CN115437340A - Remote diagnosis method and device, electronic equipment and storage medium - Google Patents
Remote diagnosis method and device, electronic equipment and storage medium Download PDFInfo
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- 238000004171 remote diagnosis Methods 0.000 title claims abstract description 126
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- 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
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
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Abstract
The utility model discloses a remote diagnosis method and device, electronic equipment and storage medium, relates to vehicle technical field, and the main technical scheme includes: the method comprises the steps of receiving a remote diagnosis request, wherein the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis type, sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, wherein the remote diagnosis instruction is used for indicating the vehicle to be diagnosed to execute a corresponding test, and receiving an execution result sent by the vehicle to be diagnosed. Compared with the prior art, the vehicle is remotely controlled to execute corresponding tests through the remote diagnosis instruction, so that the time for checking and positioning the vehicle fault can be reduced, and the maintenance efficiency is improved.
Description
Technical Field
The present disclosure relates to the field of vehicle technologies, and in particular, to a remote diagnosis method and apparatus, an electronic device, and a storage medium.
Background
The traditional automobile after-sale diagnostic instrument is based on a diagnostic computer as a core, an after-sale diagnostic engine of the automobile after-sale diagnostic instrument is arranged on an after-sale diagnostic equipment computer, and a vehicle is a maintenance object. When the vehicle is maintained, the traditional diagnostic instrument and a maintenance vehicle are required to be On the same site, and the after-sale diagnostic instrument is connected with the vehicle through an On Board Diagnostics (OBD) wire harness to realize vehicle maintenance. Because a conventional after-sales diagnostic apparatus maintenance scene needs a vehicle to be maintained to a maintenance site specified by an Original Equipment Manufacturer (OEM) and the vehicle is maintained by using the diagnostic apparatus, the problem that the waiting time for vehicle maintenance of a customer is long and the after-sales experience of the user is poor exists in the application scene.
Disclosure of Invention
The disclosure provides a remote diagnosis method and apparatus, an electronic device, and a storage medium.
According to an aspect of the present disclosure, there is provided a remote diagnosis method applied to a server side, including:
receiving a remote diagnosis request, wherein the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis type;
according to the remote diagnosis request, sending a remote diagnosis instruction to the vehicle to be diagnosed, wherein the remote diagnosis instruction is used for indicating the vehicle to be diagnosed to execute a corresponding test;
and receiving an execution result sent by the vehicle to be diagnosed.
Optionally, 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 the test script;
dividing the diagnostic category to which the execution sequence of the test script belongs;
generating the test script according to the diagnosis category and the corresponding execution sequence of the test script;
and storing the test script in a test script library so as to remotely synchronize the test script to the vehicle to be diagnosed.
Optionally, the server includes a diagnosis database, where the diagnosis database includes a correspondence between the signal variable generated in each test step and the diagnosis fault;
the step of receiving the execution result sent by the vehicle to be diagnosed comprises the following steps:
and confirming the diagnosis fault of the execution result based on the corresponding relation between the signal variable generated by each test step in the diagnosis database and the diagnosis fault.
Optionally, before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the method further includes:
configuring condition information for executing a test on the vehicle to be diagnosed, and sending the condition information to the vehicle to be diagnosed, wherein the condition information comprises a state information item in the vehicle to be diagnosed, which needs to be detected;
and sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.
Optionally, the sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information includes:
if a response that the vehicle to be diagnosed does not meet the condition information is received, reconfiguring the condition information so that the vehicle to be diagnosed meets the condition information;
and if a response that the vehicle to be diagnosed meets the condition information is received, sending the remote diagnosis instruction to the vehicle to be diagnosed.
Optionally, receiving the remote diagnosis 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;
and receiving a remote diagnosis request triggered by an after-sales server by calling a preset interface, wherein the after-sales server is used for diagnosing the vehicle to be diagnosed based on a preset condition according to the vehicle data of the vehicle to be diagnosed.
