摘要
伴随信息化技术的普及,如何利用重大案事件现场勘查结果发掘要素关联关系及关键物证关联的外源信息,对现场勘查的调度指挥和定罪量刑具有极其重要的作用。作者在对国内外现场勘查技术的新进成果进行综述的基础上,以案事件要素关联机理为基准,现场要素可视化技术为核心,开展现场要素数据关联研判及可视化技术分类研究。本文从总体框架、功能模块、关联模式和方案设计等方面,介绍了现场勘验数据可视化展示与目标关联分析研判平台构建内容,并对研发出的案事件数据可视化研判平台的应用前景进行展望。
Increasing information technologies and applications have been bringing in various correlating informative sources from different devices.It is very important and challenging about how to exploit the investigated findings from the social profile-high or impact-striking cases/events that are related to such information resources because they can provide key evidence to effectively support investigation deployment and the final juridical verdict.Through introduction of the relevant techniques of spatial-temporal visualization into scene investigation,a constructive design was here elaborated on one spatialtemporal visualized platform for crime scene investigation.The devising intention focused on setting up those visualized essential classifications and involving scrutiny-and-judging resorts so that the cases/events can be reasonably linked/connected with the pertinent evidential objects/findings.The platform was presented as a hierarchical framework,highlighting how to assemble those uniform geo-information sources and make them able to utilize.There are key features of the platform concerning with its whole buildup,functional modules,correlating modes and scheme implementation.The simulative and exampled applications were put forth about the platform to play its role in different scenarios.Finally,the prospect was analyzed on the platform’s systemic innovation and extending applicability into crime scene investigation.
作者
石屹
彭斯璐
解鹏达
孟祥超
李文海
赵前胜
王明直
SHI Yi;PENG Silu;XIE Pengda;MENG Xiangchao;LI Wenhai;ZHAO Qiansheng;WANG Mingzhi(Institute of Forensic Science,Ministry of Public Security,Beijing 100038,China;Wuhan University,Wuhan 430072,China)
出处
《刑事技术》
2022年第1期69-75,共7页
Forensic Science and Technology
基金
国家重点研发计划(2017YFC0803808)。
关键词
关联研判
符号标注
要素推演
时空可视化
现场勘查
correlative judgement
symbolic marking
unit-based deduction
spatial-temporal visualization
scene investigation