CN114265386B - SOA-based application service diagnosis architecture and method - Google Patents
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Abstract
The invention relates to an SOA-based application service diagnosis architecture and a method, wherein the diagnosis architecture comprises a C2 chip and a cloud end, and the C2 chip comprises a C2-SOC module, a vehicle end diagnosis SDK module and a C2-MCU module; the C2-SOC module is provided with a CNIX system, an application health management program and a plurality of vehicle-end service applications are run in the CNIX system, and a diagnosis module-MPU is integrated on the C2-SOC module; the vehicle-end diagnosis SDK module integrates diagnosis SDKs in the application health management program and the plurality of vehicle-end service applications; each application performs self diagnosis through the corresponding diagnosis SDK and generates fault information, and meanwhile, the fault information is transmitted to a diagnosis module-MPU; the invention redefines the vehicle end diagnosis mode based on the typical SOA architecture in recent years in the IT industry, is beneficial to realizing various remote diagnosis and pre-diagnosis functions, and can effectively reduce the complexity caused by architecture upgrading; therefore, the problem that the traditional vehicle fault diagnosis technology or method is difficult to acquire the vehicle end fault information and find the fault reason is solved, and the vehicle fault diagnosis method has a good vehicle fault diagnosis effect.
Description
Technical Field
The invention belongs to the technical field of automobile diagnosis, and particularly relates to an application service diagnosis architecture and method based on an SOA.
Background
The vehicle fault diagnosis technology plays an important role in ensuring the normal operation of the automobile, and the application research of the vehicle remote fault diagnosis technology is more and more in depth. The traditional vehicle fault diagnosis technology has the defects of poor reusability, difficult call of heterogeneous platforms, poor interoperability and the like; with the continuous improvement of the intelligent and electronic degree of automobiles, new requirements are also provided for the vehicle fault diagnosis technology, such as easy expansion, flexible combination of functions, cross-heterogeneous platform state monitoring and fault diagnosis, etc., which are not satisfied by the traditional method.
The Service-oriented architecture (SOA) technology that has emerged in recent years offers the possibility to solve the above problems. The SOA architecture is an architecture block diagram, which can link different functional units of an application program through well-defined contracts or strategies, and the SOA has obvious advantages of loose coupling, interoperability and the like. The SOA architecture is only applied to data monitoring and management of large-scale factories at present, such as a thermal power plant environment monitoring system and method based on the SOA architecture, which is disclosed in chinese patent CN201510615632.3, and there is no vehicle fault diagnosis technology or method based on the SOA architecture.
At present, most of the vehicle fault diagnosis technologies or methods focus on upgrading and installing of vehicle end software, such as upgrading methods and installing of Chinese patent CN201910676287.2 automobile diagnosis software, servers and automobile diagnosis equipment, and the following technologies are proposed: and acquiring one ECU system contained in a vehicle type of the vehicle diagnosis software to be upgraded, and directly packaging all the ECU diagnosis data of the corresponding target version and generating a vehicle diagnosis software upgrading packet according to whether the ECU diagnosis data have the ECU diagnosis data of the corresponding target version of each ECU system or not and if so. However, the automobile diagnosis method only forms a specific solution for the situation that the automobile end software needs to be upgraded, and does not diagnose the faults of the automobile end software, such as software compatibility, system configuration, operating system faults and the like.
Therefore, designing a vehicle diagnosis method that can quickly acquire failure information of vehicle-end software and find a failure cause is an urgent problem to be solved.
Disclosure of Invention
Aiming at the defects in the prior art, the technical problem to be solved by the invention is to provide an application service diagnosis architecture and method based on an SOA, solve the problem that the traditional vehicle fault diagnosis technology or method is difficult to acquire vehicle software fault information and find a fault reason, and obtain the effect of strong vehicle fault diagnosis capability.
In order to solve the technical problems, the invention adopts the following technical scheme:
the application service diagnosis architecture based on the SOA comprises a C2 chip and a cloud end, wherein the C2 chip comprises a C2-SOC module, a vehicle end diagnosis SDK module and a C2-MCU module.
Further, the C2-SOC module is loaded with a CNIX system, and an application health management program and a plurality of vehicle-end service applications are run in the CNIX system; the C2-SOC module is also integrated with a diagnosis module-MPU.
Further, the function of the vehicle-end diagnosis SDK module is as follows: 1) Unifying diagnosis specifications of various fault information, and 2) integrating diagnosis SDK in application health management program and the plurality of vehicle-end service applications.
Further, the application health management program and the plurality of vehicle-side service applications perform self diagnosis through the corresponding diagnosis SDKs and generate fault information, and meanwhile, the fault information is transmitted to the diagnosis module-MPU.
Further, the diagnostic module-MPU mounts the QNX system and realizes the following functions: 1) transmitting fault information to the C2-MCU module in a penetrating way, 2) performing diagnosis management, 3) receiving the fault information and uploading the fault information to the cloud, 4) receiving data fed back by an application health management program and uploading the data to the cloud, and 5) synchronizing the fault information on the C2-SOC module, the vehicle end diagnosis SDK module and the C2-MCU module.
