Real-time intelligent fault analysis method based on dynamic link in iptv network

Abstract

The invention relates to a method for implementing real-time intelligent fault analysis based on a dynamic link in an IPTV (Internet Protocol Television) network. The method comprises the following steps: performing probe device initialization operation; performing configuration according to an IPTV network node and generating monitoring point information configuration files; performing monitoring point information broadcast operation; performing network link discovery operation; performing device link node registration operation, performing link device monitor information synchronous update operation; performing node fault discovery processing operation; and performing fault location diagnosis operation and fault location alarm prompt operation. By adopting the method for implementing real-time intelligent fault analysis based on a dynamic link in the IPTV network, a probe on the link can perform node detection information synchronization and link inspection at set time, and an expert knowledge base in each node can diagnose abnormity and position and cause of the abnormity according to collected information in conjunction with self detection information, to achieve the purpose of link fault checking and locating purpose; and the method is quick and convenient in processing course, stable and reliable in working performance and relatively wide in application range.

Description

technical field [0001] The invention relates to the field of IPTV networks, in particular to the technical field of IPTV network fault detection and positioning, and specifically refers to a method for realizing real-time intelligent fault analysis based on dynamic links in an IPTV network. Background technique [0002] IP network O&M has the following three requirements: fast fault resolution, that is, when the network and services fail, the problem needs to be solved quickly to achieve rapid fault demarcation and location; proactive problem prevention, that is, real-time monitoring of service quality and network performance , find problems in time, IP bearer network failures need to be related to the affected services, and make early warnings through trend analysis; network daily management, that is, establish a network quality monitoring and health assessment system, through a complete set of KQI / KPI indicators System to reflect and manage user experience, grasp the actua...

AI Technical Summary

Problems solved by technology

Each layer of alarms is aimed at different degrees of video transmission problems: the first level is a serious network transmission problem alarm, which has a significant impact on video viewing

However, due to the self-organizing characteristics of the network itself, the deployment advantages of this super node cannot be fully utilized.

[0022] The current IPTV detection equipment on the market mainly detects the network status of the access point, but cannot dynamically network with other devices, and then analyze and locate the fault points and causes on the link

Although there is a network management system to record the topological relationship between each device, due to the multi-path and routing problems of the mesh topology, it is impossible to know which devices the real-time data stream of the user watching IPTV programs flows through.

When a failure occurs while the user is watching, there is no way to accurately locate which link or node is faulty when the fault occurs

But only from the device status and alarms on the network management topology, it is easy to lead to wrong judgments

For example, STB1 reports a failure, but there are two topological paths to STB1, so which topology path has a problem causing STB1 to report a failure? This situation cannot be clearly distinguished and identified, so it brings great inconvenience to the detection and maintenance of the IPTV network

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