Estimating Drinking Water Consumption of IoT Dispenser System

• Main Authors: Yu-Ting Cheng, 鄭宇婷
• Other Authors: Ray-Guang Cheng
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/x282m5

碩士 === 國立臺灣科技大學 === 電子工程系 === 107 === From the perspective of water dispenser manufacturers, we take the new business model, Pay-per-liter, as the starting point. Used Internet of Things technology to collect the data from the water dispenser, designed algorithms to capture water patterns and used linear regression model predicted the water consumption. And then used the stratified sampling method to estimate the average water consumption per month in NTUST, in order to understand the current drinking water use and analyze the drinking water cost per liter in the present business model. Finally, proposed a price evaluation formula as a reference for developing pricing strategies of Pay-per-liter services in the future.