ST Engineering’s Electronics sector announced that it has extended its Smart Street Lighting solution to Hong Kong, having been awarded a contract to conduct a proof of concept trial to deploy multi-purpose lamp posts (MPLP) in Hong Kong.
The team from the Electronics sector will install customised multi-purpose lamp posts in Kowloon East, Hong Kong’s Smart City Pilot Area. The MPLP will be interconnected with a telecommunication network to form an Internet of Things (IoT) backbone. Leveraging IoT sensors fixed on the lamp posts, the MPLP will enable real-time collection of city data, such
as weather, air quality, temperature, people and/or vehicle flow related information, for city management and the support of various applications of smart city initiatives. It will also provide services such as Wi-Fi hotspots, electric vehicle charging facility, information dashboard for maps and directions, real-time traffic updates, and car parking space vacancy information to residents. The use of renewable energy to power these multi-purpose lamp posts will also be adopted at one of the trial sites.
The trial, which started in June and will last till December 2019, is to result in enhanced
efficiency of city services and operations.
“This programme goes beyond installing lamp posts for smart lighting services. It leverages
technology to transform lamp posts into smart infrastructure that will enable smart services to be delivered to the residents in Hong Kong,” said Mr Ravinder Singh, President of Electronics, ST Engineering. “Having successfully deployed 15 million sensors globally for street lighting, water and energy management, we are excited by this opportunity to extend our technology and expertise to Hong Kong in its smart city journey.”
This POC trial is Hong Kong’s first step towards enabling smart city applications by leveraging street lighting infrastructure to support the deployment of a robust and resilient wireless sensor network. The street lighting infrastructure leverages the IoT ecosystem to facilitate seamless data exchange and analytics, offering deeper insights for predictive operations and maintenance.
