Automobile wind noise automatic detection device and method based on airflow impact

Abstract

The invention provides an automobile wind noise automatic detection device and method based on airflow impact, and relates to the technical field of automobile wind noise detection.The automobile wind noise automatic detection device comprises a main body frame, a mechanical arm, a high-speed fan array, a camera, a microphone, a mechanical arm control module and a control platform; in the process that the mechanical arm moves between airflow impact position points according to a preset movement track, the microphone, the camera and the laser indicator are started at the same time, the image of the position impacted by the high-speed fan array is shot and collected, and the laser indicator emits circular green laser to visually indicate the current airflow impact position; the microphone collects time-average noise data in the impact process of the high-speed fan, when detection is started, starting is conducted all the time till detection is finished, the control platform receives the noise data of the camera, the laser indicator and the microphone in real time for analysis, and detection of the noise of the sealing strip in the related area is completed. Measurement and report output are automatically achieved in the whole process, and the accuracy and efficiency of detection are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of automobile wind noise detection, and in particular to an automatic detection device and method for automobile wind noise based on airflow impact. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] During the automotive manufacturing process, wind noise levels are a key quality indicator, particularly in areas like door seals. Because seals are made of flexible materials, improper assembly during the production line can easily lead to misalignment and deformation, which can reduce sealing performance in certain areas and directly affect wind noise levels in the passenger compartment. Therefore, end-of-line testing of these critical areas is crucial.

[0004] Traditionally, there are two methods for measuring wind noise indoors. The first involves wind tunnel testing, as demonstrated in the patented "Energy-Efficient Vehicle Noise Detection Device." This method requires a small, simple wind tunnel setup, using a large fan positioned at the front of the vehicle to simulate high-speed driving conditions. This approach is costly, requires a large footprint, and has low detection efficiency, making it suitable only for low-frequency spot checks. The second method involves using ducted air delivery to localize wind noise. This method uses a small fan to deliver air, directing the airflow through rigid or flexible ducting to a specific area on the vehicle body surface for wind noise testing. This approach uses long ducts, and after attenuation, the airflow often struggles to reach high speeds (such as 140 kph). Consequently, test results cannot reflect extreme conditions. Furthermore, because the duct is fixed and cannot be moved during testing, test efficiency is low, making it suitable for low-frequency spot checks.

[0005] However, the existing methods still have the following problems: 1) Both of the above measurement methods require a lot of manual work, and detection efficiency, accuracy, and stability are difficult to guarantee. The location and data recording of locations with excessive wind noise are also not accurate and timely, and are prone to omissions or errors. 2) Limited by subjective experience, it requires a lot of time and manpower costs and cannot meet the testing needs of large-scale production in the modern automobile manufacturing industry. Summary of the Invention

[0006] To address the above-mentioned issues, the present disclosure proposes an automated vehicle wind noise detection device and method based on airflow impact. A robotic arm controls the continuous movement of a high-speed blower to automatically impact airflow at different locations, such as the door seal. A microphone inside the passenger compartment simultaneously collects the sound pressure level of wind noise in real time. When the sound pressure level is too high, a photo of the location and wind noise data are automatically recorded. Measurement and reporting are fully automated throughout the process, eliminating the need for manual intervention and improving detection accuracy and efficiency. According to some embodiments, the present disclosure adopts the following technical solutions: An automatic detection device for automobile wind noise based on airflow impact, comprising a main frame, a robotic arm, a high-speed fan array, a camera, a microphone, a robotic arm control module, and a control platform; The bottom of the robotic arm is fixed to the top of the main frame, the camera and the high-speed fan array are both arranged on the end bracket of the robotic arm, the high-speed fan array is composed of a plurality of brushless axial ducted fans, the microphone array and the control platform are arranged in the vehicle under test, the robotic arm control module is fixed to one side of the main frame, and the robotic arm control module is electrically connected to the robotic arm; the robotic arm control module, the high-speed fan array, the camera and the microphone are all wirelessly connected to the control platform; Among them, the control platform controls the robotic arm to move along a preset trajectory through the robotic arm control module. The high-speed fan array on the end bracket of the robotic arm continuously impacts airflow to different positions of the vehicle under test during the movement of the preset trajectory. When the sound pressure level is too high, it automatically records the location photos and wind noise data, and realizes full automation of measurement and report output.

