项目名称: 基于作物信息融合的多尺度温室环境控制系统研究
项目编号: No.61273227
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 汪小旵
作者单位: 南京农业大学
项目金额: 80万元
中文摘要: 温室环境控制的最终对象是作物,将作物信息反馈到实时控制系统中,不仅可以提高控制精度,而且可以满足作物生长需求。本研究以时间尺度为工具,将包含作物信息的温室参数分为3层:环境因子层(包括温度、湿度、光照、CO2浓度等)、作物生理层(叶面温度、叶面湿度、茎流量、光合作用有效辐射等)和作物生长层(果实膨大速率、叶面积增长速率、茎秆增长速率等)。3层信息分别从实时、短时和长期3个周期表征温室状态,采用多源信息融合技术,将3种信息进行分层次、多级别、多方面融合,最终完成包含作物的综合温室信息融合平台,在考虑经济指标和生产能耗约束条件下,提炼出该平台下的温室控制评价指标体系,建立温室智能决策控制系统,不仅可以实现温室环境因子的实时控制,又能满足短期内作物的生理需求,同时对作物长期生长有利,从而达到增加温室作物产量,提高温室生产效率的效果。
中文关键词: 温室;作物信息;融合;控制;多尺度
英文摘要: Crops are the final objects in the greenhouse environmental control system, feedback of crops growth information to the real-time control system can both improve the accuracy of control system and meet the most needs of crops growth. In this study, following the time scale of crops growth, the greenhouse parameters will be divided into three layers, which are environment parameters layer (including the temperature, humidity, illumination intensity, carbon dioxide concentration, et al), physiological parameters layer( including the leaf temperature, leaf humidity, flow in stems, canopy photosynthesis effective radiation ,et al) and crops growth layer (including rate of fruits growth, rate of leaves area growth, rate of stems growth, et al). All the three layers can express the status of environment control in greenhouse in real-time, certain duration and long period timetable respectively, based on the multi-information fusion, the three layers containing different crop growth information will be fused and integrated into the Greenhouse Information Fusion Platform at different layers, various ranks and multiple aspects, in considering of economical indicators and energy consumption, various kinds of mathematical models will be yielded from the Greenhouse Information Fusion Platform, on which a subsystem is founde
英文关键词: Greenhouse;Crop Information;Fusion;Control;Multi-scale