In collaboration with The Hong Kong University of Science and Technology, LSCM developed the digital twin-based robot-assisted surveillance platform, combining Building Information Modeling (BIM), Internet of Things (IoT), robotics and AI technologies to enhance environmental, social and governance (EGS) reporting as well as the environmental management capabilities of the real estate sector.
Overview | |
Problem addressed | There are increasing concerns about indoor air quality (IAQ) from the occupants of the buildings. However, there is a lack of manpower and expertise to conduct regular on-site inspections and monitor the IAQ. Delayed data collection, inconsistent records and inadequate path planning capability of the robots in the market cannot meet the high and constant demands for conducting IAQ monitoring. Moreover, there is insufficient data analysis capability for decision making in building control and a lack of analytics for ESG management. |
Innvoation | ▍ Data fusion on digital twin for ESG reporting |
Key Impact | ▍ Provide insights on how to improve building control in compliance with international standards. |
Award | Silver Medal in the 49th International Exhibition of Inventions Geneva in 2024 |
Research Completion | 2025 |
Commercialisation Opportunities | Technology licensing |
Applications | Property and Facility Management |
More information
Project Reference | PRP/009/23LI |
Hosting Institution | The Hong Kong University of Science and Technology (HKUST) |
Project Coordinator | Prof Jack Chin-pang Cheng |
Approved Funding Amount | HK$ 1.39M |
Project Period | 31 Mar 2023 - 30 Sep 2024 |