Title: Using RFID technology to develop an intelligent equipment lock management system

Authors: Yeh-Cheng Chen; Ruey-Shun Chen; Hung-Min Sun; S. Felix Wu

Addresses: Department of Computer Science, University of California, Davis, CA, USA ' Department of Information Management, National Chiao Tung University, Hsinchu, Taiwan ' Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan ' Department of Computer Science, University of California, Davis, CA, USA

Abstract: The equipment lock has acted as an important tool for power companies to protect the electricity metering equipment. However, the conventional equipment lock has two potential problems: vandalism and counterfeiting. To fulfil the control and track the potential illegal behaviour, the human labour and paper are required to proceed with related operations, resulting in the consumption of a large amount of human resources and maintenance costs. This research focused on the design of RFID technology applied to the traditional equipment lock, with the mobile and electronic technology, we are able to strengthen the management/operating convenience of the lock and provide the solutions for anti-counterfeiting and spoilage detection, so that the national energy can be properly protected and fairly distributed. The integration of RFID data interface and mobile sensing devices will enhance the control of electricity meters and other metering devices for the power company, it will also provide accurate and mobile support with interactive mode, real-time display by the system, and real-time information services. It will serve as the 'last-mile' management tool for the electrical equipment and improve development of the intelligent electric grids.

Keywords: radio frequency identification; RFID; equipment lock management; ELM; near field communication; NFC; power company.

DOI: 10.1504/IJCSE.2019.103810

International Journal of Computational Science and Engineering, 2019 Vol.20 No.2, pp.157 - 165

Received: 09 Mar 2018
Accepted: 13 Jul 2018

Published online: 29 Nov 2019 *

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