CN114265386A - SOA-based application service diagnosis framework and method - Google Patents
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Abstract
The invention relates to an application service diagnosis framework and a method based on SOA, wherein the diagnosis framework 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 loaded with a CNIX system, an application health management program and a plurality of vehicle-side service applications run in the CNIX system, and a diagnosis module-MPU is further 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 carries out self-diagnosis through the corresponding diagnosis SDK and generates fault information, and simultaneously transmits the fault information 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 conventional vehicle fault diagnosis technology or method is difficult to acquire vehicle end fault information and find out 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 framework and method based on SOA.
Background
The vehicle fault diagnosis technology plays an important role in ensuring normal work of the automobile, and application research aiming at the vehicle remote fault diagnosis technology is more and more deep. The traditional vehicle fault diagnosis technology has the defects of poor reusability, difficult calling of a heterogeneous platform, poor interoperability and the like; with the continuous improvement of the intelligent and electronic degree of automobiles, new requirements on vehicle fault diagnosis technology are provided, such as easy expansion, flexible combination of functions, cross-heterogeneous platform state monitoring and fault diagnosis, and the like, which cannot be met by the traditional method.
Service-Oriented Architecture (SOA) technology, which has emerged in recent years, offers the possibility of solving the above problems. The SOA architecture is an architecture 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. However, the SOA architecture is only applied to data monitoring and management of large-scale factories, for example, chinese patent CN201510615632.3 is a thermal power plant environment monitoring system and method based on the SOA architecture, and there is no vehicle fault diagnosis technology or method based on the SOA architecture.
Most of the existing vehicle fault diagnosis technologies or methods concern upgrading and device of vehicle-end software, for example, the upgrading method, device, server and vehicle diagnosis software of chinese patent CN201910676287.2, the following technologies are proposed: acquiring an ECU system contained in the vehicle type of the automobile diagnosis software needing to be upgraded, and directly packaging all ECU diagnosis data of the corresponding target version and generating an automobile diagnosis software upgrading package if the ECU diagnosis data of the target version corresponding to each ECU system exists. However, the automobile diagnosis method only forms a specific solution for the condition that the automobile end software needs to be upgraded, and does not diagnose the fault of the automobile end software, such as software compatibility, system configuration, operating system fault and the like.
Therefore, designing a vehicle diagnosis method capable of rapidly acquiring vehicle-end software fault information and finding a fault reason is an urgent problem to be solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an application service diagnosis framework and method based on SOA (service oriented architecture), solve the problem that the fault information of vehicle-end software is difficult to obtain and the fault reason is difficult to find by the traditional vehicle fault diagnosis technology or method, and achieve the effect of strong vehicle fault diagnosis capability.
In order to solve the technical problems, the invention adopts the following technical scheme:
an application service diagnosis framework based on an SOA comprises a C2 chip and a cloud, wherein the C2 chip comprises a C2-SOC module, a vehicle-side 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-side service applications 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 diagnostic specifications of various types of fault information, and 2) integrating diagnostic SDKs in the application health management program and the plurality of vehicle-side service applications.
Further, the application health management program and the vehicle-side service applications carry out self diagnosis through the corresponding diagnosis SDK and generate fault information, and meanwhile, the fault information is transmitted to the diagnosis module-MPU.
Further, the diagnostic module-MPU implements the QNX system and implements the following functions: 1) transmitting fault information to a C2-MCU module, 2) carrying out diagnosis management, 3) receiving the fault information and uploading the fault information to a 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 is provided, 3) transparent fault information is received and DTC codes are correspondingly generated, and 4) the DTC codes are stored and uploaded to the cloud.
Further, the operation steps of the vehicle end diagnosis SDK module are as follows:
1) defining the category of fault information;
2) a diagnostic specification for the 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, a fault format, fault content and an uploading mode.
The invention also comprises an SOA-based application service diagnosis method, which uses the SOA-based application service diagnosis architecture and comprises the following steps:
1) presetting vehicle data buried points;
2) the C2-MCU module receives buried point data from vehicle data buried points;
3) C2-MCU module processes the buried point data and obtains result data;
4) storing the result data in a ROM in the C2-MCU module;
5) and encapsulating 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, is beneficial to realizing various remote diagnosis and pre-diagnosis functions by the diagnosis architecture and the diagnosis method, and can effectively reduce the complexity caused by architecture upgrading; therefore, the problem that the fault information of the vehicle-end software is difficult to obtain and the fault reason is difficult to find by the traditional vehicle fault diagnosis technology or method is solved, and the vehicle fault diagnosis method 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 accessed independently from the application, provides the function for the common component used by all other applications, and can carry out reconstruction and iteration on the basis.
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FIG. 1 is a schematic diagram of an overall SOC diagnostic architecture according to an embodiment;
fig. 2 is a flowchart of an SOA-based application service diagnosis architecture and method according to an embodiment.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Example (b):
referring to fig. 1, an application service diagnosis architecture based on an SOA includes a C2 chip and a cloud, and a C2 chip includes a C2-SOC module, a vehicle-side 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 is a remote internet server, data of the vehicle end is uploaded to the cloud through the internet technology, and the cloud carries out analysis and calculation based on the uploaded data to achieve the purpose of diagnosis.
