₦airaland Forum

Smart factories are the future — and you can build one yourself.
This free hands-on course teaches Industrial IoT (IIoT) and Industry 4.0 using affordable open-source PLC and IoT tools.

Welcome to the **PLC to Cloud — Open-Source IIoT & Industry 4.0 Masterclass**, a complete step-by-step playlist designed for students, makers, and industrial technicians who want to learn how smart factories actually work.

In this series, you will master the core technologies behind the Industrial Internet of Things (IIoT) and connect **real PLC hardware to modern cloud dashboards** using **free, open-source platforms** — without expensive software licenses or locked proprietary systems.

## 🔧 WHAT YOU’LL LEARN
✅ Industrial Internet of Things (IIoT) fundamentals
✅ Industry 4.0 architecture — from sensors to cloud dashboards
✅ Open-source PLC programming (Arduino PLCs, ESP32 PLCs, Raspberry Pi PLCs)
✅ Node-RED edge gateway building
✅ MQTT, Modbus & OPC UA communications
✅ Cloud integrations using ThingsBoard, FIWARE & Kapua
✅ Time-series data storage with InfluxDB & IoTDB
✅ Grafana industrial dashboard creation
✅ Predictive maintenance system concepts
✅ Secure industrial networking (TLS, certificates & IEC 62443 basics)

## 🧠 WHO THIS COURSE IS FOR
👨‍🎓 Engineering students & makers learning automation or IoT
🏭 Industrial maintenance technicians & automation technicians
⚙ PLC and controls engineers exploring Industry 4.0
💻 IT or software professionals entering industrial automation

No expensive PLC brands required — we focus on **brand-neutral, real-world skills** that translate across Siemens, Rockwell, Beckhoff, or any industrial platform.

## 🛠 TOOLS USED IN THIS COURSE
Arduino PLC | ESP32 PLC | Raspberry Pi
Node-RED | MQTT | Modbus | OPC UA
ThingsBoard | Grafana | InfluxDB | FIWARE | Eclipse Kapua

## 🚀 BUILD PROJECTS IN THIS PLAYLIST
✔ Build a complete PLC-to-Cloud IIoT pipeline
✔ Create a real-time smart factory dashboard
✔ Implement predictive maintenance workflows
✔ Design your own mini Industry 4.0 training lab

## 📌 LEARNING OUTCOME
By the end of this IIoT playlist you will be able to **design, build, deploy, and explain a full Industry 4.0 system using open-source tools**, giving you valuable hands-on experience and modern automation skills applicable to real industrial environments.

Subscribe to follow along and become part of the **Open Industrial Automation Lab** — where education is practical, affordable, and vendor-independent.


https://www.youtube.com/watch?v=5rWzhVbFf9I

#IIoT #Industry40 #IndustrialIoT #OpenSourcePLC
#PLC #Automation #Engineering
#NodeRED #MQTT #Modbus #OPCUA
#ThingsBoard #Grafana #RaspberryPi
#ESP32 #ArduinoPLC
#PredictiveMaintenance
#SmartFactory

This tiny Raspberry Pi can connect a PLC to the cloud and run a full Industrial IIoT gateway.
In this hands-on tutorial, we build a real Industry 4.0 edge system using Node-RED — completely headless.

In Episode 2 of the Open-Source IIoT Series, you’ll learn how to turn a Raspberry Pi into an industrial EDGE GATEWAY used in modern smart factories.
✅ Physical headless Raspberry Pi setup
✅ Install Raspberry Pi OS Lite
✅ Configure SSH remote access
✅ Terminal update & security best practices
✅ Install & configure Node-RED
✅ Enable auto-start services
✅ Launch your first IIoT gateway




https://www.youtube.com/watch?v=PaWFCHpYsDc

Learn how to build a Predictive Maintenance IIoT system using ESP32 and PZEM-004T. This tutorial covers monitoring industrial motor power and sending data to a Node-RED Edge Gateway for real-time analytics.

