Real-Time Modelling And Implementation Of A Flood Observatory System (FOS) On IoT Platform

Azman, Amierul Syazrul Azril (2018) Real-Time Modelling And Implementation Of A Flood Observatory System (FOS) On IoT Platform. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Real-Time Modelling And Implementation Of A Flood Observatory System (FOS) On IoT Platform.pdf - Submitted Version Download (854kB)

Abstract

Flash and seasonal flooding events have always been a concern in many countries around the world, particularly in the tropical region with heavy rain falls. Thus, there is always a demanding urge to set an effective flood observatory system in line with the increasingly changing environment and growing population located in these flood prone regions. The key focus area of implementation is to prompt the detection to alert relevant authorities and public in the flood-prone region as events are recorded in the system through the IoT platform. The proposed model is designed and developed from a real-time measurement collected from measuring points. The real-time data on rainfall variation in the tropical regions are also collected for further analysis to strengthen the outcome of the proposed model, particularly in the early warning system. The collected data is then further used in the analysis and evaluation of flood prediction system for future flood mitigation plans by relevant authorities and research community.

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