CN114640662A - Automobile remote diagnosis system and method based on cloud platform - Google Patents

Automobile remote diagnosis system and method based on cloud platform Download PDF

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CN114640662A
CN114640662A CN202011469955.3A CN202011469955A CN114640662A CN 114640662 A CN114640662 A CN 114640662A CN 202011469955 A CN202011469955 A CN 202011469955A CN 114640662 A CN114640662 A CN 114640662A
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diagnosis
service
vehicle
data
automobile
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宋有
韦正坤
程波
李健民
李斌
李统超
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Guangxi Jinbenteng Automotive Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

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Abstract

The invention provides an automobile remote diagnosis system and method based on a cloud platform, which comprises the following steps: the system comprises a cloud server processing center, a database, a front-end service, a diagnosis service, an access service and a diagnosis box; the cloud server processing center is responsible for scheduling and managing sub-services of the cloud platform; the database is used for storing a service requirement list and vehicle configuration information; the front-end service is used for analyzing the service requirement data packet; the diagnostic service is used for analyzing the vehicle diagnostic data packet and outputting diagnostic content; the access service is used for respectively receiving the service requirement data packet and the vehicle diagnosis data packet and issuing an instruction; the diagnosis box is used for acquiring vehicle diagnosis data packets and uploading the vehicle diagnosis data packets to the access service; and a remote diagnosis method thereof are disclosed. The method has the advantages that the service and the diagnosis logic are independent of the intelligent terminal equipment and are arranged on the cloud platform, so that the hardware configuration requirement and cost are reduced, and meanwhile, different intelligent terminal equipment can share the automobile remote diagnosis service on the cloud platform.

Description

Automobile remote diagnosis system and method based on cloud platform
Technical Field
The invention belongs to the technical field of automobile diagnosis, and particularly relates to an automobile remote diagnosis system and method based on a cloud platform.
Background
The vehicle diagnosis is an indispensable link for after-sale maintenance of automobiles, in order to ensure the comprehensiveness of vehicle diagnosis of various brands, a comprehensive maintenance factory is often required to be provided with a plurality of comprehensive vehicle diagnosis devices, driving is a common vehicle at present for people along with more and more private cars, a vehicle owner is very concerned about the daily running safety of the vehicle, the diagnosis devices similar to the maintenance factory are expected to comprehensively detect whether the vehicle has a fault hidden danger before going out, and meanwhile, the fault alarm can be given in time during the running process.
For a maintenance factory, a plurality of diagnostic devices are purchased, extra purchase of diagnostic device cost is needed, for a private owner, a comprehensive diagnostic device is purchased specially, the price is expensive and not needed, a brand vehicle model is developed independently, the development and sale cost for the diagnostic device manufacturer is high, meanwhile, the running of vehicle diagnostic software has higher requirements on the hardware and system configuration of the diagnostic device, so that the price cannot be reduced, therefore, whether the comprehensive diagnostic device used by the maintenance factory or the independent brand required by the owner needs high-configuration hardware and diagnostic system support, and the research and development investment of the diagnostic device developer on the hardware device and the diagnostic software is increased.
Therefore, the service logic and the diagnosis logic of the vehicle diagnosis device need to be stripped from intelligent terminal devices such as android, apples and PCs in combination with the internet and the automobile diagnosis technology, the diagnosis service independently runs on the cloud platform, so that the service diagnosis logic run by the intelligent terminal devices is quantized, requirements on hardware and a basic running system are reduced, the input cost is reduced, and the service and the diagnosis function of the cloud platform are used as a public diagnosis service and are not limited to specific intelligent terminal devices and the automobile remote diagnosis service of the shared platform.
Disclosure of Invention
The invention aims to provide an automobile remote diagnosis system and method based on a cloud platform, according to the automobile remote diagnosis system, the business diagnosis logic of the current intelligent terminal equipment operation is quantized, the requirements of diagnosis software on hardware and a basic operation system are reduced, and the purchase and research and development investment cost is reduced, and in order to realize the purpose, the invention adopts the following technical effects:
according to one aspect of the invention, an automobile remote diagnosis system based on a cloud platform is provided, which is characterized by comprising: the system comprises a cloud server processing center, a database, a front-end service, a diagnosis service, an access service and a diagnosis box;
the cloud server processing center is responsible for scheduling and managing sub-services of the cloud platform;
the database is used for storing a service requirement list and vehicle configuration information;
the front-end service is used for analyzing the service requirement data packet;
the diagnostic service is used for analyzing the vehicle diagnostic data packet and outputting diagnostic content;
the access service is used for receiving the service requirement data packet and the vehicle diagnosis data packet and issuing an instruction;
the diagnostic box is used for acquiring vehicle diagnostic data packets and uploading the vehicle diagnostic data packets to the access service.
