Secure Cloud Manufacturing
The long-term goal of this research project is to develop methods and techniques to make large-scale manufacturing systems safer, more secure, and more productive, enabling them to produce high-quality products for consumers at modest cost. This project utilizes a small manufacturing system that consists of three industrial robots, four machine tools, and two conveyors, with an integrated industrial control system (from Rockwell Automation) connected by Ethernet/IP. The testbed is instrumented with presence sensors, inspection cameras, an interactive HMI display, and a computer for synchronization of real-time and historical data to a cloud platform. The research goals around the testbed include: control development and validation, learning control, agent-based control, optimizing scheduling, reconfigurable control, cloud-based manufacturing, security of cyber-physical systems, etc. One key enabler for the research program is having simulation models of the different system components that can be validated off-line, or in a hardware-in-the-loop framework. Another key enabler is the hosting of testbed-generated data in a deployed cloud environment to enable real-time cloud analytics, predictive maintenance, and remote system monitoring.
Issues Involved or Addressed
Methods and Technologies
Academic Majors of Interest
Preferred Interests and Preparation
Mechanical design, prototyping, sensor integration, algorithm development, PLC programming, quality analysis, cybersecurity implementation, cloud system design, database creation and management, MATLAB/Arena Simulation, throughput analysis, 3D visualization, interest in project material, willingness to develop skills.