Further, the function of the C2-MCU module is as follows: 1) self-diagnosis, 2) external diagnosis service providing, 3) receiving the transmitted fault information and correspondingly generating a DTC code, and 4) storing the DTC code and uploading the DTC code to a cloud.
Further, the operation steps of the vehicle-end diagnosis SDK module are as follows:
1) Defining a category of fault information;
2) A diagnostic specification for fault information is defined.
Further, the categories of the fault information include: software compatibility failures, system configuration failures, and operating system failures.
Further, the diagnostic specification defining the fault information is specifically: and acquiring an application name, fault time, fault format, fault content and uploading mode.
The invention also comprises an application service diagnosis method based on the SOA, which uses the application service diagnosis framework based on the SOA and comprises the following steps:
1) Presetting a vehicle data embedding point;
2) The C2-MCU module receives buried point data from a vehicle data buried point;
3) C2-MCU module processes the buried point data to obtain result data;
4) Storing the result data in a ROM in the C2-MCU module;
5) And packaging the result data according to a preset protocol and transmitting the result data to the cloud.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention redefines the vehicle end diagnosis mode based on the typical SOA architecture in recent years in the IT industry, and the diagnosis architecture and the diagnosis method are beneficial to realizing various remote diagnosis and pre-diagnosis functions and can effectively reduce the complexity caused by architecture upgrading; therefore, the method solves the problem that the traditional vehicle fault diagnosis technology or method is difficult to acquire the vehicle software fault information and find the fault cause, and has a good vehicle fault diagnosis effect.
2. The invention introduces the diagnosis SDK into the diagnosis framework, can strip the function of the application which is singly accessed from the application, provides the function for common components used by all other applications, and can reconstruct and iterate on the basis.
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FIG. 1 is a schematic diagram of an overall architecture of SOC diagnostics according to an embodiment;
FIG. 2 is a flow chart of an exemplary SOA-based application service diagnostic architecture and method.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
Examples:
referring to fig. 1, an application service diagnosis architecture based on an SOA includes a C2 chip and a cloud, wherein the C2 chip includes a C2-SOC module, a vehicle-end diagnosis SDK module and a C2-MCU module.
The C2 chip is a vehicle end domain controller and comprises a vehicle control domain and a driving domain;
the cloud end refers to a remote internet server, data of a vehicle end are uploaded to the cloud end through an internet technology, and the cloud end performs analysis and calculation based on the uploaded data, so that the purpose of diagnosis is achieved.
The C2-SOC module is provided with a CNIX system, and an application health management program and a plurality of vehicle-end service applications are run in the CNIX system; the C2-SOC module is also integrated with a diagnosis module-MPU;
the function of the vehicle end diagnosis SDK module is as follows: 1) Unifying diagnosis specifications of various fault information, 2) integrating diagnosis SDK in application health management program and the plurality of vehicle-end service applications;
the operation steps of the vehicle-end diagnosis SDK module are as follows:
1) Defining a category of fault information;
therefore, various fault information is effectively managed, and the fault information is divided into three types of software compatible faults, system configuration faults and operating system faults; the software compatibility failure refers to a failure caused by incompatibility of the application software and the operating system, the system configuration failure refers to a failure caused by modification of the operating system or configuration options of the application software, and the operating system failure refers to a failure caused by improper actions such as deleting files or illegal operations, etc., so that the program cannot run.
2) A diagnostic specification for fault information is defined.
The diagnosis specification of the fault information is defined to enable the fault information reported by the application program to be uniformly identified and managed, specifically: acquiring an application name, fault time, fault format, fault content and uploading mode; the uploading mode can comprise active uploading and active pulling.
The application health management program and the plurality of vehicle-side service applications perform self diagnosis through the corresponding diagnosis SDKs and generate fault information, and meanwhile, the fault information is transmitted to the diagnosis module-MPU.
The diagnostic module-MPU carries a QNX system and realizes the following functions: 1) transmitting fault information to the C2-MCU module in a penetrating way, 2) performing diagnosis management, 3) receiving the fault information and uploading the fault information to the cloud, 4) receiving data fed back by an application health management program and uploading the data to the cloud, and 5) synchronizing the fault information on the C2-SOC module, the vehicle end diagnosis SDK module and the C2-MCU module.
In addition, the functions of the C2-MCU module are as follows: 1) self-diagnosis, 2) external diagnosis service providing, 3) receiving the transmitted fault information and correspondingly generating a DTC code, 4) storing the DTC code and uploading the DTC code to a cloud; wherein, providing the diagnosis service externally means that C2 supports the diagnosis instrument to perform local diagnosis through the module.
