A Smart Home Energy Management System Using IoT and Big Data Analytics Approach

A Smart Home Energy Management System Using IoT and Big Data Analytics Approach
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DOI:
10.1109/tce.2017.015014
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发表时间:
2017-11-01
影响因子:
4.3
通讯作者:
AliKarar, Mazin
AliKarar, Mazin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Al-Ali, A. R.;Zualkernan, Imran A.;AliKarar, Mazin

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能源成本和需求的增加导致许多组织寻找监测、控制和节能的智能方法。智能能源管理系统(EMS)可以在满足能源需求的同时降低成本。物联网(IoT)和大数据的新兴技术可以用来更好地管理住宅,商业和工业部门的能源消耗。本文介绍了一种智能家居的能源管理系统(EMS)。在该系统中,每个家庭设备与数据采集模块接口,该数据采集模块是具有唯一IP地址的IoT对象,从而导致设备的大型网状无线网络。数据采集片上系统(SoC)模块从每个智能家居的每个设备收集能耗数据,并将数据传输到中央服务器进行进一步处理和分析。来自所有住宅区的这些信息作为大数据积累在公用事业公司的服务器中。拟议的EMS利用现成的商业智能(BI)和大数据分析软件包,以更好地管理能源消耗并满足消费者需求。由于空调占阿拉伯海湾国家电力消耗的60%,因此HVAC(供暖,通风和空调)单元已被视为案例研究,以验证所提出的系统。在实验室中构建并测试了原型,以模拟小型住宅区HVAC系统(1)。
Increasing cost and demand of energy has led many organizations to find smart ways for monitoring, controlling and saving energy. A smart Energy Management System (EMS) can contribute towards cutting the costs while still meeting energy demand. The emerging technologies of Internet of Things (IoT) and Big Data can be utilized to better manage energy consumption in residential, commercial, and industrial sectors. This paper presents an Energy Management System (EMS) for smart homes. In this system, each home device is interfaced with a data acquisition module that is an IoT object with a unique IP address resulting in a large mesh wireless network of devices. The data acquisition System on Chip (SoC) module collects energy consumption data from each device of each smart home and transmits the data to a centralized server for further processing and analysis. This information from all residential areas accumulates in the utility's server as Big Data. The proposed EMS utilizes off-the-shelf Business Intelligence (BI) and Big Data analytics software packages to better manage energy consumption and to meet consumer demand. Since air conditioning contributes to 60% of electricity consumption in Arab Gulf countries, HVAC (Heating, Ventilation and Air Conditioning) Units have been taken as a case study to validate the proposed system. A prototype was built and tested in the lab to mimic small residential area HVAC systems(1).