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基于云存储及Android的水产苗种培育水质监控系统设计

  

  1. （1浙江大学城市学院信电学院，浙江 杭州 310015；
    2浙江工商大学杭州商学院理工分院，浙江 桐庐 311500）
  • 出版日期:2018-02-20 发布日期:2018-08-02
  • 通讯作者: 张伟（1983—），男，讲师，硕士，研究方向：嵌入式系统设计、无线通信技术等。E-mail:zw@mail.zjgsu.edu.cn
  • 作者简介:刘艳（1981—），女，讲师，博士，研究方向：智慧水产、机器视觉等。E-mail: liuy@zucc.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(61673348)；浙江省自然科学基金青年基金(LQ18F030009)；浙江省杭州市农业科研项目(20160432B26)；教师基金项目(JYB17017)

Design of water quality monitoring and control system for aquaculture seedling cultivation based on cloud storage and Android

  1. (1 School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou, zhejiang 310015, China;
    2 School of Science and Technology, Zhejiang Gongshang University Hangzhou College of Commerce, Tonglu, zhejiang 311599, China)
  • Online:2018-02-20 Published:2018-08-02

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摘要： 针对水产苗种培育过程中人工观测水体环境存在不精确和不及时的问题，设计开发了基于物联网云存储及Android平台的水产苗种培育水质参数远程无线监控系统。前端传感器用于检测培育水质的各物理参数，通过WIFI无线网络将所获得的数据发送至物联网云存储平台，然后手机客户端APP读取云存储平台上的数据并显示供用户浏览查看，手机APP可对异常数据进行报警提示。用户可以通过手机客户端APP实现现场设备的手动远程控制；对超出阈值的参数，系统能够对现场相应设备进行自动控制。该系统中机智云的引入降低了物联网硬件的开发难度及成本，APP界面简洁、操作简单、成本低廉，还预留可扩展接口，为用户提供形象直观的实时数据监测平台。对该系统进行了水温、pH、溶氧和氨氮的采集和传输测试、也对现场设备进行了远程控制测试。测试结果显示该系统可以实现水产苗种培育水质参数监控要求。

关键词: 水产苗种培育, 水质参数监控, Android平台, 云存储, WIFI模块

Abstract:  In order to solve the inaccuracy and untimeliness of artificial observation of aquatic environment in the process of aquaculture seedling cultivation, a kind of remote wireless monitoring and control system for water quality parameters of aquaculture seedling cultivation was developed based on the Internet of Things storage and android platform. The front-end sensors are used to detect the physical parameters of the water quality for aquaculture seedling cultivation, where the obtained data is sent to the cloud storage platform of the Internet of Things through the WIFI wireless network. Then the mobile client APP reads the data on the cloud storage platform and displays the data for users to browse and view. The mobile APP can also send alerts to users if abnormal parameter data occurs. Users can execute manually remote control of field devices through the mobile client APP, and the system can automatically control the corresponding devices on the site when the parameters reach beyond the threshold. The introduction of the Gizwits reduces the difficulty in the development of the hardware of the Internet of Things. The system is simple in interface and operation, low in cost, and also has reserve extensible interfaces, which provides a visual and real-time data monitoring platform for users. The system has been tested for the collection and transmission of temperature, pH, dissolved oxygen and ammonia nitrogen, and the field equipment has been tested for remote control. The test results show that the system can be used to monitor the water quality parameters of aquaculture seedling cultivation.

Key words: Aquaculture seedling cultivation, water quality parameters monitoring, Android platform, cloud storage, WIFI module