The Design And Implementation Of The Intelligent Agriculture System For Edible Fungi Based On Internet Of Things

In recent years,the Internet of Things(IOT)technology and wireless communication technology have been in a state of rapid development.The research on intelligence and automation has penetrated into the agricultural field,which provides a new development direction for the regulation of the edible fungus environment factors.Based on the climate characteristics of Fuping County in Baoding City and the experience of cultivating edible fungi,the research on intelligent agricultural system of edible fungi was carried out.The main work of this paper is as follows:First of all,the existing wireless communication technologies are summarized.The advantages and disadvantages in system overhead,data transmission distance,transmission rate,cost and power consumption have been considered.Wi-Fi technology is selected as the wireless communication technology of this subject.The NodeMCU IOT firmware platform is built on ESP8266 Wi-Fi communication module,which is programmed by the Lua scripting language.The environmental factors are collected by the terminal node in the edible mushroom.Then,the collected data can be uploaded to the cloud server in real time through the MQTT,which is the transmission protocol of Internet of Things.After that,the gathering data will be processed,displayed and stored in the server.Secondly,the environmental factors of the mushroom house are characterized by non-linearity,time-varying,hysteresis and multi-factor coupling.It is difficult to establish an accurate mathematical model to regulate it.The principle of fuzzy control is applied to the system to design the two-dimensional fuzzy control system for temperature.The controller is divided into four major parts: fuzzification part,fuzzy rule making part,fuzzy inference part and defuzzification part.The input variables are temperature deviation and temperature deviation change.On this basis,the triangular membership function of input and output lingual variables is formed in this thesis.Its main purpose is used to preprocess for the real-time data collected by sensors.The possible situations and countermeasures in the process of temperature control are integrated into the fuzzy rule table.The centroid method is used to defuzzification,and the corresponding executive strategy of the output can also be applied to the actuator.The results show that the algorithm can reflect the dynamic characteristics of the output variables in the control system,and can monitor and control the temperature in the mushroom.The reliability and robustness are good,and can be satisfied with system requirements.Finally,the detailed design of functional module for intelligent agriculture system has been completed,using Spring Boot integrated development framework technology of J2 EE,design pattern of MVC and software design architecture of B/S.The system has the ability of multi-region monitoring,which can realize intelligent monitoring of edible fungi.The fuzzy control technology is used to propose corresponding environmental control strategy of edible fungi,improving the efficiency of mushroom production.