Preferably, the scheduling management of each sub-service system of the cloud platform includes a life cycle of the front-end service, the diagnosis service and the access service running on the cloud platform.
Preferably, the database is also used for storing diagnosis contents, diagnosis box equipment information and operation and maintenance management information; the operation and maintenance management information comprises the equipment number and the program version of the diagnosis box and the association information of the automobile brand and automobile type and the diagnosis box, and the customized remote upgrading service is accurately provided for the diagnosis box.
Preferably, the business requirement data packet is selected by a customer operating a mobile phone/tablet APP or a WEB terminal and automatically uploaded to the cloud platform, the access service comprises but is not limited to selection of diagnosis of automobile brands, automobile types, version reading information, fault code reading, data flow reading, freezing frame reading, frame numbers, mileage, component testing and maintenance lamp resetting, and the mobile phone/tablet APP and the WEB terminal are downloaded and installed through application markets to provide a customer interactive operation interface.
Preferably, the service demand data packet is analyzed, a service demand operation identifier preset by the mobile phone/tablet APP or WEB end is matched with a function identifier characteristic preset by the front-end service, a service demand list is generated according to brands, vehicle types and corresponding service demand identifiers, and the cloud server processing center is requested to call the database for storage.
Preferably, the vehicle diagnosis data packet is connected with a vehicle-mounted OBD diagnosis interface through the diagnosis box to acquire electric control system data on a vehicle bus, including but not limited to version information data, fault code data, data stream and frozen frame data, and is packaged and packaged to be uploaded to the cloud platform through a 4G, 5G or WIFI wireless network to access the service;
further, the uploading of the vehicle data packet comprises an online mode and an offline mode, the online mode is used for acquiring the vehicle diagnosis data packet in real time when the network is normal and uploading the vehicle diagnosis data packet, the offline mode is used for temporarily storing the vehicle diagnosis data packet through the diagnosis box temporary storage when the network is detected to be abnormal, and the network is normal and then automatically uploaded.
Preferably, the vehicle diagnosis data packet is analyzed by calling vehicle configuration information stored in the database to match a list according to brands, vehicle types and corresponding service demands, vehicle diagnosis data is analyzed correspondingly according to a preset vehicle diagnosis protocol XML resource file, and diagnosis contents are output to be visual through logical operation;
the vehicle configuration information comprises brands and vehicle types, and vehicle codes, vehicle diagnosis paths and vehicle diagnosis protocol XML resource files are obtained through frame number logical operation;
the diagnosis path comprises but is not limited to vehicle type, annual payment, engine type and displacement, gearbox type and high and low distribution;
the vehicle diagnosis protocol XML resource file comprises a fault code content library and maintenance guide corresponding to a fault code, version information, a data stream, a frozen frame name, a conversion calculation formula, a data stream value and state, a display unit, a data reference range and an activation electric control and function operation message which is correspondingly sent;
the diagnosis content comprises a diagnosis report or diagnosis dynamic data, version information displayed according to ASCII codes, fault codes and fault content and maintenance guide thereof, data stream name, numerical value or state, unit and data stream reference range information, freeze frame information, vehicle frame number and mileage information.
Preferably, the access service is divided into a front-end access service, a diagnostic access service,
the front end accesses a service, performs service data interactive communication with the mobile phone/tablet APP and the WEB end, and correspondingly receives the service demand data packet and issues a service demand result;
and the diagnosis access service is in data interaction communication with the diagnosis box, correspondingly receives the vehicle diagnosis data packet and issues an operation instruction.
Preferably, the service requirement data packet further comprises but is not limited to fault code clearing, key matching, electronic brake matching, throttle matching, tire pressure matching and particle catcher regeneration, and service requirement operation and service requirement results are completed through the system and displayed by a mobile phone/tablet APP and a WEB terminal.
