Journal of Shanghai Jiaotong University >
Intelligent Search Framework Technology for Power Grid Dispatching Equipment Monitoring
Received date: 2021-09-01
Online published: 2022-01-24
The development of power grid dispatching and monitoring business brings forward new requirements for the digitization and intelligence of dispatching systems. In combination with the power grid regulation data and business characteristics, this paper studies the intelligent search framework for power grid dispatching and monitoring, as well as the key technologies such as power domain thesaurus modeling, power feature word segmentation algorithm, multi-factor correlation sorting algorithm, power knowledge map correlation modeling, etc. The grid intelligent search application for regulation cloud is developed to realize the search of grid equipment model, equipment operation, monitoring events, and services, which can comprehensively, accurately, quickly and intelligently retrieve the monitoring and operation data of massive dispatching equipment, and provide strong support for the business management and decision-making of dispatching equipment monitoring.
ZHAI Haibao, HAN Bowen, WU Guosong . Intelligent Search Framework Technology for Power Grid Dispatching Equipment Monitoring[J]. Journal of Shanghai Jiaotong University, 2021 , 55(S2) : 15 -21 . DOI: 10.16183/j.cnki.jsjtu.2021.S2.003
[1] | 许洪强. 调控云架构及应用展望[J]. 电网技术, 2017, 41(10): 3104-3111. |
[1] | XU Hongqiang. Architecture of dispatching and control cloud and its application prospect[J]. Power System Technology, 2017, 41(10): 3104-3111. |
[2] | 许洪强. 面向调控云的电力调度通用数据对象结构化设计及应用[J]. 电网技术, 2018, 42(7): 2248-2254. |
[2] | XU Hongqiang. Structured design and application of power dispatching universal data object for dispatching and control cloud[J]. Power System Technology, 2018, 42(7): 2248-2254. |
[3] | 徐立. 基于加权TextRank的文本关键词提取方法[J]. 计算机科学, 2019, 46(Sup.1): 142-145. |
[3] | XU Li. Text keyword extraction method based on weighted TextRank[J]. Computer Science, 2019, 46(Sup.1): 142-145. |
[4] | 成于思, 施云涛. 面向专业领域的中文分词方法[J]. 计算机工程与应用, 2018, 54(17): 30-34. |
[4] | CHENG Yusi, SHI Yuntao. Domain specific Chinese word segmentation[J]. Computer Engineering and Applications, 2018, 54(17): 30-34. |
[5] | 张辉, 马少平. 基于用户意图的搜索结果文本突显方法[J]. 上海交通大学学报, 2020, 54(2): 117-125. |
[5] | ZHANG Hui, MA Shaoping. Intent-aware search snippet text highlighting method[J]. Journal of Shanghai Jiao Tong University, 2020, 54(2): 117-125. |
[6] | 陈张帆, 庞帆, 张婷, 等. 电力设备信息智能理解与匹配的方法研究及应用[J]. 电脑知识与技术, 2019, 15(15): 250-251. |
[6] | CHEN Zhangfan, PANG Fan, ZHANG Ting, et al. Method research and application of intelligent understanding and matching of power equipment information[J]. Computer Knowledge and Technology, 2019, 15(15): 250-251. |
[7] | 宋邓强, 周彬, 申兴旺, 等. 面向船舶分段制造过程的动态知识图谱建模方法[J]. 上海交通大学学报, 2021, 55(5): 544-556. |
[7] | SONG Dengqiang, ZHOU Bin, SHEN Xingwang, et al. Dynamic knowledge graph modeling method for ship block manufacturing process[J]. Journal of Shanghai Jiao Tong University, 2021, 55(5): 544-556. |
[8] | 官赛萍, 靳小龙, 贾岩涛, 等. 面向知识图谱的知识推理研究进展[J]. 软件学报, 2018, 29(10): 2966-2994. |
[8] | GUAN Saiping, JIN Xiaolong, JIA Yantao, et al. Knowledge reasoning over knowledge graph: A survey[J]. Journal of Software, 2018, 29(10): 2966-2994. |
[9] | 赵海波, 黄勇理, 陈胜, 等. 基于电厂运行数据库的专业智能搜索引擎[J]. 电力自动化设备, 2003, 23(8): 25-28. |
[9] | ZHAO Haibo, HUANG Yongli, CHEN Sheng, et al. Professional intelligent search engine based on running database of power plant[J]. Electric Power Automation Equipment, 2003, 23(8): 25-28. |
[10] | 尚学伟, 赵林, 范泽龙, 等. 基于调度数据网的广域数据总线体系架构和关键技术[J]. 电力系统自动化, 2018, 42(11): 109-114. |
[10] | SHANG Xuewei, ZHAO Lin, FAN Zelong, et al. Architecture and key technologies of wide-area data bus based on dispatching data network[J]. Automation of Electric Power Systems, 2018, 42(11): 109-114. |
/
〈 |
|
〉 |