CN115482693A - Training method and device for road test detection technology of commercial vehicle - Google Patents
Training method and device for road test detection technology of commercial vehicle Download PDFInfo
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- CN115482693A CN115482693A CN202211060661.4A CN202211060661A CN115482693A CN 115482693 A CN115482693 A CN 115482693A CN 202211060661 A CN202211060661 A CN 202211060661A CN 115482693 A CN115482693 A CN 115482693A
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Abstract
The invention provides a training method and a training device for a road test detection technology of a commercial vehicle, which comprises the following steps: s1, a detection end collects voice information and operation image information of detection personnel and sends the voice information and the operation image information to a learning end, the learning end receives, plays and displays the voice information and the operation image information, and a student simulates the operation of the learning detection personnel at the learning end and simulates preparation work of a test in a virtual scene; and S2, the detection end collects scene information of the dynamic test road condition and transmits the scene information to the learning end in real time, and the students perform dynamic simulation test operation under a simulation scene according to the scene information collected in real time. According to the invention, the detection work flow is acquired in the whole process and transmitted to the learning end for display, the consistency of the detection end and the learning end is high, the operation of the learning end and the test of a student are synchronously carried out, the simultaneous and synchronous learning of multiple persons is realized, and the popularization of the detection method is facilitated.
Description
Technical Field
The invention belongs to the technical field of automobile detection teaching, and particularly relates to a training method and device for a commercial vehicle road test detection technology.
Background
With the rapid development of economy in China, a large number of commercial vehicles such as freight vehicles and engineering vehicles are widely applied. The road test of the commercial vehicle is an important means for checking the safety of the vehicle, and the application conditions of the vehicle are very complex, so that the detection conditions are relatively harsh, the test process is complex, and the risk coefficient is high, so that most of the conventional detection modes aiming at the commercial vehicle are a driving detection mode (a driver and a detector). The study personnel can not study with the first visual angle intuitively, so that the study effect is poor, the teaching efficiency is low, and the limitation of study and popularization of the detection method is increased.
The existing test method teaching mainly takes theoretical teaching as the main teaching or intermittently develops teaching in a field guidance mode of a detector outside a test field before the test starts each time, the learning effect is poor, and the consumed time and the cost are high; therefore, the patent application designs a training method and a training device for a road test detection technology of a commercial vehicle.
Disclosure of Invention
In view of the above, the invention aims to provide a training method and a training device for a road test detection technology of a commercial vehicle, so as to solve the problems of poor teaching and learning effects, and high consumed time and cost of the existing test method.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
in a first aspect, the invention provides a training method for a road test detection technology of a commercial vehicle, which comprises the following steps:
s1, preparing a vehicle road test at a detection end by a detection person; the method comprises the following steps that a detection end collects voice information and operation image information of detection personnel and sends the voice information and the operation image information to a learning end, the learning end receives, plays and displays the voice information and the operation image information, and a student simulates the operation of the learning detection personnel at the learning end and simulates preparation work of a test in a virtual scene;
s2, the detection personnel develop a vehicle road dynamic test, the detection end collects road condition scene information of the dynamic test and transmits the scene information to the learning end in real time, and the students perform dynamic simulation test operation under a simulation scene according to the scene information collected in real time.
Further, step S1 specifically includes the following method:
the preparation work for carrying out the vehicle road test at the detection end comprises the following steps: installing test equipment, setting test vehicle parameters and debugging the test equipment;
after the debugging work is finished, the detection personnel states the operation of each step in the preparation work, explains the important steps in detail, and acquires the voice information of the detection personnel and sends the voice information to the learning end by the detection end;
the detection end collects operation images in a cab of the test vehicle, data processing is carried out on the collected operation image information, and the processed operation image information is displayed in a three-dimensional operation scene mode.
Further, step S1 further includes: the student learns the preparation work flow of the detection personnel according to the played voice information and the displayed three-dimensional operation scene, and performs virtual operation of test preparation work in the virtual scene.
Further, step S2 specifically includes the following steps:
after the preparation work is ready, the test vehicle is driven to a test road surface to carry out a test;
the method comprises the steps that a detection end collects dynamic test road condition scene information, data processing is carried out on the scene information to obtain a three-dimensional driving scene, and the three-dimensional driving scene is displayed;
the detection personnel state the operation of each step in the detection process, the key steps are explained in detail, the detection end collects the voice information of the detection personnel and sends the voice information to the learning end, the student learns the operation instructions of the detection personnel in the test process and carries out virtual operation, and the vehicle running condition in the test process is simulated and sensed.
