摘要
通过对大数据技术在市域治安风险防控应用中的现状与不足进行剖析,深度挖掘市域治安风险源头和应对方法.探讨了适用于市域治安风险防范的大数据平台设计的要素基础与设计基础,对市域治安风险防控大数据平台进行结构设计、流程设计和功能设计,给出了矛盾纠纷风险防控、平安校园风险防控、重点关注人员时空轨迹分析等功能的实现方法,深度分析了由矛盾纠纷引起刑事案的内在因素(变量)及各因素的特征.为大数据在市域治安风险防控中的应用提供支撑.
This paper analyzes the current status and shortcomings of big data technology in the application of city-level security risk prevention and control,deeply explores the sources of city-level security risks and response methods.It discusses the elemental and design foundations applicable to the design of big data platforms for city-level security risk prevention,and provides structural,procedural,and functional designs for such platforms.It also presents methods for implementing functions such as conflict resolution risk prevention,safe campus risk prevention,and spatiotemporal trajectory analysis of key individuals.Furthermore,it analyzes in depth the intrinsic factors(variables)and characteristics of each factor that lead to criminal cases caused by conflicts,providing support for the application of big data in city-level security risk prevention and control.
作者
罗宁
Luo Ning(School of Investigation,Chinese Public Security University,Beijing 100038,China;Department of Investigation,Henan Police College,Zhengzhou 450046,China)
出处
《河南师范大学学报（自然科学版）》
CAS
北大核心
2025年第1期100-105,I0006,共7页
Journal of Henan Normal University(Natural Science Edition)
基金
国家社科基金(22BFX011)
河南省重点研发专项(221111321700)
河南省哲学社会科学规划年度项目(2022BFX012)
河南省高等学校青年骨干教师培养计划(2021GGJS167).
关键词
大数据
治安风险防控
平台设计
big data
security risk prevention and control
platform design
作者简介
通信作者:罗宁(1982-),女,河南睢县人,中国人民公安大学博士研究生,河南警察学院副教授,主要研究方向为公安学,E-mail:190004645@qq.com.
