A COST-EFFECTIVE SIMPLIFIED ENERGY MONITORING SYSTEM USING IOT

被引:0
|
作者
Hertzog, Pierre E. [1 ]
Swart, Arthur J. [1 ]
机构
[1] Cent Univ Technol, Ctr Sustainable Smart Cities, Dept Elect Elect & Comp Engn, Bloemfontein, South Africa
来源
3C TECNOLOGIA | 2021年 / 10卷 / 02期
关键词
Arduino; Cloud; Energy monitoring; IoT; Cost-Effective; WATER;
D O I
10.17993/3ctecno/2021.v10n2e38.117-133
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The management of any process really requires sensing, transferring and recording of relevant data for analysis purposes so as to make an informed decision. In fact, smart manufacturing requires sufficient knowledge to be available to the decision-maker to ensure that any system runs efficiently and effectively, which may include an energy generation system. The purpose of this paper is to present a simplified energy monitoring system, and its acquired data, that may be used to achieve such real-time results that can be used to make an informed decision. An experimental methodology is applied where empirical quantitative data is derived from a residential home in a suburb of a city having a population of around half a million people. Nine electrical circuits are monitored systematically using a current sensor where data is transferred to Google Sheets using an Arduino microprocessor and ESP8266 module. Custom made power usage graphs are directly visible via any electronic device, for real-time results. It is recommended to make more use of such cost-effective simplified systems in an attempt to provide sufficient knowledge to make an informed decision that may contribute to identifying energy discrepancies in any given system with the aim of improving energy efficiency.
引用
收藏
页码:117 / 132
页数:16
相关论文
共 50 条
  • [21] IoT based real time energy monitoring system using Raspberry Pi
    Mudaliar, Mani Dheeraj
    Sivakumar, N.
    INTERNET OF THINGS, 2020, 12
  • [22] IoT-Pi: A machine learning-based lightweight framework for cost-effective distributed computing using IoT
    Shao, Tianchen
    Chowdhury, Deepraj
    Gill, Sukhpal Singh
    Buyya, Rajkumar
    INTERNET TECHNOLOGY LETTERS, 2022, 5 (03)
  • [23] Energy Monitoring using IOT
    Rao, Bandi Narasimha
    Sudheer, Reddy
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020), 2020, : 868 - 872
  • [24] A Cost-Effective Framework for Monitoring Disaster Recovery Infrastructures
    Rocha, Julio
    Lucas, Marco
    Figueiredo, Ricardo
    Henriques, Joao
    Bernardo, Marco, V
    Wanzeller, Cristina
    Caldeira, Filipe
    NEW TRENDS IN DISRUPTIVE TECHNOLOGIES, TECH ETHICS AND ARTIFICIAL INTELLIGENCE, DITTET 2022, 2023, 1430 : 201 - 211
  • [25] Secure and Cost-effective Application Layer Protocol with Authentication Interoperability for IOT
    Chavan, Ajit A.
    Nighot, Mininath K.
    1ST INTERNATIONAL CONFERENCE ON INFORMATION SECURITY & PRIVACY 2015, 2016, 78 : 646 - 651
  • [26] A Cost-Effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications
    Abraham, Sherin
    Li, Xinrong
    9TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC'14) / THE 11TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC'14) / AFFILIATED WORKSHOPS, 2014, 34 : 165 - 171
  • [27] Cost-Effective System for the Classification of Muscular Intent using Surface Electromyography and Artificial Neural Networks
    Khanna, Anmol
    Muthukumaraswamy, Senthil Arumugam
    2017 INTERNATIONAL CONFERENCE OF ELECTRONICS, COMMUNICATION AND AEROSPACE TECHNOLOGY (ICECA), VOL 2, 2017, : 366 - 371
  • [28] A Cost-Effective Recommender System for Taxi Drivers
    Qu, Meng
    Zhu, Hengshu
    Liu, Junming
    Liu, Guannan
    Xiong, Hui
    PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14), 2014, : 45 - 54
  • [29] An intelligent system to connect or disconnect home appliances and monitoring energy levels using IoT
    Nalajala P.
    Godavarthi B.
    Prabhakar Reddy G.
    Int. J. Technol. Intell. Planning, 2019, 3 (209-222): : 209 - 222
  • [30] Continuous Monitoring of Electricity Energy Meter Using IoT
    Narmadha, R.
    Rajkumar, Immanuel
    Sumithra, R.
    Steffi, R.
    SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2018, VOL 2, 2020, 1057 : 731 - 738