Development of smart energy monitoring using NB-IOT and cloud

被引:1
|
作者
Siva Balan R.V. [1 ]
Gouri M.S. [2 ]
Senthilnathan T. [1 ]
Gondkar S.R. [3 ]
Gondar R.R. [1 ]
Loveline Zeema J. [1 ]
Jothikumar R. [4 ]
机构
[1] Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore
[2] Department of Computer Science and Engineering, Baselios Mathews II College of Engineering Lake View, Muthupilakadu, Sasthamcotta, Kerala, Kollam
[3] Department of Electronics and Communication and Engineering, BMS Institute of Technology and Management, Bengaluru
[4] Department of Computer Science and Engineering, Shadan College of Engineering and Technology, Peeran Cheru, Hyderabad
来源
Measurement: Sensors | 2023年 / 29卷
关键词
Cloud; NB-IOT; Network; Smart energy; Smart power monitoring system;
D O I
10.1016/j.measen.2023.100884
中图分类号
学科分类号
摘要
IoT-based applications are growing in popularity nowadays because they offer effective answers to numerous current problems. In this research, With the aim of decreasing human efforts for monitoring the power units and increasing users' knowledge of excessive electricity usage, an IoT-based electric metre surveillance system utilising an Android platform has been developed. With the help of an Arduino Uno and an optical sensor, the electric analyser pulse is captured. To reduce human mistake and the expense of energy usage, a low-cost wireless network of sensors for digital energy metres is implemented alongside a smartphone application that can autonomously read the metre of the unit. In this research, an intelligent power monitoring system with effective communication modules has been developed to make wise use of the electricity. The controller, NB-IoT connection module, and cloud are the three main components of an IOT-based smart energy metre system. The controller is essential for maintaining the functionality of each component. This solution reduces the need for human involvement in electricity maintenance by connecting energy metres to the cloud using an NB-IoT communication module. The IoT-based metre reading system in the proposed work is created to monitor and analyse the metre reading, and the service provider can cut off the source of electricity whenever the customer fails to pay the monthly bill. It also eliminates the need for human intervention, provides accurate metre reading, and guards against billing errors. The proposed SPM improves the overall accuracy ranges of 7.42, 27.83, and 20% better than DR, OREM, and SLN respectively. © 2023
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