[Purpose/significance] In the era of big data and intelligence, safety & security big data and safety & security intelligence (SI) have become the main driving force to realize intelligent safety & security management (SM). Therefore, it is of great significance to study big data-driven and intelligence-led intelligent SM. [Method/process] Based on an analysis of the connotation of SM from an integrative perspective of intelligence and data, and by combining SI with safety & security big data, this paper discussed the connotation of big data-driven and intelligence-led intelligent SM. Meanwhile, this paper established a research framework for big data-driven and intelligence-led intelligent SM. [Result/conclusion] Results of this study show that, safety & security data and SI are indirect and direct SM resources respectively, and the "big data-driven + intelligence-led" is a feasible path and approach to realize intelligent SM. Moreover, the big data-driven and intelligence-led intelligent SM has rich research contents and diverse research methods, it is a new research field with great potential.
Wang Bing
,
Wu Chao
. Big Data-driven and Intelligence-led Intelligent Safety & Security Management: Meaning and Research Framework[J]. Library and Information Service, 2020
, 64(11)
: 11
-18
.
DOI: 10.13266/j.issn.0252-3116.2020.11.002
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