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gizwits-iot-course's Introduction

菜鸟也能也学会基于物联网开发智能家居

本教程案例是基于机智云物联网平台开发的智能家居案例

开发环境

  • 1.macbook/windows/linux
  • 2.jdk8/idea
  • 3.gokit开发板套件
  • 4.微信订阅号
  • 5.反向代理工具

使用的相关技术

  • 1.netty/nio
  • 2.spring-boot
  • 3.webscoket
  • 4.docker
  • 5.语音识别

docker部署

docker-compose.yml


log:
  container_name: log
  image: daocloud.io/gizwits2015/log-collection
  working_dir: /data
  volumes:
    - ./log:/data
  ports:
    - "8080:8080"
  environment:
    SECURITY_USER_NAME: "admin"
    SECURITY_USER_PASSWORD: "123456"
    LOGMONITOR_LOGPATH: "/data/log-collection.log"
    APP_PRODUCT_KEY: "xx"
    APP_DID: "xx"
    APP_MAC: "xx"
    APP_AUTH_ID: "xx"
    APP_AUTH_SECRET: "xx"
    APP_SUBKEY: "client"
    APP_PREFETCH_COUNT: 50
    WECHAT_MP_APPID: "xx"
    WECHAT_MP_SECRET: "xx"
    WECHAT_MP_TOKEN: "weixin"
    WECHAT_MP_AESKEY: "xx"
    SEMANTIC_API: "xx"

日志监控及采集

http://localhost:8080/logMonitor

image

设备控制API

http://localhost:8080/swagger-ui.html

curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{ \ 
   "mac": "xx", \ 
   "did": "xx", \ 
   "cmd": { \ 
     "LED_OnOff": false, \ 
     "LED_Color": "紫色", \ 
     "Motor_Speed": 0 \ 
   } \ 
 }' 'http://localhost:8080/dev/control'

部分语音和文本控制设备

image

image

视频演示

视频演示

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