人工智能在通信网络运维中的应用方案
The Application of Artificial Intelligence in Operation and Maintenance of Communication Network
摘要: 人工智能正在逐渐成为企业发展、社会管理的新工具。本文从通信运营商网络管理的现状进行分析,挖掘通信运营商企业现有面对多方面网络综合商用与市场竞争愈加激烈亟待解决的管理需求,提出人工智能具备解决通信运营商现有管理需求的能力,并提出了一个基于人工智能对现有通信运营商网络投资运行维护需求的完整解决方案,从人工智能平台、大数据平台和基础支撑能力三个部分构建人工智能化的通信网络核心构架,以基础支撑能力支撑大数据平台,以大数据平台支撑人工智能平台,最终形成完整的通信网络人工智能运维与管理架构。同时,本文重点对人工智能平台的智能决策、智能预测、智能运维及模型算法共四个模块组合进行了重点解析,各个模块组合中的独立模块与不同组合应用可完全解决通信运营现在面对网络运维管理中出现的各类问题。
Abstract: Artificial intelligence is becoming a new tool for enterprise development and social management. This paper analyzes the current situation of network management of communication operators, ex-plores the management needs that the communication operators face with the increasingly fierce competition between the comprehensive business and the market. The paper proposes that artifi-cial intelligence has the ability to solve the existing management needs of communication operators, and proposes a need for the operation and maintenance of the existing communication operators’ network investment based on artificial intelligence. The solution is to build the core framework of artificial intelligence communication network from three parts: artificial intelligence platform, big data platform and basic support capability. It supports big data platform with basic support capa-bility, supports artificial intelligence platform with big data platform, and finally forms the whole communication network artificial intelligence operation and maintenance and management archi-tecture. At the same time, this paper focuses on the analysis of the combination of four modules of intelligent decision, intelligent prediction, intelligent operation and maintenance and model algo-rithm of artificial intelligence platform. The independent modules and different combination appli-cations in each module combination can completely solve all kinds of problems in the network op-eration management that communication operation is facing.
文章引用:赵悦, 石建. 人工智能在通信网络运维中的应用方案[J]. 人工智能与机器人研究, 2021, 10(3): 224-228. https://doi.org/10.12677/AIRR.2021.103022

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