TY - GEN
T1 - In-door location-based smart factory cloud platform supporting device-to-device self-collaboration
AU - Jo, Hyeonggon
AU - Kang, Soonju
AU - Kwon, Hyo Jeon
AU - Lee, Jae Duck
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/3/17
Y1 - 2017/3/17
N2 - Recently, the rapid advancement of technology related to Internet of Things (IoT) has increased the development of smart factory that is intelligent manufacturing system based on IoT and cyber physical system. However, the general approach of smart factory does not present a realistic service model. In this paper, we present the indoor location-based smart factory (iLSF) platform, a service model for collaboration among factory workers, facilities, manufacturing materials, and factory control system. The iLSF collects the information from the factory through a protocol that supports self-collaboration among wearable devices, tags of machines, and anchor nodes. The proposed platform enables a worker to automatically configure a machine with their personally preferred value, and receives the working history from a machine. Finally, we suggest various specific service scenarios such as a safety notification to workers in a dangerous environment and a guide to workers informing them of the proper manufacturing process.
AB - Recently, the rapid advancement of technology related to Internet of Things (IoT) has increased the development of smart factory that is intelligent manufacturing system based on IoT and cyber physical system. However, the general approach of smart factory does not present a realistic service model. In this paper, we present the indoor location-based smart factory (iLSF) platform, a service model for collaboration among factory workers, facilities, manufacturing materials, and factory control system. The iLSF collects the information from the factory through a protocol that supports self-collaboration among wearable devices, tags of machines, and anchor nodes. The proposed platform enables a worker to automatically configure a machine with their personally preferred value, and receives the working history from a machine. Finally, we suggest various specific service scenarios such as a safety notification to workers in a dangerous environment and a guide to workers informing them of the proper manufacturing process.
KW - Device-to-Device protocol
KW - Internet of Things
KW - Self-configuration
KW - Smart Factory
UR - http://www.scopus.com/inward/record.url?scp=85017665286&partnerID=8YFLogxK
U2 - 10.1109/BIGCOMP.2017.7881691
DO - 10.1109/BIGCOMP.2017.7881691
M3 - Conference contribution
AN - SCOPUS:85017665286
T3 - 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
SP - 348
EP - 351
BT - 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
Y2 - 13 February 2017 through 16 February 2017
ER -