In order to achieve another object of the present invention, the present invention further provides a remote diagnosis method for an automobile based on a cloud platform, which is characterized by comprising the following steps:
step 1, automatically identifying or manually selecting automobile brands, automobile types and service requirements through a mobile phone/tablet APP and a WEB terminal;
step 2, generating a service demand data packet by the 4G, 5G or WIFI wireless network from automobile brand, automobile type information and service demand, and automatically uploading the service demand data packet to the front end of the cloud platform for accessing service;
step 3, the cloud server processing center calls the front-end service to analyze the automobile brand, the automobile type information and the service demand data packet matching identifier characteristics of the front-end access service;
step 4, the cloud server processing center generates a brand vehicle type service demand list from the function name corresponding to the identifier feature configuration and stores the brand vehicle type service demand list into a database;
step 5, the cloud server processing center calls a diagnosis service to match vehicle configuration information through a service requirement list of the database and configure a diagnosis path, and a diagnosis requirement command packet is generated, wherein the diagnosis requirement command packet comprises but is not limited to version reading information, fault code reading, data stream reading, freezing frame data reading, frame number reading and mileage instruction set;
and 6, the diagnosis access service sends the diagnosis requirement command packet to the diagnosis box through the wireless network.
Step 7, the diagnosis box activates a gateway through an automobile OBD diagnosis interface according to the received diagnosis requirement sequence and collects the data of an electric control system on a vehicle bus;
step 8, the diagnosis box packs and encapsulates the acquired vehicle diagnosis data through a wireless network and uploads the data to a diagnosis access service;
step 9, the cloud server processing center calls a vehicle diagnosis data packet of a diagnosis service analysis diagnosis access service, and configures a corresponding diagnosis XML resource file corresponding to the brand vehicle type service demand list through a callback database to analyze vehicle diagnosis data, wherein the vehicle diagnosis data comprises ASCII code display, logically operable numbers and XOR status bits;
step 10, the cloud server processing center generates visual diagnosis contents including but not limited to version information, fault codes and contents, data streams, frozen frame data, frame numbers and mileage data according to the configuration of the automobile brand and the automobile type according to the operation result;
step 11, the cloud server processing center generates a detection report of the diagnosis content or stores the dynamic data diagnosis content in a database;
and 12, calling the database by the cloud server processing center, and pushing the database to a mobile phone/tablet APP and a WEB side for display by the front-end access service.
Due to the adoption of the technical scheme, the invention has the following technical effects:
(1) the invention combines the mobile internet technology and the automobile diagnosis technology, and the intelligent terminal which separates the service logic and the diagnosis logic of the diagnosis equipment from the concrete intelligent terminal independently operates on the cloud platform, so that the intelligent terminal service and the diagnosis logic are quantized, the configuration requirements and the input cost of terminal hardware and a basic operation system are greatly reduced, and the service and the diagnosis function of the cloud platform are used as a public diagnosis service which is not limited by the concrete intelligent terminal equipment and shares the automobile remote diagnosis service.
(2) The diagnosis equipment used by the maintenance factory is not limited by a specific intelligent terminal, the operation requirements of the basic client are downloaded through a tablet computer or a PC (personal computer), the automobile can be remotely diagnosed through the cloud platform, a diagnosis resource file occupying a large internal memory does not need to be downloaded, and the situation that diagnosis cannot be performed due to the fact that the diagnosis equipment is decompressed and installed is avoided.
(3) And the private car owner can download the basic diagnosis APP and the diagnosis software of a single car type of a certain brand by using the smart phone terminal, so that own love car can be diagnosed at any time.
(4) By sharing the automobile diagnosis resources based on the cloud platform, the situation that a diagnostic instrument manufacturer repeatedly develops a set of diagnosis software to meet different diagnosis terminal equipment is avoided, the diagnosis software and function requirements of more automobile types can be studied with effort, and the diagnosis requirements of the automobile after-market on maintenance and after-sale can be met quickly.
For a better understanding and practice, the present invention is described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is a schematic structural diagram of an automobile remote diagnosis system based on a cloud platform;
FIG. 2 is a main flow chart of a cloud platform-based automobile remote diagnosis method of the invention;
FIG. 3 is a flowchart of an embodiment of a scenario of a cloud platform-based remote diagnosis method for an automobile according to the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings by way of examples of preferred embodiments. It should be noted, however, that the numerous details set forth in the description are merely for the purpose of providing the reader with a thorough understanding of one or more aspects of the present invention, which may be practiced without these specific details.
