Title :
A New Fusion Structure Model on Greenhouse Environment Data and a New Fusion Algorithm of Sunlight
Author :
Xiao-Hui Wang ; Li-Hong Xu ; Rui-Hua Wei
Author_Institution :
Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
Abstract :
In order to meet the requirements of data fusion for greenhouse monitoring system based on wireless sensor network. A kind of multi-sensor data fusion structure model about spatial and temporal fusion is proposed. According to the greenhouse environment parameters such as temperature, humidity, CO2 change slowly, while the parameter of sunlight changes rapidly, this paper proposes that it respectively uses temporal fusion model and dual prediction strategy fusion to fuse these two kinds of parameters to reduce the communication effort in WSN. The sensor nodes are vulnerable to be obscured by the greenhouse structure or crop. It has large impact on sunlight but little impact on other environment parameters. So this paper proposes a new spatial fusion algorithm based on gray incidence analysis to fuse sunlight, and it use power average operator based on support function to fuse other parameters. Algorithms were tested in the greenhouse of Tongji University Jiading Campus. Experimental results obtained demonstrate the efficiency and versatility of the proposed temporal fusion framework in improving the communication savings, the new spatial fusion of sunlight provides an effective way to avoid the fusion effect being affected by obscured nodes´ data to acquire more accurate greenhouse sunlight intensity.
Keywords :
crops; environmental factors; greenhouses; sensor fusion; wireless sensor networks; Tongji University Jiading campus; communication savings; crop; dual prediction strategy fusion; gray incidence analysis; greenhouse environment data; greenhouse environment parameter; greenhouse monitoring system; greenhouse structure; greenhouse sunlight intensity; multisensor data fusion structure model; power average operator; sensor node; spatial fusion algorithm; temporal fusion framework; temporal fusion model; wireless sensor network; Air pollution; Data integration; Data models; Fuses; Green products; Temperature sensors; Wireless sensor networks; dual prediction scheme; fusion structure model; gray incidence analysis; greenhouse; support function; wireless sensor network;
Conference_Titel :
Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
Print_ISBN :
978-1-4799-7090-2
DOI :
10.1109/WCSN.2014.91