Automobile intelligent cabin controller assembly detection method, device, equipment and medium

Abstract

The invention discloses an automobile intelligent cabin controller assembly detection method, device, equipment and medium, and relates to the technical field of automobile detection.The method comprises the steps that version number reading, data writing and device on-off detection are executed on a to-be-detected controller based on image recognition programming software, and an execution result is displayed through the image recognition programming software; the image identification programming software drives the to-be-detected controller to control the change of a rotating speed pointer of the instrument screen and the change of the color of the central control screen, and judges whether the instrument screen and the central control screen are qualified or not based on a visual identification mode; and the image identification programming software drives the controller to be detected to enter a sleep mode and turns off an ACC power supply, and quiescent current testing and recording are carried out, so that quiescent current detection of the controller to be detected is realized. The detection efficiency is high, the detection result is reliable, the detection result is automatically recorded, and subsequent query and tracing are facilitated.

Description

Technical Field

[0001] The present application relates to the field of automobile detection technology, and in particular to a method, device, equipment and medium for detecting an automobile intelligent cockpit controller assembly. Background Art

[0002] The inspection of the automobile intelligent cockpit controller assembly is mainly used to detect whether the various functions of the intelligent cockpit controller can be realized normally. The current inspection methods are: manual plugging and unplugging of the wiring harness, touching the central control screen for operation inspection, operating external equipment to trigger the controller to generate signals, and mainly relying on manual visual inspection and recording. The equipment required for inspection includes: controller (with central control screen and instrument screen), voltage-stabilized power supply, wiring harness, signal generator, resistance load, and multimeter.

[0003] For the existing detection method, the specific operation process is: 1. Manually connect the controller power supply, plug in the central control screen and the instrument screen, connect the signal generator, the resistive load, and the multimeter; 2. Operate the central control screen to perform basic function tests, such as touch screen, radio FM (Frequency Modulation) station search, etc.; 3. Check whether the small software versions (MCU / IC / IVI) of the controller and the total version are correct; 4. Operate the signal generator to send different signals, check whether the instrument speed display is correct, and whether the brightness and color of the central control screen and the instrument screen change; 5. Turn off the ACC power supply (auxiliary power supply), wait for 20 seconds, check the current value of the multimeter, and record the static current data; 6. Turn off the power, unplug the wiring harness, and remove the controller.

[0004] The current detection methods have the following problems: (1) The equipment and products are connected by manually plugging and unplugging the wiring harness, which is time-consuming and labor-intensive, and the labor intensity is high. Fingers are easily injured if they exert force for a long time; (2) The wiring harness connectors are often rubbed, which is prone to poor contact and misjudgment; (3) The detection results mainly rely on manual visual inspection, which has a certain degree of unreliability; (4) Manual detection efficiency is low and cannot meet the needs of mass production; (5) There is no data record of the detection results, or the data is recorded manually, and the traceability effect is poor; (6) There is no comparison to prevent errors, and there is a risk of defective products flowing out; (7) The detection capability is limited, and many contents that require communication reading and writing cannot be realized, such as reading the hardware version number and changing some calibration parameters. Summary of the invention

[0005] The present application provides a method, device, equipment and medium for detecting an automobile intelligent cockpit controller assembly, which has high detection efficiency, reliable detection results, and automatically records the detection results to facilitate subsequent query and tracing.

[0006] In a first aspect, an embodiment of the present application provides a method for detecting an automobile intelligent cockpit controller assembly, the method comprising:

[0007] Based on the image recognition programming software, the version number of the controller to be detected is read, data is written, and the device is turned on and off. The execution results are displayed through the image recognition programming software;

[0008] The image recognition programming software drives the controller to be tested to control the change of the speed pointer of the instrument screen and the color of the central control screen, and determines whether the instrument screen and the central control screen are qualified based on the visual recognition method;

[0009] The image recognition programming software drives the controller to be detected to enter the sleep mode and turn off the ACC power supply, performs a static current test and records it, and realizes the static current detection of the controller to be detected.

[0010] In combination with the first aspect, in one implementation, before performing version number reading, data writing, and device on / off detection on the controller to be detected based on the image recognition programming software, it also includes:

[0011] The controller to be tested is powered by a programmable power supply, and voltage output is performed based on test requirements;

[0012] Connect the controller to be tested to the oscilloscope and multimeter, and display the real-time voltage and current of the controller on the image recognition programming software.

