首页|基于6LoWPAN的智慧校园公共安全异常监控系统设计

基于6LoWPAN的智慧校园公共安全异常监控系统设计

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在智慧校园网络中,监控系统无法准确捕获异常人员信息,是造成公共安全事件的主要原因;为提高智慧校园公共安全性,设计基于6LoWPAN的智慧校园公共安全异常监控系统;建立6LoWPAN网络,并在其中规范协议栈堆叠形式,完成基于6LoWPAN的智慧校园监控协议栈开发;利用6LoWPAN协议栈,划分功能性模块,以此为基础,建立人员信息采集模块、环境监测模块、门禁控制模块之间的连接关系,实现异常监控系统的应用部件设计;采用监控系统上位机节点,设置各级部件结构的模块运行条件,并联合相关应用部件,实现基于6LoWPAN的智慧校园公共安全异常监控系统设计;实验结果表明,在同一帧图像中,设计系统可以全部提取异常人员信息,且不会出现错误提取的情况,监控准确率高达100%,能够有效提高智慧校园公共安全性和异常监控准确性。
Design of Public Security Anomaly Monitoring System for Smart Campus Based on 6LoWPAN
In smart campus networks,monitoring systems can not accurately capture abnormal personnel information,resulting in main reason of public safety incidents.To improve the public safety of smart campuses,a smart campus public safety anomaly monito-ring system based on 6LoWPAN is designed.Establish the 6LoWPAN network,standardize the stacking form of the protocol stack,and develop a smart campus monitoring protocol stack based on 6LoWPAN.The 6LoWPAN protocol stack are used to divide func-tional modules,and based on this,the connection relationship between personnel information collection module,environmental moni-toring module,and access control module is established to achieve the application component design of anomaly monitoring system.The upper computer nodes of the monitoring system are adopted to set the module operating conditions of various component struc-tures,and combined with relevant application components,the smart campus public safety anomaly monitoring system based on 6LoWPAN is achieved.The experimental results show that in the same frame image,the designed system can extract all abnormal personnel information without any error extraction,with a monitoring accuracy of up to 100%,which can effectively improve the pub-lic safety and anomaly monitoring accuracy of smart campuses.

6LoWPAN networksmart campuspublic safetyprotocol stackpersonnel informationabnormal monitoring sys-temaccess controlupper computer

罗钢、许珂乐

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咸阳职业技术学院,陕西咸阳 712000

6LoWPAN网络 智慧校园 公共安全 协议栈 人员信息 异常监控系统 门禁控制 上位机

咸阳职业技术学院科研项目咸阳职业技术学院科研项目

2021KJB052021KJB10

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(7)
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