Method and device for measuring man-machine hard point data of cab sample vehicle and electronic equipment

Abstract

The invention provides a method and device for measuring man-machine hard point data of a cab sample car and electronic equipment, and the method comprises the steps: scanning the surface of a to-be-scanned part through a laser scanning device, and obtaining three-dimensional scanning data; based on the three-dimensional scanning data and a preset capacity threshold value, if it is judged that surface scanning is completed, the three-dimensional scanning data are aligned to a preset cab origin coordinate system, and first three-dimensional scanning data are obtained; and preprocessing the first three-dimensional scanning data based on a preset processing mode to obtain first measurement data corresponding to the first man-machine hard point, second measurement data corresponding to the second man-machine hard point and man-machine size measurement data. According to the mode, the three-dimensional scanning data obtained by scanning of the laser scanning device aligned to the original point coordinate system of the cab is preprocessed through the preset processing mode, so that the convenience and the accuracy of man-machine hard point data measurement of the sample car of the cab can be improved; therefore, the problems of low measurement convenience and accuracy in a traditional measurement method are solved.

Description

Technical Field

[0001] The invention relates to the technical field of automobile ergonomics, and in particular to a method, a device and electronic equipment for measuring ergonomic hard point data of a cab prototype vehicle. Background Art

[0002] In automotive human-machine engineering technology, human-machine hard points are the core of the design of the car's cockpit and have an important impact on the human-machine comfort performance of the cab. Reasonable design of human-machine hard points can effectively reduce driver fatigue and health damage. The traditional way to measure the human-machine hard point data of the cab prototype in the industry is to obtain it through manual measurement, which is less convenient and has large deviations in the measurement results, and cannot guarantee the design quality. If it is put on the market in this way, the poor human-machine position in the cab will cause the driver to easily become fatigued or suffer physical damage. Summary of the invention

[0003] The object of the present invention is to provide a method, device and electronic equipment for measuring human-machine hard point data of a cab prototype vehicle, so as to improve the convenience and accuracy of measuring human-machine hard point data of a cab prototype vehicle.

[0004] The present invention provides a method for measuring human-machine hard point data of a cab prototype vehicle, wherein a dummy is pre-placed in the cab prototype vehicle; the method comprises:

[0005] Scanning the surface of the component to be scanned by a laser scanning device to obtain three-dimensional scanning data; wherein the component to be scanned includes: a cab cabin and a dummy of a cab prototype vehicle;

[0006] Based on the three-dimensional scanning data and the pre-set capacity threshold, it is determined whether the surface of the scanned component has been scanned;

[0007] If the surface scanning of the component to be scanned is completed, aligning the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data;

[0008] The first three-dimensional scanning data is preprocessed based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine size measurement data.

[0009] Furthermore, the laser scanning device includes: a laser transmitter and a laser receiving camera; and the step of scanning the surface of the component to be scanned by the laser scanning device to obtain three-dimensional scanning data includes:

[0010] Sending a scanning signal to the laser transmitter, so that the laser transmitter transmits laser light to the surface of the component to be scanned, and the laser receiving camera receives the laser light reflected back from the surface of the component to be scanned, thereby obtaining two-dimensional scanning data;

[0011] Receive two-dimensional scanning data, and based on predetermined parameters of a laser receiving camera and according to a preset three-dimensional conversion algorithm, convert the two-dimensional scanning data into three-dimensional scanning data.

[0012] Furthermore, the steps before sending the scanning signal to the laser transmitter also include:

[0013] A calibration signal is sent to the laser scanning device so that the laser scanning device is aligned with the calibration plate to perform scanning calibration at multiple angles, and the parameter values ​​of the scanning parameters of the laser scanning device in the current environment are obtained.

[0014] Further, the step of preprocessing the first three-dimensional scanning data based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine dimension measurement data also includes:

[0015] Simplifying the first three-dimensional scanning data using a preset simplification processing method to obtain second three-dimensional scanning data;

[0016] Performing reverse processing on the second three-dimensional scanning data using a preset reverse processing method to obtain third three-dimensional scanning data;

[0017] The third three-dimensional scanning data is measured and processed by using a preset measurement method to obtain first measurement data corresponding to the first human-machine hard point and second measurement data corresponding to the second human-machine hard point;

[0018] Based on the first measurement data and the second measurement data, human-machine dimension measurement data is calculated.

[0019] Furthermore, the first three-dimensional scanning data includes: fourth scanning data corresponding to the target surface of the component to be scanned, and fifth scanning data corresponding to the non-target surface of the scanning component; and the step of simplifying the first three-dimensional scanning data using a preset simplified processing method to obtain the second three-dimensional scanning data also includes:

[0020] Based on a preset first accuracy, encrypt the fourth scan data to adjust the distance between two adjacent points of each first triangular facet corresponding to the fourth scan data to the first distance, thereby obtaining sixth scan data;

[0021] Based on the preset second precision, the fifth scan data is diluted to adjust the distance between two adjacent points of each second triangular facet corresponding to the fifth scan data to the second distance, thereby obtaining seventh scan data; wherein the first distance is smaller than the second distance; and the first precision is smaller than the second precision;

[0022] Based on the sixth scanning data and the seventh scanning data, second three-dimensional scanning data is obtained.

[0023] Furthermore, the method also includes:

[0024] Based on a preset cab origin coordinate system, first human-machine hard point data of a plurality of target vehicles are acquired, and a data domain of the first human-machine hard point is determined according to each first human-machine hard point data;

[0025] Determine the first human-machine hard point standard data, the second human-machine hard point standard data, and the human-machine size standard data through human-machine engineering simulation software and data domain;

[0026] Compare the man-machine dimension measurement data with the man-machine dimension standard data to obtain a comparison result;

[0027] If the comparison result indicates that the man-machine dimension measurement data is different from the man-machine dimension standard data, a difference between the man-machine dimension measurement data and the man-machine dimension standard data is calculated to obtain a first difference result;

[0028] Based on the first difference result, the human-machine dimension standard data and the preset error rate, it is determined whether the human-machine dimension measurement data meets the preset requirements.

[0029] Further, the scanning parameter includes a first scanning parameter; and the method further includes:

[0030] If the human-machine dimension measurement data does not meet the preset requirements, the parameter value corresponding to the first scanning parameter is adjusted, and the surface of the component to be scanned is rescanned by the laser scanning device to obtain the eighth three-dimensional scanning data;

[0031] The eighth three-dimensional scanning data is used as new three-dimensional scanning data, and the steps of aligning the three-dimensional scanning data to a preset cab origin coordinate system to obtain the first three-dimensional scanning data are repeated if the surface scanning of the component to be scanned is completed, and judging whether the human-machine dimension measurement data meets the preset requirements based on the first difference result, the human-machine dimension standard data and the preset error rate;

[0032] If the human-machine dimension measurement data still does not meet the preset requirements, the display result is output; wherein the display result is used to indicate that the position of the first human-machine hard point does not meet the design requirements.

