北阿坎德邦智能城市物联网设备长期耗电量分析

Rakesh Kumar, Rakesh Ranjan, Mukesh Chandra Verma
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引用次数: 0

摘要

北阿坎德邦是一个充满山脉、森林、植物和动物的邦。德拉敦是住房和城市事务部(MoHUA)在智慧城市使命(SCM)下的第三轮智慧城市之一。该项目由教育部和北阿坎德邦政府以50:50的财务比例提供资金。在这个特派团下有40个项目。在德拉敦市的IT倡议下,安装了各种物联网设备。电力需求是该项目下每个站点的主要挑战之一。根据现场负荷需要,安装了各种电能表。这些电能表的范围从1kw, 2KW和3KW。物联网设备的太阳能供应也被考虑作为次要电源。由于设备的关键性,UPS电源也在各站点提供。本研究的目的是根据2020年至2021年9月的物联网消耗和连接负载数据,找出未来五年的电力需求。这有助于DISCOMs有效地管理安装物联网设备的所有重要站点。本文分析了年负荷预测的计算方法,并在此基础上利用人工神经网络计算了未来五年的负荷需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Smart City IoT Devices Power Consumption in Long Terms in Uttarakhand State
Uttarakhand is one of the State which is full of mountains, forests flora and fauna. Dehradun is one of the Smart City selected in third round under the Smart City Mission (SCM) by the Mission of Housing and Urban Affairs (MoHUA). The project is funded by MoHUA and Government of Uttarakhand on 50:50 financial ratio basis. Under this mission there are 40 projects. Various IoT Devices are installed under IT initiative in Dehradun City. The requirement of electricity is one of the major challenge at every site under this project. There are various energy meter installed based on the load requirement at site. These energy meters are ranging from 1 KW, 2KW and 3KW. The provision of solar is also factored for IoT devices as secondary source of power. Due to criticality of devices the UPS power supply is also provisioned at various sites. The objective of this study is to find out the requirement of electricity for further five years based on the IoT consumption and connected load data of year 2020 till September 2021. This helps DISCOMs to effectively manage all important sites where IoT devices are installed. In this paper the calculation of yearly load prediction is analyzed and based on that further five years load requirement is calculated using Artificial Neural Network.
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