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Digital Twin-based ESG Platform for Property and Facility Management Industries

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Overview

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.

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
▍ IoT data capturing and integration for IAQ monitoring
▍ Point-of-Interest analytics for facility management with alert system
▍ Robotics location data capturing for AI-based spatial-temporal analysis
▍ Holistic robot path planning

Key Impact

▍ Provide insights on how to improve building control in compliance with international standards.
▍ Support facility and property managers to improve ESG performance in terms of air quality, as well as occupants’ satisfaction and health.
▍ Improve IAQ coverage to meet the high on-site inspection and IAQ monitoring demand in high-density public places; facilitating digital twin-based integration and dynamic display of data.
▍ ESG platform will improve building operation efficiency and coordination, and therefore enable cost savings in facility management.
▍ Instils confidence in the building industry to adopt digital twins and robotics to improve IAQ and ESG performance. This also reduces the manpower requirement for facility management for sustainability and improves the quality of living.
▍ With novel robot localisation, digital twin integration, and AI-based spatial-temporal analytics technologies, it delivers comprehensive monitoring and analysis capabilities.
▍ Enable the property and facility management industries to effectively manage their environmental impact.
▍ Optimise resource utilisation and enable data-driven decisions, assisting the industry in implementing sustainable and efficient management practices.

Award

Silver Medal in the 49th International Exhibition of Inventions Geneva in 2024
Outstanding ESG Platform for Property & Facility Management Industries in Smart Living Partnership 
Awards in 2023/24

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