In a second aspect, the present invention provides a training apparatus for a road test detection technique of a commercial vehicle, which applies the training method for a road test detection technique of a commercial vehicle according to the first aspect, wherein the training apparatus comprises: the device comprises detection end equipment and learning end equipment;
the detection end equipment comprises a first image acquisition device, a second image acquisition device, a detection device and a voice acquisition device; the device comprises a first image acquisition device, a second image acquisition device, a learning terminal device and a voice acquisition device, wherein the first image acquisition device is used for acquiring test operation scene information of a tester, the second image acquisition device is used for acquiring road condition change scene information in the test process, the detection device is used for detecting speed change and steering angle change of a copilot, and transmitting acquired speed data and steering angle data to the learning terminal device;
the learning terminal equipment comprises an image display device, an image processing device, a simulation seat, an operating handle and a loudspeaker; the image processing device is connected with the image acquisition device through a wireless network, received image information is converted into a three-dimensional scene which can be used for the image display device to display, a student performs corresponding operation in the virtual display scene by using an operation handle according to operation steps of detection personnel, the simulation seat is used for simulating a road condition scene in the test process, and the loudspeaker is used for receiving voice information acquired by the voice acquisition device in real time and playing the voice information.
Furthermore, the simulated seat comprises a safety belt, a base, a steering mechanism, a swinging mechanism, a processor and an electric control device;
the processor obtains actual acceleration, steering angle and swing value according to the received speed data and steering angle data, and processes to obtain a control signal of the simulation seat, and the electric control device controls the simulation seat to incline and rotate according to the control signal, so that the motion of the simulation seat is consistent with that of the co-pilot seat;
the swing mechanism and the steering mechanism are used for simulating vehicle state change in a vehicle test process and sideslip and rotation conditions caused by uneven braking force of each shaft and different road surface adhesion coefficients at two sides of a wheel;
the steering mechanism comprises a steering shaft and a control motor, the lower end of the steering shaft is connected with the output end of the control motor, the upper end of the steering shaft is connected with the center of the bottom surface of the base, the control motor is arranged on the base, and the electric control device controls the steering shaft to act according to corresponding signals;
the swing mechanism comprises a swing motor, and the swing motor is arranged below the base and used for controlling the simulation seat to swing.
Further, the speed data includes a vehicle running curvature radius R, and the calculation formula is:
wherein Vforward is the instantaneous vehicle speed and AngRate is the instantaneous angular speed.
Further, the method also comprises the vehicle instantaneous lateral acceleration, and the calculation formula is as follows:
a y is the instantaneous lateral acceleration of the vehicle, a' y The lateral acceleration is acquired by the acceleration sensor, g is the gravity acceleration, and phi is the vehicle body roll angle.
Compared with the prior art, the training method and the training device for the road test detection technology of the commercial vehicle have the following beneficial effects:
(1) The training method and the training device for the road test detection technology of the commercial vehicle collect and detect the working process in the whole process, transmit the working process to the learning end for display, have high consistency between the detection end and the learning end, and synchronously perform the operation and the test of the learning end of the student, realize synchronous learning of multiple persons at the same time, and are favorable for popularization of the detection method.
(2) The training method and the training device for the road test detection technology of the commercial vehicle can realize real-time simulation of the vehicle state through the steering mechanism and the swing mechanism of the seat, realize safety simulation and ensure the safety of learners;
(3) According to the training method and device for the commercial vehicle road test detection technology, the rolling radius of the test vehicle is determined through the calibration of the high-precision wheel speed sensor and the radar velocimeter, the accuracy of the instantaneous speed of the test vehicle is improved, and the accuracy of the detection method is further improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of a training apparatus for virtual reality technology-based detection technology according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating an interaction process between a detecting end and a learning end according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating positions of a main display area and an auxiliary display area in a virtual scene according to an embodiment of the invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 1, in a first embodiment, the embodiment of the present invention provides a training method for a road test detection technology of a commercial vehicle, including the following steps:
firstly, preparing a vehicle road test at a detection end by a detection person; the voice information and the operation image information of the detection personnel are collected by the detection end and are sent to the learning end, the learning end receives, plays and displays the voice information and the operation image information, and the student simulates the operation of the learning detection personnel at the learning end and simulates the preparation work of the test in a virtual scene.
