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A Dual-Cuboid Constraint Method with Marching Cubes-Based Contour Extraction for Verticality Inspection of Square
Mingduan Zhou1, Zihan Zhou1, Yuhan Qin1
1School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
This study introduces a novel Dual-Cuboid Constraint Method for inspecting the verticality of square tower structures. The method enhances accuracy and stability in structural safety assessments by improving point cloud processing and axis fitting.
Area of Science:
- Structural Engineering
- Geomatics Engineering
- Computer Vision
Background:
- Conventional verticality inspection methods for square towers struggle with point cloud noise, redundant data, and unstable feature extraction.
- Existing techniques fail to meet the demands for non-contact, high-precision, and holistic perception in structural monitoring.
- There is a need for advanced methods to ensure the operational safety and longevity of square tower structures.
Purpose of the Study:
- To propose and validate a Dual-Cuboid Constraint Method with Marching Cubes-Based Contour Extraction for accurate verticality inspection of square tower structures.
- To address the limitations of conventional methods in point cloud processing and geometric feature extraction.
- To enhance the precision, stability, and robustness of verticality measurements for structural safety.
Main Methods:
- Terrestrial LiDAR scanning to acquire raw point cloud data of square tower structures.
- Preprocessing including registration, coordinate unification, redundancy removal, and denoising.
- Application of a Dual-Cuboid Constraint Method with Marching Cubes-Based Contour Extraction for precise central axis fitting and verticality calculation.
Main Results:
- The proposed method achieved consistent verticality detection results across different dual-cuboid constraint frame schemes, with a small range of 0.34‱.
- Verticality values obtained were in good agreement with established methods, demonstrating the accuracy and reliability of the approach.
- The dual-cuboid constraint frame significantly improved the stability of point cloud feature extraction and central axis fitting.
Conclusions:
- The Dual-Cuboid Constraint Method offers a robust and accurate solution for verticality inspection of square tower structures.
- The method demonstrates resilience to variations in constraint frame dimensions, ensuring reliable performance in practical applications.
- This approach contributes to improved structural safety, extended service life, and optimized maintenance strategies for square tower structures.
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