The invention relates to a spaceflight structural part industrial interconnected mark laser marking system based on the convolutional neural network. The spaceflight structural part industrial interconnected mark laser marking system is characterized by comprising a space coordinate system calibrating module, a marking area planning module, an automatic mark generation module a marking parameter generation module and a laser galvanometer movement control module. By means of the spaceflight structural part industrial interconnected mark laser marking system, planning of a marking area does notneed to be conducted through manual work, the requirement for experience of marking parameter setting is not needed, a convolutional neural network (CNN) module and a BP neural network model can be used for conducting intelligent marking on spaceflight structural parts with different surface shape characteristics and different mark requirements, the marking efficiency is high, the mark recognitionrate is good, and information flow of an industrial Internet of Things system is promoted.