인공 지능을 이용한 식물 공장 LED 조명 제어 시스템 구현에 관한 연구

Abstract

Currently, LED plant factory have been using colors by fixed red and blue colors spectrums. This has the disadvantage that can not be applied to organic, depending on the situation around.

In other words, if the type of plants according to the growth stage or the appropriate light environment can not be controlled, but rather hinder or promote the growth of plants, can cause unnecessary energy consumption. Growth progresses, the environmental conditions suitable for the growth period of the plant will vary, but always maintain the same environmental conditions, plant growth promotion and growth of plants can be inhibited in order to save energy when appropriate according to the step-by-step growth of plants formulation of the light source is needed. Because it has been using for secondary source energy is not the main source of energy in photosynthesis, also used in LED plant factory directly, depending on the external environment affect the growth of plants, do not give. In addition, LED unit price formation and also expensive because typically tend to be reluctant to use. In this paper, we present a system that is controlled by the organic as well as the use of LED lighting as the main energy source rather than a secondary energy source, according to the surrounding environment (temperature, illumination, humidity, soil conditions, etc.) Plant Factory Lighting System has been implemented. Existing fixed wavelength of LED, without using Variable LED wavelengths, and changes the system in the environment to be controlled organically by introducing the fuzzy inference system has constructed.