Steel ladle air brick production method and system

The method comprises the following steps: acquiring stirring speed values at a plurality of preset time points in a preset time period and a mixed monitoring video in the preset time period, and adopting an artificial intelligence production technology based on deep learning, and performing multi-scale time sequence correlation feature extraction on the image semantics and the stirring speed value of the monitoring frame to generate a complex mapping relation between the stirring speed and the state change of raw material mixing, and adjusting the stirring speed of the current time point based on the state change of mixing. Therefore, the stirring speed can be adaptively adjusted in real time according to the change of the mixing state, so that the stirring efficiency is improved, the stirring quality is ensured, and the service life of the refractory air brick is prolonged. 公开了一种钢包透气砖生产方法及其系统，其获取预定时间段内多个预定时间点的搅拌速度值和所述预定时间段的混合监控视频，采用基于深度学习的人工智能生产技术，对于监控帧的图像语义和搅拌速度值进行多尺度时序关联特征提取，以生成搅拌速度与原材料混合的状态变化之间的复杂映射关系，并基于