Real-Time Telematics Fault Identification via Concurrent Data Processing

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Solution Overview

Problem

Existing vehicular telemetry systems face delays in processing big telematics data, leading to inefficient real-time network communication fault identification and location determination, which impairs fleet management decisions.

Innovation Solution

A method involving concurrent processes on mobile and remote devices to determine communication faults by comparing expected and actual communication periods, utilizing positional data and vehicle status to identify faults in real-time, with the system comprising a telemetry hardware system, communications microprocessor, and a positional device like GPS for precise location determination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If data is delayed and copied to separate database for processing, then processing resources are preserved, but real-time analytics capability deteriorates

Engineering Contradiction:

Improveprocessing resourcesVSAvoidanalytics timeliness

Core Design Contradiction:

Use of energy by moving objectVSLoss of time

Solution Approach 1:

The system segments data processing into multiple concurrent processes: data collection process, fault determination process, and analytics process. Each process operates independently on different data subsets, allowing parallel processing that reduces overall processing time while maintaining resource efficiency. The segmentation enables real-time analytics by processing data streams concurrently rather than sequentially copying to separate databases.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary fault determination by comparing expected versus actual communication periods before full analytics processing. This preliminary action identifies potential issues early, allowing the system to focus resources on critical data points rather than processing all data uniformly, thereby achieving real-time insights without overwhelming processing resources.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If processing and decoding takes more than 12 hours per day of data, then data accuracy is improved, but fleet management decision speed deteriorates

Engineering Contradiction:

Improvedata accuracyVSAvoiddecision speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system applies partial action by performing fault determination on communication period data before complete data decoding. This partial processing provides sufficient information for real-time fleet management decisions without requiring full 12-hour processing. The system accepts that not all data aspects need complete analysis for every decision, enabling faster action on critical issues while maintaining accuracy where needed.

Inventive Principle:

Principle #16Partial or excessive action

3Stability of the object's composition

If network communication faults are monitored with processing delays, then system stability is maintained, but fault identification speed deteriorates

Engineering Contradiction:

Improvesystem stabilityVSAvoidfault identification speed

Core Design Contradiction:

Stability of the object's compositionVSSpeed

Solution Approach 1:

The system implements continuous feedback loops where the fault determination process constantly compares expected communication periods with actual communication periods. This real-time feedback enables rapid fault identification while maintaining system stability through controlled monitoring. The feedback mechanism processes communication data streams continuously, allowing the system to adapt to changing conditions without destabilizing operations.

Inventive Principle:

Principle #23Feedback

4Quantity of substance

If data delays prevent real-time mobile device coordinate determination, then network load is reduced, but fault location precision deteriorates

Engineering Contradiction:

Improvenetwork loadVSAvoidfault location precision

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The system performs preliminary determination of mobile device coordinates and communication status before full fault analysis. By establishing expected communication periods based on preliminary coordinate data, the system can quickly identify faults without requiring continuous real-time coordinate updates. This preliminary action reduces network load by minimizing data transmission frequency while maintaining sufficient precision for fault location through intelligent sampling and prediction.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentEP3331260B1Big telematics data network communication fault identification system method

Publication Date: 2019.10.02 GEOTAB INC

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AI summary

Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.