一种电梯检验项目优选数据挖掘模型研究

Research on a Data Mining Model for Optimization of Elevator Inspection and Testing Items

电梯检验信息化系统经过多年运行积累了大量的检验检测数据,数据挖掘技术可以从历年检验检测数据中获取大量有价值的信息。本文应用数据挖掘相关技术和方法对某市区域内电梯检验数据进行数据处理和分析,并建立电梯检验检测项目数据挖掘算法模型。该模型对数据源信息进行分词处理和词频计算,通过对标准库和目标库的相似度数值索引来推荐检验检测项目,为电梯保障性检验等工作提供技术支持。

After years of operation,the elevator inspection information system has accumulated a large number of inspection and testing data,and data mining technology can obtain a lot of valuable information from the inspection and testing data over the years.In this paper,data mining related technologies and methods are applied to process and analyze elevator inspection data in a city area,and a data mining algorithm model for elevator inspection and testing projects is established.The model performs word segmentation processing and word frequency calculation on the data source information,recommends inspection and testing items through the numerical index of similarity between the standard library and the target database,and provides technical support for elevator guarantee inspection.