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Vehk Axle Dashboard

Complete guide to navigating and using the Vehk Axle dashboard.

Dashboard Overview​

Vehk Axle Dashboard

The dashboard provides real-time visibility into your entire fleet with predictive maintenance insights.


The sidebar is organized into three main sections:

CORE

Menu ItemDescription
OverviewMain dashboard with fleet summary and health metrics
VehiclesView and manage all vehicles in your fleet
PredictionsAI-powered maintenance predictions

DIAGNOSTICS

Menu ItemDescription
DTC CodesActive Diagnostic Trouble Codes across fleet
Live DiagnosisReal-time vehicle diagnostics
AlertsCritical and warning alerts

OPERATIONS

Menu ItemDescription
MaintenanceSchedule and track maintenance work
AnalyticsFleet-wide analytics and trends
ReportsGenerate and download reports
BillingSubscription and usage billing

SETTINGS

Menu ItemDescription
Kafka ConfigConfigure data streaming settings
Tenant KafkaMulti-tenant Kafka settings

Home Page (Overview)​

Key Metrics Cards​

At the top of the dashboard, you'll see four key metrics:

MetricDescriptionExample
Total VehiclesTotal vehicles in your fleet1100
Active AlertsAlerts requiring attention0
Tracking VehiclesVehicles currently sending telemetry1041
Predictions TodayML predictions generated today100

Fleet Health Chart​

The Fleet Health Overview chart shows:

  • Real-time health score trends (0-1200 range)
  • 24-hour or custom time range views
  • Auto-refresh with last update timestamp

Today's Predictions Panel​

View all predictions generated today:

  • Severity badges: Low (green), Medium (yellow), High (red)
  • Vehicle ID: Which vehicle the prediction is for
  • Component: Battery, Engine, Brakes, etc.
  • Issue: Description of the predicted issue
  • RUL: Remaining Useful Life in days/km
  • Estimated Cost: Predicted repair cost
  • Confidence: ML model confidence score

Vehicles Page​

Click Vehicles in the sidebar to see:

Vehicle List​

  • All vehicles with health scores (color-coded)
  • Last location and update time
  • Driver assignment
  • Quick status: Online/Offline

Vehicle Details​

Click any vehicle to see:

  • Real-time telemetry (speed, RPM, temperature, fuel)
  • Health score with component breakdown
  • Recent alerts and predictions
  • Maintenance history
  • Location on map

Predictions Page​

The Predictions page shows AI-generated maintenance predictions:

Prediction Cards​

Each prediction includes:

  • Severity Level: Low, Medium, High, Critical
  • Component: Which part needs attention
  • Issue Description: What the ML model detected
  • RUL: Remaining Useful Life estimate
  • Cost Estimate: Expected repair cost
  • Confidence Score: How confident the model is (0-100%)

Filters​

  • Filter by severity
  • Filter by component
  • Filter by vehicle
  • Sort by date, RUL, or confidence

Alerts Management​

Alert Types​

TypeColorDescription
Critical🔴 RedImmediate safety risk - stop vehicle
High🟠 OrangeMaintenance needed within 7 days
Medium🟡 YellowSchedule maintenance this month
Low🔵 BlueInformational - optimization tips

Alert Actions​

  • Mark as acknowledged
  • Assign to technician
  • Schedule maintenance
  • Add notes

Reports​

Generate reports from the Reports section:

Available Reports​

  • Fleet Health Summary
  • Maintenance Cost Analysis
  • Prediction Accuracy Report
  • Vehicle Utilization Report
  • Driver Performance Report

Export Options​

  • PDF download
  • Excel export
  • Email scheduled reports

Top Navigation Bar​

ElementDescription
Vehk logoReturn to Overview
Axle / Fleet OwnerSwitch between views (if applicable)
ShortcutsQuick access to common actions
CustomizeDashboard layout preferences
EmergencyQuick access to critical actions
NotificationsView all notifications
ProfileAccount settings, logout

Tips for Fleet Managers​

Daily Workflow​

  1. ✅ Check Active Alerts - address any red/orange alerts first
  2. 📊 Review Today's Predictions - plan upcoming maintenance
  3. 🚗 Monitor Tracking Vehicles - ensure fleet is connected
  4. 📈 Check Fleet Health trend - look for declining patterns

Best Practices​

  • Review predictions daily
  • Act on high-confidence predictions (>85%)
  • Use RUL estimates for scheduling
  • Export weekly reports for management

Next Steps​