According to another aspect of the present disclosure, there is provided a remote diagnosis apparatus applied to a server side, including:
the remote diagnosis system comprises a first receiving unit, a second receiving unit and a diagnosis unit, wherein the first receiving unit is used for receiving a remote diagnosis request which comprises a vehicle to be diagnosed and a diagnosis type;
the first sending unit is used for sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, wherein the remote diagnosis instruction is used for instructing the vehicle to be diagnosed to execute a corresponding test;
and the second receiving unit is used for receiving the execution result sent by the vehicle to be diagnosed.
Optionally, the apparatus further comprises:
the first generating unit is used for generating 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 is used for dividing the diagnosis category to which the execution sequence of the test script belongs;
the second generation unit is used for generating the test script according to the diagnosis type and the execution sequence of the corresponding test script;
and the storage unit is used for storing the test script in a test script library so as to remotely synchronize the test script to the vehicle to be diagnosed.
Optionally, the server includes a diagnosis database, where the diagnosis database includes a correspondence between the signal variable generated in each test step and the diagnosis fault;
the second receiving unit is further configured to confirm the diagnostic failure of the execution result based on a correspondence between the signal variable generated by each test step in the diagnostic database and the diagnostic failure.
Optionally, the apparatus further comprises:
a configuration unit, configured to configure condition information for performing a test on the vehicle to be diagnosed before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, where the condition information includes a status information item in the vehicle to be diagnosed, which needs to be detected;
and a third sending unit which sends a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.
Optionally, the third sending unit includes:
the first sending module is used for reconfiguring the condition information and then sending the remote diagnosis instruction again if a response that the vehicle to be diagnosed does not meet the condition information is received, so that the vehicle to be diagnosed meets the condition information;
and the second sending module is used for sending the remote diagnosis instruction to the vehicle to be diagnosed if a response that the vehicle to be diagnosed meets the condition information is received.
Optionally, the first receiving unit includes:
the first receiving module is used for receiving 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 is used for receiving a remote diagnosis request triggered by calling a preset interface by an after-sales server, and the after-sales server is used for diagnosing the vehicle to be diagnosed based on preset conditions according to the vehicle data of the vehicle to be diagnosed.
According to another aspect of the present disclosure, there is provided an electronic device including:
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 to enable the at least one processor to perform the method of the preceding aspect.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the preceding aspect.
According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method according to the preceding aspect.
The remote diagnosis method, the remote diagnosis device, the electronic equipment and the storage medium receive a remote diagnosis request, wherein the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis type, and send a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, and the remote diagnosis instruction is used for instructing the vehicle to be diagnosed to execute a corresponding test and receiving an execution result sent by the vehicle to be diagnosed. Compared with the prior art, the vehicle is remotely controlled to execute corresponding tests through the remote diagnosis instruction, so that the time for checking and positioning the vehicle fault can be reduced, and the maintenance efficiency is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic flow chart of a remote diagnosis method provided in an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a remote diagnostic system provided by an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a remote diagnosis apparatus provided in an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of another remote diagnosis device provided in the embodiment of the present disclosure;
fig. 5 is a schematic block diagram of an example electronic device 300 provided by embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of embodiments of the present disclosure are included to assist understanding, and which are to be considered as merely exemplary. 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.
A remote diagnosis method, apparatus, electronic device, and storage medium 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 according to an embodiment of the disclosure.
The method shown in fig. 1 is applied to the server side, and comprises the following steps:
To facilitate understanding of the application background described in the embodiment of the present application, as shown in fig. 2, fig. 2 is a schematic diagram of a remote diagnosis System provided in the embodiment of the present application, an Execution subject of the embodiment is a cloud server (BSP-D), and various preset interfaces are provided in the cloud server BSP-D for offline server (MES) and after-sales server (ATS) call.
Because the offline server MES and the after-sales server ATS can not establish direct association with the vehicle to be diagnosed, various preset interfaces are provided for the offline server MES and the after-sales server ATS to call so as to realize remote diagnosis of the vehicle to be diagnosed. In a specific application process, the cloud server BSP-D receives a remote diagnosis request sent by the offline server MES and the after-sales server ATS based on a preset interface, wherein the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis type. In the cloud server BSP-D, cloud management of the test script, issuing of the test script, triggering execution of the test script and storage and display of a test result can be realized.
