WO2023125590A1

WO2023125590A1 - Remote diagnosis method and apparatus, and electronic device and storage medium

Info

Publication number: WO2023125590A1
Application number: PCT/CN2022/142555
Authority: WO
Inventors: 杨挺
Original assignee: 北京罗克维尔斯科技有限公司
Priority date: 2021-12-31
Filing date: 2022-12-27
Publication date: 2023-07-06
Also published as: CN115437340A

Abstract

Disclosed are a remote diagnosis method and apparatus, and an electronic device, a storage medium, a computer program product and a computer program. The remote diagnosis method comprises: receiving a remote diagnosis request, wherein the remote diagnosis request includes a vehicle to be diagnosed, and a diagnosis category; according to the remote diagnosis request, sending a remote diagnosis instruction to said vehicle, wherein the remote diagnosis instruction is used for instructing said vehicle to execute a corresponding test; and receiving an execution result sent by said vehicle.

Description

Remote diagnosis method and device, electronic equipment and storage medium

Cross References to Related Applications

This application claims priority to Chinese Patent Application No. 202111663866.7 filed in China on December 31, 2021, the entire contents of which are incorporated herein by reference.

technical field

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.

Background technique

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. During vehicle 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. Since the traditional after-sales diagnostic instrument repair scenario requires the vehicle to be repaired to the repair site designated by the original equipment manufacturer (Original Equipment Manufacturer, OEM), and use the diagnostic instrument for maintenance, there is a long waiting time for customer vehicle maintenance in this application scenario, and the user after-sales Problem with poor experience.

Contents of the invention

Embodiments of the present disclosure provide a remote diagnosis method and device, an electronic device, a storage medium, a computer program product, and a computer program.

In the first aspect, the embodiments of the present disclosure provide a remote diagnosis method, the remote diagnosis method is applied to the server side, including:

receiving a remote diagnosis request, the remote diagnosis request including the vehicle to be diagnosed and the diagnosis category;

Sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the remote diagnosis instruction being used to instruct the vehicle to be diagnosed to perform a corresponding test; and

An execution result sent by the vehicle to be diagnosed is received.

In some embodiments, before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the remote diagnosis method further includes:

Generate the execution sequence of the test script;

Dividing the diagnostic category of the execution sequence of the test script;

generating said test script according to said diagnostic category and a corresponding execution sequence of said test script; and

The test script is stored in a test script library, so that the test script can be remotely synchronized to the vehicle to be diagnosed.

In some embodiments, a diagnostic database is included in the server, and the diagnostic database includes a correspondence between signal variables generated by each test step and diagnostic faults; and

Receiving the execution result sent by the vehicle to be diagnosed includes:

The diagnostic fault of the execution result is confirmed based on the corresponding relationship between the signal variable generated by each test step in the diagnostic database and the diagnostic fault.

Configuring the condition information for the vehicle to be diagnosed to perform a test, and sending the condition information to the vehicle to be diagnosed, the condition information includes state information items that need to be detected in the vehicle to be diagnosed;

Sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.

In some embodiments, the sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information includes:

Reconfiguring the condition information based on receiving a response that the vehicle to be diagnosed does not meet the condition information, so that the vehicle to be diagnosed meets the condition information;

Sending the remote diagnosis instruction to the vehicle to be diagnosed based on receiving a response that the vehicle to be diagnosed satisfies the condition information.

In some embodiments, receiving a remote diagnostic request includes:

receiving the remote diagnosis request sent by the offline server according to the electric inspection result of the vehicle to be diagnosed; or

A remote diagnosis request triggered by an after-sales service server calling a preset interface is received, and the after-sales service is used to diagnose the vehicle to be diagnosed based on preset conditions according to vehicle data of the vehicle to be diagnosed.

In a second aspect, an embodiment of the present disclosure provides a remote diagnostic device, which is applied to the server side, including:

The first receiving unit is configured to receive a remote diagnosis request, and the remote diagnosis request includes a vehicle to be diagnosed and a diagnosis category;

A first sending unit, configured to send a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, and the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to perform a corresponding test; and

The second receiving unit is configured to receive the execution result sent by the vehicle to be diagnosed.

