Design of Water Pump Station Control in Polder System using IoT and Hybrid Fuzzy Neural Network

Abstract

This study aims to design a prototype of water pump station control in a polder system using IoT and artificial intelligence at Sringin Polder system. The design includes the hydrology analysis to define how the pump station should be set to control the level of the embankment. The second part is the IoT system that contain the sensor and interface to the water pump in the pump station. The third part is the core of control system using hybrid fuzzy neural network as the heart of the control system. Pump station has important role in the polder system to control the level of water in embankment. Five pumps in the system should operate based on schedule determined by the hydrology modelling. Since it is located in separate area with the control room, MQTT protocol is used to deliver data communication in both ways, to send the water level detected by ultrasonic sensor and also to switch on and off the pump by control system. In other hand, hybrid fuzzy neural network is used to control the pump scheduling based on water level detected.