[0007] Furthermore, it also includes a laser pointer and a laser position detection module. The laser pointer is set on the end bracket of the robotic arm. The laser position detection modules are set to 4 and are fixedly installed on both sides of the main frame, corresponding to the four wheel positions of the preset parking position of the vehicle being tested. The laser position detection module is used to detect whether the parking position of the vehicle is correct, and is connected to the robotic arm controller module through wires.

[0008] Furthermore, the robotic arm is a six-degree-of-freedom robotic arm, which is fixed on the top of the main frame and connected to the main frame through a base, and the robotic arm control module is connected to the robotic arm through a cable.

[0009] Furthermore, the camera and laser indicator are both fixed on the end bracket of the robotic arm and synchronized with the movement of the high-speed fan array. The camera is a wide-angle camera used to take pictures of the area pointed by the high-speed fan array. The camera is connected to the control platform via wireless Bluetooth. At the same time, the laser indicator emits a circular green laser to visually indicate the current airflow impact position. It is turned on when the detection starts and remains on until the end of the detection.

[0010] Furthermore, it also includes a floor, on which the vehicle under test is parked during the test.

[0011] According to some embodiments, the present disclosure adopts the following technical solutions: A detection method of an automatic detection device for automobile wind noise based on airflow impact, comprising: The airflow impact positions of the tested vehicles are encoded respectively, and the encoded position point identifiers are stored in the robotic arm control module. The robotic arm control module forms a preset motion trajectory based on the stored encoded position point identifiers of different vehicle models. Under the control instructions of the control platform, the robotic arm moves between the airflow impact position points according to the preset motion trajectory, and the high-speed fan array impacts all gaps in the motion trajectory when it is turned on.

[0012] While the robotic arm is moving between the airflow impact points according to a preset motion trajectory, the microphone, camera, and laser pointer are turned on at the same time. The camera captures images of the positions impacted by the high-speed fan array, and the laser pointer emits a circular green laser to visually indicate the current airflow impact position. The microphone collects time-averaged noise data during the high-speed fan impact process. It is turned on when the test starts and remains on until the end of the test. The control platform receives the noise data from the camera, laser pointer, and microphone in real time for analysis to complete the detection of sealing strip noise in the relevant area.

[0013] According to some embodiments, the present disclosure adopts the following technical solutions: A computer program product includes a computer program. When the computer program is executed by a processor, the computer program implements a detection method of an automatic detection device for automobile wind noise based on airflow impact.

[0014] According to some embodiments, the present disclosure adopts the following technical solutions: A non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, a detection method of an automatic detection device for automobile wind noise based on airflow impact is implemented.

[0015] According to some embodiments, the present disclosure adopts the following technical solutions: An electronic device includes: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory. When the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement the detection method of the automatic detection device for automobile wind noise based on airflow impact.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses an automatic detection device for automobile wind noise based on airflow impact, which is provided with a high-speed fan array, a camera, a microphone, a robotic arm control module and a control platform for collaborative operation. The control platform controls the robotic arm to move along a preset trajectory through the robotic arm control module. The high-speed fan array on the end bracket of the robotic arm continuously performs airflow impact on different positions of the vehicle under test during the movement along the preset trajectory, thereby realizing the automatic impact of the high-speed fan on positions such as the door sealing strip, as well as the automatic collection, processing, recording and report generation of wind noise data without the need for human intervention, thereby greatly improving detection efficiency and reducing labor costs.

[0017] The present invention discloses an automated vehicle wind noise detection device based on airflow impact. A robotic arm control module internally generates a preset motion trajectory based on stored, coded location markers for different vehicle models. Under control commands from a control platform, the robotic arm moves between airflow impact locations along the preset motion trajectory. When the high-speed fan array is activated, it impacts all gaps in the motion trajectory. As the robotic arm moves between airflow impact locations along the preset motion trajectory, a microphone, camera, and laser pointer are simultaneously activated. The camera captures images of the locations impacted by the high-speed fan array. The laser pointer emits a circular green laser to visually indicate the current airflow impact location. The microphone collects time-averaged noise data during the high-speed fan impact process and remains activated from the start of the test until the test is complete. The control platform receives and analyzes noise data from the camera, laser pointer, and microphone in real time to detect sealing strip noise in the relevant area. The precise motion control of the robotic arm and the high-sensitivity of the microphone ensure the accuracy and reliability of wind noise data. Furthermore, the device automatically records location photos and wind noise data, avoiding errors and omissions that may occur in manual recording.

