Early this year, the EMSD and the Flood Control Section of the Drainage Services Department (DSD) jointly launched a trial scheme to develop a Smart Drainage – Flood Monitoring System in Sha Tin and Tai Po with the application of the Government-wide Internet of Things (IoT) Network (GWIN). The client department was very satisfied with the good results of the trial and decided to further extend the trial to ten locations which are more susceptible to storm surges and overtopping waves. LoRa, the IoT communication technology used by the GWIN, has the advantages of wide coverage, low power consumption, low costs, easy installation and maintenance, etc. Besides, the GWIN also supports hundreds of different types of sensors, which can be used for a wide array of applications to help promote innovation and technology development of the client department.
In the short period between mid-July and end-August, the EMSD successfully installed a number of IoT sensors at seven storm surge spots and three overtopping wave spots across the territory. The loT sensors are on live with the GWIN, enabling the DSD to effectively monitor real-time information of the rise and fall of water level at these locations and obtain more data on water level, which will facilitate early implementation of contingency measures for this year’s typhoon season to better protect the lives and properties of the public.
The sensors not only monitor the real-time water level round the clock, but also remotely adjust the data sampling frequency (ranging from one to ten minutes) according to the operational need, and continuously transmit the hydrological information of each monitoring spot to the EMSD Headquarters through GWIN base stations for display on the newly installed flood monitoring system. Furthermore, EMSD plans to install an additional set of backup IoT sensors at each monitoring spot to enhance the reliability of the system. With the data on rising water level trend and alert level provided by the newly installed flood monitoring system, DSD colleagues can quickly assess the risk of flooding for early deployment of emergency response teams to assist the residents and handle the flooding cases.