WO2023125852A1 - 远程诊断方法及装置、电子设备和存储介质 - Google Patents

远程诊断方法及装置、电子设备和存储介质 Download PDF

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Publication number
WO2023125852A1
WO2023125852A1 PCT/CN2022/143587 CN2022143587W WO2023125852A1 WO 2023125852 A1 WO2023125852 A1 WO 2023125852A1 CN 2022143587 W CN2022143587 W CN 2022143587W WO 2023125852 A1 WO2023125852 A1 WO 2023125852A1
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Prior art keywords
server
vehicle
diagnostic
test script
remote
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PCT/CN2022/143587
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English (en)
French (fr)
Inventor
杨挺
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北京罗克维尔斯科技有限公司
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Publication of WO2023125852A1 publication Critical patent/WO2023125852A1/zh

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0262—Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24065—Real time diagnostics

Definitions

  • the present disclosure relates to the technical field of vehicles, in particular to a remote diagnosis method and device, electronic equipment, storage media, computer program products and computer programs.
  • the traditional automotive after-sales diagnostic instrument is based on the diagnostic computer as the core.
  • the after-sales diagnostic engine of the automotive after-sales diagnostic instrument is on the computer of the after-sales diagnostic equipment, and the vehicle itself is the object of maintenance.
  • the traditional diagnostic instrument and the maintenance vehicle need to be on the same site, and the after-sales diagnostic instrument is connected to the vehicle through the On Board Diagnostics (OBD) harness to realize vehicle maintenance.
  • OBD On Board Diagnostics
  • Embodiments of the present disclosure provide a remote diagnosis method and device, electronic equipment, storage media, computer program products and computer programs.
  • a remote diagnosis method is provided, and the remote diagnosis method is applied to a vehicle controller, including:
  • the remote diagnosis instruction corresponding to the diagnosis category, and used to instruct the vehicle to be diagnosed to execute the target test script corresponding to the remote diagnosis instruction;
  • executing the target test script based on the remote control instruction includes:
  • test script execution sequence includes the operations that need to be performed in the test steps, and the diagnostic equipment is included in the vehicle. equipment;
  • test script execution sequence corresponding to the diagnostic device, and transmitting the test script execution sequence to the diagnostic device, so that the diagnostic device executes the test script execution sequence according to the operations required to be performed by the test steps.
  • calling a preset interface corresponding to the diagnostic device, and transmitting the test script execution sequence to the diagnostic device includes:
  • the M-core controller sends the test script execution sequence after the protocol conversion to the diagnostic equipment.
  • the reporting the execution result of the target test script to the server includes:
  • the diagnostic database Calling the diagnostic database, and analyzing the signal variables generated by executing each test step based on the diagnostic database, the diagnostic database records the corresponding relationship between all the signal variables that execute the test steps and the diagnostic faults;
  • receiving the remote control instruction sent by the server includes:
  • the receiving server acquires the remote control instruction in response to the remote diagnosis request of the vehicle to be diagnosed
  • the server includes an offline server and a cloud server
  • the receiving server obtains the remote control instruction by: after the offline server conducts electrical inspection on the vehicle to be diagnosed, based on the electrical inspection performed by the offline server, As a result, sending the remote diagnosis request to the cloud server;
  • the server includes: an after-sales service server and a cloud server;
  • the receiving the remote control instruction issued by the server according to the vehicle status data of the vehicle to be diagnosed includes: receiving the remote control instruction issued by the after-sales service server calling the preset interface of the cloud server , the after-sales service server is configured to diagnose the vehicle to be diagnosed based on preset conditions according to the vehicle data of the vehicle to be diagnosed.
  • a remote diagnosis device is provided, the device is applied to a vehicle controller, including:
  • a receiving unit configured to receive a remote control command sent by a server, the remote diagnostic command corresponding to the diagnostic category, and used to instruct the vehicle to be diagnosed to execute a target test script corresponding to the remote diagnostic command;
  • an execution unit configured to execute the target test script based on the remote control instruction
  • a reporting unit configured to report the execution result of the target test script to the server.
  • the execution unit includes:
  • An analysis module configured to analyze the target test script
  • a determining module configured to determine the diagnostic device pointed to by the diagnostic category, and determine a corresponding test script execution sequence, the test script execution sequence includes operations that need to be performed in the test step, and the diagnostic device is a device included in the vehicle;
  • a calling module configured to call a preset interface corresponding to the diagnostic device, and transmit the test script execution sequence to the diagnostic device, so that the diagnostic device executes the test script according to the operations required by the test steps Execute the sequence.
  • the calling module is also used for:
  • the M-core controller sends the test script execution sequence after the protocol conversion to the diagnostic equipment.
  • the reporting unit includes:
  • calling module used for calling diagnosis database
  • An analysis module configured to analyze the signal variables generated by executing each test step based on the diagnostic database, wherein the diagnostic database records the correspondence between all signal variables of the executed test steps and the diagnostic faults;
  • a reporting module configured to report the diagnostic fault determined by analysis to the server.
  • the receiving unit includes:
  • the first receiving module is configured to receive the remote control instruction obtained by the server in response to the remote diagnosis request of the vehicle to be diagnosed;
  • the second receiving module is configured to receive the remote control instruction issued by the server according to the vehicle state data of the vehicle to be diagnosed.
  • the server includes an offline server and a cloud server
  • the first receiving module is also used for:
  • the offline server After the offline server conducts electrical inspection on the vehicle to be diagnosed, based on the electrical inspection result, the offline server sends the remote diagnosis request to the cloud server;
  • the server includes: an after-sales service server and a cloud server;
  • the second receiving module is also used for:
  • the after-sales service server is used to diagnose the vehicle to be diagnosed based on the vehicle state data of the vehicle to be diagnosed The vehicle is diagnosed.
  • an electronic device including:
  • the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can perform the method described in any embodiment of the preceding aspect .
  • a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to make the computer execute the method described in any one of the above-mentioned embodiments. remote diagnosis method.
  • a computer program product including a computer program.
  • the computer program is executed by a processor, the remote diagnosis method as described in any one of the above-mentioned embodiments is implemented.
  • a computer program including computer program code, when the computer program code is run on a computer, so that the computer executes the remote diagnosis described in any one of the above-mentioned embodiments. method.
  • the remote diagnosis method and device, electronic equipment, storage medium, computer program product, and computer program provided by the present disclosure receive a remote control instruction sent by a server, and the remote diagnosis instruction corresponds to the diagnosis category and is used to indicate the to-be-diagnosed
  • the vehicle executes the target test script corresponding to the remote diagnosis command, executes the target test script based on the remote control command, and reports the execution result of the target test script to the server.
  • the introduction of the vehicle-side target diagnosis script can reduce the time for vehicle fault inspection and location, thereby improving maintenance efficiency.
  • FIG. 1 is a schematic flowchart of a remote diagnosis method provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of a preset diagnosis engine and a preset interface provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of a remote diagnosis system provided by an embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of another remote diagnostic device provided by an embodiment of the present disclosure.
  • FIG. 5 is a schematic structural diagram of a remote diagnostic device provided by an embodiment of the present disclosure.
  • Fig. 6 is a schematic block diagram of an electronic device 300 provided by an embodiment of the present disclosure.
  • Fig. 1 is a schematic flowchart of a remote diagnosis method provided by an embodiment of the present disclosure.
  • the method includes step 101 - step 103 .
  • Step 101 receiving a remote control instruction sent by a server, the remote diagnosis instruction corresponding to the diagnosis category, and used to instruct the vehicle to be diagnosed to execute a target test script corresponding to the remote diagnosis instruction.
  • the timing for the server to send the remote control command can be after the vehicle to be diagnosed sends the request information, or it can be the remote control command sent by the server to the vehicle to be diagnosed actively. Triggering the sending of a remote control command for instructing the vehicle to be diagnosed to execute the target test script.
  • the target test script is one or at least one of the test scripts.
  • the test script is generated on the server side and sent to the vehicle to be diagnosed, or the vehicle to be diagnosed requests to download the test script and stores the received test script.
  • the local script database after receiving the remote control command, from the local script database.
  • the test script is a scripted description of a diagnostic test sequence execution process (that is, the test script is a test script execution sequence).
  • the description of the limited scripting language can only be lua, and any language can be used to describe the test script as a script.
  • different test scripts can be divided by diagnostic categories. For example, the diagnostic category is full vehicle diagnosis, and its corresponding test script ID is test script 1.
  • the test script ID is test script 2, the diagnostic category is key matching diagnosis, and the corresponding test script ID is test script 3 and so on.
  • the trigger of remote diagnosis usually comes from the diagnosis service function requirement, which is usually output in docx file format and sent by the offline inspection server or after-sales diagnosis service server.
  • the diagnosis service function requirement is requesting the offline inspection server
  • the task of checking a station for key matching, the corresponding test script is the key matching test script.
  • the function requirement of the diagnosis service is to request the after-sales diagnosis service server to read all the fault codes of a vehicle, and the corresponding test script is the test script of the whole vehicle fault codes, which is usually output in an xlsm format file.