According to an aspect of the present invention, as shown in fig. 1, the present invention provides a cloud platform based remote diagnosis system for an automobile, comprising: the system comprises a cloud server processing center S101, a database S102, a front-end service S103, a diagnosis service S104, an access service S105 and a diagnosis box 106;
the cloud server processing center S101 is responsible for scheduling and managing sub-services of the cloud platform;
the database S102 is used for storing a service requirement list and vehicle configuration information;
the front-end service S103 is used for analyzing the service requirement data packet;
the diagnosis service S104 is used for analyzing the vehicle diagnosis data packet and outputting diagnosis content;
the access service S105 is used for receiving the service requirement data packet and the vehicle diagnosis data packet and issuing an instruction;
the diagnostic box S106 is configured to obtain vehicle diagnostic data packets and upload the vehicle diagnostic data packets to the access service.
Specifically, the cloud server processing center S101, according to the service requirement data packet information received by the access service S105, firstly responds to and analyzes the service requirement data packet by the front-end service S103 to generate a service requirement list and stores the service requirement list in the database S102, the diagnostic service S104 generates a service requirement instruction packet according to the vehicle configuration information stored in the database S102 and sends the service requirement instruction packet to the diagnostic box S106 through the access service S105, obtains vehicle diagnostic data, packages and packages the vehicle diagnostic data and uploads the vehicle diagnostic data to the access service S105 through the wireless network, and the cloud server processing center S101 calls back the service requirement list matching diagnostic service S104 to analyze the vehicle diagnostic data packet and sends diagnostic content through the access service S105; through the scheme, the service logic and the diagnosis logic of the vehicle diagnosis equipment are separated from the intelligent terminal and independently run on the cloud platform, so that the running logic of the intelligent terminal equipment is quantized, the requirements on hardware and an internal running system are reduced, the purchase and research and development investment cost of a client is reduced, and meanwhile different intelligent terminal equipment share the automobile remote diagnosis service of the platform.
Further, the scheduling management of each sub-service system of the cloud platform includes a life cycle of the front-end service S103, the diagnosis service S104, and the access service S105 in operation of the cloud platform, specifically, different service requirements are asynchronously and concurrently processed through the micro-service, accuracy and completeness of service requirements and service result output need to be ensured, and the cloud server processing center S101 uniformly coordinates scheduling and management of each sub-service system.
The database S102 is further used for storing information including but not limited to diagnosis content, diagnosis box equipment information, and operation and maintenance management information; the operation and maintenance management information comprises the equipment number and the program version of the diagnosis box and the association information of the automobile brand and automobile type and the diagnosis box, and the customized remote upgrading service is accurately provided for the diagnosis box.
The service requirement data packet is selected by a customer operation mobile phone/panel APP or a WEB end and automatically uploaded to the cloud platform to access the service S105, wherein the service comprises but is not limited to selection of diagnosis of automobile brands, automobile types, version reading information, fault code reading, data flow reading, freezing frame data reading, automobile frame numbers, mileage, component testing and maintenance lamp resetting, and the mobile phone/panel APP and the WEB end are downloaded and installed through application markets to provide a customer interactive operation interface.
And the service demand data packet is analyzed, a service demand operation identifier preset by the mobile phone/tablet APP or WEB side is matched with a function identifier characteristic preset by the front-end service, a service demand list is generated according to the brand, the vehicle type and the corresponding service demand identifier, and the cloud server processing center S101 is requested to be called into the database S102 for storage.
The vehicle diagnosis data packet is connected with a vehicle-mounted OBD diagnosis interface through the diagnosis box S106 to obtain electric control system data on a vehicle bus, including but not limited to version information data, fault code data, data stream and frozen frame data, and is packaged and packaged to be uploaded to the access service S105 of the cloud platform through a 4G, 5G or WIFI wireless network;
further, the uploading of the vehicle data packet comprises an online mode and an offline mode, the online mode is used for acquiring the vehicle diagnosis data packet in real time when the network is normal and uploading the vehicle diagnosis data packet, the offline mode is used for temporarily storing the vehicle diagnosis data packet through the diagnosis box temporary storage when the network is detected to be abnormal, and the network is normal and then automatically uploaded.
