Simulation Of Ecological Environment Temperature Field And Study Of Environment Monitoring System

At present,most plant cultivation plants in China are monitored by wired,Wireless Fidelity(WiFi),ZigBee and other communication technologies.For modern plant cultivation plants,the communication technologies mentioned above have the problems of short communication distance and inflexible networking.To mushroom factory as the research object,this thesis based on the temperature Sensor in the actual production layout unreasonable,Wireless Sensor network(Wireless Sensor Networks,WSNs)node layout and power consumption without cost optimization and monitoring data is not integrated into monitoring platform leads to difficult to realize the unification management,Which is proposed based on LoRa(Long Range,LoRa)Wireless monitoring and control system,and from the temperature field simulation,design of WSNs and LoRa based Wireless data communication to realize the three aspects of research,The main research contents are as follows:1.Aiming at the problem that the temperature sensor in the factory is arranged according to the experience,which leads to the large error of the temperature data,in order to realize the optimal layout of the temperature sensor,the 3D model of the factory was firstly established using Computational Fluid Dynamics(CFD)and the simulation of the factory's internal environment was carried out.Finally,the layout of the temperature sensor is optimized based on the simulated environment.2.In view of the existing sensor communication connection technology that leads to the problem that sensors cannot be moved flexibly and network freely,this thesis compares the advantages and disadvantages of various communication modes and proposes the mushroom plant WSNs model based on LoRa communication based on the actual production situation of mushroom plant.The research will be carried out from the deployment mode of WSNs sensor nodes,WSNs routing algorithm,positioning algorithm and other aspects :(1)in view of the problem that the current factory does not consider the cost of sensor placement,this thesis chooses the regular quadrilateral random deployment mode when designing the layout mode of WSNs sensor nodes.Simulation results show that the regular quadrilateral random deployment mode can meet the deployment requirements of sensor nodes under the optimal cost.(2)To solve the problems of high power consumption of WSNs,poor positioning of nodes and easy loss of data,this thesis proposes an improved routing algorithm for dividing quadrangle grids and a gradual positioning algorithm based on temporary anchor nodes to optimize the performance of WSNs.Simulation results show that the improved algorithm optimizes the data transmission function of the monitoring system,balances the overall energy consumption of WSNs and extends the life cycle of WSNs.The stepwise localization algorithm based on temporary anchor nodes realizes the positioning of the whole network nodes o n the premise of a small number of nodes with positioning function,and makes the cost optimization of WSNs model of mushroom factory.3.In view of the problem that mushroom factory fails to integrate a variety of sensor data into the monitoring platform,which makes it difficult to achieve unified management,this thesis designs a mushroom factory monitoring system based on force control configuration software.Firstly,the monitoring system integrates LoRa wireless terminal equipment,wireless routing equipment and various sensors,and then conducts network test,communication distance test and packet loss rate test for LoRa wireless communication,and finally carries out communication test for the monitoring center.Test results show that the designed Lo Ra wireless monitoring system can realize wireless transmission and efficient management of mushroom production data,and can effectively improve the production efficiency and modern management level of the plant.