In some embodiments, the remote diagnostic device also includes:

A first generation unit, configured to generate an execution sequence of a test script before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request;

a division unit, configured to divide the diagnostic category to which the execution sequence of the test script belongs;

a second generating unit, configured to generate the test script according to the diagnostic category and the corresponding execution sequence of the test script; and

The storage unit is used to store the test script in a test script library, so as to remotely synchronize the test script to the vehicle to be diagnosed.

The second receiving unit is further configured to confirm the diagnostic fault of the execution result based on the correspondence between the signal variable generated by each test step in the diagnostic database and the diagnostic fault.

In some embodiments, the remote diagnostic device also includes:

A configuration unit, configured to configure the condition information for the vehicle to be diagnosed to perform a test before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the condition information includes the need to detect the vehicle to be diagnosed diagnosing items of status information in the vehicle; and

The third sending unit is configured to send a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.

In some embodiments, the third sending unit includes:

A first sending module, configured to reconfigure the condition information based on receiving a response that the vehicle to be diagnosed does not meet the condition information, and then resend the remote diagnosis instruction, so that the vehicle to be diagnosed meets the condition information conditional information; and

The second sending module is configured to send the remote diagnosis instruction to the vehicle to be diagnosed based on receiving a response that the vehicle to be diagnosed satisfies the condition information.

In some embodiments, the first receiving unit includes:

The first receiving module is configured to receive the remote diagnosis request sent by the off-line server according to the electric inspection result of the vehicle to be diagnosed; and

The second receiving module is configured to receive a remote diagnosis request triggered by an after-sales service server by calling a preset interface, and the after-sales service is used to diagnose the vehicle to be diagnosed based on preset conditions according to vehicle data of the vehicle to be diagnosed.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including:

at least one processor; and

a memory communicatively coupled to the at least one processor, wherein,

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 execute the method described in any embodiment of the first aspect above. remote diagnosis method.

In a fourth aspect, embodiments of the present disclosure provide a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the method described in any embodiment of the foregoing first aspect. remote diagnosis method.

In a fifth aspect, an embodiment of the present disclosure provides a computer program product, including a computer program, and when the computer program is executed by a processor, the remote diagnosis method as described in any embodiment of the foregoing first aspect is implemented.

In a sixth aspect, embodiments of the present disclosure provide a computer program, including computer program code, when the computer program code runs on a computer, the computer executes the remote diagnosis method.

The remote diagnosis method and device, electronic equipment, storage medium, computer program product, and computer program provided by the embodiments of the present disclosure receive a remote diagnosis request, and the remote diagnosis request includes a vehicle to be diagnosed and a diagnosis category; according to the remote diagnosis request , sending a remote diagnosis instruction to the vehicle to be diagnosed, where the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to execute a corresponding test; and receiving an execution result sent by the vehicle to be diagnosed. Compared with related technologies, remote control of vehicles to perform corresponding tests through remote diagnosis instructions can reduce the time for vehicle fault inspection and location, thereby improving maintenance efficiency.

It should be understood that what is described in this section is not intended to identify key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will be readily understood through the following description.

Description of drawings

The accompanying drawings are used to better understand the present solution, and do not constitute a limitation to the present disclosure.

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 remote diagnosis system provided by an embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of a remote diagnostic device 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 block diagram of an example electronic device 300 provided by an embodiment of the present disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The remote diagnosis method and device, electronic equipment, storage medium, computer program product, and computer program of the embodiments of the present disclosure are described below with reference to the accompanying drawings.

Fig. 1 is a schematic flowchart of a remote diagnosis method provided by an embodiment of the present disclosure.

As shown in FIG. 1 , the remote diagnosis method is applied on the server side, and the remote diagnosis method includes steps 101-103.

Step 101: Receive a remote diagnosis request, the remote diagnosis request includes the vehicle to be diagnosed and the diagnosis category.