[0018] The present invention discloses an automated detection device for automobile wind noise based on airflow impact. The robotic arm is a six-degree-of-freedom robotic arm. The robotic arm control module is connected to the robotic arm via a cable. The multi-degree-of-freedom movement of the robotic arm can cover different positions such as the door sealing strip, thereby realizing comprehensive detection of automobile wind noise.

[0019] The present invention discloses an automated vehicle wind noise detection device based on airflow impact. The device is turned on from the start of detection until the end of detection. The control platform receives noise data from the camera, laser pointer, and microphone in real time for analysis, and completes the detection of sealing strip noise in relevant areas. The device uses real-time monitoring and judgment of sound pressure level data to promptly detect locations with excessive wind noise and immediately record the relevant data, providing strong support for the rapid diagnosis and resolution of vehicle wind noise problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings, which constitute a part of the present disclosure, are used to provide a further understanding of the present disclosure. The exemplary embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation to the present disclosure.

[0021] Figure 1 Schematic diagram of the overall structure of the automatic detection device for automobile wind noise based on airflow impact according to an embodiment of the present disclosure; Figure 2 The specific structure and connection diagram of the automatic detection device for automobile wind noise based on airflow impact according to an embodiment of the present disclosure; Figure 3 This is a schematic diagram of the structure of the end portion of the robotic arm according to an embodiment of the present disclosure; Figure 4 This is an example of the test location point coding of the embodiment of the present disclosure; Figure 5 This is a flow chart of a detection method of an automatic detection device for automobile wind noise based on airflow impact according to an embodiment of the present disclosure; Figure 6 This is an example of an automatically generated test template for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0022] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.

[0023] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present disclosure belongs.

[0024] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0025] Example 1 In one embodiment of the present disclosure, a device for automatically detecting automobile wind noise based on airflow impact is provided. Figure 1 、 Figure 3As shown, it includes a main frame 1, a robotic arm 2, a high-speed fan array 2-3-1, a camera 2-3-2, a microphone 5-2, a robotic arm control module 6-1 and a control platform 5-1; the bottom of the robotic arm 2 is fixed to the top of the main frame 1, the camera 2-3-2 and the high-speed fan array 2-3-1 are both arranged on the end bracket 2-3 of the robotic arm, the high-speed fan array 2-3-1 is composed of a plurality of brushless axial duct fans, the microphone 5-2 and the control platform 5-1 are arranged in the vehicle under test 3, the robotic arm control module 6-1 is fixed to one side of the main frame 1, and the robotic arm control module 6-1 is electrically connected to the robotic arm 2; the robotic arm control module 6-1, the high-speed fan array 2-3-1, the camera 2-3-2 and the microphone 5-2 are all wirelessly connected to the control platform 5-1; Among them, the control platform 5-1 controls the robot arm 2 to move along a preset trajectory through the robot arm control module 6-1. The high-speed fan array 2-3-1 on the robot arm end bracket 2-3 continuously impacts airflow to different positions of the vehicle under test during the movement of the preset trajectory. When the sound pressure level is too high, it automatically records the location photos and wind noise data, and realizes the measurement and report output in an automated manner throughout the process.

[0026] Furthermore, if Figure 1 、 Figure 2 、 Figure 3 As shown, the automatic detection device for automobile wind noise based on airflow impact also includes a laser indicator 2-3-3 and a laser position detection module 7-1. The laser indicator 2-3-3 is set on the end bracket 2-3 of the robotic arm, and the laser position detection module 7-1 is set to 4, which are fixedly installed on both sides of the main frame 1, corresponding to the four wheel positions of the preset parking position of the vehicle 3 under test. The laser position detection module 7-1 is used to detect whether the parking position of the vehicle is correct, and is connected to the robotic arm controller module 6-1 through wires.

[0027] As an example, Figure 3 As shown, robotic arm 2 is a six-degree-of-freedom robotic arm fixed to the top of the main frame. It includes a base 2-1, end brackets 2-3, and a large robotic arm 2-2. Large robotic arm 2-2 connects base 2-1 and end brackets 2-3. Robotic arm 2 is connected to the main frame 1 via base 2-1. Robotic arm control module 6-1 is connected to robotic arm 2 via cable 6-2. The multi-degree-of-freedom robotic arm can flexibly move in three dimensions, enabling precise impacts on various locations, such as door seals. Camera 2-3-2 and laser pointer 2-3-3 are both fixed on the end bracket 2-3 of the robotic arm and synchronized with the movement of the high-speed fan array. Camera 2-3-2 is a wide-angle camera used to take pictures of the area pointed by the high-speed fan array. The camera is connected to the control platform via wireless Bluetooth. At the same time, the laser pointer emits a circular green laser to visually indicate the current airflow impact position. It is turned on when the detection starts and until the detection ends.

