Telematics Terminal Vehicle State Accumulation for Diagnosis
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Solution Overview
Problem
Conventional vehicle remote diagnosing systems using sensors can only detect basic vehicle states, making it difficult to diagnose detailed issues such as continuous power reduction, which hinders weariness or breakdown prevention.
Innovation Solution
A telematics system with a telematics terminal that measures and transmits vehicle state information cyclically to a telematics center for analysis and diagnosis, using a vehicle diagnosis database to generate and transmit management information, including detailed diagnosis and countermeasures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle state is diagnosed using only sensor data, then basic vehicle states (door/window opening, oil levels) can be detected, but detailed vehicle states (continuous power reduction) cannot be diagnosed
Solution Approach 1:
The system performs preliminary actions by cyclically measuring and accumulating vehicle state information over time before diagnosis is needed. The telematics terminal continuously collects data including sensor readings, driver operation patterns, and vehicle performance parameters, storing them in a database for later analysis. This preliminary data accumulation enables detailed diagnosis of conditions like continuous power reduction that cannot be detected by single-point sensor checks.
Solution Approach 2:
The invention adds temporal and behavioral dimensions to vehicle state monitoring. Instead of only spatial/sensor-based detection, the system incorporates time-series data accumulation and driver operation pattern analysis. This multi-dimensional approach transforms basic sensor data into comprehensive vehicle health information by analyzing trends, variations, and correlations across multiple parameters over time.
2Reliability
If comprehensive vehicle state information is accumulated and analyzed, then detailed diagnosis and breakdown prevention become possible, but system complexity increases
Solution Approach 1:
The system segments the vehicle management function into distinct modular components: the telematics terminal for data collection and transmission, the communication network for data transfer, and the server system for data storage, analysis, and diagnosis. Each component performs a specific function, making the overall complex system manageable and maintainable while achieving comprehensive vehicle state monitoring and accurate diagnosis.
3Loss of time
If vehicle state information is transmitted frequently for real-time monitoring, then diagnosis timeliness improves, but communication energy consumption increases
Solution Approach 1:
The telematics terminal performs periodic measurements of vehicle state information at predetermined intervals rather than continuously transmitting data. The system accumulates data over time and transmits accumulated information batches to the server, reducing communication frequency while maintaining effective monitoring capability. This periodic action reduces energy consumption compared to continuous real-time transmission.
Solution Approach 2:
The system enables self-service by having the telematics terminal autonomously determine when transmission is necessary based on accumulated data thresholds or detected anomalies. The terminal can identify significant changes in vehicle state patterns and trigger transmissions only when needed, rather than following rigid scheduled communications, thereby reducing unnecessary energy expenditure while maintaining timely diagnosis capability.
Data Source
AI summary
A vehicle management system and method in a telematics system. The vehicle management system includes: a telematics terminal for measuring a vehicle state at each first period, accumulating and storing the measured vehicle state during a second period, and transmitting accumulated and stored accumulation vehicle state information; and a telematics center connected with the telematics terminal, and receiving the accumulation vehicle state information from the telematics terminal, storing the received accumulation vehicle state information, checking a variation progress of state values of each vehicle part of the received accumulation vehicle state information and searching for corresponding diagnosis information, and generating and transmitting vehicle management information to the telematics terminal.