PLC, HMI and SCADA for Industrial Automation and Control Systems
14 - 15 OCTOBER 2024
CAPE
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
9.00AM - 5.00PM
RM 2,800 FOR PROFESSIONALS
10% Discount for Early Bird (until 14 September 2024) / Group / Students
INTRODUCTION
Automation has become a crucial element in achieving efficiency, safety, and productivity in the current industrial landscape. Nowadays, industries rely heavily on automation to streamline processes, minimize human error, and collect vital data. This course is designed for a diverse audience, including students, engineers, and technicians who are interested in pursuing a career in industrial automation. Prior experience is not required as the course starts with the basics and gradually builds a strong foundation through theoretical learning and practical exercises. As the course progresses, participants will gain insights into real-world applications and emerging trends that are shaping the future of industrial automation.
The course aims to equip learners with the foundational knowledge and practical skills necessary to understand and work with three key components of industrial automation: Programmable Logic Controllers (PLC), Human-Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) systems. Participants will delve into the internal workings of PLCs, enabling them to understand their hardware, programming, and communication protocols. They will also learn how to design intuitive Human-Machine Interfaces (HMIs) and integrate them with PLCs for seamless control and monitoring. Additionally, participants will explore the capabilities of SCADA systems, which play a pivotal role in data acquisition and process visualization.
Upon completion of this course, participants will have a comprehensive understanding of these technologies and the practical skills needed to apply them in real-world industrial settings.
Industrial Automation and Control
PLC Introduction and Ladder Logic Programming
Case Study - I
SCADA – Configuration and Programming
Human Machine Interface
Case Study - II
OBJECTIVES
Upon completion of this course, participants will be able to:
WHO SHOULD ATTEND?
1. Dr.
Kishore Bingi (UTP)
Kishore Bingi is a lecturer at the Electrical and Electronic Engineering Department and member of the Center for Systems Engineering at Universiti Teknologi PETRONAS (UTP). He obtained his Master’s degree from the National Institute of Technology Calicut, India and his PhD from UTP, Malaysia. He worked as an Assistant Systems Engineer at TATA Consultancy Services Limited, India. He also worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. He served as an Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, India. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, advanced hybrid optimization techniques, Artificial Intelligence and Systems Engineering. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from Engineering Council UK. He currently serves as an Editorial Board Member/Academic Editor/Guest Editor for the International Journal of Applied Mathematics and Computer Science, Mathematical Problems in Engineering, Journal of Control Science and Engineering, and Fractal and Fractional. He has published over 50 articles in international journals and conference proceedings and has delivered over 15 lectures at international conferences, as well as four books and 6 book chapters.
2. Dr.
Madiah Omar (UTP)
MADIAH OMAR is a lecturer under Chemical Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. She is a classy IR4.0 academician with over 6 years of experience in Artificial Intelligence (AI), Modelling, Predictive Maintenance, Digital Twin, Hardware Integration and System Engineering for Rotating Equipment and Chemical Processes Applications. Driven to bridge academia and industry together, her work involves multiple industrial collaborators and experience in machine learning deployment to the field. Her current interest in IR4.0 focuses on transforming brilliant AI ideas into products.
3. Associate Professor Ir. Dr. Rosdiazli Ibrahim (UTP)
ROSDIAZLI B. IBRAHIM is an Associate Professor under Electrical and Electronics Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. He is an experienced academician with over 25 years of involvement in Advanced Process Control, Automation, Intelligent Systems, Wireless Technology and Robotics. He secured multiple fundamental research, prototype, and industrial consultancy grants for his work. He owns 5 patents to date, and his current interest includes Predictive Maintenance, Artificial Intelligence and System Engineering for various applications.
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
+605 - 368 7558 /
+605 - 368 8485
cape@utp.edu.my