ZTE and China Mobile Launch Intelligent SPN Fault Diagnosis System

ZTE Corporation and Liaoning Subsidiary of China Mobile have verified the rule/policy-based SPN intelligent fault diagnosis system on the ZENIC ONE (UME) intelligent management, control and analysis platform and have it deployed in Liaoning province in China.

The 4G system, jointly developed by ZTE and China Mobile, orchestrates diagnostic flow policies through flexible and innovative programming of fault diagnosis rules. Thus, the intelligent management and control system can respond quickly and meet the requirements of operation and maintenance personnel to implement minute-level fault location.

In the traditional operation of PTN/SPN networks, it is difficult to develop alarm relativity rules, so the localization of large faults depends on the experience of senior O&M engineers. Diagnosis usually takes several hours with low efficiency. ZTE has found a new fault diagnosis method to flexibly orchestrate diagnosis rules and policies according to service scenarios to improve the efficiency of fault diagnosis and localization.

Based on the cloud-native and microservice architecture of the ZENIC ONE (UME), ZTE integrates the SPN intelligent fault diagnosis system on the ZENIC ONE (UME) as an independent tool. This system uses the knowledge graph to build the diagnostic rules and develops the diagnostic process through a series of atomized diagnostic rules, which can be programmed independently by Drools. At the same time, the system adopts jBPM workflow graphs and flexibly orchestrates rules and policies for different service scenarios, enabling rapid fault diagnosis and localization of 4G base station link services. and 5G.

ZTE and China Mobile have verified the fault diagnosis function of the system under service interruption and packet loss scenarios of 4G and 5G base stations on the existing network in Liaoning province. Faults are successfully located through backtracking and review of fault history. Fault location time is shortened from hours to minutes, and graphical diagnostic policies and flows are completed with a single touch. The system greatly reduces the difficulty of O&M in the existing network and greatly improves the efficiency of O&M.

In the future, ZTE and China Mobile will continue to use artificial intelligence technologies to promote system self-learning and enrich application scenarios such as mobile applications. Based on this, the two parties will implement closed-loop management, from fault diagnosis to automatic service recovery, and push autonomous networks to scale their service guarantee capability from L2 to L3.

Comments are closed.