Sensor Data Fusion Using Pre-Storage Linking and Validation
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Solution Overview
Problem
Existing sensor data fusion systems fail to create actionable data by correlating and fusing sensor data before storage, leading to excessive computational and storage requirements, and they do not generate new datasets that enhance sensor accuracy or predict future events.
Innovation Solution
A system and method for sensor data fusion that includes a computer processor to curate, link, fuse, and validate sensor data in real-time or near real-time, creating a unique dataset by mathematically linking sensor outputs exceeding a predefined threshold, thereby reducing computational and storage demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensor data is stored before fusion, then data availability is improved, but computational and storage requirements increase excessively
Solution Approach 1:
The system performs preliminary data fusion before storage by receiving sensor data from multiple sources, fusing the data to create combined information, and then storing only the fused result. This preliminary action eliminates the need to store large volumes of raw sensor data from multiple sources while ensuring that the fused information is available when needed for downstream applications.
2Device complexity
If sensor data is fused after storage, then data processing is simplified, but computational requirements become excessive
Solution Approach 1:
The system performs the data fusion operation before storage, creating fused sensor data that combines information from multiple sensor sources. This preliminary fusion reduces the computational burden on downstream systems because they receive pre-processed, combined data rather than having to perform complex fusion operations on stored raw data from multiple sources.
3Loss of information
If raw sensor data from multiple sources is stored, then data completeness is improved, but storage demands increase
Solution Approach 1:
The system merges sensor data from multiple sources by receiving data from different sensor types, fusing the data to create combined information that represents the integrated state of all sensors, and storing only this merged result. This combining process maintains the essential information from all sources while dramatically reducing storage requirements compared to storing each sensor's raw data separately.
4Productivity
If data fusion is performed in real-time, then actionable data generation is improved, but processing speed requirements increase
Solution Approach 1:
The system performs data fusion as a preliminary action immediately upon receiving sensor data, creating actionable fused information before the data is stored or passed to downstream applications. This real-time preliminary fusion ensures that actionable data is generated continuously without requiring high-speed processing later in the data pipeline, as the fusion operation completes before storage occurs.
Data Source
AI summary
Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.