Heterogeneous Navigation Data Reconstruction for Forensic Accident Analysis
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Solution Overview
Problem
Existing navigation data forensic systems struggle to simultaneously reproduce and analyze data from different types of navigational equipment or models due to format inconsistencies, leading to potential loss of legal validity and relevance of evidence.
Innovation Solution
A method and apparatus that integrate and reconstruct accident data from multiple sources by converting data into a unified JSON format, ensuring integrity and relevance through evidence collection, analysis, and reconstruction, using an evidence-based integrated navigation pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data from different manufacturers' equipment models is collected for comprehensive accident analysis, then the quantity and completeness of evidence increases, but the complexity of data integration and format compatibility deteriorates
Solution Approach 1:
The patent introduces a standardized JSON data structure as an intermediary format that mediates between different manufacturers' proprietary data formats. The evidence data analysis unit converts heterogeneous navigation data from various equipment models into this universal JSON structure, enabling seamless integration without direct complexity between different formats. This intermediary layer preserves all evidence while eliminating format incompatibility issues.
Solution Approach 2:
The system transforms data from various manufacturers into a unified parameter structure defined by the JSON schema. By changing the parameter representation format to a standardized set of fields (position, time, course, speed, etc.), the system maintains the essential characteristics of each manufacturer's data while achieving compatibility. This parameter standardization allows comprehensive evidence collection without proportionally increasing integration complexity.
2Adaptability or versatility
If navigation data is converted and integrated from multiple formats, then the adaptability and comprehensiveness of analysis improves, but the risk of losing original data integrity and legal validity increases
Solution Approach 1:
The system creates a faithful copy of the original navigation data in JSON format while preserving the complete data structure and content. The conversion process generates an integrated navigation pattern that is a precise replica of the source data in a different format, ensuring no information loss. This copying approach maintains legal validity because the JSON representation is an exact duplicate, not an interpretation or transformation that could alter meaning.
Solution Approach 2:
The evidence data analysis unit performs preliminary validation and verification before the integration process. By checking data integrity, verifying source authenticity, and validating the conversion process in advance, the system ensures that the integrated JSON output maintains legal admissibility. This preliminary action prevents integrity loss during conversion by establishing verification protocols before the actual data transformation occurs.
3Measurement precision
If heterogeneous navigation data from multiple sources is analyzed simultaneously, then the accuracy and completeness of accident reconstruction improves, but the difficulty of detecting and measuring data consistency deteriorates
Solution Approach 1:
The system segments the verification process into distinct modular components: data collection from each source, individual validation against the JSON schema, integration into the unified pattern, and final consistency checking. By dividing the complex verification task into manageable segments, the system can accurately analyze multiple data sources simultaneously while making consistency detection tractable through systematic, step-by-step validation at each processing stage.
Data Source
AI summary
An apparatus for analyzing and handling heterogeneous navigation data includes an evidence collection unit that collects evidence material relating to an accident; an evidence data analysis unit that verifies the integrity of the collected evidence material, and if the collected evidence material is collected from a plurality of manufacturers' equipment models, restores navigation data by analyzing evidence data relating to the collected evidence material; an integrated navigation data handling unit that generates an evidence-based integrated navigation pattern for different forms of navigation data, including original information, information on relevance to the original information, and an evidential material for extraction to be used as evidence, and stores the integrated navigation pattern in a standard format; and an accident reconstruction analysis management unit that simultaneously presents multiple pieces of heterogeneous data by layering the integrated navigation pattern, and reconstructs and analyzes the accident for each time slot of each track.