delivered · IoT + cloudAn energy analytics consultancy (IKSHA)

Connected turbine IoT analytics

Turbine telemetry turned into performance and condition analytics on the InfiIoT cloud.

Client
An energy analytics consultancy (IKSHA)
Sector
Energy
Status
delivered · IoT + cloud
Platform
InfiIoT
turbine telemetryInfiIoT cloudperformance analyticscondition monitoring
Connected turbine IoT analytics
The situation

Turbine operators already have continuous telemetry, but performance drift and condition signals are not always presented to the people who plan the response.

The hard part

Stream turbine telemetry into a cloud analytics platform that derives performance and condition indicators from the raw trends.

What we built on InfiIoT

The solution, layer by layer.

Telemetry ingestion

Turbine signals stream into the InfiIoT cloud with history retained for analysis and comparison.

Performance analytics

Efficiency and performance drift are tracked as recurring metrics with a retained history.

Condition indicators

Vibration and thermal signals feed condition views so degradation is caught while there is time to plan.

Dashboards & alerts

Live dashboards with threshold alerting through InfiIoT's channels.

The outcome
tracked
performance drift
early
condition indicators
live
dashboards + alerts

Figures are recorded outcomes or project targets. The status label identifies reference architectures and proposals.

Have a problem shaped like this one?

Bring the asset, its current data path, and the decision that is still being made manually. We will map the first useful scope.

Connected-product assessment

Bring one product. Leave with a clear next step.

Use 30 minutes to test the fit around one product and one blocked decision. If there is a fit, we will outline the two-week Product Blueprint.

30-minute fit callOne productNo prepared deck