摘要
基于AI、大数据、互联网与交通前端检测设备融合,研究了前端智能管理控制终端系统,解决了传统前端设备故障不能精确判断的问题,提高了监控故障分析与诊断的效率,加强了业务管理的效率和精细化,保障了监控系统长期的稳定运行,最大程度地节省了安防设备的日常巡检成本,有效提高了巡检结果的有效性和及时性,可规范运维管理流程,为运维质量考核提供依据。
Based on the integration of AI,big data,Internet and traffic front-end detection equipment,the front-end intelligent management and control terminal system is studied,so as to solve the problem that the fault of traditional front-end equipment cannot be accurately judged.The efficiency of monitoring fault analysis and diagnosis is improved,the efficiency and refinement of business management are strengthened,and the long-term stable operation of the monitoring system is guaranteed,so as to save the daily inspection cost of security equipment to the greatest extent,effectively improve the effectiveness and timeliness of inspection results,standardize the operation and maintenance management process and provide basis for operation and maintenance quality assessment.
作者
吕永萍
LüYongping(Shanxi Traffic Information Communication Co.,Ltd.,Taiyuan 030000,China)
出处
《北方交通》
2021年第10期83-85,共3页
Northern Communications
关键词
大数据分析
AI
可视化
电气单元智能管理
通信单元传输
Big data analysis
AI
Visualization
Intelligent management of electrical units
Communication unit transmission