Automobile brake pad thickness real-time detection method and device and vehicle

Abstract

The invention provides an automobile brake pad thickness real-time detection method and device and an automobile, relates to the technical field of automobiles, and is used for solving the problem that a driver cannot master the abrasion condition of a friction block of a brake pad due to the fact that the brake pad is not provided with a thickness detection device in the prior art. Measuring the distance between the surface and the bottom of the brake pad through a laser ranging module to obtain a brake clearance; acquiring an image of the brake pad through an image acquisition module, and performing feature extraction on the image to obtain edge contour information of the brake pad; the brake clearance and edge contour information is received through a data processing module, and the actual thickness of the brake pad is calculated according to the brake clearance and edge contour information; and the actual thickness of the brake pad is displayed on an instrument panel of the vehicle through the instrument panel display module.

Description

Technical Field

[0001] This application relates to the field of automotive technology, and in particular to a method, device, and vehicle for real-time detection of automotive brake pad thickness. Background Technology

[0002] Cars have become an integral part of people's daily lives, and vehicle safety is increasingly becoming a major concern for both car manufacturers and consumers. Statistics show that over 70% of traffic accidents are related to faulty brakes. Therefore, the braking system is crucial for driving safety. Timely inspection of the braking system's condition can significantly improve driving safety and reduce the accident rate.

[0003] Currently, most passenger car instrument systems and safety monitoring systems lack brake pad wear detection devices and displays, or their detection is too rudimentary and lacks real-time accuracy. Drivers must periodically visit auto repair shops or dealerships to check when brake pads need replacing. Some cars require replacement after 100,000 kilometers, while others need replacement at 50,000 kilometers, or even around 40,000 kilometers. Brake pad wear is related to the brake pad material and, more importantly, driving habits, making it difficult to determine replacement time solely by mileage. The inability to promptly detect, display, and accurately monitor brake pad wear inevitably causes significant inconvenience to drivers and passengers and poses substantial safety hazards. Therefore, adding automatic brake pad detection and display is a crucial aspect of improving vehicle safety. Summary of the Invention

[0004] Based on the above-mentioned technical problems, this application provides a method, device and vehicle for real-time detection of automotive brake pad thickness, which can realize automatic real-time detection of brake pad thickness and display the brake pad thickness in real time through a display module. When brake pads need to be replaced, an audible and visual alarm is given. The detection is accurate and convenient, greatly increasing the safety control ability of drivers and passengers.

[0005] In a first aspect, this application provides a method for real-time detection of automotive brake pad thickness, applied to a vehicle. The vehicle includes a laser ranging module, an image acquisition module, a data processing module, and an instrument panel display module. The laser ranging module is installed on one side of the vehicle's brake caliper. The method includes: after the vehicle is powered on, measuring the distance between the surface and bottom of the brake pad using the laser ranging module to obtain the brake clearance; acquiring an image of the brake pad using the image acquisition module and extracting features from the image to obtain the edge contour information of the brake pad; receiving the brake clearance and edge contour information using the data processing module and calculating the actual thickness of the brake pad based on the brake clearance and edge contour information; and displaying the actual thickness of the brake pad on the vehicle's instrument panel using the instrument panel display module.

[0006] In one possible implementation, the actual thickness of the brake pad is calculated based on the brake clearance and edge contour information, including: inputting the edge contour information into a preset neural network model to obtain the brake disc thickness; the preset neural network model is trained based on the edge contour information of multiple sample brake pad images and the sample brake disc thickness; and calculating the actual thickness of the brake pad based on the brake disc thickness and the brake clearance.

[0007] In one possible implementation, the actual thickness of the brake pad is calculated based on the brake disc thickness and the brake clearance, including: calculating the difference between the brake disc thickness and the brake clearance; and determining the difference between the brake disc thickness and the brake clearance as the actual thickness of the brake pad.

[0008] In one possible implementation, the vehicle also includes an audible and visual alarm module, and the method further includes: when the actual thickness of the brake pads is less than a preset threshold, the audible and visual alarm module emits an alarm sound and a warning light to remind the user.

