Research on Intelligent Flight Control-Based Tunnel Drone Inspection System

Urban underground pipelines are the “lifeline” of the city. There are many problems of underground pipelines in our country. Although underground comprehensive pipe gallery is a solution, it also faces challenges. Aiming at the shortcomings of traditional manual and existing robots in pipe gallery inspection, this paper proposes a pipe gallery UAV inspection system based on intelligent flight control. The system integrates multiple algorithms to solve the problems of positioning, obstacle avoidance and defect detection in the complex environment of pipe gallery. Experiments show that the system has small lateral positioning error, good stability, high defect detection accuracy, greatly improved inspection efficiency, and reduced annual operation and maintenance costs. Its hardware design ensures the stable operation of extreme environments, and provides a technical solution with high reliability for the intelligent operation and maintenance of urban underground pipe gallery.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/iscait64916.2025.11010411
Primary Topic
Simulation and Modeling Applications
Type
article
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Research on Intelligent Flight Control-Based Tunnel Drone Inspection System

Shuheng Liao, Shicheng Zhang, Ziming Zeng, Jiachi Zhang
Simulation and Modeling Applications
article

Research on Intelligent Flight Control-Based Tunnel Drone Inspection System

Shuheng Liao, Shicheng Zhang, Ziming Zeng, Jiachi Zhang
article en

Abstract

Urban underground pipelines are the “lifeline” of the city. There are many problems of underground pipelines in our country. Although underground comprehensive pipe gallery is a solution, it also faces challenges. Aiming at the shortcomings of traditional manual and existing robots in pipe gallery inspection, this paper proposes a pipe gallery UAV inspection system based on intelligent flight control. The system integrates multiple algorithms to solve the problems of positioning, obstacle avoidance and defect detection in the complex environment of pipe gallery. Experiments show that the system has small lateral positioning error, good stability, high defect detection accuracy, greatly improved inspection efficiency, and reduced annual operation and maintenance costs. Its hardware design ensures the stable operation of extreme environments, and provides a technical solution with high reliability for the intelligent operation and maintenance of urban underground pipe gallery.

Anhui Xinhua University (CN), Guangzhou Xinhua University
Affordable and clean energy
Openalex Percentile: Top 87%
Simulation and Modeling Applications
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Research on Intelligent Flight Control-Based Tunnel Drone Inspection System — Shuheng Liao, Shicheng Zhang, et al. · (2025) | TGRS Research Map | TGRS