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[目的]为实现农业信息化和智能化中实时性应用需求,提出一种基于物联网的智能温室实时监测系统设计方案。[方法]根据温室系统中无线传感器网络(Wireless Sensor Network,WSN)的应用特点,设计了基于物联网的智能温室监测系统的体系结构,并针对WSN中低功耗自适应集簇分层型协议(Low-Energy Adaptive Clustering Hierarchy,LEACH)存在的负载均衡策略不完备性及系统高实时性要求提出了一种实时阈值路由算法(Real-time Threshold Routing Algorithm,RTRA)。[结果]通过MATLAB对RTRA的网络生存期和网络时延性能测试发现,在相同测试环境中,RTRA较LEACH具有较高的实时性,并在一定程度上节省了节点能量,延长了网络生存期,该算法能够满足农作物温室系统对实时性和节能性的要求。[结论]该试验设计的智能温室监测系统满足了实时性需求,为农业信息化和智能化研究发展奠定了基础。
[Objective] The research aimed to propose a real-time monitoring system design for intelligent greenhouse based on Internet of Things (IOT) in order to realize the real-time application demand in agricultural informatization and intelligence. [Method] According to the application characteristics of Wireless Sensor Network (WSN) in greenhouse system, the architecture of intelligent greenhouse monitoring system based on Internet of Things was designed. In view of WSN medium and low power adaptive cluster hierarchical protocol (Real-time Threshold Routing Algorithm, Real-time Threshold Routing Algorithm, Low-Energy Adaptive Clustering Hierarchy, LEACH) is proposed. [Result] Through the test of RTRA’s network lifetime and network delay performance by MATLAB, it was found that RTRA had higher real-time performance than LEACH in the same test environment and saved node energy to a certain extent and prolonged network lifetime , The algorithm can meet the requirements of real-time and energy-saving of crop greenhouse system. [Conclusion] The intelligent greenhouse monitoring system designed in this experiment meets the real-time requirements and lays the foundation for the research and development of agricultural informatization and intelligence.