基于AI构建高效无线基站智慧巡检体系研究与实践

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中图分类号：TN915 文献标志码：B 文章编码：1672-7274（2025）08-0156-05

Research and Practice on the Construction of an EfficientWireless Base Station Intelligent Inspection System Based on AI

CHEN Can， SHI Zhaoyang （Anhui Branch， China Telecom Corporation Limited，Hefei 23oo31，China）

Abstract： Inrecent years，the scale of 5G construction has continued to expand，and the number of wireless sites has increased year by year.The requirements for the secure operation of wireless networks have become increasingly high.Traditional inspection methods，which involve signifcant personnel investmentand lack control over inspection quality，can no longer meet the demands of efficient operation and maintenance.This paper aims to enhance the operational efficiency of base stations and ensure the safety of wireless network operations.It proposes a smart inspection platformbased onAIrecognition，NFC，and drone technologies，which enables ful-process monitoringof base station inspections and data analysis.By integrating AIimage recognition and data analysis technologies，it can identify potential hazards in the environment and equipment of base stations.The smartinspection system proposed in this paper effectively improves the inspection efciency of base stations and the quality of the network.

Keywords：AI; image recognition;wireless base station;smart inspection; drone

0 引言

随着5G网络的迅猛发展，基站站点数量急剧攀升。（剩余4948字）