WO2021031983A1 - 一种汽车诊断云平台系统、业务实现方法 - Google Patents

一种汽车诊断云平台系统、业务实现方法 Download PDF

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Publication number
WO2021031983A1
WO2021031983A1 PCT/CN2020/109029 CN2020109029W WO2021031983A1 WO 2021031983 A1 WO2021031983 A1 WO 2021031983A1 CN 2020109029 W CN2020109029 W CN 2020109029W WO 2021031983 A1 WO2021031983 A1 WO 2021031983A1
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business
data
automobile
automobile diagnosis
service
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French (fr)
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张良
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Autel Intelligent Technology Corp Ltd
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Autel Intelligent Technology Corp Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/01—Customer relationship services
    • G06Q30/015—Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk
    • G06Q30/016—After-sales
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/40—Bus networks
    • H04L12/40006—Architecture of a communication node
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/18—Multiprotocol handlers, e.g. single devices capable of handling multiple protocols

Definitions

  • This application relates to the technical field of automobile diagnosis, and in particular to an automobile diagnosis cloud platform system and a business realization method.
  • the technical problem to be solved by the present invention is to provide an automobile diagnosis cloud platform system and a business realization method to solve the technical problems of low automobile diagnosis efficiency, high requirement on the skill level of maintenance workers, and high maintenance cost.
  • the first aspect of the embodiments of the present invention provides an automobile diagnosis cloud platform system.
  • the automobile diagnosis cloud platform system is used to collect automobile diagnosis related data and provide automobile diagnosis related services based on the automobile diagnosis related data.
  • the automobile diagnosis cloud platform system includes:
  • the business bus is used to connect at least two business service nodes and transmit business services between the at least two business service nodes and the automobile diagnostic cloud platform system, wherein the at least two business service nodes There are business service nodes belonging to different types of business systems related to automobile diagnosis, and the business bus supports at least two business communication protocols to support communication between the at least two business service nodes and the automobile diagnosis cloud platform system ;
  • the data bus is used to connect at least two data service nodes, and obtain at least two automobile diagnosis related data from the at least two data service nodes, wherein the at least two automobile diagnosis related data belong to different Data of a data source, the data bus supports at least two data communication protocols to support communication between the at least two data service nodes and the automobile diagnosis cloud platform system;
  • the infrastructure layer is used to construct the basic operating environment of the automobile diagnostic cloud platform system
  • the data processing and data platform layer is constructed based on the infrastructure layer, and the data processing and data platform layer obtains the at least two vehicle diagnostic related data through the data bus, and is used to compare the at least two Carrying out the processing of car diagnosis related data and providing access or storage services;
  • the interface layer is constructed based on the data processing and data platform layer, and the interface layer is used to provide open interface services for the application layer, wherein the interface layer realizes communication with the at least two layers through the service bus.
  • Each business service node transmits the business service.
  • the infrastructure layer includes an infrastructure layer and a basic platform layer
  • the infrastructure layer is used to build hardware devices, and to build a virtual system based on the hardware devices;
  • the basic platform layer is used to implement communication between the interface layer and the infrastructure layer.
  • the basic platform layer includes a container management platform, and the container management platform includes at least two containers,
  • the at least two containers are used to carry processing resources of automobile diagnosis-related services, and the at least two containers are allocated based on the processing resources required by the automobile diagnosis-related services to be processed by the automobile diagnosis cloud platform system, and Each automobile diagnosis-related business corresponds to one or more of the at least two containers.
  • the basic platform layer further includes a message queue and a database cluster,
  • the message queue is used to implement SOA communication between modules in the basic platform layer;
  • the database cluster includes a structured database cluster and an unstructured database cluster, which are used for partitioned storage and reading and writing of data.
  • the application layer is in communication connection with the interface layer, and the application layer is used to realize the front-end separation of the automobile diagnosis cloud platform system, and is also used to carry third-party applications based on service terminals.
  • the service terminal includes a Web terminal, an APP terminal, and a PDA terminal.
  • the third-party applications include automobile diagnosis, recommendation and sales of automobile accessories, automobile insurance, automobile residual value assessment, and automobile finance.
  • an automobile diagnosis cloud platform system is provided.
  • the automobile diagnosis cloud platform system is used to collect automobile diagnosis related data and process automobile diagnosis related services based on the automobile diagnosis related data.
  • the vehicle diagnosis cloud platform system includes:
  • the infrastructure layer is used to construct the basic operating environment of the system, and the infrastructure layer includes an infrastructure layer and a basic platform layer;
  • the infrastructure layer is used to construct hardware devices and establish a virtual system based on the hardware devices
  • the basic platform layer is used to implement communication between the interface layer and the infrastructure layer;
  • the basic platform layer includes a container management platform, the container management platform includes at least two containers, the at least two containers are used to carry processing resources of automobile diagnosis related services, and the at least two containers are based on the automobile diagnosis Allocating processing resources required for each automobile diagnosis-related business to be processed by the cloud platform system, and each automobile diagnosis-related business corresponds to one or more of the at least two containers;
  • the interface layer is constructed based on the data processing and data platform layer, the interface layer is used to provide open interface services for the application layer, and the interface layer is also used to implement service transmission with at least two service service nodes service.
  • system further includes: a service bus and a data bus,
  • the business bus is used to connect at least two business service nodes and transmit business services between the at least two business service nodes and the automobile diagnostic cloud platform system, wherein the at least two business service nodes There are business service nodes belonging to different types of business systems related to automobile diagnosis, and the business bus supports at least two business communication protocols to support communication between the at least two business service nodes and the automobile diagnosis cloud platform system ;
  • the data bus is used to connect at least two data service nodes, and obtain at least two automobile diagnosis related data from the at least two data service nodes, wherein the at least two automobile diagnosis related data belong to different
  • the data bus supports at least two data communication protocols to support communication between the at least two data service nodes and the automobile diagnosis cloud platform system.
  • the data processing and data platform layer is constructed based on the infrastructure layer, and the data processing and data platform layer obtains the at least two vehicle diagnostic related data through the data bus, and uses the data Said at least two car diagnosis related data are processed and provide access or storage services.
  • the interface layer is used to realize the transmission of business services with at least two business service nodes through the business bus.
  • the application layer is in communication connection with the interface layer, and the application layer is used to realize the front-end separation of the automobile diagnosis cloud platform system, and is also used to carry third-party applications based on service terminals.
  • the service terminal includes a Web terminal, an APP terminal, and a PDA terminal.
  • the third-party applications include automobile diagnosis, recommendation and sales of automobile accessories, automobile insurance, automobile residual value assessment, and automobile finance.
  • the third aspect of the embodiments of the present invention provides a service realization method, the method is executed by the first automobile diagnosis cloud platform system as described above, and the method includes:
  • the system receives, through the application layer, user processing requirements for automobile diagnosis related services
  • the system obtains the business service of the automobile diagnosis related business through the business bus;
  • the system obtains data related to the business service through the data bus;
  • the system provides the user with a business processing service for the automobile diagnosis-related business.
  • system obtaining the business service of the automobile diagnosis related business through the business bus includes:
  • the system connects at least two business service nodes through the business bus;
  • the system obtains the business service of the automobile diagnosis related business from the at least two business service nodes through the business bus according to the automobile diagnosis related business;
  • business service nodes belonging to different types of business systems related to automobile diagnosis in the at least two business service nodes
  • the business bus supports at least two business communication protocols to support the at least two business service nodes and Communication between the systems.
  • the system obtaining data related to the business service through the data bus includes:
  • the system is connected to at least two data service nodes through the data bus;
  • the system obtains data related to the business service from the at least two data service nodes through the data bus according to the business service;
  • the data bus supports at least two data communication protocols to support communication between the at least two data service nodes and the system.
  • the system based on the business service and the data, to provide the user with a business processing service for the automobile diagnosis-related business includes:
  • the system allocates at least one container for the automobile diagnosis-related business through the container management platform according to the processing resources required by the business service and the data;
  • the system processes the car diagnosis-related business through the at least one container to provide the user with a business processing service for the car diagnosis-related business.
  • the automobile diagnosis-related business includes automobile diagnosis, recommendation and sales of automobile accessories, automobile insurance, automobile residual value assessment, and automobile finance.
  • the fourth aspect of the embodiments of the present invention provides a service realization method, the method is executed by the second automobile diagnosis cloud platform system as described above, and the method includes:
  • the system receives, through the application layer, user processing requirements for automobile diagnosis related services
  • the system allocates at least one container for the automobile diagnosis related business through the container management platform according to the processing resources required by the automobile diagnosis related business;
  • the system processes the car diagnosis-related business through the at least one container to provide the user with a business processing service for the car diagnosis-related business.
