摘要
针对现有IPTV质量监控平台无法将质差账号与用户信息对应、无法精准直推质差用户明细至一线维护人员的问题,实现了IPTV质差用户故障处理监控系统,通过图像识别算法批量识别质差账号、自动提取多系统间关联信息,并将质差信息按维护片区直推一线人员。应用表明,系统有效改善了地市IPTV质差率,节约了数据提取耗费的人工成本,实现了IPTV质差数据的多维度监控分析。
Aiming at the problem that the existing IPTV quality monitoring platform cannot match poor quality accounts with user information,and cannot accurately push the details of users with poor quality of broadcast to front-line maintenance personnel,this paper implements the IPTV monitor system for poor quality treatment.It uses image recognition algorithms to identify poor-quality accounts in batches,automatically extract related information between multiple systems,and directly push the poor-quality information to front-line personnel according to the maintenance area.The application shows that the system effectively improves the rate of IPTV poor quality in cities and towns,saves labor costs for data extraction,and realizes multi-dimensional monitoring and analysis of IPTV poor quality data.
作者
曹君
CAO Jun(Shuozhou Branch of China Mobile Communications Group Shanxi Co.,Ltd.,Shuozhou 036000,Shanxi)
出处
《电脑与电信》
2020年第12期62-64,共3页
Computer & Telecommunication
关键词
IPTV
质差用户监控
图像识别
自动提取
IPTV
quality monitoring system
image recognition
automatic withdrawal