And 102, sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, wherein the remote diagnosis instruction is used for indicating the vehicle to be diagnosed to execute a corresponding test.
The step is realized by the triggering execution function of the BSP-D test script of the cloud server.
In the implementation process, different test scripts (Identity documents, IDs) need to be classified according to diagnosis categories, for example, the diagnosis category is a whole vehicle diagnosis, the corresponding test script ID is a test script 1, the diagnosis category is a vehicle lamp diagnosis, the corresponding test script ID is a test script 2, the diagnosis category is a key matching diagnosis, the corresponding test script ID is a test script 3, and the like.
And 103, receiving an execution result sent by the vehicle to be diagnosed.
The step realizes the storage and display of the test result of the cloud server BSP-D.
The vehicle to be diagnosed can synchronously record the diagnosis transceiving bus messages related to the test according to the same timestamp in the test execution process, and can realize the storage and reporting of the reporting configuration file according to the storage requirement of the reporting configuration file defined by the test sequence, wherein the reporting configuration file comprises at least one of the execution process information of the test script, the execution process data record file information of the test script and the execution result information of the test script. So as to realize the cloud management of the test result.
In a specific implementation process, the execution result is divided into two scenes, wherein one scene is that the execution result is execution process data of the vehicle to be diagnosed and does not contain a diagnosis process of the execution result, and in the scene, the server is required to perform diagnosis fault confirmation on the execution result based on the diagnosis database; in another scenario, 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 includes the determined diagnosis fault, and in this scenario, the service does not need to diagnose the execution result again, but only receives and stores the execution result.
According to the remote diagnosis method provided by the disclosure, a remote diagnosis request is received, the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis type, a remote diagnosis instruction is sent to the vehicle to be diagnosed according to the remote diagnosis request, the remote diagnosis instruction is used for instructing the vehicle to be diagnosed to execute a corresponding test, and an execution result sent by the vehicle to be diagnosed is received. Compared with the prior art, the vehicle is remotely controlled to execute corresponding tests through the remote diagnosis instruction, so that the time for checking and positioning the vehicle fault can be reduced, and the maintenance efficiency is improved.
According to the embodiment, the cloud server BSP-D can also realize cloud management and issuing of the test script. Before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the method further comprises the following steps: generating an execution sequence of a test script, dividing diagnosis categories of the execution sequence of the test script, generating the test script according to the diagnosis categories and the corresponding execution sequence of the test script, and storing the test script in a 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 the scripted description of the execution process of the diagnostic test sequence, in practical application, the lua script language is adopted, and it needs to be explained that the explanation mode is not intended to limit the description of the script language to be lua only, and any language can perform scripted description on the test script. After a test script execution sequence is written, dividing the diagnosis type of the test script execution sequence, generating the test script according to the diagnosis type and the corresponding test script execution sequence, distributing 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.
As a feasible way of the embodiment of the application, after the cloud server BSP-D issues the test script library to the vehicle to be diagnosed, if the test script in the test script library is updated, the test script in the vehicle to be diagnosed is updated remotely, so that when the vehicle to be diagnosed executes the test script, all executed test scripts are the latest version of the test script, instead of updating the test script again in the diagnosis process, thereby saving the consumed time of diagnosis and further improving the diagnosis efficiency.
As a refinement of the above embodiment, in the embodiment of the present application, the vehicle to be diagnosed executes the test script as a core, so as to implement remote diagnosis, after the vehicle to be diagnosed executes the test script, the vehicle end may perform diagnosis on the execution result of the test script, and in the diagnosis process, referring to the diagnosis database generated by the BSP-D terminal of the cloud server, the process of generating the diagnosis database includes: and constructing a corresponding relation between the signal variable generated in each test step and the diagnosis fault to generate a diagnosis database, and sending the diagnosis database to a preset diagnosis engine in the vehicle to be diagnosed so that the preset diagnosis engine diagnoses the execution result of the test script based on the diagnosis database.
