What is Edge Computing?
Edge Computing is an architecture in which data is processed locally at the “edge” of the network — close to the source, such as a Sensor, machine or device — instead of in a central Cloud or data centre.
Edge Computing = processing data where it is created.
The goal is to react faster, use less bandwidth and reduce dependence on the Cloud — essential in industrial and real-time environments.
🎯 Examples of Edge Computing
| Application | Example |
|---|---|
| Industrial automation | A PLC sends data to an Edge Device for real-time quality control |
| Smart factory | An edge AI model analyses a camera feed to spot defects on a production line |
| Predictive maintenance | Sensors send vibration data to a local analyser that triggers a maintenance request |
| Remote sites | A wind turbine or drilling platform processes data locally before sending only relevant info to the Cloud |
| OT/IT convergence | An edge gateway translates OT protocols (such as Modbus/OPC UA) into an IT format |
🧯 Why does Edge Computing matter?
- Faster processing — no Cloud latency
- Better availability — even with no or slow internet connectivity
- Data security — sensitive information stays local
- Efficiency — only relevant data is forwarded to the Cloud or central systems
- Real-time decisions — essential for process control and Monitoring
🔁 Edge vs. Cloud Computing
| Edge Computing | Cloud Computing |
|---|---|
| Processes data locally | Processes data in a data centre/Cloud |
| Real-time, low latency | Higher latency due to network traffic |
| Less dependent on internet | Fully dependent on connectivity |
| Ideal for OT/industrial environments | Ideal for scalable IT solutions |
🏭 Specifically in OT environments
- Edge devices collect and analyse data from SCADA, HMI or PLC
- Local decisions (such as shutdowns) on out-of-bound values without Cloud involvement
- Improved OT Cybersecurity through separated processing
- Buffering of data during network instability for later synchronisation with Historian or Cloud
📌 In summary
Edge Computing brings compute closer to the source of data. In production environments it delivers faster response, higher reliability and better control of OT processes.