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CN-121994512-A - Automatic detection method, device and system for vehicle sunroof

CN121994512ACN 121994512 ACN121994512 ACN 121994512ACN-121994512-A

Abstract

The invention provides an automatic detection method, device and system for a vehicle skylight, and relates to the technical field of intelligent automobile manufacturing, wherein the method comprises the steps of identifying a vehicle identifier of a vehicle to be detected and acquiring detection reference information of the vehicle to be detected based on the vehicle identifier; the method comprises the steps of starting a skylight vision system of a vehicle to be detected, collecting a template image of the skylight of the vehicle to be detected in a starting point state, sending a test instruction to a control module of the skylight, controlling the skylight to act according to the test instruction, recording action data and sound data generated in the action process of the skylight, and automatically detecting the action data and the sound data by taking detection reference information and the template image as references to generate a detection result of the skylight. The automatic detection method, the automatic detection device and the automatic detection system for the vehicle sunroof realize zero manual intervention, effectively avoid subjective differences among different detection personnel, and are beneficial to improving the detection efficiency, so that the automatic detection requirement of the whole vehicle off-line is met.

Inventors

  • HU XIAO
  • LEI YONGFU
  • LUO JIE

Assignees

  • 奇瑞汽车股份有限公司

Dates

Publication Date
20260508
Application Date
20260327

Claims (10)

  1. 1. An automated inspection method for a sunroof of a vehicle, the method comprising: identifying a vehicle identifier of a vehicle to be detected, and acquiring detection reference information of the vehicle to be detected based on the vehicle identifier; starting a skylight vision system of the vehicle to be detected, and acquiring a template image of a skylight of the vehicle to be detected in a starting point state through the skylight vision system; the method comprises the steps of receiving a test instruction from a control module of the skylight, and controlling the skylight to act according to the test instruction; and automatically detecting the action data and the sound data by taking the detection reference information and the template image as references to generate a detection result of the skylight.
  2. 2. The method of claim 1, wherein the step of sending a test command to a control module of the skylight to control the skylight to act in accordance with the test command comprises: Sequentially sending corresponding test instructions to a control module of the skylight according to a preset detection flow so as to control the skylight to sequentially execute actions according to the detection flow; the detection flow at least comprises one of a whole-course motion test, an anti-pinch safety function test, a sunshade curtain linkage test and a position memory function test.
  3. 3. The method of claim 2, wherein the step of recording motion data and sound data generated by the skylight during motion comprises: Recording data generated by the skylight when each detection process is executed, and collecting sound data generated by the skylight when each detection process is executed through a preset microphone.
  4. 4. A method according to claim 3, wherein the step of recording data generated by the skylight in performing each of the inspection processes comprises: if the skylight executes the full-range motion test, recording and acquiring image data of the skylight through the skylight vision system according to a preset time interval in the full-range motion process of the skylight; If the skylight executes the anti-pinch safety function test, acquiring a response electric signal of the skylight when the skylight monitors an obstacle and movement state data of the skylight; if the skylight executes the sunshade linkage test, recording synchronous data of the sunshade of the skylight and the skylight; and if the skylight executes the position memory function test, recording error data when the skylight reaches a preset designated position.
  5. 5. The method according to claim 4, wherein the step of automatically detecting the motion data and the sound data with reference to the detection reference information and the template image includes: If the action data is the image data recorded when the skylight executes the full-motion test, extracting standard images corresponding to each time interval in the full-motion test from the detection reference information; And automatically detecting the image data by taking the standard image as a reference so as to detect the movement state of the skylight in the whole course of movement.
  6. 6. The method of claim 4, wherein the step of automatically detecting the motion data and the sound data with reference to the detection reference information and the template image, further comprises: If the motion data is the motion state data recorded when the sunroof executes the anti-pinch safety function test, extracting an electric signal threshold value and a distance threshold value from the detection reference information; Detecting whether the response electric signal reaches the electric signal threshold value or not, and whether the reaction distance of the skylight after the obstacle is monitored reaches the distance threshold value or not; If so, determining that the anti-pinch safety function test passes, otherwise, not passing.
  7. 7. The method of claim 4, wherein the step of automatically detecting the motion data and the sound data with reference to the detection reference information and the template image, further comprises: Extracting a synchronization threshold value of the sunshade linkage test from the detection reference information if the action data is the synchronization data recorded when the sunshade linkage test is executed by the skylight, wherein the synchronization data is a time difference of actions between the skylight and the sunshade, and the time difference is used for representing whether the actions between the skylight and the sunshade are synchronous or not; Judging whether the time difference is larger than the time difference threshold value or not; If not, determining that the sunshade linkage test passes, otherwise, not passing.
  8. 8. The method of claim 4, wherein the step of automatically detecting the motion data and the sound data with reference to the detection reference information and the template image, further comprises: extracting an error threshold value of the position memory function test from the detection reference information if the action data is error data recorded when the skylight executes the position memory function test, wherein the error data is a difference value between actual position data acquired by the skylight vision system when the skylight reaches a preset specified position and standard position data of the preset specified position; Judging whether the difference value is larger than the error threshold value or not; If not, determining that the position memory function test passes, otherwise, not passing.
  9. 9. An automated inspection device for a sunroof of a vehicle, the device comprising: The identification module is used for identifying a vehicle identifier of a vehicle to be detected and acquiring detection reference information of the vehicle to be detected based on the vehicle identifier; the acquisition module is used for starting a skylight vision system of the vehicle to be detected, and acquiring a template image of the skylight of the vehicle to be detected in a starting point state through the skylight vision system; The test module is used for sending a test instruction to the control module of the skylight and controlling the skylight to act according to the test instruction, and recording the action data and the sound data generated in the action process of the skylight; And the detection module is used for automatically detecting the action data and the sound data by taking the detection reference information and the template image as references to generate a detection result of the skylight.
  10. 10. An automated vehicle sunroof detection system, wherein the system is configured to communicate with a vehicle controller of a vehicle to be detected to perform the automated vehicle sunroof detection method according to any one of claims 1 to 8.

