Telematics Data Fusion for Real-Time Trend Detection

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Solution Overview

Problem

Conventional telematics systems in asset networks are unable to collect location-specific data, fuse unrelated data, identify patterns, or provide real-time information and predictive solutions in response to changing conditions.

Innovation Solution

A telematics system with processing circuitry that combines data from multiple assets, analyzes it to detect trends, and generates value-added services such as environmental reports, traffic congestion reports, and commerce patterns, which are then distributed to end users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional telematics systems use multiple sensors to acquire real-time data about assets, then real-time monitoring capability is improved, but the system cannot collect location-specific data or fuse unrelated data to identify patterns

Engineering Contradiction:

Improvereal-time monitoring capabilityVSAvoidlocation-specific data collection and data fusion capability

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The data analysis system is enhanced to perform multiple functions: it not only monitors real-time asset data but also collects location-specific information, fuses unrelated data from multiple sources, identifies patterns, and provides predictive analytics. This multi-functional approach resolves the limitation of conventional systems that could only perform basic real-time monitoring.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an intermediary data analysis system that acts as a bridge between raw sensor data and actionable insights. This intermediary layer fuses data from multiple sensors and external sources, processes location-specific information, and generates predictive analytics, thereby enabling capabilities that individual sensors or basic monitoring systems cannot provide alone.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Difficulty of detecting and measuring

If conventional data analysis systems monitor real-time data and provide alarm signals, then basic anomaly detection is improved, but the system cannot provide real-time information about location conditions or predictive solutions

Engineering Contradiction:

Improveanomaly detection capabilityVSAvoidlocation conditions information and predictive solutions

Core Design Contradiction:

Difficulty of detecting and measuringVSLoss of information

Solution Approach 1:

The system performs preliminary actions by collecting and analyzing location-specific data and identifying patterns before anomalies occur. By fusing unrelated data and detecting trends in advance, the system can provide predictive solutions and real-time information about location conditions, enabling proactive rather than reactive responses.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where the data analysis system continuously monitors real-time data, compares it with historical patterns and location conditions, and provides predictive solutions that feed back into the monitoring process. This closed-loop feedback enables the system to learn from patterns and improve its predictive capabilities over time.

Inventive Principle:

Principle #23Feedback

3Quantity of substance

If telematics systems collect data from multiple sensors, then data availability is improved, but the system cannot fuse unrelated data to identify patterns and trends

Engineering Contradiction:

Improvedata availabilityVSAvoiddata fusion and pattern identification capability

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent merges unrelated data from multiple sensors and external sources into a unified analysis framework. By combining location-specific data, asset performance data, and environmental data, the system identifies patterns and trends that would be invisible when analyzing individual data sources separately, thereby transforming data complexity into actionable insights.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS8378843B2System and method to provide value added services in an asset network

Publication Date: 2013.02.19 GENERAL ELECTRIC CO

AI summary

A telematics system in an asset network is provided. The telematics system includes one or more sensors configured to acquire data from multiple assets at different locations in the asset network. The telematics system also includes a transceiver configured to receive the data acquired from the one or more sensors. The telematics system further includes a data analysis system. The data analysis system includes a central data server configured to receive the data transmitted from the transceiver. The data analysis system also includes a processing circuitry configured to combine data, analyze combined data to detect trends, generate value added services based on the detected trends and distribute the value added services to multiple end users.