摘要： 针对近江牡蛎养殖中自动化程度低、成本高等问题，提出一种基于云空间设计近江牡蛎养殖监控系统。以STM32F103为底层控制核心，通过YS8166B、SIN-D0530和超声波模块实时采集海水的pH、溶氧(DO)、温度和深度，并通过nRF24L01以无线方式发送到上位机。上位机采用C#多线程通信程序与云空间进行交互。系统采用ASP动态技术云空间，通过轻量级数据交换格式JSON与上位机、用户进行快速通信，利用AJAX实现无刷新显示。用户通过智能手机可以随时随地访问云空间，掌握养殖现场的实时信息，并结合云空间嵌入的本地天气信息，对浮排电机、增氧机、投饲机进行远程控制。试验表明，系统具有成本低廉、稳定可靠、响应快速等优点。基于云空间的监控系统为近江牡蛎养殖智能化提供了一种新方法。

关键词: 云空间, 近江牡蛎, 监控系统, STM32F103, 溶氧

Abstract:  In order to resolve the problems of low degree of automation, high costs,etc. in Ostrea rivularis Gould farming, a monitoring system based on cloud space for Ostrea rivularis Gould farming is brought up. The system adopts STM32F103 as the core of bottom control, collects real-time data of the seawater’s pH, dissolved oxygen, temperature and depth through YS8166B, SIN-D0530 and ultrasonic modules, which will be wirelessly sent to the upper computer via nRF24L01. The upper computer adopts C# multi-thread communication program to interact with cloud space. The system adopts cloud space based on the ASP dynamic technology and the lightweight data interchange format JSON to fastly communicate with the upper computer and users, and provides no refresh display by utilizing AJAX. This allows users access to cloud space anytime and anywhere via intelligent mobile phones, and obtain real-time information at the farming site. Meanwhile, according to the local weather information embedded in cloud space, users can control floating row motors, oxygen generators and dispensers remotely. Tests showed that the system has the advantages of low costs, stability and reliability, fast response and so on. This monitoring system based on cloud space provides a new method for the intellectualization of Ostrea rivularis Gould farming.

Key words: Cloud Space, Ostrea rivularis Gould, Monitoring System, STM32F103, Dissolved Oxygen