Description

Automatic detection method, device and system for vehicle sunroof Technical Field The invention relates to the technical field of intelligent automobile manufacturing, in particular to an automatic detection method, device and system for a vehicle skylight. Background In the field of intelligent automobile manufacturing, a skylight of an automobile is evolved from a simple lighting and ventilation component to a high electromechanical integrated module integrating multiple functions such as anti-clamping, rainfall sensing, position memory, sunshade curtain linkage, atmosphere lamp interaction and the like. Therefore, higher requirements are also put forward for the whole car off-line detection of the car. Traditional automobile offline detection adopts manual detection mode more, and not only the cost of labor is higher, and also the skill requirement to the inspector is higher, and the difference judgement nature of different inspectors to fault detection is also great moreover, therefore, traditional automobile offline detection mode is difficult to satisfy the automatic detection demand of whole automobile offline. Disclosure of Invention In view of the above, the present invention aims to provide an automatic detection method, device and system for a sunroof of a vehicle, so as to alleviate the above technical problems. According to the automatic detection method for the vehicle skylight, the vehicle identification of the vehicle to be detected is identified, detection reference information of the vehicle to be detected is obtained based on the vehicle identification, a skylight vision system of the vehicle to be detected is started, a template image of the skylight of the vehicle to be detected in a starting point state is collected through the skylight vision system, a test instruction is sent to a control module of the skylight to control the skylight to act according to the test instruction, action data and sound data generated in the action process of the skylight are recorded, and automatic detection is carried out on the action data and the sound data by taking the detection reference information and the template image as references, so that a detection result of the skylight is generated. With reference to the first aspect, the embodiment of the present invention provides a first possible implementation manner of the first aspect, where the step of sending a test instruction to the control module of the skylight to control the skylight to act according to the test instruction includes sending corresponding test instructions to the control module of the skylight in sequence according to a preset detection flow to control the skylight to sequentially execute the acts according to the detection flow, where the detection flow includes at least one of a full range motion test, an anti-pinch safety function test, a sunshade linkage test, and a position memory function test. With reference to the first possible implementation manner of the first aspect, the embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of recording the motion data and the sound data generated during the motion of the skylight includes recording the data generated during the execution of each detection procedure by the skylight, and collecting, by a preset microphone, the sound data generated during the execution of each detection procedure by the skylight. With reference to the second possible implementation manner of the first aspect, the embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of recording data generated when each of the detection flows is performed by the sunroof includes recording, by the sunroof vision system, image data of the sunroof at preset time intervals during the sunroof is performed by the sunroof vision system, recording response electric signals of the sunroof when an obstacle is monitored and movement state data of the sunroof are collected if the sunroof is performed by the anti-pinch safety function test, recording synchronization data of a sunshade curtain of the sunroof and the sunroof if the sunshade curtain is performed by the sunshade curtain linkage test, and recording error data when the sunroof reaches a preset specified position if the sunroof is performed by the position memory function test. With reference to the third possible implementation manner of the first aspect, the embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the step of automatically detecting the motion data and the sound data with reference to the detection reference information and the template image includes extracting, if the motion data is the image data recorded when the full-motion test is performed on the skylight, a standard image corresponding to each time interval in the full-motion test from the detection reference