Digitalisation Journey - E&M 2.0
Electrical and Mechanical Services Department

Exemplary Services@Gov


The Electrical and Mechanical Services Department (EMSD) formulated the 5-year Strategy Plan in 2018, charting a clear roadmap for the department to head towards E&M 2.0 with digitalisation and to continuously innovate in innovation and technology, provide digitised electrical and mechanical (E&M) engineering solutions for government departments, and create public value. Through the digitisation of E&M equipment, deployment of Government-Wide IoT Network (GWIN), development of Building Information Modelling – Asset Management (BIM-AM) platform, and setting up the Regional Digital Control Centres (RDCC) with the development of Semantic AI, it is hoped to gradually empower predictive maintenance and enhance operational efficiency and performance of E&M assets.


GWIN is a dedicated government network using LoRa (Long Range) technology. LoRa is a technology that supports data transmission in low power and long range. LoRa-based sensors are battery-operated and can transmit data through the GWIN gateway for up to 7 kilometres, reducing the installation cost and its complexity. Besides monitoring E&M systems and equipment, GWIN also supports smart applications from various government departments such as Smart Construction, Smart Drainage and Smart Toilet, etc.


Building Information Modelling (BIM) is typically adopted in the design and construction stage for design visualisation and coordination. EMSD extended it to BIM-AM to cater for asset management (AM) in the operations and maintenance (O&M) stages after the construction processes. EMSD was granted the patent of the BIM-AM in 2016 and further integrated it with augmented reality (AR) and 5G technology. With BIM-AM, maintenance staff can locate, monitor and diagnose equipment in real time through a mobile device. With the support of smart glasses, E&M equipment behind false ceilings can also be viewed to ensure the O&M works can be effectively conducted.


The RDCC is responsible for remote real-time equipment monitoring and applies artificial intelligence (AI) and big data analytics to enhance the operational efficiency and environmental performance of E&M assets. The RDCC is also able to track the status of E&M emergency equipment and on-site condition via visual images. Besides, EMSD also developed the Semantic AI prediction model based on the building data to build the foundation of digitisation.

Many smart city projects make use of GWIN for data transmission, for example, installing IoT sensors to effectively monitor real-time information about water levels at designated locations to facilitate the early implementation of contingency measures.
By using the Regional Digital Control Centre (RDCC) at the EMSD Headquarters Building, the E&M equipment status and alarms of various designated and widely dispersed sites are centrally visualised and assets at multiple sites can be monitored via a centralised dashboard.
BIM-AM can be integrated with AR and engineering staff can check the real-time E&M equipment status through mobile devices.