Capa 1 · Dispositivos IoT, Sensores & Actuadores
Sensores de Temperatura
HVAC / Ambiente
Temp: 23.4°C
Humidity: 58%
Setpoint: 22°C
420 units
MQTT
5s interval
Maquinaria Industrial
PLC / SCADA
RPM: 3,420
Vibración: 0.8mm/s
Torque: 142 Nm
85 units
Modbus/OPC-UA
100ms
Medidores de Energía
Smart Grid
kW: 847.2
kWh hoy: 12,480
PF: 0.94
320 units
Modbus TCP
1s
Cámaras de Seguridad
CCTV / AI Vision
Feeds: Live 4K
Motion: 12 events/h
Storage: 4.2 TB
180 cams
RTSP/HTTP
30fps
GPS Fleet Tracking
Vehículos / Logística
Lat: 14.6349°N
Speed: 72 km/h
Fuel: 68%
240 vehicles
LTE/GPS
10s
Sensores de Agua & Flujo
Hidráulica
Flow: 142 L/min
Pressure: 4.2 bar
pH: 7.1
95 sensors
LoRaWAN
30s
Calidad del Aire
Environmental
CO2: 412 ppm
PM2.5: 18 µg/m³
VOC: 0.3 ppm
160 units
Zigbee
15s
Control de Acceso
RFID / Biometric
Entries: 847 hoy
Denied: 3
Active: 342 badges
64 doors
BLE/NFC
Event
Iluminación Inteligente
Smart Building
Lux: 480
Watts: 12.4 kW
Zones: 28 activas
520 lights
Zigbee/DALI
Dim ctrl
Vibración & Predictivo
Predictive Maint.
Vel: 2.1 mm/s
Accel: 0.4g
Health: 92%
140 nodes
BLE 5.0
250ms
Básculas & Inventario
Warehouse
Weight: 2,480 kg
Level: 74%
Pallets: 1,204
68 scales
RS485/MQTT
Event
Paneles Solares
Renewable Energy
kW gen: 284
Efficiency: 18.7%
Irrad: 920 W/m²
1,200 panels
Modbus/MQTT
5s
Detección Humo & Fuego
Fire Safety
Smoke: Normal
CO: 2 ppm
Heat: 24.8°C
380 detectors
Zigbee/Wire
Event
Cadena de Frío
Cold Chain
Temp: -18.2°C
Door: Closed
Compressor: ON
42 chambers
MQTT/LoRa
10s
Wearables Industriales
Worker Safety
Heart: 78 bpm
SpO2: 98%
Location: Zone B
180 devices
BLE 5.0
1s
Drones & UAV
Aerial Inspection
Alt: 120m
Battery: 64%
Status: Flying
8 drones
LTE/5G
500ms
Edge Gateways · Agregadores
Edge GW-01
Planta A · 840 devices · ARM
Edge GW-02
Planta B · 620 devices · ARM
Edge GW-03
Warehouse · 480 devices · x86
Edge GW-04
Fleet Hub · 240 vehicles · LTE
Edge GW-05
Solar Farm · 1200 panels · MQTT
Edge GW-06
Smart Building · 667 sensors
Capa 2 · MCP — Orquestador IoT
● ONLINE
IoT Orchestrator
MCP
2,847 dispositivos · 14,200 sensores · 1.2M data points/min · 10 protocolos
01
Ingest Telemetry
OK
02
Decode & Normalize
OK
03
Validate Ranges
OK
04
Time-Series Store
Running
05
Edge AI Inference
Running
06
Anomaly Detection
OK
07
Rule Engine
OK
08
Aggregate & Push
OK
IoT Context → LLM
Capa 3 · SOfia — IoT Intelligence Engine
● ONLINE
AI-Powered IoT Intelligence
SOfia
Analítica predictiva · Anomalías · Automatización · Digital Twin
Predictive Maintenance
Anomaly Detection AI
Energy Optimization
Fleet Route Optimizer
Digital Twin Engine
Computer Vision
Cold Chain Monitor
Worker Safety AI
NLP Incident Reports
Auto-Actuator Control
Dispositivos Online
2,847
de 2,860 total
Anomalías Detectadas
142
últimas 24h
Predicciones Activas
38
maintenance windows
Energía Ahorrada
18.4%
vs baseline
Downtime Prevenido
47h
este mes
Egress · Salidas IoT
→IoT Dashboard Live
→PagerDuty Alerts
→SCADA Integration
→Digital Twin 3D
→Actuator Commands
→Fleet Management
→ERP (SAP PM)
→Compliance Reports
→Mobile App (Field)