[0033] The present invention provides a device for measuring human-machine hard point data of a cab prototype vehicle, wherein a dummy is placed in advance in the cab prototype vehicle; the device comprises:

[0034] The acquisition module is used to scan the surface of the part to be scanned by a laser scanning device to obtain three-dimensional scanning data; wherein the part to be scanned includes: the cab cabin of the cab prototype vehicle and the dummy;

[0035] A judgment module, used to judge whether the surface of the component to be scanned is scanned based on the three-dimensional scanning data and a preset capacity threshold;

[0036] An alignment module, used for aligning the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data if the surface scanning of the component to be scanned is completed;

[0037] The measurement module is used to pre-process the first three-dimensional scanning data based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine size measurement data.

[0038] The present invention provides an electronic device, which includes a processor and a memory. The memory stores computer-executable instructions that can be executed by the processor. The processor executes the computer-executable instructions to implement any of the above-mentioned methods for measuring human-machine hard point data of a cab prototype vehicle.

[0039] The present invention provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any of the above-mentioned methods for measuring human-machine hard point data of a cab prototype vehicle.

[0040] The present invention provides a method, device and electronic device for measuring the human-machine hard point data of a cab prototype, wherein a laser scanning device is used to scan the surface of a component to be scanned to obtain three-dimensional scanning data; based on the three-dimensional scanning data and a preset capacity threshold, if it is judged that the surface scanning is completed, the three-dimensional scanning data is aligned to a preset cab origin coordinate system to obtain first three-dimensional scanning data; the first three-dimensional scanning data is preprocessed based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine size measurement data. In this method, the three-dimensional scanning data obtained by scanning the laser scanning device aligned to the cab origin coordinate system is preprocessed by a preset processing method, which can improve the convenience and accuracy of measuring the human-machine hard point data of the cab prototype, thereby solving the problem of low convenience and accuracy of measurement in traditional measurement methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A flow chart of a method for measuring human-machine hard point data of a cab prototype vehicle provided by an embodiment of the present invention;

[0043] Figure 2 A schematic diagram of an HPM-II dummy placed in a cab prototype vehicle provided by an embodiment of the present invention;

[0044] Figure 3 A flow chart of another method for measuring human-machine hard point data of a cab prototype vehicle provided by an embodiment of the present invention;

[0045] Figure 4 A schematic diagram of the structure of a laser scanning device provided by an embodiment of the present invention;

[0046] Figure 5 A schematic diagram of the structure of a device for measuring human-machine hard point data of a cab prototype vehicle provided by an embodiment of the present invention;

[0047] Figure 6 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The technical solution of the present invention is clearly and completely described in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] In the automotive ergonomics technology, the ergonomic hard point is the core element of this technology field. The core ergonomic hard point of the automotive cockpit design is the H point of the cab, which is also the origin of ergonomics design. Therefore, how to quickly and accurately determine the optimal H point and evaluate the consistency between the measured value of the H point of the cab prototype and the theoretical value of the H point has an important impact on the ergonomic comfort performance of the cab, can effectively reduce driver fatigue and health damage, and also plays an important role in the market benefits of the product.

[0050] The way to determine the H point in the industry is generally based on historical design data, and it is impossible to accurately simulate and calculate the H point and other human-machine hard points. At the same time, the human-machine hard point measurement of the cab prototype and the consistency evaluation of the human-machine hard point of the prototype and the theoretical human-machine hard point are also obtained through manual measurement or feeling. The measurement results have large deviations and poor consistency with the theoretical values, and the design quality cannot be guaranteed. If it is put on the market in this way, the poor human-machine position in the cab will cause the driver to easily become fatigued or suffer physical damage.

[0051] Based on this, the purpose of the embodiments of the present application is to provide a method, device and electronic equipment for measuring the human-machine hard point data of a cab prototype vehicle, which can conveniently and accurately improve the problems of inaccurate and inconvenient measurement of the human-machine hard point data of a cab prototype vehicle.

[0052] To facilitate understanding of this embodiment, a method for measuring the human-machine hard point data of a cab prototype vehicle disclosed in an embodiment of the present invention is first described in detail; a dummy is placed in advance in the cab prototype vehicle, such as Figure 1 As shown, the method comprises the following steps:

[0053] Step S102, scanning the surface of the component to be scanned by a laser scanning device to obtain three-dimensional scanning data; wherein the component to be scanned includes: a cab cabin of a cab prototype vehicle and a dummy.

[0054] The above-mentioned cab prototype can be understood as a real cab that can realize driving control functions;

[0055] The above-mentioned dummy can be understood as an auxiliary measurement device for the driver-machine hard point in the automotive industry, and generally adopts the HPM-II dummy determined according to GB / T 11563-1995 "Automobile H-point Determination Procedure and H-point Device".

[0056] In actual implementation, the operator can place the HPM-II dummy in the cab prototype vehicle so that the placement position is consistent with the preset position, that is, the dummy's pelvis and torso are close to the surface of the driver's seat that has been adjusted to the designed position, the dummy's pelvis seat plate is horizontal and the center of the pelvis is placed on the left-right symmetrical center of the driver's seat, and the dummy's feet are naturally placed on the accelerator pedal (also known as the accelerator pedal).

[0057] For details, please refer to Figure 2 The schematic diagram of a HPM-II dummy placed in a cab prototype is shown; the relevant parameters L1 and L2 adopt the 95th percentile dummy size, δ is the angle between the thigh and the calf, θ is the backrest angle, H30 is the Z-axis difference between the hard point H of the human machine and the clockwise AHP coordinate, and L53 is the X-axis difference between the hard point H of the human machine and the clockwise AHP coordinate. When the dummy is actually placed, the dummy pelvis and torso can be assembled and placed in a seat that has been adjusted to the design position (that is, the seat position is the last and lowest position, and the angle between the backrest of the seat and the plumb plane is adjusted to the torso angle θ), and then the thigh is installed at the pelvis connection point and the dummy's feet are naturally placed on the accelerator pedal in the initial state. Finally, weights are placed in the order of pelvis first and then torso to simulate the dummy's weight, so that the seat depression amount is consistent with that when the real driver sits.