The detection personnel performs preparation work such as instrument installation, parameter setting, equipment debugging and the like; the method comprises the following steps that a detector selects equipment such as a high-precision wheel speed sensor, a gyroscope, a measuring steering wheel, a robot, a data collector and the like to install according to test operation rules and test requirements;
the high-precision wheel speed sensors are arranged on wheels on two sides of the test vehicle, can measure the wheel speed accurately, and determine the instantaneous speed of the test vehicle by combining the rolling radius of the vehicle;
the gyroscope is arranged on a rigid structure of a front passenger seat, and vehicle parameters and accurate coordinates of the vehicle parameters relative to a test vehicle are input into the gyroscope and are used for measuring the vehicle body roll angle, the lateral acceleration, the yaw angular velocity and the like of the test vehicle;
the measuring steering wheel is arranged on the steering wheel of the test vehicle, is reinforced so as not to move relative to the steering wheel of the test vehicle, and is used for reading the steering angle of the steering wheel and the torque acting on the steering wheel;
the robot is arranged in the cab and is connected with the measuring steering wheel, and does not move relative to the cab. Inputting corresponding data to control the rotation speed, angle, torque and the like of the steering wheel;
the data acquisition unit is arranged in the cab and can be connected with the equipment according to test requirements to measure a series of parameters such as vehicle running curvature radius, yaw velocity, vehicle body roll angle, lateral acceleration, vehicle instantaneous velocity, steering wheel angle, steering wheel torque, detection time and the like, wherein the vehicle running curvature radius, the yaw velocity, the vehicle body roll angle and the lateral acceleration are used as test results of the test vehicle and also used as import data of the learning end processor; parameters such as the instantaneous speed of the vehicle, the steering wheel angle, the steering wheel torque, the detection time and the like can be saved as original data processed after the test according to the test requirements.
The detection personnel state the operation of each step in the preparation work, explain the important step in detail, the pronunciation adopts the device to gather detection personnel's speech information to send speech information to the study end.
The first image acquisition device acquires images in the cab, transmits acquired image information to the image processing device, obtains a three-dimensional operation scene through processing of the image processing device, transmits the three-dimensional operation scene to the image display device, and displays the three-dimensional operation scene in a main display area of the image display device.
At the learning end, the voice information of the detection personnel is played at the learning end through a loudspeaker to serve as a field instruction in the teaching process, so that the student can know the key details of the operation process;
the student learns the preparation work flow of the detection personnel through the voice information played by the loudspeaker and the three-dimensional operation scene displayed by the image display device, and performs virtual operation of test preparation work in the virtual scene by using the handle; if the problems of wiring errors, inconsistent parameter setting and the like exist in the preparation process, the alarm sends out a visual warning signal and an auditory warning signal, and the visual warning signal and the auditory warning signal exist all the time until the operation is correct.
And step two, the detection personnel develop a vehicle road dynamic test, the detection end collects the scene information of the dynamic test road condition and transmits the scene information to the learning end in real time, and the students perform dynamic simulation test operation under a simulation scene according to the scene information collected in real time.
After the preparation is ready, a professional driver drives the test vehicle and drives the test vehicle to the test road surface according to the instruction of an inspector to carry out a test according to related requirements, the second image acquisition device acquires scene information such as test environment and road surface information in real time, the scene information is sent to the image processing device, a three-dimensional driving scene is obtained through processing of the image processing device, the three-dimensional driving scene is sent to the image display device, and the three-dimensional driving scene is displayed in a secondary display area of the image display device.
The detection personnel state the operation of each step in the detection process, explain the important step in detail, the pronunciation adopts the device to gather detection personnel's speech information to send speech information to the study end.