  • Step 102 execute the target test script based on the remote control instruction.
  • the remote control instruction usually includes a diagnostic category. After the vehicle to be diagnosed receives the remote control instruction, it parses the diagnostic category, and searches the local script database for the target test corresponding to the diagnostic category according to the script ID corresponding to the diagnostic category. script.
  • the test script After determining the target test script, the test script is analyzed based on the preset diagnosis engine Diag Agent, the test script execution sequence of the test script is obtained, and the target test script is executed. Since the target test script is described in lua script language, Therefore, the corresponding preset diagnosis engine Diag Agent can run the lua script to realize the target test script.
  • Step 103 reporting the execution result of the target test script to the server.
  • the diagnosis result includes at least one of the execution process information of the test script, the data recording file information of the execution process of the test script, and the execution result information of the test script.
  • the preset diagnosis engine Diag Agent should be able to save and record the diagnostic sending and receiving bus messages related to the execution of this test sequence synchronously according to the same time stamp during the execution of the test script execution sequence, and realize the report according to the storage requirements of the report configuration file defined by the test sequence Configuration file storage and reporting.
  • the remote diagnosis method receives a remote control instruction sent by a server, the remote diagnosis instruction corresponds to the diagnosis category, and is used to instruct the vehicle to be diagnosed to execute the target test script corresponding to the remote diagnosis instruction, Execute the target test script based on the remote control command, and report the execution result of the target test script to the server.
  • the introduction of the target diagnostic script can reduce the time for vehicle fault inspection and location, Thereby improving maintenance efficiency.
  • the target test script when executing the target test script based on the remote control instruction in step 102, it includes: parsing the target test script based on the preset diagnosis engine Diag Agent, and determining the direction of the diagnostic category diagnostic equipment, determine the corresponding test script execution sequence, the test script execution sequence contains the operations that need to be performed in the test steps, the diagnostic equipment is a device included in the vehicle; call the preset interface corresponding to the diagnostic equipment, and transfer the The test script execution sequence is transmitted to the diagnostic device, so that the diagnostic device executes the test script execution sequence according to the operations required by the test steps.
  • the target test script is generated on the server.
  • the corresponding relationship between the diagnostic category and the diagnostic device is established.
  • the diagnostic category is car light detection
  • the corresponding diagnostic device is the car light.
  • call The preset interface corresponding to the vehicle light and transmits the test script execution sequence to the vehicle light, and executes the test script execution sequence according to the operations required to be performed in the test steps.
  • a mapping step is executed, and the execution result will be fed back to the preset diagnosis engine Diag Agent, so that the preset diagnosis engine Diag Agent can diagnose.
  • the above examples are given for ease of understanding.
  • the embodiments of the present disclosure do not limit the diagnostic category, diagnostic equipment, and operation information that needs to be performed in the test steps.
  • the server can be flexibly modified or updated according to different requirements.
  • FIG. 2 is a schematic diagram of a preset interface corresponding to a preset diagnosis engine provided by an embodiment of the present disclosure, and N is greater than 2.
  • test script execution sequence in the A core preset diagnosis engine Diag Agent cannot be directly recognized by the diagnostic equipment, the test script execution sequence is transmitted to the During the described diagnostic equipment, check the described test script execution sequence by the A of the vehicle controller to carry out protocol conversion, the test script execution sequence after the protocol conversion is sent to the M core controller, and the M core controller converts all the protocol conversions.
  • the test script execution sequence is sent to the diagnostic device.
  • the A core controller and the M core controller are essentially controllers, the difference is that the A core controller and the M core control hardware are different, and the execution software is different, and the A core is mainly used to support the diagnosis engine Diag Agent.
  • Running, the M core is mainly used to assist vehicle communication.
  • the embodiments of the present disclosure do not specifically limit the functional division of the A-core controller and the M-core control.
  • reporting the execution result of the target test script to the server includes: calling a diagnostic database, and analyzing the signal variable generated by executing each test step based on the diagnostic database, in the diagnostic database Correspondence between all signal variables for executing the test steps and diagnostic faults is recorded; and the diagnostic faults determined by analysis are reported to the server.
  • the target test script contains numerical calculations, logic, decision and loop related operations related to diagnostic variables and bus variables.
  • the diagnostic engine shall be able to parse test sequence scripts and implement operations.
  • the default diagnosis engine Diag Agent can call the preset communication interface to obtain the diagnosis database during the execution of the target test script.
  • the diagnosis database can realize all the diagnosis of the test script. Assume that the diagnostic engine DiagAgent monitors the change of each signal variable when executing the target test script, that is, after executing one of the steps in the target test script, confirm whether the signal variable in this step changes. Before executing the target test script, any There will be a default value for the signal. After the target test script is executed, the default signal value of the signal variable may change or remain unchanged, but the final execution result must be a fixed value. If the execution result of the signal variable is not If it is a fixed value, it can be judged that the signal is faulty. Based on the diagnostic database, the diagnostic fault results corresponding to the signal variables can be obtained.
  • the target test script is to detect vehicle lights.
  • the preset diagnosis engine executes the target test script, it calls and controls the operation of the vehicle lights. For example, when the vehicle lights turn left, the vehicle lights are activated. Turn right, before triggering: signal variable: left (left car light) -0, right (right car light) -0, after triggering: left-0, right-1, if the car light is not faulty, after triggering The final signal variable should be left-1, right-0.
  • the signal variable is detected to be changed, and the signal variable is diagnosed based on the diagnosis database to obtain the presence of the lights. Fault diagnosis results.
  • the above example is only a brief example for easy understanding, and does not represent a specific execution process, and the embodiment of the present disclosure does not limit the specific content of the target test script and the diagnostic database.
  • the receiving server acquires the remote control instruction in response to the remote diagnosis request of the vehicle to be diagnosed.
  • the vehicle to be diagnosed receives the remote control instruction sent by the server, the remote control instruction sent by the server according to the vehicle state data of the vehicle to be diagnosed is received.
  • the remote diagnosis method described in the embodiments of the present disclosure not only provides remote diagnosis, the remote diagnosis can be remote diagnosis when the vehicle to be diagnosed is faulty, and can also be a predictive alarm diagnosis when the vehicle to be diagnosed is not faulty. Carry out active prediction and alarm for vehicle failure.
  • the remote diagnosis system shown in Figure 3 is used, the server and the vehicle to be diagnosed, and the above servers include: offline server (Manufacturing Execution System, MES), cloud server (Business Service Platform for Diagnostics, BSP-D) and Aftersales Technical Service (ATS);
  • offline server Manufacturing Execution System
  • BSP-D Business Service Platform for Diagnostics
  • ATS Aftersales Technical Service
  • the receiving server responds to the remote diagnosis request of the vehicle to be diagnosed, and obtaining the remote control instruction includes: after the offline server MES conducts electrical inspection on the vehicle to be diagnosed, based on the The offline server MES sends the remote diagnosis request to the cloud server according to the inspection result; receives the remote control instruction sent by the cloud server.
  • the above-mentioned off-line server MES can realize automatic or semi-automatic electric inspection based on the vehicle terminal and cloud at different stations in the off-line link of the vehicle to be diagnosed.
  • the off-line server MES After the electric inspection of the vehicle to be diagnosed by the off-line server MES, it can determine The diagnosis category of the vehicle, the offline server MES sends the remote diagnosis request to the cloud server BSP-D based on the diagnosis category, the cloud server BSP-D responds to the remote diagnosis request, and sends a remote control command to the vehicle to be diagnosed,
  • the vehicle to be diagnosed can be diagnosed through the diagnosis method described in the above embodiment.
  • the above-mentioned implementation process can be used in the application scenario where the vehicle to be diagnosed has a fault.
  • the embodiment of the present disclosure can log in to the offline server MES. Complete diagnosis, the operation process of this method is simple and easy to operate, which can save detection time.
  • the receiving the remote control instruction issued by the server according to the vehicle state data of the vehicle to be diagnosed includes: receiving the after-sales service server calling the preset interface of the cloud server, and the issued The remote control instruction, the after-sales service server is used to diagnose the vehicle to be diagnosed based on preset conditions according to the vehicle data of the vehicle to be diagnosed.
  • the after-sales service server ATS calls the cloud server BSP-D interface, so that the cloud server BSP-D establishes wireless communication with the vehicle to be diagnosed, and then realizes the indirect connection between the after-sales service server ATS and the vehicle terminal.
  • Diagnosis based on preset conditions can be set in the after-sales service server according to the vehicle data of the vehicle to be diagnosed.
  • the diagnosis based on preset conditions can be set according to the mileage of the vehicle or the driving time of the vehicle. It can also be set based on the service time of a certain component, etc. This method can be applied to the application scenario where the vehicle to be diagnosed has a fault, and can also be applied to the active warning of the vehicle fault on the premise that the vehicle does not have a fault.
  • the embodiment of the present disclosure can reduce the time for checking and locating vehicle faults by remotely controlling the execution of the target diagnosis script at the vehicle end, thereby improving maintenance efficiency.