[0028] As an example, Figure 2 As shown, control platform 5-1 and microphone 5-2 are installed inside the vehicle under test 3. Microphone 5-2 in the passenger compartment is a high-sensitivity microphone that can directly collect time-averaged noise data. With a sampling frequency of 5Hz, it can collect noise pressure levels within 0.2s and process them using dBA weighting. The microphone is directly connected to control platform 5-1 via a data cable, and the collected noise data can be directly transmitted to the app software in control platform 5-1. A bracket is provided at the bottom of the microphone. During testing, it is placed directly above the center armrest of the front seat, basically in the center of the passenger compartment, to relatively evenly collect wind noise sound pressure level data within the passenger compartment.

[0029] like Figure 2 As shown, the robotic arm control module 6-1 is connected to the robotic arm via cable 6-2 and to the control platform 5-1 via wireless communication. The robotic arm control module 6-1 is used to store and execute the robotic arm's motion trajectory and to power the equipment on the robotic arm's end bracket 2-3. Upon receiving a test start signal, the robotic arm is controlled to move according to a pre-set program.

[0030] like Figure 3 As shown, the end of the robotic arm 2 is equipped with an end bracket 2-3. A high-speed fan array 2-3-1, composed of four brushless axial ducted fans, ensures sufficient airflow. The fan speed can reach up to 200,000 rpm, providing wind speeds exceeding 40 m / s. This can simulate the localized airflow impact experienced by a vehicle traveling at 140 km / h. Combined with the arm's directional control, this allows for simulation of airflow impacts of varying intensity and direction. A camera 2-3-2 and a laser pointer 2-3-3 are both fixed to the end bracket 2-3 and synchronized with the movement of the high-speed fan array 2-3-1. Camera 2-3-2 is a wide-angle camera used to capture images of the area pointed by the fan array. The camera is connected to the tablet via Bluetooth. Meanwhile, the laser pointer 2-3-3 emits a circular green laser to visually indicate the current airflow impact location. It remains on from the start of the test until the end.

[0031] like Figure 1As shown, it also includes a floor 4, on which the vehicle under test is parked during testing. A 4-1 blocking bar is installed on the floor 4 to prevent the tire from moving out of the specified area.

[0032] As an example, the control platform can be a handheld tablet with a dedicated app installed to collect wind noise signals. The app is used to analyze the digital signal in real time to determine whether the sound pressure level exceeds a preset threshold. If so, a recording instruction is triggered and sent to the camera for recording. The camera can connect to the Pad via Bluetooth, taking photos and sending them back to the App after receiving recording instructions. The microphone is directly connected to the Pad via a wired cable to transmit wind noise signals.

[0033] The camera is connected to the Pad via Bluetooth, and takes photos after receiving the recording command sent by the App and sends them back to the App.

[0034] As an embodiment, an automatic detection device for automobile wind noise based on airflow impact detects the wind noise risk positions (airflow impact positions) of the entire vehicle, encodes the airflow impact positions of the tested vehicle respectively, and stores several coded position point identifiers in a robotic arm control module. The robotic arm control module forms a preset motion trajectory based on the stored coded position point identifiers of different vehicle models. Under the control instructions of the control platform, the robotic arm moves between the airflow impact position points according to the preset motion trajectory, and the high-speed fan array impacts all gaps in the motion trajectory when it is turned on.

[0035] For the convenience of description in this disclosure, side coding is used as an illustration, such as Figure 4 As shown, number 1 represents the lower front corner of the front door, number 2 represents the front door triangular window, and 3-9 represent numbers of other key areas, which are not repeated here. The robotic arm stores the three-dimensional coordinates of the encoded position points of different models. Under the instruction of the robotic arm control module 6-1, the robotic arm will move between the position points according to the preset order. For example, if it moves from point 1 to point 2, the robotic arm head 2-3 will move from point 1 to point 2, forming a preset motion trajectory, and the fan will also impact all door gaps along the way when it is turned on, thus completing the inspection of the sealing strip in the lower front area of ​​the front door. Then start the next node, such as point 2 to point 3.

