Self-adaptive intelligent automatic control system of greenhouse

Abstract

The invention discloses a self-adaptive intelligent automatic control system of a greenhouse, belongs to the technical field of automatic control and aims to provide a self-adaptive intelligent automatic control system acquiring multiple environment parameters, simple and convenient to operate and used for a greenhouse. For solving the technical problem, according to the technical scheme, the self-adaptive intelligent automatic control system comprises a microprocessor, an execution mechanism, an environment monitoring mechanism, a power supply module, a keyboard, a fuzzy network controller, avoice playing and warning module and a liquid crystal display module. The execution mechanism comprises an output control module, a water and fertilizer control magnetic valve, a roller-shutter machine, a shading net, a warm air blower, a carbon-dioxide generator and a light compensation lamp. The environment monitoring mechanism comprises a data acquisition module, an air temperature sensor, a soil humidity sensor, a CO2 concentration sensor, a lighting sensor and a water flow sensor. The microprocessor is connected with the output control module and the data acquisition module respectively.The self-adaptive intelligent automatic control system can be widely applied to the field of greenhouse planting.

Description

technical field [0001] The invention relates to an adaptive intelligent greenhouse automatic control system, which belongs to the technical field of automatic control. Background technique [0002] Greenhouse agriculture is an important development direction of modern agriculture. Due to its unique light transmission and thermal insulation properties, greenhouses provide favorable conditions for agricultural cultivation in cold regions or out of seasons. The control of the environment in the greenhouse, such as temperature, air humidity, soil humidity, light intensity, CO 2 Content, etc., are the key to greenhouse agriculture and play an important role in the growth and development of crops; while the control of the environment in greenhouses in my country basically depends on manual adjustment, which is far from automation. Not only the time cost and economic cost are high, but also artificial The adjustment method is difficult to achieve the purpose of adjustment. [0003...

AI Technical Summary

Problems solved by technology

Although there are many types of existing control systems, the control structure is relatively scattered and the control method is relatively single. Most of them require manual control. Therefore, these simple greenhouse control systems are far from meeting the needs of growers. Greenhouse control technology urgently needs fuzzy network, neural network and adaptive technology to join

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