  • the server can update the test script diagnosis sequence of the car-end preset diagnosis engine Diag Agent in real time, so as to realize the upgrade of the diagnosis function of different vehicle platforms and different controllers.
  • the active diagnosis of the vehicle to be diagnosed can be carried out. When there is a problem with the vehicle inspection, the user is reminded to maintain it, or when parts need to be replaced, the replacement parts can be prepared in advance, further reducing maintenance. waiting time.
  • FIG. 4 is a schematic structural diagram of a remote diagnosis device provided by an embodiment of the present disclosure.
  • the device is applied to a vehicle controller. As shown in FIG. 4 , it includes a receiving unit 21 , an executing unit 22 and a reporting unit 23 .
  • the receiving unit 21 is configured to receive a remote control instruction sent by a server, the remote diagnosis instruction corresponds to the diagnosis category, and is used to instruct the vehicle to be diagnosed to execute the target test script corresponding to the remote diagnosis instruction.
  • the execution unit 22 is configured to execute the target test script based on the remote control instruction.
  • the reporting unit 23 is configured to report the execution result of the target test script to the server.
  • the remote diagnosis device receives a remote control instruction sent by a server, the remote diagnosis instruction corresponds to the diagnosis category, and is used to instruct the vehicle to be diagnosed to execute the target test script corresponding to the remote diagnosis instruction, Execute the target test script based on the remote control command, and report the execution result of the target test script to the server.
  • the introduction of the target diagnostic script can reduce the time for vehicle fault inspection and location, Thereby improving maintenance efficiency.
  • the execution unit 22 includes an analysis module 221 , a determination module 222 and a calling module 223 .
  • the parsing module 221 is used for parsing the target test script.
  • the determining module 222 is used to determine the diagnostic device pointed to by the diagnostic category, and determine the corresponding test script execution sequence, the test script execution sequence includes the operations that need to be performed in the test steps, and the diagnostic device is a device included in the vehicle.
  • the calling module 223 is used to call the preset interface corresponding to the diagnostic device, and transmit the test script execution sequence to the diagnostic device, so that the diagnostic device executes the Test script execution sequence.
  • the calling module 223 is further configured to:
  • the M-core controller sends the test script execution sequence after the protocol conversion to the diagnostic equipment.
  • the reporting unit 23 includes a calling module 231 , an analyzing module 232 and a reporting module 233 .
  • the calling module 231 is used to call the diagnosis database
  • the parsing module 232 is used for parsing the signal variables generated by executing each test step based on the diagnostic database, and the diagnostic database records the correspondence between all the signal variables of the executing test steps and the diagnostic faults.
  • the reporting module 233 is configured to report the diagnostic fault determined by analysis to the server.
  • the receiving unit 21 includes a first receiving module 211 and a second receiving module 212 .
  • the first receiving module 211 is configured to receive the remote control instruction acquired by the server in response to the remote diagnosis request of the vehicle to be diagnosed.
  • the second receiving module 212 is configured to receive the remote control instruction issued by the server according to the vehicle state data of the vehicle to be diagnosed.
  • the server includes an offline server and a cloud server;
  • the first receiving module 211 is also used for:
  • the offline server After the offline server conducts electrical inspection on the vehicle to be diagnosed, based on the electrical inspection result, the offline server sends the remote diagnosis request to the cloud server;
  • the server includes: an after-sales service server and a cloud server;
  • the second receiving module 212 is also used for:
  • the after-sales service server is used to diagnose the vehicle to be diagnosed based on the vehicle state data of the vehicle to be diagnosed The vehicle is diagnosed.
  • the present disclosure also provides an electronic device, a readable storage medium, a computer program product, and a computer program.
  • an electronic device including: at least one processor; and a memory connected in communication with the at least one processor; wherein, the memory stores information that can be used by the at least one processor Executable instructions, the instructions are executed by the at least one processor, so that the at least one processor can execute the remote diagnosis method described in any one of the foregoing embodiments.
  • FIG. 6 shows a schematic block diagram of an electronic device 300 that can be used to implement embodiments of the present disclosure.
  • Electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers.
  • Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices.
  • the components shown herein, their connections and relationships, and their functions, are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein.
  • the electronic device 300 includes a computing unit 301, which can be loaded into a RAM (Random Access Memory, random access) according to a computer program stored in a ROM (Read-Only Memory, read-only memory) 302 or from a storage unit 308. / access memory) 303 computer programs to perform various appropriate actions and processing. In the RAM 303, various programs and data necessary for the operation of the electronic device 300 can also be stored.
  • the computing unit 301, ROM 302, and RAM 303 are connected to each other through a bus 304.
  • An I/O (Input/Output, input/output) interface 305 is also connected to the bus 304 .
  • the I/O interface 305 Multiple components in the electronic device 300 are connected to the I/O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a magnetic disk, an optical disk etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, and the like.
  • the communication unit 309 allows the electronic device 300 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.
  • the computing unit 301 may be various general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of computing unit 301 include but are not limited to CPU (Central Processing Unit, central processing unit), GPU (Graphic Processing Units, graphics processing unit), various dedicated AI (Artificial Intelligence, artificial intelligence) computing chips, various operating The computing unit of the machine learning model algorithm, DSP (Digital Signal Processor, digital signal processor), and any appropriate processor, controller, microcontroller, etc.
  • the calculation unit 301 executes various methods and processes described above, such as a remote diagnosis method.
  • the remote diagnostic method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 308 .
  • part or all of the computer program may be loaded and/or installed on the device 300 via the ROM 302 and/or the communication unit 309.
  • a computer program When a computer program is loaded into RAM 303 and executed by computing unit 301, one or more steps of the methods described above may be performed.
  • the computing unit 301 may be configured in any other appropriate way (for example, by means of firmware) to execute the aforementioned remote diagnosis method.
  • programmable processor can be special-purpose or general-purpose programmable processor, can receive data and instruction from storage system, at least one input device, and at least one output device, and transmit data and instruction to this storage system, this at least one input device, and this at least one output device an output device.
  • Program codes for implementing the methods of the embodiments of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special purpose computer, or other programmable data processing devices, so that the program codes, when executed by the processor or controller, make the functions/functions specified in the flow diagrams and/or block diagrams Action is implemented.
  • the program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
  • a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to make the computer execute the remote diagnosis method described in any one of the foregoing embodiments.
  • a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device.
  • a machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium.
  • a machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing.
  • a more specific embodiment of a machine-readable storage medium would include one or more wire-based electrical connections, a portable computer disk, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory, Erasable Programmable Read-Only Memory) Or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory, portable compact disc read-only memory), optical storage device, magnetic storage device, or any suitable combination of the above.
  • the systems and techniques described herein can be implemented on a computer having a display device (e.g., a CRT (Cathode-Ray Tube) or LCD ( Liquid Crystal Display (LCD) monitor); and a keyboard and pointing device (such as a mouse or trackball) through which a user can provide input to a computer.
  • a display device e.g., a CRT (Cathode-Ray Tube) or LCD ( Liquid Crystal Display (LCD) monitor
  • a keyboard and pointing device such as a mouse or trackball
  • Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and can be in any form (including Acoustic input, speech input or, tactile input) to receive input from the user.
  • the systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., as a a user computer having a graphical user interface or web browser through which a user can interact with embodiments of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system.
  • the components of the system can be interconnected by any form or medium of digital data communication, eg, a communication network.
  • the embodiment of communication network includes: LAN (Local Area Network, local area network), WAN (Wide Area Network, wide area network), Internet and blockchain network.
  • a computer system may include clients and servers.
  • Clients and servers are generally remote from each other and typically interact through a communication network.
  • the relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other.
  • the server can be a cloud server, also known as cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the problem of traditional physical host and VPS service ("Virtual Private Server", or "VPS”) Among them, there are defects such as difficult management and weak business scalability.
  • the server can also be a server of a distributed system, or a server combined with a blockchain.
  • artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), including both hardware-level technology and software-level technology.
  • Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, and machine learning/depth Learning, big data processing technology, knowledge map technology and other major directions.
  • a computer program product including a computer program, when the computer program is executed by a processor, the remote diagnosis method as described in any one of the foregoing embodiments is implemented.
  • a computer program is also provided, the computer program includes computer program code, and when the computer program code is run on a computer, the computer is made to execute the remote diagnosis method described in any one of the foregoing embodiments.
  • steps may be reordered, added or deleted using the various forms of flow shown above.
  • each step described in the present disclosure may be executed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution disclosed in the present disclosure can be achieved, no limitation is imposed herein.