In order to facilitate the understanding of the application background of the embodiments of the present disclosure, FIG. 2 shows a schematic diagram of a remote diagnosis system provided by the embodiments of the present disclosure. As shown in Figure 2, the executive subject of this embodiment is the cloud server (Business Service Platform for Diagnostics, BSP-D), which provides various preset interfaces for the offline server (Manufacturing Execution System, MES) in the cloud server BSP-D ) and Aftersales Technical Service (ATS) calls.

Since the off-line server MES and the after-sales service server ATS cannot establish a direct relationship with the vehicle to be diagnosed, a variety of preset interfaces are provided for the off-line server MES and the after-sales service server ATS to call to realize the remote diagnosis of the vehicle to be diagnosed. In the specific application process, the cloud server BSP-D receives the remote diagnosis request sent by the off-line server MES and the after-sales service server ATS based on the preset interface. The remote diagnosis request includes the vehicle to be diagnosed and the diagnosis category. In the cloud server BSP-D, cloud management of test scripts, distribution of test scripts, trigger execution of test scripts, and storage and display of test results can be realized.

Step 102: According to the remote diagnosis request, send a remote diagnosis instruction to the vehicle to be diagnosed, where the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to perform a corresponding test.

This step realizes the trigger execution function of the cloud server BSP-D test script.

During the implementation process, it is necessary to divide different test scripts (Identity document, ID) by diagnostic categories. 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, etc. The purpose is to carry the test script ID to be executed when sending a remote diagnosis command to the vehicle to be diagnosed, to instruct the vehicle to be diagnosed to execute the test script corresponding to the script ID.

Step 103: Receive the execution result sent by the vehicle to be diagnosed.

This step realizes the storage and display of the BSP-D test results on the cloud server.

During the execution of the test, the vehicle to be diagnosed should be able to save and record the diagnostic sending and receiving bus messages related to this test synchronously according to the same time stamp, and realize the storage and reporting of the reporting configuration file according to the storage requirements of the reporting configuration file defined by the test sequence, and report configuration The file includes at least one of the execution process information of the test script, the data record file information of the test script execution process, and the execution result information of the test script. To realize cloud management of test results.

In the specific implementation process, the execution result is divided into two scenarios. One scenario is that the execution result is the execution process data of the vehicle to be diagnosed, and does not include the diagnosis process of the execution result. In this scenario, the server needs to be based on the diagnosis The database confirms the diagnostic failure of the execution result; another scenario is that the execution result is that the vehicle to be diagnosed diagnoses the execution result locally according to the diagnosis database, that is, the execution result contains the confirmed diagnostic fault. , the service does not need to re-diagnose the execution result, it only needs to receive and store the execution result.

In the remote diagnosis method provided by the embodiments of the present disclosure, a remote diagnosis request is received, and the remote diagnosis request includes the vehicle to be diagnosed and a diagnosis category; according to the remote diagnosis request, a remote diagnosis instruction is sent to the vehicle to be diagnosed, and the remote The diagnosis instruction is used to instruct the vehicle to be diagnosed to execute a corresponding test; and receive the execution result sent by the vehicle to be diagnosed. Compared with related technologies, remote control of vehicles to perform corresponding tests through remote diagnosis instructions can reduce the time for vehicle fault inspection and location, thereby improving maintenance efficiency.

It can be known from the above embodiments that the cloud server BSP-D can also implement cloud management of test scripts and distribution of test scripts. Before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the method further includes: generating an execution sequence of a test script, classifying the diagnosis category to which the execution sequence of the test script belongs, and according to the diagnosis The category and the corresponding execution sequence of the test script generate the test script, and store the test script in the test script library, so as to remotely synchronize the test script to the vehicle to be diagnosed.

The essence of the generation process of the execution sequence of the test script is a scripted description of the execution process of a diagnostic test sequence. In practical applications, the lua scripting language is used. It should be noted that this description method is not intended to limit the scripting language The description can only be lua, and any language can describe the test script in a scripted manner. After writing a test script execution sequence, divide the diagnostic category of the test script execution sequence, generate the test script according to the diagnostic category and the corresponding execution sequence of the test script, and assign a corresponding script ID to each test script , storing the test script in a test script library, and remotely synchronizing the test script to the vehicle to be diagnosed.

