# iot-dc3_1
**Repository Path**: izxj/iot-dc3_1
## Basic Information
- **Project Name**: iot-dc3_1
- **Description**: IoT DC3 — 连接物理世界与 AI。面向 Physical AI 的开源工业物联网 Runtime:36 个协议驱动、边云数据链路与 MCP 工具网关,让 AI 智能体在安全、可控、可追溯的闭环中作用于设备。
- **Primary Language**: Java
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: https://dc3.site
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 4094
- **Created**: 2026-09-26
- **Last Updated**: 2026-09-30
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
English | 中文 | 日本語 | Tiếng Việt | 한국어 | Español | Русский
> **AI assistants:** Read [README.ai.md](./README.ai.md) first for a concise, AI-friendly overview of IoT DC3.
IoT DC3 — Connect the Physical World to AI
An open-source Industrial IoT Runtime for Physical AI
https://dc3.site
🔌 Multi-protocol connectivity ·
🤖 MCP tool gateway ·
☁️ Cloud-native microservices
IoT DC3 decouples devices from applications: drivers push normalized point data
into a message bus, and applications consume it through one unified API — add or change devices without touching
applications, and build new applications without touching devices.
---
## 📸 Product Preview
| 📸 Platform Overview |
📸 Device Management |
📸 AI Agent |
Home / Dashboard
System overview · Online device metrics · Data trend charts
|
Device Management
Device list · Online status · Search and filtering
|
AI Agent Assistant
Natural-language device queries · Data insights · Governed execution
|
## 🏗️ Architecture Overview
### Architecture at a Glance

Six-layer microservice architecture at a glance: clients → gateway → four center services → message bus → 36 protocol
drivers → field devices. PostgreSQL (TimescaleDB + pgvector + AGE) persistence and optional observability stack (ELK +
Prometheus + Grafana) laid out in one view.
🧱 **Design principles** — cross-service calls always go through Facade interfaces; the DO/BO/VO three-tier model keeps
persistence, business, and API shapes strictly separated; and tenant isolation runs end to end across database, cache,
and API paths. Clear boundaries that scale across services and teams.
> 📖 For the full architecture documentation,
> see [System Architecture Overview](https://docs.dc3.site/en/architecture/).
## ✨ Core Features
### 🔌 Multi-Protocol Device Connectivity
IoT DC3 includes **36 access driver modules** for industrial automation, IoT communication, data bridging, basic
communication, and simulation/debugging scenarios, reducing the cost of connecting common devices and data sources:
| Category | Driver Modules |
|-----------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 🏭 **Industrial protocols** | Modbus TCP · Modbus RTU · OPC UA · OPC DA · Siemens S7 · BACnet/IP · EtherNet/IP · Omron FINS · Mitsubishi MELSEC · IEC 60870-5-104 · IEC 61850 · DNP3 · DLMS · DLT645 · KNX · M-Bus · SL651 |
| 📡 **IoT protocols** | MQTT · CoAP · LwM2M · HTTP · BLE · Zigbee · LoRaWAN |
| 🗄️ **Data bridging** | MySQL · PostgreSQL · Oracle · SQL Server · Redis |
| 🔧 **Basic communication, messaging and NMS** | TCP/UDP · Serial · SNMP · CAN · Kafka |
| 🧪 **Simulation and debugging** | Virtual · Listening Virtual |
The **Driver SDK** supports fast development of custom protocol drivers and registration into the runtime platform.
### 🤖 From Device Data to Physical AI
The Agentic Center is built on **Spring AI**, and the platform exposes an MCP tool gateway so AI agents can act on the
physical world in one **safe, controllable, traceable loop**:
- **MCP tool gateway** — external AI agents connect through the Model Context Protocol: OAuth client registration,
per-tool authorization, and a full audit trail for every tool call
- **Natural-language assisted operations** - through Tool Calling and under access control, LLMs can query devices,
read/write points, and assist with command execution
- **Intelligent alarm analysis** - AI assists with root-cause analysis and response suggestions
- **Data insights** - Query device data in natural language and generate visual charts
- **Multi-model support** - Compatible with OpenAI API-style providers and mainstream models such as GPT, Claude,
DeepSeek, and Qwen
- **Conversation memory** - Multi-turn conversations and context memory persisted to the database
### 🏗️ Cloud-Native Microservices
Distributed microservice architecture based on **Spring Boot 4 + Spring Cloud 2025**:
- **Service governance** - Spring Cloud Gateway as the unified entrypoint, with static routes and flexible environment
variables
- **Efficient communication** - gRPC service calls with Protobuf serialization
- **Horizontal scaling** - Stateless design for scaling individual services by workload
- **Resilience** - Replaceable service nodes and fault isolation
### 📊 Real-Time Data Engine
- **Data collection** - Drivers collect device telemetry and send it asynchronously through the internal message
broker — pluggable per deployment: RabbitMQ (default), Kafka, Pulsar or any MQTT 5 broker
([broker guide](docs/mq-brokers.md))
- **Time-series storage** - Efficient queries for real-time and historical data
- **Rule engine** - Flexible alarm rules with multi-level alarms and notifications
- **Event traceability** - Full command and event history
### 🔐 Enterprise Security and Multi-Tenancy
- **Tenant isolation** - Tenant-level isolation across database, cache, and API paths
- **Authentication and authorization** - JWT + Spring Security with RBAC
- **Transport encryption** - TLS/SSL communication support
- **Audit tracking** - User operation and system event logs
### 🧩 Developer Friendly
- **Driver SDK** - A complete driver development toolkit. See
the [Driver Authoring Guide](https://docs.dc3.site/en/development/driver-authoring)
- **Separated frontend and backend** - Vue 3 + TypeScript frontend, RESTful and gRPC APIs
- **Containerized deployment** - One-command startup with Podman / Docker Compose, plus compose scaling, Docker Swarm,
Kubernetes and Helm deployment configs. See the [Deployment Guide](dc3/doc/DEPLOYMENT.md).