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Abstract

一种远程诊断方法，包括：接收服务器发送的远程控制指令，远程控制指令与诊断类别对应，用于指示待诊断车辆执行远程控制指令对应的目标测试脚本，基于远程控制指令执行目标测试脚本，将目标测试脚本的执行结果上报至服务器。

Description

远程诊断方法及装置、电子设备和存储介质
相关申请的交叉引用
本申请要求在2021年12月31日在中国提交的中国专利申请号202111660578.6的优先权，其全部内容通过引用并入本文。
技术领域
本公开涉及车辆技术领域，具体涉及一种远程诊断方法及装置、电子设备、存储介质、计算机程序产品和计算机程序。
背景技术
传统的汽车售后诊断仪是基于诊断电脑为核心，汽车售后诊断仪的售后诊断引擎在售后诊断设备电脑上，车辆本身是维修对象。车辆维修时，需要传统诊断仪与维修车辆在同一现场，并通过车载诊断接口(On Board Diagnostics，OBD)线束将售后诊断仪与车辆连接，实现车辆维修。由于传统的售后诊断仪维修场景需要待维修车辆到原始设备生产商(Original Equipment Manufacturer，OEM)指定的维修场地，并使用诊断仪维修，导致该应用场景下存在客户车辆维修等待时间长，用户售后体验不佳的问题。
发明内容
本公开的实施例提供了一种远程诊断方法及装置、电子设备、存储介质、计算机程序产品和计算机程序。
根据本公开实施例的一方面，提供了一种远程诊断方法，所述远程诊断方法应用于车辆控制器，其中，包括：
接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本；
基于所述远程控制指令执行所述目标测试脚本；
将所述目标测试脚本的执行结果上报至所述服务器。
在一些实施例中，基于所述远程控制指令执行所述目标测试脚本包括：
对所述目标测试脚本进行解析，确定所述诊断类别指向的诊断设备，确定对应的测试脚本执行序列，所述测试脚本执行序列包含测试步骤需要执行的操作，所述诊断设备是车辆中包含的设备；
调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备，以使所述诊断设备按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。
在一些实施例中，调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备包括：
通过车辆控制器的A核对所述测试脚本执行序列进行协议转化；
将协议转换后的测试脚本执行序列发送给M核控制器；
通过M核控制器将协议转换后的所述测试脚本执行序列向所述诊断设备发送。
在一些实施例中，所述将所述目标测试脚本的执行结果上报至所述服务器包括：
调用诊断数据库，并基于所述诊断数据库对执行每个测试步骤产生的信号变量进行解析，所述诊断数据库中记录有执行测试步骤的所有信号变量分别与诊断故障之间的对应关系；
将解析确定的所述诊断故障上报至所述服务器。
在一些实施例中，接收服务器发送的远程控制指令包括：
接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令；
或，
接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令。
在一些实施例中，所述服务器包括下线服务器及云端服务器；
所述接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令是：在所述下线服务器对所述待诊断车辆进行电检后，基于所述下线服务器根据电检结果向所述云端服务器发送所述远程诊断请求；
接收所述云端服务器发送的所述远程控制指令。
在一些实施例中，所述服务器包括：售后服务器及云端服务器；
所述接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令包括：接收所述售后服务器调用所述云端服务器的预设接口，所下发的所述远程控制指令，所述售后服务器用于根据所述待诊断车辆的车辆数据基于预设条件对所述待诊断车辆进行诊断。
根据本公开实施例的另一方面，提供了一种远程诊断装置，所述装置应用于车辆控制器，包括：
接收单元，用于接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本；
执行单元，用于基于所述远程控制指令执行所述目标测试脚本；
上报单元，用于将所述目标测试脚本的执行结果上报至所述服务器。
在一些实施例中，所述执行单元包括：
解析模块，用于对所述目标测试脚本进行解析；
确定模块，用于确定所述诊断类别指向的诊断设备，确定对应的测试脚本执行序列，所述测试脚本执行序列包含测试步骤需要执行的操作，所述诊断设备是车辆中包含的设备；
调用模块，用于调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备，以使所述诊断设备按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。
在一些实施例中，所述调用模块还用于：
通过车辆控制器的A核对所述测试脚本执行序列进行协议转化；
将协议转换后的测试脚本执行序列发送给M核控制器；
通过M核控制器将协议转换后的所述测试脚本执行序列向所述诊断设备发送。
在一些实施例中，所述上报单元包括：
调用模块，用于调用诊断数据库；
解析模块，用于基于所述诊断数据库对执行每个测试步骤产生的信号变量进行解析，所述诊断数据库中记录有执行测试步骤的所有信号变量分别与诊断故障之间的对应关系；
上报模块，用于将解析确定的所述诊断故障上报至所述服务器。
在一些实施例中，所述接收单元包括：
第一接收模块，用于接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令；
第二接收模块，用于接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令。
在一些实施例中，所述服务器包括下线服务器及云端服务器；
所述第一接收模块，还用于：
所述下线服务器对所述待诊断车辆进行电检后，基于所述下线服务器根据电检结果向所述云端服务器发送所述远程诊断请求；
接收所述云端服务器发送的所述远程控制指令。
在一些实施例中，所述服务器包括：售后服务器及云端服务器；
所述第二接收模块，还用于：
向所述服务器发送远程诊断请求，
接收所述售后服务器调用所述云端服务器的预设接口，所下发的所述远程控制指令，所述售后服务器用于根据所述待诊断车辆的车辆状态数据基于预设条件对所述待诊断车辆进行诊断。
根据本公开实施例的另一方面，提供了一种电子设备，包括：
至少一个处理器；以及
与所述至少一个处理器通信连接的存储器；其中，
所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行前述一方面任一实施例所述的方法。
根据本公开实施例的另一方面，提供了一种存储有计算机指令的非瞬时计算机可读存储介质，其中，所述计算机指令用于使所述计算机执行前述一方面任一实施例所述的远程诊断方法。
根据本公开实施例的另一方面，提供了一种计算机程序产品，包括计算机程序，所述计算机程序在被处理器执行时实现如前述一方面任一实施例所述的远程诊断方法。
根据本公开实施例的另一方面，提供了一种计算机程序，包括计算机程序代码，当所述计算机程序代码在计算机上运行时，以使得计算机执行前述一方面任一实施例所述的远程诊断方法。
本公开提供的远程诊断方法及装置及电子设备、存储介质、计算机程序产品和计算机程序，接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本，基于所述远程控制指令执行所述目标测试脚本，将所述目标测试脚本的执行结果上报至所述服务器，与相关技术相比，通过远程控制执行车端目标诊断脚本的引入，能够减少车辆故障检查定位的时间，进而提高维修效率。
应当理解，本部分所描述的内容并非旨在标识本公开的实施例的关键或重要特征，也不用于限制本公开的范围。本公开的其它特征将通过以下的说明书而变得容易理解。
