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

带式输送机AI监测系统

4模态融合监测 | 视觉缺陷检测 | 振动异常分析 | 温度监控 | 音频诊断

YOLOv8视觉检测 Transformer时序分析 MFGAN多模态融合 澳洲矿业标准
Real Data
系统运行正常
AI模型状态
✅ Isolation Forest 准确率: 95.75%
✅ LSTM 准确率: 97.25%
✅ OneClassSVM
All models are ready

6-Layer Intelligent Architecture6-Layer

0
预防性分析

FMEA Preventive Analysis

已完成
1
Real-time Monitoring

Multi-sensor Data Collection

Layer Status
2
多模态融合

Visual + Vibration + Temperature + Audio

Pending
2.5
FMEA衔接

FMEA Pattern Matching

Pending
3
FTA根因分析

Fault Tree Analysis

Pending
4
持续改进

Model Optimization & Learning

Pending

Conveyor Status Visualization

Start Point
Middle Section
End Point
振动分析
2.3
mm/s RMS
common.normal
Bearing Status: 良好
温度监测
42
°C
38°C
Bearing Temp: 45°C
视觉检测
95
无
Misalignment: common.normal
音频分析
65
dB
无
MFCC Status: common.normal
多模态融合
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
故障预测时间线
当前状态

所有系统运行正常, 无异常检测

实时监测
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
智能诊断系统
System Status
All systems operational
0
common.normal
Smart Configuration
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