  • the system allocates at least one container for the automobile diagnosis related business through the container management platform according to the processing resources required by the automobile diagnosis related business includes:
  • the system obtains the business service of the automobile diagnosis related business through the business bus;
  • the system obtains data related to the business service through the data bus;
  • the system allocates at least one container for the automobile diagnosis-related business through the container management platform according to the processing resources required by the business service and the data.
  • system obtaining the business service of the automobile diagnosis related business through the business bus includes:
  • the system connects at least two business service nodes through the business bus;
  • the system obtains the business service of the automobile diagnosis related business from the at least two business service nodes through the business bus according to the automobile diagnosis related business;
  • business service nodes belonging to different types of business systems related to automobile diagnosis in the at least two business service nodes
  • the business bus supports at least two business communication protocols to support the at least two business service nodes and Communication between the systems.
  • the system obtaining data related to the business service through the data bus includes:
  • the system is connected to at least two data service nodes through the data bus;
  • the system obtains data related to the business service from the at least two data service nodes through the data bus according to the business service;
  • the data bus supports at least two data communication protocols to support communication between the at least two data service nodes and the system.
  • the automobile diagnosis-related business includes automobile diagnosis, recommendation and sales of automobile accessories, automobile insurance, automobile residual value assessment, and automobile finance.
  • the automobile diagnosis cloud platform system includes a business bus, a data bus, an infrastructure layer, a data processing and data platform layer, an interface layer, and an application layer.
  • the infrastructure layer includes an infrastructure layer and a basic platform.
  • Layer, the basic platform layer includes a container management platform, the container management platform includes at least two containers, the at least two containers are used to carry processing resources of automobile diagnosis-related services, and the at least two containers are based on Describes the allocation of processing resources required by each automobile diagnosis-related business to be processed by the automobile diagnosis cloud platform system.
  • the business bus connects at least two business service nodes, and transmits business services between the at least two business service nodes and the automobile diagnostic cloud platform system;
  • the data bus connects at least two data service nodes, And obtain at least two car diagnosis related data from the at least two data service nodes, so as to realize the diagnosis of at least two cars.
  • the automobile diagnosis cloud platform system and service realization method provided by the embodiments of the present invention in the first aspect, can improve automobile diagnosis efficiency and automobile diagnosis accuracy; in the second aspect, it can not only diagnose cars of different brands and models at the same time, but also Realize other business services related to automobile diagnosis, realize the big data platform that the cloud platform of the automobile diagnosis and maintenance industry provides data services through the data bus, the business service management provided by the cloud platform through the business bus, and the three-in-one business model innovation and technology of the diagnosis terminal Innovation; the third aspect, by adopting a container to carry the processing resources of automobile diagnosis-related services, thereby improving the data processing speed of the system when processing automobile diagnosis-related services.
  • FIG. 1 is a schematic structural diagram of an automobile diagnosis cloud platform system provided by Embodiment 1 of the present invention
  • FIG. 2 is a flowchart of a service realization method provided by Embodiment 3 of the present invention.
  • Fig. 3 is a flowchart of a service implementation method provided by Embodiment 4 of the present invention.
  • the embodiment of the present invention provides an automobile diagnosis cloud platform system.
  • the system adopts the cloud computing SOA architecture of "vertical layering and horizontal division" for design, and provides functions such as service definition, development, deployment, and operation. Realize logic reuse through loose coupling, and realize loose coupling of modules between the same layer through services, so that the platform has good scalability.
  • the system provides SOA-based mass data integration services, including unified data model and management, heterogeneous data collection and integration, and mass data organization and storage, sharing and release, analysis and mining, etc., so that data storage can be based on the architecture It has the ability to adapt to future data volume, storage volume and business changes, supports the storage and efficient use of future massive data, and supports horizontal expansion to support business development.
  • the system architecture and software design fully consider the actual situation of users and meet the actual requirements of industry personnel.
  • the system can be constructed with PC servers, with little or no array storage, to achieve system high performance and low cost.
  • the core database software of the system uses an ACID protection mechanism to ensure transaction integrity and data consistency; data collection uses a database log backup and recovery mechanism to ensure data integrity and data consistency; data transmission is reliable
  • the stable open bus technology ensures the stability and reliability of data transmission; each application service system adopts multi-instance node cluster deployment to ensure that the system can continue to work stably and uninterruptedly. Any component in the application system is updated and loaded without interruption. Under the premise of updating and upper and lower component interfaces, business operations and services are not affected; system modules adopt cluster architecture to eliminate single points of failure; network switches adopt dual machines, and network links adopt dual-line redundancy to ensure network link redundancy.
  • the automobile diagnostic cloud platform system includes a business bus, a data bus, an infrastructure layer, a data processing and data platform layer, an interface layer, and an application layer.
  • the infrastructure layer is used to build the basic operating environment of the automobile diagnostic cloud platform system;
  • the data processing and data platform layer is built based on the infrastructure layer, which provides data cleaning, analysis and mining services, and provides automobile Aftermarket industry data collection, data caching services, data access services;
  • the interface layer is constructed based on the data processing and data platform layer, and is used to provide open interface services for external application systems and upper-layer applications;
  • the business bus transmits business services to the automobile diagnosis cloud platform system through the interface layer;
  • the data bus transmits automobile diagnosis related data to the automobile diagnosis cloud platform system through the data processing and data platform layer;
  • the application layer It is connected to the interface layer in communication, which is used to realize the separation of the front and back ends of the automobile diagnosis cloud platform system, and is also used to carry third-party applications.
  • the data processing and data platform layer is constructed based on the infrastructure layer
  • the interface layer is constructed based on the data processing and data platform layer, which refers to the infrastructure layer
  • the data processing and data platform The layer and the interface layer are from bottom to top, and the next layer is used as the basis to build the upper layer, and the upper layer can be built only after the next layer is built first.
  • the business bus is used to connect at least two business service nodes and transmit business services between the at least two business service nodes and the automobile diagnostic cloud platform system, wherein the at least two There are business service nodes belonging to different types of business systems related to automobile diagnosis in each business service node.
  • the service bus specifically communicates with the interface layer.
  • the communication between the at least two business service nodes and the automobile diagnosis cloud platform system through the business bus is bidirectional.
  • input events and output events can be triggered according to corresponding request instructions.
  • the automobile diagnosis cloud platform system receives a processing request for automobile diagnosis related services
  • the automobile diagnosis cloud platform system sends the processing request to the at least two business service nodes through the service bus, so The at least two business service nodes respond to the processing request and send the business service of the automobile diagnosis related business to the automobile diagnosis cloud platform system through the business bus.
  • the business service node is equivalent to a certain link in the business corresponding to the business service node, such as exporting business services, and the business bus connects the business service node and the automobile diagnosis cloud platform system respectively, thereby providing The vehicle diagnosis cloud platform transmits the business service.
  • the business system refers to a system provided to users. It is an information system that provides targeted support for business processing and can provide strong support for the completion of a certain task.
  • the business system includes a car diagnostic system, Auto parts sales and recommendation system, auto insurance system, used car residual value evaluation system, used car financial system, etc.
  • a business service node may belong to one or more business systems, and a business system may include multiple business service nodes, and the business service node and the business system are in a many-to-many relationship.
  • the service bus supports at least two service communication protocols to support communication between the at least two service service nodes and the automobile cloud platform system.
  • the service communication protocol can be set according to the type and content of the service system.
  • the communication link between the business service node and the automobile cloud platform system may be based on one business communication protocol, or may be based on multiple business communication protocols.
  • the business bus may specifically be a business service bus (BSB), which may be a pipe for connecting various business service nodes in order to integrate different business systems and services of different protocols.
  • BBB business service bus
  • the business service bus realizes the transformation, interpretation and routing of messages, and allows different business services to be interconnected.
  • the data bus is used to connect at least two data service nodes, and obtain at least two automobile diagnosis related data from the at least two data service nodes, wherein the at least two automobile diagnosis related data belong to different The data of the data source.
  • the data service node refers to a data processing process link, and the data processing process link can be used to process different data.
  • the data bus is respectively connected to the data service node and the automobile diagnosis cloud platform system, thereby transmitting the automobile diagnosis related data to the automobile diagnosis cloud platform system, wherein the data bus is specifically related to the data processing Connect with the data platform layer.
  • the vehicle diagnosis related data refers to all data related to the vehicle diagnosis, such as the vin code of the vehicle.
  • the data source refers to the data source of the car diagnosis related data, for example, it can be a certain database or data server. In addition, the data source can also be determined according to the brand and model of the car, for example, those belonging to the same brand
  • the car establishes a data source that includes all data related to car diagnosis of the brand car.
  • the data service node and the data source may have a one-to-one correspondence, that is, each data source transmits the vehicle diagnosis related data from its corresponding data service node to the vehicle diagnosis cloud platform system.
  • the data service node and the data source may also be in a many-to-many relationship, that is, a data service node may belong to one or more data sources, and a data source may contain multiple data service nodes.
