scholarly journals Performance Analysis of Smart Energy Monitoring Systems in Real-time

2020 ◽  
Vol 10 (3) ◽  
pp. 5808-5813 ◽  
Author(s):  
R. Govindarajan ◽  
S. Meikandasivam ◽  
D. Vijayakumar

The use of smart energy monitoring systems in buildings offers significant potential for energy saving. The introduction of a new kind of energy monitoring system is essential in the consumer-side in order to meet the demands of energy conservation. In this paper, four energy monitoring systems based on advanced wireless technology are proposed. The design and implementation of the smart real-time energy monitoring systems is analyzed with respect to their performance. The proposed systems utilize advanced wireless technologies like the Zigbee module, Internet of Things (IoT), Android Mobile Apps, and cloud computing for interfacing the information between the meters and the consumer end. A digital power meter is installed in the main panel, interfaced with a communication gateway and parameters such as voltage, current, power, power factor, and the harmonics of household appliances are measured in real-time. These systems provide power consumption details to the consumer and allow interacting with them by giving instant data such as live power tracking, identification of abnormal patterns of energy usage, energy bill estimation, and energy usage information.

Author(s):  
Amitava Choudhury ◽  
Kalpana Rangra

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.


Author(s):  
Mao Chen ◽  
Yong Lin

<span lang="EN-US">T</span><span lang="EN-US">o effectively improve the operation</span><span lang="EN-US">,</span><span lang="EN-US"> management, and service level of the intelligent park, a preliminary study and discussion is conducted on the design and implementation of the Internet of Things (IoT) information system in the intelligent park. Firstly, the hardware architecture and technical scheme of the information system of intelligent park based on Internet of things and cloud computing are proposed, and the information system architecture of the intelligent park is introduced. The construction of the system architecture is based on the three-tier architecture of perception, network and application</span><span lang="EN-US">; secondly, based on this system architecture, the functions of each component of the information system are explained from the perception layer, network layer and application layer, and some typical sensors in the system are introduced; finally, the system is analyzed experimentally.</span><span lang="EN-US">The results show that the system can realize the interconnection among various communication terminals and improve the efficiency of cooperation among various systems.</span><span lang="EN-US">It can be concluded that the information system of the intelligent park based on cloud computing and Internet of things can achieve the desired effect.</span>


Author(s):  
Ainul Hizadaleem bin Alaudin ◽  
Md Mahfudz Md Zan ◽  
Abdul Razak Mahmud ◽  
Cik Ku Haroswati Che Ku Yahaya ◽  
Mat Ikram Yusof ◽  
...  

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