Big data in safety management: An overview

被引：32

作者：

Wang, Bing ^{[1
,2
]}

Wang, Yuanjie

机构：

[1] Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China

[2] Cent South Univ, Safety & Secur Theory Innovat & Promot Ctr, Changsha 410083, Hunan, Peoples R China

来源：

SAFETY SCIENCE | 2021年 / 143卷

关键词：

Safety; Big data; Safety management; Big-data-driven; Industrial safety; THEORETICAL PERSPECTIVE; DECISION-MAKING; BASIC QUESTIONS; INDUSTRY; 4.0; ERA; PARADIGM; SCIENCE; OPPORTUNITIES; INFORMATION; CHALLENGES;

D O I：

10.1016/j.ssci.2021.105414

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Big data has an important influence on safety management in various fields where its applications are becoming more prevalent. The analysis results of big data have become an important reference influencing safety decision-making. Realizing the promising benefits of big data in safety management has motivated us to write a review on the influence of big data and its applications in safety management. This study also investigates the challenges faced by big data in safety management and provides insights to future directions for research and practice. We first briefly introduce the development history of big data and its influence on safety management. We then review the general theories and technologies of big data in safety management. Finally, we summarize the typical applications of big data in safety management according to different fields. Additional findings from the review process are also presented.

引用

页数：15

共 162 条

[1] Big Data and Predictive Analytics in Fire Risk Using Weather Data [J].