The percentage of fresh water resource availability in the world is diminishing every year. According to a world economic forum survey, the increase in water demand will result in high scarcity globally in the next two decades. The eradication of the water demand increase and reducing the losses during the transportation of water is challenging. Thus accordingly, an Internet of Things (IoT)-based architecture integrated with Fog for underground water distribution system has been proposed. Towards designing an IoT water distribution architecture for a smart city, we need to first forecast the water demand for consumers. Hence, accordingly, water demand forecasting has been carried out on a daily basis for a period of three months as a case study using autoregressive integrated moving average (ARIMA) and regression analysis. Based on water demand forecasting analysis, a water distribution design for an IoT-based architecture has been carried out using hydraulic engineering design for proper distribution of water with minimal losses which would result in the development of a smart water distribution system (SWDS). This has been carried out using EPANET.

全世界淡水资源的可用性每年都在减少。根据世界经济论坛的一项调查，用水需求的增加将导致未来二十年全球范围内的高度短缺。消除水需求的增加和减少水运输过程中的损失是具有挑战性的。因此，因此，已经提出了与雾集成的基于物联网（IoT）的架构，用于地下水分配系统。在为智能城市设计IoT配水架构时，我们需要首先预测消费者的用水需求。因此，作为案例，使用自回归综合移动平均值（ARIMA）和回归分析的案例研究每天进行了三个月的需水量预测。基于对水需求的预测分析，已经使用水力工程设计对基于物联网的架构进行了水分配设计，以合理分配水，而损失最小，这将导致开发智能水分配系统（SWDS）。这是使用EPANET进行的。