Open AccessResearch on an Intelligent Search Function Architecture in Distribution Network Situation Awareness System
Author(s) -
Hailei Meng,
Mu Fang,
Longtan Li,
Zhiqiang Wang,
Qingtao Cao,
Liu Chun-xiu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1576/1/012053
Subject(s) - situation awareness , computer science , path (computing) , function (biology) , big data , data collection , architecture , mode (computer interface) , data mining , human–computer interaction , computer network , engineering , art , statistics , mathematics , evolutionary biology , visual arts , biology , aerospace engineering
After the establishment of the distribution network situation awareness system, it faces the problem of large-scale data search technology. We implement path analysis through a complete intelligent search function, and propose a big data search engine framework suitable for situational awareness systems, and solve the problem of data sharing and intelligent access in multiple systems. Especially in the collection and display of cross-region data, we combed the calling relationship between the systems in detail, and based on this, carried out the exploration of the optimal technical path of the intelligent search technology adapted to the situation awareness of the distribution network. Finally, the overall framework of the intelligent search engine in the current operating mode of the power system is proposed, and the specific analysis of the implementation path is given.