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The Process

Sensor signal to scheduled visit. Under two hours.

Three stages, fully automated. Your team gets a ready-to-execute work order before the compressor knows it's in trouble.

01
Sensor Ingestion
02
Anomaly Detection
03
Auto-Scheduling
01
Step One

Sensor Ingestion

Fleetpio connects to your existing vibration, temperature, and pressure sensors. We support REST API push, MQTT subscribe, and Modbus polling. Your sensors already speak one of those protocols.

Once connected, data streams into Fleetpio's ingestion pipeline where it's validated, timestamped, and stored against your unit's historical record. Setup for a typical 50-unit fleet: 4–6 hours.

// Live stream — 3 units
unit_id : "CU-014"
vibration_hz: 44.2 // nominal
status : "HEALTHY"

unit_id : "CU-047"
vibration_hz: 63.4 // ↑ elevated
status : "WATCH"

unit_id : "CU-082"
vibration_hz: 45.8
status : "HEALTHY"
02
Step Two

Anomaly Detection

Each compressor unit carries its own health baseline, built from its specific operating history. Fleetpio compares incoming readings against that baseline, tracking frequency-shift patterns associated with bearing wear, refrigerant pressure drift consistent with contamination or low-charge conditions, and the signature vibration profile of early scroll degradation.

Confirmation requires sustained deviation over 48–72 hours. Equipment restarts, defrost cycles, and temporary load spikes don't trigger alerts — only patterns with statistical persistence do.

Anomaly detection · CU-047
Baseline avg
44.2 Hz
Current reading
63.4 Hz
Pattern: Bearing wear signature · 43% above baseline for 68 hours · Confidence: 94%
03
Step Three

Auto-Scheduling

When an anomaly is confirmed, Fleetpio creates a work order — with the unit's location, detected failure pattern, parts pre-estimation based on that failure type, and the estimated labor window. The work order goes to your dispatch queue automatically. Technicians get a mobile notification before anyone manually reviews the alert.

Every step is logged with timestamps: the sensor event that triggered detection, the work order creation, the technician assigned, parts used, and visit completion. That log is your cold chain audit trail — searchable, exportable, ready for an FSMA review without manual reconstruction.

Auto-generated work order
PriorityHIGH — 18–24 day window
Failure typeBearing wear
Parts neededCB-488 bearing kit
Est. labor2.5 hrs
Dispatch statusQueued → July 2, 08:00
End-to-End Timeline

What happens in the first 2 hours after a sensor event

From the moment Fleetpio detects a sustained anomaly to the moment a technician visit is confirmed on-calendar — typically under 2 hours, with no human intervention required.

T+0

Anomaly confirmed

68-hour sustained vibration deviation triggers alert logic. Confidence threshold 90%+ reached.

T+4m

Work order generated

System creates WO with unit history, failure pattern classification, and parts recommendation.

T+12m

Dispatch manager notified

Email + SMS alert with work order link. No action required — visit is already auto-queued.

T+1.8h

Visit scheduled on calendar

Technician assigned, calendar slot confirmed, parts pre-staged. Audit trail entry logged.

Ready to convert your emergency dispatch backlog into a scheduled maintenance calendar?

Walk through the full pipeline with your fleet profile — we'll show you where your current sensor data would have fired alerts, and which units in a comparable fleet were flagged before failure.