Industrial Integration.
From Protocol to Dashboard.

Simulated factory line with OPC UA Server, MQTT Event Bus, InfluxDB time series, and Grafana Monitoring. Completely containerized, one command to start.

⚙ Control Panel ▤ Grafana Dashboard </> Source Code

Architecture

OPC UA Server

node-opcua

:4840

→

Data Bridge

Node.js

→

MQTT

Mosquitto

:1883

→

InfluxDB

Time Series

:8086

→

Grafana

Dashboards

:3000

Protocols & Technologies

OPC UA

Industry standard protocol. Server models Printer, Scanner, Sensor, and Production Line as an information model.

MQTT

Lightweight event bus. Machine data is published on topics and consumed by any subscriber (MES, PLC, Cloud).

REST / HTTP

Control API for starting, stopping, and triggering error scenarios. Control Panel communicates via REST.

InfluxDB Flux

Time series database. All OPC UA variables are written as data points and visualized in Grafana.

Docker Compose

Six services, one command. Complete infrastructure containerized and reproducible.

Node.js + Python

OPC UA Server and Data Bridge in Node.js, Control Panel in Python/FastAPI. Real-world combination.

What This Demo Shows

OPC UA Information Model

Realistic modeling of Printer, Scanner, Environmental Sensor, and Production Line with status variables and KPIs.

End-to-End Event Pipeline

Printing, Scanning, Validating, Logging as an automatic, event-driven process.

Protocol Diversity

OPC UA, MQTT, HTTP/REST, and InfluxDB Flux in an integrated architecture.

Live Monitoring

Grafana dashboard with temperature, vibration, OEE, cycle time, and print/scan statistics.

Error Scenarios

Manually triggerable faults with automatic recovery. Shows error handling under real conditions.

Containerized

Complete infrastructure in Docker Compose. Reproducible, portable, production-ready.

Industrial Integration.From Protocol to Dashboard.

Industrial Integration.
From Protocol to Dashboard.