附图说明
附图用于更好地理解本方案，不构成对本公开的限定。其中：
图1为本公开实施例所提供的一种远程诊断方法的流程示意图；
图2为本公开实施例提供的一种预设诊断引擎与预设接口的示意图；
图3为本公开实施例提供的一种远程诊断系统的结构示意图；
图4为本公开实施例提供的另一种远程诊断装置的结构示意图；
图5为本公开实施例提供的一种远程诊断装置的结构示意图；
图6为本公开实施例提供的电子设备300的示意性框图。
具体实施方式
以下结合附图对本公开的示范性实施例做出说明，其中包括本公开实施例的各种细节以助于理解，应当将它们认为仅仅是示范性的。因此，本领域普通技术人员应当认识到， 可以对这里描述的实施例做出各种改变和修改，而不会背离本公开的范围和精神。同样，为了清楚和简明，以下的描述中省略了对公知功能和结构的描述。
下面参考附图描述本公开实施例的远程诊断方法及装置、电子设备、存储介质、计算机程序产品和计算机程序。
图1为本公开实施例所提供的一种远程诊断方法的流程示意图。
如图1所示，该方法包含步骤101-步骤103。
步骤101，接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本。
服务器发送远程控制指令的时机可以是在待诊断车辆发送请求信息之后，也可以是服务器主动向待诊断车辆发送的远程控制指令，例如配置定期对待诊断车辆进行全车或者局部进行诊断时，均会触发远程控制指令的发送，该远程控制指令用于指示待诊断车辆执行目标测试脚本。
所述目标测试脚本为测试脚本中的一种或者至少一种，该测试脚本在服务器端生成，并下发至待诊断车辆，或者，待诊断车辆请求下载测试脚本，将接收到的测试脚本存储于本地脚本数据库中，在接收到远程控制指令后，从本地脚本数据库中。
所述测试脚本是对一个诊断测试序列执行过程的脚本化描述(即测试脚本为测试脚本执行序列)，在实际应用中，采用的是lua脚本语言，需要说明的是，该种说明方式并非意在限定脚本语言的描述仅能为lua，任意语言均可对测试脚本进行脚本化描述。为了便于远程诊断，可通过诊断类别划分不同的测试脚本(Identity document，ID)，例如诊断类别为全车诊断，其对应的测试脚本ID为测试脚本1，诊断类别为车灯诊断，其对应的测试脚本ID为测试脚本2，诊断类别为钥匙匹配诊断，其对应的测试脚本ID为测试脚本3等等。
远程诊断的触发通常来自诊断业务功能需求，该诊断业务功能需求通常以docx文档格式输出，由下线电检服务器或售后诊断业务服务器发出，例如，诊断业务功能需求为请求下线电检服务器电检某工位进行钥匙匹配的任务，对应的测试脚本为钥匙匹配测试脚本。诊断业务功能需求为请求售后诊断业务服务器对一台车进行全车故障码的读取，对应的测试脚本为全车故障码测试脚本，通常以xlsm格式文件输出。
步骤102、基于所述远程控制指令执行所述目标测试脚本。
所述远程控制指令中通常会包含有诊断类别，在待诊断车辆接收到远程控制指令后，解析得到诊断类别，并根据该诊断类别对应的脚本ID从本地脚本数据库中查找诊断类别对应的目标测试脚本。
确定出目标测试脚本后，基于预设诊断引擎Diag Agent对所述测试脚本进行解析，得到所述测试脚本的测试脚本执行序列，执行该目标测试脚本，由于目标测试脚本为使用lua 脚本语言描述，因此对应的预设诊断引擎Diag Agent能够运行lua脚本即可实现目标测试脚本。
步骤103、将所述目标测试脚本的执行结果上报至所述服务器。
实际应用中，所述诊断结果包含测试脚本的执行过程信息、测试脚本的执行过程数据记录文件信息以及测试脚本的执行结果信息中的至少一种。预设诊断引擎Diag Agent在测试脚本执行序列执行过程中应能保存按照同一时间戳同步记录与本次测试序列执行有关的诊断收发总线报文，并根据测试序列定义的上报配置文件存储需求实现上报配置文件存储及上报。
本公开实施例提供的远程诊断方法，接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本，基于所述远程控制指令执行所述目标测试脚本，将所述目标测试脚本的执行结果上报至所述服务器，与相关技术相比，通过目标诊断脚本的引入，能够减少车辆故障检查定位的时间，进而提高维修效率。
作为对上述实施例的细化，在步骤102执行基于所述远程控制指令执行所述目标测试脚本时包括：基于预设诊断引擎Diag Agent对所述目标测试脚本进行解析，确定所述诊断类别指向的诊断设备，确定对应的测试脚本执行序列，所述测试脚本执行序列包含测试步骤需要执行的操作，所述诊断设备是车辆中包含的设备；调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备，以使所述诊断设备按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。
目标测试脚本在服务器测生成，生成过程中以建立诊断类别与诊断设备之间的对应关系，例如，诊断类别为车灯检测，其对应的诊断设备为车辆的车灯，在执行过程中，调用车灯对应的预设接口，并将测试脚本执行序列传输至所述车灯，并按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。在执行测试脚本执行序列过程中，执行一个测绘步骤，会向预设诊断引擎Diag Agent反馈一下执行结果，以便预设诊断引擎Diag Agent进行诊断。上述示例是为了便于理解给出的举例说明，本公开实施例对诊断类别、诊断设备以及测试步骤需要执行的操作信息不进行限定，在服务端可根据不同的需求进行灵活修改或更新。
为了便于理解，如图2所示，图2为本公开实施例提供的一种预设诊断引擎与诊断设备对应的预设接口的示意图，N大于2。
在实际应用中，由于A核预设诊断引擎Diag Agent内的测试脚本执行序列无法直接被诊断设备识别，因此，在调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备时，通过车辆控制器的A核对所述测试脚本执行序列进行协议转化，将 协议转换后的测试脚本执行序列发送给M核控制器，通过M核控制器将协议转换后的所述测试脚本执行序列向所述诊断设备发送。所述的A核控制器与M核控制器其实质均为控制器，区别在于A核控制器与M核控制的硬件不同，执行软件不同，A核中主要用于支持设诊断引擎Diag Agent的运行，M核中主要用于辅助整车通信。本公开实施例对A核控制器与M核控制的功能划分不进行具体限定。
在一些实施例中，将所述目标测试脚本的执行结果上报至所述服务器包括：调用诊断数据库，并基于所述诊断数据库对执行每个测试步骤产生的信号变量进行解析，所述诊断数据库中记录有执行测试步骤的所有信号变量分别与诊断故障之间的对应关系；将解析确定的所述诊断故障上报至所述服务器。
目标测试脚本包含诊断变量及总线变量相关的数值计算，逻辑，决定和循环等相关操作。诊断引擎应能够解析测试序列脚本并实现运算。预设诊断引擎Diag Agent在执行目标测试脚本执行过程中，能够调用预设通信接口获取诊断数据库，该诊断数据库能够实现测试脚本的所有诊断，其诊断依据在于测试脚本执行过程中的信号变量，预设诊断引擎DiagAgent在执行目标测试脚本时监测每个信号变量的变化，即执行完目标测试脚本中的其中一个步骤后，确认该步骤中的信号变量是否变化，在执行目标测试脚本之前，任一信号会存在一个默认值，在执行目标测试脚本后该信号变量的默认信号值可能会变化，也可能不变，但其最终的执行结果肯定是固定的定值，若该信号变量的执行结果不为定值，则可判定该信号出现故障。基于诊断数据库可以得到信号变量对应的诊断故障结果。
为了便于理解，在一些实施例中，假设目标测试脚本为检测车灯，在预设诊断引擎执行目标测试脚本时，调用并控制车灯的操作，如触发执行车灯左转向时，车灯启动的是右转，触发前：信号变量：left(左车灯)-0，right(右车灯)-0，触发后：left-0，right-1，若该车灯没有故障的话，在触发后信号变量应该为left-1，right-0，在执行完该控制车灯的步骤后，监测到信号变量发生变化，基于所述诊断数据库对所述信号变量进行诊断，得到所述车灯存在故障的诊断结果。需要说明的是，上述示例仅为了便于理解给出的简要举例，并不代表具体的执行流程，本公开实施例对目标测试脚本及诊断数据库的具体内容不进行限定。
