Design Of Remote Monitoring System Of Aquaculture Based On Data Fusion And Web

With adjustment of the structure of aquaculture, the scale of industrial aquaculture is expanding constantly which increases the impact of aquaculture water quality on aquatic products and economic benefits. As an essential factor of the modern aquaculture to achieve automation and intelligence, the remote monitor system is developing rapidly. But for now, most of the monitoring system is still stuck in a simple water quality monitoring without predicting and early warning. The equipment of human computer interaction is unitary. The Man-machine interface is simple, which present original data so that information application value is not high. Real time of data transmission in the system is poor. Therefore, applying the data fusion to aquaculture monitoring filed and developping multi task and multi terminal based on Web has been very necessary.A remote monitoring system of aquaculture based on the data fusion and Web was presented. This paper presents one remote monitoring system of. The system realized the function of remote collection, storage and management of water quality parameters such as water temperature, dissolved oxygen, pH, water level, and the remote control of oxygen pump, regulating valve was also realized. Hardware modules mainly contain information collection module, aquatic environment control module, wireless communication module, PC computers and mobile phones. While water quality parameters are transferred to the remote monitoring center, two-layer fusion model is designed by the related technology to handle water quality parameters transferred from bottom system which consists of homogeneous sensor data fusion and heterogeneous sensor data fusion. For example, founding the mathematical model to predict the value of dissolved oxygen, and taking error simulation by Matlab to validate the fusion model is reliable. Systematic software platform adopted integrative structure mode based on B/S and C/S models. The software for monitoring in remote monitoring center is as a server. Then, take browser platform as client of B/S models and Android as client of C/S models. All these designs of man-machine interface can meet monitoring and control anywhere and anytime. Page refresh technology and plug-in design of the browser platform are mainly introduced to improve the real-time performance of system, to enhance the scalability of platform, and to ensure the efficiency and safety of aquatic production.Through the performance test, the results demonstrate that the system data accuracy is high, the network packet loss rate is low, success rate of control module is 97%, and accuracy rate of early warning module is 94.7%. Users can monitor the state of the fishpond with terminals wherever network coverage. Man-machine interface is friendly and easy to operate. Therefore, the system can adapt to the requirement of aquaculture.