[0013] In combination with the first aspect, in one implementation, the version number reading specifically includes:

[0014] According to the byte address required by the communication protocol, the image recognition programming software reads the version number of the target object in the controller to be detected through CAN communication;

[0015] Display the read version number in the image recognition programming software and compare it with the version number originally set for the controller to be detected;

[0016] The version number includes software version number, APP version number, and data version number.

[0017] In combination with the first aspect, in one implementation, data writing specifically includes:

[0018] The image recognition programming software sends a data writing request to the controller to be detected, and after encryption and decryption and communication response operations, writes the specified data into the target location of the controller to be detected;

[0019] The specified data written in the controller to be detected is detected and displayed in the image recognition programming software, and compared with the original specified data.

[0020] In combination with the first aspect, in one implementation, the on-off detection of the device specifically includes:

[0021] The image recognition programming software sends function control signals to the controller to be detected through CAN communication;

[0022] Use a multimeter to check whether the output voltage of the corresponding pin in the controller to be tested is within the required range, so as to detect whether the corresponding device function on the circuit board is normal;

[0023] The image recognition programming software displays the test results and compares them with the actual status of the device function.

[0024] In combination with the first aspect, in one implementation, the image recognition programming software drives the controller to be detected to control the change of the speed pointer of the instrument screen and the color of the central control screen, and determines whether the instrument screen and the central control screen are qualified based on the visual recognition method, specifically including:

[0025] The image recognition programming software sends a speed control signal to the controller to be detected through CAN communication to control the speed pointer on the instrument screen;

[0026] The instrument screen is photographed to obtain an instrument screen image, and whether the rotation speed in the instrument screen image is consistent with the rotation speed in the rotation speed control signal is determined based on a visual recognition method, thereby determining whether the instrument screen display is qualified;

[0027] The image recognition programming software sends a color control signal to the controller to be detected through CAN communication to control the color change of the central control screen;

[0028] The instrument screen is photographed to obtain the central control screen image, and based on the visual recognition method, it is determined whether the color in the central control screen image is consistent with the color in the color control signal, thereby determining whether the central control screen display is qualified.

[0029] In combination with the first aspect, in one implementation, the image recognition programming software drives the controller to be detected to enter a sleep mode and turns off the ACC power supply, performs a static current test and records it, and implements static current detection of the controller to be detected, specifically including:

[0030] The image recognition programming software sends a signal to the controller to be detected through CAN communication to control the controller to be detected to enter the sleep mode and turn off the ACC power supply of the controller to be detected;

[0031] After waiting for the set time, test the static current of the controller to be tested and record the static current data through a multimeter;

[0032] The image recognition programming software displays the static current obtained from the test and determines whether the static current is within the set range.

[0033] In a second aspect, an embodiment of the present application provides a vehicle intelligent cockpit controller assembly detection device, the vehicle intelligent cockpit controller assembly detection device comprising:

[0034] The first detection module is used to perform version number reading, data writing, and device on / off detection on the controller to be detected based on the image recognition programming software, and display the execution results through the image recognition programming software;

[0035] The second detection module is used to prompt the image recognition programming software to drive the controller to be detected to control the change of the speed pointer of the instrument screen and the color of the central control screen, and to determine whether the instrument screen and the central control screen are qualified based on the visual recognition method;

[0036] The third detection module is used to prompt the image recognition programming software to drive the controller to be detected to enter the sleep mode and turn off the ACC power supply, perform static current test and record, and realize static current detection of the controller to be detected.

[0037] In the third aspect, an embodiment of the present application provides an automobile intelligent cockpit controller assembly detection device, which includes a processor, a memory, and an automobile intelligent cockpit controller assembly detection program stored in the memory and executable by the processor, wherein when the automobile intelligent cockpit controller assembly detection program is executed by the processor, the steps of the above-mentioned automobile intelligent cockpit controller assembly detection method are implemented.

[0038] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which is stored a vehicle intelligent cockpit controller assembly detection program, wherein when the vehicle intelligent cockpit controller assembly detection program is executed by a processor, the steps of the above-mentioned vehicle intelligent cockpit controller assembly detection method are implemented.

