文件名称:APICloud_raspiberry

  • 所属分类:
  • 远程控制编程
  • 资源属性:
  • [Linux] [SHELL] [源码]
  • 上传时间:
  • 2016-06-03
  • 文件大小:
  • 53kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • che***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

APICLoud云控制系统是一个基于APICloud云平台的远程控制和监控系统,主要功能是通过移动终端轻易的查看远程实时视频图像,获取各种传感器状态,发送控制设备命令等。该系统的底层设计以每一个树莓派作为一个监控单元,完成了对各类传感器、视频、图像等数据的采集,通过GPIO引脚控制电机、继电器等外接硬件设备,中间层以APICloud云平台作为数据服务端,为底层和终端提供数据服务。该系统的主要特点是“云端一体”,基于APICloud提供的“云API”和“端API”,开发者甚至可以忘记繁杂的服务端编码,也可以忘记复杂的Object-C和Java,更可以忘记那数不清的屏幕适配,帮助开发者快速实现移动应用的开发、测试、发布、管理和运营的全生命周期管理,而且还摆脱了局域网小范围控制的局限,整个系统通过APICloud云轻易的接入互联网,并且该系统支持多个监控设备同时查看,新增传感器类型、开关设备,同时通过集群卡片大小的树莓派能够快速轻易的搭建成监控网络,并且可以根据现场环境位置灵活调整监控区域,整个系统实用性很强,适合高校实验室安全管理、农业大棚管理、智能家居等多个领域的管理需要,基于树莓派的强大功能,该系统未来会有更多的功能可以实现和拓展,使其应用范围更加广泛。-APICLoud cloud is a control system based on remote control and monitoring system of APICloud cloud platform, the main function is through the mobile terminal to view remote real-time video image, to obtain the status of various sensors, send control commands. The equipment design of the system to a raspberry pie as a monitoring unit, the video of all kinds of sensors, image data acquisition, motor control via the GPIO pin, relays and other external hardware devices, the middle layer is based on the APICloud cloud platform as a data server to provide data service for the bottom layer and the terminal. The main feature of the system is one cloud , cloud APICloud API and API based on, developers can even forget the server encoding complex, can forget the complexity of Object-C and Java, can forget the countless screen adaptation, to help developers quickly. The mobile application development, testing, release, life cycle management and operation, but also to get rid of the limitation
(系统自动生成,下载前可以参看下载内容)

下载文件列表





python-sdk

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..........\....\.....\post-update.sample

..........\....\.....\pre-applypatch.sample

..........\....\.....\pre-commit.sample

..........\....\.....\pre-rebase.sample

..........\....\.....\prepare-commit-msg.sample

..........\....\.....\update.sample

..........\....\index

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..........\....\....\tags

..........\.gitignore

..........\1_start.sh

..........\2_record.sh

..........\3_stop.sh

..........\api.py

..........\api.pyc

..........\dataCloud.py

..........\getip.py

..........\getip.pyc

..........\img.sh

..........\monitor.py

..........\monitor.pyc

..........\run.py

..........\sensors.py

..........\sensors.pyc

..........\srcimg

..........\srcmp4

..........\switch.py

..........\switch.pyc

..........\temperature.py

..........\temperature.pyc

..........\testDataCloud.py

..........\video.sh

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