Smart Operations

IIoT for machine and utility data

Make selected machine and utility signals usable for shift reviews, maintenance and abnormal-event follow-up. Start with a defined equipment group and a clear action for each measurement.

Discuss a solution
A factory technician checks a handheld measuring instrument beside an industrial motor.
Illustrative work scenario. Equipment data collection and monitoring.

What it can look like on site

Illustrative scenario and sample data. Views and rules are agreed during the pilot.

Motor current across one shiftCurrent (A)
Motor current across one shift — No data3020100No data08:0009:0010:0011:00
08:00–09:20
Compare the rise in current with the active work order and the equipment operating state.
09:20–10:00
A gateway outage leaves a visible gap. Treat missing readings separately from zero current.
10:00 onward
Check source timestamps after reconnection and compare the recovered record with the equipment log.

Where it fits

From data to action

  1. Survey points and permissions

    Record equipment IDs, readable signals, data types, units, sampling needs and the OT owner. Plan read-only access. If a point is unavailable, document the gap and agree whether to exclude it, use a manual record or quote an added sensor.

  2. Collect and qualify

    Where equipment and network conditions allow, map approved points to a gateway or existing data service. Keep source time and quality status where available. Record gaps, resets and manual values separately.

  3. Review and act

    Show a shift timeline or trend with the relevant operating context. Route an agreed exception to the responsible role and record follow-up.

What to include in the proposal

Pilot acceptance and exceptions

Discuss a pilot

Identify one machine, its available signals and who can authorize access.