As a feasible way of the embodiment of the application, the server not only can generate the diagnosis database, but also can perform fault diagnosis on the execution result of the vehicle to be diagnosed based on the diagnosis database according to the execution process data in the vehicle to be diagnosed when the vehicle to be diagnosed does not diagnose the execution process of the test script. The diagnosis mode is the same as the diagnosis mode of the execution result of the test script by the preset diagnosis engine in the vehicle to be diagnosed based on the diagnosis database, and the embodiment of the present application is not described in detail herein.
The test script includes numerical calculations, logic, decisions, loops, etc. related to the diagnostic variables and bus variables. The diagnostic engine should be able to parse the test sequence script and implement the operation. Before the target test script is executed, a default value exists in any signal, the default signal value of the signal variable may be changed or may not be changed after the target test script is executed, but the final execution result is definitely a fixed value, and if the execution result of the signal variable is not the fixed value, the signal can be judged to be in a fault state. Therefore, when constructing the diagnostic database, the corresponding relationship between the signal variable generated in each test step and the diagnostic fault needs to be referred to. The method comprises the steps that a vehicle to be diagnosed can call a preset communication interface to obtain a diagnosis database in the process of executing a target test script based on a preset diagnosis engine Diag Agent, the diagnosis database can realize all diagnoses of the test script, the diagnosis is based on signal variables in the process of executing the test script, the preset diagnosis engine Diag Agent monitors the change of each signal variable when executing the target test script, namely, after one step in the target test script is executed, whether the signal variable in the step is changed or not is confirmed, and a corresponding fault is determined based on the change of the signal variable.
In order to ensure that a vehicle to be diagnosed can smoothly execute a test script, condition information before execution of each test script execution sequence can be set at a cloud server BSP-D end, the cloud server BSP-D configures the condition information for executing the test on the vehicle to be diagnosed before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, and sends the condition information to the vehicle to be diagnosed, wherein the condition information comprises a state information item in the vehicle to be diagnosed, and if a response that the vehicle to be diagnosed does not meet the condition information is received, the condition information is reconfigured so that the vehicle to be diagnosed executes a corresponding test. And if a response that the vehicle to be diagnosed meets the condition information is received, sending the remote diagnosis instruction to the vehicle to be diagnosed. For example, the condition information includes a status information item that needs to be detected in the vehicle to be diagnosed, for example, the vehicle is in a maintenance mode, the power mode of the vehicle to be diagnosed is OFF, the gear is P, the vehicle speed is less than 2km/h, a default value of a signal variable, and the like.
With continued reference to fig. 2, the remote diagnosis request may be received in two ways:
the first method is as follows: receiving the remote diagnosis request sent by the offline server according to the electric inspection result of the vehicle to be diagnosed; above-mentioned server MES of rolling off the production line can realize the automation or semi-automatization electric inspection based on car end and high in the clouds at the different stations of waiting to diagnose the vehicle link of rolling off the production line, treat the electric inspection back of diagnosing the vehicle based on server MES of rolling off the production line, can confirm out the diagnosis classification of this waiting to diagnose vehicle, server MES of rolling off the production line sends to high in the clouds server BSP-D based on this diagnosis classification remote diagnosis request, above-mentioned realization process can be arranged in waiting to diagnose the application scene that the vehicle has the trouble, compares in the correlation technique and goes on through pencil after-sales diagnostic appearance and vehicle and the mode of diagnosing, and the diagnosis can be accomplished through the mode of logging on server MES of rolling off the production line to this kind of mode operation process is simple easy to operate, and then can save check-up time.
