Video Quality Intelligent Monitoring Platform

Abstract

The invention discloses an intelligent video quality monitoring platform. The intelligent video quality monitoring platform comprises a platform home unit, a quality full-view unit, a quality monitoring unit, a diagnostic management unit, an alarm management unit, a resource management unit, a quality analysis unit, a configuration management unit, a process management unit and a system management unit, wherein the platform home unit comprises a user distribution module, an alarm statistics module, an alarm trend module and an alarm distribution module; and the quality full-view unit comprises a GIS full-view module and a topology full-view module. The platform can realize functions of service quality monitoring, early warning of the service quality, fault diagnosis and analysis and service quality statistics, and can monitor a user video service awareness state in real time by acquiring a network quality index at a user terminal side and a service transmission quality index; and early warning and pre-maintenance of a user network can be realized according to statistical user fault data in the quality full-view and quality monitoring, atoms can be automatically utilized for configuration as required, and a diagnostic result can be directly displayed on an engine.

Description

technical field [0001] The invention belongs to the field of video services, in particular to an intelligent video quality monitoring platform. Background technique [0002] With the rapid development of broadband networks, video services such as IPTV and OTT have developed rapidly, and have gradually become the main business areas for operators to develop value-added services; on the other hand, users have higher and higher quality requirements for video services. According to the survey, 79 41% of netizens expressed dissatisfaction with the buffering time of more than 10s; 43% of netizens thought that the buffering times were more than 3 times and they would consider other options for viewing. Therefore, how to improve user experience of video services, reduce failure rate and complaint rate, increase user stickiness, and expand user market have become the main problems operators face in business development. At present, the outstanding problems are as follows: business i...

AI Technical Summary

Problems solved by technology

At present, the outstanding problems are as follows: business indicators do not correspond to user perceptions, it is difficult to accurately and quantitatively evaluate business perceptions, it is difficult to locate faults, the efficiency of problem solving is low, and service quality degradation cannot be warned, etc.

[0003] However, end-to-end service quality monitoring from the user side to the network side has always been a headache for operators and third-party manufacturers, and service quality directly affects the development of operators' services

However, current network indicators cannot reflect service quality, user service perception cannot be quantified and evaluated, service quality indicators are imperfect, and monitoring methods are extremely scarce

Images