AISWare FM

AISWare FM is an operational support system for telecommunications network fault management aimed at operators, providing comprehensive automated, intelligent, and service-oriented operational support capabilities throughout the entire lifecycle. It covers core operational processes including alarm monitoring, event monitoring, service monitoring, scenario monitoring, dispatch supervision, and more for all professional equipment. It supports fault identification, localization, risk detection, predictive warning based on indicators, and soft fault repair, effectively improving operational efficiency and reducing costs.

Product superiority

Product value

01

Reduce the Number of Daily Fault Tickets

  • By compressing alarm associations, reduce the number of fault work orders distributed daily
  • By aggregating and assessing the authenticity of alarms, improve the accuracy of work order dispatch
02

Reduce the Average Network Fault Duration

  • Event preprocessing orchestration has shortened the time for fault identification, boundary positioning, and dispatching orders
  • Based on a large language model, achieve automatic analysis of root causes and rapid fault recovery
03

Reduce the Number of Fault Occurrences

  • Realize the key performance early warning and prediction capabilities of key network elements, networks, and services
  • Timely detect potential faults, generate network events, and track the handling process
04

Improve the Operational Efficiency of Network Maintenance

  • Provide network event monitoring for core, wireless, home customer, and other professional and business services
  • Help operators achieve the reform of operation and maintenance system towards 'centralization'

Application scenario

Monitor Digital Employees
  • Event monitoring and dispatching
  • Network cutover management
  • Emergency events and communication assurance
Hazard Detection
  • Metric anomaly detection
  • Alarm frequency statistics
  • Scheduled inspection
Event Monitoring
  • Event generation
  • Event pre-processing
  • Event presentation
  • Event dispatching and supervision
Alarm Monitoring
  • Realtime monitoring window
  • Monitoring dashboard
  • Alarm dispatching

Customer success case

Fault Management Center of a Certain Operator

Achieve the automation and intelligence of full-professional alarm collection, correlation analysis, fault boundary positioning, alarm pre-processing, and fault dispatching. AI-based fault Root Cause Analysis (RCA) technology enhances the accuracy of fault location, and performance warning and prediction significantly reduce the number of network fault tickets. Flexible custom topology monitoring methods facilitate routine maintenance by maintenance personnel, helping to upgrade the city's mobile network maintenance fault identification scenario to a self-intelligent network level.

  • 1000 The average daily number of work orders is below
  • 30 minutes The average fault duration is less than
Regional 5GC Fault Intelligent Monitoring Platform

Support intelligent monitoring of 5GC faults in the large region, relying on native AI capabilities, centrally managing faults across the entire network, and conducting intelligent analysis of 5G and NFV fault root causes across layers, professions, and network elements. This approach achieves alarm compression and precise dispatching, aiding in the enhancement of intelligent network operations and maintenance levels, and reducing the workload of frontline operations and maintenance personnel.

  • 95% The alarm compression ratio is higher than
  • 50% The operational and maintenance workload is reduced by
Monitoring Center for a Specific Vertical Industry Customer's Private Network

Achieved end-to-end network alarm monitoring functionality for dedicated network base stations, core networks, and transmission networks. It can help vertical industry customers to monitor the operation quality of dedicated networks in real time, promptly detect dedicated network alarms, and locate faults. It assists dedicated network operations and maintenance engineers in automating the monitoring of communication operations and trends. This has shortened the duration of dedicated network faults and reduced the workload of dedicated network maintenance personnel.

  • 10 minutes The average fault duration is less than
  • 90% The operational and maintenance efficiency is increased by

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