[0058] In the specific implementation process, after the dummy is placed, the laser scanning device can be used to scan the cab cabin of the cab prototype vehicle and the surface of the dummy to obtain three-dimensional scanning data, that is, point cloud data of the surface of the cab cabin and the dummy (including three-dimensional coordinate data of multiple points on the surface).

[0059] Step S104: Based on the three-dimensional scanning data and a preset capacity threshold, it is determined whether the surface of the component to be scanned has been scanned.

[0060] The capacity threshold may be pre-set according to the actual situation of the component to be scanned. In this embodiment, the capacity threshold may be set to 1 GB.

[0061] The above-mentioned laser scanning device can be a handheld laser scanning device, which is connected to the data acquisition system in the mobile workstation by a communication cable.

[0062] In actual implementation, the operator can use a handheld laser scanning device to scan the cab cabin and the dummy. The obtained three-dimensional scanning data is stored in a data acquisition system that is communicated with the laser scanning device. Therefore, the capacity of the three-dimensional scanning data can be checked. When the data acquisition system shows that the storage capacity of the three-dimensional scanning data has reached more than 1GB, it can generally be determined that the scan is about to be completed, that is, the surface scan of the part to be scanned is completed.

[0063] Step S106: if the surface scanning of the component to be scanned is completed, align the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data.

[0064] In actual implementation, the data acquisition system in the mobile workstation may also be connected to the data processing system in the mobile workstation via a communication cable.

[0065] In the specific implementation process, if the storage capacity of the three-dimensional scanning data is greater than the capacity threshold, it is confirmed that the surface scanning of the component to be scanned is completed, and then the collected three-dimensional scanning data is subjected to coordinate alignment processing in the data processing system.

[0066] The above-mentioned cab origin coordinate system is generally established based on the cab origin X, Y, and Z coordinates (0,0,0) defined by the automobile manufacturer. Usually, the contact point between the accelerator pedal and the cab floor can be selected as the origin in the above-mentioned cab origin coordinate system, and the origin coordinates can be defined as (0,0,0); the direction of the origin toward the seat is the X-axis direction in the above-mentioned cab origin coordinate system, and the direction of the origin toward the roof is the Z-axis direction in the above-mentioned cab origin coordinate system; the direction of the origin toward the door is the Y-axis direction in the above-mentioned cab origin coordinate system.

[0067] In actual implementation, the same reference object can be selected, such as the contact point between the accelerator pedal and the cab floor as the reference object, and the above three-dimensional scanning data can be adjusted to the coordinate value based on the same reference object (that is, the first three-dimensional scanning data); that is, after the relative position of the cab origin coordinate position and the cab floor is obtained (equivalent to the above reference object), the relative position of the cab floor and the scanning coordinates in the three-dimensional scanning data is adjusted to be consistent with the theoretical data of the cab origin coordinate system, and the scanning data coordinates can be aligned to the cab origin coordinate system; For a solid, assuming that in the cab origin coordinate system, the coordinates of the reference object are (0,0,0), and in the coordinate system corresponding to the three-dimensional scanning data, the coordinate value corresponding to the reference object is (2,3.4), then the relative value of the cab origin coordinate system and the coordinate system corresponding to the three-dimensional scanning data can be determined to be (2,3.4). Therefore, assuming that the coordinate data of a point in the three-dimensional scanning data is (x1,y1,z1), when adjusted to the coordinate value based on the same reference object, the coordinate data of the point becomes (x1-2,y1-3,z1-4).

[0068] Step S108, pre-processing the first three-dimensional scanning data based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine dimension measurement data.

[0069] In fact, the man-machine hard points of the cab prototype may include the H point (equivalent to the first man-machine hard point) and the clock point AHP (equivalent to the second man-machine hard point); the man-machine dimension measurement data includes the first dimension measurement data and the second dimension measurement data; the first measurement data corresponding to the first man-machine hard point may be understood as the three-dimensional coordinate data of the first man-machine hard point, and the second measurement data corresponding to the second man-machine hard point may be understood as the three-dimensional coordinate data of the second man-machine hard point; and the man-machine dimension measurement data may be obtained according to the first measurement data corresponding to the first man-machine hard point and the second measurement data corresponding to the second man-machine hard point; Figure 2 As shown, point H is the connection point between the dummy's torso and pelvis; point AHP is the contact point between the dummy's heel and the cab floor when the dummy's foot is naturally placed on the accelerator pedal; the first dimension measurement data is H30; and the first dimension measurement data is L53.

[0070] Since the HPM-II dummy is mainly a device for measuring the H point, without arms and hands, and the travel measurement of the steering wheel adjustment mechanism is simple and accurate, there is no need to adjust the steering wheel, that is, the center point of the steering wheel is not within the measurement scope of this application. The H point is the design basis for all design extensions in ergonomic design, so the accurate determination and measurement of the H point is very important.

[0071] In the specific implementation process, after finding the reference datum of the cab coordinate origin according to the scan data and aligning the scan data to the cab origin coordinate, the surface of the first three-dimensional scan data can be simplified, including increasing the data density near the first man-machine hard point and the second man-machine hard point, and diluting and simplifying the data at other positions, so that the file memory size is suitable for software operation and reduces the operation load to facilitate subsequent data processing; the subsequent data processing generally includes reverse processing of the simplified first three-dimensional scan data in CATIA (a three-dimensional CAD design software), creating editable dummy H-point measurement data and clock point measurement data according to the scan data; the man-machine hard point H-point coordinates and clock point AHP coordinates are obtained according to the cab coordinate origin, and then the H30 measurement value and L53 measurement value are obtained according to the H-point coordinates and the clock point AHP coordinates.

[0072] The method for measuring the human-machine hard point data of the cab prototype provided in the above embodiment is to scan the surface of the component to be scanned by a laser scanning device to obtain three-dimensional scanning data; based on the three-dimensional scanning data and the preset capacity threshold, if it is judged that the surface scanning is completed, the three-dimensional scanning data is aligned to the preset cab origin coordinate system to obtain the first three-dimensional scanning data; based on the preset processing method, the first three-dimensional scanning data is preprocessed to obtain the first measurement data corresponding to the first human-machine hard point, the second measurement data corresponding to the second human-machine hard point, and the human-machine size measurement data. In this method, the three-dimensional scanning data obtained by scanning the laser scanning device aligned to the cab origin coordinate system is preprocessed by the preset processing method, which can improve the convenience and accuracy of measuring the human-machine hard point data of the cab prototype, thereby solving the problem of low convenience and accuracy of measurement in traditional measurement methods.