  • the data bus supports at least two data communication protocols to support communication between the at least two data service nodes and the automobile diagnosis cloud platform system.
  • the data communication protocol can be set according to the type of the data source, data content, and the like.
  • the communication link between the data service node and the automobile cloud platform system may be based on one data communication protocol for communication, or may be based on multiple data communication protocols for communication.
  • the data bus may specifically be a data service bus (DSB), which may be another pipe, which is used to connect various data service nodes and also to integrate different data sources.
  • the data service bus realizes the formatting and routing of data, enables the interconnection of different business services, and can be understood as an adapter gateway for data.
  • both the service bus and the data bus establish a connection relationship with the automobile diagnosis cloud platform system through the interface layer.
  • the infrastructure layer is used to construct the basic operating environment of the automobile diagnostic cloud platform system, and the basic operating environment includes the software operating environment and the hardware operating environment of the automobile diagnostic cloud platform system.
  • the infrastructure layer is the basic guarantee for the realization of the automobile diagnosis cloud platform system.
  • the hardware operating environment of the infrastructure layer includes one or more processors and memories.
  • the processor and the memory can be connected by a bus or in other ways.
  • the memory can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the service implementation method in the embodiment of the present invention.
  • the processor executes various functional applications and data processing of the automobile diagnosis cloud platform system by running non-volatile software programs, instructions, and modules stored in the memory, that is, realizing the business realization method of the above method embodiment.
  • the memory may include a storage program area and a storage data area, where the storage program area can store an operating system and an application program required by at least one function; the storage data area can store data created based on the use of the car diagnostic cloud platform system.
  • the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices.
  • the memory may optionally include a memory remotely arranged with respect to the processor, and these remote memories may be connected to the automobile diagnosis cloud platform system through a network. Examples of the aforementioned networks include but are not limited to the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the hardware operating environment may specifically be a server cluster.
  • the server cluster is composed of multiple servers.
  • the server is a device that provides computing services.
  • the server is composed of a processor, a hard disk, a memory, and a system bus.
  • the general computer architecture is similar, but due to the need to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability.
  • the data processing and data platform layer is constructed based on the infrastructure layer, and the data processing and data platform layer obtains the at least two vehicle diagnostic related data through the data bus, and is used to compare the at least two Car diagnostic-related data processing and providing access or storage services.
  • the data processing and data platform layer diagnoses the car according to the car diagnosis related data. Specifically, the data processing and data platform layer obtains at least two car diagnosis related data through the data bus , And process the at least two car diagnosis related data to obtain the optimal diagnosis path of the at least two cars; the data processing and data platform layer feeds back the at least two cars to the diagnosis terminal through the data bus According to the optimal diagnosis path, the diagnosis terminal enters the vehicle systems of the at least two cars for diagnosis respectively according to the optimal diagnosis path.
  • the at least two car diagnosis-related data have data belonging to different data sources, when the car is diagnosed according to the at least two car diagnosis-related data, it is possible to realize simultaneous detection of multiple cars of different brands. Carrying out vehicle diagnosis has fully improved the resource utilization rate and improved the efficiency of vehicle diagnosis.
  • the data processing and data platform layer mainly includes a data analysis and mining module, a data cleaning module, an industry data attribution module, and a data access service module.
  • the data analysis and mining module is used to analyze and mine the collected data.
  • each brand of car has its own communication protocol.
  • the car diagnosis cloud platform system first communicates with the car. Carry out communication, obtain car diagnosis related data through the data bus, and then according to the car diagnosis related data and the vehicle communication protocol, the car diagnosis cloud platform system uses machine learning methods (such as neural network) to perform learning calculations, and analyzes the best match for the car Communication protocol to prepare for the car diagnosis.
  • the data cleaning module is used to clean the collected data.
  • the data cleaning includes data cleaning, missing data processing, noise data processing, etc.
  • the specific process of the data cleaning can refer to records in related technologies.
  • the industry data attribution module is used to collect related industry data and perform collection and reconciliation services on the collected industry data.
  • the data access service is used to manage data access requests, which mainly include data source management (such as managing which types of data are stored in which database on which machine), data connection pool management (such as Database connection management), unified transaction management (such as the management of operations such as addition, deletion, modification, and inspection of requests that need to be processed in the database cluster).
  • the interface layer is constructed based on the data processing and data platform layer.
  • the interface layer is used to provide open interface services for the application layer and receive data uploaded by external systems.
  • the interface layer implements different business interfaces for external calls through the received data.
  • the interface layer realizes the transmission of the business service with the at least two business service nodes through the business bus.
  • the business services include automobile diagnosis, recommendation and sales of automobile parts, automobile insurance, automobile residual value assessment, automobile finance, and other business services related to automobile diagnosis.
  • the application layer is in communication connection with the interface layer, and the application layer is used to realize the front-end separation of the automobile diagnosis cloud platform system, and is also used to carry third-party applications based on service terminals.
  • the service terminal includes a Web terminal, an APP terminal, a PDA terminal, etc.
  • the third-party applications include automobile diagnosis, recommendation and sales of automobile accessories, automobile insurance, automobile residual value assessment, and automobile finance.
  • the embodiment of the present invention provides an automobile diagnosis cloud platform system.
  • the automobile diagnosis cloud platform system includes a service bus, a data bus, an infrastructure layer, a data processing and data platform layer, an interface layer, and an application layer.
  • the bus connects at least two business service nodes, and transmits business services between the at least two business service nodes and the automobile diagnostic cloud platform system;
  • the data bus connects at least two data service nodes, and transfers business services between the at least two business service nodes and the automobile diagnostic cloud platform system;
  • At least two car diagnosis related data are acquired from the two data service nodes, so as to realize the diagnosis of at least two cars.
  • the automobile diagnosis cloud platform system and service realization method provided by the embodiments of the present invention can not only improve automobile diagnosis efficiency and automobile diagnosis accuracy rate, but also diagnose cars of different brands and models at the same time, and also realize other related automobile diagnosis.
  • Business services have realized the business model innovation and technological innovation of the three-in-one business model and technology in which the cloud platform of the automobile diagnosis and maintenance industry provides data services with the data bus, the business service management provided by the cloud platform with the business bus, and the diagnosis terminal.
  • an embodiment of the present invention provides an automobile diagnosis cloud platform system.
  • the infrastructure layer includes an infrastructure layer and a basic platform layer.
  • the infrastructure layer is used to construct hardware devices and to establish a virtual system based on the hardware devices;
  • the basic platform layer is used to implement communication between the interface layer and the infrastructure layer.
  • the basic platform layer includes a container management platform
  • the container management platform includes at least two containers
  • the at least two containers are used to carry processing resources of automobile diagnosis-related services. It is based on the allocation of processing resources required by each automobile diagnosis related business to be processed by the automobile diagnosis cloud platform system, and each automobile diagnosis related business corresponds to one or more of the at least two containers.
  • the container is essentially a process, but it is different from the process executed by the host.
  • the container process runs in its own independent namespace, so the container can have its own root file system, network configuration, process space, and user ID space.
  • the capacities of the at least two containers may be the same or different.
  • the container management platform provides fine-grained service operation resources for the upper application system, and supports dynamic scheduling and elastic expansion.
  • the embodiment of the present invention provides an automobile diagnosis cloud platform system.
  • the automobile diagnosis cloud platform system includes a business bus, a data bus, an infrastructure layer, a data processing and data platform layer, an interface layer, and an application layer.
  • the infrastructure layer It includes an infrastructure layer and a basic platform layer
  • the basic platform layer includes a container management platform
  • the container management platform includes at least two containers, the at least two containers are used to carry processing resources of automobile diagnosis-related services, and At least two containers are allocated based on the processing resources required by each vehicle diagnosis-related business to be processed by the vehicle diagnosis cloud platform system.
  • the business bus connects at least two business service nodes, and transmits business services between the at least two business service nodes and the automobile diagnostic cloud platform system;
  • the data bus connects at least two data service nodes, And obtain at least two car diagnosis related data from the at least two data service nodes, so as to realize the diagnosis of at least two cars.
  • the automobile diagnosis cloud platform system and service realization method provided by the embodiments of the present invention in the first aspect, can improve automobile diagnosis efficiency and automobile diagnosis accuracy; in the second aspect, not only can diagnose cars of different brands and models at the same time, but also Realize other business services related to automobile diagnosis, realize the big data platform that the cloud platform of the automobile diagnosis and maintenance industry provides data services through the data bus, the business service management provided by the cloud platform through the business bus, and the three-in-one business model innovation and technology of the diagnosis terminal Innovation; the third aspect, by adopting a container to carry the processing resources of automobile diagnosis-related services, thereby improving the data processing speed of the system when processing automobile diagnosis-related services.
