| Greenhouse industry is an indispensable production method in agricultural production,and with the popularization of Io T technology,the field of agricultural production has gradually become one of the important application areas of Io T technology.In the context of Internet of Everything,agricultural production also ushers in an explosive growth of data,which also brings higher data computing and data transmission bandwidth requirements,and it is difficult for simple cloud computing to meet the current raw data computing requirements and storage needs.Edge computing as an extension of cloud computing provides a feasible solution for the shortage of cloud computing.This thesis takes the greenhouse control system as an application scenario and focuses on cloud computing load and transmission bandwidth to address the new demands brought by new technologies to the modern agricultural industry.The main research work is as follows :(1)Focus on the relationship between cloud and edge computing and the respective tasks of the cloud and edge,analyze the cloud and edge parts,and design and reference the overall architecture of the edge computing design control system.Taking the greenhouse as the application scenario,the overall architecture of the greenhouse control system based on edge computing is studied,and the limitations and characteristics of the application scenario are summarized.At the same time,the necessary research and sorting of the technologies required by the greenhouse control system are carried out.How to introduce edge computing in the joint working mode of cloud computing and edge computing.(2)The overall design of the system hardware.The data collection and control node of this design is realized by the smallest system board of STM32F103ZET6,which realizes the collection of key factors such as temperature and humidity,light intensity,and carbon dioxide concentration related to the greenhouse environment,and uploads the collected data to the edge computing support platform.(3)Support platform service process design.After determining the basic requirements and control flow of the edge computing control function on the supporting platform,the processing flow design of the control system is carried out on the platform.First,carry out the overall physical model,driver,edge node and other edge architecture design according to the functions of the hardware equipment,and then complete the specific platform deployment issues for the edge computing platform situation..(4)Hardware and supporting platform testing.Through the research of the greenhouse control system based on edge computing,the comprehensive and efficient functions of the greenhouse control system are ensured.The final operating results of the system show that the system is stable and reliable,and effectively completes the real-time monitoring of the greenhouse environment.According to the experimental data,the estimated errors of temperature,humidity,illuminance,and carbon dioxide concentration compared with the original greenhouse monitoring system are 0.5℃～1℃,0.3%～1%,24lux～50lux,11.2.5ppm～25ppm,the system is practical And promotion value. |
