Remote Automobile Diagnostic Protocol Data Generation
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Solution Overview
Problem
Current remote automobile diagnostic methods are limited by their poor scalability due to the need for redefining protocol data and reprocessing data at both ends, which restricts the ability to add new functions and synchronize actions effectively.
Innovation Solution
A method and apparatus that allow for the generation of identifiable data and protocol data on the controlled end, which is then sent to the controlling end, enabling automatic parsing and interface generation, allowing for synchronized actions and improved scalability by eliminating the need for reprocessing and reparsing of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predefined protocol data is used for remote automobile diagnosis, then basic diagnosis functions can be implemented, but scalability is poor because new functions require redefining protocol data and reprocessing at both ends
Solution Approach 1:
The patent introduces an intermediary data processing layer that automatically generates and transforms protocol data. Instead of manually redefining protocols for new functions, the system uses an intermediary mechanism that converts interface definitions into executable protocol data, eliminating the need for manual protocol reconfiguration at both controlling and controlled ends.
Solution Approach 2:
The system implements self-service by enabling automatic generation of protocol data and interface definitions. When a new diagnosis function is added, the system automatically generates the necessary protocol data and processing logic without requiring manual intervention to redefine protocols or reprocess existing data structures.
2Adaptability or versatility
If protocol data is redefined for new functions, then new diagnosis capabilities can be added, but both controlling end and controlled end need to reprocess and reparse data
Solution Approach 1:
The patent applies preliminary action by pre-generating and caching protocol data templates and interface definitions. When a new function is added, the system uses pre-established patterns to automatically generate the necessary protocol data without requiring real-time reprocessing of existing data structures, thus reducing processing time.
Solution Approach 2:
The system uses copying by creating reusable protocol data templates and interface definition copies. Instead of manually redefining protocols for each new function, the system copies existing validated protocol structures and adapts them to new requirements, avoiding redundant data processing and parsing operations.
3Reliability
If manual protocol data redefinition is used, then precise control over data format is achieved, but all actions cannot be synchronized from controlling end to controlled end
Solution Approach 1:
The patent implements feedback mechanisms that automatically verify and synchronize protocol data between controlling and controlled ends. The system includes feedback loops that detect synchronization issues and automatically adjust protocol data transmission, ensuring reliable data synchronization without requiring complex manual coordination.
Solution Approach 2:
The system achieves universality by creating a multi-functional protocol data generation mechanism that handles both existing and new diagnosis functions through a unified interface. This universal approach allows the same protocol framework to support multiple diagnosis capabilities without requiring separate manual configuration for each function, thereby improving operational simplicity while maintaining synchronization reliability.
Data Source
AI summary
Embodiments of the present invention relate to the field of automobile diagnosis technologies, and disclose a remote automobile diagnostic method and apparatus, a mobile terminal, an electronic device and a server. A controlled end of remote automobile diagnosis may automatically generate protocol data and send the protocol data to a controlling end; or the controlling end of the remote automobile diagnosis may parse the protocol data, generate an interface associated with a user interface of the controlled end, then receive an interface operation instruction, and generate action data according to the interface operation instruction and send the action data to the controlled end. In this way, a local diagnosis function is added to the controlling end, so that a remote diagnosis function is implemented accordingly, which has favorable scalability.