[0073] The embodiment of the present invention also provides another method for measuring the human-machine hard point data of a cab prototype vehicle, which is implemented on the basis of the method of the above embodiment; in this method, the laser scanning device includes: a laser transmitter, a laser receiving camera; Figure 3 As shown, the method comprises the following steps:

[0074] Step S202 , sending a scanning signal to a laser transmitter, so that the laser transmitter transmits laser light to the surface of the component to be scanned, and a laser receiving camera receives laser light reflected back from the surface of the component to be scanned, to obtain two-dimensional scanning data.

[0075] The above-mentioned laser scanning device adopts a reflective laser scanning device, see Figure 4 As can be seen from the structural schematic diagram of a laser scanning device shown, the laser scanning device consists of a laser transmitter in the middle part, laser receiving cameras located at the upper and lower ends (including laser receiving camera 1 and laser receiving camera 2), and a handheld part.

[0076] The above-mentioned laser scanning device is connected to a computer data acquisition program (that is, a data acquisition system in a mobile workstation, which is used to receive and display the scanned data surface and can confirm whether the scan is successful by checking the data capacity) via a cable, and the computer data acquisition program is connected to a computer data processing program (that is, a data processing system in a mobile workstation) via a cable.

[0077] In actual implementation, before executing the above step S202, it is generally necessary to send a calibration signal to the laser scanning device so that the laser scanning device can align with the calibration plate to perform scanning calibration at multiple angles to obtain the parameter values ​​of the scanning parameters of the laser scanning device in the current environment.

[0078] Specifically, you can turn on the power of the laser scanning device, check whether the laser transmitter of the laser scanning device and its laser receiving cameras 1 and 2 are working properly (for example, whether the power indicator light is on the normal color), and then align the scanning device with the calibration plate for scanning calibration according to the prompts of the data acquisition system program. After performing scanning calibration at different angles according to the requirements of the system program, when you see that the system displays that the calibration is completed, the system will automatically adjust the scanning parameters such as the scanning exposure and scanning accuracy under the current ambient temperature to complete the calibration work; for example, use the laser scanning device to identify feature points in the checkerboard, and use the identified feature points to calculate the scanning parameters.

[0079] After calibration, a scanning signal can be sent to the laser transmitter corresponding to the laser scanning device held by the operator. The laser transmitter transmits laser light to the cockpit and the surface of the dummy, and then reflects it to the laser receiving cameras 1 and 2 located at the upper and lower ends of the handle. The laser receiving cameras 1 and 2 receive the laser light reflected back by the components and perform scanning and positioning to obtain two-dimensional scanning data, thereby completing the data scanning.

[0080] In specific implementation, the operator can use the handheld part to make the laser scanning device flexibly scan the dummy and the internal area of ​​the cab coordinates. Therefore, the operator can use the handheld laser scanning device to perform a preliminary all-round scan of the cab cabin and the dummy surface. At the same time, the computer data acquisition program displays the scanning data in real time, which is convenient for the operator to scan the key scanning area near the human-machine hard points.

[0081] Step S204, receiving the two-dimensional scanning data, and based on the predetermined parameters of the laser receiving camera, converting the two-dimensional scanning data into three-dimensional scanning data according to a preset three-dimensional conversion algorithm.

[0082] In actual implementation, the laser receiving camera includes a first laser receiving camera and a second laser receiving camera. The reflected laser data received by the first laser receiving camera and the second laser receiving camera are actually X, Y two-dimensional data (that is, two-dimensional scanning data); the two-dimensional scanning data can be transmitted to the data acquisition system through communication. After receiving the data, the data acquisition system converts the two-dimensional scanning data into three-dimensional scanning data based on the predetermined parameters of the laser receiving camera and a preset three-dimensional conversion algorithm.

[0083] Specifically, the parameters of the above-mentioned laser receiving camera may include focal length and optical center.

[0084] The above-mentioned preset three-dimensional conversion algorithm includes: matching the two-dimensional scanning data corresponding to the same pixel point obtained by the first laser receiving camera and the second laser receiving camera, and calculating the parallax value;

[0085] The depth value is obtained according to the parallax value, the baseline (the distance between the first laser receiving camera and the second laser receiving camera), the focal length, the horizontal coordinate corresponding to the two-dimensional scanning data of the target pixel point on the first laser receiving camera, and the horizontal coordinate corresponding to the two-dimensional scanning data of the target pixel point on the second laser receiving camera;

[0086] Based on the depth value, the two-dimensional scanning data received by the first laser receiving camera, the focal length, and the optical center, three-dimensional scanning data corresponding to the two-dimensional scanning data is obtained.

[0087] In fact, the parallax value calculation formula is: L -(-U R ), U L is the horizontal coordinate of the two-dimensional scanning data corresponding to the target pixel point in the first laser receiving camera; U R is the horizontal coordinate of the two-dimensional scanning data corresponding to the target pixel point in the second laser receiving camera. Assuming that the same pixel point is (a1, b1) in the two-dimensional scanning data of the first laser receiving camera and (a2, b2) in the two-dimensional scanning data of the second laser receiving camera, the parallax value = a1 + a2;

[0088] The depth value calculation formula is: focal length * baseline / parallax value.

[0089] For each pixel's 2D scan data (u, v), its 3D scan data (X, Y, Z) can be calculated using the following formula:

[0090] X=depth value*(u-optical center coordinate) / focal length; Y=depth value*(v-optical center coordinate) / focal length; Z=depth value.

[0091] Step S206: Based on the three-dimensional scanning data and a preset capacity threshold, it is determined whether the surface of the component to be scanned has been scanned.

[0092] Specifically, the operator uses the calibrated laser scanning device to scan the cockpit and the dummy in a handheld manner, and at the same time checks the capacity of the data collected by the computer data acquisition program to display the data completeness. When the system scanning data shows that the storage capacity has reached more than 1GB, it can generally be determined that the scan is about to be completed.

[0093] Step S208: If the surface scanning of the component to be scanned is completed, align the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data.

[0094] Step S210: Simplify the first three-dimensional scanning data using a preset simplification processing method to obtain second three-dimensional scanning data.

[0095] In a specific implementation, the first three-dimensional scanning data may include fourth scanning data corresponding to the target surface of the component to be scanned and fifth scanning data corresponding to the non-target surface of the scanning component; the above step S210 may be obtained by the following steps 1 to 3:

[0096] Step 1: Based on a preset first accuracy, encrypt the fourth scan data to adjust the distance between two adjacent points of each first triangular facet corresponding to the fourth scan data to the first distance, thereby obtaining sixth scan data;

[0097] Step 2: Based on the preset second precision, the fifth scan data is diluted to adjust the distance between two adjacent points of each second triangular facet corresponding to the fifth scan data to the second distance, thereby obtaining the seventh scan data; wherein the first distance is smaller than the second distance; and the first precision is smaller than the second precision;

[0098] Step three: obtaining second three-dimensional scanning data based on the sixth scanning data and the seventh scanning data.

