A multi-parameter intelligent monitoring system for greenhouse environment based on Internet of Things

Abstract

The invention discloses a greenhouse environment multi-parameter intelligent monitoring system based on the Internet of Things. The system is composed of a ZigBee network-based watermelon greenhouse environment parameter collection platform and a watermelon greenhouse environment microclimate factor evaluation subsystem. The system realizes watermelon greenhouse environment monitoring. The intelligent detection of ambient temperature and the evaluation of microclimate environmental factors; the present invention effectively solves the characteristics that the existing watermelon greenhouse environment monitoring system does not change according to the greenhouse environment parameters, such as nonlinearity, large lag, and complex changes in greenhouse environment parameters. Parameters are accurately detected and environmental factors are evaluated, so as to improve the accuracy of prediction and evaluation of watermelon greenhouse parameters.

Description

technical field [0001] The invention relates to the technical field of automatic monitoring of agricultural environment, in particular to a multi-parameter intelligent monitoring system for greenhouse environment based on the Internet of Things. Background technique [0002] Effects of greenhouse watermelon on temperature, humidity, illuminance and CO 2 The range of concentration requirements is different, and the requirements for them are also different in different growth periods of the same plant. The suitable temperature for the growth of watermelon in the whole growth period is 18-32°C, the temperature at the seedling stage is 25-30°C, the temperature at the vine extension stage is 28-30°C, and the temperature at the fruit setting stage is 28-32°C. In addition to considering the light intensity, the lighting environment in the greenhouse facility also needs to consider the influence of light distribution on the growth and development of watermelons at different growth ...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a greenhouse environment multi-parameter intelligent monitoring system based on the Internet of Things. The present invention effectively solves the problem that the existing watermelon greenhouse environment monitoring system does not change according to the greenhouse environment parameters, such as nonlinearity, large lag and complex changes in greenhouse environment parameters. Features, accurate detection and environmental factor evaluation of watermelon greenhouse environmental parameters, so as to improve the accuracy of prediction and evaluation of watermelon greenhouse parameters

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