中国电力 ›› 2021, Vol. 54 ›› Issue (7): 198-207.DOI: 10.11930/j.issn.1004-9649.202011001

• 信息与通信 • 上一篇    下一篇

人工智能技术在火电行业的应用探讨

华志刚1, 范佳卿2, 郭荣2, 汪勇2, 吴潇翔3   

  1. 1. 国家电力投资集团有限公司战略研究院,北京 100034;
    2. 上海发电设备成套设计研究院有限责任公司,上海 200240;
    3. 南昌大学 信息工程学院,江西 南昌 330031
  • 收稿日期:2020-11-02 修回日期:2021-04-27 发布日期:2021-07-12
  • 作者简介:朱罡(1969-),男,硕士,高级工程师,从事电力系统调度运行、安全生产及清洁能源消纳关键技术等研究,E-mail:zhugang69@tom.com;李延和(1983-),男,通信作者,硕士,高级工程师,从事清洁能源调度运行及消纳技术研究,E-mail:lyhe0416@163.com
  • 基金资助:
    国家电力投资集团有限公司重点科技项目(燃煤机组三维数字化状态检修与运行优化系统技术研究及示范应用,TC2019HD10)

Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry

HUA Zhigang1, FAN Jiaqing2, GUO Rong2, WANG Yong2, WU Xiaoxiang3   

  1. 1. Strategic Research Institute of State Power Investment Co., Ltd., Beijing 100034, China;
    2. Shanghai Power Equipment Research Inst., Shanghai 200240, China;
    3. College of Information Engineering, Nanchang University, Nanchang 330031, China
  • Received:2020-11-02 Revised:2021-04-27 Published:2021-07-12
  • Supported by:
    This work is supported by Key Technology Project of State Power Investment Group Co., Ltd. (Research and Demonstration Application of 3D Digital Condition Based Maintenance and Operation Optimization System for Coal Fired Units, No.TC2019HD10)

摘要: 在调研国内外人工智能发展现状和技术路线的基础上,思考人工智能技术在火电行业的应用场景和技术突破点,探讨人工智能在火电行业的技术发展方向。分析火电企业生产经营过程中,在感知、决策、执行等环节所需的计算机视觉、大数据、物联网、智能控制和智能机器人等技术路线,论述在安全管理、生产管理以及经营决策等场景的人工智能技术应用,并对典型应用案例进行分析,提出人工智能技术在火电行业的重点研究方向。

关键词: 人工智能, 火电行业, 生产经营, 计算机视觉, 智能机器人

Abstract: Based on an investigation of the status quo and technical routes of artificial intelligence development at home and abroad, the application scenarios and technical breakthroughs of artificial intelligence technology in thermal power industry is deliberated,, and the technical development direction of artificial intelligence in thermal power industry is discussed. An analysis is made of the technical routes for development of computer vision, big data, Internet of things, intelligent control, intelligent robot, which are needed in perception, decision making and execution in the production and operation process of thermal power enterprises. The application of artificial intelligence technology in safety management, production management and business decision-making scenarios is discussed, and the typical application cases are introduced. The key research direction of the artificial intelligence technology in thermal power industry in the future is put forward.

Key words: artificial intelligence, thermal power industry, production and management, computer vision, intelligent robot