[0009] Secondly, this application provides a real-time brake pad thickness detection device for automobiles, deployed in a vehicle. The device includes a laser ranging module, an image acquisition module, a data processing module, and an instrument panel display module. The laser ranging module is installed on one side of the vehicle's brake caliper. After the vehicle is powered on, the laser ranging module measures the distance between the surface and bottom of the brake pad to obtain the brake clearance. The image acquisition module acquires an image of the brake pad and performs feature extraction on the image to obtain the edge contour information of the brake pad. The data processing module receives the brake clearance and edge contour information and calculates the actual thickness of the brake pad based on the brake clearance and edge contour information. The instrument panel display module displays the actual thickness of the brake pad on the vehicle's instrument panel.

[0010] In one possible implementation, the data processing module is specifically used to: input edge contour information into a preset neural network model to obtain the brake disc thickness; the preset neural network model is trained based on the edge contour information of multiple sample brake pad images and the sample brake disc thickness; and calculate the actual thickness of the brake pad based on the brake disc thickness and the brake clearance.

[0011] In one possible implementation, the data processing module is specifically used to: calculate the difference between the brake disc thickness and the brake clearance; and determine the difference between the brake disc thickness and the brake clearance as the actual thickness of the brake pad.

[0012] In one possible implementation, the device further includes an audible and visual alarm module, which is used to issue an alarm sound and a warning light when the actual thickness of the brake pad is less than a preset threshold.

[0013] Thirdly, this application provides a computer-readable storage medium, the readable storage medium comprising: software instructions; when the software instructions are executed in an electronic device of a vehicle, causing the electronic device to implement the method described in the first aspect above.

[0014] Fourthly, this application provides a vehicle including the real-time detection device for automotive brake pad thickness described in the second aspect above.

[0015] As can be seen from the above, the following beneficial effects can be achieved by applying the technical means of this application: This application utilizes a laser ranging data processing module to quickly and accurately measure the thickness of brake pads, improving detection efficiency and accuracy. The data processing module enables automated data analysis and calculation, reducing the need for manual operation and improving the consistency and reliability of the detection. Furthermore, thickness detection can be performed without disassembling the tire or brake pads, avoiding the cumbersome disassembly and installation process. In addition, this application can also display the brake pad thickness results in a timely manner and issue alarms or prompts to help drivers or maintenance personnel understand the condition of the brake pads and perform timely maintenance and replacement. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the structure of a vehicle detection system provided in an embodiment of this application; Figure 2 A schematic diagram illustrating the composition of the electronic device provided in the embodiments of this application; Figure 3 A flowchart illustrating the real-time detection method for automotive brake pad thickness provided in this application embodiment; Figure 4 This is a schematic diagram of the composition of the real-time automotive brake pad thickness detection device provided in the embodiments of this application. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0019] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0020] Furthermore, in the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, in the description of the embodiments of this application, "multiple" refers to two or more.

[0021] Before providing a detailed explanation of the embodiments of this application, some related terms and technologies involved in the embodiments of this application will be introduced first.

[0022] In automotive braking systems, brake pads are the most critical component, playing a decisive role in braking performance. The condition of brake pads is related to the safety of vehicles and their occupants, and brake pad thickness is a crucial parameter affecting braking effectiveness. Therefore, inspecting brake pad thickness is extremely important. However, current brake pad thickness inspections are conducted every certain mileage (e.g., 5000 kilometers) under normal driving conditions. Due to wheel hub design, the brake pad thickness is not visible to the naked eye on some vehicles, requiring tire removal for inspection. The labor costs associated with each removal and inspection inevitably increase the vehicle's operating costs, but this method does not provide real-time, accurate, and effective detection of brake pad thickness.

[0023] Cars have become an integral part of people's daily lives, and vehicle safety is increasingly becoming a major concern for both car manufacturers and consumers. Statistics show that over 70% of traffic accidents are related to faulty brakes. Therefore, the braking system is crucial for driving safety. Timely inspection of the braking system's condition can significantly improve driving safety and reduce the accident rate.

