docs: add deployment guide for edge agent
- Prerequisites (hardware, software, versions) - Step-by-step deployment instructions - Configuration examples - Troubleshooting table - OTA update workflow
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DEPLOYMENT.md
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DEPLOYMENT.md
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# AI-tianyan 边缘部署操作指南
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## 前置条件
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| 项目 | 要求 |
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|---|---|
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| 硬件 | Atlas 200I DK2 (Ascend 310B4) 或 Ascend 310B4 设备 |
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| OS | Ubuntu 22.04 aarch64 |
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| Go | 1.18+ |
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| Python | 3.9+ |
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| CANN | 6.2.RC2 (Ascend Toolkit) |
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| 云端 | 101.36.73.102 (API/MQTT/InfluxDB/OTA/ZLMediaKit) |
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---
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## 步骤 1: 拉取代码
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```bash
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git clone http://101.36.73.102:3112/fyah/AI-tianyan.git
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cd AI-tianyan
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```
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---
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## 步骤 2: 转换 YOLO 模型 (.onnx → .om)
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```bash
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# 在 CANN 环境设备上执行
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source /usr/local/Ascend/ascend-toolkit/set_env.sh
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# 执行 ATC 转换
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bash scripts/atc_convert.sh
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# 或手动转换
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atc --model=yolov8n.onnx \
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--framework=5 \
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--output=model/model.om \
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--soc_version=Ascend310B4 \
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--input_format=NCHW \
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--input_shape="images:1,3,640,640"
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# 复制模型到指定位置
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cp yolov8n.om model/model.om
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```
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---
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## 步骤 3: 编译 Go 边缘代理
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```bash
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# 设置 Go 代理（国内环境）
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export GOPROXY=https://goproxy.cn,direct
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# 构建
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bash scripts/build.sh
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# 或使用 make build
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# 输出: build/edge-agent
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```
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---
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## 步骤 4: 安装部署
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```bash
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# 一键安装
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bash scripts/install.sh
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# 或 make install
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# 安装脚本会:
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# 1. 创建 /opt/tianyan-edge/{bin,python,config,systemd,staging,model}
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# 2. 复制 edge-agent 到 /opt/tianyan-edge/bin/
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# 3. 复制 infer_server.py 到 /opt/tianyan-edge/python/
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# 4. 安装 Python 依赖 (opencv-python-headless, numpy)
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# 5. 安装 systemd 服务文件
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# 6. 启用并启动服务
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```
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---
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## 步骤 5: 配置 edge.yaml
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```bash
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sudo vi /opt/tianyan-edge/config/edge.yaml
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```
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关键配置项:
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```yaml
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device_uuid: 8541db9f77826e39605ef2c032f8fb93 # 设备唯一标识
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edge_id: edge-demo-001
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cloud_url: http://101.36.73.102:8004 # 云端 API
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mqtt_broker: tcp://101.36.73.102:1883 # MQTT 消息
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rtsp_urls:
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- http://101.36.73.102:8080/rtp/34020000002000000003_34020000001310000001.live.flv
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infer_socket: /tmp/edge-infer.sock
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infer_fps: 2 # 推理帧率
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conf_threshold: 0.2 # 检测阈值
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ota_url: http://101.36.73.102:8087 # OTA 更新地址
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version: 1.0.0
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```
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---
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## 步骤 6: 启动服务
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### 方式 A: systemd (推荐)
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```bash
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# 启动推理服务
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sudo systemctl start edge-infer
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# 启动边缘代理
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sudo systemctl start edge-agent
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# 设置开机自启
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sudo systemctl enable edge-infer edge-agent
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# 查看状态
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sudo systemctl status edge-agent edge-infer
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sudo journalctl -u edge-agent -f
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```
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### 方式 B: 手动启动
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```bash
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# 启动推理服务
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bash -lc 'source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
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NAMES_FILE=/root/AI-tianyan/model/names.txt \
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CONF_THRESHOLD=0.15 \
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python3 python/infer_server.py' &
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# 启动边缘代理
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./build/edge-agent -config config/edge.yaml
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```
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### 方式 C: 一键脚本
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```bash
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bash start.sh
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```
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---
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## 步骤 7: 验证运行
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```bash
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# 检查进程
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ps aux | grep -E 'edge-agent|infer_server|ffmpeg'
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# 检查网络连接
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ss -tunp | grep 101.36.73.102
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# 检查 NPU 状态
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npu-smi info
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# 检查日志
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sudo journalctl -u edge-agent -n 50
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sudo journalctl -u edge-infer -n 50
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tail -f logs/agent.log logs/infer.log
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```
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---
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## 步骤 8: 配置 Telegraf 指标上报 (可选)
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```bash
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# Telegraf 已安装 (v1.21.4)
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# 配置文件: /etc/telegraf/telegraf.conf
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# 已配置上报到 InfluxDB (101.36.73.102:18086)
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# 重启 Telegraf 使配置生效
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sudo systemctl restart telegraf
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sudo systemctl status telegraf
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```
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---
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## 常见问题排查
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| 问题 | 解决方法 |
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| `acl.init failed` | 确认 `set_env.sh` 已执行，检查 `LD_LIBRARY_PATH` |
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| `model.om not found` | 重新执行 ATC 转换，确认路径正确 |
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| 无法连接 MQTT | 检查 `mqtt_broker` 地址和 `edge_token` |
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| 拉流失败 | 确认 ZLMediaKit 端口 8080 可达 |
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| 编译失败 | `GOPROXY=https://goproxy.cn,direct go mod download` |
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---
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## 更新部署 (OTA)
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```bash
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# 云端推送新版本后，edge-agent 自动检测并下载
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# 也可手动更新:
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git pull
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make build
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make install
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sudo systemctl restart edge-agent edge-infer
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```
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