方式一：
在待诊断车辆接收服务器发送的远程控制指令时，接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令。
方式二：
在待诊断车辆接收服务器发送的远程控制指令时，接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令。
本公开实施例所述的远程诊断方法，不仅提供了远程诊断外，该远程诊断可以时待诊断车辆出现故障时的远程诊断，也可以时待诊断车辆未出现故障时的预测报警诊断，并对车辆故障进行主动预测报警。实现上述两种方式，采用的是如图3所示的远程诊断系统，服务器与待诊断车辆，上述服务器又包括：下线服务器(Manufacturing Execution System，MES)、云端服务器(Business Service Platform for Diagnostics，BSP-D)以及售后服务器(Aftersales Technical Service，ATS)；
对应于上述方式一，所述接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令包括：在所述下线服务器MES对所述待诊断车辆进行电检后，基于所述下线服务器MES根据电检结果向所述云端服务器发送所述远程诊断请求；接收所述云端服务器发送的所述远程控制指令。上述下线服务器MES能够在待诊断车辆下线环节的不同工位实现基于车端和云端的自动化或半自动化电检，基于下线服务器MES对待诊断车辆的电检后，可确定出该待诊断车辆的诊断类别，下线服务器MES基于该诊断类别向云端服务器BSP-D发送所述远程诊断请求，云端服务器BSP-D对该远程诊断请求进行响应，并下发远程控制指令至待诊断车辆，以使所述待诊断车辆通过上述实施例所述的诊断方法进行诊断。上述实现过程可用于待诊断车辆已存在故障的应用场景中，相较于相关技术中通过线束售后诊断仪与车辆进行连接并诊断的方式，本公开实施例通过登录下线服务器MES的方式即可完成诊断，该种方式操作过程简单易操作，进而能够节省检测时间。
对应于上述方式二，所述接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令包括：接收所述售后服务器调用所述云端服务器的预设接口，所下发的所述远程控制指令，所述售后服务器用于根据所述待诊断车辆的车辆数据基于预设条件对所述待诊断车辆进行诊断。实际应用中，登录售后服务器ATS后，由售后服务器ATS调用云端服务器BSP-D接口，使得云端服务器BSP-D与待诊断车辆建立无线通信，进而实现售后服务器ATS与车端的间接连接关系。可在售后服务器中根据待诊断车辆的车辆数据设定对待诊断车辆的基于预设条件诊断，所述基于预设条件诊断可以根据车辆行驶的里程数进行设定，也可以根据车辆的驾驶时长进行设定，还可以基于某零部件的使用时长进行设定等等。该种方式可应用于待诊断车辆已存在故障的应用场景中，还可以应用于在车辆不存在故障的前提下对车辆故障主动预警。
综上，本公开实施例与相关技术相比，通过远程控制车端目标诊断脚本的执行，能够减少车辆故障检查定位的时间，进而提高维修效率，此外，基于待诊断车辆为核心的预设诊断引擎Diag Agent，服务器可以实时更新车端预设诊断引擎Diag Agent的测试脚本诊断序列，实现不同车型平台，不同控制器的诊断功能升级。另外，还可以基于待诊断车辆的车辆数据，对待诊断车辆的主动诊断，当检车出问题后提醒用户维护，或者在需要更换零 部件时，可以提前备好更换的零部件，进一步减少了维护等待时间。
图4为本公开实施例提供的一种远程诊断装置的结构示意图，所述装置应用于车辆控制器，如图4所示，包括接收单元21、执行单元22和上报单元23。
所述接收单元21用于接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本。
所述执行单元22用于基于所述远程控制指令执行所述目标测试脚本。
所述上报单元23用于将所述目标测试脚本的执行结果上报至所述服务器。
本公开实施例提供的远程诊断装置，接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本，基于所述远程控制指令执行所述目标测试脚本，将所述目标测试脚本的执行结果上报至所述服务器，与相关技术相比，通过目标诊断脚本的引入，能够减少车辆故障检查定位的时间，进而提高维修效率。
在一些实施例中，在本实施例一种可能的实现方式中，如图5所示，所述执行单元22包括解析模块221、确定模块222和调用模块223。
所述解析模块221用于对所述目标测试脚本进行解析。
所述确定模块222用于确定所述诊断类别指向的诊断设备，确定对应的测试脚本执行序列，所述测试脚本执行序列包含测试步骤需要执行的操作，所述诊断设备是车辆中包含的设备。
所述调用模块223用于调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备，以使所述诊断设备按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。
在本实施例一种可能的实现方式中，所述调用模块223还用于：
通过车辆控制器的A核对所述测试脚本执行序列进行协议转化；
将协议转换后的测试脚本执行序列发送给M核控制器；
通过M核控制器将协议转换后的所述测试脚本执行序列向所述诊断设备发送。
在本实施例一种可能的实现方式中，如图5所示，所述上报单元23包括调用模块231、解析模块232和上报模块233。
所述调用模块231用于调用诊断数据库；
所述解析模块232用于基于所述诊断数据库对执行每个测试步骤产生的信号变量进行解析，所述诊断数据库中记录有执行测试步骤的所有信号变量分别与诊断故障之间的对应关系。
所述上报模块233用于将解析确定的所述诊断故障上报至所述服务器。
在本实施例一种可能的实现方式中，如图5所示，所述接收单元21包括第一接收模块211和第二接收模块212。
所述第一接收模块211用于接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令。
所述第二接收模块212用于接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令。
在本实施例一种可能的实现方式中，如图5所示，所述服务器包括下线服务器及云端服务器；
所述第一接收模块211，还用于：
在所述下线服务器对所述待诊断车辆进行电检后，基于所述下线服务器根据电检结果向所述云端服务器发送所述远程诊断请求；
接收所述云端服务器发送的所述远程控制指令。
在本实施例一种可能的实现方式中，如图5所示，所述服务器包括：售后服务器及云端服务器；
所述第二接收模块212，还用于：
向所述服务器发送远程诊断请求，
接收所述售后服务器调用所述云端服务器的预设接口，所下发的所述远程控制指令，所述售后服务器用于根据所述待诊断车辆的车辆状态数据基于预设条件对所述待诊断车辆进行诊断。
需要说明的是，前述对方法实施例的解释说明，也适用于本实施例的装置，原理相同，本实施例中不再限定。
根据本公开的实施例，本公开还提供了一种电子设备、一种可读存储介质、一种计算机程序产品和一种计算机程序。
根据本公开的实施例，还提供了一种电子设备，包括：至少一个处理器；以及与所述至少一个处理器通信连接的存储器；其中，所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行前述任一实施例所述的远程诊断方法。
图6示出了可以用来实施本公开的实施例的电子设备300的示意性框图。电子设备旨在表示各种形式的数字计算机，诸如，膝上型计算机、台式计算机、工作台、个人数字助理、服务器、刀片式服务器、大型计算机、和其它适合的计算机。电子设备还可以表示各种形式的移动装置，诸如，个人数字处理、蜂窝电话、智能电话、可穿戴设备和其它类似的计算装置。本文所示的部件、它们的连接和关系、以及它们的功能仅仅作为示例，并且 不意在限制本文中描述的和/或者要求的本公开的实现。
