| With the continuous improvement of national economic level,the quality requirements for agricultural products are gradually increasing,this has led to a rising demand for finer agricultural production.In the context of smart agriculture,intelligent monitoring and control devices for agricultural greenhouses have emerged.These devices effectively improve the efficiency of remote monitoring and electrification control of greenhouses for producers,farmers and the research and production process,it also improves production efficiency and reduces labor costs.This system builds a three-layer structure of application layer,network layer,and sensing layer with reference to the Io T technology architecture,and determines the collection parameters,hardware and software design,overall deployment design,and designs the implementation of actual functions such as client by analyzing the actual application requirements.The main control part uses Raspberry Pi as the core controller,carries each sensor module for data collection,and carries out the wireless part of communication through Wi-Fi +5G,while designing the client operation interface written in HTML5 language to realize remote monitoring and management.(1)The perception layer part follows the principle of maximizing the measurement range and improving data accuracy within the reasonable range of market price,and the hardware adopts green deep SGP30 carbon dioxide sensor,BH1750 light sensor,DHT22 temperature and humidity sensor and KS109 ultrasonic distance measurement module to realize the accurate measurement and acquisition of environmental parameters.Through the Raspberry Pi’s 40 pin input/output bidirectional communication GPIO interface,the data communication between the sensor and the host is carried out by using the one-wire communication protocol and two-wire synchronous serial bus(I2C).(2)The network layer part uses the wireless communication technology of 5G+wi-fi to enables remote transfer of data to the server side and uses the POST method in HTTP protocol to upload data to the cloud server in real time,and realizes the remote storage and management of data through the database.(3)The application layer part uses the user interaction interface designed by the more compatible HTML5 language and adds Java Script scripts to realize dynamic response.When users choose to view the data,the system initiates a request to the node or cloud server,and the data is returned to the web page,which is graphically processed and fed back to the user in the form of a diagrams.In the cloud server,the early warning feedback is realized by analyzing and comparing the data.Through the actual deployment test,the results show that: the system achieves the accurate collection of temperature and humidity,light and carbon dioxide concentration in the greenhouse;the data can be safely and completely transmitted in real time through wireless network;the client and server side run stably and can store,retrieve and display data.And the overall design of the system achieves the characteristics of high stability,low latency and quasitransmission to meet the realistic needs,it fully meets the demand for remote monitoring of greenhouse data in the real production and research process. |
