【作者】 刘志勇； 孙常胜； 蔡涛； 张娟； 陈杰；

【Author】 Liu Zhi Yong Sun Chang Sheng Zhang Juan Chen Jie Department of Automatic Control. Beijing Institute of Technology, Beijing 100081

【机构】 北京理工大学自动控制系；

【摘要】 本文介绍了采用数据库技术构建的温室蔬菜栽培决策支持系统,并介绍了在其中使用数据挖掘技术发现潜在的新知识的办法。在此系统中,数据库存储了温室环境数据和温室管理人员和专家的管理记录, 还包括根据专家知识提炼的产生式规则和控制策略等内容;数据挖掘主要针对时序数据和序列数据这两种复杂的数据类型,前者来自于温室内传感器每十分钟记录的温室环境数据,序列数据则来自于温室管理人员和专家的管理记录。更多还原

【Abstract】 A Decision Support System for Vegetable Planting in Greenhouse is introduced. And Database technology is extensively used to construct the system. The database in the system not only stores data fromsensors. it also includes heuristic rules and control strategies from experts. Since large number of data has been accumulating in the database, Data mining technology is introduced into the system to find out potential new knowledge. Due to the characteristic of the greenhouse, two kinds of data is processed by data mining, that is, Sequence Data from the everyday log of the administrators or agricultural experts of the greenhouse, and Time-Series data from sensors which report all kinds of parameters of the circumstance every 10 minutes.更多还原