Explore the transformative power of MING technologies—MQTT, InfluxDB, Node-RED, and Grafana—and how they form the backbone of modern Industrial IoT (IIoT) systems. This comprehensive course is designed to provide you with practical skills in integrating these cutting-edge tools to build scalable, efficient, and secure IIoT solutions. With a focus on real-world applications and hands-on projects, you will learn how to design and deploy IIoT systems for industrial environments such as smart factories, energy monitoring, and plant automation.

Starting with the essentials of Raspberry Pi for IIoT development, the course takes you through setting up communication with MQTT, storing time-series data with InfluxDB, creating intuitive dashboards with Grafana, and implementing advanced automation using Node-RED. Additionally, the course introduces edge deployment techniques using Balena, empowering you to create IIoT solutions that operate seamlessly at the industrial edge.

Key Features of the Course

1. Foundations of MING Technologies in IIoT

· Understand the role of MQTT, InfluxDB, Node-RED, and Grafana in IIoT.

· Explore how these technologies work together to enable real-time monitoring, automation, and analytics.

· Gain an overview of Industrial IoT architecture and the significance of edge computing.

2. Hands-On IIoT Development with Raspberry Pi

· Learn how to configure a Raspberry Pi as a core IIoT device.

· Integrate sensors and actuators to collect data and execute control logic.

· Set up Linux-based environments for IIoT prototyping.

3. Secure Communication with MQTT

· Understand MQTT fundamentals, including brokers, clients, topics, and QoS levels.

· Set up secure MQTT communication channels for IIoT devices.

· Explore advanced features such as retained messages, MQTT wildcards, and MQTT over TLS.

4. Time-Series Data Management with InfluxDB

· Install and configure InfluxDB for time-series data storage.

· Understand how to create databases, design schemas, and query data using Flux Query Language.

· Manage high-frequency sensor data efficiently for industrial monitoring.

5. Real-Time Data Visualization with Grafana

· Learn how to install, configure, and use Grafana for dynamic dashboards.

· Create intuitive visualizations for IIoT data, such as line charts, heatmaps, and gauges.

· Set up alerts and notifications to monitor system performance in real time.

6. Advanced Automation with Node-RED

· Master the Node-RED platform for visual programming and automation.

· Integrate Node-RED with MQTT, InfluxDB, and Grafana for seamless workflows.

· Implement advanced logic, such as conditional triggers and process automation.

7. Deploying IIoT Solutions at the Edge Using Balena

· Learn the fundamentals of Balena for edge deployment.

· Build containerized IIoT applications and deploy them on Raspberry Pi.

· Explore real-world use cases of deploying IIoT systems at the industrial edge.

8. Real-World Case Studies and Projects

· Industrial Equipment Monitoring: Monitor vibration, temperature, and energy consumption using MING technologies.

· Smart Plant Monitoring: Implement IIoT solutions for real-time visualization of plant performance metrics.

· Energy Efficiency Optimization: Use MING tools to analyze and optimize industrial energy consumption.

What You Will Learn

By the end of the course, you will be able to:

· Design and implement secure, scalable IIoT systems using MQTT, InfluxDB, Node-RED, and Grafana.

· Develop edge-deployed applications using Balena and Raspberry Pi.

· Configure MQTT brokers and clients for reliable communication in industrial environments.

· Manage and query time-series data effectively with InfluxDB.

· Create visually engaging and interactive dashboards for IIoT monitoring with Grafana.

· Automate workflows and processes using Node-RED for industrial use cases.

· Gain hands-on experience through real-world case studies and project-based learning.

Who Should Enroll?

· Industrial Automation Professionals: Learn how MING technologies can streamline industrial workflows.

· IoT Enthusiasts: Gain practical experience in building IoT systems with cutting-edge tools.

· Engineers and Technicians: Expand your skills in IIoT system development and deployment.

· Students and Beginners: Start your journey into IIoT with comprehensive, hands-on training.

Why Choose This Course?

· Comprehensive Curriculum: Covers all aspects of MING technologies and their integration.

· Hands-On Learning: Practical exercises and projects ensure you can apply your knowledge.

· Industry-Relevant Skills: Prepares you for the challenges of modern industrial IoT environments.

· Real-World Applications: Learn how to implement IIoT solutions that deliver measurable business value.

Unlock the full potential of IIoT with MING technologies and take your industrial automation skills to the next level. Join this course and start building smarter, more efficient industrial systems today!