Design of a High-precision Remote Greenhouse Control System Based on the Internet of Things under the B/S Architecture
The Internet of Things technology is adopted to build a high-precision temperature control problem for remote greenhouse.The network hardware architecture is designed and configured with a tem-perature control system based on greenhouse information acquisition sensors(temperature and humidity sensors,light sensors,CO2 sensors and soil moisture sensors)and controller(the main control chip is STM32F103VET6).Firstly,a greenhouse control network software framework was built based on B/S architecture,and noise information collected in greenhouse information was removed by filtering algo-rithm.Combined with controller characteristics and PID control theory,a greenhouse control algorithm was developed,and remote control of greenhouse temperature,humidity,light,CO2 concentration,soil moisture and other environmental factors and the design and operation of greenhouse control system were realized by implementing the developed algorithm.The experimental results show that the maximum signal to noise ratio of greenhouse information is 92.15dB after the design system is applied,and the calculated result of temperature control adjustment is consistent with the actual adjustment amount.How to further reduce the network delay and improve the control accuracy of greenhouse temperature is the key aspect of future system optimization and improvement.
Internet of ThingsB/S architectureintelligent greenhouseremote controldata analysis
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