摘要
社区是公共安全治理的基本单元,社区安全研究意义重大。该文面向社区风险防范的重大需求,首先,从人、物及管理3个角度厘清社区风险的来源,剖析社区风险的特性及原因;然后,阐述社区风险防范的内涵,提出监测监控、预测预警和智能防范是社区风险防范的关键技术,在综合分析当前风险防范研究现状及发展趋势的基础上,指出大数据平台是社区风险防范的基础支撑;最后,分别从功能、结构及构建流程3个层面展开面向社区风险防范大数据平台的理论架构设计。为社区风险防范及大数据平台的基础理论研究大数据平台搭建及风险防范提供理论和技术支撑。
Since communities are the basic units for public safety management,community risk prevention is of great significance.Community risk prevention must first identify community risks for people, things and management. This study analyzed the characteristics and causes of community risk to identify community risk prevention methods and how to monitor,control,predict,quickly detect and prevent community risk.Current international development trends for community risk prevention are reviewed to show that big data platforms are the key technology for community risk prevention.Finally,this paper describes the function,structure and construction of a large data platform for community risk prevention.This research on community risk prevention and big data platforms provides theoretical and technical support for community safety and security.
作者
贾楠
郭旦怀
陈永强
刘奕
JIA Nan;GUO Danhuai;CHEN Yongqiang;LIU Yi(Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University,Beijing 100084,China;Computer Network Information Center,Chinese Academy of Sciences,Beijing 100019,China;Department of Mechanics and Engineering Science, College of Engineering,Peking University, Beijing 100871,China)
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2019年第2期122-128,共7页
Journal of Tsinghua University(Science and Technology)
基金
国家重点研发计划项目(2017YFC0803300)
国家自然科学基金资助项目(71673158
91646101
1324022
91646201)
关键词
社区风险
风险防范
关键技术
大数据平台
理论架构设计
community risk
risk prevention
key technologies
large data platform
theoretical architecture design
