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基于视频处理的引风机静叶故障自动监控技术

张江丰 尹峰 罗志浩 陈小强 童家麟

中国电力2016,Vol.49Issue(7):102-105,161,5.
中国电力2016,Vol.49Issue(7):102-105,161,5.DOI:10.11930/j.issn.1004-9649.2016.07.102.04

基于视频处理的引风机静叶故障自动监控技术

Video Processing Based Auto-Monitoring Technology for Static Blade Failures of Induced Draft Fans

张江丰 1尹峰 1罗志浩 1陈小强 1童家麟1

作者信息

  • 1. 国网浙江省电力公司电力科学研究院,浙江杭州 310014
  • 折叠

摘要

Abstract

The induced draft fan of boilers is a major auxiliary equipment in coal-fired power plants,and its operation conditions are critical on the effectiveness of boiler thermodynamic cycle and the safe and stable operation of the plants.The induced draft fan is installed in the boiler flue,where the operating environment is relatively poor,therefore,it is one of the equipments with higher failure rates.On the basis of video processing and with some leading algorithms such as target tracking and state compensation being introduced,this paper proposes an auto-monitoring technology for the static blade failures of induced draft fans power plants.The technology can replace manual inspection and initiate static blade monitoring,thus can effectively avoid the imbalance of power plant operation caused by the not-timelyfound static blade failures.

关键词

锅炉/引风机静叶/视频监控/目标跟踪/状态补偿/故障识别

Key words

boiler/induced draft fan static blade/video monitoring/target tracking/state compensating/failure recognition

分类

信息技术与安全科学

引用本文复制引用

张江丰,尹峰,罗志浩,陈小强,童家麟..基于视频处理的引风机静叶故障自动监控技术[J].中国电力,2016,49(7):102-105,161,5.

中国电力

OA北大核心CSCDCSTPCD

1004-9649

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