feat: add dynamic config reload, unique device identity (UUID), and MQTT support

- New StreamManager for dynamic RTSP/FLV stream lifecycle
- Dynamic worker scaling for inference
- Device UUID generation and persistence
- Telegraf config and NPU monitoring scripts
- .gitignore for build artifacts

config/edge.yaml

@@ -1,13 +1,21 @@
 edge_id: edge-demo-001
 cloud_url: http://101.36.73.102:8004
+mqtt_broker: "tcp://101.36.73.102:1883"
+mqtt_user: ""
+mqtt_pass: ""
 edge_token: ""
 
-# RTSP 流地址（留空使用演示模式）
+# 视频流配置
 rtsp_urls: []
 
+# 推理配置
 infer_socket: /tmp/edge-infer.sock
 infer_fps: 5
 infer_workers: 3
 conf_threshold: 0.5
 dedup_window_sec: 30
-version: 1.0.0
+
+# OTA 配置 (可选: Hawkbit URL 或 Nginx URL)
+ota_url: http://101.36.73.102:8087
+
+version: 1.0.0

config/telegraf.conf

@@ -0,0 +1,32 @@
+[agent]
+  interval = "10s"
+  round_interval = true
+  metric_batch_size = 1000
+  metric_buffer_limit = 10000
+  flush_interval = "10s"
+  hostname = "edge-001" # 启动时替换为实际 edge_id
+
+# 输出到云端 InfluxDB
+[[outputs.influxdb_v2]]
+  urls = ["http://101.36.73.102:18086"]
+  token = "my-super-secret-token"  # 替换为实际 token
+  organization = "tianyan"
+  bucket = "edge_metrics"
+
+# 基础硬件监控
+[[inputs.cpu]]
+  percpu = false
+  totalcpu = true
+
+[[inputs.mem]]
+
+[[inputs.disk]]
+  ignore_fs = ["tmpfs", "devtmpfs", "devfs", "overlay", "aufs", "squashfs"]
+
+[[inputs.net]]
+
+# NPU 自定义监控
+[[inputs.exec]]
+  commands = ["/opt/tianyan-edge/scripts/npu_info.sh"]
+  timeout = "5s"
+  data_format = "influx"