Alerts & Actions (Interactive Command Center)

Every alert includes why it triggered, projected business impact, recommended actions, and one-click apply/schedule. Changes update a live “$ saved” total and the action queue.

99.1%

Uptime (24h)

192

Throughput (picks/hr)

Alerts (24h)

142h

MTBF

P1 Robot R1 Drive system confidence 88% similar to 4 prior failures

Motor current variance ↑ — (88% risk in 36h)

Impact if unmitigated: $480/hour downtime risk on Line B.

+0.7A above 30-min baseline; temp +1.3 °C vs trend
Torque ripple pattern matches historic gearbox wear
Load spikes under 1.1–1.3× rated payload

7-day trend

Relative impact

Select

P2 Robot R3 Power system confidence 76% conditioning effective in past

Battery degradation rate ↑ — (64% risk in 48h)

Impact if unmitigated: $300/hour charge-induced downtime.

Discharge curve steeper by 17% vs baseline
Cell temp variance ↑ under mid-load

7-day trend

Relative impact

Select

P2 AMR-17 Navigation confidence 69%

Queue spike @ Aisle 12 — reroute suggested

Impact if unmitigated: $220/hour. Suggested: reroute + throttle.

7-day trend

Relative impact

Select

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Runbook: “Motor variance”

Throttle missions on affected unit to 80%.
Reassign heavy loads to sister robots.
Open CMMS ticket; attach 24h current/torque traces.
Schedule supervised test at shift end.

Rule preview

IF current_z > 0.6 & temp_delta > 1.0 & retries_30m > 2
THEN open_alert('motor_variance', severity='P1', suggest=[
  'throttle','reassign','work_order'
])

Version 3.2 • Last updated 2d ago

Smart Insights

🔍 Top pattern: battery SOC & temp correlation ↑ 11% w/w.
💰 Predicted ROI: +$1.2k / mo if mitigated within 24h.
📊 Model accuracy: 83% over last 6 incidents.