An IoT Based Dam Water Management System for Agriculture

C. Chellaswamy, J. Nisha, K. Sivakumar, R. Kaviya
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引用次数: 8

Abstract

Water plays an important role in our day to day life in various fields. Introduction of new methods to solve the water-related problems includes adaptive management, remote sensing with the new concepts such as water security, global integration of information, etc. In this paper, we present an Internet of Things (IoT) based dam water management system (IoT-DWM) for reducing the wastage of water. The proposed IoT-DWM consists of various parts such as field sensing section, IoT network section, and dam control section, etc. The real data can be observed through different sensors placed in the agriculture area and updated it in the cloud. The dam controller receives the real data of the particular area and estimates the water requirement. The water requirement will vary depending upon the crop cultivated in that area. The controller considers different parameters such as types of crop in that area, temperature, humidity, and wind speed while estimating the requirement of water. The simulation result shows that the proposed IoT-DWM provides better results, save water in a considerable amount and leads to reduced water scarcity.
基于物联网的农业大坝水管理系统
水在我们日常生活的各个领域起着重要的作用。引入新的方法来解决与水有关的问题,包括自适应管理、遥感与水安全等新概念、全球信息集成等。在本文中,我们提出了一个基于物联网(IoT)的大坝水管理系统(IoT- dwm),以减少水的浪费。本文提出的IoT- dwm由现场传感段、物联网网络段、大坝控制段等多个部分组成。可以通过放置在农业区域的不同传感器观察到真实数据,并在云中更新数据。大坝控制器接收特定区域的真实数据并估计需水量。需水量将根据该地区种植的作物而有所不同。控制器在估计需水量时考虑不同的参数,如该地区的作物类型、温度、湿度和风速。仿真结果表明,提出的IoT-DWM方案效果较好,节约了大量的水资源,减少了水资源短缺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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