Research on the Transformation of Safety decision Driven by Major Accidents Based on Big Data Mining

Abstract

In recent years, major accidents have occurred in China, causing extremely heavy loss of personnel and property. Unsafe human behavior is the direct cause of accidents, while corporate security behavior has a deeper impact. This paper first reviews the research status of major security incidents and corporate security behaviors, and expounds the research gap between current social security behaviors and major security incidents. By describing the governance framework and driving force of corporate security behaviors, we can explore the content and path of social security decision driven by major security events. Based on this theoretical basis, the 8.12 Tianjin Binhai New Area explosion accident was cited. Through the network reptiles, the policy and industry trends of the China Chemical Safety Association were studied, and the NLPIRParser text search and mining method was adopted. The results show that the regulations before and after the accident have undergone major changes. As the regulations become more stringent, the company's safety has also been steadily strengthened.