[0024] In automotive braking systems, brake pads are the most critical component, playing a decisive role in braking performance. The condition of brake pads is related to the safety of vehicles and their occupants, and brake pad thickness is a crucial parameter affecting braking effectiveness. Therefore, inspecting brake pad thickness is extremely important. However, current brake pad thickness inspections are conducted every certain mileage (e.g., 5000 kilometers) under normal driving conditions. Due to wheel hub design, the brake pad thickness is not visible to the naked eye on some vehicles, requiring tire removal for inspection. The labor costs associated with each removal and inspection inevitably increase the vehicle's operating costs, but this method does not provide real-time, accurate, and effective detection of brake pad thickness.

[0025] In view of the above problems, this application provides a method for real-time detection of automotive brake pad thickness. Through modules such as a laser ranging module, an image acquisition module, a data processing module, and an instrument panel display module, it can achieve non-destructive testing of brake pad thickness, ensuring measurement accuracy and safety, thereby guaranteeing driving safety. Furthermore, this application can display the brake pad thickness in real time via the display module, and provide an audible and visual alarm when brake pad replacement is needed. The detection is accurate and convenient, greatly increasing the safety control capabilities of drivers and passengers.

[0026] The method for real-time detection of automotive brake pad thickness provided in this application will be described in detail below with reference to the accompanying drawings.

[0027] The real-time detection method for automotive brake pad thickness provided in this application can be applied to vehicle inspection systems. Figure 1 A schematic diagram of one structure of the vehicle detection system is shown. Figure 1 As shown, the vehicle detection system 10 includes a vehicle 11 and a real-time brake pad thickness detection device 12. The real-time brake pad thickness detection device 12 is located inside the vehicle 11.

[0028] The execution entity of the real-time detection method for automotive brake pad thickness provided in this application embodiment can be the aforementioned real-time detection device 12 for automotive brake pad thickness. As mentioned above, the real-time detection device 12 for automotive brake pad thickness can be an electronic device with data processing capabilities, such as a computer or server. Optionally, the real-time detection device 12 for automotive brake pad thickness can also be a processor in the vehicle (e.g., a central processing unit, CPU); or, the real-time detection device 12 for automotive brake pad thickness can also be an application (APP) with model training capabilities installed in the vehicle; or, the real-time detection device 12 for automotive brake pad thickness can also be a functional module with model training capabilities in the vehicle, etc. This application embodiment does not impose any limitations on these aspects.

[0029] For simplicity, the following description will use the real-time automotive brake pad thickness detection device 12 as an example of electronic equipment.

[0030] Figure 2 This is a schematic diagram illustrating the composition of an electronic device provided in an embodiment of this application. For example... Figure 2 As shown, the electronic device may include: a processor 20, a memory 21, a communication line 22, a communication interface 23, and an input / output interface 24.

[0031] The processor 20, memory 21, communication interface 23 and input / output interface 24 can be connected via communication line 22.

[0032] Processor 20 is used to execute instructions stored in memory 21 to implement the fault analysis method provided in the following embodiments of this application. Processor 20 may be a CPU, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller (MCU), a programmable logic device (PLD), or any combination thereof. Processor 20 may also be any other device with processing capabilities, such as a circuit, device, or software module; this application embodiment does not limit this. In one example, processor 20 may include one or more CPUs, for example... Figure 2 CPU0 and CPU1 in the example. As an optional implementation, the electronic device may include multiple processors; for example, in addition to processor 20, it may also include processor 25. Figure 2 (The example shown is a dashed line).

[0033] The memory 21 is used to store instructions. For example, the instructions may be computer programs. Optionally, the memory 21 may be a read-only memory (ROM) or other types of static storage devices that can store static information and / or instructions; it may also be a random access memory (RAM) or other types of dynamic storage devices that can store information and / or instructions; it may also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, etc. The embodiments of this application do not limit this.

[0034] It should be noted that the memory 21 can exist independently of the processor 20, or it can be integrated with the processor 20. The memory 21 can be located inside or outside the electronic device, and this embodiment does not impose any restrictions on this.

[0035] Communication line 22 is used to transmit information between the components included in the electronic device.

