Plant growth room based on artificial intelligence technology and its control system

Abstract

The invention relates to a plant growth chamber based on artificial intelligence technique and a control system thereof. The control system comprises an environmental parameter sensor, an environmental parameter transmitter, an artificial intelligence debugging device, an environment control driver and an environment control actuator, wherein a signal input terminal of the environmental parameter transmitter is connected with the environmental parameter sensor while an output terminal is connected with a signal input terminal of the artificial intelligence debugging device, the artificial intelligence debugging device configures the environmental conditions of the plant growth chamber through an expert system and according to plant types and experimental conditions, the environment control driver drives to starting or stopping devices in the environment control actuator, and the environment control actuator controls the environmental parameters to achieve target setting values. A framework, an upper cover mounted on the top of the framework, and a growth chamber body supported by the framework are detachably assembled. The plant growth chamber based on artificial intelligence technique and the control system thereof are capable of simulating different climates, provides favorable conditions for further study of influence law of physiological ecology caused by different environmental factors and compositions thereof, and has the advantages of large capacity, long service life and the like.

Description

technical field [0001] The invention relates to a super-large plant growth chamber used in scientific research, in particular to a plant growth chamber based on artificial intelligence technology and a control system thereof that can be easily disassembled and installed. Background technique [0002] my country is a large agricultural country, and the research on plant growth under natural environmental conditions is relatively backward. Traditional field observations of plant growth are greatly affected by environmental factors, resulting in long experimental periods and incomplete experimental data. Use computer-aided agricultural production to simulate ecological factors related to plant growth such as temperature, humidity and light in the natural environment, create local artificial climate, seek the best growth conditions for various crops, explore the growth and development laws of plants, and Make agriculture obtain high yield, ensure high-quality products, and impr...

AI Technical Summary

Problems solved by technology

However, the existing plant growth chamber cannot be effectively disassembled and assembled, and the environmental parameters of the growth chamber have a small adjustment range, few functions, low performance and intelligence, low control accuracy, complicated operation, and high cost, which is difficult to meet the growing scientific research work. need

For example, the domestic TPG-640-TH type plant growth chamber has an internal space size of only 130×100×49 cm, which can only meet the experimental conditions for the growth of most crops at the seedling stage, but cannot meet the experimental requirements for tall crops and the entire growing season of most crops. ; while some of the functions of similar products imported from abroad can meet the requirements of scientific research, but the price is extremely expensive, and the maintenance and operation costs are high. Therefore, the development of a large-capacity intelligent plant growth chamber is of great significance

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