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Solar greenhouse volume curtain machine intelligent temperature control method and system with temperature prediction function

A technology of solar greenhouse and temperature control system, applied in the field of agricultural intelligence, can solve problems such as loss and quilt falling economy, and achieve the effects of ensuring yield, improving automation, and increasing lighting time.

Active Publication Date: 2017-11-07
NORTHWEST A & F UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Roller curtain quilts are rolled and unrolled by the roller shutter machine. During the production process, most farmers judge the time of opening and closing the shed based on experience, and manually control the operation of the roller shutter motor, which cannot be reasonably based on the crops in the greenhouse. The temperature and light range suitable for growth are controlled, and improper operation may easily cause the roller blind machine to over-roll, causing the quilt to fall from the roof and causing economic losses

Method used

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  • Solar greenhouse volume curtain machine intelligent temperature control method and system with temperature prediction function
  • Solar greenhouse volume curtain machine intelligent temperature control method and system with temperature prediction function
  • Solar greenhouse volume curtain machine intelligent temperature control method and system with temperature prediction function

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Embodiment Construction

[0033] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings and the implementation process.

[0034] Such as figure 1As shown, the present invention has an intelligent temperature control method for solar greenhouse roller shutters with temperature prediction function. Aiming at the characteristics of large lag in temperature control, the idea of ​​early prediction and early control is adopted. According to the temperature changes of the crops in the greenhouse, wavelet The timing analysis algorithm of neural network establishes the temperature prediction model. By arranging 9 monitoring nodes indoors to obtain indoor temperature data, and placing 1 monitoring node outdoors to obtain outdoor light intensity data. The experiment uses DS18B20 temperature sensor and QY-150B light intensity sensor to collect temperature and light information. The collected data is uploaded to the server website every 10 minutes a...

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Abstract

Provided are a solar greenhouse volume curtain machine intelligent temperature control method and system with the temperature prediction function. The method comprises the steps of according to the photosynthesis light demand situation of crops, importing indoor temperature to a time sequence analysis method wavelet neural network temperature prediction model as an input quantity to obtain a precise temperature prediction value; embedding the prediction model into a control platform of the volume curtain machine intelligent control system, comparing the prediction value with temperature thresholds within which the crops in a greenhouse grow well, conducting decision-making through the control platform with the man-machine interactive function and sending a corresponding control instruction to a control node, and achieving the control over the volume curtain machine through the control node. According to the solar greenhouse volume curtain machine intelligent temperature control method and system with the temperature prediction function, the illumination time when the indoor crops are on an appropriate temperature condition is prolonged on the premise that the economic benefit is ensured, a method in which a user manually control the volume curtain machine on the basis of experience is replaced, the photosynthesis time of the crops is prolonged and the yield is ensured, and meanwhile the degree of automation of volume curtain machine control is greatly improved; besides, overwinding accidents of the volume curtain machine are reduced.

Description

technical field [0001] The invention belongs to the technical field of agricultural intelligence, and relates to the advance control of greenhouse temperature, in particular to an intelligent temperature control method and system for a solar greenhouse roller shutter machine with a temperature prediction function. Background technique [0002] Greenhouses need thermal insulation equipment in winter to keep the indoor temperature in a range suitable for crop growth. Due to its production purpose and considering the economic input cost, the solar greenhouse can only realize the function of heat preservation and heat storage by covering the roof with roller blinds and quilts when the temperature is too low in winter nights. Roller curtain quilts are rolled and unrolled by the roller shutter machine. During the production process, most farmers judge the time of opening and closing the shed based on experience, and manually control the operation of the roller shutter motor, which...

Claims

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Application Information

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IPC IPC(8): A01G9/22
CPCA01G9/227Y02A40/25
Inventor 张海辉范奥华裴雪刘焕宇王孝龙张彦钦王东杨有刚
Owner NORTHWEST A & F UNIV
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