Design and Implementation of an Intelligent Environmental-Control System: Perception, Network, and Application with Fused Data Collected from Multiple Sensors in a Greenhouse at Jiangsu, China

文献类型： 外文期刊

第一作者： Liu, Jun

作者： Liu, Jun

作者机构：

期刊名称：INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS （ 影响因子：1.64； 五年影响因子：1.476 ）

ISSN： 1550-1477

年卷期： 2016 年 12 卷 7 期

页码：

收录情况： SCI

摘要： Big-data (BD) can contribute to the perceptive layer in the Internet of Things (IoT). BD for environmental factors at the tiny scale has to be obtained by simultaneously monitoring and fusing data collected from multiple sensors. In this study, we designed an intelligent environmental-monitor-control system for the precise culture of grape (Vitis vinifera "Wink") in greenhouse IoT. Sensors were equipped to obtain multiple types of data, which were then fused at the gateway and stored, analyzed, and modified in the background. Environmental factors included air temperature, air humidity, illumination, soil moisture, and CO2 concentration. Also, videos and images were recorded during the grape growth. The whole system was identified on an online platform with a static IP and a domain name. The fore-and backgrounds were communicated to each other by a real-time connection, and a database was activated whilst the website was open at the foreground. Results indicated that fused data can be successfully stored, transmitted, and treated for dotted graph creation and background management on a self-built online platform. Our study illustrated the availability of data fusion for BD and supplied a feasible instance for the implementation of this technique in IoT for the greenhouse environment.

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