  • the automobile diagnosis cloud platform system in the first embodiment and the second embodiment can be integrated into a new automobile diagnosis cloud platform system, which can realize the integration of the automobile diagnosis cloud platform system described in the first embodiment and the second embodiment. All functions.
  • an embodiment of the present invention provides a service realization method, which is executed by the automobile diagnosis cloud platform system described in the first embodiment above. Specifically, the method includes:
  • Step 101 The system receives the user's processing requirements for automobile diagnosis-related services through the application layer.
  • the business related to automobile diagnosis includes automobile diagnosis, recommendation and sales of automobile parts, automobile insurance, automobile residual value assessment, and automobile finance.
  • the user may be a developer user, an operation management user, a consumer user, etc.
  • the processing demand of the automobile diagnosis-related business may be the processing demand of one automobile diagnosis-related business, or may be the processing demand of multiple automobile diagnosis-related business.
  • it is a processing requirement of multiple automobile diagnosis-related services
  • it can be multiple processing requirements of a kind of automobile diagnosis-related business.
  • multiple users request automobile diagnosis at the same time; it can also be multiple corresponding to multiple automobile diagnosis-related services.
  • a processing requirement such as two users requesting car diagnosis processing demand and car insurance processing demand respectively.
  • the system can simultaneously process multiple identical automobile diagnosis-related businesses and simultaneously process multiple different automobile diagnosis-related businesses.
  • Step 102 The system obtains the business service of the automobile diagnosis-related business through the business bus.
  • the system obtaining the business service of the automobile diagnosis related business through the business bus includes: the system connects at least two business service nodes through the business bus; the system according to the automobile diagnosis The related business obtains the business service of the automobile diagnosis related business from the at least two business service nodes through the business bus; wherein, there are different types of business systems related to automobile diagnosis in the at least two business service nodes
  • the service service node of the service, the service bus supports at least two service communication protocols to support the communication between the at least two service service nodes and the system.
  • Step 103 The system obtains data related to the business service through the data bus.
  • the system obtaining the data related to the business service through the data bus includes: the system connects at least two data service nodes through the data bus; The data bus obtains data related to the business service from the at least two data service nodes; wherein the data bus supports at least two data communication protocols to support the at least two data service nodes and the The communication between the systems.
  • Step 104 The system provides the user with a business processing service for the automobile diagnosis-related business according to the business service and the data.
  • the system providing the user with a business processing service for the automobile diagnosis-related business based on the business service and the data includes: the system based on the business service and the data Required processing resources, at least one container is allocated for the car diagnosis-related business through the container management platform; the system processes the car diagnosis-related business through the at least one container to provide the user with Business processing services for diagnosis-related businesses.
  • the embodiment of the present invention provides a service realization method, which is applied to the aforementioned automobile diagnosis cloud platform system.
  • This method can not only improve the efficiency of car diagnosis and the accuracy of car diagnosis, but also can diagnose cars of different brands and models at the same time, and can also realize other business services related to car diagnosis, and realize the cloud platform of car diagnosis and maintenance industry with data bus
  • the big data platform that provides data services, the cloud platform and the business service management provided by the business bus, as well as the diagnosis terminal, are trinity business model innovation and technological innovation.
  • an embodiment of the present invention provides a service realization method, which is executed by the automobile diagnosis cloud platform system described in the second embodiment above. Specifically, the method includes:
  • Step 201 The system receives the user's processing requirements for automobile diagnosis-related services through the application layer.
  • the business related to automobile diagnosis includes automobile diagnosis, recommendation and sales of automobile parts, automobile insurance, automobile residual value assessment, and automobile finance.
  • the user may be a developer user, an operation management user, a consumer user, etc.
  • the processing demand of the automobile diagnosis-related business may be the processing demand of one automobile diagnosis-related business, or may be the processing demand of multiple automobile diagnosis-related business.
  • it is a processing requirement of multiple automobile diagnosis-related services
  • it can be multiple processing requirements of a kind of automobile diagnosis-related business.
  • multiple users request automobile diagnosis at the same time; it can also be multiple corresponding to multiple automobile diagnosis-related services.
  • a processing requirement such as two users requesting car diagnosis processing demand and car insurance processing demand respectively.
  • the system can simultaneously process multiple identical automobile diagnosis-related businesses and simultaneously process multiple different automobile diagnosis-related businesses.
  • Step 202 The system allocates at least one container for the automobile diagnosis related business through the container management platform according to the processing resources required by the automobile diagnosis related business.
  • the system allocates at least one container for the automobile diagnosis related business through the container management platform according to the processing resources required by the automobile diagnosis related business includes: the system obtains the automobile diagnosis through the service bus Business services of related businesses; the system obtains data related to the business services through the data bus; the system uses the container management platform according to the processing resources required by the business services and the data At least one container is allocated for the business related to automobile diagnosis.
  • the system obtaining the business service of the automobile diagnosis-related business through the business bus includes: the system connects at least two business service nodes through the business bus; the system passes the business service according to the automobile diagnosis-related business
  • the bus obtains the business service of the automobile diagnosis-related business from the at least two business service nodes; wherein there are business service nodes belonging to different types of business systems related to automobile diagnosis in the at least two business service nodes, so
  • the service bus supports at least two service communication protocols to support communication between the at least two service service nodes and the system.
  • Obtaining the data related to the business service by the system through the data bus includes: the system connects at least two data service nodes through the data bus; and the system obtains data from the business service through the data bus according to the business service.
  • the at least two data service nodes acquire data related to the business service; wherein, the data bus supports at least two data communication protocols to support communication between the at least two data service nodes and the system .
  • Step 203 The system processes the car diagnosis-related business through the at least one container to provide the user with a business processing service for the car diagnosis-related business.
  • the embodiment of the present invention provides a service realization method, which is applied to the above-mentioned automobile diagnosis cloud platform system.
  • the method can provide data support for upper-layer data access and processing based on a distributed cluster of docker containers, and massive data partition storage, and Ensuring consistency improves the data processing speed of the automobile diagnosis cloud platform system when processing automobile diagnosis related services.
  • the device embodiments described above are merely illustrative.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • each implementation manner can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware.
  • a person of ordinary skill in the art can understand that all or part of the processes in the method of the foregoing embodiments can be implemented by instructing relevant hardware through a computer program.
  • the program can be stored in a computer readable storage medium. When executed, it may include the processes of the above-mentioned method embodiments.
