Greenhouse Monitoring System Design And Data Fusion Algorithm Research Based On Wireless Sensor Network

With the rapid development of sensor technology, communication technology and computer technology, wireless sensor networks and multi-sensor data fusion has become a hotspot of scientific research, and is widely used in agriculture and other fields. A variety of environmental factors affect the growth of crops in the process of agricultural production in the greenhouse, in order to achieve efficient production, people began to attach importance to design of the greenhouse environment monitoring system. According to the needs of greenhouse production, this paper designed the greenhouse monitoring system based on wireless sensor network, and did the research of data fusion algorithm in accordance with the characteristics of the collected data. The main research content is as follows:1) Aiming at solving these problems existing in our country here put forward greenhouse wireless sensor network monitoring system design, and built the overall architecture of the system. Starting from the need of the node design, the ZIGBEE technology was applied to data transmission of sensor nodes, on the basis of analysis and comparison on several popular short-range wireless communications technology. With the need of the greenhouse scene, the3G network was used to complete the data transfer from the sink node to the server. Monitoring video is transmitted by the way of wire transmission or3G network.2) In order to realize the sharing of agricultural resource and remote monitoring of greenhouse, paper developed a network of greenhouse remote integrated service based on the B/S structure. This network used the struts architecture and SQL sever database, used JSTL to complete table show of historical data, used FLOT to achieve graph display, through embedded ActiveX controls in the page to achieve a real-time video surveillance and adjusting the orientation of the camera as well as screenshots.3) Paper analyzed the principle of data fusion and several typical data fusion algorithm, illustrated the necessity of data fusion processing. With the problems existing in the system and the actual need, improved kalman filtering algorithm was applied to the data processing. By calling the algorithm from a web page to complete the data fusion and the results were saved to the database.4) Paper tested the system and showed the specific operation of the system. Realized online query environment parameters in greenhouse, charts show, real-time video monitoring, and adjusting camera remotely by accessing to the browser.