软件导刊2026，Vol.25Issue(8)：139-146,8.DOI:10.11907/rjdk.251379
基于自适应分布式边缘计算的智慧农业大棚控制系统
Smart Agricultural Greenhouse Control System Based on Adaptive Distributed Edge Computing
摘要
Abstract
In order to improve the data transmission stability,security and resource utilization of the agricultural greenhouse control system in areas with weak infrastructure,a smart agricultural greenhouse control system based on adaptive distributed edge computing is designed,in-cluding data acquisition module,edge computing module,execution device module,intelligent decision-making module and remote control module.The system realizes real-time and accurate collection and processing of the internal environmental parameters of the greenhouse by de-ploying edge computing nodes inside the greenhouse,so as to intelligently adjust the irrigation,temperature control,lighting and other key equipment in the greenhouse according to the collected data;At the same time,the convolutional neural network and multimodal data fusion technology are combined to monitor the crop growth status in real time,and to predict pests and diseases and assess crop health.Through the collaborative learning of edge nodes,the overall intelligence level of the system has been improved,and data privacy has also been effectively protected.Simulating different loads with transmission rates of 500 lines/s and 1 000 lines/s respectively for testing,the results show that the system not only maintains stable transmission rate,but also realizes reliable transmission of zero packet loss,providing intelligent and green solutions for agricultural greenhouse control,and has broad application prospects and promotion value.关键词
自适应/分布式边缘计算/智慧农业大棚/智能调控/多模态/数据融合/卷积神经网络Key words
adaptive/distributed edge computing/smart agricultural greenhouse/intelligent control/multimodal/data fusion/convolution-al neural network分类
信息技术与安全科学引用本文复制引用
何颖,郭潇雨,陈羿成,胡瑜,陈淑鑫,周妍,王睿馨..基于自适应分布式边缘计算的智慧农业大棚控制系统[J].软件导刊,2026,25(8):139-146,8.基金项目
天津市教委科研计划项目(2024KJ135) （2024KJ135）
