带电设备红外辅助诊断系统的开发

Development of Infrared Auxiliary Diagnosis System of Charged Equipments

利用红外图像处理和模式识别理论,结合.NET开发平台,建立了带电设备红外诊断共享数据库和分析知识库,并在此基础上开发了带电设备红外辅助诊断系统。该系统由现场预检子系统、红外图像远程提交子系统、辅助诊断子系统和图像信息数据库四部分构成,各子系统可以单独完成相关功能,又可以组成一个有机整体。对带电设备红外图像的分析处理表明,该系统能及时检测出带电设备的事故隐患,能有效地降低事故发生率,提高设备运营的安全性和可靠性。

A sharing database and an analysis knowledge database of infrared diagnosis system of the charged equipment were established using of infrared image processing, pattern recognition theory and the platform of. net. Then a charged equipment infrared auxiliary diagnosis system was developed. By analysis and processing of the charged equipment infrared image, this system can capture the potential accident of charged equipment promptly. It can reduce the accident rate, and enhance the security and the reliability of the equipment operation. This system was composed of a scene precaution subsystem, an infrared image long - distance submission subsystem, an auxiliary diagnosis subsystem and an image information database. The subsystems can be integrated as a whole system, and they can also complete the related function alone.