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Industry 4.0:

• Raise awareness of the importance of data, of data analysis.
• Main sources of IIoT information:

Main data sources existing in industrial facilities. Functions that cover Aspects to take into account in the capture layer:

• Programmable controllers.
• Specific controllers, IoT probes.
• HMI, SCADA, explain the differences and what each one covers
• Layers and architectures

Describe existing layers and architectures. Expose the elements and functions they cover and the interrelationship between them.

• Sensory layer.
• Control layer.
• IT layer.
• Cloud
• IT Architecture (Closed Bus, Open Bus, Open Bus+NAT).
• Main protocols of each layer:

Describe the main protocols of each of the layers, characteristics, advantages / disadvantages.

• Analog/digital signals.
• Manufacturer-specific protocols: S7, FINS, MELSEC, METTLER TOLEDO, MARCHESSINE.
• Industrial standard protocols: PROFINET/PROFIBUS, MODBUS RTU/TCP, OPC UA.-DA
• MQTT, REST API…
• Industrial IoT Gateways:

Explain the current state of some of the main commercial HW for protocol capture and adaptation, differences, advantages and disadvantages. VNODE, IBH, EWON, SIEMENS IoT2040

• New wireless communication technologies

Expose the main LPWA technologies, architectures, differences. Advantages and disadvantages. LORA, SIGFOX, NB IoT

Academic training in fields related to engineering, industrial automation, computing, information technology or related disciplines.

Basic knowledge of industrial automation principles and industrial processes may be required. Familiarity with concepts of data management, data analysis and digital transformation. Experience in the field of industrial automation or data management may be an additional requirement.

After finishing the course, you will receive a certificate confirming 3 credit points.