%0 Conference Paper
%A Despa, Dikpride
%A Mardiana, Mardiana
%A Nama, Gigih Forda
%A Bernard, Michael Zontche 
%B Joint International Conference 3 rd  ICNERE and 8 th  EECCIS 
%C Batu, Malang, Indonesia
%D 2016
%F eprints:26355
%P 147-150
%T Multi-Area Smart Monitoring of Electrical Quantities Based on Mini Single Board Computer BCM 2835
%U http://digilib.unila.ac.id/26355/
%X Abstract— Multi-Area Smart Monitoring Systems are applications and devices that can monitor the amount of electricity at various locations in the distribution panel. This paper presents a scheme for multi-area smart monitoring of electrical quantities trends in real-time, to overcome the limitations of techniques that are applicable only to one panel of a three-phase distribution system. The implementation of the proposed scheme increases the possibility of taking preventive action for protection in case of abnormal conditions. A Single Board Computer BCM2835 SoC, ARM11767JZF-S 700 MHz processor is utilized to serve as an interface for obtaining data of the electrical quantities. It collects the data and saves them to a database system. All data utilized in this study are obtained from the LAB-JTE and the ICT-unila. Both locations are on the campus of the UNILA. These data have been recorded and sent to a computer server through the Local Area Network connection and monitored in real time. The monitoring of data which was conducted from the 29th May to the 31st May 2016 produced significant results, showing that the voltage, current and load connected to the monitored phase, relatively has asymmetric trends. The results also demonstrated that at noon, the electrical energy consumption trends at the Unila is in accordance with the working hours there. Finally, by comparing the results obtained from the monitoring of the electrical quantities trends at the LAB-JTE and the ICT-Unila, it is shown that the conditions of the electrical quantities at the ICT-Unila has better measurement results.     Keywords— Multi-area panel distribution, real-time monitoring, Electrical Quantities, BCM2835, Unila