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    • 1. 发明申请
    • TELECOMMUNICATION NETWORK ALARM MANAGEMENT
    • WO2022135813A1
    • 2022-06-30
    • PCT/EP2021/082670
    • 2021-11-23
    • TELECOM ITALIA S.P.A.
    • CASTROGIOVANNI, PinoGIANNANTONIO, RobertaGRASSO, EnnioSANTANDREA, Pier Giorgio
    • H04L41/0604H04L41/147H04L41/16H04L41/5074
    • A system (100) for managing network alarms (NA) generated by element manager modules (110(j)) in response to corresponding faults/malfunctioning affecting network nodes (105(i)) or links of a telecommunication network is disclosed. The system comprises:5- an alarm management platform (120) configured to gather the network alarms (NA) and to accordingly generate a first set (FSNA) of network alarms comprising at least a subset of the gathered network alarms (NA);- a network operator unit (130) configured to arrange the network alarms of the first set (FSNA) into a network alarm table (NT) providing for each network alarm 0listed in the network alarm table (NT) data describing the network alarm, the network operator unit (130) being further configured to manage the faults/malfunctioning affecting the network nodes or links corresponding to said network alarms (NA) by exploiting said network alarm table (NT);- an alarm prediction module (170) configured to receive from the alarm 5management platform (120) an alarm duration prediction request (PR(d)) about a predicted duration of a selected network alarm (NA) and alarm data (AD') regarding said selected network alarm (NA) and accordingly generate an alarm duration prediction (AP(d)) about a predicted duration of said selected network alarm (NA) by processing said alarm data (AD') regarding said selected network alarm (NA) through0a first machine learning algorithm trained with alarm data (AD) regarding past network alarms (NA) gathered by the AM system, wherein:- the alarm management platform (120) is configured to generate said at least a subset of the gathered network alarms (NA) for generating said first set (FSNA) of network alarms conditioned to said alarm duration predictions (AP(d)).