电梯检验检测信息数据挖掘方法研究

Research on Data Mining Method of Elevator Inspection and Testing Information

电梯检验模式改革中的一个重要课题是如何合理挑选检验检测项目,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,对上海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。此模型对数据源信息进行分词处理和词频计算后,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。

An important topic in the reform of elevator inspection mode is how to select inspection items reasonably.Data mining technology can obtain a lot of valuable information from the inspection data over the years.In this paper,we use data mining related technologies and methods to process and analyze the elevator inspection data in Shanghai,and establish the data mining algorithm model of elevator inspection items.After word segmentation and word frequency calculation of data source information,the model recommends inspection items through similarity numerical index of standard database and target database.