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为促进大数据的理论、方法、技术等应用于安全科学研究中,用比较法找出大数据与传统安全统计数据在理论、方法、具体分析和处理模式等4个方面的区别。采用文献法,先将大数据分类,然后详细论述大数据在安全科学理论、“3E对策”、事故发展过程等3项研究中的应用;最后对大数据在安全科学领域的研究热点和重点进行展望。结果表明,大数据具有广阔的应用空间,它与传统安全统计数据的理论、方法和技术各有一定的适用范围和条件,应视实际情况令两者取长补短、相互借鉴、互为利用,为安全科学研究服务。
In order to promote the theory, method and technology of big data, this paper applies the comparative method to find the differences between the big data and the traditional security statistics in four aspects: theory, method, concrete analysis and processing mode. Using the literature method, we classify the big data first, and then discuss in detail the application of big data in the three studies of safety science theory, “3E strategy” and accident development process. Finally, we study the big data in security science and Focus on the outlook. The results show that big data has broad application space. It has some applicable scopes and conditions with the theories, methods and techniques of traditional safety statistics. It should be based on the actual situation so as to make up for each other’s weaknesses and learn from each other. Scientific research services.