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What is Edge computing

Definition

What is Edge computing?

Data processing close to its physical source, on the shop floor, instead of round-tripping to the cloud. Lowers latency, enables real-time decisions, and keeps sensitive data inside the perimeter.

Edge computing is processing data close to its physical source, on the shop floor and next to the machine, instead of round-tripping to the cloud. It lowers latency, enables real-time decisions, saves bandwidth and keeps sensitive data inside the factory perimeter.

How edge computing works

Industrial compute devices (gateways, plant PCs, compact servers) sit on the factory network and run locally what used to require the cloud: capturing PLC and sensor signals, filtering and aggregating telemetry, running visual-inspection or anomaly-detection models, and buffering data when the external connection drops. The cloud still receives cleaned, aggregated data for history and analysis, while millisecond decisions are resolved at the edge.

Why it matters for industrial SMEs

Edge solves three concrete problems: latency (an inspection camera deciding in under 100 ms cannot depend on an internet link), resilience (the plant keeps capturing and deciding during outages, syncing later) and cost/confidentiality (raw sensor streams are expensive to ship and often should not leave the perimeter). You can start with one device on one line and grow in phases.

Edge computing is the physical base of OT/IT integration: industrial gateways capture data over OPC-UA or Modbus and publish it via MQTT into a Unified Namespace. It is also where real-time anomaly-detection and inspection models run.

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How we apply this concept in practice:

Frequently asked questions

Does edge computing mean dropping the cloud?
No. Edge and cloud are complementary: the edge handles the immediate and local (latency, resilience, filtering) and the cloud the aggregated and global (history, cross-plant analysis, model training). Mature architectures use both.
What hardware is used at the industrial edge?
From compact DIN-rail gateways for signal capture to fanless industrial PCs and small GPU servers for machine vision. The choice depends on the workload: aggregating telemetry differs from running deep-learning models.
What happens to data if the internet connection drops?
A well-designed edge deployment buffers data locally during the outage and syncs when the connection recovers, without loss. Local decisions such as alarms and quality rejects keep working throughout.
Does edge computing improve plant cybersecurity?
It can when designed for it: sensitive data stays inside the perimeter, the gateway acts as a control point between OT and IT networks, and external exposure shrinks to a single encrypted, controlled channel.

Keep reading

This term belongs to the scope of Captia Connect. You can find every other definition in the full glossary.