基于多源數(shù)據(jù)融合的電網(wǎng)設(shè)備技術(shù)監(jiān)督知識(shí)圖譜構(gòu)建
李堅(jiān)林1，張晨晨2，趙昊然3，黃濤4，萬(wàn)陽(yáng)3，王幸偉4
(1 國(guó)網(wǎng)安徽省電力有限公司，安徽 合肥 230026；
2 國(guó)網(wǎng)安徽省電力有限公司電力科學(xué)研究院，安徽 合肥 230601；
3 國(guó)網(wǎng)安徽省電力有限公司六安供電公司，安徽 六安 237000；
4 國(guó)網(wǎng)安徽省電力有限公司阜陽(yáng)供電公司，安徽 阜陽(yáng) 236001)
摘 要：電網(wǎng)企業(yè)多年技術(shù)監(jiān)督工作開(kāi)展積累了大量數(shù)據(jù)。針對(duì)海量技術(shù)監(jiān)督數(shù)據(jù)挖掘深度淺、數(shù)據(jù)價(jià)值低的現(xiàn)狀，提出一種多源數(shù)據(jù)融合的方法構(gòu)建電網(wǎng)技術(shù)監(jiān)督知識(shí)圖譜，對(duì)其本體設(shè)計(jì)、數(shù)據(jù)的獲取與抽取、知識(shí)融合及可視化展示等內(nèi)容進(jìn)行了研究，電網(wǎng)設(shè)備技術(shù)監(jiān)督知識(shí)圖譜的應(yīng)用，實(shí)現(xiàn)了基于技術(shù)監(jiān)督知識(shí)圖譜的智能檢索問(wèn)答和設(shè)備家族缺陷識(shí)別，為電網(wǎng)設(shè)備數(shù)字化管理提升提供了思路。
關(guān)鍵詞：多源數(shù)據(jù)；電網(wǎng)設(shè)備；技術(shù)監(jiān)督；知識(shí)圖譜
中圖分類號(hào)：TM727 ；TP391 文獻(xiàn)標(biāo)識(shí)碼：B 文章編號(hào)：1007-3175(2021)09-0060-04
Construction of Power Grid Equipment Technical Supervision Knowledge
Graph Based on Multi-Source Data Fusion
LI Jian-lin1, ZHANG Chen-chen2, ZHAO Hao-ran3, HUANG Tao4, WAN Yang3, WANG Xing-wei4
（1 State Grid Anhui Electric Power Co., Ltd, Hefei 230026, China;
2 State Grid Anhui Electric Power Co., Ltd. Electric Power Research Institute, Hefei 230601, China;
3 State Grid Anhui Electric Power Co., Ltd. Lu’an Power Supply Company, Lu’an 237000, China;
4 State Grid Anhui Electric Power Co., Ltd. Fuyang Power Supply Company, Fuyang 236001, China）
Abstract: Power grid enterprises have carried out technical supervision for many years and accumulated a large amount of data.Based on the current situation of data value, this paper proposed a multi-source data fusion method to construct the knowledge map of power grid technical supervision.This research also studied its ontology design, data extraction, knowledge fusion, and visual display.The application of power grid equipment technical supervision knowledge atlas realized intelligent retrieval question and answer and equipment family defect identification based on knowledge graph of technical supervision, which provides an idea for improving the digital management of power grid equipment.
Key words: multi-source data; power grid equipment; technical supervision; knowledge graph
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