The second method comprises the following steps: and receiving a remote diagnosis request triggered by calling a preset interface by an after-sales server, wherein the after-sales server is used for diagnosing the vehicle to be diagnosed based on preset conditions according to the vehicle data of the vehicle to be diagnosed. In practical application, after the after-sales server ATS is logged in, the after-sales server ATS calls a cloud server BSP-D interface, so that wireless communication is established between the cloud server BSP-D and a vehicle to be diagnosed, and the indirect connection relation between the after-sales server ATS and the vehicle end is further realized. The diagnosis based on the preset condition of the vehicle to be diagnosed can be set in the after-sales server according to the vehicle data of the vehicle to be diagnosed, the diagnosis based on the preset condition can be set according to the mileage of the vehicle, can also be set according to the driving time of the vehicle, can also be set according to the service time of certain parts, and the like. The method can be applied to an application scene that the vehicle to be diagnosed has a fault, and can also be applied to active early warning of the vehicle fault on the premise that the vehicle does not have the fault.
In conclusion, the server can update the test script diagnosis sequence of the preset diagnosis engine Diag Agent at the vehicle end in real time, and the diagnosis function upgrading of different vehicle type platforms and different controllers is realized. In addition, the active diagnosis of the vehicle to be diagnosed can be carried out based on the vehicle data of the vehicle to be diagnosed, a user is reminded of maintenance after a vehicle is checked out of a problem, or the replaced parts can be prepared in advance when the parts need to be replaced, so that the maintenance waiting time is further reduced.
Fig. 3 is a schematic structural diagram of a remote diagnosis apparatus provided in an embodiment of the present disclosure, where the apparatus is applied to a server side, as shown in fig. 3, and includes:
a first receiving unit 21, configured to receive a remote diagnosis request, where the remote diagnosis request includes a vehicle to be diagnosed and a diagnosis category;
a first sending unit 22, configured to send a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, where the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to perform a corresponding test;
and a second receiving unit 23, configured to receive an execution result sent by the vehicle to be diagnosed.
The remote diagnosis device receives a remote diagnosis request, the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis category, and a remote diagnosis instruction is sent to the vehicle to be diagnosed according to the remote diagnosis request and is used for instructing the vehicle to be diagnosed to execute a corresponding test and receiving an execution result sent by the vehicle to be diagnosed. Compared with the prior art, the vehicle is remotely controlled to execute corresponding tests through the remote diagnosis instruction, so that the time for checking and positioning the vehicle fault can be reduced, and the maintenance efficiency is improved.
Further, in a possible implementation manner of this embodiment, as shown in fig. 4, the apparatus further includes:
a first generating unit 24, 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 dividing unit 25, configured to divide a diagnostic category to which an execution sequence of the test script belongs;
a second generating unit 26, configured to generate the test script according to the diagnosis category and an execution sequence of the corresponding test script;
the storage unit 27 is configured 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 a possible implementation manner of this embodiment, the server includes a diagnosis database, where the diagnosis database includes a correspondence between the signal variable generated in each test step and the diagnosis fault;
the second receiving unit 23 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.
Further, in a possible implementation manner of this embodiment, as shown in fig. 4, the apparatus further includes:
a configuration unit 28, configured to configure condition information for performing a test on the vehicle to be diagnosed before sending a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, where the condition information includes a status information item in the vehicle to be diagnosed, which needs to be detected;
and a third transmitting unit 29 that transmits a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.
The third transmitting unit 29 includes:
a first sending module 291, configured to, if a response that the vehicle to be diagnosed does not meet the condition information is received, reconfigure the condition information and then resend the remote diagnosis instruction, so that the vehicle to be diagnosed meets the condition information;
the second sending module 292 is configured to send the remote diagnosis instruction to the vehicle to be diagnosed if a response that the vehicle to be diagnosed meets the condition information is received.
Further, in a possible implementation manner of this embodiment, as shown in fig. 4, the first receiving unit 21 includes:
a first receiving module 211, configured to receive the remote diagnosis request sent by the offline server according to the electrical inspection result of the vehicle to be diagnosed;
a second receiving module 212, configured to receive a remote diagnosis request triggered by an after-sales server by invoking a preset interface, where the after-sales server is configured to diagnose the vehicle to be diagnosed based on a preset condition according to the vehicle data of the vehicle to be diagnosed.
