基于计算机视觉的计算机机房设备安全巡检方法

Computer Vision Based Security Inspection Method for Computer Room Equipment

针对现有计算机机房巡检方法过于复杂、工作效率低、易出错等问题,文章结合计算机视觉技术,提出了一种新的安全巡检方法。该方法先通过计算物方感兴趣立方体,从多维信息决策技术支持库当中获得相应坐标信息,并利用高斯滤波算法实现对图像滤波处理,从而提取巡检时机房设备的状态信息,以此实现对机房设备状态的安全巡检和管理。该方法能够准确、高效地检测机房设备异常情况,为机房安全管理提供有力的技术支持。

In view of the existing inspection methods of computer room,such as too complicated,low efficiency,casy to make mistakes,the paper combined with computer vision technology,proposed a new security inspection method.The method firstly obtains the corresponding coor-dinate information from the multi-dimensional information decision support database by calcu-lating the object cube of interest,and uses the Gaussian filter algorithm to filter the image,so as to extract the state information of the equipment in the equipment room during inspection,so as to realize the security inspection and management of the equipment state in the equipment room.This method can detect cquipment anomalies accurately and efficiently,and provide strong technical support for the security management of the equipment room.