So what actually happens between the machine and the dashboard?
Imagine a vibration sensor attached to a motor.
The sensor detects a vibration.
But that's only the beginning. 👇
Sensor → MCU / PLC → Communication → Edge → Cloud → Dashboard
At each stage, something different happens:
🔹 Sensor — captures the physical signal
🔹 MCU / PLC — reads and processes the data
🔹 Communication layer — moves the data
🔹 Edge — can filter, store, process or analyze it locally
🔹 Cloud — provides scalable storage and analytics
🔹 Dashboard — turns the data into something humans can understand
And this is where Industrial IoT becomes interesting.
The real engineering challenge isn't simply:
“How do I connect a sensor to the internet?”
It's:
“Where should the data be processed, how should it move, and where should decisions happen?” ⚙️
I'm starting a new series exploring this journey — from Embedded Systems and MCUs to Communication, Edge Computing and Smart Factory Architecture.
This is Part 1: From Sensor to Smart Factory.
👇 Which layer are you most interested in — Embedded, Communication, Edge or AI?