AiVibeEdge Computing
Edge computing processes data close to where it is generated, on gateways, industrial PCs or servers in or near the plant, rather than sending everything to a distant cloud, reducing latency and bandwidth and keeping operations independent of wide-area links.
An industrial edge node collects data from machines and sensors through protocols such as OPC UA, Modbus, S7 or MQTT, then filters, aggregates, buffers and analyses it locally. It can run containerised applications, analytics and AI inference, and forward selected results to cloud or enterprise systems. Edge platforms range from small gateways and ruggedised fanless PCs to on-site server clusters, and they are often managed centrally so that software can be deployed and updated across many sites.
Manufacturers use edge computing for applications that need fast responses or must keep running without internet connectivity, such as machine vision inspection, condition monitoring, energy optimisation and local dashboards. Processing data at the edge also reduces cloud data transfer and storage costs and can keep sensitive production data on site. Retrofitting edge devices lets older lines contribute data without changes to their control systems.
Edge deployments must handle constrained hardware, harsh environments, remote management, software updates and security across many distributed devices. Edge nodes typically sit in an industrial DMZ or a defined zone under IEC 62443, connecting to control networks with least privilege and, where possible, read-only access. Edge computing complements rather than replaces the deterministic control performed by PLCs and safety systems.
Key points
- Processes data near its source instead of in a distant cloud
- Reduces latency, bandwidth use and dependence on wide-area links
- Runs protocol connectivity, buffering, analytics and AI inference
- Must be managed, updated and secured across many distributed nodes
- Complements, but does not replace, PLC and safety system control
Where AiVibe comes in
AiVibe builds Intel-based edge AI devices using the Intel Distribution of OpenVINO toolkit; for AiAmbA, existing lines are retrofitted with edge devices.
Related terms
- Industrial IoT GatewayIndustrial IoT & Edge
- Store-and-Forward BufferingIndustrial IoT & Edge
- Industrial Internet of Things (IIoT)Industrial IoT & Edge
- KubernetesCloud & AI Infrastructure
- Machine VisionRobotics & Physical AI
- IEC 62443 (ISA/IEC 62443)OT & Industrial Cybersecurity
Terms that refer to Edge Computing
- CNC Machine MonitoringCNC & Precision Machining
- Condition MonitoringQuality, Reliability & Maintenance
- Container ImageCloud & AI Infrastructure
- Content Delivery Network (CDN)Cloud & AI Infrastructure
- Data Acquisition (DAQ)Industrial IoT & Edge
- Data Distribution Service (DDS)Industrial IoT & Edge
- Digital TwinIndustrial IoT & Edge
- Edge AIAI & Machine Learning