UAV Flight Failure Response for High-Value Component Protection

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Solution Overview

Problem

Unmanned aerial vehicles (UAVs) face risks during flight failures, leading to potential damage to expensive components and payloads, with existing technologies lacking effective methods to prioritize and protect these assets during failure scenarios.

Innovation Solution

A computer-implemented system that retrieves valuation data, detects flight failures, prioritizes remediation patterns, calculates damage risks, and modifies movement factors to minimize damage to critical components and payloads by adjusting flight patterns and deploying countermeasures such as parachutes or airbags.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the UAV continues normal flight operations without intervention, then flight continuity is maintained, but damage to expensive components and payloads occurs during flight failures

Engineering Contradiction:
Improvecomponent protectionVSAvoidflight continuity
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system applies preliminary anti-action by detecting flight failure scenarios and executing remediation patterns before catastrophic damage occurs. The computer system prioritizes flight remediation patterns and modifies movement factors to counteract the harmful effects of flight failures, protecting expensive components and payloads through preventive corrective actions.

Inventive Principle:
Principle #9Preliminary anti-action

2Reliability

If the system executes complex remediation patterns to protect components, then damage risk is reduced, but system complexity and response time increase

Engineering Contradiction:
Improvedamage risk reductionVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system applies preliminary action by pre-prioritizing flight remediation patterns before failures occur. The computer system maintains a prioritized list of remediation patterns that can be quickly executed when flight failures are detected, reducing response time while managing system complexity through pre-computed protection strategies.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If the system prioritizes protection of high-value components, then asset preservation is improved, but flight maneuverability and operational flexibility are reduced

Engineering Contradiction:
Improveasset preservationVSAvoidflight maneuverability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system applies dynamics by dynamically modifying movement factors based on prioritized remediation patterns. The computer system adjusts flight controls in real-time to protect high-value components while maintaining operational flexibility, allowing the UAV to adapt its flight behavior to both protection requirements and mission objectives.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20240361772A1Ameliorating risk to an unmanned aerial vehicle
Publication Date: 2024.10.31 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US20240361772A1 patent drawing
  • US20240361772A1 patent drawing
  • US20240361772A1 patent drawing

AI summary

In an approach to ameliorating risk to an unmanned aerial vehicle, a computer retrieves valuation data corresponding to one or more components of an unmanned aerial vehicle. A computer detects a flight failure scenario of the unmanned aerial vehicle. A computer prioritizes a flight remediation pattern of the unmanned aerial vehicle. A computer identifies a feasibility of flight recovery. Based on the feasibility of the flight recovery, a computer determines flight capacity is lost. A computer retrieves risk calculation data. A computer calculates a damage risk for each of the one or more components using the risk calculation data. Based on the retrieved valuation data and the calculated damage risk, a computer ranks the damage risk for each of the one or more components. Based on the ranking, a computer modifies one or more movement factors of the unmanned aerial vehicle to alleviate damage.