The existing speed measurement method mostly adopts a GPS to collect and test the speed, and because the GPS system has limited precision and is usually used for measuring the average speed within a period of time, the GPS system is used for testing the speed, and a certain error exists in the result; the invention adopts a high-precision wheel speed sensor to measure the instantaneous wheel speed n of the vehicle, and combines the rolling radius of the vehicle to measure the rolling radius i to obtain more accurate instantaneous speed Vflash of the vehicle, and the calculation formula is as follows:
Vforward＝2πi·n；
because there is the difference in different vehicle rolling radius, in order to make the rolling radius value more accurate, adopt radar velocimeter to monitor vehicle instantaneous speed before experimental at every turn, through the vehicle instantaneous speed V adjustment rolling radius i's that measures the standard radar velocimeter numerical value, make it satisfy:
at the moment, the instantaneous speed Vflash of the vehicle obtained by the high-precision wheel speed sensor is consistent with the radar speed measurement result V.
The detection end collects the instantaneous speed and the yaw angular speed of the vehicle to calculate the running curvature radius R of the vehicle:
wherein Vford is the instantaneous speed of the vehicle, angrate is the instantaneous angular speed, and the learning end simulation seat adjusts the posture of the student seat according to the running curvature radius value R of the vehicle.
The lateral acceleration a of each time is calculated to make the student feel the same while adjusting the posture y :
a y Is instantaneous lateral acceleration, a' y Is the lateral acceleration indicated by the acceleration sensor, g is the gravitational acceleration,
the vehicle body roll angle is acquired by a gyroscope.
In the running process of the test vehicle, information such as the instantaneous speed, the yaw angular velocity, the vehicle body side inclination angle, the lateral acceleration, the vehicle running curvature radius and the like of the vehicle is obtained through equipment such as a high-precision wheel speed sensor, a data acquisition device and a gyroscope, the information is processed by a processor to obtain the actual instantaneous lateral acceleration, the actual seat side inclination angle and the actual seat deflection angle of the copilot, and then control signals of the seat are obtained.
When the seat movement is controlled, the test environment and the road surface information in the running process of the test vehicle are displayed through the auxiliary display area of the image display device, so that the trainees can feel personally on the scene.
In the test process, the voice information of the detection personnel is played through the loudspeaker on the seat, so that the student can learn the operation instruction of the detection personnel in the test process.
As shown in fig. 2, in a second embodiment of the present invention, a training apparatus for a road test detection technique of a commercial vehicle using the training method for a road test detection technique of a commercial vehicle in the first embodiment is further provided, and the training apparatus includes: the device comprises detection end equipment and learning end equipment;
the detection end equipment comprises an image acquisition device, a detection device and a voice acquisition device;
the image acquisition device (can be a camera) is arranged inside a cab of the test vehicle and comprises a first image acquisition device and a second image acquisition device, the first image acquisition device is fixed on the left side of a headrest of a seat of a co-pilot for acquiring test operation scenes of detection personnel, and the second image acquisition device is arranged at the upper part of a front windshield glass and used for acquiring road condition change scenes in the test process and comprises scene information such as test environment, road surface information and the like.
The detection device comprises a high-precision wheel speed sensor, a gyroscope, a measuring steering wheel, a robot, a data acquisition unit and the like;
the high-precision wheel speed sensors are arranged on wheels on two sides of the test vehicle, can measure the wheel speed accurately, and determine the instantaneous speed of the test vehicle by combining the rolling radius of the vehicle;
the gyroscope is arranged on a rigid structure of a front passenger seat, and vehicle parameters and accurate coordinates of the vehicle parameters relative to a test vehicle are input into the gyroscope and are used for measuring the vehicle body roll angle, the lateral acceleration, the yaw angular velocity and the like of the test vehicle;
the measuring steering wheel is arranged on the steering wheel of the test vehicle, is reinforced so as not to move relative to the steering wheel of the test vehicle, and is used for reading the steering angle of the steering wheel and the torque acting on the steering wheel;
the robot is arranged in the cab and is connected with the measuring steering wheel, and does not move relative to the cab. Corresponding data can be input to control the rotating speed, the angle, the torque and the like of the steering wheel;
the data acquisition unit is arranged in the cab and can be connected with the equipment according to test requirements to measure a series of parameters such as vehicle running curvature radius, yaw angular velocity, vehicle body side inclination angle, lateral acceleration, vehicle instantaneous velocity, steering wheel corner, steering wheel torque, detection time and the like, wherein the vehicle running curvature radius, the yaw angular velocity, the vehicle body side inclination angle and the lateral acceleration are used as test vehicle test results and also used as lead-in data of the learning end processor; parameters such as vehicle instantaneous speed, steering wheel rotation angle, steering wheel torque, detection time and the like can be saved as raw data processed after the test according to test requirements.
