The need and approach
Disconnected sensor readings, meter records and machine events make it difficult to understand an operation as a whole. Industrial IoT starts by identifying the decision and the data needed to support it, before connecting collection, transport, storage and visibility.
Data flow
Source device → protocol-compatible collector → secure transport → time-series storage → role-based view.
Device identity, engineering units, source timestamp, quality and last communication time travel with the value. Buffering during an outage, replay and duplicate handling require explicit design.
Illustrative workflow
Meter and PLC records in a production area share a time axis. An operator can see whether a consumption change coincides with downtime; the chart alone does not establish causation.
Questions for discovery
- Which decision is delayed by missing data?
- Which devices offer a documented interface?
- How much data must survive an outage?
- Where and for how long should records be stored?
- Who needs access to which signals?
Limits and field conditions
Compatibility with every device or a fixed latency is not assumed. Hardware, connectivity and measurement quality are validated during discovery.
Common questions
Can existing equipment be used?
Suitability depends on the device interface, manufacturer documentation, access permission and a field test. Start by sharing model details and the signals that are available.