基于人工智能的光纤网络建设质量控制方法  

Quality control method for fiber optic network construction based on artificial intelligence

作　　者：赵志刚 ZHAO Zhigang(Aerospace Wanyuan Industrial Co.,Ltd.,Beijing 100076,China)

机构地区：[1]航天万源实业有限公司,北京100076

出　　处：《中国高新科技》2025年第2期20-22,共3页

摘　　要：光纤网络逐渐成为主要的信息传输载体,如何提高其建设质量成为关键问题。文章提出了一种基于人工智能的光纤网络建设质量控制方法(AI-QCMOFC),利用机器学习、数据挖掘和智能优化算法,对建设过程中的数据进行分析和优化。实验结果表明,AI-QCMOFC方法能够显著提升光纤网络的建设质量和效率,减少光缆接头数量、降低熔接损耗和衰耗系数,提高网络的性能和稳定性。With fiber optic networks becoming the main carrier of information transmission,how to improve their construction quality has become a key issue.This article proposes an artificial intelligence based quality control method for fiber optic network construction (AI-QCMOFC),which utilizes machine learning,data mining,and intelligent optimization algorithms to analyze and optimize data during the construction process.The experimental results show that the AI-QCMOFC method can significantly improve the construction quality and efficiency of fiber optic networks,reduce the number of fiber optic cable joints,reduce fusion losses and attenuation coefficients,and ultimately improve the performance and stability of the network.

关 键 词：光纤网络 人工智能 质量控制 

分 类 号：V435[航空宇航科学与技术—航空宇航推进理论与工程]