Intelligent irrigation system in greenhouse

An intelligent irrigation and irrigation system technology, applied in greenhouse cultivation, forecasting, resources, etc., can solve the problems of poor applicability, poor forecasting accuracy, difficult calculation, etc. Effect

Active Publication Date: 2019-11-12
NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects and problems existing in the existing equipment, the present invention provides an intelligent irrigation system in the greenhouse, which effectively solves the problems of the existing irrigation monitoring system with complex structure, poor applicability, troublesome use, difficult calculation and poor prediction accuracy

Method used

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Experimental program
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Embodiment 1

[0026] Embodiment 1: This embodiment aims to provide an intelligent irrigation system in a greenhouse. Aiming at the regional limitations of the solar greenhouse water consumption estimation model, it is difficult to be widely used; the parameters are difficult to obtain, and the simulation accuracy is not high; the model structure and parameters are complex , some parameters are difficult to measure, and the equipment used is expensive and a series of problems. Through the observation of environmental factors in the greenhouse, such as radiation, temperature, humidity, water vapor pressure, wind speed, etc., and by analyzing the relationship between different environmental factors and transpiration ET, the two parameters of total radiation R and water vapor pressure difference VPD are finally determined. The first factor is the key factor affecting the change of transpiration ET, the total radiation R is the total solar radiation per unit time, and the unit is MJm -2 d -1 , ...

Embodiment 2

[0064] Embodiment 2: This embodiment further describes the technical solution of the present invention on the basis of Embodiment 1. The specific content is as follows: the described early warning irrigation system also includes artificially set irrigation, and someone can set the irrigation time and irrigation time manually. water volume.

[0065] Automatic irrigation means that when the system issues an irrigation warning, the user only needs to confirm it, and the system will automatically irrigate according to the amount of irrigation water calculated according to the irrigation basis, and send a text message to the user to inform after irrigation; artificially set irrigation, that is, the user can adjust according to agronomic needs or In special cases, set the amount of irrigation water by yourself. For example, before transplanting, the amount of irrigation water required is relatively large; during the fruit picking period, the amount of irrigation should be reduced to ...

Embodiment 3

[0066] Embodiment 3: This embodiment further illustrates the technical solution of the present invention on the basis of Embodiment 1, and the specific content is as follows: the described water demand estimation model uses total radiation R, average temperature T and average The relative humidity RH establishes water demand estimation models in multiple corresponding time periods, and uses the water demand estimation models in the multiple corresponding time periods to evaluate transpiration ET in the next corresponding multiple time periods.

[0067] The units of multiple time periods in this embodiment are quarters, such as spring, summer, autumn and winter; for example: using the spring water demand estimation model of the previous year to evaluate the spring water demand of the next year, the year is divided into In the four seasons, water demand estimation models were established respectively, and the transpiration ET of the corresponding quarter in the next year was eval...

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Abstract

The invention provides an intelligent irrigation system in a greenhouse. A water demand estimation model is established for total radiation R and water vapor pressure difference VPD in unit time and transpiration ET in unit time, and the transpiration ET is predicted by using the water demand estimation model, and the ET in unit time is accumulated to obtain total transpiration sum (ET). When sum(ET) is less than 20mm, the water demand estimation model uploads data to a controller, and the controller controls an environment monitoring module to continue monitoring; when sum (ET) is more thanor equal to 20mm, the water demand estimation model sends an alarm to an early-warning irrigation system through the controller, and notifies a user of the irrigation time and amount; according to thesystem, the problems of complex structure, poor applicability, troublesome use, difficult calculation and poor prediction accuracy of the existing irrigation monitoring system are effectively solved,the irrigation efficiency is improved, irrigation water is saved, the input of manpower and material resources are reduced, and the system can predict transpiration only by monitoring temperature, humidity and radiation, so that the system is simple to operate and convenient to use.

Description

Technical field: [0001] The invention belongs to the technical field of greenhouse crop planting, and in particular relates to an intelligent irrigation system in a greenhouse. Background technique: [0002] Due to the closed and semi-closed nature of the greenhouse, there is a large difference in the water demand of crops inside and outside the greenhouse. For example, Forgaz et al's research on the water demand of horticultural crops in the greenhouse shows that during the crop growing season, the water demand of indoor crops is 30% to 40% lower than that of outdoor crops. %, and the height of greenhouse crops often reaches 1.5-2.0m due to their support. This characteristic makes tall crops with support intercept more solar radiation than short crops without support, and their leaf area is larger The index LAI and the broad canopy structure can better absorb solar radiation, thereby improving the water and heat transfer of plants, so the water demand is relatively large. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01G9/24G06Q50/02G06Q10/04G06Q10/06
CPCA01G9/247G06Q50/02G06Q10/04G06Q10/067Y02A40/25
Inventor 龚雪文葛建坤李彦彬刘艳飞王梓宇程玉佳陈思展王慧敏张祥坤
Owner NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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