Design Of Aquaculture Monitoring System Based On Internet Of Things

Aquaculture industry has a long history in China. At present, aquaculture market has a good market prospect. But the aquaculture industry is a relaxed management system and has a bad mode of water environment monitoring. In order to develop the efficiency of breeding, high-intensity farming and all-round management is the characteristics of the aquaculture industry. The water environment monitoring is the key of improving the aquaculture industry efficiency. How to create a stable and suitable environment for the growth becomes an important issue. In this paper,an aquaculture monitoring system based on the technology of Internet of Things is designed. The efficiency of aquaculture production is improved due to real-time monitoring and automatic control.A monitoring system based on the Internet of Things is designed. The technologies of Zig Bee, GPRS, PHP and Android are applied in this system. The parameters of the aquatic environment can be displayed and controlled by local display, web and Android client. The system includes wireless monitoring and controlling layer, server and database layer and monitoring platform and Android client. Wireless monitoring, controlling nodes and sink nodes are designed in wireless monitoring and controlling layer. The parameters of the aquatic environment are transmitted to the sink nodes through wireless monitoring and controlling nodes. At sink nodes, the monitoring data can be displayed on LCD and correspondent with the server through GPRS modules. The monitoring platform is connected to the server to realize the function of monitoring and controlling through web browser. The Android client and server are connected to data communication to realize the function of remote real-time monitoring and controlling on Android phones.Compared with the traditional method, the parameters of the aquaculture ponds could be easily checked and controlled in this system. The data could be collected and analyzed with the function of historical data inquiry. A feasible living condition was created. A higher rate of replication and growth could be realized. The system has the advantage of high expansibility. The scale of wireless network can be extended. More monitoring and controlling nodes can be connected to the system.