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作 者:刘明晨 马春波 张新国 黄会凯 Liu Mingchen;Ma Chunbo;Zhang Xinguo;Huang Huikai(China Power Construction Corporation Nuclear Power Engineering Co.,Ltd.,Jinan,China)
出 处:《科学技术创新》2025年第5期89-92,共4页Scientific and Technological Innovation
摘 要:随着社会经济的不断发展,海上风电场发展也越来越快,风电场的故障得到了广泛关注,准确、有效的对海上风电设备远程监控与故障预警是当下研究的热点问题与方向。针对这些需求与不足,本文尝试引入物联网的方案,通过进行风电场采样的数据搜集,对故障诊断与状态监测进行分析,统计常见故障,明确状态监测的相关参数,并选取温度参数的监测与辨识,提供故障的基本预案,以实现海上风电设备安全、有效运行。With the continuous development of the social economy,the development of offshore wind farms is also getting faster and faster.The faults of wind farms have received widespread attention,and accurate and effective remote monitoring and fault warning of offshore wind power equipment is currently a hot research topic and direction.In response to these needs and shortcomings,this article attempts to introduce an Internet of Things solution.By collecting data from wind farm sampling,fault diagnosis and status monitoring are analyzed,common faults are statistically analyzed,relevant parameters for status monitoring are clarified,temperature parameters are selected for monitoring and identification,and basic contingency plans for faults are provided to achieve safe and effective operation of offshore wind power equipment.
分 类 号:TM614[电气工程—电力系统及自动化]
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