首页|大数据网络及相关技术在学生违纪问题方面的应用

大数据网络及相关技术在学生违纪问题方面的应用

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校园安全与学生校内违纪问题近年来关注热度逐渐上升,随着数智时代的到来,应对和防范学生违纪问题的措施越来越多,当前广泛使用的视频监控和校园一卡通等相关技术有一定的局限性,无法有效地防范违纪问题的发生,因此,通过三种场景将物联网与可安装在校园内的传感器连接起来,及时收集和处理数据,实现低能耗、广覆盖、低成本的数据处理并将数据上传到云端,通过MapReduce在云端进行数据处理,根据不同的违纪行为产生预警,使大数据技术与校园霸凌、旷课、吸烟等违纪识别相结合,为学校工作人员监控学生记录和安全问题提供有价值的信息.
Big Data Networks and Related Technologies to Solve Student Discipline Problem
In recent years,the focus on campus security and students'on-campus discipline violations has gradually increased.With the advent of the era of digital intelligence,more and more measures have been taken to deal with and prevent students'discipline viola-tions.Currently,the widely used related technologies such as video surveillance and campus card have certain limitations,which cannot effectively prevent the occurrence of discipline violations.Therefore,the Internet of Things is connected with sensors that can be in-stalled on campus in three scenarios,data are collected and processed in a timely manner,data processing with low energy consumption,wide coverage and low cost is realized,and the data are uploated to the cloud.MapReduce processes the data in the cloud,and generates early warnings based on different disciplinary violations.Combining big data technology with the identification of disciplinary violations such as bullying,truancy,and smoking provides valuable information for school staff to monitor student records and safety issues.

IoTbig datadiscipline

冯洁心、南琳芝、姚瑶、YEOH Sarah Siew Yan、LEE Xun、OOI Zheng Yi

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陕西科技大学镐京学院经济贸易学院,陕西 西安

西安交通大学公共政策与管理学院,陕西 西安

马来西亚理科大学计算机学院,槟城 牛汝莪 11800,马来西亚

物联网 云数据 校内违纪

陕西省教育科学规划课题(十四五)陕西省新文科教学改革项目(2021)

SGH22Y1703

2024

电子器件
东南大学

电子器件

CSTPCD
影响因子:0.569
ISSN:1005-9490
年,卷(期):2024.47(2)
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