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。
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 environrriental monitoring, for expanding the functions of Lab Information System（LIMS）, and for building the soil environmental monitoring expert system in the future.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2008年第8期162-168,共7页
Transactions of the Chinese Society of Agricultural Engineering
关键词
土壤环境监测
数据挖掘
数据仓库
模型构架
soil environmental monitoring
data mining
data warehouse
model framework
