How IIoT and AI create value
The foundation is reliable data capture. Edge gateways read OPC UA, Modbus or MQTT signals, buffer them locally and send clean, time-stamped streams to a historian or cloud platform. Only then can analytics work. Getting units, tags and machine states consistent is unglamorous but decides whether models succeed. A common asset model across lines then makes it possible to compare plants fairly and share lessons without translating every report.
Predictive maintenance learns normal vibration, temperature and current patterns and flags drift before failure, though it only pays off for assets whose downtime is expensive and whose failures leave a signal. Computer vision inspects surfaces and assemblies at line speed, and OEE dashboards show where availability, performance and quality losses actually occur. We also set expectations on false alarms up front, because a maintenance team that stops trusting alerts will stop opening them altogether.