[0099] In actual implementation, the surface simplification processing of data is actually the dilution and encryption of the scanned triangular face data. Since the scanned data is composed of triangular faces connected by three points and is the point cloud data of the outer surface, the smaller the point distance, the finer the shape surface data composed of the triangular faces, but the memory usage increases significantly. Therefore, the data dilution processing is to increase the distance between the points of these triangular faces. After dilution, the distance between the points increases, the shape surface is rough, and the data storage capacity decreases. Conversely, the larger the distance between the points, the rougher the shape surface, and the smaller the data storage capacity.

[0100] Specifically, by simplifying the data processing through the data acquisition system, the data corresponding to the area near the first human-machine hard point and the second human-machine hard point (equivalent to the fourth scanning data corresponding to the target surface of the component to be scanned) can be selected for encryption, and a smaller accuracy value of the system can be set (equivalent to the above-mentioned first accuracy) so that the spacing between the points of the triangular patch corresponding to the data becomes smaller and the density increases, so that a more accurate external surface can be presented, and the coordinates of the human-machine hard point can be made more accurate; the data corresponding to other non-important position areas (equivalent to the fifth scanning data corresponding to the non-target surface of the component to be scanned) can be selected, and a larger accuracy value (equivalent to the above-mentioned second accuracy) can be set so that the spacing between the points of the triangular patch of the data is diluted (the spacing between the points of the triangular patch becomes larger), so that the file memory size is suitable for software operation, reducing the operating load, so as to facilitate the subsequent reverse processing of the data.

[0101] Step S212: Perform reverse processing on the second three-dimensional scanning data using a preset reverse processing method to obtain third three-dimensional scanning data.

[0102] In actual implementation, the simplified data can be reverse processed in CATIA. Since the scanned data is surface data composed of triangular patches, it cannot be edited and the coordinates cannot be directly measured. Therefore, the CATIA software DSE reverse design module generally automatically captures key points based on the point cloud data, thereby creating editable point, line, and surface data to facilitate coordinate measurement.

[0103] Step S214, using a preset measurement method to measure and process the third three-dimensional scanning data to obtain first measurement data corresponding to the first human-machine hard point and second measurement data corresponding to the second human-machine hard point.

[0104] Step S216: Calculate and obtain human-machine dimension measurement data based on the first measurement data and the second measurement data.

[0105] In actual implementation, the coordinates of the center of the cylinders at both ends of the connecting rod between the pelvis and the torso in the data obtained by reverse processing can be measured, and then the average value of the coordinates at both ends can be taken to obtain the coordinates of the center point of the connecting rod, which is the H point coordinate; the coordinates of the contact point between the dummy's heel and the floor in the data obtained by reverse processing can be measured, which is the clock point AHP coordinate; and the measurement values ​​of H30 and L53 can be calculated based on the measured H point coordinates and clock point AHP coordinates.

[0106] Specifically, a ruler measuring tool in a data measuring system (computer data measuring program) that is communicatively connected to the data processing system may be used to select marks for measuring points to obtain corresponding measurement values.

[0107] Step S218, based on the preset cab origin coordinate system, obtain the first human-machine hard point data of multiple target vehicles, and determine the data domain of the first human-machine hard point according to each first human-machine hard point data.

[0108] In actual implementation, the cab origin coordinate system based on the cab origin X, Y, Z coordinates (0,0,0) uniformly determined by the automobile manufacturer is first used to collect sufficient H point position coordinates XH and ZH of competitors or the same model of the enterprise to form the coordinate data domain of point H. The acquisition of competitor cabs includes but is not limited to directly purchasing data or purchasing vehicles for three-coordinate measurement. Since this method verifies the accuracy of the hard point data of the two-dimensional dummy in the Z and X planes, the Y coordinate can be ignored.

[0109] Step S220, determining the first ergonomic hard point standard data, the second ergonomic hard point standard data, and the ergonomic dimension standard data through ergonomic simulation software and data domain.

[0110] In actual implementation, RAMSIS ergonomic simulation software can be used to limit the H point of the dummy's pelvis to the data domain of the H point obtained in step S218. The data domain is an X, Z plane rectangle composed of the H point position coordinates XH and ZH. The simulation software's optimal human-machine comfort module calculates and solves the dummy's optimal solution H point coordinates XH and ZH, that is, calculates the first human-machine hard point standard data. Since the evaluation and verification is of the human-machine hard point data within the X, Z plane, the Y coordinate can be ignored.

[0111] According to the determined H-point coordinates XH and ZH, the position coordinates XAHP and ZAHP of the man-machine hard point AHP can be determined accordingly, that is, the second man-machine hard point standard data, which can be determined specifically by the following formula:

[0112] XAHP=XH-L1sinθ-L2sin(δ-θ);

[0113] ZAHP=ZH–L2cos(δ-θ)+L1cosθ.

[0114] Specifically, first, the coordinate domain corresponding to the H point can be obtained based on the same cab origin, and then the RAMSIS ergonomics simulation software is used to calculate the optimal H point coordinates in the obtained H point coordinate domain as the first ergonomic hard point standard data; according to the formula and the optimal H point coordinates, the position coordinates of the center point AHP can be calculated as the second ergonomic hard point standard data.

[0115] After the above human-machine hard points (including H point and AHP point) are determined, the theoretical coordinate data of the human-machine hard points (H point and AHP point) of the cab can be obtained, that is, the first human-machine hard point standard data and the second human-machine hard point standard data; Figure 2As shown, the human-machine dimension standard data, i.e., H30 and L53 (H30 is the Z-axis coordinate difference between the H point and the clock point AHP, and L53 is the X-axis coordinate difference between the H point and the clock point AHP) can be obtained through the first human-machine hard point standard data and the second human-machine hard point standard data; the human-machine dimension standard data H30 and L53 determined by this method can be understood as the theoretical values ​​of H30 and L53.