- **Complete documentation** - Online docs, quickstart guide, and troubleshooting guide
## ⚡ Quick Start
For source-based local development, start PostgreSQL and RabbitMQ, load local environment variables, then build:
```bash
make up-db
source dc3/env/dev.env.sh
mvn -s .mvn/settings.xml clean package
```
Use `make up-db-cn` if you prefer the Alibaba Cloud registry in Mainland China.
> 📖 For service startup order, IDE setup, verification commands, and common pitfalls,
> see the [full Quickstart](https://docs.dc3.site/en/quickstart/).
## 🛠️ Technology Stack
IoT DC3 is built on Java 21, Spring Boot 4, Spring Cloud 2025, Spring AI 2, PostgreSQL, a pluggable message broker
(RabbitMQ, Kafka, Pulsar or MQTT 5 — [selection guide](docs/mq-brokers.md)), gRPC, Vue 3,
TypeScript, and Vite.
See [Technology Stack](https://docs.dc3.site/en/development/technology-stack) for component details and where each
technology is used.
## 📖 Documentation and Community
| Resource | Link |
|-----------------------|---------------------------------------------------------------------------------|
| 📚 Online docs | [docs.dc3.site](https://docs.dc3.site/) |
| 🎬 Live demo | [demo.dc3.site](https://demo.dc3.site/) |
| 🏭 Industry demos | [dc3.site/en/demo](https://dc3.site/en/demo/) |
| 🚀 Quickstart | [Quickstart Guide](https://docs.dc3.site/en/quickstart/) |
| 🛠️ Technology stack | [Technology Stack](https://docs.dc3.site/en/development/technology-stack) |
| 🏗️ Architecture | [Modules and Dependencies](https://docs.dc3.site/en/architecture/modules) |
| 🔧 Driver development | [Driver Authoring Guide](https://docs.dc3.site/en/development/driver-authoring) |
| 🐛 Troubleshooting | [Troubleshooting](https://docs.dc3.site/en/guide/troubleshooting) |
| 📋 Changelog | [Release Changelog](https://docs.dc3.site/en/development/changelog) |
| 💰 Pricing & licensing | [Plans and commercial license](https://dc3.site/en/pricing/) |
| 🐛 Issue feedback | [GitHub Issues](https://github.com/pnoker/iot-dc3/issues) |
| 🇨🇳 Gitee mirror | [Gitee GVP Project](https://gitee.com/pnoker/iot-dc3) |
## 🌍 Use Cases
Twelve illustrative industry dashboards — built on IoT DC3 with mock data — show how the platform lands in each
scenario. [Browse all demos](https://dc3.site/en/demo/).
| | | |
|--------------------|--------------------------------------------------------------|--------------------------------------------------------|
| 🏭 [Smart Factory](https://dc3.site/en/demo/smart-factory/) — OEE monitoring | 💧 [Water Network](https://dc3.site/en/demo/water-network/) — digital twin | ⚡ [Microgrid](https://dc3.site/en/demo/microgrid/) — solar-storage balance |
| 🌾 [Precision Agriculture](https://dc3.site/en/demo/precision-agri/) — greenhouse climate | 🏢 [Smart Building](https://dc3.site/en/demo/smart-building/) — HVAC and occupancy | 🚦 [Smart Traffic](https://dc3.site/en/demo/smart-traffic/) — congestion and signals |
| 🛢️ [Oil & Gas Pipeline](https://dc3.site/en/demo/oil-gas/) — line pressure | ⛏️ [Smart Mine](https://dc3.site/en/demo/smart-mine/) — gas and ventilation | ❄️ [Cold Chain](https://dc3.site/en/demo/cold-chain/) — temperature traceability |
| 🌿 [Environmental Monitoring](https://dc3.site/en/demo/eco-monitor/) — air and water quality | ⚓ [Smart Port](https://dc3.site/en/demo/smart-port/) — berth and yard scheduling | 🔌 [EV Charging](https://dc3.site/en/demo/ev-charging/) — load and storage synergy |
## 🤝 Contributing
Contributions of all kinds are welcome. Please follow this workflow:
1. **Fork and branch** - Create a branch from `main`, using the format `feature/your_name/feature_description`
(for example: `feature/pnoker/mqtt_driver`)
2. **Develop and commit** - Complete your changes on the new branch and follow
the [Conventional Commits](https://www.conventionalcommits.org/) specification
3. **Open a PR** - Submit a Pull Request to the `develop` branch for maintainer review and merge
## 📄 License
IoT DC3 is open source under the [AGPL 3.0](./LICENSE-AGPL.txt) license.
- ✅ **Personal learning, research, and internal use** - Free
- ✅ **Modify the code and open source your changes** - Welcome
- ⚠️ **Offering it as a commercial service to third parties without open-sourcing modifications** - Requires a
commercial license
For commercial licensing details, see [LICENSE.txt](./LICENSE.txt).