🔍 One-Click Smart Discovery Automatically discover and configure sensors in 30 seconds

Conveyor Belt AI Monitoring System

4-Modal Fusion Monitoring | Visual Defect Detection | Vibration Anomaly Analysis | Temperature Monitoring | Audio Diagnosis

YOLOv8 Vision Detection Transformer Time Series Analysis MFGAN Multimodal Fusion Australian Mining Standards
Real Data
System Running Normally
AI Model Status
✅ Isolation Forest Accuracy: 95.75%
✅ LSTM Accuracy: 97.25%
✅ OneClassSVM
All models are ready

6-Layer Intelligent Architecture6-Layer

0
Preventive Analysis

FMEA Preventive Analysis

Completed
1
Real-time Monitoring

Multi-sensor Data Collection

Layer Status
2
Multi-modal Fusion

Visual + Vibration + Temperature + Audio

Pending
2.5
FMEA Bridge

FMEA Pattern Matching

Pending
3
FTA Root Cause Analysis

Fault Tree Analysis

Pending
4
Continuous Improvement

Model Optimization & Learning

Pending

Conveyor Status Visualization

Start Point
Middle Section
End Point
Vibration Analysis
2.3
mm/s RMS
common.normal
Bearing Status: Good
Temperature Monitoring
42
°C
38°C
Bearing Temp: 45°C
Visual Inspection
95
None
Misalignment: common.normal
Audio Analysis
65
dB
None
MFCC Status: common.normal
Multi-modal Fusion
15
/ 100
Health 85%
Risk 15%
Maintenance Recommendations
Belt tension is normal
All rollers are functioning normally
Schedule routine inspection in 30 days
Vibration Chart
Temperature Chart
Fault Prediction Timeline
Current Status

All systems running normally, No anomalies detected

Real-time Monitoring
conveyor_belt.timeline_status_1

conveyor_belt.timeline_prediction_1

conveyor_belt.timeline_desc_1
conveyor_belt.timeline_status_2

conveyor_belt.timeline_prediction_2

conveyor_belt.timeline_desc_2
Intelligent Diagnostic System
System Status
All systems operational
0
common.normal
Smart Configuration
Next Diagnostic Countdown
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