日光温室温湿环境数据库的建立及其在专家系统中的应用

Construction of environmental data bank on temperature and humidity and its application for vegetables expert systems in Chinese solar greenhouse

设施蔬菜作物的生长发育与温室环境因子密不可分,生长发育进程明显受到温度的影响,而病害发生又与湿度很高时间较大相联系。以往的植物模型研究多是基于对理想环境数据的虚拟运用来实现的,是对作物形态结构和环境影响简化所致,因此在基于模型的专家系统中存在着误差较大,难于应用等问题。本文基于对番茄生长的日光温室多年环境数据的综合,建立了一套周年连续的温湿数据库,称为通用数据库。在温室蔬菜专家系统中,可以依此数据库中的数据对番茄、黄瓜等设施蔬菜的生长发育进程和病害发生进行预测,并可借助新数据的采集对原有环境数据库进行改进和补充、完善,从而使温室蔬菜专家决策系统更加智能,预测功能更为可靠,并在实际应用中取得了很好的效果。

Environmental factors in greenhouse have much more effects on protected vegetables growth, temperature may affect plant development stage, whereas high humidity may have effects on disease occurring ratio. Theory data was usually used in simulate model or expert systems. Real environmental factors change dramatically in greenhouse from month to month, so it is difficult to predict plant growth. In this paper, an over-year temperature and humidity database was founded by integrating 4 years data in same solar greenhouse. When the temperature database was used in vegetables expert system to predict plant growth stage, we could get much similarity between theory value and real value. So, it is a very useful database for vegetables model study and expert system construction. The results showed that measurement values were highly tally with simulate values, so the database can be used in vegetable expert system for preventing growth stage in Chinese solar greenhouse.