This project is aimed at collecting data on environmental and condition monitoring parameters of selected flushing water systems in HK Airport for developing predictive analytics for maintenance work. The analysis results of the collected data shall provide insight on the root causes of the water hammer problem. The IoT sensors are installed to the flushing water tanks in ten (10) water tank rooms. Each water tank room has two tanks to be installed with the two vibration IoT sensors and two ultrasonic water level sensors. The collected data is transmitted by 3G network to Solace Event Broker for predictive model development by H2O AutoML (Auto Machine Learning).