TY - GEN
T1 - Infrastructural health monitoring using self-powered Internet-of-Things
AU - Aono, Kenji
AU - Lajnef, Nizar
AU - Faridazar, Fred
AU - Chakrabartty, Shantanu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/29
Y1 - 2016/7/29
N2 - By incorporating sensing capabilities in passive radio-frequency identification (RFID) tagging technology it is possible to extend the coverage of Internet-of-Things (IoT) to monitor the health of different segments of a large civil infrastructure like pavement highway, buildings or a multi-span bridge. The challenge in this regard is to deliver energy to the RFID sensors that are embedded inside the structures in a manner that they can continuously sense for occurrence of any rare structural events. This paper summarizes some of the progress that has been made to-date in the area of self-powered R FID sensor networks within the concept of IoT. The core sensor uses a self-powering method which directly harvests computational and storage energy from slight strain-variations in the structure. The event signatures can then be stored on a non-volatile memory and remotely retrieved at a later period of time. In this sense now retrieve later paradigm, self-powering is only used for continuous sensing and data-logging of essential statistics; whereas, data retrieval and reconfiguration is achieved using a low-cost commercial RFID system. Another advantage of using a commercial RFID system for data retrieval is that the related standards and FCC compliance are well established and the technology can be easily integrated with other IoT network infrastructure.
AB - By incorporating sensing capabilities in passive radio-frequency identification (RFID) tagging technology it is possible to extend the coverage of Internet-of-Things (IoT) to monitor the health of different segments of a large civil infrastructure like pavement highway, buildings or a multi-span bridge. The challenge in this regard is to deliver energy to the RFID sensors that are embedded inside the structures in a manner that they can continuously sense for occurrence of any rare structural events. This paper summarizes some of the progress that has been made to-date in the area of self-powered R FID sensor networks within the concept of IoT. The core sensor uses a self-powering method which directly harvests computational and storage energy from slight strain-variations in the structure. The event signatures can then be stored on a non-volatile memory and remotely retrieved at a later period of time. In this sense now retrieve later paradigm, self-powering is only used for continuous sensing and data-logging of essential statistics; whereas, data retrieval and reconfiguration is achieved using a low-cost commercial RFID system. Another advantage of using a commercial RFID system for data retrieval is that the related standards and FCC compliance are well established and the technology can be easily integrated with other IoT network infrastructure.
KW - Fatigue prediction
KW - Internet-of-Things
KW - NFC
KW - RFID
KW - infrastructural health monitoring
KW - piezo-floating gate sensor
KW - self-powered sensor
UR - http://www.scopus.com/inward/record.url?scp=84983382006&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2016.7538983
DO - 10.1109/ISCAS.2016.7538983
M3 - Conference contribution
AN - SCOPUS:84983382006
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2058
EP - 2061
BT - ISCAS 2016 - IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Y2 - 22 May 2016 through 25 May 2016
ER -