[0116] Specifically, this embodiment first needs to collect as many H-point data domains of the same model of competing products as possible, select the same reference object, and adjust it to the coordinate value based on the same reference object; secondly, the H-point simulation calculation is performed through the RAMSIS ergonomic simulation software to determine the optimal H-point position coordinates. In the setting, the software constrains the other active parts of the dummy to the normal driving position. The dummy's H-point is restricted to the H-point data domain as a single variable simulation solution through the constraint command. The software runs the optimal human-machine comfort command to start the calculation simulation. After the calculation is completed, the dummy's H-point will automatically find the optimal human-machine position in the data domain and fix it, that is, the dummy's optimal H-point coordinates are obtained. This result is a calculation solution based on a large amount of ergonomic bench experiment evaluation database of the software. The obtained result has good reliability and high accuracy, and is more in line with the ergonomic comfort requirements.

[0117] Step S222, comparing the man-machine dimension measurement data with the man-machine dimension standard data to obtain a comparison result.

[0118] Step S224: if the comparison result indicates that the human-machine dimension measurement data is different from the human-machine dimension standard data, a difference between the human-machine dimension measurement data and the human-machine dimension standard data is calculated to obtain a first difference result.

[0119] Step S226, based on the first difference result, the human-machine dimension standard data and the preset error rate, it is determined whether the human-machine dimension measurement data meets the preset requirements.

[0120] The above error rate can be set according to actual conditions. In this embodiment, the error rate can be set to 1%.

[0121] In actual implementation, after obtaining the human-machine dimension measurement data, a consistency evaluation can be performed with the human-machine dimension standard data (that is, the theoretical value determined by the human-machine hard points) to confirm whether the consistency evaluation meets the requirements.

[0122] Specifically, if the human-machine dimension measurement data is the same as the human-machine dimension standard data (that is, the standard value of H30 is the same as the measured value of H30, and the standard value of L53 is also the same as the measured value of L53), it can be directly considered that the human-machine dimension measurement data meets the preset requirements; if the human-machine dimension measurement data is different from the human-machine dimension standard data, the measurement error value of the human-machine dimension measurement data and the human-machine dimension standard data can be calculated (that is, the first difference result, including the difference between the standard value of H30 and the measured value of H30, and the difference between the standard value of L53 and the measured value of L53), if the ratio result of the first difference to the human-machine dimension standard data is less than the preset error rate (that is, the ratio result of the difference between the standard value of H30 and the measured value of H30 and the standard value of H30 is less than 1%, and the ratio result of the difference between the standard value of L53 and the measured value of L53 and the standard value of L53 is also less than 1%), it is considered that the human-machine dimension measurement data meets the preset requirements.

[0123] Further, the scanning parameters include a first scanning parameter; if the man-machine dimension measurement data does not meet the preset requirements, adjust the parameter value corresponding to the first scanning parameter, re-scan the surface of the component to be scanned by the laser scanning device to obtain an eighth three-dimensional scanning data; use the eighth three-dimensional scanning data as new three-dimensional scanning data, and repeat the steps of: if the surface scanning of the component to be scanned is completed, align the three-dimensional scanning data to a preset cab origin coordinate system, and obtain the first three-dimensional scanning data to determine whether the man-machine dimension measurement data meets the preset requirements based on the first difference result, the man-machine dimension standard data and the preset error rate (that is, the above steps S208-S216 and the above steps S222-S226); if the man-machine dimension measurement data still does not meet the preset requirements, output the display result; wherein the display result is used to indicate that the position of the first man-machine hard point does not meet the design requirements.

[0124] The first scanning parameter mentioned above is the scanning accuracy. If the ratio of the first difference to the standard data of the human-machine size is not less than the preset error rate, it may be caused by missing scanned data. The cab and the surface of the dummy can be further scanned with a higher scanning accuracy set by the system. During this evaluation, if the accuracy requirement within 1% is met, the consistency evaluation of the result is completed.

[0125] In the specific implementation process of measuring the human-machine hard point data of the cab prototype, the operator can first place the HPM-II dummy in the cab prototype, and then operate the laser scanning device to scan the cab cockpit and the surface of the dummy to obtain the scanning data. The computer collects and stores the scanning data obtained by the laser scanning device, and feeds back the results to the laser scanning device according to the preset capacity threshold to indicate whether the laser scanning device continues to scan. The operator can also view the scanning data collected and stored in the laser scanning device collected and stored by the computer, and flexibly adjust the scanning angle, area, etc. of the laser scanning device according to the completeness of the data display; then the computer data processing program processes the collected and stored scanning data, and the computer data processing program can also obtain standard cab human-machine hard point data; then the computer data measurement program measures the cab human-machine hard point data according to the scanning data obtained after processing by the computer data processing program, and then performs data consistency evaluation according to the standard cab human-machine hard point data obtained by the computer data processing program. If the evaluation result meets the requirements, the entire measurement process ends. If the evaluation result does not meet the requirements, the operator continues to operate the laser scanning device to scan the cab cockpit and the surface of the dummy.

[0126] The way to determine the standard value of the H point in the industry is generally based on historical design data, and it is impossible to accurately simulate and calculate and determine the H point and other human-machine hard points. At the same time, the consistency between the human-machine hard points of the cab prototype and the theoretical human-machine hard points is also obtained by feeling. The measurement results have large deviations and poor consistency with the theoretical values, and the design quality cannot be guaranteed. If it is put on the market in this way, the poor human-machine position in the cab will easily cause the driver to be easily fatigued or suffer physical damage.

[0127] The method for measuring the human-machine hard point data of the cab prototype provided in this embodiment can be used in the determination of the human-machine hard points of the cab prototype and the data consistency verification and evaluation. Compared with the traditional method, it can conveniently and accurately determine the human-machine hard points of the cab and improve the problems of inaccurate and inconvenient measurement of the human-machine hard points of the cab prototype.

[0128] In order to better understand the above embodiment, reference may be made to the hard point test results of a prototype vehicle shown in Table 1, including standard values ​​of H30 and L53, measured values ​​of H30 and L53 obtained by using the method for measuring the human-machine hard point data of the cab prototype vehicle provided in this embodiment, and measured values ​​of H30 and L53 obtained by using a traditional measurement method (generally using a manual tape measure measurement method to directly measure the human-machine hard point H30 value and L53 value).

[0129] Table 1 Hard point test results of the prototype vehicle

[0130]

[0131] According to the data in Table 1, the two measured values ​​of H30 and the two measured values ​​of L53 are compared with the corresponding standard values ​​for data consistency evaluation. That is, after comparing and analyzing the measured values ​​and the true values, it can be seen that the measurement method provided by the present application improves the accuracy of the man-machine hard point measurement in the cab, avoids large measurement errors affecting the measurement results, and the computer program completes the consistency evaluation of the measurement data and the theoretical data, thereby improving the convenience and accuracy of the man-machine hard point measurement.