In some embodiments, after the cloud server BSP-D sends the test script library to the vehicle to be diagnosed, the test script in the vehicle to be diagnosed will be updated remotely based on the test script in the test script library, so that First, when the vehicle to be diagnosed executes the test script, all the test scripts of the latest version are executed, instead of re-upgrading the test script during the diagnosis process, which saves the time spent on diagnosis and improves the diagnosis efficiency.

In a specific embodiment, the vehicle to be diagnosed executes the test script as the core to realize remote diagnosis. After the vehicle to be diagnosed executes the test script, the diagnosis of the execution result of the test script is performed on the vehicle end, and the cloud server BSP-D is referred to during the diagnosis process. The diagnostic database generated by the terminal, the process of generating the diagnostic database includes: constructing the corresponding relationship between the signal variables generated by each test step and the diagnostic faults, so as to generate a diagnostic database, and sending the diagnostic database to the vehicle in the vehicle to be diagnosed A preset diagnosis engine, so that the preset diagnosis engine can diagnose the execution result of the test script based on the diagnosis database.

In some embodiments, the server can not only generate a diagnostic database, but when the vehicle to be diagnosed does not diagnose the execution process of the test script, the server can use the execution result of the vehicle to be diagnosed based on the execution process data in the vehicle to be diagnosed Perform troubleshooting. The way of diagnosing is the same as the way that the preset diagnosis engine in the vehicle to be diagnosed diagnoses the execution result of the test script based on the diagnosing database, and the embodiments of the present disclosure will not repeat them here.

Test scripts include numerical calculations, logic, decisions and loops related to diagnostic variables and bus variables. The diagnostic engine shall be able to parse test sequence scripts and implement operations. Before executing the target test script, any signal will have a default value. After the target test script is executed, the default signal value of the signal variable may change or may not change, but the final execution result must be a fixed value. , based on the fact that the execution result of the signal variable is not a fixed value, it can be determined that the signal is faulty. Therefore, when constructing the diagnostic database, it is necessary to refer to the corresponding relationship between the signal variables generated by each test step and the diagnostic faults. The vehicle to be diagnosed is based on the preset diagnosis engine Diag Agent. During the execution of the target test script, it can call the preset communication interface to obtain the diagnosis database. The diagnosis database can realize all the diagnosis of the test script. Signal variables, the preset diagnosis engine Diag Agent 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, it confirms whether the signal variable in this step changes, and based on the signal variable The change in determines the corresponding fault.

In order to ensure that the vehicle to be diagnosed can successfully execute the test script, the condition information before the execution sequence of each test script can be set at the cloud server BSP-D end, and the cloud server BSP-D sends the test script to the vehicle to be diagnosed according to the remote diagnosis request. Before the vehicle sends the remote diagnosis command, configure the condition information for the vehicle to be diagnosed to perform the test, and send the condition information to the vehicle to be diagnosed, and the condition information includes the need to detect the The status information item is to reconfigure the condition information based on receiving a response that the vehicle to be diagnosed does not meet the condition information, so that the vehicle to be diagnosed performs a corresponding test. Sending the remote diagnosis instruction to the vehicle to be diagnosed based on receiving a response that the vehicle to be diagnosed satisfies the condition information. For example, the condition information includes state information items that need to be detected in the vehicle to be diagnosed, for example, the vehicle is in maintenance mode, the power mode of the vehicle to be diagnosed is OFF, the gear position is P, the vehicle speed is less than 2km/h, the signal variable The default value of the condition information, etc., the embodiment of the present disclosure does not limit the content contained in the condition information.

