set From each point in the reference plane vertical distance ; The fitting gap value Gap of the key support area is the total distance of the key support area. Average value: ,in, For the contour point set The number of midpoints For the first The distance from a contour point to the reference plane of the reclining board is used to quantify the average degree of suspension of that part of the human body from the surface of the reclining board.

5. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 1, characterized in that, The ergonomics database module includes a basic parameter library, an adaptation threshold library, and a historical database, providing benchmark data support for the adaptation evaluation of the adaptation analysis unit. The basic parameter library stores standard human body dimensions categorized by gender, height, and weight, as well as standard spinal physiological curvature curves corresponding to different body types. ; The adaptation threshold library pre-stores the optimal fitting gap thresholds for each key support area. and the peak safety pressure threshold for each key support area ; The historical database is used to store the three-dimensional contour models, pressure data, and final adjustment parameter schemes for each test.

6. A laser detection system for the ergonomic adaptability of an automotive repair reclining chair according to claim 3 or 5, characterized in that, The steps for the adaptability analysis unit to perform adaptability evaluation are as follows: Extract the current actual curvature curve of the human spine from the three-dimensional contour model. ; Calculate the current fit gap value for key support areas in the lumbosacral region, shoulders, back, and buttocks. , , And extract the current local pressure peak value of the corresponding region from the pressure distribution data. ; From the adaptation threshold library of the ergonomic database module, retrieve the standard spinal physiological curvature curve that matches the current maintenance personnel's body shape characteristics. Optimal fitting gap threshold for each key support area and the peak safety pressure threshold for each key support area ; Calculate the spinal curvature deviation ΔC, where ΔC is... and The root mean square of the sum of the squares of the curvature differences of corresponding point sets of the two curves, i.e. Where N is the number of sampling points, and The actual curve and the standard curve are respectively on the 1st and 2nd. Curvature at each sampling point; Key support areas , , and Each is matched with the corresponding threshold in the adaptation threshold library. and Perform independent comparisons and generate diagnostic conclusions.

7. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 6, characterized in that, The compatibility analysis unit calculates a comprehensive quantitative score, i.e., a comprehensive compatibility index, based on the diagnostic conclusions. The ,in, For the spinal curvature scoring item and Used to quantify the degree of spinal curvature deviation, with an allowable threshold for spinal curvature deviation. , ], For the average fit gap scoring item and ,in, This is a normalized range constant for gap scoring, used to quantify the deviation of the bonding gap in each region from the standard value. For pressure distribution scoring items and , This is a normalization range constant for the stress score, used to quantify the degree of stress exceeding the limit in each region. The weighting coefficients are preset and satisfy the following conditions: , respectively, represent the weights of the three dimensions of spinal curvature, fit gap and pressure distribution in the overall assessment; The output includes a comprehensive evaluation result combining the diagnostic conclusion and the Comprehensive Adaptability Index (CAI): when the CAI value > a preset qualifying threshold. When the overall compatibility is deemed satisfactory, At that time, it was determined that the overall compatibility did not meet the standards.

8. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 1, characterized in that, The feedback adjustment module includes a height adjustment unit, an angle adjustment unit, and a support point adjustment unit; The height adjustment unit is driven to the support legs of the reclining board body and is used to adjust the overall height of the reclining board off the ground according to the evaluation results. The angle adjustment unit is connected to the lumbar support area of ​​the reclining board body and is used to independently adjust the tilt angle of the lumbar support area. The support point adjustment unit is connected to the shoulder and hip support areas of the lying board body and is used to adjust the protrusion height of the local support points.

9. The laser detection system for the ergonomic adaptability of a car repair reclining chair according to claim 1, characterized in that, The system also includes a display and alarm module connected to the data processing module. It is used to display the three-dimensional contour model, pressure distribution, fitting gap value of key areas, pressure value, and comprehensive evaluation results and CAI index in real time. When the overall adaptability is not up to standard and the feedback adjustment module can no longer make further corrections, it issues an audible and visual alarm signal to prompt manual intervention and equipment replacement.

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