【作者】 赵振兵；

【导师】 高强；

【作者基本信息】 华北电力大学（河北） ， 通信与信息系统， 2005， 硕士

【摘要】 本论文完成了变电站电力设备近红外热像在线监测的研究,重点研究了基于黑白CCD 传感器的在线监测系统及所涉及的理论问题。设计并构建了系统,其能通过探测近红外辐射从而对变电站中一些电力设备进行监测;构建了测温模型,分析了影响测温的一些因素,其中着重对大气衰减的影响进行了分析,完成了大气透射率的仿真计算,并计算了温度场分布;采集了热图像;应用经典滤波方法完成了图像去噪处理;提出了一种基于小波阈值萎缩法的近红外热图像去噪算法,并应用该算法完成了图像的去噪;提出了基于独立分量分析的近红外热图像去噪方法,并应用该方法完成了图像的去噪;完成了近红外热图像的对比度增强及伪彩色显示;给出了灰度与温度关系的简单标定。实验结果验证了本论文方法的正确性和有效性。目前,本论文能探测到的最低温度为137℃。更多还原

【Abstract】 The research of near-infrared thermal imaging on-line monitoring for power equipment in substation is achieved in this paper. The system based on monochrome CCD sensor and correlative theoretical problems are researched. The system, which can detect near infrared and monitor some power equipments in the substation, is designed. The temperature-measuring model is constructed, some influential factors are analyzed, the simulation of atmosphere transmittance is completed and the calculation for temperature field is accomplished. The thermal images are collected. The de-noising of image is accomplished by using classical filtering methods. An algorithm based on wavelet threshold shrinkage and a method based on ICA is presented. Noise can be removed availably by using them. The contrast enhancement and false color display of images are completed. Simple calibration is given. The method proposed in this paper is demonstrated to be true and effective through results. Now the lowest temperature can be detected by this system is 137℃.更多还原