TY - GEN
T1 - A RFID Online Sensing Tag for Electric Power Materials
AU - Song, Rui
AU - Zhang, Jun
AU - Tan, Yuanpeng
AU - Wang, Chen
AU - Luo, Yang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - A RFID online sensing tag for power materials is proposed in this article. The tag is an active device that can accurately track the location, record information, and monitor the status of power materials. It integrates control, RFID, BLE, communication, positioning and multiple sensing modules/units but only consumes a power of 66 μA at 3.3 V. In view of the complex communication environment on the power site, an anti-metal antenna is designed, which can effectively improve the reading distance of the tag to be 8 m. Experiments were carried out to demonstrate the performance of the proposed tag. This design allows for the management and monitoring of power materials throughout its entire life-cycle, including procurement and construction, operation and maintenance, retirement, and scrapping.
AB - A RFID online sensing tag for power materials is proposed in this article. The tag is an active device that can accurately track the location, record information, and monitor the status of power materials. It integrates control, RFID, BLE, communication, positioning and multiple sensing modules/units but only consumes a power of 66 μA at 3.3 V. In view of the complex communication environment on the power site, an anti-metal antenna is designed, which can effectively improve the reading distance of the tag to be 8 m. Experiments were carried out to demonstrate the performance of the proposed tag. This design allows for the management and monitoring of power materials throughout its entire life-cycle, including procurement and construction, operation and maintenance, retirement, and scrapping.
KW - indoor positioning
KW - online sensing
KW - power material management
KW - RFID
UR - http://www.scopus.com/inward/record.url?scp=85210811142&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-70684-4_12
DO - 10.1007/978-3-031-70684-4_12
M3 - Conference Proceeding
AN - SCOPUS:85210811142
SN - 9783031706837
T3 - Lecture Notes in Networks and Systems
SP - 134
EP - 146
BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
A2 - Abdul Majeed, Anwar P.P.
A2 - Yap, Eng Hwa
A2 - Liu, Pengcheng
A2 - Huang, Xiaowei
A2 - Nguyen, Anh
A2 - Chen, Wei
A2 - Kim, Ue-Hwan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Y2 - 6 December 2023 through 8 December 2023
ER -
