This method involves building a system for learning and analyzing alert data, events, and operational history generated from various telecommunication devices and network systems.

Abstract

This invention proposes a method for building a system for learning and analyzing alert data, events, and operational history generated from various telecommunication devices and network systems. The method is implemented through the following steps: collecting and standardizing network operational data, building an artificial intelligence model for the telecommunication network, and developing a system for analyzing and predicting network operations. The technical solution helps the model understand inter-network relationships, reduce false alarms, shorten incident response time, and continuously adapt automatically in a dynamic, multi-vendor network environment.

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