如图6所示，电子设备300包括计算单元301，其可以根据存储在ROM(Read-Only Memory，只读存储器)302中的计算机程序或者从存储单元308加载到RAM(Random Access Memory，随机访问/存取存储器)303中的计算机程序，来执行各种适当的动作和处理。在RAM 303中，还可存储电子设备300操作所需的各种程序和数据。计算单元301、ROM 302以及RAM 303通过总线304彼此相连。I/O(Input/Output，输入/输出)接口305也连接至总线304。
电子设备300中的多个部件连接至I/O接口305，包括：输入单元306，例如键盘、鼠标等；输出单元307，例如各种类型的显示器、扬声器等；存储单元308，例如磁盘、光盘等；以及通信单元309，例如网卡、调制解调器、无线通信收发机等。通信单元309允许电子设备300通过诸如因特网的计算机网络和/或各种电信网络与其他设备交换信息/数据。
计算单元301可以是各种具有处理和计算能力的通用和/或专用处理组件。计算单元301的一些示例包括但不限于CPU(Central Processing Unit，中央处理单元)、GPU(Graphic Processing Units，图形处理单元)、各种专用的AI(Artificial Intelligence，人工智能)计算芯片、各种运行机器学习模型算法的计算单元、DSP(Digital Signal Processor，数字信号处理器)、以及任何适当的处理器、控制器、微控制器等。计算单元301执行上文所描述的各个方法和处理，例如远程诊断方法。例如，在一些实施例中，远程诊断方法可被实现为计算机软件程序，其被有形地包含于机器可读介质，例如存储单元308。在一些实施例中，计算机程序的部分或者全部可以经由ROM 302和/或通信单元309而被载入和/或安装到设备300上。当计算机程序加载到RAM 303并由计算单元301执行时，可以执行上文描述的方法的一个或多个步骤。备选地，在其他实施例中，计算单元301可以通过其他任何适当的方式(例如，借助于固件)而被配置为执行前述远程诊断方法。
本文中以上描述的系统和技术的各种实施方式可以在数字电子电路系统、集成电路系统、FPGA(Field Programmable Gate Array，现场可编程门阵列)、ASIC(Application-Specific Integrated Circuit，专用集成电路)、ASSP(Application Specific Standard Product，专用标准产品)、SOC(System On Chip，芯片上系统的系统)、CPLD(Complex Programmable Logic Device，复杂可编程逻辑设备)、计算机硬件、固件、软件、和/或它们的组合中实现。这些各种实施方式可以包括：实施在一个或者多个计算机程序中，该一个或者多个计算机程序可在包括至少一个可编程处理器的可编程系统上执行和/或解释，该可编程处理器可以是专用或者通用可编程处理器，可以从存储系统、至少一个输入装置、和至少一个输出装置接收数据和指令，并且将数据和指令传输至该存储系统、该至少一个输入装置、和该至少一个输出装置。
用于实施本公开实施例的方法的程序代码可以采用一个或多个编程语言的任何组合来编写。这些程序代码可以提供给通用计算机、专用计算机或其他可编程数据处理装置的处理器或控制器，使得程序代码当由处理器或控制器执行时使流程图和/或框图中所规定的功能/操作被实施。程序代码可以完全在机器上执行、部分地在机器上执行，作为独立软件包部分地在机器上执行且部分地在远程机器上执行或完全在远程机器或服务器上执行。
根据本公开的实施例，还提供了一种存储有计算机指令的非瞬时计算机可读存储介质，其中，所述计算机指令用于使所述计算机执行前述任一实施例所述的远程诊断方法。
在本公开的上下文中，机器可读介质可以是有形的介质，其可以包含或存储以供指令执行系统、装置或设备使用或与指令执行系统、装置或设备结合地使用的程序。机器可读介质可以是机器可读信号介质或机器可读储存介质。机器可读介质可以包括但不限于电子的、磁性的、光学的、电磁的、红外的、或半导体系统、装置或设备，或者上述内容的任何合适组合。机器可读存储介质的更具体实施例会包括基于一个或多个线的电气连接、便携式计算机盘、硬盘、RAM、ROM、EPROM(Electrically Programmable Read-Only-Memory，可擦除可编程只读存储器)或快闪存储器、光纤、CD-ROM(Compact Disc Read-Only Memory，便捷式紧凑盘只读存储器)、光学储存设备、磁储存设备、或上述内容的任何合适组合。
为了提供与用户的交互，可以在计算机上实施此处描述的系统和技术，该计算机具有：用于向用户显示信息的显示装置(例如，CRT(Cathode-Ray Tube，阴极射线管)或者LCD(Liquid Crystal Display，液晶显示器)监视器)；以及键盘和指向装置(例如，鼠标或者轨迹球)，用户可以通过该键盘和该指向装置来将输入提供给计算机。其它种类的装置还可以用于提供与用户的交互；例如，提供给用户的反馈可以是任何形式的传感反馈(例如，视觉反馈、听觉反馈、或者触觉反馈)；并且可以用任何形式(包括声输入、语音输入或者、触觉输入)来接收来自用户的输入。
可以将此处描述的系统和技术实施在包括后台部件的计算系统(例如，作为数据服务器)、或者包括中间件部件的计算系统(例如，应用服务器)、或者包括前端部件的计算系统(例如，具有图形用户界面或者网络浏览器的用户计算机，用户可以通过该图形用户界面或者该网络浏览器来与此处描述的系统和技术的实施方式交互)、或者包括这种后台部件、中间件部件、或者前端部件的任何组合的计算系统中。可以通过任何形式或者介质的数字数据通信(例如，通信网络)来将系统的部件相互连接。通信网络的实施例包括：LAN(Local Area Network，局域网)、WAN(Wide Area Network，广域网)、互联网和区块链网络。
计算机系统可以包括客户端和服务器。客户端和服务器一般远离彼此并且通常通过通 信网络进行交互。通过在相应的计算机上运行并且彼此具有客户端-服务器关系的计算机程序来产生客户端和服务器的关系。服务器可以是云服务器，又称为云计算服务器或云主机，是云计算服务体系中的一项主机产品，以解决了传统物理主机与VPS服务("Virtual Private Server"，或简称"VPS")中，存在的管理难度大，业务扩展性弱的缺陷。服务器也可以为分布式系统的服务器，或者是结合了区块链的服务器。
其中，需要说明的是，人工智能是研究使计算机来模拟人的某些思维过程和智能行为(如学习、推理、思考、规划等)的学科，既有硬件层面的技术也有软件层面的技术。人工智能硬件技术一般包括如传感器、专用人工智能芯片、云计算、分布式存储、大数据处理等技术；人工智能软件技术主要包括计算机视觉技术、语音识别技术、自然语言处理技术以及机器学习/深度学习、大数据处理技术、知识图谱技术等几大方向。
根据本公开的实施例，还提供了一种计算机程序产品，包括计算机程序，所述计算机程序在被处理器执行时实现如前述任一实施例所述的远程诊断方法。
根据本公开的实施例，还提供了一种计算机程序，该计算机程序包括计算机程序代码，当该计算机程序代码在计算机上运行时，使得计算机执行前述任一实施例所述的远程诊断方法。
需要说明的是，前述对远程诊断方法实施例的解释说明也适用于上述实施例的电子设备、计算机可读存储介质、计算机程序产品计算机程序，此处不再赘述。
应该理解，可以使用上面所示的各种形式的流程，重新排序、增加或删除步骤。例如，本发公开中记载的各步骤可以并行地执行也可以顺序地执行也可以不同的次序执行，只要能够实现本公开公开的技术方案所期望的结果，本文在此不进行限制。
上述具体实施方式，并不构成对本公开保护范围的限制。本领域技术人员应该明白的是，根据设计要求和其他因素，可以进行各种修改、组合、子组合和替代。任何在本公开的精神和原则之内所作的修改、等同替换和改进等，均应包含在本公开保护范围之内。
本公开所有实施例均可以单独被执行，也可以与其他实施例相结合被执行，均视为本公开要求的保护范围。

