我們從飲水機廠商的角度，以「賣飲水服務」為主的新商業模式—Pay-per-liter為出發點，用物聯網技術蒐集飲水機資料，設計演算法抓出用水Pattern，並使用線性回歸模型預測用水量，再應用分層式抽樣方法估計全校一個月的平均用水量，以了解目前台灣科技大學的飲水狀況，分析目前模式下每公升的飲水成本，並提出價格計算公式，以做為未來發展Pay-per-liter服務的參考依據，使得廠商能夠在更清晰透明的結構下，思考新的價格策略。

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.

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