Telematics Query Filtering for Accurate Vehicle Category Identification

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Solution Overview

Problem

Existing telematics systems face inefficiencies in accurately identifying the category of vehicles or assets due to error-causing queries, leading to operational interference and suboptimal data collection.

Innovation Solution

A method involving a telematics server that filters out error-causing queries, selects and executes category identifying queries, and iteratively refines the list until a single category is determined, allowing for accurate vehicle or asset categorization without interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If category identifying queries are executed on all asset categories to ensure comprehensive identification, then measurement precision is improved, but operational interference increases due to error-causing queries

Engineering Contradiction:

Improvevehicle category identification accuracyVSAvoidoperational interference

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts and removes error-causing queries from the main list of category identifying queries. The system identifies queries that cause operational interference and excludes them from execution, thereby eliminating the harmful effect while preserving the identification capability through the remaining safe queries.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary testing of queries against expected results for each asset category before deployment. By pre-identifying which queries cause errors for specific categories and storing this information in the temporary list, the system avoids executing harmful queries during actual operation, thus preventing operational interference in advance.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If a comprehensive list of category identifying queries is maintained to cover all asset categories, then adaptability is improved, but device complexity increases due to query validation and filtering requirements

Engineering Contradiction:

Improveasset category coverageVSAvoidquery filtering mechanism

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the query list into two distinct parts: a main list containing all potential category identifying queries for comprehensive coverage, and a temporary list storing error-causing queries that must be excluded. This segmentation allows the system to maintain high adaptability through the complete main list while managing complexity through the structured temporary list that simplifies filtering logic.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12511952B1Methods for vehicle category identification in a telematics system

Publication Date: 2025.12.30 GEOTAB INC

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 vehicle data queries. The steps are repeated until a single asset category remains in the main list.