Automobile Diagnosis Data Routing for Cloud Record Retention
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Solution Overview
Problem
The limited local storage capacity of automobile diagnosis devices leads to the easy loss of diagnosis history records, affecting their performance and the ability to quickly retrieve diagnosis results.
Innovation Solution
Diagnosis data is divided into two types (diagnosis history records and analysis data) and encapsulated into interface data formats, which are then sent to a server for storage in different cloud databases through various interfaces, ensuring that diagnosis history records are securely stored and retrievable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If diagnosis data is stored locally in the diagnosis device, then quick retrieval of diagnosis results is enabled, but the limited storage capacity causes loss of diagnosis history records
Solution Approach 1:
The patent segments the storage system into two parts: local storage in the diagnosis device for recent records and cloud storage on the server for historical records. This segmentation allows the system to maintain both quick local access and extensive storage capacity, resolving the contradiction between storage capacity and retrieval speed.
Solution Approach 2:
The patent introduces a server as an intermediary between the diagnosis device and cloud storage. The server receives diagnosis data from the device, manages cloud storage, and enables historical record retrieval. This intermediary solution allows the diagnosis device to maintain limited local storage while accessing extensive cloud-based storage capacity.
2Quantity of substance
If all diagnosis data is stored in the cloud, then storage capacity is sufficient, but retrieval speed may be reduced due to network dependency
Solution Approach 1:
The patent segments data storage between local and cloud based on data type and access frequency. Recent and frequently accessed diagnosis records are stored locally for rapid retrieval, while historical and less frequently accessed records are stored in the cloud. This segmentation strategy balances storage capacity with retrieval speed by placing different data in optimal locations.
Solution Approach 2:
The patent implements preliminary local storage of recent diagnosis records before they are archived to the cloud. This preliminary action ensures that frequently needed data is already available locally for immediate retrieval, reducing network dependency and retrieval time for common operations.
3Productivity
If diagnosis data is divided and sent through different interfaces, then data management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments diagnosis data into different types (e.g., recent records, historical records, analysis data) and routes them through different interfaces to the server. This segmentation improves data management efficiency by allowing specialized processing of different data types while maintaining a clear organizational structure that manages the complexity.
Data Source
AI summary
Embodiments of the present invention relate to a method and an apparatus for processing diagnosis data, a diagnosis device and a server. The method includes: dividing diagnosis data into at least two types of data; respectively encapsulating the at least two types of data into at least two pieces of interface data according to interface data formats; and sending the at least two pieces of interface data to a server respectively through different interfaces, to cause the server to respectively store the at least two pieces of interface data in different cloud databases. In the embodiments of the present invention, diagnosis data is divided into at least two types of data. The at least two types of data are respectively encapsulated into at least two pieces of interface data. The at least two pieces of interface data are sent to the server respectively through different interfaces. In this way, a problem of easily causing loss of a diagnosis history record due to a limited local storage capacity of an automobile diagnosis device can be avoided.