It should be noted that the foregoing explanation of the method embodiment is also applicable to the apparatus of the present embodiment, and the principle is the same, and the present embodiment is not limited thereto.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 5 illustrates a schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the device 300 includes a computing unit 301 that can perform various appropriate actions and processes in accordance with a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 into a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The calculation unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I/O (Input/Output) interface 305 is also connected to the bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, or the like; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Various implementations of the systems and techniques described here above may be realized in digital electronic circuitry, integrated circuitry, FPGAs (Field Programmable Gate arrays), ASICs (Application-Specific Integrated circuits), ASSPs (Application Specific Standard products), SOCs (System On Chip, system On a Chip), CPLDs (Complex Programmable Logic devices), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code 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, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. 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 this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The 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, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a RAM, a ROM, an EPROM (erasable Programmable Read-Only-Memory) or flash Memory, an optical fiber, a CD-ROM (Compact Disc Read-Only-Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a Display device (e.g., a CRT (Cathode Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), internet, and blockchain Network.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.
It should be noted that artificial intelligence is a subject for studying a computer to simulate some human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware and software technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligence software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge map technology and the like.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (10)
1. A remote diagnosis method is applied to a server side and comprises the following steps:
receiving a remote diagnosis request, wherein the remote diagnosis request comprises a vehicle to be diagnosed and a diagnosis type;
according to the remote diagnosis request, sending a remote diagnosis instruction to the vehicle to be diagnosed, wherein the remote diagnosis instruction is used for indicating the vehicle to be diagnosed to execute a corresponding test;
and receiving an execution result sent by the vehicle to be diagnosed.
2. The remote diagnosis method according to claim 1, wherein before transmitting a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the method further comprises:
generating an execution sequence of the test script;
dividing the diagnosis category to which the execution sequence of the test script belongs;
generating the test script according to the diagnosis category and the corresponding execution sequence of the test script;
and remotely synchronizing the test script to the vehicle to be diagnosed.
3. The remote diagnosis method according to claim 2, wherein the server comprises a diagnosis database comprising a correspondence between the signal variable generated by each test step and a diagnosis fault;
the step of receiving the execution result sent by the vehicle to be diagnosed comprises the following steps:
confirming the diagnosis fault of the execution result based on the corresponding relation between the signal variable generated by each test step in the diagnosis database and the diagnosis fault.
4. The remote diagnosis method according to claim 2, wherein before transmitting a remote diagnosis instruction to the vehicle to be diagnosed according to the remote diagnosis request, the method further comprises:
configuring condition information for executing a test on the vehicle to be diagnosed, and sending the condition information to the vehicle to be diagnosed, wherein the condition information comprises a state information item in the vehicle to be diagnosed, which needs to be detected;
and sending a remote diagnosis instruction to the vehicle to be diagnosed based on the condition information.
5. The remote diagnosis method according to claim 4, wherein the transmitting of the remote diagnosis instruction to the vehicle to be diagnosed based on the condition information includes:
if a response that the vehicle to be diagnosed does not meet the condition information is received, reconfiguring the condition information so that the vehicle to be diagnosed meets the condition information;
and if a response that the vehicle to be diagnosed meets the condition information is received, sending the remote diagnosis instruction to the vehicle to be diagnosed.
6. The remote diagnostic method of claim 1, wherein receiving a remote diagnostic 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;
and receiving a remote diagnosis request triggered by an after-sales server by calling a preset interface, wherein the after-sales server is used for diagnosing the vehicle to be diagnosed based on a preset condition according to the vehicle data of the vehicle to be diagnosed.
7. A remote diagnosis apparatus, applied to a server side, comprising:
the system comprises a first receiving unit, a second receiving unit and a diagnosis unit, wherein the first receiving unit is used for receiving a remote diagnosis request which comprises 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, where the remote diagnosis instruction is used to instruct the vehicle to be diagnosed to perform a corresponding test;
and the second receiving unit is used for receiving the execution result sent by the vehicle to be diagnosed.
8. 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 to enable the at least one processor to perform the method of any one of claims 1-6.
9. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-6.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-6.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111663866.7A CN115437340A (en) | 2021-12-31 | 2021-12-31 | Remote diagnosis method and device, electronic equipment and storage medium |
| PCT/CN2022/142555 WO2023125590A1 (en) | 2021-12-31 | 2022-12-27 | Remote diagnosis method and apparatus, and electronic device and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111663866.7A CN115437340A (en) | 2021-12-31 | 2021-12-31 | Remote diagnosis method and device, electronic equipment and storage medium |
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| CN115437340A true CN115437340A (en) | 2022-12-06 |
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| CN202111663866.7A Pending CN115437340A (en) | 2021-12-31 | 2021-12-31 | Remote diagnosis method and device, electronic equipment and storage medium |
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| CN (1) | CN115437340A (en) |
| WO (1) | WO2023125590A1 (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115933621A (en) * | 2023-03-14 | 2023-04-07 | 深圳顶匠科技有限公司 | Vehicle remote diagnosis service method and system |
| WO2023125590A1 (en) * | 2021-12-31 | 2023-07-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and apparatus, and electronic device and storage medium |
| WO2023125591A1 (en) * | 2021-12-31 | 2023-07-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method, apparatus and system, and electronic device and storage medium |
| WO2023125852A1 (en) * | 2021-12-31 | 2023-07-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and apparatus, and electronic device and storage medium |
| CN117032162A (en) * | 2023-08-04 | 2023-11-10 | 广州汽车集团股份有限公司 | Remote diagnosis method, device, equipment and storage medium for vehicle |
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| JP4337084B2 (en) * | 2003-03-28 | 2009-09-30 | マツダ株式会社 | Remote fault diagnosis system |
| CN110031232A (en) * | 2018-01-12 | 2019-07-19 | 上海汽车集团股份有限公司 | A kind of vehicle diagnosing system and method |
| CN111026096B (en) * | 2019-12-30 | 2020-10-30 | 华人运通(江苏)技术有限公司 | Vehicle diagnosis method, apparatus, system, device and computer readable storage medium |
| CN111781911A (en) * | 2020-06-23 | 2020-10-16 | 浙江吉利汽车研究院有限公司 | Automobile remote diagnosis method and system |
| CN112874530A (en) * | 2021-02-18 | 2021-06-01 | 中国第一汽车股份有限公司 | Vehicle diagnosis method and device, electronic equipment and storage medium |
| CN115437340A (en) * | 2021-12-31 | 2022-12-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and device, electronic equipment and storage medium |
| CN115437339A (en) * | 2021-12-31 | 2022-12-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and device, electronic equipment and storage medium |
| CN115437338A (en) * | 2021-12-31 | 2022-12-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and device, electronic equipment and storage medium |
| CN115469629A (en) * | 2021-12-31 | 2022-12-13 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method, device, system, electronic equipment and storage medium |
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2021
- 2021-12-31 CN CN202111663866.7A patent/CN115437340A/en active Pending
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2022
- 2022-12-27 WO PCT/CN2022/142555 patent/WO2023125590A1/en unknown
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023125590A1 (en) * | 2021-12-31 | 2023-07-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and apparatus, and electronic device and storage medium |
| WO2023125591A1 (en) * | 2021-12-31 | 2023-07-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method, apparatus and system, and electronic device and storage medium |
| WO2023125852A1 (en) * | 2021-12-31 | 2023-07-06 | 北京罗克维尔斯科技有限公司 | Remote diagnosis method and apparatus, and electronic device and storage medium |
| CN115933621A (en) * | 2023-03-14 | 2023-04-07 | 深圳顶匠科技有限公司 | Vehicle remote diagnosis service method and system |
| CN115933621B (en) * | 2023-03-14 | 2023-08-04 | 深圳鼎匠科技有限公司 | Vehicle remote diagnosis service method and system |
| CN117032162A (en) * | 2023-08-04 | 2023-11-10 | 广州汽车集团股份有限公司 | Remote diagnosis method, device, equipment and storage medium for vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023125590A1 (en) | 2023-07-06 |
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