Greenhouse environment multi-parameter intelligent monitoring system 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 watermelon greenhouse environment parameteracquisition platform based on a ZigBee network and a watermelon greenhouse environment microclimate factor evaluation subsystem. The system realizes intelligent detection of watermelon greenhouse environment temperature and evaluation of microclimate environment factors. The problems that an existing watermelon greenhouse environment monitoring system does not accurately detect watermelon greenhouse environment parameters and evaluate environment factors according to the characteristics of nonlinearity, large lag, complex greenhouse environment parameter changes and the like of greenhouse environment parameter changes, and therefore the accuracy of predicting and evaluating the watermelon greenhouse parameters is improved are effectively solved.

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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