[0039] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0040] It can realize voltage and current detection of the intelligent cockpit controller, and can also realize data reading and comparison, data writing, controller internal device function and on-off detection, instrument screen and central control screen identification, static current detection, to ensure that all offline products are qualified, effectively improve customer satisfaction, and enhance product competitiveness; this application has high detection efficiency, reliable test results, and automatically records test results, which is convenient for subsequent query and traceability. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of the automotive intelligent cockpit controller assembly detection method of the present application;

[0042] Figure 2This is a schematic diagram of the hardware device connection when the automobile intelligent cockpit controller assembly detection method is applied in this application;

[0043] Figure 3 This is a schematic diagram of the functional modules of the vehicle intelligent cockpit controller assembly detection device of this application;

[0044] Figure 4 This is a schematic diagram of the hardware structure of the automobile intelligent cockpit controller assembly detection equipment of this application. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0047] In a first aspect, an embodiment of the present application provides a method for detecting an automobile intelligent cockpit controller assembly.

[0048] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the automotive intelligent cockpit controller assembly detection method of this application. Figure 1 As shown, the vehicle intelligent cockpit controller assembly detection method includes:

[0049] S1: Based on the image recognition programming software, the version number of the controller to be detected is read, data is written, and the device is turned on and off. The execution results are displayed through the image recognition programming software;

[0050] In a possible implementation, the image recognition programming software is LabVIEW, which can significantly improve the efficiency of test system development through intuitive programming, seamless connection with all instruments, and a fully integrated user interface. In this application, LabVIEW is used to implement the test control of the controller. Specifically, the image recognition programming software is used to realize the detection control of the controller to be detected, the triggering and acquisition of signals, the recognition and analysis of pictures, the recording and tracing of the test results, and the comparison of the test results.

[0051] Furthermore, in one embodiment, before performing version number reading, data writing, and device on / off detection on the controller to be detected based on the image recognition programming software, it also includes:

[0052] S101: Power the controller to be tested through a programmable power supply, and output voltage based on test requirements;

[0053] S102: Connect the controller to be tested to an oscilloscope and a multimeter, and display the real-time voltage and current of the controller on the image recognition programming software.

[0054] Specifically, during the test, a programmable power supply is used to power the controller to be detected, and the test requires a set voltage to be outputted by the controller to be detected. The controller to be detected is then connected to an oscilloscope and a multimeter so that the real-time voltage and current of the detection controller can be displayed on the image recognition programming software.

[0055] In this application, the version number reading specifically includes:

[0056] S111: According to the byte address required by the communication protocol, the image recognition programming software reads the version number of the target object in the controller to be detected through the CAN (Controller Area Network) communication method;

[0057] S112: Display the read version number in the image recognition programming software and compare it with the version number originally set for the controller to be detected; the version number includes the software version number, the APP version number, and the data version number.

[0058] Specifically, according to the byte address required by the communication protocol, the image recognition programming software reads the version number information of the corresponding position in the controller to be detected through the CAN communication method. It should be noted that when reading part of the version number information, such as reading the data version number, it is necessary to send a request to the controller to be detected, and the data version number can be read only after receiving a reply; after the version number information is read, the read version number will be displayed in the image recognition programming software and compared with the version number originally set for the controller to be detected. The comparison method is used to achieve the purpose of error prevention. If they are consistent, it indicates that the version number information of the controller to be detected is qualified.

[0059] In this application, data writing specifically includes:

[0060] S121: the image recognition programming software sends a data writing request to the controller to be detected, and after encryption and decryption and communication response operations, writes the specified data to the target location of the controller to be detected;

[0061] S122: Detect the designated data written in the controller to be detected and display it in the image recognition programming software, and compare it with the original designated data.

[0062] Specifically, when writing data to a designated location inside the controller to be detected, it is necessary to first send a data write request to the controller to be detected. After encryption and decryption and a series of back-and-forth communication responses, the designated data is finally written to the corresponding location of the controller to be detected. When the data is written, the written data is displayed on the image recognition programming software and compared with the original data to be written. If they are consistent, it means that the data writing of the controller to be detected is qualified.

[0063] In this application, the on-off detection of the device specifically includes:

[0064] S131: The image recognition programming software sends a function control signal to the controller to be detected via CAN communication;

[0065] S132: Using a multimeter to detect whether the output voltage of the corresponding pin in the controller to be detected is within the required range, so as to detect whether the corresponding device function on the circuit board is normal;

[0066] S133: The image recognition programming software displays the detection results and compares them with the actual status of the device function.

[0067] Specifically, the image recognition programming software sends a function control signal to the controller to be tested through CAN communication, and uses a multimeter to detect whether the output voltage of the corresponding pin in the controller to be tested is within the required range, so as to detect whether the corresponding device function on the circuit board is normal and the connection is good. Then the image recognition programming software displays the test results and compares them with the actual status of the device function. If they are consistent, it indicates that the device of the controller to be tested is normally on and off.

