基于文本挖掘的石化安全管理及可视化研究

Research on Petrochemical Safety Management and Visualization based on Text Mining

大数据技术的迅猛发展为实现数据价值提供了强有力的支持,其中面向信息检索领域的文本挖掘是其重要的一个研究方向。文章以浙江镇海炼化企业的安全生产记录为研究对象,利用文本挖掘技术对石油炼化过程中的安全事故记录展开研究,分析导致石化企业安全事故的主要原因和规律。同时,文章利用词云技术将统计结果进行可视化呈现,运用TF-IDF算法找出导致石化企业安全问题的主要因素,并提出切实有效的石化公共安全管理建议。

The rapid development of big data technology provides strong support for the value realization of data.Text mining technology,oriented to the field ofinformation retrieval,is an important research field of big data.Taking the safety in production record collected by Zhenhai petroleum refining enterprise of Zhejiang province as a research subject,the paper uses text mining to give the analysis on safety records,and to find the main reason and rule which may cause the accident of petrochemical industry.Simultaneously,we also use the technology of word-cloud to visualize the outcome of analysis.In the end,we use the TF-IDF algorithm to find the main factors that cause the accident of petrochemical industry,and we also give some efficient advice of petrochemical safety management to the government and petroleum enterprise.