And the voice acquisition device is arranged on the right side of the top of the copilot and is used for acquiring voice information of detection personnel.
The learning terminal equipment comprises an image display device, an image processing device, a simulation seat, an operating handle and a loudspeaker;
and the image processing device is connected with the image acquisition device through a wireless network and converts the received image information into a three-dimensional scene which can be displayed by the image display device. The output end of the image processing device is connected with the output end of the image display device, and the three-dimensional scene is transmitted to the image display device to be displayed.
The image display device (which can be a VR display screen or VR glasses) is used for receiving the data information transmitted from the image processing device in real time, the image display device presents a virtual scene of cab and road information, and instrument equipment required by an automobile road test is arranged in the scene and is used for preparation work before a learner simulates the test. As shown in fig. 3, the front windshield of the virtual scene is set as two areas, namely a main display and an auxiliary display area, the whole front windshield range is the main display area and is used for displaying the operation image of the detection personnel in the cab of the detection end, and the auxiliary display area is positioned at the lower right corner of the main display area and is used for displaying the road condition scene in the driving process of the test vehicle of the detection end, so that the learning personnel can observe the operation steps of the detection personnel and the road condition change condition in the test process.
A handle: the student uses the handle to perform corresponding operation according to the operation steps of the detection personnel in the virtual display scene; the student end is also provided with an alarm module for giving out a warning when the student has the problems of dangerous operation, wrong wiring, inconsistent parameter setting and the like.
The high-precision wheel speed sensor measures the wheel speed accurately, the instantaneous speed of the test vehicle is determined by combining the rolling radius of the vehicle, the gyroscope measures the roll angle, the lateral acceleration, the yaw angular velocity and the like of the vehicle body of the test vehicle, the data acquisition unit is connected with the equipment according to the test requirement, and a required algorithm is input to acquire and display a series of parameters such as the instantaneous speed, the yaw angular velocity, the roll angle, the lateral acceleration, the running curvature radius and the like of the vehicle.
The simulation seat comprises a safety belt, a base, a steering mechanism, a swinging mechanism, a processor and an electric control device; the processor obtains a control signal of the simulation seat after data processing according to the received information of the instantaneous speed, the yaw angular velocity, the vehicle body roll angle, the lateral acceleration, the vehicle running curvature radius and the like of the vehicle, and the electric control device controls the seat to incline and rotate according to the control signal so that the seat and the front passenger seat move in the same direction.
The swing mechanism and the steering mechanism are used for simulating vehicle state change in a vehicle test process, and sideslip, rotation and other conditions caused by factors such as uneven braking force of each shaft, difference of road surface adhesion coefficients on two sides of a wheel and the like.
The steering mechanism comprises a steering shaft and a control motor, the lower end of the rotating shaft is connected with the output end of the control motor, the upper end of the rotating shaft is connected with the center of the bottom surface of the base, and the control motor is arranged on the base. The electric control device controls the transmission shaft to act according to the corresponding signal.
The swing mechanism comprises a swing motor, and the swing motor is arranged below the base and used for controlling the seat to swing.
When the vehicle runs at a constant speed, the seat keeps a stable state.
When the speed changes
When the wheel speed sensor detects that the vehicle is decelerated, controlling the simulation seat to move backwards in an accelerated manner to generate the deceleration corresponding to the passenger seat at the detection end; when the wheel speed sensor detects that the vehicle is accelerated, the simulation seat is controlled to move forwards in an accelerated mode to generate acceleration corresponding to the passenger seat at the detection end.
When the test vehicle is turned
When the vehicle turns to the direction, the simulation seat is controlled to adjust the inclination angle and rotate according to the running curvature radius and the lateral acceleration of the vehicle, and the inclination angle is proportional to the lateral acceleration; and obtaining the instantaneous steering angle of the vehicle through integral calculation by utilizing the instantaneous speed and the curvature radius of the vehicle when the test vehicle steers, wherein the rotating angle of the seat is consistent with the steering angle of the vehicle.
The loudspeakers are arranged on the left side and the right side of the upper end of the simulated chair back and used for receiving the voice information collected by the voice collecting device in real time and playing the voice information.
