Research Article
Research on Coordination Control Theory of Greenhouse Cluster Based on Cloud Computing
@INPROCEEDINGS{10.1007/978-3-030-48513-9_19, author={Xiangnan Zhang and Wenwen Gong and Yifei Chen and Dan Li and Yawei Wang}, title={Research on Coordination Control Theory of Greenhouse Cluster Based on Cloud Computing}, proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019}, proceedings_a={CLOUDCOMP}, year={2020}, month={6}, keywords={Cloud computing Greenhouse cluster Coordinated control}, doi={10.1007/978-3-030-48513-9_19} }- Xiangnan Zhang
Wenwen Gong
Yifei Chen
Dan Li
Yawei Wang
Year: 2020
Research on Coordination Control Theory of Greenhouse Cluster Based on Cloud Computing
CLOUDCOMP
Springer
DOI: 10.1007/978-3-030-48513-9_19
Abstract
With the development of modern agriculture, the clustering phenomenon of greenhouses is prominent. The traditional single greenhouse management is oriented to farmers. It is difficult for upper management to obtain the information of greenhouses conveniently. The real-time transmission of monitoring results and the real-time regulation of the internal environment of greenhouse clusters are difficult. And the scope of management of large-scale agricultural companies is also growing, and an integrated management platform is urgently needed. The emergence of cloud computing technology has made this management model possible. On the other hand, the greenhouse cluster is a non-linear complex large system, which not only needs to improve the capacity of the greenhouse cluster, but also take into account the utilization of regional resources. The traditional control methods are insufficient in the efficient use of regional resources, and the existing control theory can’t meet the above requirements. Target requirements. The computing power of local equipment can’t meet the needs of massive data processing. Therefore, based on the cloud computing platform, this paper draws on the theory of complex systems to carry out coordinated control theory research on greenhouse clusters, establishes a cloud computing-based greenhouse cluster management system, and designs greenhouse clusters. The control system description model is coordinated; on this basis, the greenhouse cluster coordination control structure model is designed. This study provides a reference for the control of modern greenhouse clusters, and has certain theoretical significance and application value for the development of greenhouse cluster coordinated control theory.
