Course Overview
The Internet of Things (IoT) in Modern Industrial Systems course is an innovative program focused on leveraging smart technology to enhance efficiency and productivity within industrial sectors. This course provides participants with advanced skills in designing and implementing IoT solutions within industrial processes, significantly boosting their competitiveness in a rapidly evolving labor market. The curriculum is meticulously aligned with local and global market needs, where IoT technologies have become a fundamental pillar of the Industry 4.0 revolution.
Course Objectives
- Understand the core concepts of the Internet of Things (IoT) and its applications in industrial environments.
- Identify the essential infrastructure of Industrial IoT (IIoT) systems.
- Study communication protocols used in industrial networks.
- Utilize programming and analytical tools to develop IoT applications.
- Analyze data from connected devices and transform it into intelligent decisions.
- Enhance network and device security within industrial settings.
- Explore the future of IoT technologies in smart industrial applications.
Course Outline
Day 1: Introduction to IoT and Industrial Systems
- The concept of the Internet of Things (IoT) and its importance in the digital age.
- The difference between Consumer IoT and Industrial IoT (IIoT).
- The role of IoT in improving productivity and reducing operational costs.
- Case studies of IoT applications in smart factories.
Day 2: Industrial IoT (IIoT) Infrastructure
- Core system components: Sensors, actuators, and smart modules.
- Networking and connectivity infrastructure in industrial systems.
- The concept of Edge Computing and its role in local data processing.
- The concept of the Cloud and how to connect devices to it.
Day 3: Communication Protocols and Transport Systems in IIoT
- Types of protocols: MQTT, CoAP, HTTP, LoRaWAN.
- Choosing the appropriate protocol based on the industrial application type.
- The impact of Latency and power consumption on system performance.
- Standards for selecting communication networks in industrial environments.
Day 4: Data Analysis and Device Management in Industrial Systems
- Collecting and storing data from connected devices.
- Utilizing analytical tools to provide actionable insights.
- Remote device management and Over-the-Air (OTA) software updates.
- Integrating IoT systems with Enterprise Resource Planning (ERP) software.
Day 5: Security and the Future of Industrial IoT
- Security challenges in connected industrial systems.
- Steps to protect devices and networks from cyber threats and breaches.
- Reviewing future technologies associated with the Internet of Things.
- The future of smart industry and the evolving role of IoT.
