Greenhouse Climate Control based on Time Series Analysis

被引：2

作者：

Chou, Cheng-Kai ^{[1
]}

Lo, Chun-Chih ^{[2
]}

Huang, Shih-Hao ^{[1
]}

Horng, Mong-Fong ^{[2
]}

Kuo, Yau-Hwang ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Ctr Res E Life Digital Technol CREDIT, Tainan, Taiwan

[2] Natl Kaohsiung Univ Sci & Technol, Dept Elect Engn, Ctr Res E Life Digital Technol CREDIT, Kaohsiung, Taiwan

来源：

2018 IEEE WORLD CONGRESS ON SERVICES (IEEE SERVICES 2018) | 2018年

关键词：

Time Series; Greenhouse; Climate Control;

D O I：

10.1109/SERVICES.2018.00044

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Climate control is vitally important to the operation of greenhouses. However, many conventional methods for controlling greenhouse climate are not efficient enough since they are either based on an on-off control method or a proportional control method. To maintain a steady climate, an intelligent switching control strategy for greenhouse climate control system was designed using time series to analyze historical data from greenhouse climate control system and predict target attribute's value to regulate climatic conditions such as suppress or raise the environmental factor based on prediction results. The simulated results showed that the greenhouse climate can be stabilized and maintained within the ideal range by the proposed control strategy.

引用

页码：61 / 62

页数：2

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