中国电力 ›› 2022, Vol. 55 ›› Issue (9): 105-110,120.DOI: 10.11930/j.issn.1004-9649.202111096

• 电网 • 上一篇    下一篇

基于混合神经网络的电力调度文本事件抽取方法

刘赫1, 皮俊波1, 宋鹏程1, 赵翰林1, 张越2,3, 刘显壮1   

  1. 1. 国家电网有限公司 国家电力调度控制中心,北京 100031;
    2. 南瑞集团有限公司(国网电力科学研究院有限公司),江苏 南京 211106;
    3. 北京科东电力控制系统有限责任公司,北京 100192
  • 收稿日期:2021-11-21 修回日期:2022-07-28 出版日期:2022-09-28 发布日期:2022-09-20
  • 作者简介:刘赫(1990—),男,硕士,工程师,从事电力系统调度控制研究,E-mail:liu-he@sgcc.com.cn;张越(1989—),男,通信作者,硕士,工程师,从事人工智能在电力系统的应用研究,E-mail:zhangyue@sgepri.sgcc.com.cn
  • 基金资助:
    国家电网有限公司科技项目(5108-202040024A-0-0-00)。

An Event Extraction Method for Power Dispatching Text Based on Hybrid Neural Network

LIU He1, PI Junbo1, SONG Pengcheng1, ZHAO Hanlin1, ZHANG Yue2,3, LIU Xianzhuang1   

  1. 1. National Electric Power Dispatching and Control Center of State Grid Corporation of China, Beijing 100031, China;
    2. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China;
    3. Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100192, China
  • Received:2021-11-21 Revised:2022-07-28 Online:2022-09-28 Published:2022-09-20
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (No.5108-202040024A-0-0-00)

摘要: 为了提升电力调度文本在业务场景的应用效果,提出基于混合神经网络的电力调度文本事件抽取方法。以电力调度文本故障处置预案为研究对象,建立以预案触发词为中心的事件抽取模型。通过仿真案例验证了所提方法具有较好的事件抽取效果,能够提升实体和实体关系识别的准确率。

关键词: 电网调度, 混合神经网络, 触发词, 事件抽取

Abstract: In order to improve the application effect of power dispatching text in business scenarios, a method for extracting power dispatching text events is proposed based on hybrid neural network. Taking the power dispatching text fault handling plan as the research object, an event extraction model is established centering on the trigger words of the plan. It is proved through case simulation that the proposed method can better extract the entity elements in the plan event. Compared with other methods, the accuracy of the entity recognition and entity relation recognition is improved.

Key words: power grid dispatching, hybrid neural network, trigger word, event extraction