  • the storage medium may be a magnetic disk, an optical disc, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

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Abstract

本发明涉及汽车诊断技术领域，尤其涉及一种汽车诊断云平台系统、业务实现方法。该系统包括：业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层，该基础架构层包括基础设施层和基础平台层，基础平台层包括容器管理平台，该容器管理平台包括至少两个容器。该系统基于上述各层架构收集汽车诊断相关数据，并基于该汽车诊断相关数据提供汽车诊断相关的服务。本发明实施例提供的汽车诊断云平台系统及业务实现方法，提高了汽车诊断效率和汽车诊断准确率；能够对不同品牌、车型的汽车同时进行诊断，并且能够实现与汽车诊断相关的其他业务服务；而且还提高了汽车诊断云平台系统在处理汽车诊断相关业务时的数据处理速度。

Description

一种汽车诊断云平台系统、业务实现方法
本申请要求于2019年8月16日提交中国专利局、申请号为201910758837.5、申请名称为“一种汽车诊断云平台系统、业务实现方法”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及汽车诊断技术领域，尤其涉及一种汽车诊断云平台系统、业务实现方法。
背景技术
目前，云计算、大数据以及人工智能发展突飞猛进，在此背景下构建汽车诊断云平台，能为汽车维修行业赋能，提升汽车诊断、维修效率和汽车诊断、维修准确率，降低维修车间对维修工人的技能等级要求，以及降低维修车间的人力成本。
发明内容
本发明要解决的技术问题是提供一种汽车诊断云平台系统、业务实现方法，解决汽车诊断效率低、对维修工人技能等级要求高以及维修成本高的技术问题。
本发明实施例的第一方面，提供一种汽车诊断云平台系统，所述汽车诊断云平台系统用于收集汽车诊断相关数据，并基于所述汽车诊断相关数据提供汽车诊断相关的服务，所述汽车诊断云平台系统包括：
业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层；
所述业务总线，用于连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务，其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述汽车诊断云平台系统之间的通信；
所述数据总线，用于连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，其中，所述至少两个汽车诊断相关数据中存在属于不同数据源的数据，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述汽车诊断云平台系统之间的通信；
所述基础架构层，用于构建所述汽车诊断云平台系统的基础运行环境；
所述数据处理与数据平台层是基于所述基础架构层构建的，所述数据处理与数据平台层通过所述数据总线获取所述至少两个汽车诊断相关数据，并用于 对所述至少两个汽车诊断相关数据进行处理及提供接入或存储服务；
所述接口层是基于所述数据处理与数据平台层构建的，所述接口层用于为所述应用层提供开放接口服务，其中，所述接口层通过所述业务总线实现与所述至少两个业务服务节点传输所述业务服务。
可选地，所述基础架构层包括基础设施层和基础平台层，
所述基础设施层用于构建硬件设备，以及基于所述硬件设备建立虚拟系统；
所述基础平台层用于实现所述接口层与所述基础架构层之间的通信。
可选地，所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，
所述至少两个容器用于承载汽车诊断相关业务的处理资源，所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的，所述各汽车诊断相关业务对应所述至少两个容器中的一个或多个容器。
可选地，所述基础平台层还包括消息队列和数据库集群，
所述消息队列用于实现所述基础平台层中各模块之间的SOA通讯；
所述数据库集群包括结构化数据库集群和非结构化数据库集群，其用于对数据进行分区存储和读写。
可选地，所述应用层与所述接口层通信连接，所述应用层用于实现所述汽车诊断云平台系统的前后端分离，并且还用于承载基于服务终端的第三方应用。
可选地，所述服务终端包括Web终端、APP终端、PDA终端。
可选地，所述第三方应用包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
本发明实施例的第二方面，提供一种汽车诊断云平台系统，所述汽车诊断云平台系统用于收集汽车诊断相关数据，并基于所述汽车诊断相关数据对汽车诊断相关业务进行处理，所述汽车诊断云平台系统包括：
基础架构层、数据处理与数据平台层、接口层以及应用层；
所述基础架构层用于构建所述系统的基础运行环境，所述基础架构层包括基础设施层和基础平台层；
所述基础设施层用于建构硬件设备以及基于所述硬件设备建立虚拟系统；
所述基础平台层用于实现所述接口层与所述基础架构层之间的通信；
所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，所述至少两个容器用于承载汽车诊断相关业务的处理资源，所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的，所述各汽车诊断相关业务对应所述至少两个容器中的一个或多个容器；
所述接口层是基于所述数据处理与数据平台层构建的，所述接口层用于为 所述应用层提供开放接口服务，所述接口层还用于实现与至少两个业务服务节点传输业务服务。
可选地，所述系统还包括：业务总线和数据总线，
所述业务总线，用于连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务，其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述汽车诊断云平台系统之间的通信；
所述数据总线，用于连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，其中，所述至少两个汽车诊断相关数据中存在属于不同数据源的数据，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述汽车诊断云平台系统之间的通信。
可选地，所述数据处理与数据平台层是基于所述基础架构层构建的，所述数据处理与数据平台层通过所述数据总线获取所述至少两个汽车诊断相关数据，并用于对所述至少两个汽车诊断相关数据进行处理及提供接入或存储服务。
可选地，所述接口层用于通过所述业务总线实现与至少两个业务服务节点传输业务服务。
可选地，所述应用层与所述接口层通信连接，所述应用层用于实现所述汽车诊断云平台系统的前后端分离，并且还用于承载基于服务终端的第三方应用。
可选地，所述服务终端包括Web终端、APP终端、PDA终端。
可选地，所述第三方应用包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
本发明实施例的第三方面，提供一种业务实现方法，所述方法由如上述所述的第一个汽车诊断云平台系统执行，所述方法包括：
所述系统通过所述应用层接收用户针对汽车诊断相关业务的处理需求；
所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务；
所述系统通过所述数据总线获取与所述业务服务相关的数据；
所述系统根据所述业务服务与所述数据，向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
可选地，所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务包括：
所述系统通过所述业务总线连接至少两个业务服务节点；
所述系统根据所述汽车诊断相关业务通过所述业务总线从所述至少两个业务服务节点中获取所述汽车诊断相关业务的业务服务；
其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的 业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述系统之间的通信。
可选地，所述系统通过所述数据总线获取与所述业务服务相关的数据包括：
所述系统通过所述数据总线连接至少两个数据服务节点；
所述系统根据所述业务服务通过所述数据总线从所述至少两个数据服务节点中获取与所述业务服务相关的数据；
其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述系统之间的通信。
可选地，所述系统根据所述业务服务与所述数据，向所述用户提供针对所述汽车诊断相关业务的业务处理服务包括：
所述系统根据所述业务服务与所述数据所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器；
所述系统通过所述至少一个容器处理所述汽车诊断相关业务，以向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
可选地，所述汽车诊断相关业务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
本发明实施例的第四方面，提供一种业务实现方法，所述方法由如上述所述的第二个汽车诊断云平台系统执行，所述方法包括：
所述系统通过所述应用层接收用户针对汽车诊断相关业务的处理需求；
所述系统根据所述汽车诊断相关业务所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器；
所述系统通过所述至少一个容器处理所述汽车诊断相关业务，以向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
可选地，所述系统根据所述汽车诊断相关业务所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器包括：
所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务；
所述系统通过所述数据总线获取与所述业务服务相关的数据；
所述系统根据所述业务服务与所述数据所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器。
可选地，所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务包括：
所述系统通过所述业务总线连接至少两个业务服务节点；
所述系统根据所述汽车诊断相关业务通过所述业务总线从所述至少两个业务服务节点中获取所述汽车诊断相关业务的业务服务；
其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述系统之间的通信。
可选地，所述系统通过所述数据总线获取与所述业务服务相关的数据包括：
所述系统通过所述数据总线连接至少两个数据服务节点；
所述系统根据所述业务服务通过所述数据总线从所述至少两个数据服务节点中获取与所述业务服务相关的数据；
其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述系统之间的通信。
可选地，所述汽车诊断相关业务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
