
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
TDengine IDMP (Industrial Data Management Platform) is an AI-native data management platform for IoT and industrial scenarios. It organizes sensor and device data in a classic tree-like hierarchy, builds a data catalog, contextualizes and standardizes the information, and offers real-time analytics, visualization, event management, and alerting.
Note: TDengine IDMP requires a running https://hub.docker.com/r/tdengine/tsdb-ee instance as its data source. See the Docker Compose Example below or the https://github.com/taosdata/tdengine-idmp-deployment for complete deployment instructions.
bash# 1. Start TDengine TSDB docker run -d \ --name tdengine-tsdb \ -p 6041:6041 \ tdengine/tsdb-ee:latest # 2. Start TDengine IDMP (linked to TSDB) docker run -d \ --name tdengine-idmp \ --link tdengine-tsdb \ -p 6042:6042 \ -p 6038:6038 \ -e TSDB_URL=http://tdengine-tsdb:6041 \ tdengine/idmp-ee:latest
Once the container is running, access the IDMP web interface at http://localhost:6042.
| Image | Description |
|---|---|
tdengine/idmp-ee | TDengine IDMP Enterprise Edition — full-featured platform with web UI, analytics, visualization, event management, and alerting |
tdengine/idmp-ai-ee | TDengine IDMP AI Edition — AI service component with OCR, sentence-transformer models, and intelligent data analysis capabilities |
Images are available for the following architectures:
linux/amd64 (x86_64)linux/arm64 (aarch64)| Port | Protocol | Type | Service |
|---|---|---|---|
6042 | HTTP | External | IDMP Web UI and REST API |
6034 | HTTPS | External | Secure access to Web UI and REST API (recommended for production) |
6037 | MCP | External | AI Agent access port |
6038 | HTTP | Internal | Embedded H2 database web console |
6039 | TCP | Internal | Embedded H2 database listener |
6040 | HTTP | Internal | AI chat service API (AI image only) |
Ensure that external ports (6042, 6034, 6037) are accessible through firewalls. Internal ports should only be accessible within the private network.
| Variable | Description | Default |
|---|---|---|
TZ | Container timezone (e.g. Asia/Shanghai) | UTC |
TSDB_URL | TDengine TSDB REST API URL | http://localhost:6041 |
IDMP_URL | Externally accessible IDMP URL (used for link generation, callbacks) | http://localhost:6042 |
QUARKUS_PROFILE | Application runtime profile | prod |
AI_SERVER_URL | URL of the IDMP AI service | http://tdengine-idmp-ai:6040 |
H2_EXTERNAL_NAME | External hostname for the H2 web console | — |
TDA_AI_CONN_ZH | AI LLM provider for Chinese | DeepSeek |
TDA_AI_CONN_EN | AI LLM provider for English | OpenAI |
| Variable | Description | Default |
|---|---|---|
TZ | Container timezone | UTC |
IDMP_URL | IDMP service URL | http://tdengine-idmp:6042 |
IDMP_JAVA_API_URL | IDMP Java API URL | http://tdengine-idmp:6042/ |
TDA_AI_CONN_ZH | AI LLM provider for Chinese | DeepSeek |
TDA_AI_CONN_EN | AI LLM provider for English | OpenAI |
IDMP_DATA_PATH | Data storage path | /var/lib/taos/idmp |
IDMP_LOG_PATH | Log output path | /var/log/taos |
To preserve data across container restarts, mount the following volumes:
bashdocker run -d \ --name tdengine-idmp \ -p 6042:6042 \ -p 6038:6038 \ -e TSDB_URL=http://your-tsdb-host:6041 \ -v idmp-data:/var/lib/taos \ -v idmp-logs:/var/log/taos \ tdengine/idmp-ee:latest
| Mount Point | Description |
|---|---|
/var/lib/taos | Application data (H2 database, etc.) |
/var/log/taos | Application logs |
/usr/local/taos/idmp/config | Configuration files |
yamlservices: tdengine-tsdb: image: tdengine/tsdb-ee:latest container_name: tdengine-tsdb hostname: tdengine restart: always environment: TZ: "${TZ:-UTC}" ports: - "6041:6041" volumes: - tsdb_data:/var/lib/taos - tsdb_log:/var/log/taos healthcheck: test: ["CMD", "taos", "-h", "localhost", "-s", "show databases;"] interval: 30s timeout: 10s retries: 5 start_period: 30s tdengine-idmp: image: tdengine/idmp-ee:latest container_name: tdengine-idmp restart: always depends_on: tdengine-tsdb: condition: service_healthy environment: TZ: "${TZ:-UTC}" TSDB_URL: "http://tdengine-tsdb:6041" IDMP_URL: "${IDMP_URL:-http://localhost:6042}" AI_SERVER_URL: "http://tdengine-idmp-ai:6040" ports: - "6042:6042" - "6038:6038" volumes: - idmp_data:/var/lib/taos - idmp_log:/var/log/taos tdengine-idmp-ai: image: tdengine/idmp-ai-ee:latest container_name: tdengine-idmp-ai restart: always environment: TZ: "${TZ:-UTC}" IDMP_URL: "http://tdengine-idmp:6042" IDMP_JAVA_API_URL: "http://tdengine-idmp:6042/" ports: - "6040:6040" volumes: - idmp_data:/var/lib/taos - idmp_log:/var/log/taos volumes: tsdb_data: tsdb_log: idmp_data: idmp_log:
tdengine (UID 101, GID 101)en_US.UTF-8, with zh_CN.UTF-8 supportThe main configuration file is located at /usr/local/taos/idmp/config/application.yml inside the container. You can override it by mounting a custom configuration:
bashdocker run -d \ --name tdengine-idmp \ -p 6042:6042 \ -e TSDB_URL=http://your-tsdb-host:6041 \ -v /path/to/application.yml:/usr/local/taos/idmp/config/application.yml \ tdengine/idmp-ee:latest
For production-grade deployment instructions — including Docker Compose, Ansible (multi-machine), and Helm (Kubernetes) — see the https://github.com/taosdata/tdengine-idmp-deployment repository.
| Method | Use Case | Guide |
|---|---|---|
| Docker | Single-machine containerized deployment | https://github.com/taosdata/tdengine-idmp-deployment/blob/main/docker/README.md |
| Ansible | Automated multi-machine deployment | https://github.com/taosdata/tdengine-idmp-deployment/blob/main/ansible/README.md |
| Helm | Kubernetes cluster deployment | https://github.com/taosdata/tdengine-idmp-deployment/blob/main/helm/README.md |
TDengine IDMP Enterprise Edition is proprietary software. A valid license is required for production use. Please contact TDengine Sales for licensing information.
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