Continuing to refer to Figure 2, there are two ways to receive a remote diagnosis request:

Mode 1: Receive the remote diagnosis request sent by the off-line server according to the electric inspection result of the vehicle to be diagnosed; After the automatic or semi-automatic electrical inspection of the vehicle to be diagnosed based on the offline server MES, the diagnostic category of the vehicle to be diagnosed can be determined, and the offline server MES sends the remote server BSP-D to the cloud server BSP-D based on the diagnostic category. Diagnosis request, the above implementation process can be used in the application scenario where the vehicle to be diagnosed has a fault. Compared with the method of connecting and diagnosing the vehicle through the wiring harness after-sales diagnostic instrument in the related art, the embodiment of the present disclosure can log in to the offline server MES. Diagnosis can be completed in this way, and the operation process of this method is simple and easy to operate, thereby saving detection time.

Mode 2: receiving a remote diagnosis request triggered by an after-sales service server by calling a preset interface, and the after-sales service is used to diagnose the vehicle to be diagnosed based on preset conditions according to the vehicle data of the vehicle to be diagnosed. In practical applications, after logging in to the after-sales service server ATS, 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.

To sum up, the server can update the test script diagnosis sequence of Diag Agent, the preset diagnosis engine of the car in real time, so as to realize the upgrade of the diagnosis function of different vehicle platforms and different controllers. In addition, based on the vehicle data of the vehicle to be diagnosed, 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. 3 is a schematic structural diagram of a remote diagnosis device provided by an embodiment of the present disclosure, and the remote diagnosis device is applied to a server side. As shown in FIG. 3 , the remote diagnosis device includes: a first receiving unit 21 , a first sending unit 22 and a second receiving unit 23 .

The first receiving unit 21 is used for receiving a remote diagnosis request, and the remote diagnosis request includes the vehicle to be diagnosed and the diagnosis category.

The first sending unit 22 is configured to send a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, and the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to perform a corresponding test.

The second receiving unit 23 is configured to receive the execution result sent by the vehicle to be diagnosed.

The remote diagnosis device provided by the embodiments of the present disclosure receives a remote diagnosis request, and the remote diagnosis request includes a vehicle to be diagnosed and a diagnosis category; according to the remote diagnosis request, a remote diagnosis instruction is sent to the vehicle to be diagnosed, and the remote The diagnosis instruction is used to instruct the vehicle to be diagnosed to execute a corresponding test; and receive the execution result sent by the vehicle to be diagnosed. Compared with related technologies, remote control of vehicles to perform corresponding tests through remote diagnosis instructions can reduce the time for vehicle fault inspection and location, thereby improving maintenance efficiency.

Further, in some embodiments, as shown in FIG. 4 , the remote diagnosis device further includes: a first generating unit 24 , a dividing unit 25 , a second generating unit 26 and a storage unit 27 .

The first generating unit 24 is configured to generate an execution sequence of a test script before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request.

The dividing unit 25 is used for dividing the diagnosis category to which the execution sequence of the test script belongs.

The second generation unit 26 is configured to generate the test script according to the diagnosis category and the corresponding execution sequence of the test script.

The storage unit 27 is used to store the test script in a test script library, so as to remotely synchronize the test script to the vehicle to be diagnosed.

Further, in some embodiments, the server includes a diagnostic database, and the diagnostic database includes the correspondence between signal variables generated by each test step and diagnostic faults; and the second receiving unit 23 is also used for The diagnostic fault of the execution result is confirmed based on the corresponding relationship between the signal variable generated by each test step in the diagnostic database and the diagnostic fault.

Further, in some embodiments, as shown in FIG. 4 , the remote diagnosis device further includes: a configuration unit 28 and a third sending unit 29 .

The configuration unit 28 is configured to configure the condition information for the vehicle to be diagnosed to perform a test before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, and the condition information includes State information items in the vehicle to be diagnosed.

The third sending unit 29 sends a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.

The third sending unit 29 includes: a first sending module 291 and a second sending module 292 .

The first sending module 291 is configured to re-send the remote diagnosis instruction after reconfiguring the condition information based on receiving a response that the vehicle to be diagnosed does not meet the condition information, so that the vehicle to be diagnosed The condition information is met.

The second sending module 292 is configured to send the remote diagnosis instruction to the vehicle to be diagnosed based on receiving a response that the vehicle to be diagnosed meets the condition information.

