Design Of Agricultural Greenhouse Environmental Detection And Control System Based On LoRa Network

At present,most of the agricultural greenhouse production activities in China rely on manual management,with low control accuracy,insufficient intelligent application,and lack of scientific management,it is difficult to improve the quality of crops.Most of the existing intelligent agricultural greenhouse network has many sink nodes,complex structure,and short communication distance.In terms of data fusion,it is divided into two extremes.Too complex calculation leads to high node power consumption,short life,or no fusion processing.Both cases are not suitable for the practical application of agricultural greenhouses.In the greenhouse environment control method,the switch control based on the set value is easy to cause the environmental parameters to be difficult to stabilize,and the PID control is difficult to adapt to the changing system.Aiming at the problems faced by the existing intelligent agricultural greenhouses,this dissertation designs and implements the agricultural greenhouse environment detection and control system based on LoRa wireless network,combined with embedded,data fusion,intelligent control methods,and other technologies.The main work of this dissertation is as follows :(1)Aiming at the problem that the manual measurement data is not timely and the control accuracy is low,according to the environmental characteristics of agricultural greenhouse planting,the sensor with relatively high accuracy can be collected at any time to improve the accuracy from the root of the data.(2)The use of inspection vehicles to collect air data and collect soil data at the same time greatly reduces the number of sink nodes and changes the form of large-scale sensor layout.(3)To improve the accuracy and reduce the power consumption of data transmission,the improved data fusion method is used to process the data in the acquisition node.In the inspection vehicle node,the adaptive weighted fusion algorithm is used to fuse the data of multiple sensors to reduce the impact of sensor spatial distribution and further improve the accuracy.(4)Aiming at the problem of a low degree of automation and intelligence of the existing system,the Fuzzy-PID intelligent control algorithm is adopted.The parameters of the PID controller are adjusted by fuzzy control.After the collected data is processed,the control decision is output to the terminal equipment,and the environment is automatically adjusted.The simulation and experimental results show that the effect of Fuzzy-PID control is better than that of switching control and PID control.