Internal environment control system of large-span solar greenhouse

Abstract

The invention belongs to the technical field of agricultural facilities and provides an internal environment control system of a large-span solar greenhouse. The system comprises a soil monitoring unit, a mobile monitoring unit, a GPS wireless communication network, a greenhouse controller, an environmental regulation unit, and an application platform. The Internet of Things technology is employedto perform intelligent environmental monitoring and automatic environmental regulation on a greenhouse, so a biological growth environment inside the greenhouse is efficiently changed in real time, and an environment most suitable for the growth of plants in the greenhouse is provided. The mobile monitoring unit capable of moving in a longitudinal direction is employed in the solar greenhouse, the mobile monitoring unit is in a reciprocating longitudinal movement at intervals, and the monitoring of environmental conditions in different locations within the solar greenhouse is achieved while the number of sensors and cameras in the solar greenhouse is reduced.

Description

technical field [0001] The invention belongs to the technical field of facility agriculture, and in particular relates to a large-span solar greenhouse internal environment control system. Background technique [0002] Traditional agricultural greenhouse planting is mainly judged by human experience, and most farmers rely on their feelings for heating, watering, ventilation, etc. There is no scientific basis for people to heat up when they feel cold, water when they feel dry, and ventilate when they feel stuffy. After agriculture has entered the information age, more and more attention has been paid to the collection of agricultural environmental information such as air temperature and humidity, soil temperature and humidity, CO2 concentration and light in the greenhouse. At present, manual on-site environmental information collection is usually required, but this method not only requires complex human work, but also cannot enable effective real-time monitoring of crops, an...

AI Technical Summary

Problems solved by technology

At present, manual on-site environmental information collection is usually required, but this method not only requires complex human work, but also cannot enable effective real-time monitoring of crops, and the human monitoring error is also large, and a large amount of manpower is required according to the monitoring results. make changes to the environment

This method is not only very cumbersome and requires a lot of labor, but also wastes time, cannot coordinate work in real time, and cannot provide the most suitable growth environment for crops to make them of good quality

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