[0132] The embodiment of the present invention also provides a device for measuring the hard point data of the human-machine interface of a cab prototype vehicle, wherein a dummy is placed in advance in the cab prototype vehicle; Figure 5 As shown, the device includes: an acquisition module 50, which is used to scan the surface of the part to be scanned by a laser scanning device to obtain three-dimensional scanning data; wherein the part to be scanned includes: a cab cabin and a dummy of a cab prototype vehicle; a judgment module 51, which is used to judge whether the surface of the part to be scanned is scanned based on the three-dimensional scanning data and a preset capacity threshold; an alignment module 52, which is used to align the three-dimensional scanning data to a preset cab origin coordinate system if the surface scanning of the part to be scanned is completed, to obtain first three-dimensional scanning data; a measurement module 53, which is used to pre-process the first three-dimensional scanning data based on a preset processing method, to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine size measurement data.

[0133] The device for measuring the hard point data of the human-machine interface of a cab prototype vehicle provided in this embodiment scans the surface of the component to be scanned by a laser scanning device to obtain three-dimensional scanning data; based on the three-dimensional scanning data and a preset capacity threshold, if it is judged that the surface scanning is completed, the three-dimensional scanning data is aligned to the preset cab origin coordinate system to obtain the first three-dimensional scanning data; the first three-dimensional scanning data is preprocessed based on a preset processing method to obtain the first measurement data corresponding to the first human-machine hard point, the second measurement data corresponding to the second human-machine hard point, and the human-machine dimension measurement data. The device preprocesses the three-dimensional scanning data obtained by scanning the laser scanning device aligned to the cab origin coordinate system by a preset processing method, which can improve the convenience and accuracy of measuring the hard point data of the human-machine interface of the cab prototype vehicle, thereby solving the problem of low convenience and accuracy of measurement in traditional measurement methods.

[0134] Furthermore, the laser scanning device includes: a laser transmitter and a laser receiving camera; the acquisition module is also used to: send a scanning signal to the laser transmitter, so that the laser transmitter transmits a laser to the surface of the component to be scanned, and the laser receiving camera receives the laser reflected back from the surface of the component to be scanned, so as to obtain two-dimensional scanning data; receive the two-dimensional scanning data, and based on the predetermined parameters of the laser receiving camera, convert the two-dimensional scanning data into three-dimensional scanning data according to a preset three-dimensional conversion algorithm.

[0135] Furthermore, the device also includes a calibration module, which is used to:

[0136] A calibration signal is sent to the laser scanning device so that the laser scanning device is aligned with the calibration plate to perform scanning calibration at multiple angles, and the parameter values ​​of the scanning parameters of the laser scanning device in the current environment are obtained.

[0137] Furthermore, the measurement module is also used to:

[0138] Simplifying the first three-dimensional scanning data using a preset simplification processing method to obtain second three-dimensional scanning data;

[0139] Performing reverse processing on the second three-dimensional scanning data using a preset reverse processing method to obtain third three-dimensional scanning data;

[0140] The third three-dimensional scanning data is measured and processed by using a preset measurement method to obtain first measurement data corresponding to the first human-machine hard point and second measurement data corresponding to the second human-machine hard point;

[0141] Based on the first measurement data and the second measurement data, human-machine dimension measurement data is calculated.

[0142] Furthermore, the first three-dimensional scanning data includes: fourth scanning data corresponding to the target surface of the component to be scanned, and fifth scanning data corresponding to the non-target surface of the scanning component; the measuring module is also used for:

[0143] Based on a preset first accuracy, encrypt the fourth scan data to adjust the distance between two adjacent points of each first triangular facet corresponding to the fourth scan data to the first distance, thereby obtaining sixth scan data;

[0144] Based on the preset second precision, the fifth scan data is diluted to adjust the distance between two adjacent points of each second triangular facet corresponding to the fifth scan data to the second distance, thereby obtaining seventh scan data; wherein the first distance is smaller than the second distance; and the first precision is smaller than the second precision;

[0145] Based on the sixth scanning data and the seventh scanning data, second three-dimensional scanning data is obtained.

[0146] Furthermore, the device also includes:

[0147] Based on a preset cab origin coordinate system, first human-machine hard point data of a plurality of target vehicles are acquired, and a data domain of the first human-machine hard point is determined according to each first human-machine hard point data;

[0148] Determine the first human-machine hard point standard data, the second human-machine hard point standard data, and the human-machine size standard data through human-machine engineering simulation software and data domain;

[0149] Compare the man-machine dimension measurement data with the man-machine dimension standard data to obtain a comparison result;

[0150] If the comparison result indicates that the man-machine dimension measurement data is different from the man-machine dimension standard data, a difference between the man-machine dimension measurement data and the man-machine dimension standard data is calculated to obtain a first difference result;

[0151] Based on the first difference result, the human-machine dimension standard data and the preset error rate, it is determined whether the human-machine dimension measurement data meets the preset requirements.

[0152] Furthermore, the scanning parameters include a first scanning parameter; the device also includes: if the human-machine dimension measurement data does not meet the preset requirements, adjusting the parameter value corresponding to the first scanning parameter, re-scanning the surface of the part to be scanned by the laser scanning device to obtain an eighth three-dimensional scanning data; using the eighth three-dimensional scanning data as new three-dimensional scanning data, repeating the step of aligning the three-dimensional scanning data to a preset cab origin coordinate system to obtain the first three-dimensional scanning data if the surface scanning of the part to be scanned is completed, and judging whether the human-machine dimension measurement data meets the preset requirements based on the first difference result, the human-machine dimension standard data and the preset error rate; if the human-machine dimension measurement data still does not meet the preset requirements, outputting the display result; wherein the display result is used to indicate that the position of the first human-machine hard point does not meet the design requirements.

[0153] The device for measuring the human-machine hard point data of a cab prototype vehicle provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned embodiment of the method for measuring the human-machine hard point data of a cab prototype vehicle. For the part of the embodiment of the device for measuring the human-machine hard point data of a cab prototype vehicle, reference may be made to the corresponding contents in the aforementioned embodiment of the method for measuring the human-machine hard point data of a cab prototype vehicle.

[0154] The embodiment of the present invention further provides an electronic device, see Figure 6 As shown, the electronic device includes a processor 130 and a memory 131. The memory 131 stores machine executable instructions that can be executed by the processor 130. The processor 130 executes the machine executable instructions to implement the above-mentioned method for measuring human-machine hard point data of the cab prototype vehicle.

