Research On Analysis And Visualization Of Subway Construction Safety Hazards Based On Text Mining

As the direct cause of safety accident,metro construction safety hazards are highly appreciated by our country and metro enterprises.In the context of informatization management,metro enterprises in different areas successively set their own hazards troubleshooting system.With the deep development of metro construction,the system has accumulated numerous unstructured text records on its safety hazards.However,currently,these records are used for store and querys only.Valuable information underlying these records haven't been found out,which can reflect the law of metro construction safety hazards.Firstly,combining Chinese Word Segmentation Technology,Term Frequency-Inverse Document Frequency(TF-IDF),and Latent Dirichlet Allocation(LDA),this thesis figures out a topic mining method to identify hazards in the metro construction progress on the basis with real historical data.Then,taking one city's 2016-2018 metro construction hazards text records as data sources,this thesis recognizes the hazard categories and troubleshooting points during construction progress by using the proposed method.Finally,using field sampling and manual review,this thesis matches the screening hazard records in the data source with identified hazards catagories.Furthermore,with the help of social network analysis technology,the thesis reveals the various hazards occurring conditions of different years and constructing parts,and points out the corresponding occurrence times of various hazards in constructing parts,which are displayed visually as images.The thesis aims to analyse the massive unstructured texts of metro construction hazards.The proposed method combines text mining and visualization technique,which can realize the transition from text data to visualized information.This method can provide data support for hazards screening in the future.It is also available for metro enterprises to make hazard troubleshooting almanac and use the visualized analysis results on workers safety training,which has important application value.