基于Python的轨道交通安全质量检查问题大数据分析和可视化研究

Research on big data analysis and visualization of rail transit safety quality inspections based on Python

城市轨道交通工程安全质量管理的主要抓手是建设单位对施工单位的定期检查,检查形成的信息可以作为管理决策的主要依据。文章将基于Python的大数据分析方法融入传统安全质量管理中,通过安全质量检查问题反馈的文本挖掘大数据信息,提出安全质量关键问题的发现路径。以苏州市轨道交通7号线为例,进行大数据实例化分析,给出相关分析结果,为建设单位进行安全质量管控提供指导依据。

The main focus of safety quality management of urban rail transit engineering is regular inspection of the construction unit by the development organization.The inspection information formed can be used as the main basis for management decisions.The Python-based big data analysis method is integrated into the conventional traditional safety quality management,and the discovery path of key safety quality issues are proposed through the principles and methods of text mining big data analysis for feedback of safety and quality inspection issues.In the case of Suzhou rail transit line 7,the big data instantiation analysis is carried out,and the relevant analysis results are given,to provide a guidance basis to the development organization to carry out safety quality management and control.