Content distribution network fault detection method and equipment

The invention relates to the field of communication, in particular to a CDN (Content Delivery Network) fault detection method and equipment. The method comprises the steps that collected CDN operation data form a CDN array, and the CDN array comprises M2 pieces of CDN operation data; converting the M2 pieces of CDN operation data contained in the CDN array into a gray scale picture with the size of M * M; and inputting the gray scale picture into a CDN fault detection model obtained by training based on a meta learning algorithm, the CDN fault detection model being used for determining a fault existing in the CDN operation data according to the gray scale picture, and outputting a fault detection result of the CDN operation data. According to the CDN fault detection method provided by the embodiment of the invention, the fault type of the CDN can be rapidly and accurately detected. 本发明涉及通信领域，尤其涉及一种内容分发网络CDN故障检测方法和设备。其中，上述方法包括：将采集的CDN运行数据组成CDN数组，所述CDN数组包含M2个CDN运行数据；将所述CDN数组包含的所述M2个CDN运行数据，转换为M×M大小的灰度图片；将所述灰度图片