The C2-SOC module is loaded with a CNIX system, and an application health management program and a plurality of vehicle-side service applications run in the CNIX system; the C2-SOC module is also integrated with a diagnosis module-MPU;
the vehicle-end diagnosis SDK module has the following functions: 1) unifying the diagnosis specifications of various fault information, 2) integrating diagnosis SDKs in the application health management program and the plurality of vehicle-side service applications;
the operation steps of the vehicle end diagnosis SDK module are as follows:
1) defining the category of fault information;
therefore, various fault information is effectively managed, and the fault information is divided into three types, namely software compatible fault, system configuration fault and operating system fault; the software compatibility fault refers to a fault caused by incompatibility of application software and an operating system, the system configuration fault refers to a fault caused by modification of the operating system or configuration options of the application software, and the operating system fault refers to a fault that a program cannot run due to improper behaviors such as file deletion by mistake or illegal operation.
2) A diagnostic specification for the fault information is defined.
The diagnostic specification of the fault information is defined to enable the fault information reported by the application program to be uniformly identified and managed, and specifically comprises the following steps: acquiring an application name, fault time, a fault format, fault content and an 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 carry out self diagnosis through the corresponding diagnosis SDK and generate fault information, and meanwhile, the fault information is transmitted to the diagnosis module-MPU.
The diagnostic module-MPU implements the QNX system and implements the following functions: 1) transmitting fault information to a C2-MCU module, 2) carrying out diagnosis management, 3) receiving the fault information and uploading the fault information to a 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 function of the C2-MCU module is as follows: 1) self-diagnosis, 2) providing diagnosis service to the outside, 3) receiving the fault information transmitted through and correspondingly generating a DTC code, and 4) storing the DTC code and uploading the DTC code to the cloud; wherein, providing the external diagnostic service means that the C2 supports the diagnostic apparatus 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, is beneficial to realizing various remote diagnosis and pre-diagnosis functions by the diagnosis architecture and the diagnosis method, and can effectively reduce the complexity caused by architecture upgrading; therefore, the problem that the conventional vehicle fault diagnosis technology or method is difficult to acquire vehicle end fault information and find out the fault reason is solved, and the vehicle fault diagnosis method has a good vehicle fault diagnosis effect; and the diagnostic SDK is introduced into the diagnostic architecture, so that the functions of the application which is accessed independently can be stripped from the application and provided for common components used by all other applications, and meanwhile, reconstruction and iteration can be carried out on the basis.
Referring to fig. 2, a method for diagnosing an application service based on an SOA, using the above-mentioned SOA-based application service diagnostic architecture, includes the following steps:
1) presetting vehicle data buried points;
2) the C2-MCU module receives buried point data from vehicle data buried points;
3) the C2-MCU module is integrated with a data processing module, and the data processing module processes the 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 the ROM of the data storage module;
5) and the C2-MCU module is integrated with a data transmission module, encapsulates the result data according to a preset protocol and transmits the result data to the cloud.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, 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 or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (10)
1. An SOA-based application service diagnostic architecture, characterized by: the system comprises a C2 chip and a cloud, wherein the C2 chip comprises a C2-SOC module, a vehicle-end diagnosis SDK module and a C2-MCU module.
2. An SOA-based application service diagnosis architecture as claimed in claim 1, wherein: the C2-SOC module is loaded with a CNIX system, and an application health management program and a plurality of vehicle-side service applications run in the CNIX system; the C2-SOC module is also integrated with a diagnosis module-MPU.
3. An SOA-based application service diagnosis architecture as claimed in claim 2, wherein: the function of the vehicle end diagnosis SDK module is as follows: 1) unifying diagnostic specifications of various types of fault information, and 2) integrating diagnostic SDKs in the application health management program and the plurality of vehicle-side service applications.
4. An SOA-based application service diagnosis architecture as claimed in claim 3, wherein: and the application health management program and the plurality of vehicle-side service applications carry out self diagnosis through the corresponding diagnosis SDK and generate fault information, and simultaneously transmit the fault information to a diagnosis module-MPU.
5. An SOA-based application service diagnostic framework as claimed in claim 4, characterized in that: the diagnostic module-MPU implements the QNX system and implements the following functions: 1) transmitting fault information to a C2-MCU module, 2) carrying out diagnosis management, 3) receiving the fault information and uploading the fault information to a 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.
6. An SOA-based application service diagnosis architecture as claimed in claim 5, wherein: the function of the C2-MCU module is as follows: 1) self-diagnosis, 2) external diagnosis service is provided, 3) transparent fault information is received and DTC codes are correspondingly generated, and 4) the DTC codes are stored and uploaded to the cloud.
7. An SOA-based application service diagnosis architecture as claimed in claim 3, wherein: the operation steps of the vehicle end diagnosis SDK module are as follows:
1) defining the category of fault information;
2) a diagnostic specification for the fault information is defined.
8. An SOA-based application service diagnosis architecture as claimed in claim 7, wherein: the categories of the failure information include: software compatibility failures, system configuration failures, and operating system failures.
9. An SOA-based application service diagnosis architecture as claimed in claim 7, wherein: the diagnostic specification for defining the fault information is specifically as follows: and acquiring an application name, fault time, a fault format, fault content and an uploading mode.
10. An SOA-based application service diagnosis method is characterized in that: the diagnosis method using an SOA-based application service diagnosis architecture as claimed in claim 6, comprising the steps of:
1) presetting vehicle data buried points;
2) the C2-MCU module receives buried point data from vehicle data buried points;
3) C2-MCU module processes the buried point data and obtains result data;
4) storing the result data in a ROM in the C2-MCU module;
5) and encapsulating the result data according to a preset protocol and transmitting the result data to the cloud.
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| CN114844930A (en) * | 2022-04-21 | 2022-08-02 | 重庆长安汽车股份有限公司 | Vehicle-end remote control method and system based on SOA architecture |
| CN114839959A (en) * | 2022-05-30 | 2022-08-02 | 重庆长安汽车股份有限公司 | Vehicle remote diagnosis method and system based on SOA (service oriented architecture) service |
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| 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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