Digital Twins
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