Abstract
The production process of modern enterprises gives out a huge amount of data with increasing potential security risks. As new technology and way of thinking, big data has the most basic application in the process of safety, which is to analyze the potential laws of safety from the data generated by the massive production activities, and then eliminate the potential hazards for effectively curbing the occurrence of accidents. This paper analyzes the relationship between operational risk and big data and solves the basic theoretical problems of how to apply big data in production safety based on the relevant theories and characteristics of big data. On this basis, the paper studies the operational risk situation model based on big data, analyzes the operational risk factors of different dimensions and granularity by using the multidimensional model analysis method, and studies the behavior in the production operation.
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