Sensor Data Fusion Using Curation, Linking, and Entropy Validation
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Solution Overview
Problem
Existing sensor data fusion systems fail to accurately fuse heterogeneous, partially heterogeneous, or homogeneous data sources, leading to inefficiencies in data processing, storage, and the inability to create actionable data.
Innovation Solution
A system and method for sensor data fusion that uses a computer processor to curate, link, fuse, infer, and validate sensor data from multiple sources, employing artificial intelligence to dynamically adjust thresholds and enhance data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from multiple sources is fused using traditional methods, then data integration is achieved, but data fusion accuracy is insufficient and computational requirements increase
Solution Approach 1:
The patent segments the data fusion process into distinct functional modules: a curation engine that pre-processes and validates individual sensor data streams, a link engine that establishes relationships between curated data, and a fusion engine that combines linked data. This segmentation allows each module to operate independently with optimized computational requirements while maintaining high fusion accuracy through systematic data processing stages.
Solution Approach 2:
The patent applies preliminary action by implementing a curation engine that performs data validation, filtering, and standardization before the actual fusion process. This pre-processing step ensures that only high-quality, compatible data enters the fusion pipeline, thereby improving fusion accuracy while reducing the computational burden on subsequent fusion operations by eliminating incompatible or low-quality data early in the process.
2Loss of information
If more sensor data sources are integrated, then data completeness improves, but storage requirements and processing time increase
Solution Approach 1:
The curation engine performs preliminary filtering and validation of sensor data streams before they enter the fusion pipeline. By pre-processing data to remove duplicates, validate formats, and standardize structures, the system maintains complete information from multiple sources while significantly reducing the time required for subsequent fusion operations.
Solution Approach 2:
The link engine extracts and establishes only the necessary relationships between curated data points from different sensors. Rather than processing all possible data combinations, the system identifies and links only those data elements that are spatially or temporally related, thereby maintaining data completeness while minimizing processing time through selective relationship establishment.
3Productivity
If heterogeneous sensor data is fused without validation, then processing speed increases, but data accuracy and reliability decrease
Solution Approach 1:
The curation engine performs validation, filtering, and compatibility checking of heterogeneous sensor data before fusion. This preliminary action ensures that only reliable, compatible data proceeds to the fusion stage, maintaining high data accuracy while the optimized fusion pipeline then processes validated data efficiently to preserve processing speed.
Solution Approach 2:
The link engine acts as an intermediary between curated heterogeneous data streams and the fusion process. It establishes verified relationships between data points from different sensors, ensuring that only properly linked and validated data combinations are fused. This intermediary validation layer maintains data reliability while the system preserves processing speed through efficient relationship mapping.
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.