Implementation of an Integrated Mobile Solar Power Monitoring System for Images and Battery Parameters

Wei, Chia Chien; Yu, Chi-Han; Chiang, Lawrence; Gong, Hei-Ming; Huang, Yung-Fa

doi:10.1109/cmcsn.2016.25

Cited by 1 publication

(1 citation statement)

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“…The applications on the market today are mostly contain a large number of built-in advertising and commercial applications either used of online or web-based applications [6]. Hence, the development of the application creates more attention to real-time and online systems where the important of user's experience, system's function, monitoring and management is crucial [7,8]. Other general way to monitor is transfers the data to the remote server by wired network using the PC-based system.…”

Section: Introductionmentioning

confidence: 99%

Mobile Application for Electric Power Monitoring on Energy Consumptions at a Campus University

Kassim¹,

Rahman²,

Yahya³

et al. 2018

IJEECS

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This paper presents a research on electric power monitoring prototype mobile applications development on energy consumptions in a university campus. Electric power energy consumptions always are the issue of monitoring usage especially in a broad environment. University campus faces high used of electric power, thus crucial analysis on cause of the usage is needed. This research aims to analyses electric power usage in a university campus where implemented of few smart meters is installed to monitor five main buildings in a campus university. A Monitoring system is established in collecting electric power usage from the smart meters. Data from the smart meter then is analyzed based on energy consume on 5 buildings. Results presents graph on the power energy consume and presented on mobile applications using Live Code coding. The methodology involved the setup of the smart meters, monitoring and data collected from main smart meters, analyzed electrical consumptions for 5 buildings and mobile system development to monitor. A Live Code mobile app is designed then data collected from smart meter using ION software is published in graphs. Results presents the energy consumed for 5 building during day and night. Details on maximum and minimum energy consumption presented that show load of energy used in the campus. Result present Tower 1 saved most eenergy at night which is 65% compared to block 3 which is 8% saved energy although block 3 presents the lowest energy consumption in the working hours and non-working hours. This project is significant that can help campus facility to monitor electric power used thus able to control possible results in future implementations.

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Section: Introductionmentioning

confidence: 99%