[0068] S2: The image recognition programming software drives the controller to be tested to control the change of the speed pointer of the instrument screen and the color of the central control screen, and determines whether the instrument screen and the central control screen are qualified based on the visual recognition method;

[0069] Furthermore, in one embodiment, the image recognition programming software drives the controller to be detected to control the change of the speed pointer of the instrument screen and the color of the central control screen, and determines whether the instrument screen and the central control screen are qualified based on the visual recognition method, specifically including:

[0070] S201: the image recognition programming software sends a speed control signal to the controller to be detected through the CAN communication method to control the speed pointer on the instrument screen;

[0071] S202: photographing the instrument screen to obtain an instrument screen image, and judging whether the rotation speed in the instrument screen image is consistent with the rotation speed in the rotation speed control signal based on a visual recognition method, thereby determining whether the instrument screen display is qualified;

[0072] Specifically, the image recognition programming software sends a speed control signal to the controller to be tested through CAN communication, so that the controller to be tested controls the speed pointer of the instrument screen to rotate to the corresponding position. Then, a camera is used to take a photo of the instrument screen, and the speed value corresponding to the speed pointer in the photo is identified based on visual recognition technology. It is compared with the speed in the speed control signal. If they are consistent, it indicates that the speed display on the instrument screen is qualified.

[0073] S203: The image recognition programming software sends a color control signal to the controller to be detected through CAN communication to control the color change of the central control screen;

[0074] S204: photograph the instrument screen to obtain a central control screen image, and determine whether the color in the central control screen image is consistent with the color in the color control signal based on visual recognition, thereby determining whether the central control screen display is qualified.

[0075] Specifically, the image recognition programming software sends a color control signal to the controller to be detected through CAN communication, so that the controller to be detected controls the central control screen to change color. Then, a camera is used to take a photo of the central control screen, and the color of the central control screen in the photo is identified based on visual recognition technology. It is compared with the color in the color control signal. If they are consistent, it indicates that the color display of the central control screen is normal.

[0076] S3: The image recognition programming software drives the controller to be tested to enter the sleep mode and turns off the ACC power supply, performs a static current test and records it, and realizes the static current detection of the controller to be tested.

[0077] Furthermore, in one embodiment, the image recognition programming software drives the controller to be detected to enter the sleep mode and turn off the ACC power supply, performs a static current test and records it, and implements the static current detection of the controller to be detected, specifically including:

[0078] S301: the image recognition programming software sends a signal to the controller to be detected through the CAN communication method to control the controller to be detected to enter the sleep mode and turn off the ACC power supply of the controller to be detected;

[0079] S302: After waiting for a set time, test the static current of the controller to be tested, and record the static current data through a multimeter; the set time can be 20 seconds;

[0080] S303: The image recognition programming software displays the static current obtained by the test and determines whether the static current is within the set range. If the static current obtained by the test is within the set range, it indicates that the static current detection of the controller to be detected is normal.

[0081] See also Figure 2As shown, the hardware equipment connection diagram when the automobile intelligent cockpit controller assembly detection method of the present application is applied, and the equipment to be used includes a computer, image recognition programming software running in the computer, a signal generator, a programmable power supply, a load resistor, a multimeter, and a camera. Furthermore, the image recognition programming software, the signal generator, the programmable power supply, the load resistor, the multimeter, and the camera can be integrated into an assembly detection component, so as to realize the detection of the controller based on the assembly detection component, and all detection items are displayed on the computer screen and recorded in the background.

[0082] The specific detection process of the controller to be detected is described below.

[0083] 1. Place the controller to be tested on the fixture, push the handle to clamp the controller to be tested, use a barcode scanner to scan the QR code on the label of the controller to be tested, and prepare for automatic testing;

[0084] 2. The assembly detection component automatically completes the power-on of the controller to be detected, version number reading, data writing, circuit board device function and on-off detection, instrument screen and central control screen display correctness detection, static current detection, and then powers off the controller to be detected and outputs the detection results;

[0085] 3. After the test is completed, observe whether the image recognition programming software shows that the test is qualified, and then remove the controller to be tested.

[0086] In actual applications, it takes about 3 minutes to complete the inspection of a controller to be inspected. According to the actual inspection data of the controller to be inspected, the number of assembly inspection components can be increased to improve the inspection efficiency.

