Intelligent production method of anti-cracking saggar and control system thereof

The invention relates to the field of intelligent detection, and particularly discloses an intelligent production method of an anti-cracking sagger and a control system thereof, and the method comprises the steps: carrying out the multi-scale feature mining of a bottom surface image of a produced and manufactured anti-cracking sagger to be detected through employing an artificial intelligence algorithm based on deep learning; and further judging whether the bottom surface of the anti-cracking sagger has defects or not through a classifier. Therefore, in the preparation process, defect detection can be intelligently carried out on the bottom of the sagger, so that the production and manufacturing time of the anti-cracking sagger is saved, and meanwhile, the production quality of the anti-cracking sagger is guaranteed. 本申请涉及智能检测领域，其具体地公开了一种防裂匣钵的智能化生产方法及其控制系统，其通过采用基于深度学习的人工智能算法来对于生产制造的待检测防裂匣钵的底表面图像进行多尺度的特征挖掘，进一步通过分类器来对防裂匣钵的底表面是否存在缺陷进行判断。这样，就能够在制备过程中，智能地对匣钵的底部进行缺陷检测，进而在节省防裂匣钵的生产制造时间的同时保证防裂匣钵的生产质量。