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基于数据仓库的土壤环境监测综合挖掘模型构架
引用本文:郑向群,赵 政,刘东生.基于数据仓库的土壤环境监测综合挖掘模型构架[J].农业工程学报,2008,24(8):162-168.
作者姓名:郑向群  赵 政  刘东生
作者单位:1. 天津大学计算机科学与技术学院,天津,300072;农业部环境保护科研监测所,天津,300191
2. 天津大学计算机科学与技术学院,天津,300072
3. 农业部规划设计研究院,北京,100026
摘    要:为解决土壤环境监测全流程优化问题,提出了监测流程综合挖掘方法,采用数据仓库和工作流挖掘技术,构建了一个土壤环境监测综合挖掘模型构架.首先,采用雪花结构建立了数据模型构架,为流程挖掘提供数据底层;然后建立了监测流程综合挖掘模型构架,给出了监测单元挖掘、监测点位挖掘和监测数据挖掘,以及综合挖掘的模型函数和参数,以局部优化和全局优化的思路实现了土壤环境监测全流程优化.研究结果对于提高土壤环境监测效率,拓展LIMS实验室信息管理系统功能,构建土壤环境监测数据仓库和专家系统提供指导.

关 键 词:土壤环境监测  数据挖掘  数据仓库  模型构架
收稿时间:2008/3/14 0:00:00
修稿时间:2008/7/26 0:00:00

Integrated mining model framework for soil environmental monitoring data based on data warehouse
Zheng Xiangqun,Zhao Zheng and Liu Dongsheng.Integrated mining model framework for soil environmental monitoring data based on data warehouse[J].Transactions of the Chinese Society of Agricultural Engineering,2008,24(8):162-168.
Authors:Zheng Xiangqun  Zhao Zheng and Liu Dongsheng
Institution:1. Department of Computer Science and Technique, Tianjin University, Tianjin 300072, China; 2. Agro-Environmental Protection Institute, Ministry of agriculture, Tianjin 300191, China; 3. Chinese Academy of Agricultural Engineering, Beijing 100026, China,Agro-Environmental Protection Institute, Ministry of agriculture, Tianjin 300191, China and Chinese Academy of Agricultural Engineering, Beijing 100026, China
Abstract:In order to optimize the soil environmental monitoring process, an integrated mining model framework was presented on the basis of data warehouse and workflow mining technologies for the first time. This integrated mining model is made up of a data model and an integrated mining model. The data model is the data source for the integrated mining which is built by using Snow Flake Schema. The integrated mining model consists of local mining and global mining. That is to say, firstly, monitoring cell mining, point mining and monitoring data mining are fulfilled respectively, then global mining model is run to opimize the monitoring process. The paper brings forward how to build up these models and the framework, and what variables should be delivered. This study provides a guideline for enhancing work efficiency of soil environmental monitoring, for expanding the functions of Lab Information System(LIMS), and for building the soil environmental monitoring expert system in the future.
Keywords:soil environmental monitoring  data mining  data warehouse  model framework
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