基于作物生长模型的WSN温室环境智能监控系统

WSN GREENHOUSE ENVIRONMENT INTELLIGENT MONITORING SYSTEM BASED ON CROP GROWTH MODEL

实现一种结合作物生长模型和无线传感网技术的应用于温室环境的智能监控系统。在环境监控中,为了解决温室监控范围广导致的节点能量消耗大等问题,设计了适合大规模温室环境监控的基于分簇的低功耗网络通信协议。主要以番茄为研究对象。智能决策的依据是番茄生长模拟模型。根据模型能预测番茄的发育期,进而对处于不同发育期的温室做出决策。

An intelligent monitoring system applied in greenhouse environment combining the crop growth model with wireless sensor network has been realised. In environment monitoring, in order to solve the problem of big node energy consumption due to the wide greenhouse monitoring scope, we design a clustering-based network communication protocol with low power consumption suitable for large-scale greenhouse environment monitoring. The main research object is the tomato. The basis of intelligent decision-making is the tomato growth simulation model we have built. According to the model the system can predict the development periods of tomatoes, and then make the decision for greenhouses in different development periods.