Embedded facility light environment optimization regulation system combining illumination frequency and duty ratio

Abstract

The invention relates to an embedded plant light environment regulation system combining an illumination frequency and a duty ratio. The system is based on plant physiology characteristics, and obtains the growth state of the plants in real time through a camera, thereby calling the optimal regulation model of the growth stage corresponding to the growth state according to the current state of theplants, and adjusting the illumination frequency to performing supplemental lighting on the plants to achieve the purpose of further improving supplemental lighting efficiency. Firstly obtaining a large amount of experimental data, and writing a support vector machine (SVM) algorithm by using a matlab language after normalization processing to construct a prediction model of the photosynthesis rate of the plants in different environments. Then writing a genetic algorithm by using the matlab language according to the obtained prediction model to construct a supplemental lighting target value optimization model and obtain the light environment target value corresponding to the curvature maximum value of each data. And finally, writing a random forest algorithm by using a python language toconstruct a facility light environment optimization regulation model capable of being portable to an embedded device. According to the embedded facility light environment optimization regulation system combining the illumination frequency and the duty ratio, the plant photosynthesis efficiency can be effectively improved, so that the economic benefit of the facility agriculture is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent agriculture, and relates to the real-time regulation and control of the light environment in a greenhouse, in particular to an embedded facility light environment optimization control system that integrates light frequency and duty ratio. Background technique [0002] Photosynthesis is an important part of plant physiological activities. Illumination is not only an indispensable environmental factor in plant photosynthesis, but also plays an important role in regulating plant differentiation, growth and development as a plant physiological signal. It can better adapt to the external environment. With the development of modern facility agriculture in China and the increasing number of smog weather, the requirements for the efficiency of plant photosynthesis are gradually increasing. How to scientifically, reasonably and efficiently construct the light environment around plants has become an imp...

AI Technical Summary

Problems solved by technology

However, the existing lighting equipment does not take into account the lighting requirements of plants in different growth cycles. The same light-filling algorithm is used throughout the light-filling process, and the amount of light-filling cannot be optimally determined according to the growth state of the plants; now Most of the current supplementary light equipment ignores the control of the light itself, and uses static continuous illumination for supplementary light in the same supplementary light period, which makes it difficult to greatly improve the supplementary light efficiency of the equipment; the current equipment uses a single-chip microcomputer to realize the equipment automatic control, but did not take into account the accuracy of the final output of the single-chip microcomputer after adding peripheral circuits

Judging from the above points, there are still many imperfections in the design of supplementary light equipment: First, the continuous supplementary light method does not take into account the combination relationship between the frequency of light and the duty cycle for improving the efficiency of supplementary light. In this way, under the same energy consumption, the way of continuous supplementary light cannot further increase the net photosynthetic rate of plants

Secondly, there is a certain upper limit on the operation speed and accuracy of the single-chip microcomputer used in automatic control. The processing effect of a large amount of interactive data in the modern agricultural Internet of Things is not good, the calculation speed is slow, and the single-chip microcomputer is not well compatible with intelligent algorithms. Therefore, the work efficiency of the data processing of the system is greatly limited, and more intelligent control cannot be realized.

Finally, due to the limited accuracy of the single-chip microcomputer as the control terminal, the final output signal will be severely distorted when more peripheral circuits are added, and sometimes the goal of precise control cannot be achieved well, so that the advantages of the algorithm cannot be fully realized. is manifested

Based on the above reasons, the supplementary light mode, control model and hardware configuration of the current supplementary light system have become the main factors restricting the development of facility agricultural supplementary light equipment.

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