[0036] In the process of designing vehicle numbers and movement paths, the principle of shortest path and non-repetitive paths will be followed, such as Figure 4 In the numbering shown, the robot head movement will be performed in the following order: 4-1-2-3-4-5-6-7-8-9-2 and then 8-3-6, so that there are no repetitions.

[0037] For different models of vehicles, such as another off-road vehicle, different numbering positions and numbering sequences will be designed in advance and stored in the controller for subsequent use.

[0038] As an embodiment, the present disclosure discloses a detection method of an automatic detection device for automobile wind noise based on airflow impact, comprising the following steps: Step 1. Vehicle Preparation. Before testing, the vehicle must be driven to the designated location on the floorboards as instructed and parked. The driver must obtain the pad and microphone and then assume the driver's seat. The device must be powered on and the microphone must be positioned properly.

[0039] Step 2. Select preset parameters. Select the test vehicle through the app. The app stores multiple sets of preset robot arm motion trajectory parameters and sound pressure level thresholds for each vehicle. Step 3. Start Testing: The test begins via the app, simultaneously activating the robotic arm and high-speed blower. The robotic arm moves along a pre-set trajectory, driving the high-speed blower to continuously impact various locations, such as the door seal. Simultaneously, the microphone array collects real-time wind noise sound pressure level data within the passenger compartment and transmits the data to the app. Step 4: Data processing and judgment. The app program monitors the acquired wind noise sound pressure level data in real time. When it detects that the sound pressure level exceeds the preset threshold, it sends a photo triggering and recording instruction to the control module. Step 5. Data recording: After receiving the recording command, the camera takes a photo of the current impact position of the high-speed wind turbine and transmits it back. The synchronized app records the corresponding wind noise sound pressure level value and acquisition time. Step 6. Inspection completes. When the robotic arm completes the preset trajectory and covers all locations to be inspected, the app will notify you of the inspection completion and automatically begin data collection. The driver confirms the inspection and removes the device from the test vehicle.

[0040] Step 7. Report Generation: The app organizes and analyzes all recorded wind noise data and photos in the background and automatically generates a test report. The report includes information such as wind noise sound pressure level data at each test location, whether there is excessive wind noise, and photos of the corresponding locations. In one embodiment, all data is captured in real time during the noise detection process and uploaded to a tablet. The data is stored in a table in the app backend, in chronological order. Each row in the table contains the time the command was received (accurate to the second), the microphone sound pressure level at the time of command receipt, and the current robotic arm position number. When the detection is complete, the table is locked and cannot be written to. The app then calls a report template (document format) in the backend and fills in basic information such as the driver's selected test time, vehicle model, operating conditions, and test area according to the template format. The total number of entries in the table is also filled in. If the number of entries is equal to 0, the result is marked as "passed"; if the number of entries is greater than 0, the result is marked as "failed." The app then reads each row in the table one by one, and fills in the report with the sound pressure level recorded in that row, subtracts it from the target value, and the robotic arm position number. The app also iterates through the photo generation times in a temporary folder, finds the photo closest to the time recorded in the table, and pastes it into the report. This process repeats until all rows in the table are complete, at which point the report upload is considered complete. Finally, the generated report is saved and uploaded to the cloud, and the contents of the temporary folder and the table are cleared.

[0041] Example 2 In one embodiment of the present disclosure, a detection method of an automatic detection device for automobile wind noise based on airflow impact is provided, the method comprising: The airflow impact positions of the tested vehicles are encoded respectively, and the encoded position point identifiers are stored in the robotic arm control module. The robotic arm control module forms a preset motion trajectory based on the stored encoded position point identifiers of different vehicle models. Under the control instructions of the control platform, the robotic arm moves between the airflow impact position points according to the preset motion trajectory, and the high-speed fan array impacts all gaps in the motion trajectory when it is turned on.

[0042] While the robotic arm is moving between the airflow impact points according to the preset motion trajectory, the microphone, camera and laser pointer are turned on at the same time. The camera captures the position image of the impact of the high-speed fan array, and the laser pointer emits a circular green laser to visually indicate the current airflow impact position. The microphone collects the time-averaged noise data during the high-speed fan impact process. When the detection starts, it is turned on until the end of the detection. The control platform receives the noise data from the camera, laser pointer and microphone in real time for analysis to complete the detection of the sealing strip noise in the relevant area.

[0043] Example 3 In one embodiment of the present disclosure, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the detection method of the automatic detection device for automobile wind noise based on airflow impact is implemented.

