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Intelligent greenhouse irrigation control device based on fuzzy inference

A technology of fuzzy reasoning and control device, applied in greenhouse cultivation, adaptive control, electrical program control and other directions, can solve the problems of low work efficiency, high irrigation cost, low control precision, etc., to improve the use efficiency and service life, improve the Yield, the effect of improving response time

Inactive Publication Date: 2016-02-24
XONLINK INC
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Problems solved by technology

[0003] In order to overcome the disadvantages of low control precision, low work efficiency, poor applicability and high irrigation cost in the existing greenhouse irrigation control, the present invention provides a high control precision, high work efficiency, good applicability and Intelligent greenhouse irrigation control device based on fuzzy reasoning with low irrigation cost

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  • Intelligent greenhouse irrigation control device based on fuzzy inference
  • Intelligent greenhouse irrigation control device based on fuzzy inference
  • Intelligent greenhouse irrigation control device based on fuzzy inference

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to Figure 1 ~ Figure 3 , an intelligent greenhouse irrigation control device based on fuzzy reasoning, including:

[0039] Soil moisture detection module for detecting moisture content in soil;

[0040] An emission detection module for obtaining the emission amount of the greenhouse according to the average ambient temperature, relative air humidity and light intensity;

[0041] It is used to take soil moisture and evapotranspiration as input variables, greenhouse irrigation as output variables, fuzzify the input variables and output variables, select the triangular membership function, and establish fuzzy rules, and use the minimal algorithm to carry out fuzzy reasoning. An intelligent control module based on fuzzy inference that converts the inferred fuzzy quantity into an accurate quantity output;

[0042] An executive control module for outputting ...

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Abstract

The invention discloses an intelligent greenhouse irrigation control device based on fuzzy inference. The intelligent greenhouse irrigation control device comprises a soil humidity detection module, an evapotranspiration detection module, an intelligent control module based on fuzzy inference and an execution control module, wherein the soil humidity detection module is used for detecting moisture content in soil; the evapotranspiration detection module is used for acquiring greenhouse evapotranspiration according to average temperature of the environment, relative air humidity and illumination intensity; the intelligent control module is used for regarding soil humidity and evapotranspiration as input variables and irrigation quantity of a greenhouse as an output variable, fuzzifying the input variables and the output variable, selecting a triangular membership function, establishing a fuzzy rule, adopting a minimal operation method for fuzzy inference, and converting the inferred fuzzy quantity into accurate quantity for output; and the execution control module is used for outputting the accurate quantity as an irrigation quantity of the greenhouse to an irrigation execution mechanism. The intelligent greenhouse irrigation control device based on fuzzy inference provided by the invention is high in control precision, high in working efficiency, good in applicability and low in irrigation cost.

Description

technical field [0001] The invention relates to the field of greenhouse intelligent control, in particular to a greenhouse irrigation control device. Background technique [0002] In greenhouse irrigation systems, irrigation water management is a very complex task, because crop water requirements are not only affected by the period of crop growth and development, but also by various environmental conditions such as temperature, humidity, precipitation, and transpiration. A large number of irrigation test data show that the amount of crop irrigation is related to soil conditions (including soil texture, soil moisture content, structure and groundwater level, etc.), meteorological conditions (including solar radiation, sunshine, temperature, wind speed and humidity, etc.), and crops. It is related to biological characteristics (leaf surface index, water absorption capacity of crop roots, etc.), agricultural technology and irrigation and drainage measures. Among the numerous s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/04G05B13/02A01G9/24
CPCA01G9/247G05B13/0275G05B19/04Y02A40/10Y02A40/25
Inventor 乔北京曾杰吴斌宋海燕陈慧宇杜克林
Owner XONLINK INC
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