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Greenhouse intelligent regulation and control method based on agricultural solar term experience data

A kind of empirical data and greenhouse technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of not being able to provide a good solution, large inertia, and large lag of the greenhouse control system

Inactive Publication Date: 2019-09-17
CHINA AGRI UNIV
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AI Technical Summary

Problems solved by technology

In the process of solving greenhouse control problems, a single control strategy has its own advantages, but it cannot provide a good solution to the problems of large lag, large inertia and nonlinearity in the greenhouse control system.

Method used

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  • Greenhouse intelligent regulation and control method based on agricultural solar term experience data
  • Greenhouse intelligent regulation and control method based on agricultural solar term experience data
  • Greenhouse intelligent regulation and control method based on agricultural solar term experience data

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Embodiment Construction

[0075] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples are only used to explain the present invention, but not to limit the scope of the present invention.

[0076] attached figure 1 It is a schematic diagram of the structure of the expert knowledge base based on agricultural solar terms experience data. According to the law of solar terms in the lunar calendar, the "Festival" in the first half of the year is around the 6th of each month in the solar calendar, the "Qi" is around the 20th, the "Festival" in the second half of the month is around the 8th of each month, and the "Qi" is around the 23rd. There are about 15 days between each solar term.

[0077] Starting from the beginning of summer, the air temperature has risen significantly, and the roller shutter machine will no longer be used in non-extreme weather, and will play a role in warming the greenhouse; when the frost falls, the ai...

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Abstract

The invention belongs to the technical field of greenhouse intelligent regulation and control, and relates to a greenhouse intelligent regulation and control method based on agricultural solar term experience data. According to the method, by importing the agricultural solar term experience data and using a fuzzy neural network strategy as the basis, a fuzzy neural network controller in which a greenhouse environmental factor is coupled with a greenhouse regulation and control mode is constructed, the control precision of the fuzzy neural network controller is improved on the basis by using a neural network online backpropagation learning algorithm, auxiliary optimization is performed on a topological structure, a connecting weight, a membership function parameter or a fuzzy inference rule of the fuzzy neural network controller by using a genetic optimization algorithm, so that a genetically optimized fuzzy neural network controller is formed. According to the greenhouse intelligent regulation and control method provided by the invention, the fuzzy neural network controller is constructed based on the agricultural solar term experience data, a new idea is provided for the greenhouse regulation and control method, the guiding role of the agricultural solar term experience data on agricultural production is fully exerted, and meanwhile, the agricultural production cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of greenhouse intelligent control, and relates to a greenhouse intelligent control method based on agricultural solar term experience data. Background technique [0002] As the main production method of my country's facility agriculture, greenhouse planting has made great contributions to solving the cross-regional supply of fruits and vegetables out of season and improving the living standards of urban and rural residents. However, the traditional method of controlling greenhouse equipment still mainly relies on manual operation, which is not only time-consuming and labor-intensive, but also sometimes unable to ensure safety. In addition, due to the lack of agronomic personnel today, most of the personnel engaged in greenhouse production do not have professional knowledge background, which makes the environmental regulation in the greenhouse difficult. Stable, difficult to achieve scientific management. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 郑永军彭要奇李鑫星曹兴伟张通徐雨舟
Owner CHINA AGRI UNIV
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