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.
Support monitoring capabilities in the form of alarm monitoring, event monitoring, business monitoring, and scene monitoring
Support monitoring and troubleshooting capabilities such as fault identification, localization, and soft fault repair
Introducing large language models and multiple fault operation and maintenance intelligent agents, supporting root cause analysis, concealed hazard detection, and indicator prediction warnings, and other level 4 self-intelligence capabilities
Based on the long-term accumulation of large-scale models in the communication field, it improves the level of intelligent networking by focusing on core operation and maintenance scenarios such as intelligent positioning and concealed hazard detection.
Support self-service orchestration of network event preprocessing solutions, rapidly achieve network-wide fault monitoring and communication assurance for major or unexpected events, and improve operation and maintenance support efficiency.
Quickly create monitoring scenarios through the graphical interface configuration of scenario-based monitoring templates.
Reduce the Number of Daily Fault Tickets
Reduce the Average Network Fault Duration
Reduce the Number of Fault Occurrences
Improve the Operational Efficiency of Network Maintenance
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.
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.
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.
Tel:(010)82166688
Fax:(010)82166699
Business Cooperation:marketing@asiainfo.com
Complaints mailbox:AI_AC@asiainfo.com
Tel:(010)82166688
Fax:(010)82166699
Business Cooperation:marketing@asiainfo.com
Complaints mailbox:AI_AC@asiainfo.com
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