Analyzing the vehicle diagnosis data packet, matching a vehicle configuration information stored in the database according to a brand, a vehicle type and a corresponding service demand list, analyzing vehicle diagnosis data correspondingly according to a preset vehicle diagnosis protocol XML resource file, and outputting diagnosis content to be visual through logical operation;
the vehicle configuration information comprises brands and vehicle types, and vehicle codes, vehicle diagnosis paths and vehicle diagnosis protocol XML resource files are obtained through frame number logical operation;
the diagnosis path comprises but is not limited to vehicle type, annual payment, engine type and displacement, gearbox type and high and low distribution;
the vehicle diagnostic protocol XML resource file comprises but is not limited to a fault code content library and maintenance guide corresponding to fault codes, version information, data streams, frozen frame names, conversion calculation formulas, data stream values and states, display units, data reference ranges and correspondingly sent activation electronic control and function operation messages;
the diagnosis content comprises a diagnosis report or diagnosis dynamic data, version information displayed according to ASCII codes, fault codes and fault content and maintenance guide thereof, data stream name, numerical value or state, unit and data stream reference range information, freeze frame information, vehicle frame number and mileage information.
Said access services S105 are divided into front end access services, diagnostic access services,
the front end accesses a service, performs service data interactive communication with the mobile phone/tablet APP and the WEB end, and correspondingly receives the service demand data packet and issues a service demand result;
and the diagnosis access service is in data interaction communication with the diagnosis box, correspondingly receives the vehicle diagnosis data packet and issues an operation instruction.
The service requirement data packet further comprises but is not limited to fault code clearing, key matching, electronic brake matching, throttle valve matching, tire pressure matching and particle catcher regeneration, and service requirement operation is completed through the system, and a service requirement result is displayed by a mobile phone/tablet APP and a WEB terminal.
As shown in fig. 2, according to another aspect of the present invention, there is provided a cloud platform-based remote diagnosis method for an automobile, comprising the following steps:
s201, automatically identifying or manually selecting automobile brands, automobile types and service requirements through a mobile phone/tablet APP and a WEB side;
s202, a 4G, 5G or WIFI wireless network automatically uploads a service demand data packet generated by automobile brand, automobile type information and service demand to the front end of a cloud platform for accessing service;
s203, the cloud server processing center calls a front-end service to analyze the characteristics of the automobile brand, the automobile type information and the service demand data packet matching identifiers of the front-end access service;
s204, the cloud server processing center generates a brand vehicle type service demand list from the function name corresponding to the identifier feature configuration and stores the brand vehicle type service demand list into a database;
s205, the cloud server processing center calls a diagnosis service to match vehicle configuration information through a service requirement list of a database and configure a diagnosis path, and a diagnosis requirement command packet is generated, wherein the diagnosis requirement command packet comprises but is not limited to version reading information, fault code reading, data stream reading, freeze frame data reading, vehicle frame number reading and a mileage instruction set;
and S206, the diagnosis access service sends the diagnosis requirement command packet to the diagnosis box through the wireless network.
S207, the diagnosis box activates a gateway through an automobile OBD diagnosis interface according to the received diagnosis requirement sequence and collects electric control system data on a vehicle bus;
s208, the diagnosis box packs and encapsulates the acquired vehicle diagnosis data through a wireless network and uploads the data to a diagnosis access service;
s209, the cloud server processing center calls a vehicle diagnosis data packet of diagnosis service analysis diagnosis access service, and configures a corresponding diagnosis XML resource file corresponding to the brand vehicle type service demand list through a callback database to analyze vehicle diagnosis data, wherein the diagnosis data comprises ASCII code display, logically-operated numbers and an XOR status bit;
s210, the cloud server processing center configures the automobile brand and the automobile type to generate visual diagnosis contents including but not limited to version information, fault codes and contents, data flow, frozen frame data, automobile frame numbers and mileage data according to the operation result;
step S211, the cloud server processing center generates a detection report of the diagnosis content or stores the dynamic data diagnosis content in a database;
and S112, the cloud server processing center calls the database, and the database is pushed to the mobile phone/tablet APP and the WEB side for display by the front-end access service.
