Using Drones, Mobile Robots and AI Analytics Technologies to Assist Inspecting and Monitoring the Building Structure and Building Services System Health with Non-Destructive Methods

Trial Project Using Drones, Mobile Robots and AI Analytics Technologies to Assist Inspecting and Monitoring the Building Structure and Building Services System Health with Non-Destructive Methods
(REF: P-0332)
Matched I&T Wish
Matched I&T Solution
Solution Feature
  • The climbing robot autonomously operates on various exterior wall structures, detecting leaks, cracks, and structural defects, generating high-precision inspection reports.
  • The mobile robot equipped with GPR and ultrasonic technology accurately detects material structures in internal false ceilings and provides detailed mapping information.
  • The soft growing robot uses the mobile robot’s mapping data for internal visual inspection, identifying hidden cracks, corrosion, and other anomalies.
  • Real-time data synchronization ensures precise data sharing during inspections, enabling immediate report generation and speeding up maintenance response.
  • The system’s modular design is flexible, allowing for scalability to support inspection tasks for various areas of buildings based on specific needs.
Trial Information
Trial Site : Hong Kong City Hall
Trial Scale : Small scale
Trial Duration : Jun 2025 to Sep 2026
Additional Solution Information Prof. Wang_zhe.pdf
Info on I&T Solution Provider
Solution Provider:WANG, Zhe
Address:Room 3564, Academic Building, Hong Kong University of Science and Technology, Clear Water Bay, Sai Kung, Hong Kong
Contact Person:WANG, Zhe
Position:Assistant Professor
Tel:2358 8753
Email: cezhewang@ust.hk
Webpage: https://facultyprofiles.hkust.edu.hk/profiles.php?profile=walter-zhe-wang-cezhewang