Introduction to Industrial Data Communication

The live presentation of this event has already taken place.

Please view the PDF slides here or watch the video recording below:

Webinar details

Data communication is at the essence of our daily lives. In industrial environments, data communication also plays a central role. It allows computers, controllers, sensors, actuators, and other devices to communicate together in order to control processes. Data communication is an enabler for data acquisition, remote control, and automation.

Industrial data communication requirements include short delays, determinism, and real-time operations. Industrial environments are also known to be noisy in terms of Electromagnetic interference (EMI).

During this webinar, we will discuss the basics of industrial data communication and networking, including fieldbus systems, the use of Ethernet and wireless communication.

• The webinar will be recorded and will be sent out to registered attendees afterwards.
• A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
• Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.

Key takeaways from this webinar

• Learn about the specific requirements of industrial data communication.
• Learn about commonly used standards and technology in industrial data communication.
• Learn about current trends in industrial data communication.

Related courses

This webinar/topic relates to our school of Industrial Automation, Instrumentation and Process Control and is particularly found in the following courses:

• 52867WA Advanced Diploma of Industrial Data Communication, Networking and IT
• 52886WA Advanced Diploma of Industrial Automation Engineering
• Online – Bachelor of Science (Industrial Automation Engineering)
• Online – Master of Engineering (Industrial Automation)

About the presenter

Dr. Hadi Harb, EIT Lecturer & Consultant

Hadi holds a MEng (2000) in electrical-electronic engineering from the Lebanese University. He earned his MSc in 2001 and PhD in 2004 both in computer science from the Institut National des Sciences Appliquées INSA Lyon France, and the Ecole Centrale de Lyon France, respectively. In 2004 he joined Centrale Lyon Innovation SA as a research engineer. In 2006 he founded and managed Ghanni, a company specialised in multimedia content recommendation and identification. Several European radio stations and websites licensed Ghanni’s music recommendation technology. In 2015 he restructured Ghanni to transform it into a consultancy company in the domain of Artificial Intelligence and joined the Engineering Institute of Technology, Australia, as a lecturer. His current research interests are in the use of Artificial Intelligence techniques to solve industrial problems.