[0036] The communication interface 23 is used to communicate with other devices (such as the image acquisition device 100 described above) or other communication networks. These other communication networks can be Ethernet, radio access network (RAN), wireless local area network (WLAN), etc. The communication interface 23 can be a module, circuit, transceiver, or any device capable of enabling communication.

[0037] Input / output interface 24 is used to enable human-computer interaction between the user and the electronic device. For example, it enables action interaction or information exchange between the user and the electronic device.

[0038] For example, the input / output interface 24 can be a mouse, keyboard, display screen, or touch screen. Action interaction or information exchange between the user and the electronic device can be achieved through a mouse, keyboard, display screen, or touch screen.

[0039] It should be noted that, Figure 2 The structures shown do not constitute a limitation on electronic devices, except... Figure 2 In addition to the components shown, electronic devices may include more or fewer components than illustrated, or combinations of certain components, or different component arrangements.

[0040] The following describes the real-time detection method for automotive brake pad thickness provided in the embodiments of this application.

[0041] Figure 3 This is a flowchart illustrating the real-time detection method for automotive brake pad thickness provided in an embodiment of this application. Optionally, this method can be implemented by a person having the above-described... Figure 2 The electronic device with the hardware structure shown performs, such as Figure 3 As shown, the method includes S301 to S304.

[0042] S301. After the vehicle is powered on, the distance between the surface and bottom of the brake pads is measured by a laser ranging module to obtain the brake clearance.

[0043] The laser ranging module calculates the distance by measuring the time difference (Δt) between the emission and reception of the laser pulse and the speed of light (approximately 299,792 km / s). The formula is: distance = (speed of light * Δt) / 2.

[0044] As one possible implementation, in this embodiment, the laser ranging module can be installed next to the brake caliper. After the vehicle is powered on, the laser ranging module is activated, and the distance between the surface and bottom of the brake pads is measured to obtain the brake clearance.

[0045] It should be noted that brake clearance is a crucial parameter in the braking system, referring to the initial distance between the brake friction pads (such as brake shoes) and the brake disc (or brake drum). It can be measured by measuring the distance between the surface and bottom of the brake pads. It directly affects braking response speed, braking efficiency, and component lifespan, and requires precise adjustment based on vehicle model, usage scenario, and brake type.

[0046] Understandably, using a laser ranging module can quickly and accurately measure the thickness of brake pads, improving detection efficiency and accuracy.

[0047] S302. The image of the brake pad is acquired through the image acquisition module, and the image is used to extract features to obtain the edge contour information of the brake pad.

[0048] As one possible implementation, after the image acquisition module acquires an image of the brake pad, it can extract the edge contour information of the brake pad through a preset image processing algorithm.

[0049] The image acquisition module can use a camera or other image sensor to acquire images. The image processing algorithm can be any image edge detection algorithm, and this application embodiment does not limit it.

[0050] It's important to note that edges are locations in an image where pixel grayscale values ​​change abruptly, typically corresponding to object boundaries or texture variations. The core of edge detection is locating these abrupt change points using mathematical methods (such as differential operations). Edge contours are among the most prominent features in an image, reflecting the shape, boundaries, and structural information of an object. By extracting edge contours, tasks such as object detection, image segmentation, and object recognition can be achieved.

[0051] S303. Receive brake clearance and edge contour information through the data processing module, and calculate the actual thickness of the brake pads based on the brake clearance and edge contour information.

[0052] As one possible implementation, the data processing module can receive the brake clearance from the laser ranging module and the edge contour information of the brake pads from the image acquisition module. Furthermore, the data processing module can input the edge contour information into a preset neural network model to obtain the brake disc thickness. The preset neural network model is trained based on the edge contour information of multiple sample brake pad images and the sample brake disc thicknesses. Further, this application calculates the actual thickness of the brake pads based on the brake disc thickness and the brake clearance.

[0053] For example, this application can calculate the difference between the brake disc thickness and the brake clearance, and determine the difference between the brake disc thickness and the brake clearance as the actual thickness of the brake pad.

[0054] As another example, this application can weight the brake disc thickness and the brake clearance separately, and calculate the difference between the weighted brake disc thickness and the brake clearance, and then determine the calculated difference as the actual thickness of the brake pad.

