Fuzzy Logic for Flood Detection System in an Embedded System

Flood is a natural phenomenon that occurs due to accidental and unpredictable circumstances. It occurs when water is overflowing from drains and causing waterlogging on the mainland. Thus, the potential of flood water in the drains should be monitored by observing water level and water velocity. The water level is monitored by ultrasonic sensors, while water flow sensor is used to sense water velocity. Embedded System is a small system designed for a specific purpose. One of its kind that is good enough for prototyping is arduino nano as a processing device. It is used to process the data from ultrasonic sensors and water flow sensor and then provide decision about the potential of flood occurence. This process has a high degree of ambiguity, so Fuzzy Logic is a good choice to overcome the problem. Because of the difficulty to do an onsite monitoring, it is carried out remotely using NRF24L01 module as a wireless radio frequency transmission device. The porototype system has been succesfully implemented in this research. The result shows that water speed reading has an error of 0.608%, water level reading has an error of 4,640%, the data transmission has a time delay of 1147ms, and all of the fuzzy decision making is valid. So, it can be concluded that the results from this prototype is acceptable and ready to be implemented in the real world application.