热力发电2024,Vol.53Issue(6) :142-150.DOI:10.19666/j.rlfd.202401028

电站直接空冷系统运行状态数字化实时显示技术

Real-time digital display technology for operation status of direct air cooling system in power plants

黎景越 张铎 翟金星 倪傲旋 陈磊 杨立军
热力发电2024,Vol.53Issue(6) :142-150.DOI:10.19666/j.rlfd.202401028

电站直接空冷系统运行状态数字化实时显示技术

Real-time digital display technology for operation status of direct air cooling system in power plants

黎景越 1张铎 1翟金星 1倪傲旋 2陈磊 2杨立军2
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作者信息

  • 1. 通辽霍林河坑口发电有限责任公司,内蒙古 霍林郭勒 029200
  • 2. 华北电力大学能源动力与机械工程学院,北京 102206
  • 折叠

摘要

随着人工智能、数字孪生技术及数字化虚拟技术的快速发展,采用数字化虚拟技术实现电站直接空冷机组空冷岛运行状态的实时监测成为可能.首先,建立空冷岛三维模型,通过数值计算获得空冷岛空气状态参数,开发空冷岛运行状态数据库及显示和查询软件;其次,基于数字孪生技术,在电厂设置气象站,获得环境气温、风速、风向实时变化数据,连同机组运行工况参数输入监测软件;最终,计算获得空冷岛空气运行状态并进行三维显示.基于数字孪生技术的空冷系统空气运行状态实时显示技术避免了现场大量装设测点的投资和检修维护工作,为智慧电站的发展奠定了基础.

Abstract

With the rapid development of artificial intelligence,virtual reality and augmented reality technology,it is possible to realize real-time monitoring of operation state of air cooling island of direct air cooling unit by using digital virtual technology.Firstly,a three-dimensional model of the air-cooled island is established,and the operating state parameters of the air-cooled island are obtained by numerical calculation.The air-cooled island operating state database and display and query software are developed.Secondly,based on the concept of digital twin,a meteorological station is set up in the power plant to obtain real-time change data of ambient temperature,wind speed and wind direction,and the operating conditions of the unit are used as software input parameters.Finally,the operation state of the air-cooled island is calculated and displayed in three dimensions.The real-time display technology for air operation state of air cooling system based on digital twin avoids the investment and maintenance of a large number of measuring points on site,which lays a foundation for the development of intelligent power stations.

关键词

直接空冷系统/数字孪生/运行状态/可视化

Key words

direct air cooling system/digital twin/operation status/visualization

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基金项目

国家自然科学基金项目(52006070)

出版年

2024
热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
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