Digital Systems Applications in Industry

Learning Outcomes

Upon successful completion of the course, the student will be able to:

• Recognize and evaluate several types of systems and their characteristics.
• Understand the operation of real-time systems.
• Develop Real Time programming skills.
• Understand the principles of designing, operating, and programming software applications for integrated industrial production systems.
• Understand the concepts of the information model of Industry, and integrated production systems.
• Analyze and synthesize Distributed Control Systems, closed and open architecture, Supervisory Control Systems, and data collection.
• List industrial software design principles and tools.
• Describe the principles of industrial data and control networks.
• Synthesizes his knowledge to create software applications for industrial process control.

Indicative Module Content

• Informatics model of Industrial Organization.
• Principles of operation and programming of integrated production systems (CIM).
• Distributed control systems (DCS) of closed architecture.
• Real-Time Control Systems, with security criticality.
• Supervisory control and data collection systems (SCADA).
• Distributed open architecture systems.
• Programmable logic controllers (PLC).
• Hardware and Software of Industrial applications. Computers in production. Availability of Computer Systems. Equipment Maintenance Information Systems.
• Software development standards for open architecture industrial control systems.
• Programming languages, Software engineering tools.
• Industrial Software Technology, quality standards, operating systems, field controllers, resource management systems.
• Real-time programs and databases. Communications and synchronization.
• Mathematical models and simulation. Virtual reality in the industry.
• Industrial computer networks, wireless industrial networks.
• Examples of software development for automatic control of industrial processes.