Predictive Inspection Workflow: Optimizing Asset Health Monitoring

Start of the Workflow/Process.

Retrieve existing asset records and associated inspection history from the Asset Data Model.

Fetch latest sensor readings or manual inspection data for the specific asset being inspected.

Automatically create and assign a new inspection task to the assigned field technician based on asset location/due date.

Create a follow-up task for the supervisor to review the completed inspection data within 24 hours.

Update the asset record with the technician's findings, including pass/fail status and captured data.

Create a new, dedicated log entry in the 'Deficiencies' data model if inspection parameters are not met.

Execute a formula (e.g., (Current Readings - Baseline) / Degradation Rate) to estimate asset lifespan remaining.

Calculate an overall asset risk score based on the aggregation of multiple data points (e.g., vibration, temperature, age).

Calculate metrics (average, max variance) from the last N inspection entries for trend analysis.

Email the Asset Owner and Maintenance Manager upon successful completion and data submission.

Send an immediate SMS alert to emergency contacts if a critical failure threshold is detected during the inspection.

Automatically compile all gathered data, deficiency logs, and calculated metrics into a final, auditable PDF report.

Start of the Workflow/Process.