Greenhouse automatic control method and system based on complex event processing

Abstract

The embodiment of the present invention provides a greenhouse automatic control method and system based on complex event processing, which acquires the environmental information of the greenhouse, and determines the atomic event based on the environmental information; inputs the atomic event to the complex event processing engine to determine the complex event Processing the control information output by the engine; based on the control information, controlling the greenhouse controller in the greenhouse. The introduction of a complex event processing engine solves the problem of a large number of greenhouse data, strong coupling between controls, low cohesion, and difficulty in forming a common complex event aggregation structure, so that the control information output by the complex event processing engine can affect the control of the greenhouse in the greenhouse. The device is controlled, the control precision is higher, and the effect is more effective. Moreover, using timed automata and the complex event processing engine of the RAPIDE language, analyzing the relationship between events in the greenhouse through the greenhouse information transfer model, and combining the types and characteristics of the greenhouse data, it can be applied to most agricultural control scenarios.

Description

technical field [0001] The present invention relates to the technical field of automatic control, and more particularly, relates to a greenhouse automatic control method and system based on complex event processing. Background technique [0002] At present, in order to realize the cultivation or seedling cultivation of temperature-loving vegetables, flowers, forest trees and other plants in low-temperature seasons in seasons that are not suitable for plant growth, greenhouses are indispensable facilities. To reduce the workload of the staff, automatic control of the greenhouse is essential. [0003] The existing greenhouse automatic control methods usually include: threshold control, decoupling control, control through neural network and control through expert system. Among them, the threshold control directly acts on the control by setting the trigger threshold, which is simple and easy to use, but does not consider the coupling, hysteresis and inertia of the greenhouse, a...

AI Technical Summary

Problems solved by technology

However, due to its large structure, precise logic, and high system complexity, it is difficult to exert its control advantages in greenhouses.

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