IPTV service health degree evaluation method based on MLR indexes

Abstract

The invention discloses an IPTV service health degree evaluation method based on MLR indexes. The method includes the steps that quality reports uploaded by an IPTV quality analysis system are collected, and normalizing processing is conducted on the MLR indexes; a mean MDI_MLR(medium loss rate) value of an IPTV service of a certain user within an observation period is calculated according to the standard quality reports; the health degree indexes of the IPTV service within the period are calculated according to the mean MDI_MLR value of the user within the observation period; a health degree evaluation conclusion of the user is drawn according to a health degree index H value. By the adoption of the method, timeliness of the evaluation result is guaranteed, accuracy of the evaluation result is improved, and the evaluation result difference caused by superfine record granularity can also be avoided.

Description

technical field [0001] The invention relates to the field of an IPTV service health degree evaluation method based on a media packet loss rate index. Background technique [0002] At present, many operators, including China Telecom, have launched IPTV services for broadband network users. Broadband network users access the broadband network through an IPTV set-top box, and then convert the IPTV signal into a video signal, which is played on a playback terminal such as a TV. [0003] In the process of IPTV operation, due to broadband network quality, line and other reasons, the video signal is often damaged, and the user’s IPTV viewing quality drops (called "quality degradation"), which manifests as video mosaic, picture pause, audio and video out of sync, etc. , resulting in a large number of user complaints. Therefore, IPTV operators are facing huge pressure on service quality, and urgently need a means to evaluate the IPTV quality of a large number of users, and give ear...

AI Technical Summary

Problems solved by technology

[0005] The current problem is that most of the quality reports uploaded by various quality analysis systems include a variety of quality indicators, including MDI_MLR (media loss rate), DF (delay), Jitter (jitter), VMOS (average opinion score) Etc., it is difficult for IPTV operators to find the indicators that are closely related to the viewing quality of users from many indicators, and it is difficult to accurately perform quality of experience (QoE, QualityofExperience, the present invention is called "IPTV business health degree") of IPTV users according to these indicators. Evaluation

[0008] At the same time, most of the above models do not consider the collection methods of various indicators. Currently, there are various technical means to collect IPTV indicators, such as: indicator collection based on traffic analysis, collection based on video terminals, and collection based on network equipment. Different index collection methods also lead to differences in analysis results

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