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试验研究
              试验研究

              DOI:10.11973/wsjc240072


                 高温高湿环境下大规模海上风电机组零部件的


                                                     防腐检测




                                          吴劲芳 ,齐 骥 ,刘玉龙 ,王德伟 ,魏宏杰                 1
                                                         1
                                                 1
                                                                         1
                                                                 2
                                   [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]
                       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。
                       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
                       中图分类号:TE988.2;TG115.28      文献标志码:A    文章编号:1000-6656(2024)09-0064-05

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


                                      WU Jinfang , QI Ji , LIU Yulong , WANG Dewei , WEI Hongjie 1
                                                    1
                                               1
                                                                           1
                                                               2
                  [1. State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co.,Ltd., Zhangjiakou
                     075000, China;  2. Dongfang Electric New Energy Technology (Chengdu) Co.,Ltd., Chengdu 610036, China]
                      Abstract: 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.
                      Key  words:  infrared  thermal  imaging;  gaussian  filtering;  regional  average  method;  characteristics  of  temperature
                   gradient; characteristics of temperature peak

                 收稿日期: 2024-02-29                                    全球对可再生能源的需求日益增长,海上风电
                 作者简介:吴劲芳(1989—),男,本科,工程师,主要研究方向为
                                                                作为一种清洁、高效的能源形式,得到了广泛的关注
              新能源专业运维及并网技术研究等
                                                                       [1]
                 通信作者:   吴劲芳,guxing97684222808@163.com          和应用 。海上风电机组通常安装在远离陆地的海
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                     2024 年 第 46 卷 第 9 期
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