How do you implement edge computing in industrial automation?

Edge computing implementation: identify use cases (data preprocessing, analytics, ML inference, protocol conversion), select edge platform (industrial PC, edge gateway, embedded controller), develop edge applications (containerized workloads, real-time OS for deterministic needs), implement data flow (OPC UA/MQTT from PLCs, processing, cloud forwarding). Architecture: local processing for latency-sensitive functions, selective cloud upload for storage/advanced analytics. Security: device authentication, encrypted communication, secure boot. Consider: hardware ruggedization, lifecycle management, remote updates, and monitoring. Benefits: reduced latency, bandwidth optimization, continued operation during connectivity loss.