⚡ Wind Turbine SCADA Agentic AI & MCP Platform

An enterprise-ready industrial AI platform engineered for real-time wind farm telemetry monitoring, ML fault detection, Agentic RAG diagnostics via Model Context Protocol (MCP), and 2-Opt maintenance route optimization.

🚀 Live Demo & Showcase Links

• Interactive Streamlit Web App: https://agenticwindfarm-xcfp5xkrdekl2chdrjxraa.streamlit.app/

• Bolt Interactive Portal: https://wind-turbine-scada-a-4d92.bolt.host

• GitHub Pages Landing Page: https://orcunku.github.io/AgenticWindFarm/

Related MCP server: LangGraph FastAPI MCP Server

🛠️ Key System Features

• False Alarm Suppression Engine (>83% Noise Reduction): Combines unsupervised Isolation Forest anomaly detection with supervised Random Forest classification to eliminate transient SCADA alarm fatigue.

• Maintenance Truck Rollout Optimizer: Compares Greedy Nearest-Neighbor heuristics against 2-Opt Travelling Salesperson Problem (TSP) local search to optimize field engineer routes.

• Model Context Protocol (MCP) Integration: Exposes standardized tool discovery endpoints (/mcp/tools) enabling LLM agents to execute real-time operational diagnostics and action plans.

• Drone Surface Inspection Vision: Simulates multi-modal computer vision blade analysis to detect micro-cracks and leading-edge erosion defects.

• Real-Time Telemetry Streaming: Dynamic WebSocket integration streaming 1-second generator sensor updates directly to interactive telemetry charts.

🏗️ System Architecture

┌───────────────────────────────────┐ │ Streamlit / Bolt UI │ │ (Frontend Dashboard & Stream) │ └─────────────────┬─────────────────┘ │ REST / WebSockets ▼ ┌──────────────────────────────────────────────────────────────────────────────────────────────────┐ │ FastAPI Backend │ │ │ │ ┌──────────────────────────┐ ┌──────────────────────────┐ ┌──────────────────────────┐ │ │ │ Ensemble ML Filter │ │ 2-Opt TSP Optimizer │ │ Model Context Protocol │ │ │ │ (IsoForest + RandForest) │ │ (Field Service Routing) │ │ (/mcp/tools API) │ │ │ └──────────────────────────┘ └──────────────────────────┘ └──────────────────────────┘ │ └──────────────────────────────────────────────────────────────────────────────────────────────────┘

💻 Local Setup & Development

1. Clone the Repository

git clone [https://github.com/orcunku/AgenticWindFarm.git](https://github.com/orcunku/AgenticWindFarm.git)
cd AgenticWindFarm

pip install -r requirements.txt

uvicorn backend:app --port 8000

streamlit run app.py


Developer: Orcun Kusdemir

GitHub: @orcunku