UAV Inspection Route Planning Using 3D Models and Risk Values

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Solution Overview

Problem

Existing UAV inspection technologies require manual pre-planning of inspection routes, which are inefficient and may not account for the scale and capabilities of the UAV, leading to incomplete or unsafe inspections.

Innovation Solution

An unmanned aerial vehicle inspection route generating apparatus and method that calculates flight segments and risk values based on a three-dimensional model and spatial coordinates, automatically generating an inspection route and adjusting UAV quantity to ensure efficient and safe completion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual pre-planning of inspection routes is used, then the inspection route can be predetermined, but the efficiency of inspection route generation is low and the route may not adapt to UAV capabilities

Engineering Contradiction:
Improveautomatic inspection route generationVSAvoidsystem complexity for route calculation
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The system performs self-service by automatically generating inspection routes based on three-dimensional models and UAV capability parameters without requiring manual intervention. The processor autonomously calculates flight segments, computes risk values, and optimizes routes, enabling the system to serve itself in route planning tasks.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical route planning with an automated computational system. The processor substitutes human operators by performing complex calculations involving three-dimensional models, spatial coordinates, and risk value computations to generate optimized inspection routes automatically.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If user-preplanned inspection routes are used, then the route can be established in advance, but the route may not complete the inspection task safely due to UAV capability limitations

Engineering Contradiction:
Improveinspection safetyVSAvoidinspection efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system changes parameters by computing risk values for different flight segments based on UAV capability parameters such as flight distance limits and battery constraints. The route optimization process adjusts flight paths, altitudes, and segment selections to maintain safety while improving inspection efficiency through automated parameter optimization.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system implements feedback by evaluating risk values for each flight segment and using this information to optimize the overall inspection route. The processor continuously assesses whether the planned route aligns with UAV capabilities and adjusts the route accordingly to ensure safe and efficient task completion.

Inventive Principle:
Principle #23Feedback

3Productivity

If manual route marking is used to guide UAV flight, then the route can be visually defined, but the route generation efficiency is poor

Engineering Contradiction:
Improveroute generation efficiencyVSAvoidoperational simplicity
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent replaces manual visual route marking with an automated computational system that processes three-dimensional models and spatial coordinates. The processor efficiently generates optimized routes through algorithmic calculation, dramatically improving route generation efficiency while eliminating the need for manual graphic marking operations.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates a digital copy of the inspection environment through three-dimensional models and uses this virtual representation to calculate and optimize routes. Instead of manually marking physical or visual routes, the system works with digital spatial data to generate optimized flight paths, improving both efficiency and precision.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12602061B2Unmanned aerial vehicle inspection route generating apparatus and method
Publication Date: 2026.04.14 DELTA ELECTRONICS INC(CN)
  • US12602061B2 patent drawing
  • US12602061B2 patent drawing
  • US12602061B2 patent drawing

AI summary

An unmanned aerial vehicle inspection route generating apparatus and method are provided. The apparatus generates a plurality of inspection points corresponding to a target object to be inspected, and each of the inspection points corresponds to a spatial coordinate. The apparatus calculates a plurality of flight segments based on a three-dimensional model corresponding to the target object to be inspected and the spatial coordinates corresponding to the inspection points, and each of the flight segments corresponds to two of the inspection points. The apparatus calculates a risk value corresponding to each of the flight segments. The apparatus generates an inspection route corresponding to the target object to be inspected based on the risk values and the flight segments.