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Process control systems and communication networks (5 cr)

Code: EN00BH63-3005

General information


Enrollment

06.04.2022 - 22.04.2022

Timing

29.08.2022 - 04.11.2022

Number of ECTS credits allocated

5 op

Virtual portion

4 op

Mode of delivery

20 % Contact teaching, 80 % Distance learning

Campus

Kotka Campus

Teaching languages

  • English
  • Finnish

Seats

10 - 50

Degree programmes

  • Degree Programme in Energy Engineering

Teachers

  • Vesa Kankkunen
  • Merja Mäkelä

Teacher in charge

Merja Mäkelä

Groups

  • ENKT20SP
    Energy engineering, full-time studies
  • ENKT21KM
    Energy engineering, part-time studies

Objective

After completing this course, you will be able to
- explain the layers of the OSI network model and describe the role of main protocols used in communication networks
- present the arrangement and components of a process control system used in a process plant
- design and configure simple automation networks and fieldbus applications
- program and commission instrumentation and motor loops of power plant automation.

Content

How do communication standards, cloud services and the Internet of Things (IoT) affect industrial networks and the development of digitalization in industrial applications?
How is a measurement signal transferred from a sensor to a remote control room of a power plant, or a command signal from an operator to a controlled actuator?
Which hardware and software tools do you need to be able to connect a smart level transmitter to an available control system?
How are you able to improve the safety of power production using programmed forced control and redundancy?

Materials

- Learn
- Learning Environment for Papermaking and Automation, KnowPap, AEL ja Prowledge 2015.
- Learning Environment for Chemical Pulping and Automation, KnowPulp, AEL ja Prowledge 2015.
- https://www.valmet.com/
- https://www.siemens.com/global/en.html
- https://www.honeywell.com/en-us/industries/industrial-manufacturing
- https://new.abb.com/uk
- ValmetDNA manuals, Valmet Automation 2011 - 2012.
- DNAuse -operointiohje, Valmet Automation 2012.
- Function Block CAD -käyttöohje, Valmet Automation 2011.
- DNA Explorer -käyttöohje, Valmet Automation 2011.

Teaching methods

Scheduled track:
1. System Hardware
2. Human Machine Interfaces (HMI) and Plant Operation
3. Automation projects
4. Fieldbuses in Connecting Instrumentation and Motor Control
5. Digitalization Progress and Internet of Things (IoT) in Automation
6. Programming applications of a distributed control system (local learning)
7. Configuration of smart field devices
After completing this course, you will be able to (local learning)
- present the arrangement and components of a process control system used in a process plant
- describe the main operation tasks and use basic HMIs in plant operations
- analyse basic automation loops based on PI diagrams, and work out system-independent functional loop descriptions and diagrams
- explain the role of main communication protocols used in industrial networks
- describe the utilization of artificial intelligence in industrial automation
- program and commission instrumentation and motor control loops for power production
- program and commission smart field devices and fieldbuses.
Which hardware components do you need for a process control system?
How is a measurement signal transferred from a measurement transmitter to a remote control room of a power plant, or a command signal from an operator to a controlled actuator?
How are you able to design measurement, open control, feedback control, on-off valve and on-off motor loops independently for a process control system?
How are you able to connect smart instruments and motor control units using industrial fieldbus cables and protocols?
How do communication standards, cloud services and IoT affect industrial networks and the development of digitalization in industrial applications?
How do we implement measurement, open control, feedback control, on-off valve and on-off motor loops in a process control system?
How do we connect in practice smart field devices to a process control system using fieldbuses?

Exam schedules

Partial exams.

Student workload

- 15 h lectures
- 25 h supervised project working
- 95 h self-study

Further information

Next prerequisite courses are recommended:
Measurement and Control Technology,
or related qualifications are required.

Evaluation scale

1-5

Assessment methods and criteria

Students choose 5 from 7 parts.
5 partial exams, with grades 0-5
or 3 partial exams and 2 lab projects, with grades 0-5, all parts passed.

Qualifications

Prerequisite courses are
Basics of electrical engineering and electronics
Measurement and control technology