Distributed Event Management for Aerial Vehicle Response Prioritization
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Solution Overview
Problem
Operators of aerial vehicles face challenges in efficiently and accurately managing multiple events impacting the vehicle's operation due to limited time and knowledge, leading to potential unsafe scenarios and operational inefficiencies.
Innovation Solution
A distributed event management framework (EMF) with an event management engine that integrates onboard and offboard computing devices to analyze events, classify their severity, and generate actionable recommendations, distributing computational load and processing power to facilitate timely and informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operators manually evaluate multiple events impacting aerial vehicle operation, then they can assess situational awareness and contextual information, but the limited time and knowledge available leads to inaccurate determination of appropriate mitigative actions
Solution Approach 1:
The patent introduces an event management framework as an intermediary system between the multiple event sources and the operator. This framework includes an event management engine that receives data from various sensors and systems, processes events through classification and prioritization, and presents synthesized information to the operator. The intermediary framework handles the complexity of multiple simultaneous events, allowing the operator to receive curated, prioritized information rather than raw data from numerous sources, thereby improving assessment accuracy within limited time.
Solution Approach 2:
The patent replaces the manual mechanical process of operator evaluation with an automated computational system. The event management engine uses algorithms to automatically detect, classify, and prioritize events based on predefined criteria and machine learning models. This substitution of automated processing for manual evaluation enables rapid analysis of multiple events simultaneously, overcoming the human limitations of time and cognitive capacity while maintaining or improving assessment accuracy.
2Loss of information
If multiple sensors and systems provide raw data to operators, then situational awareness and contextual information are enhanced, but the volume of data overwhelms the operator's ability to evaluate events accurately
Solution Approach 1:
The patent segments the event management functionality into distinct modular components: data reception modules that interface with specific sensors, event detection modules that identify particular types of events, classification modules that categorize events by severity and type, and presentation modules that display information to the operator. This segmentation allows each component to handle specific aspects of data processing independently, making the overall system more manageable and efficient while preserving information from multiple sources.
Solution Approach 2:
The event management framework is designed as a universal system that can handle multiple types of events from diverse sensor sources through a common processing architecture. The event management engine implements multi-functional capabilities including detection, classification, prioritization, and presentation of various event types (system failures, environmental conditions, operational anomalies) through unified algorithms and interfaces, reducing the complexity that would arise from separate handling mechanisms for each event type.
3Reliability
If operators must determine appropriate mitigative actions for multiple simultaneous events, then comprehensive safety management is achieved, but the cognitive load and time required exceed operator capabilities
Solution Approach 1:
The patent implements preliminary action by pre-configuring the event management engine with classification rules, prioritization criteria, and response protocols before events occur. The system pre-establishes the framework for evaluating different event types and their potential impacts on safety. When events occur, the engine automatically applies these pre-defined criteria to rapidly assess and prioritize responses, eliminating the need for operators to develop evaluation frameworks in real-time and reducing cognitive load while maintaining comprehensive safety management.
Data Source
AI summary
Embodiments of the present disclosure are directed to an event management framework configured to mitigate events impacting the operation of a vehicle. Embodiments can receive a set of vehicle operation constraints, receive vehicle sensor data, and receive travel event data associated with the operation of the aerial vehicle. Embodiments include an event management engine configured to determine a set of recommendations related to the events. The event management engine is distributed across multiple operational segments of the event management framework. The event management engine can determine a respective computing device of the multiple operational segments for determining the set of recommendations based at least in part on a respective classification of the one or more events. The event management engine can also cause execution of the respective recommendations, where causing the execution of the respective recommendations causes operation of one or more vehicle systems affecting control of the aerial vehicle.