在本发明实施例中，所述汽车诊断云平台系统包括业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层，其中，基础架构层包括基础设施层和基础平台层，所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，所述至少两个容器用于承载汽车诊断相关业务的处理资源，并且所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的。此外，所述业务总线连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务；所述数据总线连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，从而实现对至少两个汽车进行诊断。本发明实施例提供的汽车诊断云平台系统及业务实现方法，第一方面，能够提高汽车诊断效率和汽车诊断准确率；第二方面，不仅能够对不同品牌、车型的汽车同时进行诊断，而且能够实现与汽车诊断相关的其他业务服务，实现了汽车诊断维修行业云平台以数据总线提供数据服务的大数据平台、云平台以业务总线提供的业务服务管理以及诊断终端于三位一体的业务模式创新和技术创新；第三方面，通过采用容器的方式来承载汽车诊断相关业务的处理资源，从而提高了所述系统在处理汽车诊断相关业务时的数据处理速度。
附图说明
一个或多个实施例通过与之对应的附图中的图片进行示例性说明，这些示例性说明并不构成对实施例的限定，附图中具有相同参考数字标号的元件表示为类似的元件，除非有特别申明，附图中的图不构成比例限制。
图1是本发明实施例一提供的一种汽车诊断云平台系统的结构示意图；
图2是本发明实施例三提供的一种业务实现方法的流程图；
图3是本发明实施例四提供的一种业务实现方法的流程图。
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅 用以解释本发明，并不用于限定本发明。
需要说明的是，如果不冲突，本发明实施例中的各个特征可以相互组合，均在本发明的保护范围之内。另外，虽然在装置示意图中进行了功能模块的划分，在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于装置示意图中的模块划分，或流程图中的顺序执行所示出或描述的步骤。
本发明实施例提供了一种汽车诊断云平台系统，该系统采用“纵向分层、横向分割”的云计算SOA架构进行设计，提供服务的定义、开发、部署和运行等功能，各层之间通过松散耦合实现逻辑复用，通过服务方式实现同层之间模块的松耦合，使得平台具备良好的扩展能力。该系统提供基于SOA的海量数据集成服务，包括统一数据模型与管理、异构数据采集与整合、以及海量数据的组织与存储、共享与发布、分析与挖掘等，使数据存储可根据在架构上具备适应未来数据量、存储量及业务变化的能力，支持对未来海量数据的存储和高效使用，支持以横向扩展的方式实现对业务发展的支撑。同时，系统架构和软件设计充分考虑用户的实际情况，满足行业人员的实际要求，系统可采用PC服务器构建，少用或者不用阵列存储，实现系统高性能与低成本。
其中，该系统核心数据库软件采用ACID保护机制，确保事务的完整性和数据的一致性；数据采集采用基于数据库日志备份恢复的机制采集，确保数据的完整性和数据一致性；数据的传输采用可靠稳定的开放总线技术，确保数据传输的稳定性和可靠性；各应用服务系统采用多实例节点集群部署，确保系统能持续稳定不间断地工作，应用系统中的任意构件更新、加载时，在不更新与上下构件接口的前提下，不影响业务运转和服务；系统模块都采用集群架构，消除单点故障；网络交换机采用双机，网络链路采用双线冗余，确保网络链路冗余。
实施例一：
请参阅图1，该汽车诊断云平台系统包括业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层。所述基础架构层用于构建所述汽车诊断云平台系统的基础运行环境；所述数据处理与数据平台层基于所述基础架构层而构建，其提供对数据清洗、分析挖掘服务，以及提供汽车后市场行业数据归集、数据缓存服务、数据访问接入服务；所述接口层基于所述数据处理与数据平台层而构建，其用于为外部应用系统和上层应用提供开放接口服务；所述业务总线通过所述接口层向所述汽车诊断云平台系统传输业务服务；所述数据总线通过所述数据处理与数据平台层向所述汽车诊断云平台系统传输汽车诊断相关数据；所述应用层与所述接口层通讯连接，其用于实现所述汽车诊断云平台系统的前后端分离，并且还用于承载第三方应用。
其中，所述数据处理与数据平台层基于所述基础架构层而构建，所述接口层基于所述数据处理与数据平台层而构建，是指所述基础架构层、所述数据处理与数据平台层、所述接口层从下至上，依次以下一层为基础来建立上一层，只有在先建立好下一层后才能构建上一层。
在本实施例中，所述业务总线用于连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务，其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点。所述业务总线具体是与所述接口层通信连接。
其中，所述至少两个业务服务节点通过所述业务总线与所述汽车诊断云平台系统之间的通信是双向的。在双向通信过程中，可以根据相应的请求指令触发输入事件和输出事件。例如，当所述汽车诊断云平台系统接收到针对汽车诊断相关业务的处理请求时，所述汽车诊断云平台系统通过所述业务总线向所述至少两个业务服务节点发送所述处理请求，所述至少两个业务服务节点响应所述处理请求，通过所述业务总线向所述汽车诊断云平台系统发送所述汽车诊断相关业务的业务服务。
其中，所述业务服务节点相当于所述业务服务节点对应的业务中的某一个环节，比如输出业务服务，所述业务总线分别连接所述业务服务节点和所述汽车诊断云平台系统，从而向所述汽车诊断云平台传输所述业务服务。所述业务系统指的是提供给用户使用的系统，是对业务处理过程进行针对性支持的信息系统，能够为某项工作的完成提供有力的支撑，比如，所述业务系统包括汽车诊断系统、汽车配件销售与推荐系统、汽车保险系统、二手车残值评估系统、二手车金融系统等。其中，一个业务服务节点可以属于一个或者多个业务系统，一个业务系统可以包含多个业务服务节点，所述业务服务节点和所述业务系统是多对多的关系。
其中，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述汽车云平台系统之间的通信。所述业务通信协议可以根据所述业务系统的类型、内容等来进行设定。所述业务服务节点与所述汽车云平台系统之间的通信链路可以基于一条业务通信协议来进行通信，也可以基于多条业务通信协议来进行通信。
其中，所述业务总线具体可以是业务服务总线(BSB)，其可以是一根管道，用于连接各个业务服务节点，为了集成不同的业务系统和不同协议的服务。所述业务服务总线实现了消息的转化解释和路由，让不同的业务服务互联互通。
所述数据总线，用于连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，其中，所述至少两个汽车诊断相关数据中存在属于不同数据源的数据。所述数据服务节点指的是一个数据处理过程环节，该数据处理过程环节可以用来处理不同的数据。所述数据总线分别连接所述数据服务节点和所述汽车诊断云平台系统，从而向所述汽车诊断云平台系统传输所述汽车诊断相关数据，其中，所述数据总线具体是与所述数据处理与数据平台层连接。所述汽车诊断相关数据指的是与汽车诊断相关的全部数据，比如，车辆的vin码等。所述数据源指的是所述汽车诊断相关数据的数据来源，比如其可以是某个数据库或者数据服务器，此外，数据源还可以根据汽车的品牌、车型等来确定，比如，属于同一品牌的汽车建立一个数据源，该数 据源包括该品牌汽车的与汽车诊断相关的全部数据。其中，所述数据服务节点和所述数据源可以是一一对应的关系，即每一所述数据源分别从其对应的数据服务节点向所述汽车诊断云平台系统传输所述汽车诊断相关数据；所述数据服务节点和所述数据源也可以是多对多的关系，即一个数据服务节点可以属于一个或者多个数据源，一个数据源可以包含多个数据服务节点。
其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述汽车诊断云平台系统之间的通信。所述数据通信协议可以根据所述数据源的类型、数据内容等来进行设定。所述数据服务节点与所述汽车云平台系统之间的通信链路可以基于一条数据通信协议来进行通信，也可以基于多条数据通信协议来进行通信。
其中，所述数据总线具体可以是数据服务总线(DSB)，其可以是另一根管道，其用于连接各个数据服务节点，还用于集成不同的数据源。所述数据服务总线实现了数据的格式化和路由，能让不同的业务服务互联互通，可以将其理解为数据的适配器网关。
其中，上述业务总线和上述数据总线均是通过所述接口层与所述汽车诊断云平台系统建立连接关系的。
所述基础架构层用于构建所述汽车诊断云平台系统的基础运行环境，该基础运行环境包括所述汽车诊断云平台系统的软件运行环境和硬件运行环境。所述基础架构层是所述汽车诊断云平台系统实现的基本保障。
在一些实施例中，所述基础架构层的硬件运行环境包括一个或多个处理器以及存储器。处理器和存储器可以通过总线或者其他方式连接。存储器作为一种非易失性计算机可读存储介质，可用于存储非易失性软件程序、非易失性计算机可执行程序以及模块，如本发明实施例中的业务实现方法对应的程序指令/模块。处理器通过运行存储在存储器中的非易失性软件程序、指令以及模块，从而执行汽车诊断云平台系统的各种功能应用以及数据处理，即实现上述方法实施例的业务实现方法。存储器可以包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需要的应用程序；存储数据区可存储根据汽车诊断云平台系统的使用所创建的数据等。此外，存储器可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实施例中，存储器可选包括相对于处理器远程设置的存储器，这些远程存储器可以通过网络连接至汽车诊断云平台系统。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
其中，所述硬件运行环境具体可以是服务器集群，所述服务器集群由多个服务器组成，所述服务器是提供计算服务的设备，服务器的构成包括处理器、硬盘、内存、系统总线等，服务器和通用的计算机架构类似，但是由于需要提供高可靠的服务，因此在处理能力、稳定性、可靠性、安全性、可扩展性、可管理性等方面要求较高。
所述数据处理与数据平台层是基于所述基础架构层构建的，所述数据处理与数据平台层通过所述数据总线获取所述至少两个汽车诊断相关数据，并用于对所述至少两个汽车诊断相关数据进行处理及提供接入或存储服务。
在本实施例中，所述数据处理与数据平台层根据所述汽车诊断相关数据对汽车进行诊断，具体地，所述数据处理与数据平台层通过所述数据总线获取至少两个汽车诊断相关数据，并对所述至少两个汽车诊断相关数据进行处理，以获取至少两个汽车的最优诊断路径；所述数据处理与数据平台层通过所述数据总线向诊断终端反馈所述至少两个汽车的最优诊断路径，以使所述诊断终端根据所述最优诊断路径分别进入所述至少两个汽车的车辆系统进行诊断。其中，由于所述至少两个汽车诊断相关数据中存在属于不同数据源的数据，因此，在根据所述至少两个汽车诊断相关数据对汽车进行诊断时，可以实现对不同品牌的多辆汽车同时进行汽车诊断，充分提高了资源利用率，提升了汽车的诊断效率。
