Learning Outcomes:

Learn how to

  • Develop core competency in using PLC simulators to design and program process and manufacturing systems
  • Set up and deploy automation systems in a simulated environment, integrating virtual components such as conveyors, pumps, and motors
  • Troubleshoot and resolve faults in virtual process and manufacturing systems controlled by PLCs
  • Optimize system performance for process control applications, including production lines and automated assembly systems
  • Program PLCs to control complex process and manufacturing tasks, including material handling, monitoring, and flow control

Understand how

  • PLC simulators replicate process and manufacturing systems and how virtual components interact within the simulated environment
  • To configure and calibrate virtual sensors, actuators, and controllers for accurate process control in simulations
  • To troubleshoot and resolve common faults and communication errors in simulated manufacturing systems

Know how to

  • Set up PLC-controlled process and manufacturing systems in a simulator environment and integrate essential components like motors, sensors, and actuators
  • Perform diagnostics and troubleshoot performance issues in virtual systems used in manufacturing and process control
  • Implement strategies to reduce faults and optimize virtual systems for continuous and reliable operation

Programme Aims

PLC-based process and manufacturing simulation involves using virtual environments to control and simulate industrial processes, such as assembly lines, conveyors, pumps, motors, and automated machinery, via PLCs. This course leverages PLC simulation tools to teach participants how to program and control complex manufacturing and process systems without requiring physical hardware. The virtual simulations allow learners to design, troubleshoot, and optimize automated systems in a cost-effective and controlled environment. This approach is ideal for industries focused on manufacturing automation, process control, and production systems, where precision, reliability, and system optimization are critical.

This course is 10% theory and 90% hands-on exercises, delivered over 2 days, ensuring participants learn through practical application in real-world scenarios.

Areas Covered Include:

• Introduction to PLC-based simulation for process and manufacturing systems
• Understanding process control, automated production lines, and motion systems in simulation
• Using PLC simulators to design and control manufacturing systems, including conveyors, process vessels, and pump systems
• PLC programming for real-time process control in a virtual environment
• Troubleshooting virtual process and manufacturing systems and resolving common faults
• Techniques for optimizing system performance in a simulated environment
• Real-time diagnostics and fault simulation within PLC simulators for process and manufacturing systems

The course uses Siemens S7-PLCSIM simulator as part of the TIA platform, to simulate industrial process control tasks. Learners will engage with virtual simulations that replicate real-life process and manufacturing scenarios, which can be customized based on their industry.

Resources

Digital material content will be provided to each learner prior to commencing the on-site hands on practically based course. Consuming this content is an optional choice for the learner but should be considered as self-directed learning. Consumption of this digital material prior to attending the course will enable learners to gain knowledge and understanding of the topics covered, terminology within this industry and allow more focus on the practical skill sets required to master the topic covered.

Learner Profile

Ideally, applicants will have some prior technical experience or knowledge and/or exposure to industry.

Target learners on this programme will include those who wish to reactivate their career to upskill and reskill from non-related disciplines as well as upskilling those already in employment in related industrial sectors. While there will not be a specific qualification requirement, there is an expectation that candidates will have obtained a minimum of junior cert level (NFQ-QQI level 3) and experience in related industrial sectors would be beneficial for the learner.

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