摘要
通信运营商设备受地理环境、使用年限及产品质量等影响,部分通信设备存在隐患或者性能下降,导致故障频发,严重影响用户感知。怎样预防故障并提前解决,一直是企业的一大痛点。本文利用AI智能算法对通信设备进行数据分析,挖掘设备潜在隐患,并给出解决方案,能够确保通信设备高质量运行。基于算网的通信设备质量评估方法,可通过大数据分析,对设备进行评估,使维护人员进行预防性维护,减少设备故障次数,具有一定的实用价值,可以极大提高用户满意度。
Communication operator equipment is affected by geographical environment,service life and product quality.Some communication equipment has hidden dangers or performance degradation,resulting in frequent failures and seriously affecting user perception.How to prevent failures and solve them in advance has always been a major pain point for enterprises.By utilizing AI intelligent algorithms for data analysis of communication devices,potential hazards can be identified and solutions can be provided to ensure high-quality operation of communication equipment.The quality evaluation method for communication equipment based on computing network can evaluate the equipment through big data analysis,enabling maintenance personnel to carry out preventive maintenance and reduce the number of equipment failures.It has certain practical value and can greatly improve user satisfaction.
作者
张丽杰
晏志强
张斌
ZHANG Li-jie;YAN Zhi-qiang;ZHANG Bin(China United Network Communications Co.,Ltd.Changde Branch,Changde 415000,China)
出处
《电信工程技术与标准化》
2024年第9期40-47,共8页
Telecom Engineering Technics and Standardization
关键词
大数据模型
算力
AI智能
big data model
computational power
AI intelligence