其中，所述数据处理与数据平台层主要包括数据分析挖掘模块、数据清洗模块、行业数据归属模块以及数据访问接入服务模块。所述数据分析挖掘模块用于对采集的数据进行分析、挖掘，比如，每个品牌的汽车都有自己的通讯协议，当需要对汽车进行智能诊断时，所述汽车诊断云平台系统首先与汽车进行通信，通过数据总线获取汽车诊断相关数据，然后根据汽车诊断相关数据和车辆通讯协议，该汽车诊断云平台系统通过机器学习的方法(比如神经网络)进行学习计算，分析出与该汽车最匹配的通讯协议，从而为所述汽车诊断做准备。所述数据清洗模块用于对采集到的数据进行清洗，所述数据清洗包括数据净化、遗漏数据处理，噪声数据处理等，所述数据清洗的具体过程可以参考相关技术的记载。所述行业数据归属模块用于对采集相关行业数据以及对采集的行业数据进行归集对账服务。所述数据访问接入服务用于将访问数据的请求进行管理，其主要包括数据源管理(比如对存储了哪些类别的数据存放在哪个机器的哪个数据库进行管理)、数据连接池管理(比如对数据库的连接进行管理)、统一事务管理(比如对数据库集群中所需要处理的请求所进行的增删改查等操作进行管理)。
所述接口层是基于所述数据处理与数据平台层构建的，就技术层面上来讲，所述接口层用于为所述应用层提供开放接口服务，并且接收外部系统上传来的数据。就业务层面来讲，所述接口层通过接收到的数据，实现不同的业务接口供外部调用。其中，所述接口层通过所述业务总线实现与所述至少两个业务服务节点传输所述业务服务。所述业务服务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估、汽车金融以及其他与汽车诊断相关的业务服务。
所述应用层与所述接口层通信连接，所述应用层用于实现所述汽车诊断云平台系统的前后端分离，并且还用于承载基于服务终端的第三方应用。其中，所述服务终端包括Web终端、APP终端、PDA终端等。其中，所述第三方应用 包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融等。
本发明实施例提供了一种汽车诊断云平台系统，所述汽车诊断云平台系统包括业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层，其中，所述业务总线连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务；所述数据总线连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，从而实现对至少两个汽车进行诊断。本发明实施例提供的汽车诊断云平台系统及业务实现方法，不仅能够提高汽车诊断效率和汽车诊断准确率，而且能够对不同品牌、车型的汽车同时进行诊断，还能够实现与汽车诊断相关的其他业务服务，实现了汽车诊断维修行业云平台以数据总线提供数据服务的大数据平台、云平台以业务总线提供的业务服务管理以及诊断终端于三位一体的业务模式创新和技术创新。
实施例二：
同样请参阅图1，本发明实施例提供一种汽车诊断云平台系统，所述系统与上述实施例一所提供的系统的主要区别在于，所述基础架构层包括基础设施层和基础平台层，所述基础设施层用于建构硬件设备以及基于所述硬件设备建立虚拟系统；所述基础平台层用于实现所述接口层与所述基础架构层之间的通信。
在本实施例中，所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，所述至少两个容器用于承载汽车诊断相关业务的处理资源，所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的，所述各汽车诊断相关业务对应所述至少两个容器中的一个或多个容器。
其中，所述容器实质是进程，但其不同于宿主执行的进程，容器进程运行于属于自己的独立的命名空间，因此容器可以拥有自己的root文件系统、网络配置、进程空间以及用户ID空间。
其中，所述至少两个容器的容量可以是相同的也可以是不同的。
在本实施例中，容器管理平台为上层应用系统提供细粒度的服务运行资源，支持动态调度与弹性扩展。
本发明实施例提供了一种汽车诊断云平台系统，所述汽车诊断云平台系统包括业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层，其中，基础架构层包括基础设施层和基础平台层，所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，所述至少两个容器用于承载汽车诊断相关业务的处理资源，并且所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的。此外，所述业务总线连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务；所述数据总线连接至少两个 数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，从而实现对至少两个汽车进行诊断。本发明实施例提供的汽车诊断云平台系统及业务实现方法，第一方面，能够提高汽车诊断效率和汽车诊断准确率；第二方面，不仅能够对不同品牌、车型的汽车同时进行诊断，而且能够实现与汽车诊断相关的其他业务服务，实现了汽车诊断维修行业云平台以数据总线提供数据服务的大数据平台、云平台以业务总线提供的业务服务管理以及诊断终端于三位一体的业务模式创新和技术创新；第三方面，通过采用容器的方式来承载汽车诊断相关业务的处理资源，从而提高了所述系统在处理汽车诊断相关业务时的数据处理速度。
可以理解地，实施例一与实施例二中的汽车诊断云平台系统可以集成为一个新的汽车诊断云平台系统，其能够实现实施例一与实施例二中所描述的汽车诊断云平台系统的全部功能。
实施例三：
请参阅图2，本发明实施例提供了一种业务实现方法，该方法由上述实施例一所述的汽车诊断云平台系统执行，具体地，该方法包括：
步骤101：所述系统通过所述应用层接收用户针对汽车诊断相关业务的处理需求。
所述汽车诊断相关业务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融等。所述用户可以是开发者用户、运营管理用户、消费者用户等。
其中，所述汽车诊断相关业务的处理需求可以是一个汽车诊断相关业务的处理需求，也可以是多个汽车诊断相关业务的处理需求。当是多个汽车诊断相关业务的处理需求时，可以是一种汽车诊断相关业务的多个处理需求，比如，多个用户同时请求进行汽车诊断；还可以是多种汽车诊断相关业务对应的多个处理需求，比如两个用户分别请求汽车诊断处理需求和汽车保险处理需求。由此，该系统可以实现同时处理多个相同的汽车诊断相关业务，以及同时处理多种不同的汽车诊断相关业务。
步骤102：所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务。
在本实施例中，所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务包括：所述系统通过所述业务总线连接至少两个业务服务节点；所述系统根据所述汽车诊断相关业务通过所述业务总线从所述至少两个业务服务节点中获取所述汽车诊断相关业务的业务服务；其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述系统之间的通信。
步骤103：所述系统通过所述数据总线获取与所述业务服务相关的数据。
在本实施例中，所述系统通过所述数据总线获取与所述业务服务相关的数 据包括：所述系统通过所述数据总线连接至少两个数据服务节点；所述系统根据所述业务服务通过所述数据总线从所述至少两个数据服务节点中获取与所述业务服务相关的数据；其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述系统之间的通信。
步骤104：所述系统根据所述业务服务与所述数据，向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
在本实施例中，所述系统根据所述业务服务与所述数据，向所述用户提供针对所述汽车诊断相关业务的业务处理服务包括：所述系统根据所述业务服务与所述数据所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器；所述系统通过所述至少一个容器处理所述汽车诊断相关业务，以向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
上述步骤102至步骤104具体可以参考上述汽车诊断云平台系统实施例，在此不再详述。
本发明实施例提供了一种业务实现方法，该方法应用于上述汽车诊断云平台系统。该方法不仅能够提高汽车诊断效率和汽车诊断准确率，而且能够对不同品牌、车型的汽车同时进行诊断，还能够实现与汽车诊断相关的其他业务服务，实现了汽车诊断维修行业云平台以数据总线提供数据服务的大数据平台、云平台以业务总线提供的业务服务管理以及诊断终端于三位一体的业务模式创新和技术创新。
实施例四：
请参阅图3，本发明实施例提供了一种业务实现方法，该方法由上述实施例二所述的汽车诊断云平台系统执行，具体地，该方法包括：
步骤201：所述系统通过所述应用层接收用户针对汽车诊断相关业务的处理需求。
所述汽车诊断相关业务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融等。所述用户可以是开发者用户、运营管理用户、消费者用户等。
其中，所述汽车诊断相关业务的处理需求可以是一个汽车诊断相关业务的处理需求，也可以是多个汽车诊断相关业务的处理需求。当是多个汽车诊断相关业务的处理需求时，可以是一种汽车诊断相关业务的多个处理需求，比如，多个用户同时请求进行汽车诊断；还可以是多种汽车诊断相关业务对应的多个处理需求，比如两个用户分别请求汽车诊断处理需求和汽车保险处理需求。由此，该系统可以实现同时处理多个相同的汽车诊断相关业务，以及同时处理多种不同的汽车诊断相关业务。
步骤202：所述系统根据所述汽车诊断相关业务所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器。
其中，所述系统根据所述汽车诊断相关业务所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器包括：所述系统通过所 述业务总线获取所述汽车诊断相关业务的业务服务；所述系统通过所述数据总线获取与所述业务服务相关的数据；所述系统根据所述业务服务与所述数据所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器。
所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务包括：所述系统通过所述业务总线连接至少两个业务服务节点；所述系统根据所述汽车诊断相关业务通过所述业务总线从所述至少两个业务服务节点中获取所述汽车诊断相关业务的业务服务；其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述系统之间的通信。
所述系统通过所述数据总线获取与所述业务服务相关的数据包括：所述系统通过所述数据总线连接至少两个数据服务节点；所述系统根据所述业务服务通过所述数据总线从所述至少两个数据服务节点中获取与所述业务服务相关的数据；其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述系统之间的通信。
步骤203：所述系统通过所述至少一个容器处理所述汽车诊断相关业务，以向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
上述步骤202至步骤203具体可以参考上述汽车诊断云平台系统实施例，在此不再详述。
本发明实施例提供了一种业务实现方法，该方法应用于上述汽车诊断云平台系统，该方法能够基于docker容器的分布式集群，为上层数据访问和处理提供数据支撑，海量数据分区存储，并确保一致性，提高了所述汽车诊断云平台系统在处理汽车诊断相关业务时的数据处理速度。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。