The specific embodiment is as follows:
learning for an anti-lock brake performance test; the detection process relates to various working conditions of different loads, different adhesion coefficients of road surfaces and no vehicle speed, the test process is complex, and the risk coefficient is high; taking an N3-class truck as an example, a detection-end detector performs preparation for a test before dynamic testing, and the detector is correctly connected with a high-precision wheel speed sensor, a pressure sensor, a speedometer, a data acquisition unit and other devices, and performs corresponding parameter setting, such as working voltage and range of the pressure sensor, and rolling radius of the high-precision wheel speed sensor. The operation process is collected by the first image collecting device, and the operation instruction is collected by the voice collecting device and transmitted to the learning end in real time.
The learning end image processing device receives and processes the image information of the detection end, and the processed image information is displayed in the main display area; the operation instruction is played through the loudspeaker. And the learner completes corresponding preparation work in sequence according to the content of the main display area and the operation instruction. If the preparation process of the learner has the problems of wiring errors, inconsistent parameter settings and the like, such as: and when the high-precision wheel speed sensor parameter is set wrongly, the alarm gives out a voice prompt and displays a flickering exclamation mark image at the upper left corner of the main display area, and when the student corrects the error, the voice prompt and the exclamation mark image disappear.
The preparation is ready, and the detection personnel at the detection end drive the test vehicle to the test pavement to carry out the test according to the requirements of regulations. And stopping the vehicle at the departure position, accelerating to a specified speed, driving to the specified road surface, and quickly braking after reaching the specified road surface to stop the test vehicle. In this process, the detection end detecting device collects the speed change and the steering angle change of the passenger seat. And the second image acquisition device transmits the acquired speed data and steering data to the learning end in real time. The learning end processor obtains actual acceleration, rotation angle and swing value according to the received speed data and steering data, and processes the obtained control signal of the seat, and the electric control device controls the seat to incline and rotate according to the control signal, so that the seat and the co-driver seat move in a consistent manner.
In the test process, dangerous conditions such as vehicle sideslip or rotation and the like caused by the problems of uneven braking force of the vehicle, uneven water film of a road surface, ABS failure and the like can be met. The learning end can receive the motion data at the same time, and controls the seat to complete corresponding motion under the action of the electric control device, so that a student can not be injured under the protection of the safety belt, and can feel the real state in the test process.
Besides the study of the anti-blocking brake performance test, the training device and the training method for the road test detection technology of the commercial vehicle can also be used for teaching of tests such as a performance test of an electronic stability control system of the commercial vehicle, a curve brake test, a steering force and operation stability test and the like.
Those of ordinary skill in the art will appreciate that the various illustrative components and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the components and steps of the various examples have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed method and system may be implemented in other ways. For example, the above described division of elements is merely a logical division, and other divisions may be realized, for example, multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not executed. The units may or may not be physically separate, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (8)
1. A training method for a road test detection technology of a commercial vehicle is characterized by comprising the following steps:
s1, preparing a vehicle road test at a detection end by a detection person; the method comprises the following steps that a detection end collects voice information and operation image information of detection personnel and sends the voice information and the operation image information to a learning end, the learning end receives, plays and displays the voice information and the operation image information, and a student simulates the operation of the learning detection personnel at the learning end and simulates preparation work of a test in a virtual scene;
s2, the detection personnel develop a vehicle road dynamic test, the detection end collects road condition scene information of the dynamic test and transmits the scene information to the learning end in real time, and the students perform dynamic simulation test operation under a simulation scene according to the scene information collected in real time.
2. The training method for the road test detection technology of the commercial vehicle as claimed in claim 1, wherein the step S1 specifically comprises the following steps:
the preparation work for carrying out the vehicle road test at the detection end comprises the following steps: installing test equipment, setting test vehicle parameters and debugging the test equipment;
after the debugging work is finished, the detection personnel states the operation of each step in the preparation work, explains the important steps in detail, and acquires the voice information of the detection personnel and sends the voice information to the learning end by the detection end;
the detection end collects operation images in the cab of the test vehicle, data processing is carried out on the collected operation image information, and the processed operation image information is displayed in a three-dimensional operation scene mode.
3. The training method for the road test detection technology of the commercial vehicle as claimed in claim 2, wherein the step S1 further comprises: and the student learns the preparation work flow of the detection personnel according to the played voice information and the displayed three-dimensional operation scene, and performs virtual operation of test preparation work in the virtual scene.
