Intelligent maintenance method, system and equipment for optical astronomical telescope

The invention belongs to the technical field of astronomical telescopes, and discloses an intelligent maintenance method, system and equipment for an optical astronomical telescope. The method provided by the invention comprises the following steps: taking pictures obtained by a telescope terminal instrument as input, classifying the input pictures by using a preset random deep forest algorithm, and reserving a picture which is in normal work of a telescope and contains bright stars as a first star image; performing star image extraction on the first star image to obtain a second star image only containing a single bright star; using a preset convolutional neural network to obtain an image spot shape of a star image in the second star image as a first image feature of the second star image; obtaining the image spot size of the second star image as a second image feature; and outputting imaging quality data represented by the first image feature and the second image feature of the second star image. Real-time