[0087] This application adopts a fixture docking method, which requires only the controller to be tested to be placed and the handle to be pushed, with low work intensity; a special probe is used with good conductivity, stable signal transmission and high reliability; automatic detection can be realized, the software and hardware version numbers can be read and identified, and the camera records the screen, and the results are true and reliable; the detection efficiency is high, and computer control is adopted, most signals can be detected in parallel, which is conducive to mass production; the detection results can be automatically recorded for easy query and traceability; the identification data is read and compared with the set parameters to achieve effective error prevention and prevent the defective controller from flowing out; it is equipped with a data acquisition card, an integrated resistance load and a signal generator, and communicates with the controller to be tested through CAN or serial port, and can read all the information inside the controller to be tested and calibrate and write the parameters that need to be written.

[0088] The automobile intelligent cockpit controller assembly detection method of the embodiment of the present application can realize voltage and current detection of the intelligent cockpit controller, and can also realize data reading and comparison, data writing, controller internal device function and on-off detection, instrument screen and central control screen identification, and static current detection, to ensure that all offline products are in a qualified state, effectively improve customer satisfaction, and enhance product competitiveness; the present application has high detection efficiency, reliable detection results, and automatically records the detection results, which is convenient for subsequent query and tracing.

[0089] In a second aspect, an embodiment of the present application also provides a vehicle intelligent cockpit controller assembly detection device.

[0090] In one embodiment, referring to Figure 3 , Figure 3 This is a functional module diagram of the vehicle intelligent cockpit controller assembly detection device of this application. Figure 3 As shown, the automobile intelligent cockpit controller assembly detection device includes: a first detection module, a second detection module, and a third detection module.

[0091] The first detection module is used to execute version number reading, data writing, and device on-off detection on the controller to be detected based on the image recognition programming software, and display the execution results through the image recognition programming software; the second detection module is used to prompt the image recognition programming software to drive the controller to be detected to control the change of the speed pointer of the instrument screen and the color of the central control screen, and judge whether the instrument screen and the central control screen are qualified based on the visual recognition method; the third detection module is used to prompt the image recognition programming software to drive the controller to be detected to enter the sleep mode and turn off the ACC power supply, perform static current test and record, so as to realize static current detection of the controller to be detected.

[0092] In a third aspect, an embodiment of the present application provides a vehicle intelligent cockpit controller assembly detection device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0093] Reference Figure 4 , Figure 4 The hardware structure diagram of the vehicle intelligent cockpit controller assembly detection device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the vehicle intelligent cockpit controller assembly detection device may include a processor, a memory, a communication interface, and a communication bus.

[0094] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0095] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the vehicle intelligent cockpit controller assembly detection equipment, and the interface used to realize the interconnection between the vehicle intelligent cockpit controller assembly detection equipment and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display (Display), a keyboard (Keyboard), etc.

[0096] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0097] The processor may be a general-purpose processor, which may call the automobile intelligent cockpit controller assembly detection program stored in the memory and execute the automobile intelligent cockpit controller assembly detection method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the automobile intelligent cockpit controller assembly detection program is called may refer to the various embodiments of the automobile intelligent cockpit controller assembly detection method of the present application, which will not be repeated here.

[0098] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0099] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0100] The computer-readable storage medium of the present application stores an automobile intelligent cockpit controller assembly detection program, wherein when the automobile intelligent cockpit controller assembly detection program is executed by a processor, the steps of the automobile intelligent cockpit controller assembly detection method as described above are implemented.

[0101] Among them, the method implemented when the automobile intelligent cockpit controller assembly detection program is executed can refer to the various embodiments of the automobile intelligent cockpit controller assembly detection method of the present application, and will not be repeated here.

[0102] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0103] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0104] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0105] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0106] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0107] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for detecting an automobile intelligent cockpit controller assembly, characterized in that: The automobile intelligent cockpit controller assembly detection method comprises: Based on the image recognition programming software, the version number of the controller to be detected is read, data is written, and the device is turned on and off. The execution results are displayed through the image recognition programming software; The image recognition programming software drives the controller to be tested to control the change of the speed pointer of the instrument screen and the color of the central control screen, and determines whether the instrument screen and the central control screen are qualified based on the visual recognition method; The image recognition programming software drives the controller to be detected to enter the sleep mode and turn off the ACC power supply, performs a static current test and records it, and realizes the static current detection of the controller to be detected.