[0044] Example 4 In one embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, which is used to store computer instructions. When the computer instructions are executed by a processor, the detection method of the automatic detection device for automobile wind noise based on airflow impact is implemented.

[0045] Example 5 In one embodiment of the present disclosure, an electronic device is provided, comprising: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory. When the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the detection method of the automatic detection device for automobile wind noise based on airflow impact.

[0046] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0047] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0048] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Those skilled in the art should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. An automatic detection device for automobile wind noise based on airflow impact, characterized in that: It includes a main frame, a robotic arm, a high-speed fan array, a camera, a microphone, a robotic arm control module, and a control platform; The bottom of the robotic arm is fixed to the top of the main frame, the camera and the high-speed fan array are both arranged on the end bracket of the robotic arm, the high-speed fan array is composed of a plurality of brushless axial ducted fans, the microphone array and the control platform are arranged in the vehicle under test, the robotic arm control module is fixed to one side of the main frame, and the robotic arm control module is electrically connected to the robotic arm; the robotic arm control module, the high-speed fan array, the camera and the microphone are all wirelessly connected to the control platform; Among them, the control platform controls the robotic arm to move along a preset trajectory through the robotic arm control module. The high-speed fan array on the end bracket of the robotic arm continuously impacts airflow to different positions of the vehicle under test during the movement of the preset trajectory. When the sound pressure level is too high, it automatically records the location photos and wind noise data, and realizes full automation of measurement and report output.

2. The automatic detection device for automobile wind noise based on airflow impact according to claim 1, characterized in that: It also includes a laser pointer and a laser position detection module. The laser pointer is set on the end bracket of the robotic arm. The laser position detection modules are set to 4 and are fixedly installed on both sides of the main frame, corresponding to the four wheel positions of the preset parking position of the vehicle being tested. The laser position detection module is used to detect whether the parking position of the vehicle is correct and is connected to the robotic arm controller module through wires.

3. The automatic detection device for automobile wind noise based on airflow impact according to claim 1, characterized in that: The robotic arm is a six-degree-of-freedom robotic arm, fixed on the top of the main frame, connected to the main frame through a base, and the robotic arm control module is connected to the robotic arm through a cable.

4. The automatic detection device for automobile wind noise based on airflow impact according to claim 1, characterized in that: The camera and laser pointer are both fixed to the end bracket of the robotic arm and synchronized with the movement of the high-speed fan array. The camera is a wide-angle camera used to take pictures of the area pointed by the high-speed fan array. The camera is connected to the control platform via wireless Bluetooth. At the same time, the laser pointer emits a circular green laser to visually indicate the current airflow impact position. It is turned on when the detection starts and remains on until the end of the detection.

5. The automatic detection device for automobile wind noise based on airflow impact according to claim 1, characterized in that: Also included is a floor on which the vehicle under test is parked when testing is performed.

6. A detection method for an automatic detection device for automobile wind noise based on airflow impact according to any one of claims 1 to 5, characterized in that: include: The airflow impact positions of the tested vehicles are encoded respectively, and the encoded position point identifiers are stored in the robotic arm control module. The robotic arm control module forms a preset motion trajectory based on the stored encoded position point identifiers of different vehicle models. Under the control instructions of the control platform, the robotic arm moves between the airflow impact position points according to the preset motion trajectory, and the high-speed fan array impacts all gaps in the motion trajectory when it is turned on.

7. The detection method of the automatic detection device for automobile wind noise based on airflow impact according to claim 6, characterized in that: While the robotic arm is moving between the airflow impact points according to the preset motion trajectory, the microphone, camera and laser pointer are turned on at the same time. The camera captures the position image of the impact of the high-speed fan array, and the laser pointer emits a circular green laser to visually indicate the current airflow impact position. The microphone collects the time-averaged noise data during the high-speed fan impact process. When the detection starts, it is turned on until the end of the detection. The control platform receives the noise data from the camera, laser pointer and microphone in real time for analysis to complete the detection of the sealing strip noise in the relevant area.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the detection method of the automatic detection device for automobile wind noise based on airflow impact according to any one of claims 6 to 7 is implemented.

9. A non-transitory computer-readable storage medium, characterized in that The non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by the processor, the detection method of the automatic detection device for automobile wind noise based on airflow impact as described in any one of claims 6 to 7 is implemented.

10. An electronic device, characterized in that: include: A processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to perform a detection method of an automatic detection device for automobile wind noise based on airflow impact as described in any one of claims 6-7.

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