Cyber-Physical Cloud Manufacturing Systems With Digital Twins

The emergence of highly productive cyberphysical manufacturing systems has motivated researchers to focus on minimizing communication overheads and saving computing resources. Traditional methods for building virtual machines using web-service and sensor techniques require a lot of system resources and incur high overheads, which make these techniques unsuitable for cyberphysical cloud manufacturing (CPCM) systems. We propose a novel model, which builds digital twins (virtual machines) so that they can be adapted to the CPCM platform. To achieve this goal, we have designed a framework that can incorporate with MTconnect (a manufacturing protocol to retrieve process information from machine tools) to extract data from physical machines. In addition, we have also designed information models to represent the structure and reflect the real-time state of physical machines.