Telematics Vehicle Category Identification Without CAN Bus Interference
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Solution Overview
Problem
Existing telematics systems face challenges in accurately identifying the category of vehicles without causing operational interference, particularly due to error-prone data queries that can disrupt the vehicle's systems.
Innovation Solution
A method and system in a telematics system that involves identifying and removing error-causing queries, executing selected queries on a vehicle's CAN bus to determine the vehicle category accurately, and obtaining information without interfering with the vehicle's operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If category identifying asset data queries are executed on all asset categories to identify vehicle type, then measurement precision is improved, but object-affected harmful factors worsen due to error-causing queries disrupting vehicle systems
Solution Approach 1:
The system pre-identifies and removes error-causing queries from the main list before execution. By performing this filtering action in advance, the system ensures that only safe queries are executed on the vehicle's CAN bus, eliminating the harmful effect while maintaining identification accuracy through the remaining valid queries.
Solution Approach 2:
The system creates a temporary list that maintains the essential functionality of query execution while removing harmful elements. This intermediate structure allows the system to operate at a safe level, executing queries that have been proven not to cause errors, thus achieving both safety and functionality.
2Measurement precision
If multiple category identifying queries are executed to ensure accurate vehicle category identification, then measurement precision is improved, but loss of time increases due to iterative query execution and list management
Solution Approach 1:
The system performs the time-consuming task of identifying and removing error-causing queries in advance, before actual vehicle category identification is needed. This preliminary filtering reduces the query set to only safe, effective queries, so that subsequent identification operations are faster and more efficient.
Solution Approach 2:
The system extracts and removes ineffective and error-causing queries from the main list, creating a streamlined temporary list containing only useful queries. This extraction process eliminates wasted time on queries that would either fail or cause errors, improving overall identification efficiency.
3Adaptability or versatility
If a comprehensive list of category identifying queries is maintained to cover all vehicle categories, then adaptability is improved, but device complexity increases due to main list management and temporary list creation
Solution Approach 1:
The system segments the comprehensive query list into two distinct parts: a main list that maintains all possible queries for complete vehicle category coverage, and a temporary list that contains only the safe, filtered queries for actual execution. This segmentation allows the system to maintain adaptability while reducing operational complexity.
Solution Approach 2:
The system extracts error-causing queries from the main list and places them in a separate excluded set, creating a cleaner temporary list for execution. This extraction maintains the comprehensive coverage capability in the main list while simplifying the operational list used during actual vehicle identification.
Data Source
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AI summary
A method in a telematics system is provided. The method is for identifying an asset category of a plurality of asset categories. The method includes executing category identifying asset data queries after excluding error causing asset data requests from a main list and excluding asset categories from the main list based on the result of executing category identifying asset data queries. The steps are repeated until a single asset category remains in the main list. A telematics system including a telematics server, a telematics database coupled to the telematics server, a network, and a telematics device is provided, the telematics system configured for carrying out the method.