Sample data processing method, system and device

Abstract

The invention discloses a sample data processing method, system and device, and relates to the technical field of communication. The sample data processing method comprises the following steps: acquiring alarm data, fault data and configuration data of at least one target network at multiple time points from a database, and respectively converting the alarm data, the fault data and the configuration data into corresponding vectors; constructing a multi-layer high-dimensional space for at least one target network, wherein the multi-layer high-dimensional space comprises an alarm data layer, a fault data layer and a configuration data layer of each target network; wherein each layer is a two-dimensional matrix with the same dimension, and the two-dimensional matrixes are used for storing thevectors obtained through conversion in rows according to the sequence of time points. According to the invention, the configuration data, the alarm data and the fault data of the optical network foroperation and maintenance experts are converted into the sample data for machine learning, the storage efficiency of the sample data is improved, and the intercommunication and sharing of cross-domainsample data of different manufacturers are realized.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a sample data processing method, system and device. Background technique [0002] When the current performance index of the optical network equipment exceeds the limit or some potential performance is deteriorating, a series of alarm data will be generated and reported to the network management platform. When an optical network device fails, alarm data and fault data will be generated and reported at the same time. At present, operation and maintenance experts analyze the alarm data and fault data, locate the location of the fault, formulate a fault repair strategy, and then send the corresponding configuration data to the location of the fault for repair through the management platform and control platform, and trigger protection switching when necessary to ensure normal operation of the optical network. [0003] With the increasing scale of optical networks and...

AI Technical Summary

Problems solved by technology

These heterogeneous data cannot be directly used as sample data for machine learning; on the other hand, due to factors such as the huge amount of network data and the differences of various types of networks, it is impossible to flexibly extract the required sample data according to the needs of machine learning

Images