TY - GEN
T1 - Technology Research on the Application of High Safety Anti-Metal RFID Tags in the Asset Management of Power Equipment
AU - Liu, Jia
AU - Fu, Qingqin
AU - Yuan, Yubo
AU - Fu, Jianfeng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - The power equipment assets has the characteristics of large initial investment, high operation cost, long service time. Therefore it is the basic requirement to carry out the electrical equipment life cycle management to ensure the grid assets safety running. Using security Ultra High Frequency (UHF) Radio Frequency Identification (RFID) anti metal tag as the equipment asset identification, it is useful to ensure the legitimacy of reader and tag, and the security of data storage and transmission, and the personnel authority access control. In this paper, the characteristics, working principle and working flow of high security RFID electronic tags are designed and studied. The typical solution is provided for the intelligent management of grid assets.
AB - The power equipment assets has the characteristics of large initial investment, high operation cost, long service time. Therefore it is the basic requirement to carry out the electrical equipment life cycle management to ensure the grid assets safety running. Using security Ultra High Frequency (UHF) Radio Frequency Identification (RFID) anti metal tag as the equipment asset identification, it is useful to ensure the legitimacy of reader and tag, and the security of data storage and transmission, and the personnel authority access control. In this paper, the characteristics, working principle and working flow of high security RFID electronic tags are designed and studied. The typical solution is provided for the intelligent management of grid assets.
KW - Anti metal UHF RFID tag
KW - Life Cycle Asset Management
KW - National secret algorithm
UR - https://www.scopus.com/pages/publications/85084757411
U2 - 10.1109/AIAM48774.2019.00044
DO - 10.1109/AIAM48774.2019.00044
M3 - 会议稿件
AN - SCOPUS:85084757411
T3 - Proceedings - 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2019
SP - 185
EP - 188
BT - Proceedings - 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2019
Y2 - 17 October 2019 through 19 October 2019
ER -