Big data-based cross-domain business routing penetration method and device

Abstract

The present disclosure relates to a method, device, electronic device, and storage medium for cross-domain service routing throughout the entire process based on big data. Among them, the method includes: the cross-domain service route concatenation step, using the circuit basic information table and the cross-domain connection table as input, according to the preset circuit route automatic concatenation algorithm, to realize the cross-domain service route concatenation; based on the graph database collusion step After the concatenation is completed, the routing information of the cross-domain business routing and the data of the A and Z terminals are stored in the database and transformed into the graph database. Based on the graph database traversal algorithm, the cross-domain business routing collusion is completed. The disclosure reduces the time spent on data census and manual entry based on big data analysis, which not only saves manpower but also improves data accuracy, which helps to reduce costs and increase efficiency, and improves practicability.

Description

technical field [0001] The present disclosure relates to the field of communication networks, in particular, to a method, device, electronic device, and computer-readable storage medium for cross-domain business routing throughout the entire process based on big data. Background technique [0002] In order to monitor whether the communication service is normal, it is necessary to quickly and accurately grasp each routing node in the communication line. Fast and accurate acquisition of transmission circuit routes will directly affect the accuracy of service monitoring and rapid fault location. [0003] The communication network is becoming more and more complex, 2G, 3G, 4G and even 5G coexist, Huawei, ZTE, FiberHome and other manufacturers coexist, wireless network, core network, data network, transmission network and other multi-network coordination, even within the transmission network can be subdivided For SDH network, PTN network, OTN network, PON network, etc. However,...

AI Technical Summary

Problems solved by technology

[0005] 1) Business scheduling runs through multiple disciplines through the workflow, each discipline maintains its own related content, and cross-discipline association is made during construction; such as basic ODF, DDF and other dumb resource data are inaccurate, which will lead to inaccurate maintenance of resources after construction allow;

[0006] 2) Supplementary recording after business scheduling is completed. On the one hand, it is difficult to coordinate various professionals. On the other hand, even if the personnel are coordinated, there are differences in the naming or cognition of the same resource, resulting in inconsistencies between the maintenance data and the actual data on site;

[0007] Both maintenance methods rely on manual maintenance and manual connection. The human investment is huge and the efficiency is low, which cannot meet the needs of rapid positioning.

Images