Statistic Analysis of Safety Accidents in Filling Stations Based on Big Data

The big data technology which taking data analysis and mining as core can efficiently collect, store and process data of filling station safety accident cases, and further realize the statistical analysis, knowledge mining, principle summary and early warning forecast of filling station safety accidents. The article collected 461 cases of filling station safety accidents from 1981 to 2019 domestically and internationally. Given that those electronic text data are not highly standardized and cannot be directly analyzed and utilized, keyword extraction and structured storage were adopted by this article, in order to implement structured processing of electronic text data. Through the multi-dimensional statistical analysis of the structured data, high-quality, reliable, and practical analytical results were achieved. The results demonstrated that big data technology would become the main development stream and one of the most vital weapons of statistical analysis in various industries in the future.