Further, in some embodiments, as shown in FIG. 4 , the first 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 diagnosis request sent by the offline server according to the electric inspection result of the vehicle to be diagnosed.

The second receiving module 212 is configured to receive a remote diagnosis request triggered by an after-sales service server by invoking a preset interface, and the after-sales service is used to conduct a diagnosis on the vehicle to be diagnosed based on the vehicle data of the vehicle to be diagnosed based on preset conditions. diagnosis.

It should be noted that the foregoing explanations of the embodiments of the remote diagnosis method are also applicable to the remote diagnosis device described in the embodiments, and will not be repeated here.

Embodiments of the present disclosure also provide an electronic device, a readable storage medium, a computer program product, and a computer program.

An embodiment of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, 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.

Embodiments of the present disclosure provide 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 of the preceding embodiments.

An embodiment of the present disclosure provides 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.

An embodiment of the present disclosure provides a computer program, including computer program code, 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.

FIG. 5 shows a schematic block diagram of an example electronic device 300 that may 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.

As shown in Figure 5, the device 300 includes a computing unit 301, which can be loaded into a RAM (Random Access Memory, Random Access/ accesses the computer program in the memory) 303 to execute various appropriate actions and processes. In the RAM 303, various programs and data necessary for the operation of the 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 .

Multiple components in the 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 device 300 to exchange information/data with other devices over 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 601 executes various methods and processes described above, such as a remote diagnosis method. For example, in some embodiments, the remote diagnostic method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed on the device 600 via the ROM 602 and/or the communication unit 609. When a computer program is loaded into RAM 603 and executed by computing unit 601, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured in any other appropriate way (for example, by means of firmware) to execute the aforementioned remote diagnosis method.

Various implementations of the systems and technologies described above in this paper can be implemented in digital electronic circuit systems, integrated circuit systems, FPGA (Field Programmable Gate Array, Field Programmable Gate Array), ASIC (Application-Specific Integrated Circuit, application-specific integrated circuit) , ASSP (Application Specific Standard Product, dedicated standard product), SOC (System On Chip, system on a chip), CPLD (Complex Programmable Logic Device, complex programmable logic device), computer hardware, firmware, software, and/or realized in combination of them. These various embodiments may include being implemented in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the 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 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.

In the context of the present disclosure, 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. More specific examples of machine-readable storage media would include electrical connections based on one or more wires, portable computer disks, hard disks, 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 disk read-only memory), optical storage device, magnetic storage device, or any suitable combination of the above.

To provide interaction with the user, 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. 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. Examples of communication networks include: LAN (Local Area Network, local area network), WAN (Wide Area Network, wide area network), the Internet, and blockchain networks.

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.

Among them, it should be noted that 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.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, 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.

The specific implementation manners described above do not limit the protection scope of the present disclosure. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present disclosure shall be included within the protection scope of the present disclosure.

All the embodiments of the present disclosure can be implemented independently or in combination with other embodiments, which are all regarded as the scope of protection required by the present disclosure.

Claims

A remote diagnosis method, characterized in that the remote diagnosis method is applied to the server side, comprising:

receiving a remote diagnosis request, the remote diagnosis request including the vehicle to be diagnosed and the diagnosis category;

Sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the remote diagnosis instruction being used to instruct the vehicle to be diagnosed to perform a corresponding test; and

An execution result sent by the vehicle to be diagnosed is received.
The remote diagnosis method according to claim 1, wherein, before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the remote diagnosis method further comprises:

Generate the execution sequence of the test script;

Dividing the diagnostic category of the execution sequence of the test script;

generating said test script according to said diagnostic category and a corresponding execution sequence of said test script; and

The test script is remotely synchronized to the vehicle to be diagnosed.
The remote diagnosis method according to claim 2, wherein the server includes a diagnostic database, and the diagnostic database includes a correspondence between signal variables generated by each test step and diagnostic faults; and

Receiving the execution result sent by the vehicle to be diagnosed includes:

