大数据背景下系列入室盗窃案件的打防机制研究

Research on the Mechanism for Striking and Preventing Series of Burglary Cases under Big Data Background

系列入室盗窃案件存在流窜现象突出、反侦查能力强,证据意识薄弱、物证提取率低,销赃渠道升级、追缴赃物难等侦防难点,传统侦查手段存在管控难、打击难、深挖余罪难的不足。大数据背景下,应从运用合成战法破获系列入室盗窃案件、加快情报数据网络建设、加强重点人口防范管理、建立情报信息共享机制四个方面构建系列入室盗窃案件的打防机制,在重视高新技术手段的基础上,加强传统侦查方法建设,丰富侦查破案途径。

There exist in series of burglary cases difficulties in investigation involving conspicuous fleeing from place to place, strong anti-reconnaissance capability, weak evidence awareness, low material evidence extraction rate,upgrade of distribution channel of stolen goods and difficulty in recovering stolen goods.Traditional investigation means witness difficulty in controlling, striking and deeply extracting surplus undiscovered crimes. Therefore, under big data background, efforts should be made to construct the mechanism for striking and preventing series of burglary cases, strengthen development of the traditional investigation methods and diversify investigation and case-handling approaches by using integrated operation method to handle series of burglary cases, speeding up the construction of an intelligence data network, strengthening management of key population prevention programs, and establishing intelligence information sharing mechanism.