A method of information acquisition and processing for modelling complex production processes
Shang‐Ming Zhou, Xi-Di Zhang · 2002
In studies of complex industrial production control systems, especially distributed parameter production processes, it is very difficult to build the strict mathematical model in terms of mechanism analyses. This paper, from the angle of information science, trying to bypass the mechanism analyses, extracts the features of image sequences obtained by the computer vision detection system. It describes the complex industrial production control system by the eigenvectors not the state vectors, which lays the foundations for predicting and judging the working situation or product quality based on a dynamical neural network.