检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:厉明 张立博 刘广东 LI Ming;ZHANG Libo;LIU Guangdong(China Green Development Investment Group Co.,Ltd.,Beijing 100020,China)
出 处:《微型电脑应用》2024年第12期119-122,共4页Microcomputer Applications
基 金:绿发(鲁能)办公楼智能化优化提升应用研究项目(529000210003)。
摘 要:受到网络传输环境及其算法缺陷的影响,当下智慧化楼宇监控系统的自动化程度整体偏低,除网络传输环境及其算法缺陷问题外,监控系统视频特征识别力低也是导致系统整体自动化效率偏低的原因。解决上述问题需要从网络与视频特征识别精准度两方面出发。因此,提出基于5G网络的智能化楼宇自动监控系统,并构建系统硬件框架与功能硬件。根据硬件对系统软件算法进行5G监控系统信号优化计算、楼宇用户信息的栅格化特征优化、基于5G网络的监控视频目标识别优化三部分设计,通过实验仿真调试,证明设计系统的设计思路是正确的,能够有效提升智慧化楼宇监控系统的整体自动化效率,解决自动化效率偏低的问题。Influenced by the defects of the network transmission environment and algorithms,the overall automation degree of the current intelligent building monitoring system is low.In addition to the defects of the network transmission environment and its algorithm,the low video feature identification power of the monitoring system is also the reason for the low overall automation efficiency of the system.Therefore,to solve the above problems,it starts from the accuracy of network and video feature identification.An intelligent building automatic monitoring system based on 5G network is proposed,and the hardware framework and functional hardware are built.The 5G signal optimized calculation,rasterization feature optimization of building user information,and surveillance video target recognition are designed according to the hardware and software algorithm of the system.Tests are carried out to show the design system is correct,which can improve the overall automation efficiency of intelligent building monitoring system and solve the problem of low automation efficiency.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.137.142.253