[0055] S304. The actual thickness of the brake pads is displayed on the vehicle's instrument panel via the instrument panel display module.

[0056] As one possible implementation, after calculating the actual thickness of the brake pads, the data processing module can send the actual thickness to the instrument panel display module. Correspondingly, after receiving the actual brake pad thickness from the data processing module, the instrument panel display module displays the actual brake pad thickness on the vehicle's instrument panel for the driver to check at any time.

[0057] In other embodiments, in order to enable the driver to keep abreast of the condition of the brake pads, the vehicle of this application embodiment also includes an audible and visual alarm module, which emits an alarm sound and a warning light when the actual thickness of the brake pads is less than a preset threshold.

[0058] The preset threshold can be set based on the developer's experience and stored in the vehicle in advance. This application embodiment does not limit the specific value.

[0059] As one possible implementation, after calculating the actual thickness of the brake pads, the data processing module can compare the actual thickness with a preset threshold. If the actual thickness of the brake pads is less than the preset threshold, an alarm sound and warning light will be emitted via the audible and visual alarm module. If the actual thickness of the brake pads is greater than or equal to the preset threshold, the actual thickness of the brake pads will only be displayed on the vehicle's instrument panel via the dashboard display module.

[0060] For example, an alarm can be issued when the brake pad thickness is below a preset threshold of 40%, reminding the driver to replace the brake pads.

[0061] The technical solution provided in this application offers at least the following advantages: This application utilizes a laser ranging data processing module to quickly and accurately measure brake pad thickness, improving detection efficiency and accuracy. The data processing module enables automated data analysis and calculation, reducing the need for manual operation and improving the consistency and reliability of the detection. Furthermore, thickness detection can be performed without disassembling the tire or brake pads, avoiding the cumbersome disassembly and installation process. In addition, this application can promptly display the brake pad thickness results and issue alarms or prompts to help drivers or maintenance personnel understand the condition of the brake pads and perform timely maintenance and replacement.

[0062] The foregoing primarily describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the aforementioned functions, it includes corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0063] In an exemplary embodiment, this application also provides a real-time detection device for automotive brake pad thickness. Figure 4 This is a schematic diagram illustrating the composition of the real-time automotive brake pad thickness detection device provided in an embodiment of this application. Figure 4 As shown, the real-time brake pad thickness detection device is deployed in the vehicle. The real-time brake pad thickness detection device includes: a laser ranging module 401, an image acquisition module 402, a data processing module 403, and an instrument panel display module 404. The laser ranging module 401 is installed on one side of the vehicle's brake caliper.

[0064] After the vehicle is powered on, the laser ranging module 401 measures the distance between the surface and bottom of the brake pads to obtain the brake clearance; the image acquisition module 402 acquires an image of the brake pads and extracts features from the image to obtain the edge contour information of the brake pads; the data processing module receives the brake clearance and edge contour information and calculates the actual thickness of the brake pads based on the brake clearance and edge contour information; the instrument panel display module 404 displays the actual thickness of the brake pads on the vehicle's instrument panel.

[0065] In one possible implementation, the data processing module 403 is specifically used to: input edge contour information into a preset neural network model to obtain the brake disc thickness; the preset neural network model is trained based on the edge contour information of multiple sample brake pad images and the sample brake disc thickness; and calculate the actual thickness of the brake pad based on the brake disc thickness and the brake clearance.

[0066] In one possible implementation, the data processing module 403 is specifically used to: calculate the difference between the brake disc thickness and the brake clearance; and determine the difference between the brake disc thickness and the brake clearance as the actual thickness of the brake pad.

[0067] In one possible implementation, the real-time brake pad thickness detection device further includes an audible and visual alarm module 405, which is used to issue an alarm sound and a warning light when the actual thickness of the brake pad is less than a preset threshold.

[0068] It should be noted that, Figure 4 The module division shown is illustrative and represents only one logical functional division; in actual implementation, other division methods are possible. For example, two or more functions can be integrated into a single processing module. These integrated modules can be implemented in hardware or as software functional units.

