{"id":29189458,"url":"https://github.com/exploring-solver/digital_twin_bolt","last_synced_at":"2025-07-01T23:08:04.086Z","repository":{"id":302163492,"uuid":"1002168117","full_name":"exploring-solver/digital_twin_bolt","owner":"exploring-solver","description":null,"archived":false,"fork":false,"pushed_at":"2025-06-30T22:50:13.000Z","size":29656,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-30T23:25:32.515Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/exploring-solver.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-14T21:32:31.000Z","updated_at":"2025-06-30T22:50:18.000Z","dependencies_parsed_at":"2025-06-30T23:35:47.280Z","dependency_job_id":null,"html_url":"https://github.com/exploring-solver/digital_twin_bolt","commit_stats":null,"previous_names":["exploring-solver/digital_twin_bolt"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/exploring-solver/digital_twin_bolt","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/exploring-solver%2Fdigital_twin_bolt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/exploring-solver%2Fdigital_twin_bolt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/exploring-solver%2Fdigital_twin_bolt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/exploring-solver%2Fdigital_twin_bolt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/exploring-solver","download_url":"https://codeload.github.com/exploring-solver/digital_twin_bolt/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/exploring-solver%2Fdigital_twin_bolt/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263047676,"owners_count":23405280,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-07-01T23:08:03.364Z","updated_at":"2025-07-01T23:08:03.928Z","avatar_url":"https://github.com/exploring-solver.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Here's a comprehensive and professional GitHub `README.md` template for your **MQTT-based Digital Twin + SCADA + AI Predictive Maintenance** platform. It includes clear sections, feature overviews, and placeholders for screenshots, diagrams, and links.\n\n---\n\n````markdown\n# 🌐 Digital Twin + SCADA + AI Maintenance Platform\n\nA fully modular and scalable platform for real-time monitoring, control, and predictive maintenance using **MQTT**, **time-series databases**, **3D digital twins**, and **AI anomaly detection**. Designed for industries to digitize physical systems, reduce maintenance overhead, and gain intelligent insights.\n\n---\n\n## 🚀 Features\n\n- 🔌 **Sensor-to-Cloud Streaming** via MQTT\n- 📡 Real-Time SCADA Dashboard \u0026 Control\n- 🧠 AI-Powered Predictive Maintenance (LSTM)\n- 🧱 Modular Digital Twin Setup with Drag \u0026 Drop 3D\n- 📊 Customizable Metrics, Alerts \u0026 Health Scoring\n- 🔒 Secure User Auth \u0026 Device Tokenization\n- 🧩 Developer SDKs for Python, C++, JS\n\n---\n\n## 📁 Project Structure\n\n```bash\ndigital-twin-platform/\n├── backend/\n│   ├── api/                 # REST \u0026 WebSocket APIs (FastAPI / Node.js)\n│   ├── ingestion/           # MQTT listener \u0026 validator\n│   ├── ai/                  # LSTM autoencoder models\n│   ├── synthesis/           # Metric rollups, aggregators\n│   └── db/                  # Supabase/PostgreSQL schema + migrations\n├── frontend/\n│   ├── ui/                  # Bolt UI dashboard (React + Tailwind)\n│   ├── twin-editor/         # Three.js 3D Digital Twin Viewer\n│   └── scada-panel/         # Controls, metrics, visual alerts\n├── sdk/\n│   ├── python/\n│   ├── cpp/\n│   └── js/\n└── docs/\n    └── architecture.md\n````\n\n---\n\n## 📸 Screenshots\n\n\u003e **📌 Add screenshots below showing key features**\n\n* ✅ Digital Twin Setup Panel\n* 📈 Real-Time Sensor Dashboard\n* 🧠 AI Predictive Maintenance Results\n* 🎮 SCADA Controls + Emergency Stop\n\n```\n![Twin Setup](docs/screenshots/twin-setup.png)\n![SCADA Panel](docs/screenshots/scada-dashboard.png)\n![Anomaly Detection](docs/screenshots/anomaly-ai.png)\n```\n\n---\n\n## 🧭 System Architecture\n\n\u003e **📌 Insert architecture diagram here**\n\n```\n![Architecture Diagram](docs/diagrams/system-architecture.png)\n```\n\nOr generate with Mermaid:\n\n```mermaid\nflowchart LR\n  Sensors --\u003e MQTT_Broker\n  MQTT_Broker --\u003e Ingestion\n  Ingestion --\u003e TS_DB\n  TS_DB --\u003e AI_Engine\n  AI_Engine --\u003e API\n  API --\u003e Frontend\n  Frontend --\u003e User\n```\n\n---\n\n## 📦 Tech Stack\n\n| Layer         | Technology                                      |\n| ------------- | ----------------------------------------------- |\n| **Edge**      | ESP32, PLCs, Raspberry Pi                       |\n| **Messaging** | MQTT (Mosquitto / EMQX)                         |\n| **Backend**   | FastAPI / Node.js, Supabase (PostgreSQL), Redis |\n| **AI Engine** | Python, LSTM Autoencoder, Pandas                |\n| **Frontend**  | React, Three.js, Tailwind, Recharts             |\n| **Infra**     | Docker, Nginx, Supabase Functions               |\n\n---\n\n## 🛠️ Setup Instructions\n\n### 1. Clone the Repo\n\n```bash\ngit clone https://github.com/yourusername/digital-twin-platform.git\ncd digital-twin-platform\n```\n\n### 2. Configure Environment\n\nCreate `.env` in `backend/` and `frontend/`:\n\n```env\n# backend/.env\nSUPABASE_URL=\nSUPABASE_KEY=\nMQTT_BROKER_URI=\nJWT_SECRET=\n```\n\n### 3. Start the Services\n\n```bash\n# Backend (Ingestion, API, Synthesis)\ndocker-compose up --build\n\n# Frontend\ncd frontend/\nnpm install\nnpm run dev\n```\n\n---\n\n## 👤 How It Works (User Journey)\n\n\u003e [📖 Full walkthrough in `docs/user-journey.md`](docs/user-journey.md)\n\n1. ✅ **User signs up**, receives secure access token.\n2. 🧠 **Creates Digital Twin** (GLTF import + config).\n3. 🛰️ **Registers Sensors**, gets MQTT topics per device.\n4. 🔌 **Edge device publishes data** via MQTT.\n5. 📊 **Dashboard visualizes live data**, health scores.\n6. ⚙️ **SCADA Panel controls** actuators (e.g. hoist).\n7. 🤖 **AI engine analyzes 1-month data** to suggest maintenance.\n\n---\n\n## 📚 Documentation\n\n* 📌 [Architecture Overview](docs/architecture.md)\n* 📌 [Database Schema](docs/db-schema.md)\n* 📌 [AI Model Design](docs/ai-predictive.md)\n* 📌 [Developer SDKs](docs/sdk-guide.md)\n* 📌 [API Reference](docs/api-spec.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexploring-solver%2Fdigital_twin_bolt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fexploring-solver%2Fdigital_twin_bolt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexploring-solver%2Fdigital_twin_bolt/lists"}