UAV Pipeline Navigation Using LiDAR Cylinder-Axis Positioning
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Solution Overview
Problem
Current methods for inspecting water diversion pipelines in hydropower stations are manual, hazardous, and inefficient, struggling to accurately detect faults in pipelines with varying diameters and bending degrees, relying heavily on visual identification and requiring extensive manual operation.
Innovation Solution
A positioning and navigation method for unmanned aerial vehicles (UAVs) using laser radar to scan pipelines, fitting point cloud data into a cylinder model, determining the central axis, and calculating the UAV's position and speed to enable autonomous inspection, reducing reliance on visual cues and manual operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection with lifting ropes is used, then inspection can be carried out, but it is very dangerous and difficult to carry out comprehensive inspection
Solution Approach 1:
The patent replaces the manual mechanical inspection system with an automated UAV-based laser radar inspection system. The UAV carries a laser radar to automatically scan the pipeline interior, eliminating the need for manual inspection with lifting ropes and scaffolds. This substitution improves both safety by removing personnel from hazardous environments and comprehensiveness through automated systematic scanning.
Solution Approach 2:
The inspection system performs self-positioning and self-navigation by automatically fitting point cloud data to cylinder models and calculating the UAV's position relative to the pipeline central axis. The system autonomously determines its own location and orientation without requiring manual operation or external guidance, enabling comprehensive inspection while maintaining safety.
2Reliability
If conventional manual inspection method is used, then inspection can be performed, but it has long cycle and high cost
Solution Approach 1:
The patent replaces manual inspection methods with an automated laser radar scanning system mounted on a UAV. The laser radar rapidly captures point cloud data of the pipeline interior, and the system automatically processes this data to identify faults. This automation dramatically improves inspection efficiency while maintaining high fault detection accuracy through precise laser measurement capabilities.
Solution Approach 2:
The system performs preliminary data processing by pre-fitting point cloud data to cylinder models and pre-calculating pipeline geometry characteristics before actual fault detection. This preliminary action streamlines the inspection process, reducing the overall inspection cycle time while ensuring accurate fault detection through pre-established geometric references.
3Measurement precision
If manual inspection method is used, then inspection can be carried out, but it is difficult to accurately judge faults
Solution Approach 1:
The patent replaces subjective manual fault judgment with objective laser radar-based measurement and automated data analysis. The laser radar provides precise dimensional data of the pipeline interior, and the system automatically compares this data against the fitted cylinder model to identify deviations indicating faults. This substitution significantly improves measurement precision and fault judgment accuracy.
Solution Approach 2:
The patent introduces a cylinder model fitting algorithm as an intermediary between raw point cloud data and fault detection. This intermediary process automatically extracts geometric features and compares them against ideal pipeline geometry, providing objective and precise fault identification without requiring complex manual analysis or interpretation.
4Measurement precision
If visual identification and positioning method is used, then positioning can be achieved, but visual identification and positioning effects are poor and a large number of two-dimensional codes are needed
Solution Approach 1:
The patent replaces visual identification and positioning methods with laser radar-based geometric positioning. The laser radar scans the pipeline interior and fits point cloud data to a cylinder model, automatically determining the UAV's position relative to the pipeline central axis. This substitution eliminates the need for visual codes and provides superior positioning accuracy through precise laser measurement and mathematical modeling.
Solution Approach 2:
The patent introduces a cylinder model fitting algorithm as an intermediary between laser radar point cloud data and UAV positioning. This intermediary process automatically extracts geometric features from the point cloud, fits them to a theoretical cylinder model, and calculates the UAV's position and orientation relative to the pipeline axis. This approach achieves high positioning accuracy without requiring visual codes or complex image processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and autonomous inspection of water diversion pipelines with different bending degrees, improving safety and efficiency by using real-time laser scanning and IMU data to control the UAV's position and attitude, reducing manual intervention and visual dependency.
Implementation Method 1
Using a laser radar carried by an unmanned aerial vehicle (UAV) to scan the inside of a water diversion pipeline to obtain point cloud data
Implementation Method 2
converting the actual speed of the UAV in the central axis coordinate system to be in a world coordinate system; Adjusting the attitude of the UAV according to the actual speed and the desired speed of the UAV
Data Source
AI summary
The present invention discloses a positioning and navigation method for automatic inspection of an unmanned aerial vehicle in a water diversion pipeline of a hydropower station, comprising: using a laser radar carried by an unmanned aerial vehicle (UAV) to scan the inside of a water diversion pipeline to obtain point cloud data; determining the central axis of the cylinder model; determining the foot point of the current position coordinate of the UAV in the central axis in a body coordinate system; calculating the actual speed of the UAV in a central axis coordinate system according to the distance change of central axes of two frames; and adjusting the attitude of the UAV according to the actual speed and the desired speed of the UAV. The present invention can adapt to pipeline environments with different bending degrees.