scholarly journals Research on Intelligent Measurement and Control System for Internet of Things in Greenhouse

2020 ◽  
Vol 1486 ◽  
pp. 022037
Author(s):  
Zhifang Zhang
2012 ◽  
Vol 263-266 ◽  
pp. 2824-2828
Author(s):  
He Gong ◽  
He Long Yu ◽  
Gui Fen Chen ◽  
Zhu Wen

According to the construction situation of intelligent greenhouse in Agriculture Internet of Things in China, designed a measurement and control system of facilities vegetables based on Internet of Things. This design used JN5148 module as the core and applied JenNet stack to set up a wireless network. The environment factors, including temperature and humidity, light intensity, CO2 concentration and so on can be monitored in real-time, at the same time, shutter and water pump were also remote controlled through the GPRS gateway. The test result shows that this system operates stable, measures and controls precisionly, cost low electric quantity and better meet greenhouse environment monitoring and control system applications demand. Introduction


2012 ◽  
Vol 542-543 ◽  
pp. 972-975
Author(s):  
Xiao Dong Liu ◽  
Ya Rong Li ◽  
Bao Qing Yang

To analyze the intelligent measurement and control system in real world theoretically and overcome the disadvantages, where the high-general and abstract models are lacking for the analysis, guidance and description, a structure model was proposed based on personification theory. In this model, several major functional units of system were extracted using human body system as the analysis prototype. And three aspects of U(structural unit set), S(service set) and R(the relationship set) were discussed. The theory analysis suggests that this model has general, abstract, analyzable and guidable characteristic for analyzing intelligent measurement and control system.


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