Automated Vehicle Data Analysis for UAM Event Detection
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Solution Overview
Problem
Urban air mobility (UAM) systems face challenges in managing large amounts of data for certification, maintenance, and safe operation of aerial vehicles, including structural integrity, power system health, and obstacle avoidance, which can overwhelm operator systems and interfere with compliance processes.
Innovation Solution
A system and method for receiving and analyzing vehicle data from multiple vehicles to detect parameter events and environment changes, transmitting status messages to associated services, ensuring certification compliance, and providing feedback to operators, including battery information, structural health, and obstacle detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large amounts of vehicle data are collected and processed for certification compliance, then safety and compliance monitoring is improved, but operator systems become overwhelmed and operational efficiency deteriorates
Solution Approach 1:
The patent segments the data processing function into two distinct parts: (1) an automated analysis system that performs initial data processing, event detection, and filtering of vehicle data, and (2) operator systems that receive only processed results and alerts. This segmentation allows comprehensive data analysis to occur automatically without overwhelming human operators, thus maintaining both safety monitoring and operational efficiency.
Solution Approach 2:
The patent introduces an intermediary automated data processing system that acts as a mediator between the vehicle data sources and operator systems. This intermediary performs data aggregation, analysis, and filtering, transforming raw data into meaningful insights and alerts before presenting them to operators. This intermediary layer protects operator systems from being overwhelmed while ensuring thorough compliance monitoring.
2Measurement precision
If comprehensive vehicle data analysis is performed to detect all parameter events and environment changes, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-defining parameter events, environment changes, and acceptance criteria before data analysis begins. The system is configured with predetermined thresholds, event types, and analysis rules that guide the automated processing. This preliminary setup enables the system to efficiently filter and analyze data against known criteria, achieving high detection accuracy without exhaustive processing of all possible data variations.
3Manufacturing precision
If detailed vehicle parameter monitoring is implemented for certification purposes, then compliance accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts and isolates the complex compliance monitoring and data analysis functions into a separate automated system. This extracted system handles the intricate requirements of certification compliance, including data validation, event detection, and regulatory rule application. By taking out this complexity from the operational vehicle control systems, the patent maintains high compliance accuracy while preventing complexity from propagating throughout the entire system.
Data Source
AI summary
Disclosed are methods, systems, and non-transitory computer-readable medium for managing data from vehicles. For instance, the method may include receiving vehicle data from a vehicle of a plurality of vehicles; obtaining collective vehicle data and vehicle parameters; performing an analysis on the vehicle data, the collective vehicle data, and the vehicle parameters to: detect a vehicle parameter event, or detect an environment change; and in response to detecting the vehicle parameter event or the environment change, transmitting a status message to a service associated with the vehicle.