As shown in fig. 3, a method for remote diagnosis of an automobile based on a cloud platform in an embodiment of the present invention is further described by taking a certain brand of automobile as an example:
step S301: a client downloads APP installation through an application market searching client of intelligent terminal equipment such as a mobile phone and a tablet;
step S302: registering an account number and a password, and pairing the Bluetooth of the diagnosis box;
step S303: connecting the diagnosis box into a vehicle OBD diagnosis seat interface;
step S304: scanning and automatically identifying the brand vehicle type, if so, automatically downloading the electric control name of the vehicle type, and if not, manually selecting the brand vehicle type and downloading the electric control name of the vehicle type;
specifically, if the vehicle supports obtaining of the frame number of the electric control system, analysis and automatic downloading of a vehicle basic diagnosis operation interface from a cloud platform are performed, and if automatic identification cannot be performed, menu selection downloading of brands and vehicle types is provided, such as 'popular', 'maiteng';
step S305: writing the vehicle type diagnosis electric control command to a diagnosis box;
step S306: the method comprises the steps that the whole vehicle electric control is automatically scanned through whole vehicle detection, or a certain electric control system is independently and manually selected to be detected, and the operation function requirements include but are not limited to version information reading, fault code reading, data stream reading, frozen frame data reading, vehicle frame number reading and mileage reading, component testing, lamp zero resetting for maintenance, fault clearing, key matching, electronic brake matching, throttle valve matching, tire pressure matching and particle catcher regeneration;
step S307: automatically pushing a cloud platform to perform remote diagnosis or execution according to the operation function requirement of the S306;
step S308: an optional detection report or dynamic display mode;
step S309: and pushing the cloud platform to the APP for visual display.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and amendments can be made without departing from the principle of the present invention, and these modifications and amendments should also be considered as the protection scope of the present invention.

Claims (10)

1. A cloud platform-based automobile remote diagnosis system and method are characterized by comprising the following steps: the system comprises a cloud server processing center, a database, a front-end service, a diagnosis service, an access service and a diagnosis box;
the cloud server processing center is responsible for scheduling and managing sub-services of the cloud platform;
the database is used for storing a service requirement list and vehicle configuration information;
the front-end service is used for analyzing the service requirement data packet;
the diagnostic service is used for analyzing the vehicle diagnostic data packet and outputting diagnostic content;
the access service is used for receiving the service requirement data packet and the vehicle diagnosis data packet and issuing an instruction;
the diagnostic box is used for acquiring vehicle diagnostic data packets and uploading the vehicle diagnostic data packets to the access service.
2. The cloud platform-based automobile remote diagnosis system according to claim 1, wherein the scheduling management of each sub-service system of the cloud platform comprises a life cycle of the front-end service, the diagnosis service and the access service running on the cloud platform.
3. The cloud platform-based automobile remote diagnosis system according to claim 1, wherein the database is further used for storing information including but not limited to diagnosis content, diagnosis box equipment information, operation and maintenance management information; the operation and maintenance management information comprises the equipment number and the program version of the diagnosis box and the association information of the automobile brand and automobile type and the diagnosis box, and the customized remote upgrading service is accurately provided for the diagnosis box.
4. The cloud platform-based automobile remote diagnosis system as claimed in claim 1, wherein the service requirement data package is selected by a customer operating a mobile phone/tablet APP or WEB terminal and automatically uploaded to the cloud platform for accessing services, including but not limited to selecting and diagnosing automobile brands, automobile models and version reading information, reading fault codes, reading data streams, reading frozen frame data, automobile frame numbers, mileage, component testing and maintenance lamp resetting, and the mobile phone/tablet APP and WEB terminal are downloaded and installed through an application market to provide a customer interactive operation interface.
5. The cloud platform-based automobile remote diagnosis system of claim 1, wherein the service requirement data packet is analyzed, a service requirement operation identifier preset by the mobile phone/tablet APP or WEB terminal is matched with a function identifier preset by the front-end service, a service requirement list is generated according to brands, vehicle types and corresponding service requirement identifiers, and the cloud server processing center is requested to call the database for storage.
6. The cloud platform-based automobile remote diagnosis system of claim 1, wherein the vehicle diagnosis data packet is connected with an on-board OBD diagnosis interface through the diagnosis box to acquire electronic control system data on a vehicle bus, including but not limited to version information data, fault code data, data stream and freeze frame data, and is packaged and encapsulated to be uploaded to the cloud platform through a 4G, 5G or WIFI wireless network for the access service;
further, the uploading of the vehicle data packet comprises an online mode and an offline mode, the online mode is used for acquiring the vehicle diagnosis data packet in real time when the network is normal and uploading the vehicle diagnosis data packet, the offline mode is used for temporarily storing the vehicle diagnosis data packet through the diagnosis box temporary storage when the network is detected to be abnormal, and the network is normal and then automatically uploaded.