2. A method for detecting an automobile intelligent cockpit controller assembly as claimed in claim 1, characterized in that: Before the version number reading, data writing, and device on / off detection of the controller to be detected are performed based on the image recognition programming software, the following steps are also included: The controller to be tested is powered by a programmable power supply, and voltage output is performed based on test requirements; Connect the controller to be tested to the oscilloscope and multimeter, and display the real-time voltage and current of the controller on the image recognition programming software.

3. The method for detecting an automobile intelligent cockpit controller assembly according to claim 1, characterized in that: For version number reading, specifically including: According to the byte address required by the communication protocol, the image recognition programming software reads the version number of the target object in the controller to be detected through CAN communication; Display the read version number in the image recognition programming software and compare it with the version number originally set for the controller to be detected; The version number includes software version number, APP version number, and data version number.

4. The method for detecting an automobile intelligent cockpit controller assembly according to claim 1, characterized in that: For data writing, it specifically includes: The image recognition programming software sends a data writing request to the controller to be detected, and after encryption and decryption and communication response operations, writes the specified data into the target location of the controller to be detected; The specified data written in the controller to be detected is detected and displayed in the image recognition programming software, and compared with the original specified data.

5. The method for detecting an automobile intelligent cockpit controller assembly according to claim 1, characterized in that: For device on / off detection, it specifically includes: The image recognition programming software sends function control signals to the controller to be detected through CAN communication; Use a multimeter to check whether the output voltage of the corresponding pin in the controller to be tested is within the required range, so as to detect whether the corresponding device function on the circuit board is normal; The image recognition programming software displays the test results and compares them with the actual status of the device function.

6. The method for detecting an automobile intelligent cockpit controller assembly according to claim 1, characterized in that: The image recognition programming software drives the controller to be tested to control the change of the speed pointer of the instrument screen and the color of the central control screen, and determines whether the instrument screen and the central control screen are qualified based on the visual recognition method, specifically including: The image recognition programming software sends a speed control signal to the controller to be detected through CAN communication to control the speed pointer on the instrument screen; The instrument screen is photographed to obtain an instrument screen image, and whether the rotation speed in the instrument screen image is consistent with the rotation speed in the rotation speed control signal is determined based on a visual recognition method, thereby determining whether the instrument screen display is qualified; The image recognition programming software sends a color control signal to the controller to be detected through CAN communication to control the color change of the central control screen; The instrument screen is photographed to obtain the central control screen image, and based on the visual recognition method, it is determined whether the color in the central control screen image is consistent with the color in the color control signal, thereby determining whether the central control screen display is qualified.

7. The method for detecting an automobile intelligent cockpit controller assembly according to claim 1, characterized in that: The image recognition programming software drives the controller to be detected to enter the sleep mode and turn off the ACC power supply, performs a static current test and records it, and realizes the static current detection of the controller to be detected, specifically including: The image recognition programming software sends a signal to the controller to be detected through CAN communication to control the controller to be detected to enter the sleep mode and turn off the ACC power supply of the controller to be detected; After waiting for the set time, test the static current of the controller to be tested and record the static current data through a multimeter; The image recognition programming software displays the static current obtained from the test and determines whether the static current is within the set range.

8. A vehicle intelligent cockpit controller assembly detection device, characterized in that: The automobile intelligent cockpit controller assembly detection device comprises: The first detection module is used to perform version number reading, data writing, and device on / off detection on the controller to be detected based on the image recognition programming software, and display the execution results through the image recognition programming software; The second detection module is used to prompt the image recognition programming software to drive the controller to be detected to control the change of the speed pointer of the instrument screen and the color of the central control screen, and to determine whether the instrument screen and the central control screen are qualified based on the visual recognition method; The third detection module is used to prompt the image recognition programming software to drive the controller to be detected to enter the sleep mode and turn off the ACC power supply, perform static current test and record, and realize static current detection of the controller to be detected.

9. An automobile intelligent cockpit controller assembly detection device, characterized in that: The automobile intelligent cockpit controller assembly detection device includes a processor, a memory, and an automobile intelligent cockpit controller assembly detection program stored in the memory and executable by the processor. When the automobile intelligent cockpit controller assembly detection program is executed by the processor, the steps of the automobile intelligent cockpit controller assembly detection method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an automobile intelligent cockpit controller assembly detection program, wherein when the automobile intelligent cockpit controller assembly detection program is executed by a processor, the steps of the automobile intelligent cockpit controller assembly detection method as described in any one of claims 1 to 7 are implemented.

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