We dive deep into open-source automation using FLProg 8.2.1 and a Raspberry Pi Edge Gateway. From wiring diagrams to Modbus RTU communication, this is the foundation for smart factory monitoring. Download the resources below and start building your own IIoT energy dashboard.


https://www.youtube.com/watch?v=0rrvaZvMXxE

Build an Industry 4.0 dashboard using Node-RED and ESP32. Learn how to process PZEM-004T energy data, visualize trends for Predictive Maintenance, and setup Remote Load Control.

In this episode, we process live energy data from the PZEM-004T using Node-RED on a Raspberry Pi edge gateway. You’ll build real-time gauges, trends, Modbus control switches, and remote shutdown logic.

In this second part of Episode 4 of our IIoT series, we transform raw Modbus data into actionable insights. We cover the installation of FlowFuse dashboard nodes, writing custom function nodes for data scaling, and implementing Modbus coils for remote relay switching. Whether you use FLProg or OpenPLC, this workflow is essential for modern industrial automation.


https://www.youtube.com/watch?v=4ApYzp3qerw

Take your Node-RED dashboard global! Learn to set up mobile alerts, remote control, and industrial logic for ESP32 PLCs to manage your Industry 4.0 factory from anywhere.

In this episode, we transform a local setup into a worldwide IIoT Edge Gateway. Using Remote-RED, we implement push notifications and "Question Nodes" that allow you to shut down a failing motor directly from your smartphone. We also dive into professional Javascript function nodes for debounce logic, state management, and localized timestamps. Download the code on GitHub and join the open-source automation revolution!


https://www.youtube.com/watch?v=Uip0XxGQ_gI

onostech:
Take your Node-RED dashboard global! Learn to set up mobile alerts, remote control, and industrial logic for ESP32 PLCs to manage your Industry 4.0 factory from anywhere.

In this episode, we transform a local setup into a worldwide IIoT Edge Gateway. Using Remote-RED, we implement push notifications and "Question Nodes" that allow you to shut down a failing motor directly from your smartphone. We also dive into professional Javascript function nodes for debounce logic, state management, and localized timestamps. Download the code on GitHub and join the open-source automation revolution!


https://www.youtube.com/watch?v=Uip0XxGQ_gI

Boss greetings sir.

Are you in Lagos?
I will like to learn some stuffs from you

Predict motor failure using Node-RED and the PZEM-004T in this IIoT predictive maintenance tutorial. Learn CUSUM anomaly detection to spot current drift and stop failures before they happen.

Stop reactive maintenance! Learn how to predict motor failure using Node-RED machine learning and the PZEM-004T. This Industry 4.0 tutorial covers CUSUM anomaly detection for IIoT.


https://www.youtube.com/watch?v=hFWSKC9-gSM

Obnoxious2001:
Boss greetings sir.

Are you in Lagos?
I will like to learn some stuffs from you

No, I am not in Lagos

onostech:
No, I am not in Lagos

were are u based

Build a complete Industrial IoT (IIoT) smart factory system from scratch — Raspberry Pi edge gateway, ESP32 PLC - FLProg, Node-RED dashboards, predictive maintenance & AI anomaly detection. Full Industry 4.0 open-source tutorial with zero prior experience needed.

In this step-by-step guide, we install the Raspberry Pi headless, configure Node-RED, program the ESP32 PLC FLProg to connect to Modbus RTU, build dashboards, enable remote smartphone control, and implement anomaly detection with CUSUM for predictive maintenance.




https://www.youtube.com/watch?v=oBDOTikfE-0

onostech:
Build a complete Industrial IoT (IIoT) smart factory system from scratch — Raspberry Pi edge gateway, ESP32 PLC - FLProg, Node-RED dashboards, predictive maintenance & AI anomaly detection. Full Industry 4.0 open-source tutorial with zero prior experience needed.

In this step-by-step guide, we install the Raspberry Pi headless, configure Node-RED, program the ESP32 PLC FLProg to connect to Modbus RTU, build dashboards, enable remote smartphone control, and implement anomaly detection with CUSUM for predictive maintenance.




https://www.youtube.com/watch?v=oBDOTikfE-0

Boss how do I get your contact?