Construction Industry Council - Annual Report 2024

CONSTRUCTION INDUSTRY COUNCIL 92 OPERATIONAL REVIEW Way Forward The Construction Productivity Department will continue to explore and advance initiatives to showcase best practices in smart offsite construction and site management, explore emerging technologies and advanced materials, and facilitate wider adoption of high productivity construction solutions and construction robots to enhance industry productivity. Practical research projects will continue to be supported to incubate innovative solutions in construction. Building on the success of the inaugural Construction Innovation Expo (CIExpo) in 2019 and 2022, the third CIExpo will be organised in conjunction with the CIC Construction Innovation Award (InnoAward) Presentation Ceremony in December 2025, promoting innovation adoption within construction industry. The launching ceremony for InnoAward and CIExpo 2025 was successfully held on 30 October 2024. Launching ceremony of InnoAward 2025 Lastly, the smart city super application platform, SuperApp, utilises advanced technology to simplify and optimise data processing. It integrates smart Building Information Modelling (BIM) to manage assets comprehensively, supports cities in achieving carbon neutrality goals, and reduces carbon emissions. CIC R&D Conference 2024 Ongoing Research Projects by CIC R&D Funding To enhance construction productivity, four new research projects were initiated in 2024, leveraging emerging technologies such as artificial intelligence, robotics and sensors - • AI-based Interior Fit-out Work Progress Monitoring System (conducted by Chun Wo Construction & Engineering Company Limited) • JARVIS Pay: Applying a Large-Language- Model (LLM) Powered Digital Twin Platform to Accelerate Project Payment Certification and Payments (conducted by isBIM Limited) • Automatic site inspection using robotic dog and Landlink Network & Teleoperation of Tower Crane using Landlink Network (conducted by The Hong Kong Polytechnic University) • Monitoring System for Scaffold Conditions Using Distributed Sensors and Mesh Networks (conducted by B Plus Technology Limited)