Method and system of intelligent light-environment controlling based on multi-factor coupling

Abstract

The invention relates to a method of intelligent light-environment controlling based on multi-factor coupling. The method includes setting illumination cumulative time according to illumination demand characteristics of plants in the current environment, monitoring real-time red-blue light PFD (photon flux density) value and real-time temperature value in the environment during the illumination cumulative time, matching optimum environment light intensity with the temperature, calculating differences between monitoring values of the red-blue light and target values according to red-blue light saturation point of current plants on different temperature conditions, performing supplementary lighting as demanded, adjusting temperature to be in a threshold range of photosynthesis effective temperature when the monitoring value excesses. The invention further provides a system for implementing the method of intelligent light environment controlling. A multi-factor coupling based intelligent light-environment controlling algorithm is called, so that precise controlling on temperature and sub-band light intensity of the environment is completed; light adjustment can be effectively controlled through a PWM (pulse-width modulation) controlling signal based on minimum energy consumption; and the optimized controlling on the temperature and the sub-band light intensity of the plant growing environment is realized.

Description

technical field [0001] The invention belongs to the technical field of precision agriculture, and in particular relates to a method and system for intelligent regulation and control of light environment based on multi-factor coupling. Background technique [0002] At present, the area of ​​protected horticulture in my country exceeds 2.5 million hectares, ranking first in the world. However, due to the influence of factors such as covering materials, dust and structural shading on agricultural facilities such as greenhouses, the lack of light in facility crops is common, and insufficient light has become a limitation to its development. Key factor. Taking the Guanzhong area as an example, the natural light in winter is 1701-3780 lux and the light hours are only 6-7 hours. Most vegetables need 12-14 hours to reach the best yield state, so the overall yield and quality are not high. Therefore, the research and regulation of the light environment has become a hot research topic...

AI Technical Summary

Problems solved by technology

However, the control methods of most supplementary light systems lack precision, relying on a single light intensity monitoring value to realize the control of supplementary light quantity, without considering the influence of light quality on the growth of greenhouse crops

Even though some supplementary light systems take into account the influence of light quality on crop growth and adopt specific band detection and sub-band supplementary light methods, they do not take into account the relationship between multiple factors such as temperature and light time in the crop growth environment. Insufficient light supplementation or excess light supplementation will affect crop growth and light energy utilization efficiency

It can be seen that there are many problems in the control of the light environment in the existing supplementary light system, which does not consider the correlation between light and temperature in the environment and the impact on the light environment of crops, which greatly affects the real-time and accurate control of the light environment of the facility. sex

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