Design of intelligent control system for agricultural greenhouses based on adaptive improved genetic algorithm for multi-energy supply system

Agricultural production is closely related to the development of the country. With the continuous development of science and technology, China's facility agriculture is advancing rapidly. Facility agriculture can overcome the impact of the natural environment and improve production efficiency. The development of facility agriculture is the only way for China to realize agricultural modernization. Greenhouses in China have been widely promoted, but the degree of automation is not high. The intelligent algorithms that appear in recent years do not rely on gradient information and other aux-iliary knowledge, but are suitable for solving large-scale complex problems. Therefore, the intelligent algorithm represented by genetic algorithm has become the main method for resource optimization. The purpose of this paper is to study the design of the multi-energy supply system based on the adaptive improved genetic algorithm for the intelligent control system of agricultural greenhouses. The related concepts of the improved genetic algorithm were introduced, and a framework was designed for the agricultural greenhouse control system. In order to verify the feasibility of the developed software and hardware, a greenhouse experiment platform was designed and improved in the laboratory, and the system designed in this paper was debugged and tested. The experimental results show that through intelligent control of agricultural greenhouses, the deviation of air temperature is less than 0.5 degrees C and the deviation of air humidity is less than 1% RH when stable. The value of carbon dioxide concentration after being basically stable has small fluctuations around the stable value, and the maximum relative fluctuation is less than 2.5%.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This paper studies the design of a multi-energy supply system based on the adaptive improved genetic algorithm for the intelligent control system of agricultural greenhouses. By intelligent control of agricultural greenhouses, production efficiency can be improved and deviations in temperature, humidity, and carbon dioxide can be reduced. The improved genetic algorithm is an effective optimization method.