The diagnostic fault of the execution result is confirmed based on the corresponding relationship between the signal variable generated by each test step in the diagnostic database and the diagnostic fault.
The remote diagnosis method according to claim 2, characterized in that, before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the remote diagnosis method further comprises:

Configuring condition information for the vehicle to be diagnosed to perform a test, and sending the condition information to the vehicle to be diagnosed, the condition information includes state information items that need to be detected in the vehicle to be diagnosed; and

Sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.
The remote diagnosis method according to claim 4, wherein the sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information comprises:

Reconfiguring the condition information based on receiving a response that the vehicle to be diagnosed does not meet the condition information, so that the vehicle to be diagnosed meets the condition information;

Sending the remote diagnosis instruction to the vehicle to be diagnosed based on receiving a response that the vehicle to be diagnosed satisfies the condition information.
The remote diagnosis method according to any one of claims 1-5, wherein the receiving the remote diagnosis request comprises:

receiving the remote diagnosis request sent by the offline server according to the electric inspection result of the vehicle to be diagnosed; or

receiving the remote diagnosis request triggered by calling the preset interface by the after-sales service server, and the after-sales service is used to diagnose the vehicle to be diagnosed based on preset conditions according to the vehicle data of the vehicle to be diagnosed.
A remote diagnostic device, characterized in that the remote diagnostic device is applied to the server side, comprising:

The first receiving unit is configured to receive a remote diagnosis request, and the remote diagnosis request includes a vehicle to be diagnosed and a diagnosis category;

A first sending unit, configured to send a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, and the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to perform a corresponding test; and

The second receiving unit is configured to receive the execution result sent by the vehicle to be diagnosed.
The remote diagnostic device according to claim 7, wherein the remote diagnostic device further comprises:

A first generation unit, configured to generate an execution sequence of a test script before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request;

a division unit, configured to divide the diagnostic category to which the execution sequence of the test script belongs;

a second generating unit, configured to generate the test script according to the diagnostic category and the corresponding execution sequence of the test script; and

The storage unit is used to store the test script in a test script library, so as to remotely synchronize the test script to the vehicle to be diagnosed.
The remote diagnostic device according to claim 8, wherein the server includes a diagnostic database, and the diagnostic database includes a correspondence between signal variables generated by each test step and diagnostic faults; and

The second receiving unit is further configured to confirm the diagnostic fault of the execution result based on the correspondence between the signal variable generated by each test step in the diagnostic database and the diagnostic fault.
The remote diagnostic device according to claim 8, wherein the remote diagnostic device further comprises:

A configuration unit, configured to configure the condition information for the vehicle to be diagnosed to perform a test before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the condition information includes the need to detect the vehicle to be diagnosed diagnosing items of status information in the vehicle; and

The third sending unit is configured to send a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.
The remote diagnosis device according to claim 10, wherein the third sending unit comprises:

A first sending module, configured to reconfigure the condition information based on receiving a response that the vehicle to be diagnosed does not meet the condition information, and then resend the remote diagnosis instruction, so that the vehicle to be diagnosed meets the condition information conditional information; and

The second sending module is configured to send the remote diagnosis instruction to the vehicle to be diagnosed based on receiving a response that the vehicle to be diagnosed satisfies the condition information.
The remote diagnosis device according to any one of claims 7-11, wherein the first receiving unit comprises:

The first receiving module is used to receive the remote diagnosis request sent by the off-line server according to the electric inspection result of the vehicle to be diagnosed; and

The second receiving module is configured to receive a remote diagnosis request triggered by an after-sales service server by calling a preset interface, and the after-sales service is used to diagnose the vehicle to be diagnosed based on preset conditions according to vehicle data of the vehicle to be diagnosed.
An electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor, wherein

The memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor performs the method described in any one of claims 1-6. remote diagnosis method.
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 according to any one of claims 1-6.
A computer program product comprising a computer program which, when executed by a processor, implements the remote diagnosis method according to any one of claims 1-6.
A computer program, including computer program code, when the computer program code is run on a computer, it causes the computer to execute the remote diagnosis method according to any one of claims 1-6.