摘要
在当前公安智慧教育建设背景下,为了更好适应现代警务发展的要求,公安院校学警管理借助人工智能、大数据、云计算、物联网、泛在感知等现代信息技术,全方位采集、清洗、提取、挖掘、反馈来自学警行为特征、学习行为、生活习惯、心理行为等海量轨迹数据,及时定位学警从入学到毕业、从学习到实习整个成长中的日常过程与细节,建构了学警学业、思想、生活等方面行为轨迹分析预警系统,为公安院校教学、学管等学警管理部门提供实时性、全样本的数据信息与可操作的个性化、共享化的公安智慧教育模式。
In the current background of public security and wisdom education, in order to better adapt to the requirements of modem police development, public security colleges and police management rely on artificial intelligence, big data, cloud computing, Internet of Things, ubiquitous perception and other modem information technology. Collect, cleanse, extract, mine and feedback the massive trajectory data from the behavioral characteristics, learning behaviors, living habits and psychological behaviors of the police, and timely locate the daily process of the police from enrollment to graduation, from study to internship. With the details, it constructs a behavioral trajectory analysis and early warning system for the academic, ideological, and life aspects of the police, providing real -time, full -sample data information and operable individualization and sharing for the police management departments such as teaching and learning in public security colleges. The public security wisdom education model.
作者
姚东升
单巧斌
Yao Dong-sheng;Shan Qiao-bin(Shanghai Public Security College, Shanghai 200137 China;Shanghai Municipal Public Security Bureau Wenbao Branch, Shanghai 200084 China)
出处
《西部公安论坛》
2019年第1期71-75,共5页
Journal of Western Public Security