A PROTOTYPE OF STORM WATER CHANNEL IOT (SWCI) TO PREVENT FLOOD DAMAGE IN MALAYSIA

 

 Deshinta Arrova Dewi1, Jonathan Wijaya2, Kannan Ponkoodalingam3

1,2,3 Faculty of Information Technology and Science (FITS), INTI International University, Nilai, Negeri Sembilan, Malaysia.

 

Corresponding Author: deshinta.ad@newinti.edu.my

Malaysia as a nation of Southeast Asia has an average of raindrop 250 centimeters or 98 inches and an average of temperature 27oC or 80.6oF. Malaysia is naturally exposed to weather wonder affect like is El Nino that decrease the amount of rainfall during the dry season. It influences Malaysia by expanding the sea and ocean levels and rainfall, which prompted a huge area of droughts and endangered Malaysia with flooding. This leads Malaysia to do a pre-emptive action to prevent flood by building a SMART Tunnel (Stormwater Management and Road) in Kuala Lumpur. With the help of the SMART Tunnel, the prevention actions against flash flood are performed. However, a few upgrades are needed to increase the efficiency of the SMART tunnel upon traffic and resources. For example, the SMART tunnel will be closed if heavy rain occurs and approximately 1.000.000 m3 of stormwater will flow to Kerayong River and then go to Klang River. Both rivers actually have been polluted due to heavy development in the city. Hence, there is a need to find solutions whereby the SMART tunnel will continuously open during heavy rain. This helps the traffic flow on the road. A proper mechanism is also needed to utilize the excess water and preserve it as water resources for daily life. This paper attempts to overcome the drawback of the current SMART tunnel in Kuala Lumpur by introducing a prototype of Storm Water Channel IoT (SWCI). The SWCI is designed to manage the stormwater channel to ease the traffic condition during raining or dry season. SWCI is connected to several reservoirs or a special tank so that the water can be preserved for daily purposes instead of channeling it to the rivers. The prototype of SWCI is developed using an Arduino microcontroller, pushbullet API, Blynk interface designer and Thingspeak cloud services. 

Keywords: Storm Water Channel, Internet of Things, Arduino, SMART Malaysia


Vol.1,2018(26)