Key technologies towards smart manufacturing based on swarm intelligence and edge computing

In recent years, the manufacturing industry has faced various global challenges. One of these challenges is increasing frequent adjustment and reconfiguration production lines, necessitated by diversification customer demands. To improve processing efficiency after line reconfiguration, this paper puts forward a group learning architecture towards intelligent equipment. With architecture, swarm intelligence can be accomplished through learning. From perspective edge intelligence, addresses key technology issues within areas data acquisition preprocessing, cyber-physical fusion, knowledge extraction sharing, equipment performance self-optimization. The proposed approaches are much more useful for improving reconfigured line.