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- IoT Data Analytics
- Who it's for
- Industrial equipment monitoring
Industrial equipment monitoring
Equipment teams can use a stream to keep a measured source, its reading history and the person responsible for a condition exception together. The Stream Owner identifies each source and agrees its bounds with the Measurement Steward. The Operations Analyst reviews observed values; the Independent Reviewer records a decision for the source revision when approval is required.
How IoT Data Analytics is set up for you
Identify equipment
Use the source record identity and stream owner to distinguish similar monitored assets. Keep the linked organization and effective definition clear.
Review conditions
Compare the stream reading value with its bounds and quality flag. Inspect the run's read-back before accepting its result.
Assign work
Give an open follow-up action to a named Follow-up Owner with a due date and a resolution to record.
Equipment teams can use a stream to keep a measured source, its reading history and the person responsible for a condition exception together. The Stream Owner identifies each source and agrees its bounds with the Measurement Steward. The Operations Analyst reviews observed values; the Independent Reviewer records a decision for the source revision when approval is required.
Begin with an equipment source that has a known normal reading and one outside the agreed bound. Set the definition's effective dates and connect the source identity before collecting. The Operations Analyst registers and validates the readings, then runs anomaly review. Ask them to find the operation steps and confirm that the stream fields match the recorded outcome.
The Independent Reviewer checks the revision and attached evidence before deciding. If the decision is returned, the Stream Owner records the correction as a successor revision. The earlier run and decision remain tied to the original. Reconcile any metric result against eligible readings and keep the earlier result if the source changes.
Before expanding to more equipment, rehearse a failed read-back. The Operations Analyst should inspect the current stream and step trail before another attempt. Use [implementation](/iot-data-analytics/implementation) to plan the cycle and [integrations](/iot-data-analytics/integrations) to set up the measurement source.
Features to start with
Roles on the team
- Stream Owner
- Owns source configuration and the collection cycle for assigned streams.
- Operations Analyst
- Validates readings, investigates anomaly outcomes and reconciles metrics.
- Independent Reviewer
- Decides source-revision reviews and checks supporting evidence.
- Follow-up Owner
- Works assigned corrective actions to a recorded resolution.
- Measurement Steward
- Maintains definitions, source mappings and approved metric rules.
Set up IoT Data Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.