7. The cloud platform-based automobile remote diagnosis system of claim 1, wherein the parsing of the vehicle diagnosis data packet is performed by calling vehicle configuration information stored in the database to match a list according to brands, vehicle types and corresponding service requirements, parsing of the vehicle diagnosis data is performed according to a preset vehicle diagnosis protocol XML resource file, and diagnosis content is output as visualization through logical operation;
the vehicle configuration information comprises brands and vehicle types, and vehicle codes, vehicle diagnosis paths and vehicle diagnosis protocol XML resource files are obtained through frame number logical operation;
the diagnosis path comprises but is not limited to vehicle type, annual payment, engine type and displacement, gearbox type and high and low distribution;
the vehicle diagnosis protocol XML resource file comprises a fault code content library and maintenance guide corresponding to a fault code, version information, a data stream, a frozen frame name, a conversion calculation formula, a data stream value and state, a display unit, a data reference range and an activation electric control and function operation message which is correspondingly sent;
the diagnosis content comprises a diagnosis report or diagnosis dynamic data, version information displayed according to ASCII codes, fault codes and fault content and maintenance guide thereof, data stream name, numerical value or state, unit and data stream reference range information, freeze frame information, vehicle frame number and mileage information.
8. The cloud platform-based automobile remote diagnosis system according to claim 1, wherein the access service is divided into a front-end access service and a diagnosis access service,
the front end accesses a service, performs service data interactive communication with the mobile phone/tablet APP and the WEB end, and correspondingly receives the service demand data packet and issues a service demand result;
and the diagnosis access service is in data interaction communication with the diagnosis box, correspondingly receives the vehicle diagnosis data packet and issues an operation instruction.
9. The cloud platform based automobile remote diagnosis system according to claim 4, wherein the service requirement data packet further includes but is not limited to fault code clearing, key matching, electronic brake matching, throttle valve matching, tire pressure matching and particle catcher regeneration, and the system according to claims 1-8 completes service requirement operation and service requirement result is displayed by mobile phone/tablet APP and WEB terminal.
10. A method for establishing a cloud platform-based remote diagnosis method for an automobile according to the system of any one of claims 1 to 9, which is characterized by comprising the following steps:
step 1, automatically identifying or manually selecting automobile brands, automobile types and service requirements through a mobile phone/tablet APP and a WEB side;
step 2, generating a service demand data packet by the 4G, 5G or WIFI wireless network from automobile brand, automobile type information and service demand, and automatically uploading the service demand data packet to the front end of the cloud platform for accessing service;
step 3, the cloud server processing center calls the front-end service to analyze the automobile brand, the automobile type information and the service demand data packet matching identifier characteristics of the front-end access service;
step 4, the cloud server processing center generates a service demand list of the brand vehicle type into a function name corresponding to the identifier feature configuration and stores the service demand list into a database;
step 5, the cloud server processing center calls a diagnosis service to match vehicle configuration information through a service requirement list of the database and configure a diagnosis path, and a diagnosis requirement command packet is generated, wherein the diagnosis requirement command packet comprises but is not limited to version reading information, fault code reading, data stream reading, freezing frame data reading, frame number reading and mileage instruction set;
and 6, the diagnosis access service sends the diagnosis requirement command packet to the diagnosis box through the wireless network.
Step 7, the diagnosis box activates a gateway through an automobile OBD diagnosis interface according to the received diagnosis requirement sequence and collects the data of an electric control system on a vehicle bus;
step 8, the diagnosis box packs and encapsulates the acquired vehicle diagnosis data through a wireless network and uploads the data to a diagnosis access service;
step 9, the cloud server processing center calls a vehicle diagnosis data packet of a diagnosis service analysis diagnosis access service, and configures a corresponding diagnosis XML resource file corresponding to the brand vehicle type service demand list through a callback database to analyze vehicle diagnosis data, wherein the vehicle diagnosis data comprises ASCII code display, logically operable numbers and XOR status bits;
step 10, the cloud server processing center configures the automobile brand and the automobile type to generate visual diagnosis contents including but not limited to version information, fault codes and contents, data flow, frozen frame data, automobile frame numbers and mileage data according to the operation result;
step 11, the cloud server processing center generates a detection report of the diagnosis content or stores the dynamic data diagnosis content in a database;
and 12, calling the database by the cloud server processing center, and pushing the database to a mobile phone/tablet APP and a WEB side for display by the front-end access service.
CN202011469955.3A 2020-12-15 2020-12-15 Automobile remote diagnosis system and method based on cloud platform Pending CN114640662A (en)

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