Digital Twin Engine · BOM-Driven
Fuel Digital Twin Library
Templates auto-generate telemetry mappings, threshold profiles, AI monitoring, alert rules and maintenance schedules.
🛢
Fuel Tank Twin
Template · v2.4
6
SENSORS
142
INSTANCES
99.4%
UPTIME
⛽
Fuel Pump Twin
Template · v2.4
4
SENSORS
84
INSTANCES
99.4%
UPTIME
🏭
Fuel Depot Twin
Template · v2.4
18
SENSORS
12
INSTANCES
99.4%
UPTIME
🚛
Fuel Bowser Twin
Template · v2.4
5
SENSORS
22
INSTANCES
99.4%
UPTIME
🚚
Fleet Vehicle Twin
Template · v2.4
9
SENSORS
318
INSTANCES
99.4%
UPTIME
⚡
Generator Twin
Template · v2.4
7
SENSORS
64
INSTANCES
99.4%
UPTIME
🚢
Marine Vessel Twin
Template · v2.4
11
SENSORS
8
INSTANCES
99.4%
UPTIME
✈
Aircraft Refuelling Twin
Template · v2.4
8
SENSORS
16
INSTANCES
99.4%
UPTIME
📐
Flow Meter Twin
Template · v2.4
3
SENSORS
196
INSTANCES
99.4%
UPTIME
🔌
Fuel Dispenser Twin
Template · v2.4
5
SENSORS
102
INSTANCES
99.4%
UPTIME
🏗
Storage Facility Twin
Template · v2.4
22
SENSORS
6
INSTANCES
99.4%
UPTIME
BOM Auto-Generation
Fuel Tank · auto-generated topology
Fuel Tank (TK-001) ├─ Level Sensor → telemetry: tank.level.litres ├─ Pressure Sensor → telemetry: tank.pressure.kpa ├─ Water Detection → telemetry: tank.water.percent ├─ Temperature Sensor → telemetry: tank.temp.celsius ├─ Flow Meter → telemetry: tank.flow.lpm └─ Fuel Valve → command: tank.valve.set Auto-generated: ✓ Digital Twin instance ✓ Telemetry mapping (MQTT topic: nexum/fuel/tk-001/+) ✓ Threshold profile (level<20%, water>0.5%, temp>45°C) ✓ Maintenance rules (sensor cal: 90d, valve test: 30d) ✓ Alert rules (12 rules registered in Rules Engine) ✓ AI monitoring profile (anomaly + leak detection)
Real-time State
Streaming via NEXUM Event Bus at 1Hz
Telemetry Stream
Persisted to Time-Series Database (90d hot)
AI Risk Score
Recomputed every 60s by AI Engine
Maintenance History
12 events · MTBF 184 days
Location
Bound to GIS · Johannesburg Depot
Health Score
Composite of 6 sensor health metrics