AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

An Introduction to HART Protocol. The aim of this repository is to understand the HART message format & create ways to interface the device data with upstream IoT network

A PHP library that talks OPC UA binary protocol over TCP. It handles the full stack — transport, encoding, secure channels, sessions, crypto — so you can connect to any OPC UA server straight from PHP, without shelling out to C/C++ libraries.

MCP_HACK//26 — Industrial Zero-Trust AI: T-IA Connect + AgentGateway for Siemens TIA Portal

This project simulates a conveyor system with multiple workpiece carriers. Using Unity for 2D layout planning, it aims to answer questions about the required number of carriers. Salabim is employed for discrete event simulation to model and analyze the system's dynamic behavior. Developed as part of a university project.

OPC UA industrial library for executing commands, reads and writes on OPC UA servers

An AAS MCP adapter that exposes configured Asset Administration Shell APIs as Model Context Protocol tools, enabling LLM agents to interact with any AAS-compliant backend.

An advanced Industrial IoT (IIoT) simulator for Smart Factory 4.0 environments using Python, MQTT, and Docker. Emulates configurable production lines with realistic sensor data (vibration, temperature, quality) and predictive alerts.

Open-source industrial OPC UA platform for realtime monitoring and visualization.

A streaming Digital Twin of a steel hot rolling mill demonstrating Online Machine Learning (OML) with Apache Kafka, Apache Flink and MOA to handle real-time concept drift.

AI control fabric for physical systems. Visual pipeline orchestration from LLM reasoning to real hardware — PLCs, ESP32, Pico, Arduino, Raspberry Pi — runs fully local.

An open-source factory intelligence platform for quality drift detection, synthetic factory simulation, governed AI workflows, and industrial operations intelligence.

🎯 AI-powered CNC production monitoring: Automatically tracks machining cycles, optimizes efficiency, reduces costs 15-25%. Real-time analytics, predictive maintenance alerts, seamless MES integration. Industrial-grade security, 99.8% uptime. ROI in 6-12 months. Ready for Industry 4.0.

Industrial IoT Educational Bridge - ESP32 to React Dashboard via MQTT. Learn Industry 4.0 concepts: Edge Computing, MQTT, InfluxDB, Real-time Visualization. Perfect for technical students!

Implementation repository for a master's thesis at Technische Hochschule Ulm on Generative AI for industrial exception handling. Includes RAG and Knowledge Graph agent prototypes as part of the Skill Orchestration Agent project.

Modular Python software architecture for controlling and monitoring Fischertechnik industrial models using Revolution Pi (RevPi) and MQTT.

Features a logic-gate to pause updates and notify stakeholders if maintenance records are incomplete.Simultaneously, machine learning models are used in retool to provide early warnings and suggestions.

Description: Securing IoT-Enabled Smart Factories using Mosquitto MQTT, Node-RED and Wazuh SIEM — RQF Level 03

Bottleneck-analysis tool for a serial production line: load your measured cycle times, validate the model against real output, and quantify the ROI of fixing the constraint.

Ultra-fast (120-180 FPS) bare-metal AI inspection engine for Industry 4.0 edge computing. High-performance defect detection in 3.42 MB RAM.