Claims (18)

  1. 一种远程诊断方法，其特征在于，所述远程诊断方法应用于车辆控制器，包括：
    接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本；
    基于所述远程控制指令执行所述目标测试脚本；
    将所述目标测试脚本的执行结果上报至所述服务器。
  2. 根据权利要求1所述的远程诊断方法，其特征在于，基于所述远程控制指令执行所述目标测试脚本包括：
    对所述目标测试脚本进行解析，确定所述诊断类别指向的诊断设备，确定对应的测试脚本执行序列，所述测试脚本执行序列包含测试步骤需要执行的操作，所述诊断设备是车辆中包含的设备；
    调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备，以使所述诊断设备按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。
  3. 根据权利要求2所述的远程诊断方法，其特征在于，所述调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备包括：
    通过车辆控制器的A核对所述测试脚本执行序列进行协议转化；
    将协议转换后的测试脚本执行序列发送给M核控制器；
    通过M核控制器将协议转换后的所述测试脚本执行序列向所述诊断设备发送。
  4. 根据权利要求1至3中任一项所述的远程诊断方法，其特征在于，所述将所述目标测试脚本的执行结果上报至所述服务器包括：
    调用诊断数据库，并基于所述诊断数据库对执行每个测试步骤产生的信号变量进行解析，所述诊断数据库中记录有执行测试步骤的所有信号变量分别与诊断故障之间的对应关系；
    将解析确定的所述诊断故障上报至所述服务器。
  5. 根据权利要求1至4中任一项所述的远程诊断方法，其特征在于，所述接收服务器发送的远程控制指令包括：
    接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令；
    或，
    接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令。
  6. 根据权利要求5所述的远程诊断方法，其特征在于，所述服务器包括下线服务器及云端服务器；
    所述接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令包括：所述下线服务器对所述待诊断车辆进行电检后，基于所述下线服务器根据电检结果向所述云端服务器发送所述远程诊断请求；
    接收所述云端服务器发送的所述远程控制指令。
  7. 根据权利要求5所述的远程诊断方法，其特征在于，所述服务器包括：售后服务器及云端服务器；
    所述接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令包括：
    接收所述售后服务器调用所述云端服务器的预设接口，所下发的所述远程控制指令，所述售后服务器用于根据所述待诊断车辆的车辆数据基于预设条件对所述待诊断车辆进行诊断。
  8. 一种远程诊断装置，其特征在于，所述装置应用于车辆控制器，包括：
    接收单元，用于接收服务器发送的远程控制指令，所述远程诊断指令与所述诊断类别对应，用于指示所述待诊断车辆执行所述远程诊断指令对应的目标测试脚本；
    执行单元，用于基于所述远程控制指令执行所述目标测试脚本；
    上报单元，用于将所述目标测试脚本的执行结果上报至所述服务器。
  9. 根据权利要求8所述的远程诊断装置，其特征在于，所述执行单元包括：
    解析模块，用于对所述目标测试脚本进行解析；
    确定模块，用于确定所述诊断类别指向的诊断设备，确定对应的测试脚本执行序列，所述测试脚本执行序列包含测试步骤需要执行的操作，所述诊断设备是车辆中包含的设备；
    调用模块，用于调用所述诊断设备对应的预设接口，将所述测试脚本执行序列传输至所述诊断设备，以使所述诊断设备按照所述测试步骤需要执行的操作执行所述测试脚本执行序列。
  10. 根据权利要求9所述的远程诊断装置，其特征在于，所述调用模块还用于：
    通过车辆控制器的A核对所述测试脚本执行序列进行协议转化；
    将协议转换后的测试脚本执行序列发送给M核控制器；
    通过M核控制器将协议转换后的所述测试脚本执行序列向所述诊断设备发送。
  11. 根据权利要求8至10中任一项所述的远程诊断装置，其特征在于，所述上报单元包括：
    调用模块，用于调用诊断数据库；
    解析模块，用于基于所述诊断数据库对执行每个测试步骤产生的信号变量进行解析，所述诊断数据库中记录有执行测试步骤的所有信号变量分别与诊断故障之间的对应关系；
    上报模块，用于将解析确定的所述诊断故障上报至所述服务器。
  12. 根据权利要求8至11中任一项所述的远程诊断装置，所述接收单元包括：
    第一接收模块，用于接收服务器响应于所述待诊断车辆的远程诊断请求，获取所述远程控制指令；
    第二接收模块，用于接收所述服务器根据所述待诊断车辆的车辆状态数据下发的所述远程控制指令。
  13. 根据权利要求12中任一项所述的远程诊断装置，所述服务器包括下线服务器及云端服务器；
    所述第一接收模块，还用于：
    所述下线服务器对所述待诊断车辆进行电检后，基于所述下线服务器根据电检结果向所述云端服务器发送所述远程诊断请求；
    接收所述云端服务器发送的所述远程控制指令。
  14. 根据权利要求12中任一项所述的远程诊断装置，所述服务器包括：售后服务器及云端服务器；
    所述第二接收模块，还用于：
    向所述服务器发送远程诊断请求，
    接收所述售后服务器调用所述云端服务器的预设接口，所下发的所述远程控制指令，所述售后服务器用于根据所述待诊断车辆的车辆状态数据基于预设条件对所述待诊断车辆进行诊断。
  15. 一种电子设备，包括：
    至少一个处理器；以及
    与所述至少一个处理器通信连接的存储器；其中，
    所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行权利要求1-7中任一项所述的远程诊断方法。
  16. 一种存储有计算机指令的非瞬时计算机可读存储介质，其中，所述计算机指令用于使所述计算机执行根据权利要求1-7中任一项所述的远程诊断方法。
  17. 一种计算机程序产品，包括计算机程序，所述计算机程序在被处理器执行时实现根据权利要求1-7中任一项所述的远程诊断方法。
  18. 一种计算机程序，其特征在于，所述计算机程序包括计算机程序代码，当所述计算机程序代码在计算机上运行时，以使得计算机执行如权利要求1-7中任一项所述的远程诊断方法。
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116662213A (zh) * 2023-07-31 2023-08-29 浙江春风动力股份有限公司 一种摩托车的下线电检系统
CN116910495A (zh) * 2023-09-13 2023-10-20 江西五十铃汽车有限公司 一种汽车下线检测的方法、系统、可读存储介质及汽车
CN117724444A (zh) * 2023-12-13 2024-03-19 镁佳(北京)科技有限公司 一种车辆诊断方法、装置、计算机设备及存储介质

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115469629A (zh) * 2021-12-31 2022-12-13 北京罗克维尔斯科技有限公司 远程诊断方法、装置、系统、电子设备和存储介质
CN115437338A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115437340A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN117032162A (zh) * 2023-08-04 2023-11-10 广州汽车集团股份有限公司 车辆的远程诊断方法、装置、设备及存储介质

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111026096A (zh) * 2019-12-30 2020-04-17 华人运通(江苏)技术有限公司 车辆诊断方法、装置、系统、设备及计算机可读存储介质
US20200226852A1 (en) * 2017-09-25 2020-07-16 Autel Intelligent Technology Corp., Ltd. Remote automobile diagnostic method and apparatus, mobile terminal,electronic device and server
CN112874530A (zh) * 2021-02-18 2021-06-01 中国第一汽车股份有限公司 一种车辆诊断方法、装置、电子设备及存储介质
CN113050598A (zh) * 2021-03-15 2021-06-29 中国第一汽车股份有限公司 一种远程诊断平台、数据获取方法、设备及存储介质
CN115437340A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115437339A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115437338A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115469629A (zh) * 2021-12-31 2022-12-13 北京罗克维尔斯科技有限公司 远程诊断方法、装置、系统、电子设备和存储介质

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200226852A1 (en) * 2017-09-25 2020-07-16 Autel Intelligent Technology Corp., Ltd. Remote automobile diagnostic method and apparatus, mobile terminal,electronic device and server
CN111026096A (zh) * 2019-12-30 2020-04-17 华人运通(江苏)技术有限公司 车辆诊断方法、装置、系统、设备及计算机可读存储介质
CN112874530A (zh) * 2021-02-18 2021-06-01 中国第一汽车股份有限公司 一种车辆诊断方法、装置、电子设备及存储介质
CN113050598A (zh) * 2021-03-15 2021-06-29 中国第一汽车股份有限公司 一种远程诊断平台、数据获取方法、设备及存储介质
CN115437340A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115437339A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115437338A (zh) * 2021-12-31 2022-12-06 北京罗克维尔斯科技有限公司 远程诊断方法及装置、电子设备和存储介质
CN115469629A (zh) * 2021-12-31 2022-12-13 北京罗克维尔斯科技有限公司 远程诊断方法、装置、系统、电子设备和存储介质

Cited By (5)

* Cited by examiner, † Cited by third party
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CN116662213A (zh) * 2023-07-31 2023-08-29 浙江春风动力股份有限公司 一种摩托车的下线电检系统
CN116662213B (zh) * 2023-07-31 2023-10-24 浙江春风动力股份有限公司 一种摩托车的下线电检系统
CN116910495A (zh) * 2023-09-13 2023-10-20 江西五十铃汽车有限公司 一种汽车下线检测的方法、系统、可读存储介质及汽车
CN116910495B (zh) * 2023-09-13 2024-01-26 江西五十铃汽车有限公司 一种汽车下线检测的方法、系统、可读存储介质及汽车
CN117724444A (zh) * 2023-12-13 2024-03-19 镁佳(北京)科技有限公司 一种车辆诊断方法、装置、计算机设备及存储介质

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