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.
Highlights
With the development of smart agriculture, a new generation of sensor technology has been further integrated with agricultural production [1]
This paper designs a greenhouse automatic control method and system based on complex event processing and provides a general greenhouse-oriented CEP system implementation plan for agricultural experts and related workers
This structure of our system has the advantages of high efficiency, convenience, and low coupling, which can solve the problem of identification and integration of complex patterns in the greenhouse
Summary
Indicates the relative relationship between environmental factors and history and prediction. Examples The temperature status is normal/high/low The temperature increases Temperature factors (indoor height/outdoor height) Temperature demand (rise/fall/none) Air conditioning operation (invalid/valid) At this point, the fan temperature rises by 2 degrees. The information generated by the system tells the worker that the controller connection is down. The information generated by the system to inform workers of plant growth status.
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