Course Prerequisites
Certainly! Here are the minimum required prerequisites for successfully undertaking training in the Industrial IoT (IIoT) Development and SCADA System Data Acquisition course:
- Basic Understanding of Industrial Automation: Familiarity with basic concepts of industrial automation, including the roles and functionalities of programmable logic controllers (PLCs).
- Familiarity with Industrial Communication Protocols: Knowledge of common industrial communication protocols such as MODBUS, TCP/IP, and Industrial Ethernet, which are essential for the connectivity of IIoT devices.
- Networking Fundamentals: A foundational understanding of networking principles, which is crucial for configuring and managing IIoT networks.
- Interest in IIoT and SCADA Systems: A keen interest in exploring advanced technologies related to the Industrial Internet of Things and Supervisory Control and Data Acquisition systems.
These prerequisites ensure that participants have the necessary background to grasp the sophisticated concepts discussed in the course, enhancing their learning experience and enabling practical application in industrial environments.
Target Audience for Industrial IoT (IIoT) Development and SCADA System Data Acquisition
Explore IIoT and SCADA systems deeply through this course designed for automation, manufacturing, and IT professionals looking to enhance their industrial connectivity skills.
Target Audience and Relevant Job Roles:
- Automation Engineers
- Control System Engineers
- Data Analysts specialized in industrial settings
- Electrical Engineers
- Industrial IT Professionals
- Manufacturing Engineers
- Operations Technicians
- Process Engineers
- Project Managers in manufacturing and automation
- SCADA System Operators and Technicians
- Systems Integrators
Learning Objectives - What you will Learn in this Industrial IoT (IIoT) Development and SCADA System Data Acquisition?
Introduction to Learning Outcomes
This course equips participants with essential IIoT and SCADA systems' knowledge, focusing on architecture, data management, and industrial connectivity for effective industrial automation.
Learning Objectives and Outcomes
- Understand IIoT vs. IoT: Differentiate the Industrial Internet of Things from standard IoT applications in the industrial context.
- IIoT Architecture and Components: Identify and understand the layers of IIoT architecture including sensors, actuators, and embedded systems.
- Data Acquisition Techniques: Master data collection, processing, and real-time analytics in IIoT environments using edge computing.
- Industrial Networking Solutions: Implement various industrial connectivity options, utilizing both wired and wireless communications along with key protocols like MODBUS and TCP/IP.
- KEPServerEX Application: Learn to navigate, configure, and effectively use KEPServerEX for device connectivity and data management in industrial settings.
- OPC and OPC UA Protocols: Explore and apply OPC (OLE for Process Control) and OPC UA for secure and efficient data transfer and remote communication.
- SCADA Systems Utilization: Acquire skills for installing and using SCADA systems to monitor and control industrial processes reliably.
- IoT Data Analytics: Integrate
Target Audience for Industrial IoT (IIoT) Development and SCADA System Data Acquisition
Explore IIoT and SCADA systems deeply through this course designed for automation, manufacturing, and IT professionals looking to enhance their industrial connectivity skills.
Target Audience and Relevant Job Roles:
- Automation Engineers
- Control System Engineers
- Data Analysts specialized in industrial settings
- Electrical Engineers
- Industrial IT Professionals
- Manufacturing Engineers
- Operations Technicians
- Process Engineers
- Project Managers in manufacturing and automation
- SCADA System Operators and Technicians
- Systems Integrators
Learning Objectives - What you will Learn in this Industrial IoT (IIoT) Development and SCADA System Data Acquisition?
Introduction to Learning Outcomes
This course equips participants with essential IIoT and SCADA systems' knowledge, focusing on architecture, data management, and industrial connectivity for effective industrial automation.
Learning Objectives and Outcomes
- Understand IIoT vs. IoT: Differentiate the Industrial Internet of Things from standard IoT applications in the industrial context.
- IIoT Architecture and Components: Identify and understand the layers of IIoT architecture including sensors, actuators, and embedded systems.
- Data Acquisition Techniques: Master data collection, processing, and real-time analytics in IIoT environments using edge computing.
- Industrial Networking Solutions: Implement various industrial connectivity options, utilizing both wired and wireless communications along with key protocols like MODBUS and TCP/IP.
- KEPServerEX Application: Learn to navigate, configure, and effectively use KEPServerEX for device connectivity and data management in industrial settings.
- OPC and OPC UA Protocols: Explore and apply OPC (OLE for Process Control) and OPC UA for secure and efficient data transfer and remote communication.
- SCADA Systems Utilization: Acquire skills for installing and using SCADA systems to monitor and control industrial processes reliably.
- IoT Data Analytics: Integrate