通过以上的实施方式的描述，本领域普通技术人员可以清楚地了解到各实施方式可借助软件加通用硬件平台的方式来实现，当然也可以通过硬件来实现。本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程是可以通过计算机程序来指令相关的硬件来完成，所述的程序可存储于一计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory，ROM)或随机存储记忆体(Random Access Memory，RAM)等。
最后应说明的是：以上实施例仅用以说明本发明的技术方案，而非对其限制；在本发明的思路下，以上实施例或者不同实施例中的技术特征之间也可以 进行组合，步骤可以以任意顺序实现，并存在如上所述的本发明的不同方面的许多其它变化，为了简明，它们没有在细节中提供；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。

Claims (24)

  1. 一种汽车诊断云平台系统，其特征在于，所述汽车诊断云平台系统用于收集汽车诊断相关数据，并基于所述汽车诊断相关数据提供汽车诊断相关的服务，所述汽车诊断云平台系统包括：
    业务总线、数据总线、基础架构层、数据处理与数据平台层、接口层以及应用层；
    所述业务总线，用于连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务，其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述汽车诊断云平台系统之间的通信；
    所述数据总线，用于连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，其中，所述至少两个汽车诊断相关数据中存在属于不同数据源的数据，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述汽车诊断云平台系统之间的通信；
    所述基础架构层，用于构建所述汽车诊断云平台系统的基础运行环境；
    所述数据处理与数据平台层是基于所述基础架构层构建的，所述数据处理与数据平台层通过所述数据总线获取所述至少两个汽车诊断相关数据，并用于对所述至少两个汽车诊断相关数据进行处理及提供接入或存储服务；
    所述接口层是基于所述数据处理与数据平台层构建的，所述接口层用于为所述应用层提供开放接口服务，其中，所述接口层通过所述业务总线实现与所述至少两个业务服务节点传输所述业务服务。
  2. 根据权利要求1所述的系统，其特征在于，所述基础架构层包括基础设施层和基础平台层，
    所述基础设施层用于构建硬件设备，以及基于所述硬件设备建立虚拟系统；
    所述基础平台层用于实现所述接口层与所述基础架构层之间的通信。
  3. 根据权利要求2所述的系统，其特征在于，所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，
    所述至少两个容器用于承载汽车诊断相关业务的处理资源，所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的，所述各汽车诊断相关业务对应所述至少两个容器中的一个或多个容器。
  4. 根据权利要求2所述的系统，其特征在于，所述基础平台层还包括消息队列和数据库集群，
    所述消息队列用于实现所述基础平台层中各模块之间的SOA通讯；
    所述数据库集群包括结构化数据库集群和非结构化数据库集群，其用于对数据进行分区存储和读写。
  5. 根据权利要求1至4中任一项所述的系统，其特征在于，所述应用层与所述接口层通信连接，所述应用层用于实现所述汽车诊断云平台系统的前后端分离，并且还用于承载基于服务终端的第三方应用。
  6. 根据权利要求5所述的系统，其特征在于，所述服务终端包括Web终端、APP终端、PDA终端。
  7. 根据权利要求5所述的系统，其特征在于，所述第三方应用包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
  8. 一种汽车诊断云平台系统，其特征在于，所述汽车诊断云平台系统用于收集汽车诊断相关数据，并基于所述汽车诊断相关数据对汽车诊断相关业务进行处理，所述汽车诊断云平台系统包括：
    基础架构层、数据处理与数据平台层、接口层以及应用层；
    所述基础架构层用于构建所述系统的基础运行环境，所述基础架构层包括基础设施层和基础平台层；
    所述基础设施层用于建构硬件设备以及基于所述硬件设备建立虚拟系统；
    所述基础平台层用于实现所述接口层与所述基础架构层之间的通信；
    所述基础平台层包括容器管理平台，所述容器管理平台包括至少两个容器，所述至少两个容器用于承载汽车诊断相关业务的处理资源，所述至少两个容器是基于所述汽车诊断云平台系统所要处理的各汽车诊断相关业务所需的处理资源分配的，所述各汽车诊断相关业务对应所述至少两个容器中的一个或多个容器；
    所述接口层是基于所述数据处理与数据平台层构建的，所述接口层用于为所述应用层提供开放接口服务，所述接口层还用于实现与至少两个业务服务节点传输业务服务。
  9. 根据权利要求8所述的系统，其特征在于，所述系统还包括：业务总线和数据总线，
    所述业务总线，用于连接至少两个业务服务节点，并在所述至少两个业务服务节点与所述汽车诊断云平台系统之间传输业务服务，其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述汽车诊断云平台系统之间的通信；
    所述数据总线，用于连接至少两个数据服务节点，并从所述至少两个数据服务节点中获取至少两个汽车诊断相关数据，其中，所述至少两个汽车诊断相关数据中存在属于不同数据源的数据，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述汽车诊断云平台系统之间的通信。
  10. 根据权利要求9所述的系统，其特征在于，所述数据处理与数据平台层是基于所述基础架构层构建的，所述数据处理与数据平台层通过所述数据总线获取所述至少两个汽车诊断相关数据，并用于对所述至少两个汽车诊断相关数据进行处理及提供接入或存储服务。
  11. 根据权利要求9所述的系统，其特征在于，所述接口层用于通过所述业务总线实现与至少两个业务服务节点传输业务服务。
  12. 根据权利要求8至11中任一项所述的系统，其特征在于，所述应用层与所述接口层通信连接，所述应用层用于实现所述汽车诊断云平台系统的前后端分离，并且还用于承载基于服务终端的第三方应用。
  13. 根据权利要求11所述的系统，其特征在于，所述服务终端包括Web终端、APP终端、PDA终端。
  14. 根据权利要求11所述的系统，其特征在于，所述第三方应用包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
  15. 一种业务实现方法，其特征在于，所述方法由权利要求1至7中任一项所述的系统执行，所述方法包括：
    所述系统通过所述应用层接收用户针对汽车诊断相关业务的处理需求；
    所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务；
    所述系统通过所述数据总线获取与所述业务服务相关的数据；
    所述系统根据所述业务服务与所述数据，向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
  16. 根据权利要求15所述的方法，其特征在于，所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务包括：
    所述系统通过所述业务总线连接至少两个业务服务节点；
    所述系统根据所述汽车诊断相关业务通过所述业务总线从所述至少两个业务服务节点中获取所述汽车诊断相关业务的业务服务；
    其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述系统之间的通信。
  17. 根据权利要求15所述的方法，其特征在于，所述系统通过所述数据总线获取与所述业务服务相关的数据包括：
    所述系统通过所述数据总线连接至少两个数据服务节点；
    所述系统根据所述业务服务通过所述数据总线从所述至少两个数据服务节点中获取与所述业务服务相关的数据；
    其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述系统之间的通信。
  18. 根据权利要求15至17中任一项所述的方法，其特征在于，所述系统根据所述业务服务与所述数据，向所述用户提供针对所述汽车诊断相关业务的 业务处理服务包括：
    所述系统根据所述业务服务与所述数据所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器；
    所述系统通过所述至少一个容器处理所述汽车诊断相关业务，以向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
  19. 根据权利要求15所述的方法，其特征在于，所述汽车诊断相关业务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
  20. 一种业务实现方法，其特征在于，所述方法由权利要求8至14中任一项所述的系统执行，所述方法包括：
    所述系统通过所述应用层接收用户针对汽车诊断相关业务的处理需求；
    所述系统根据所述汽车诊断相关业务所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器；
    所述系统通过所述至少一个容器处理所述汽车诊断相关业务，以向所述用户提供针对所述汽车诊断相关业务的业务处理服务。
  21. 根据权利要求20所述的方法，其特征在于，所述系统根据所述汽车诊断相关业务所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器包括：
    所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务；
    所述系统通过所述数据总线获取与所述业务服务相关的数据；
    所述系统根据所述业务服务与所述数据所需的处理资源，通过所述容器管理平台为所述汽车诊断相关业务分配至少一个容器。
  22. 根据权利要求21所述的方法，其特征在于，所述系统通过所述业务总线获取所述汽车诊断相关业务的业务服务包括：
    所述系统通过所述业务总线连接至少两个业务服务节点；
    所述系统根据所述汽车诊断相关业务通过所述业务总线从所述至少两个业务服务节点中获取所述汽车诊断相关业务的业务服务；
    其中，所述至少两个业务服务节点中存在属于汽车诊断相关的不同类型的业务系统的业务服务节点，所述业务总线支持至少两个业务通信协议，以支持所述至少两个业务服务节点与所述系统之间的通信。
  23. 根据权利要求21所述的方法，其特征在于，所述系统通过所述数据总线获取与所述业务服务相关的数据包括：
    所述系统通过所述数据总线连接至少两个数据服务节点；
    所述系统根据所述业务服务通过所述数据总线从所述至少两个数据服务节点中获取与所述业务服务相关的数据；
    其中，所述数据总线支持至少两个数据通信协议，以支持所述至少两个数据服务节点与所述系统之间的通信。
  24. 根据权利要求20至23中任一项所述的方法，其特征在于，所述汽车诊断相关业务包括汽车诊断、汽车配件的推荐与销售、汽车保险、汽车残值评估以及汽车金融。
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