4.3 Article

DESIGNING AN INTELLIGENT GREENHOUSE MONITORING SYSTEM BASED ON THE INTERNET OF THINGS

期刊

APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
卷 17, 期 4, 页码 8449-8464

出版社

CORVINUS UNIV BUDAPEST
DOI: 10.15666/aeer/1704_84498464

关键词

cloud computing platforms; smart agriculture; fuzzy adaptive PID; Zig Bee; MATLAB software

资金

  1. Zhejiang Provincial Natural Science Foundation of China [LY15E080016]
  2. Beijing Key Lab of Heating, Gas Supply, Ventilating and Air Conditioning Engineering [NR2015K07]
  3. Ningbo Natural Science Foundation [2016A610113]

向作者/读者索取更多资源

With the development of the Internet, the development of the Internet of Things (IoT) has also been promoted. The IoT is a network of objects and objects connected. The IoT is based on cloud computing platforms and wireless networks. It acquires data based on sensor groups and conducts decision analysis to change the behavior control and feedback of objects, such as the greenhouse monitoring system studied in this paper. The IoT has subverted the traditional agricultural production model, from the agricultural farming model to the smart agriculture production-operation-sales model, which provides a direction for the sustainable development of agriculture in China at this stage. Based on the IoT and Zig Bee wireless sensor network technology, this paper designs a general scheme of an intelligent greenhouse control system based on IoT technology. The greenhouse control strategy was studied using IoT technology and fuzzy adaptive PID control algorithm. The experimental simulation was carried out with MATLAB software. The simulation results show that the optimal control of greenhouse temperature is achieved. The temperature in the greenhouse is always maintained at 16.5 degrees C -23.0 degrees C, and the humidity value is always maintained at 68.2% RH-89.3% RH. The test verified that the paper can achieve the expected effect for the greenhouse.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据