基于6LoWPAN的智慧校园公共安全异常监控系统设计

中图分类号:????? TP393???? 文献标识码:A

摘要:

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,能够有效提高智慧校园公共安全性和异常监控准确性。

Abstract:

In smart campus networks, the inability of monitoring systems to accurately capture abnormal personnel information is the main cause of public safety incidents. To improve the public safety of smart campuses, a smart campus public safety anomaly monitoring system based on 6LoWPAN is designed. Establish a 6LoWPAN network and standardize the protocol stack stacking form within it, completing the development of a smart campus monitoring protocol stack based on 6LoWPAN. Using the 6LoWPAN protocol stack, functional modules are divided, and based on this, the connection relationship between personnel information collection module, environmental monitoring module, and access control module is established to achieve the design of application components for anomaly monitoring system. Adopting the upper computer node of the monitoring system, setting the module operating conditions of various component structures, and combining relevant application components, the design of a smart campus public safety anomaly monitoring system based on 6LoWPAN is achieved. The experimental results show that in the same frame image, the design system can extract all abnormal personnel information without any error extraction, which can effectively improve the public safety and anomaly monitoring accuracy of smart campuses.