Asset Tracking Data Capture Triggers for Rich Raw Event Logging
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Solution Overview
Problem
Telematics systems face challenges in efficiently processing large volumes of data from asset tracking devices, leading to overwhelmed technical infrastructure and a lack of rich detail for advanced analytics, as they typically transmit only simplified data, discarding valuable raw data that could enable more rigorous analysis.
Innovation Solution
Implementing a dual data capture approach on asset tracking devices, where a dataset simplification algorithm generates simplified data for telematics services while a rich data capture algorithm identifies and logs unsimplified data blocks for further analysis when specific triggers are met, allowing for both efficient data transmission and detailed event capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all raw data is transmitted to the server for analysis, then the richness of data for advanced analytics is improved, but the infrastructure becomes overwhelmed and processing efficiency deteriorates
Solution Approach 1:
The patent segments data into two distinct categories: simplified data for routine telematics services and rich unsimplified data for advanced analytics. The asset tracking device performs local processing to determine which data blocks require full preservation, separating concerns between operational monitoring and analytical research needs.
Solution Approach 2:
The system dynamically changes data processing parameters based on trigger conditions. When enrichment triggers are satisfied, the data simplification parameter is adjusted to preserve full raw data blocks rather than applying standard simplification, allowing flexible adaptation between efficiency and richness modes.
2Productivity
If simplified data is transmitted for telematics services, then infrastructure load is reduced and processing efficiency is improved, but data detail and richness for advanced analytics deteriorates
Solution Approach 1:
The system performs preliminary evaluation of data blocks against enrichment triggers before final transmission decisions. This advance assessment allows the device to identify which simplified data blocks should be preserved in unsimplified form, preparing enriched data sets before server communication occurs.
Solution Approach 2:
The asset tracking device acts as an intermediary between data collection and server processing. It performs local intelligence by evaluating triggers and determining which data blocks require enrichment, serving as a gateway that filters and prepares data based on analytical needs before transmission.
3Loss of information
If rich data blocks are captured and transmitted, then data richness for machine learning is improved, but data transmission volume and infrastructure burden increases
Solution Approach 1:
The patent applies local quality by enriching only specific data blocks that satisfy enrichment triggers rather than uniformly processing all data. Each data block is locally evaluated and selectively enriched based on its specific characteristics and the satisfaction of defined triggers, ensuring richness where needed while maintaining efficiency elsewhere.
4Productivity
If data simplification algorithm is applied to all data, then data transmission efficiency is improved, but measurement precision and analysis accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts the level of data simplification based on trigger satisfaction. Data processing transitions between simplified and unsimplified states according to runtime conditions, allowing the system to adapt its precision level dynamically rather than using a fixed approach.
Data Source
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AI summary
Methods, systems, and devices for data capture trigger configuration for asset tracking are provided. Another example method capturing raw data involves obtaining a rich data capture trigger that defines when a controller of an asset tracking device onboard an asset is to identify and log an unsimplified block of raw data in raw data on the asset tracking device for rich data analysis, transmitting data capture instructions to the asset tracking device that contains the rich data capture trigger, and receiving the simplified set of raw data and the unsimplified block of raw data from the asset tracking device.