
Study of Internet of Things Technology Applied in Intelligent Substation Auxiliary System
Author(s) -
Chuankai Yang,
Jingfeng Wu,
Bingquan Tao,
Xiaolan Zhang,
Liangshu Li,
Haoyue Qu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012009
Subject(s) - computer science , internet of things , enhanced data rates for gsm evolution , linkage (software) , node (physics) , task (project management) , scheduling (production processes) , the internet , edge computing , immediacy , function (biology) , distributed computing , real time computing , computer network , embedded system , engineering , artificial intelligence , operating system , systems engineering , biochemistry , chemistry , operations management , philosophy , structural engineering , epistemology , evolutionary biology , biology , gene
In order to improve the linkage of related auxiliary systems in intelligent substation and realize the complete monitoring and control functions of the equipment in the station, this paper integrates the technologies of Internet of Things, edge computing and big data to establish an auxiliary system of IoT intelligent substation. The overall structure of the system is introduced in detail. The effective calculation and reduction of the computing task of a single edge node is achieved by the application function and the edge calculation algorithm of task balancing allocation and scheduling, effectively improving the immediacy and security of the intelligent substation auxiliary system of the Internet of Things. The construction of transportation inspection has certain guiding significance.