[0155] Further, Figure 6 The electronic device shown further includes a bus 132 and a communication interface 133 , and the processor 130 , the communication interface 133 and the memory 131 are connected via the bus 132 .

[0156] The memory 131 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 133 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 132 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0157] The processor 130 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 130. The above processor 130 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 131, and the processor 130 reads the information in the memory 131 and completes the steps of the method of the above embodiment in combination with its hardware.

[0158] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned method for measuring the human-machine hard point data of the cab prototype vehicle. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0159] The method, device and electronic device for measuring the human-machine hard point data of a cab prototype vehicle provided in an embodiment of the present invention include a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be found in the method embodiment and will not be repeated here.

[0160] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for measuring the human-machine hard point data of a cab prototype vehicle, characterized in that: A dummy is pre-placed in the cab prototype vehicle; the method comprises: Scanning the surface of the component to be scanned by a laser scanning device to obtain three-dimensional scanning data; wherein the component to be scanned includes: a cab cabin of a cab prototype vehicle and a dummy; Based on the three-dimensional scanning data and a preset capacity threshold, determining whether the surface of the component to be scanned has been scanned; If the surface scanning of the component to be scanned is completed, aligning the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data; The first three-dimensional scanning data is preprocessed based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine size measurement data.

2. The method according to claim 1, characterized in that: The laser scanning device comprises: a laser transmitter and a laser receiving camera; the steps of scanning the surface of the component to be scanned by the laser scanning device to obtain three-dimensional scanning data include: Sending a scanning signal to the laser transmitter, so that the laser transmitter transmits laser light to the surface of the component to be scanned, and the laser receiving camera receives the laser light reflected back from the surface of the component to be scanned, thereby obtaining two-dimensional scanning data; The two-dimensional scanning data is received, and based on predetermined parameters of the laser receiving camera, the two-dimensional scanning data is converted into three-dimensional scanning data according to a preset three-dimensional conversion algorithm.

3. The method according to claim 2, characterized in that The steps before sending the scanning signal to the laser transmitter also include: A calibration signal is sent to the laser scanning device so that the laser scanning device is aligned with the calibration plate to perform scanning calibration at multiple angles, and parameter values ​​of the scanning parameters of the laser scanning device in the current environment are obtained.

4. The method according to claim 1, characterized in that: The step of preprocessing the first three-dimensional scanning data based on a preset processing method to obtain first measurement data corresponding to a first human-machine hard point, second measurement data corresponding to a second human-machine hard point, and human-machine dimension measurement data also includes: Simplifying the first three-dimensional scanning data using a preset simplification processing method to obtain second three-dimensional scanning data; Performing reverse processing on the second three-dimensional scanning data using a preset reverse processing method to obtain third three-dimensional scanning data; The third three-dimensional scanning data is measured and processed by using a preset measurement method to obtain first measurement data corresponding to the first human-machine hard point and second measurement data corresponding to the second human-machine hard point; Based on the first measurement data and the second measurement data, human-machine dimension measurement data is calculated.

5. The method according to claim 4, characterized in that The first three-dimensional scanning data includes: fourth scanning data corresponding to the target surface of the component to be scanned, and fifth scanning data corresponding to the non-target surface of the scanning component; and the step of simplifying the first three-dimensional scanning data using a preset simplified processing method to obtain the second three-dimensional scanning data also includes: Based on a preset first accuracy, encrypting the fourth scan data to adjust the distance between two adjacent points of each first triangular facet corresponding to the fourth scan data to the first distance, thereby obtaining sixth scan data; Based on a preset second precision, the fifth scan data is diluted to adjust the distance between two adjacent points of each second triangular facet corresponding to the fifth scan data to a second distance, thereby obtaining seventh scan data; wherein the first distance is smaller than the second distance; and the first precision is smaller than the second precision; The second three-dimensional scanning data is obtained based on the sixth scanning data and the seventh scanning data.

6. The method according to claim 3, characterized in that The method further comprises: Based on the preset cab origin coordinate system, acquiring first human-machine hard point data of multiple target vehicles, and determining a data domain of the first human-machine hard point according to each of the first human-machine hard point data; Determine the first ergonomic hard point standard data, the second ergonomic hard point standard data, and the ergonomic dimension standard data through the ergonomic simulation software and the data domain; Compare the man-machine dimension measurement data with the man-machine dimension standard data to obtain a comparison result; If the comparison result indicates that the man-machine dimension measurement data is different from the man-machine dimension standard data, calculating the difference between the man-machine dimension measurement data and the man-machine dimension standard data to obtain a first difference result; Based on the first difference result, the human-machine dimension standard data and a preset error rate, it is determined whether the human-machine dimension measurement data meets preset requirements.

7. The method according to claim 6, characterized in that , the scanning parameters include a first scanning parameter; the method further includes: If the human-machine dimension measurement data does not meet the preset requirements, adjust the parameter value corresponding to the first scanning parameter, and re-scan the surface of the component to be scanned by the laser scanning device to obtain eighth three-dimensional scanning data; The eighth three-dimensional scanning data is used as new three-dimensional scanning data, and the steps of aligning the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data are repeated if the surface scanning of the component to be scanned is completed, and judging whether the man-machine dimension measurement data meets preset requirements based on the first difference result, the man-machine dimension standard data and the preset error rate; If the human-machine dimension measurement data still does not meet the preset requirements, output a display result; wherein the display result is used to indicate that the position of the first human-machine hard point does not meet the design requirements.

8. A device for measuring the hard point data of the human-machine interface of a cab prototype vehicle, characterized in that: A dummy is placed in advance in the cab prototype; the device comprises: An acquisition module is used to scan the surface of the component to be scanned by a laser scanning device to obtain three-dimensional scanning data; wherein the component to be scanned includes: a cab cabin and a dummy of a cab prototype vehicle; A judgment module, used for judging whether the surface of the component to be scanned has been scanned based on the three-dimensional scanning data and a preset capacity threshold; An alignment module, configured to align the three-dimensional scanning data to a preset cab origin coordinate system to obtain first three-dimensional scanning data if the surface scanning of the component to be scanned is completed; The measurement module is used to pre-process the first three-dimensional scanning data based on a preset processing method to obtain first measurement data corresponding to the first human-machine hard point, second measurement data corresponding to the second human-machine hard point, and human-machine size measurement data.

9. An electronic device, characterized in that: The electronic device includes a processor and a memory, the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the method for measuring human-machine hard point data of a cab prototype vehicle as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to implement the method for measuring the human-machine hard point data of the cab prototype vehicle as described in any one of claims 1 to 7.

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