[0069] In an exemplary embodiment, this application also provides a computer-readable storage medium including software instructions that, when run on an electronic device, cause the electronic device to perform any of the methods provided in the above embodiments.

[0070] In an exemplary embodiment, this application also provides a computer program product containing computer execution instructions, which, when run on an electronic device, causes the electronic device to perform any of the methods provided in the above embodiments.

[0071] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer-executable instructions. When these computer-executable instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer-executable instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer-executable instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a solid-state disk (SSD), etc.

[0072] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0073] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

[0074] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for real-time detection of automotive brake pad thickness, characterized in that, Applied to a vehicle, the vehicle includes a laser ranging module, an image acquisition module, a data processing module, and an instrument panel display module. The laser ranging module is mounted on one side of the vehicle's brake calipers. The method includes: After the vehicle is powered on, the distance between the surface and bottom of the brake pads is measured by the laser ranging module to obtain the brake clearance; The image acquisition module acquires an image of the brake pad, and the image is used to extract features to obtain the edge contour information of the brake pad. The data processing module receives the brake gap and the edge contour information, and calculates the actual thickness of the brake pad based on the brake gap and the edge contour information. The actual thickness of the brake pads is displayed on the vehicle's dashboard via the dashboard display module.

2. The method according to claim 1, characterized in that, The step of calculating the actual thickness of the brake pad based on the brake clearance and the edge contour information includes: The edge contour information is input into a preset neural network model to obtain the brake disc thickness; the preset neural network model is trained based on the edge contour information of multiple sample brake pad images and the sample brake disc thickness. The actual thickness of the brake pads is calculated based on the thickness of the brake disc and the brake clearance.

3. The method according to claim 2, characterized in that, The calculation of the actual thickness of the brake pads based on the brake disc thickness and the brake clearance includes: Calculate the difference between the brake disc thickness and the brake clearance; The difference between the thickness of the brake disc and the gap of the brake is determined as the actual thickness of the brake pad.

4. The method according to any one of claims 1-3, characterized in that, The vehicle also includes an audible and visual alarm module, and the method further includes: If the actual thickness of the brake pad is less than a preset threshold, the audible and visual alarm module will emit an alarm sound and a warning light to alert the user.

5. A real-time detection device for automotive brake pad thickness, characterized in that, Deployed in a vehicle, the device includes a laser ranging module, an image acquisition module, a data processing module, and an instrument panel display module, with the laser ranging module installed on one side of the vehicle's brake caliper. After the vehicle is powered on, the laser ranging module is used to measure the distance between the surface and bottom of the brake pads to obtain the brake clearance; The image acquisition module is used to acquire images of the brake pads and extract features from the images to obtain the edge contour information of the brake pads. The data processing module is used to receive the brake gap and the edge contour information, and calculate the actual thickness of the brake pad based on the brake gap and the edge contour information. The instrument panel display module is used to display the actual thickness of the brake pads on the vehicle's instrument panel.

6. The apparatus according to claim 5, characterized in that, The data processing module is specifically used for: The edge contour information is input into a preset neural network model to obtain the brake disc thickness; the preset neural network model is trained based on the edge contour information of multiple sample brake pad images and the sample brake disc thickness. The actual thickness of the brake pads is calculated based on the thickness of the brake disc and the brake clearance.

7. The apparatus according to claim 6, characterized in that, The data processing module is specifically used for: Calculate the difference between the brake disc thickness and the brake clearance; The difference between the thickness of the brake disc and the gap of the brake is determined as the actual thickness of the brake pad.

8. The apparatus according to any one of claims 5-7, characterized in that, The device further includes an audible and visual alarm module, which is used for: If the actual thickness of the brake pad is less than a preset threshold, the audible and visual alarm module will emit an alarm sound and a warning light to alert the user.

9. A computer-readable storage medium, characterized in that, The readable storage medium includes: software instructions; When the software instructions are executed in the vehicle's electronic equipment, the electronic equipment causes the electronic equipment to perform the method as described in any one of claims 1-4.

10. A vehicle, characterized in that, The invention includes the real-time detection device for automotive brake pad thickness as described in any one of claims 5-8.

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