Exploration of the Application of Intelligent Inspection Technology in Construction Engineering
Year: 2025
Type: conference-paper
Abstract: This paper discusses the application of intelligent inspection technology in construction engineering, focusing on the limitations of traditional inspection methods and the advantages of intelligent inspection technology. Traditional inspection methods, such as visual inspection method, infrared thermal camera local scanning method and traditional non-destructive testing method, are low-cost and easy to implement, but there are problems such as low efficiency, high risk and incomplete coverage. With the development of intelligent construction technology, intelligent means such as unmanned aerial vehicle (UAV) curtain wall inspection and CCTV pipeline endoscopic inspection have gradually become the core driving force to improve the efficiency and accuracy of engineering inspection. UAV curtain wall inspection realizes rapid and comprehensive inspection of ultra-high-rise building curtain wall by integrating high-definition camera, infrared thermal camera, LIDAR and other sensors, while CCTV pipeline endoscopic inspection can comprehensively observe the rupture, deformation, corrosion and other conditions of the pipeline, and realize the long-distance inspection and save the video. Through the actual case study, intelligent detection technology in terms of efficiency, cost, accuracy, safety are significantly better than the traditional manual detection. However, the large-scale application of intelligent inspection still faces challenges, such as the influence of drones by complex meteorological conditions, and the lack of adaptability of CCTV equipment in the environment of narrow bends. This paper aims to provide theoretical basis and practical reference for the digital transformation in the field of construction engineering inspection.
Institution: Chongqing College of Architecture and Technology
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414307293