高温高湿环境下大规模海上风电机组零部件的防腐检测  

Anti-Corrosion testing for components of large-scale offshore wind turbines in high-temperature and high humidity environments

作　　者：吴劲芳 齐骥 刘玉龙 王德伟 魏宏杰 WU Jinfang;QI Ji;LIU Yulong;WANG Dewei;WEI Hongjie(State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co.,Ltd.,Zhangjiakou 075000,China;Dongfang Electric New Energy Technology(Chengdu)Co.,Ltd.,Chengdu 610036,China)

机构地区：[1]国网冀北张家口风光储输新能源有限公司,张家口075000 [2]东方电气新能科技(成都)有限公司,成都610036

出　　处：《无损检测》2024年第9期64-68,共5页Nondestructive Testing

摘　　要：受海上环境因素的干扰,风电机组零部件防腐状态的检测准确性难以得到保障。针对这一问题,提出了高温高湿环境下大规模海上风电机组零部件的防腐检测方法。将集红外热成像仪与可见光摄像机于一体的NC200NW红外相机作为监测装置,结合风电机组的运行时间和天气条件设定定时拍摄时间间隔,利用GPS定位功能标记数据采集位置。采用高斯滤波去除零部件红外数据噪声因素后,基于区域平均法将像素值转换为温度值,通过提取温度梯度特征和温度峰值特征确定防腐状态。测试结果表明,该方法能够有效识别腐蚀缺陷类型,抑制腐蚀缺陷信号,并准确定位腐蚀缺陷位置,能为及时维护或更换腐蚀零部件提供可靠指导。Due to the interference of objective environmental factors at sea,it is difficult to ensure the detection effect of anti-corrosion state of wind turbine parts.Therefore,the research on anti-corrosion detection method of large-scale offshore wind turbine parts in high temperature and high humidity environment was proposed.The NC200NW infrared camera,which integrated an infrared thermal imager and a visible light camera,was used as a monitoring device,and the timing shooting time interval was set according to the running time and weather conditions of the wind turbine,and the data acquisition position was marked by GPS positioning function.After removing the noise factor of infrared data of parts by Gaussian filtering,the pixel value was converted into temperature value based on regional average method,and the anticorrosion state was determined by extracting the characteristics of temperature gradient and temperature peak.The test results showed that the proposed method can effectively identify the types of corrosion defects,suppress corrosion defect signals and accurately locate corrosion defects.Provides reliable guidance for timely maintenance or replacement of corroded parts.

关 键 词：红外热成像 高斯滤波 区域平均法 温度梯度特征 温度峰值特征 

分 类 号：TE988.2[石油与天然气工程—石油机械设备] TG115.28[金属学及工艺—物理冶金]