4. The training method for the road test detection technology of the commercial vehicle as claimed in claim 1, wherein the step S2 specifically comprises the following steps:
after the preparation work is ready, the test vehicle is driven to a test road surface to carry out a test;
the method comprises the steps that a detection end collects dynamic test road condition scene information, data processing is carried out on the scene information to obtain a three-dimensional driving scene, and the three-dimensional driving scene is displayed;
the detection personnel state the operation of each step in the detection process, the important steps are explained in detail, the detection end collects the voice information of the detection personnel and sends the voice information to the learning end, the student learns the operation instruction of the detection personnel in the test process, virtual operation is carried out, and the vehicle running condition in the test process is simulated and sensed.
5. A training apparatus for a road test inspection technique of a commercial vehicle to which a training method for a road test inspection technique of a commercial vehicle according to any one of claims 1 to 4 is applied, the training apparatus comprising: the device comprises a detection end device and a learning end device;
the detection end equipment comprises a first image acquisition device, a second image acquisition device, a detection device and a voice acquisition device; the device comprises a first image acquisition device, a second image acquisition device, a learning terminal device and a voice acquisition device, wherein the first image acquisition device is used for acquiring test operation scene information of a tester, the second image acquisition device is used for acquiring road condition change scene information in the test process, the detection device is used for detecting speed change and steering angle change of a copilot, and transmitting acquired speed data and steering angle data to the learning terminal device;
the learning terminal equipment comprises an image display device, an image processing device, a simulation seat, an operating handle and a loudspeaker; the image processing device is connected with the image acquisition device through a wireless network, received image information is converted into a three-dimensional scene which can be used for the image display device to display, a student uses an operation handle to perform corresponding operation in the virtual display scene according to the operation steps of a detection worker, the simulation seat is used for simulating a road condition scene in the test process, and the loudspeaker is used for receiving voice information acquired by the voice acquisition device in real time and playing the voice information.
6. The training device for the road test detection technology of the commercial vehicle as claimed in claim 5, wherein: the simulation seat comprises a safety belt, a base, a steering mechanism, a swinging mechanism, a processor and an electric control device;
the processor obtains actual acceleration, steering angle and swing value according to the received speed data and steering angle data, and processes the actual acceleration, steering angle and swing value to obtain a control signal of the simulation seat, and the electric control device controls the simulation seat to incline and rotate according to the control signal to enable the simulation seat and the front passenger seat to move consistently;
the swing mechanism and the steering mechanism are used for simulating vehicle state change in a vehicle test process and sideslip and rotation conditions caused by uneven braking force of each shaft and different road surface adhesion coefficients at two sides of a wheel;
the steering mechanism comprises a steering shaft and a control motor, the lower end of the steering shaft is connected with the output end of the control motor, the upper end of the steering shaft is connected with the center of the bottom surface of the base, the control motor is arranged on the base, and the electric control device controls the steering shaft to act according to corresponding signals;
the swinging mechanism comprises a swinging motor, and the swinging motor is arranged below the base and used for controlling the simulation seat to swing.
7. The training device for the road test detection technology of the commercial vehicle as claimed in claim 6, wherein: the speed data includes a vehicle running radius of curvature R, and the calculation formula is as follows:
wherein Vforward is the instantaneous vehicle speed and AngRate is the instantaneous angular speed.
8. The training device for the road test detection technology of the commercial vehicle as claimed in claim 7, wherein: the method also comprises the vehicle instantaneous lateral acceleration, and the calculation formula is as follows:
a y is the instantaneous lateral acceleration of the vehicle, a' y The lateral acceleration is acquired by the acceleration sensor, g is the gravity acceleration, and phi is the vehicle body roll angle.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116452050A (en) * | 2023-04-18 | 2023-07-18 | 山东大迈车业有限公司 | Electric vehicle frame processing quality inspection analysis system based on data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116452050A (en) * | 2023-04-18 | 2023-07-18 | 山东大迈车业有限公司 | Electric vehicle frame processing quality inspection analysis system based on data analysis |
| CN116452050B (en) * | 2023-04-18 | 2023-09-12 | 山东大迈车业有限公司 | Electric vehicle frame processing quality inspection analysis system based on data analysis |
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