Telematics Query Filtering for Accurate Vehicle Category Identification
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Solution Overview
Problem
Existing telematics systems face inefficiencies due to error-causing queries that interfere with the accurate identification of vehicle categories, leading to operational disruptions and suboptimal data collection.
Innovation Solution
A method involving a telematics server that filters out error-causing queries, identifies a single valid category by iteratively refining a list of queries, and executes specific data requests to accurately categorize assets without operational interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If category identifying queries are executed on all asset categories to identify vehicle type, then measurement precision of asset category is improved, but object-affected harmful factors increase due to error-causing queries interfering with operational processes
Solution Approach 1:
The patent extracts and removes error-causing queries from the main list of category identifying queries. By identifying queries that cause operational interference and excluding them from execution, the system maintains high category identification accuracy while eliminating harmful effects on asset operations.
Solution Approach 2:
The patent performs preliminary identification of error-causing queries before executing the category identification process. By pre-analyzing which queries may cause operational interference and removing them in advance, the system prevents harmful effects before they occur while still achieving accurate asset categorization.
2Reliability
If iterative refinement of query list is performed to exclude error-causing queries, then reliability of data collection is improved, but loss of time increases due to multiple execution cycles
Solution Approach 1:
The patent performs preliminary identification and removal of error-causing queries from the main list before the iterative refinement process begins. This pre-processing step reduces the number of queries that need to be tested and refined iteratively, thereby maintaining high data collection reliability while minimizing the time loss associated with multiple execution cycles.
3Quantity of substance
If comprehensive asset data queries are executed to gather information, then quantity of collected data is improved, but object-affected harmful factors increase due to operational interference
Solution Approach 1:
The patent extracts and removes error-causing queries from the comprehensive asset data query set. By identifying and excluding queries that cause operational interference while retaining beneficial data collection queries, the system maintains comprehensive data gathering capabilities without introducing harmful effects on asset operations.
Data Source
AI summary
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 identifying an asset category of a plurality of asset categories. The telematics server identifies 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, by the telematics device, category identifying asset data queries.