摘要
为了提高供电企业作业质量,从现有作业数据库中提取隐含的、潜在的有用知识,把数据挖掘技术应用到供电企业作业危险点分析中。针对供电企业标准化作业危险点具有复杂多样性等特点,应用Apriori算法和SQL Server 2005 Analysis Services工具,建立依赖关系网络,对大量历史数据进行清理、变换和分析。结果表明:Apriori算法适用于供电企业作业危险点的分析。得到危险点关联度序列,提高决策分析水平,方便现场作业人员掌握危险因素并且及时做好防护工作。
In order to improve the quality of power supply enterprise operation and to collect knowledge which is potential and useful from the existing task database, this paper adopts data mining in operation dangerous point analysis of power supply enterprise. Operation dangerous point has characteristics of complex in power supply enterprise. It established dependency relationship network and analyzed data which were cleaned and transformed by Apriori algorithm and SQL Server 2005 Analysis Services, It finds out that Apriori algorithm is suitable for operation dangerous point analysis system of power supply enterprise. It gets a sequence of dangerous point correlation, improves the level of decision and analysis, and makes that operators mask the risk factors and do protection work in time.
出处
《沈阳农业大学学报》
CAS
CSCD
北大核心
2013年第1期122-124,共3页
Journal of Shenyang Agricultural University
关键词
数据挖掘
危险点分析
标准化作业
供电企业
data mining
dangerous point analysis
standardization operation
power supply enterprise