The invention redefines the vehicle end diagnosis mode based on the typical SOA architecture in recent years in the IT industry, and the diagnosis architecture and the diagnosis method are beneficial to realizing various remote diagnosis and pre-diagnosis functions and can effectively reduce the complexity caused by architecture upgrading; therefore, the problem that the traditional vehicle fault diagnosis technology or method is difficult to acquire vehicle end fault information and find a fault reason is solved, and a good vehicle fault diagnosis effect is achieved; and the diagnostic SDK is introduced into the diagnostic framework, so that the functions of the application which is singly accessed can be stripped from the application, and the functions are provided for common components used by all other applications, and simultaneously, reconstruction and iteration can be performed on the basis.
Referring to fig. 2, an application service diagnosis method based on an SOA, which uses the above application service diagnosis architecture based on an SOA, includes the following steps:
1) Presetting a vehicle data embedding point;
2) The C2-MCU module receives buried point data from a vehicle data buried point;
3) The C2-MCU module is integrated with a data processing module, and the data processing module processes buried point data in batches according to logic and obtains result data;
4) The C2-MCU module is integrated with a data storage module, and the result data is stored in a ROM of the data storage module;
5) And the C2-MCU module is integrated with a data transmission module, and the result data are packaged according to a preset protocol and transmitted to the cloud.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (7)
1. An application service diagnosis architecture based on an SOA, characterized in that: the system comprises a C2 chip and a cloud end, wherein the C2 chip comprises a C2-SOC module, a vehicle end diagnosis SDK module and a C2-MCU module;
the C2-SOC module is provided with a CNIX system, and an application health management program and a plurality of vehicle-end service applications are run in the CNIX system; the C2-SOC module is also integrated with a diagnosis module-MPU;
the functions of the vehicle-end diagnosis SDK module are as follows: 1) Unifying diagnosis specifications of various fault information, 2) integrating diagnosis SDK in application health management program and the plurality of vehicle-end service applications;
and the application health management program and the plurality of vehicle-side service applications perform self diagnosis through the corresponding diagnosis SDKs and generate fault information, and meanwhile, the fault information is transmitted to the diagnosis module-MPU.
2. The SOA based application service diagnostic architecture of claim 1, wherein: the diagnostic module-MPU carries a QNX system and realizes the following functions: 1) transmitting fault information to the C2-MCU module in a penetrating way, 2) performing diagnosis management, 3) receiving the fault information and uploading the fault information to the cloud, 4) receiving data fed back by an application health management program and uploading the data to the cloud, and 5) synchronizing the fault information on the C2-SOC module, the vehicle end diagnosis SDK module and the C2-MCU module.
3. The SOA based application service diagnostic architecture of claim 2, wherein: the functions of the C2-MCU module are as follows: 1) self-diagnosis, 2) external diagnosis service providing, 3) receiving the transmitted fault information and correspondingly generating a DTC code, and 4) storing the DTC code and uploading the DTC code to a cloud.
4. The SOA based application service diagnostic architecture of claim 1, wherein: the operation steps of the vehicle-end diagnosis SDK module are as follows:
1) Defining a category of fault information;
2) A diagnostic specification for fault information is defined.
5. The SOA based application service diagnostic architecture of claim 4, wherein: the categories of fault information include: software compatibility failures, system configuration failures, and operating system failures.
6. The SOA based application service diagnostic architecture of claim 4, wherein: the diagnostic specifications defining the fault information are specifically: and acquiring an application name, fault time, fault format, fault content and uploading mode.
7. An application service diagnosis method based on SOA is characterized in that: the diagnostic method using an SOA-based application service diagnostic architecture as claimed in claim 3, comprising the steps of:
1) Presetting a vehicle data embedding point;
2) The C2-MCU module receives buried point data from a vehicle data buried point;
3) C2-MCU module processes the buried point data to obtain result data;
4) Storing the result data in a ROM in the C2-MCU module;
5) And packaging the result data according to a preset protocol and transmitting the result data to the cloud.
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| CN114844930B (en) * | 2022-04-21 | 2023-06-06 | 重庆长安汽车股份有限公司 | Vehicle-end remote control method and system based on SOA architecture |
| CN114816508B (en) * | 2022-04-29 | 2024-07-12 | 重庆长安汽车股份有限公司 | System and method for managing service list of whole vehicle service-oriented architecture |
| CN114839959B (en) * | 2022-05-30 | 2024-09-20 | 重庆长安汽车股份有限公司 | Vehicle remote diagnosis method and system based on SOA service |
| CN115225449A (en) * | 2022-06-08 | 2022-10-21 | 广州汽车集团股份有限公司 | Message reporting method and system for SOA service oriented interface |
| CN115426397B (en) * | 2022-11-07 | 2023-03-24 | 蔚来汽车科技(安徽)有限公司 | Service-oriented system for microcontroller MCU and electronic and electrical system |
| CN115914302A (en) * | 2022-11-29 | 2023-04-04 | 重庆长安汽车股份有限公司 | Vehicle end and cloud end communication method and device based on SOA (service oriented architecture) and storage medium |
| CN116737475A (en) * | 2023-05-29 | 2023-09-12 | 中国第一汽车股份有限公司 | Chip diagnosis method, device, equipment and storage medium |
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