TY - GEN
T1 - Design and implementation of intelligent home power control systems by using raspberry Pi and AWS cloud service
AU - Yichen, Pan
AU - Kim, Jaesoo
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/12/20
Y1 - 2019/12/20
N2 - In the early years many fire disasters caused by electrical appliance which is dangerous and seriously influence people's daily life. With the development of technology in the field of Internet of things, more and more intelligent electric appliances are appearing. In this situation, how to effectively and securely control different devices has become an important research direction. In this paper, we design and implement an intelligent home power control system to manage electric appliances and share collected data by using Raspberry pi and amazon cloud service. It greatly improves the security of electric appliances and provides data support for the establishment of a smart city. Different to other studies, this paper redefines intelligent home power control systems from three aspects: low-energy, security and data sharing. By analyzing and processing the collected sensor information, it can provide an accurate prediction for the safety of household and regional electricity consumption.
AB - In the early years many fire disasters caused by electrical appliance which is dangerous and seriously influence people's daily life. With the development of technology in the field of Internet of things, more and more intelligent electric appliances are appearing. In this situation, how to effectively and securely control different devices has become an important research direction. In this paper, we design and implement an intelligent home power control system to manage electric appliances and share collected data by using Raspberry pi and amazon cloud service. It greatly improves the security of electric appliances and provides data support for the establishment of a smart city. Different to other studies, this paper redefines intelligent home power control systems from three aspects: low-energy, security and data sharing. By analyzing and processing the collected sensor information, it can provide an accurate prediction for the safety of household and regional electricity consumption.
KW - Amazon cloud service
KW - Arduino
KW - Home automation
KW - Intelligent home power control system
KW - IoT
KW - Raspberrypi
UR - http://www.scopus.com/inward/record.url?scp=85082534742&partnerID=8YFLogxK
U2 - 10.1145/3377170.3377191
DO - 10.1145/3377170.3377191
M3 - Conference contribution
AN - SCOPUS:85082534742
T3 - ACM International Conference Proceeding Series
SP - 493
EP - 496
BT - ICIT 2019 - Proceedings of the 7th International Conference on Information Technology
PB - Association for Computing Machinery
T2 - 7th International Conference on Information Technology: IoT and Smart City, ICIT 2019
Y2 - 20 December 2019 through 23 December 2019
ER -
