Telematics Data Transformation for Cross-System Compatibility
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Solution Overview
Problem
Telematics data collected, processed, and transmitted by different systems is not agnostic, leading to compatibility issues and errors when used across various systems.
Innovation Solution
A computer-implemented method and system that transforms telematics data from one type of telematics system into a prediction model, converting it into a form compatible with another type of telematics system using machine learning algorithms, such as neural networks, to create a universal data type recognized by target systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If telematics data is collected and processed by different types of telematics systems, then data collection capability is improved, but data compatibility and integration reliability deteriorate due to format differences
Solution Approach 1:
The patent implements a data transformation service that acts as an intermediary between different telematics systems. This service receives data in various source formats from different telematics systems, processes it through format detection and transformation logic, and outputs standardized target formats that ensure compatibility across systems, thereby resolving the compatibility issue while preserving multi-system data collection capabilities
Solution Approach 2:
The patent transforms data parameters by detecting the source format characteristics and dynamically changing format parameters during transformation. The system identifies source format parameters, applies appropriate transformation rules, and outputs data with modified parameters in the target format, enabling seamless integration while maintaining the ability to collect from diverse systems
2Adaptability or versatility
If data transformation between different telematics system formats is implemented, then system compatibility is improved, but processing complexity increases
Solution Approach 1:
The patent segments the data transformation process into distinct modular components: format detection module, transformation rule selection module, data transformation execution module, and validation module. Each component handles a specific aspect of the transformation process, making the overall complex system manageable and maintainable while achieving comprehensive format compatibility
Solution Approach 2:
The patent creates a universal data transformation service that can handle multiple source formats and produce multiple target formats through a single integrated system. The transformation service uses configurable transformation rules that can be applied across different format pairs, reducing the need for separate transformation logic for each format combination and simplifying the overall processing architecture
Data Source
AI summary
Method and system for transforming telematics data for agnostic use. For example, a computer-implemented method includes: receiving, from a first telematics system of a first type, telematics data in a first form, the telematics data being associated with a vehicle; and transforming, via a prediction model, the telematics data into a first prediction in a second form, the second form being: different from the first form, and the form which data collected, processed, stored, or transmitted by a second telematics system of a second type would be, the second type being different from the first type.