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Complex Event Processing Methods for Greenhouse Control

Author

Listed:
  • Yunsong Jia

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

  • Xiang Li

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

Abstract

In the greenhouse environment, the application of complex event processing (CEP) technology can effectively tackle the problem of recognition of the complex patterns that appeared in greenhouse conditions. In the existing research, few scholars have proposed a scheme to integrate complicated scenes within the greenhouse environment with high efficiency, convenience, and low coupling. Therefore, in order to solve the problem of hard recognition and fusion of complex patterns in the greenhouse environment, based on the characteristics of the greenhouse, this paper proposes a complex event processing method for greenhouse control. Our method has high applicability and high expansibility, including 13 types of event processing agents and 21 types of typical events involved in greenhouse automatic control. This method has the advantages of low information coupling and multi-domain integration, which can be directly used by agricultural experts and related workers and is of great significance to promote the extensive application of CEP technology in the greenhouse field. Our experiment successfully realized a greenhouse intelligent control system based on CEP technology is successfully realized in our experiment. The experimental statistics shows that the structure of the control system was accessible and effective.

Suggested Citation

  • Yunsong Jia & Xiang Li, 2021. "Complex Event Processing Methods for Greenhouse Control," Agriculture, MDPI, vol. 11(9), pages 1-24, August.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:9:p:811-:d:622916
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    References listed on IDEAS

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    1. Oliveira, Renata Lúcia Magalhães de & Santos, Igor Vieira & Graciano, Guilherme Fonseca & Cunha Libânio, André Augusto & Kelli de Oliveira, Leise & Bracarense, Lílian dos Santos Fontes Pereira, 2021. "A sustainable approach for urban farming based on city logistics concepts for local production and consumption of vegetables," Research in Transportation Economics, Elsevier, vol. 87(C).
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    Cited by:

    1. Chia-Nan Wang & Tran Quynh Le & Ching-Hua Yu & Hsiao-Chi Ling & Thanh-Tuan Dang, 2022. "Strategic Environmental Assessment of Land Transportation: An Application of DEA with Undesirable Output Approach," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    2. Qi, Di & Zhang, Kunlun & Zhao, Chuangyao & Li, Ang & Song, Bingye & Li, Angui, 2024. "Optimized model predictive control for solar assisted earth air heat exchanger system in greenhouse," Renewable Energy, Elsevier, vol. 228(C).
    3. Juhlin, Rasmus & Assadi, Mohsen, 2023. "Investigations of the thermodynamic efficiency limits of a novel subsea energy storage concept," Applied Energy, Elsevier, vol. 330(PA).
    4. Liu, Yu & Liu, Congxiao & Ling, Qicheng & Zhao, Xin & Gao, Shan & Huang, Xueliang, 2021. "Toward smart distributed renewable generation via multi-uncertainty featured non-intrusive interactive energy monitoring," Applied Energy, Elsevier, vol. 303(C).

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