To meet the requirement for multi-parameter water quality monitoring and solve the problems in the existing water quality environmental monitoring system, an aquaculture monitoring and control system based on Internet of things and GIS is designed. Based on the research and analysis of overall performance, a three-layer ( sensing control layer, transport layer and application layer) frame of the monitoring and control platform was first designed, presenting a top-down, stepwise refinement modular and structured design method. According to the requirement for the reliability and stability of data transmission, the configuration method of WiFi mesh network was put forward, and the power-supply module of the system hardware was designed. The software systems of the local server, center server, and control module were studied, and the reliability of the system of data transmission was verified through network packet loss rate test and water dissolved oxygen ( DO) analysis. The system could automatically control the aerators when DO in water is beyond the desirable level, and effectively regulate the amount of DO in pond. Compared to the traditional remote monitoring systems, this system, through the integration of networking and GIS technology, realizes the wireless remote monitoring and regional aquaculture water quality management, and will greatly promote aquaculture intelligentization and atomization as well as better meet the needs of aquaculture development.%针对水产养殖水质多参数监测的需求和现有水质环境监测系统存在的问题，设计了一种基于物联网和地理信息系统（ GIS）的水产养殖测控系统。通过整体性能的研究分析，设计了测控系统平台的3层体系架构（传感控制层、传输层和应用层），提出了自顶向下、逐步求精以及模块化、结构化的设计方法；根据采集数据传输的可靠性、稳定性等要求，提出WiFi网状组网的配置方法，设计了系统硬件的供电模块；研究了本地服务器、中心服务器和控制模块软件系统；通过网络丢包率测试和水质溶氧量分析，验证了系统数据传输的可靠性，并在溶氧超出范围后自动控制增氧机，有效地调节池塘溶氧量。相比于传统的水产养殖远程监控系统，该系统通过物联网和 GIS 技术的融合，实现了水质环境的远程无线测控和区域化水产养殖管理，因此能够大大推进水产养殖智能化、自动化系统建设的发展，适应水产养殖的需要。
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