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基于云计算的电力通信干扰过滤技术研究

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电力通信网络易受各类干扰影响,传统干扰过滤技术已难以满足日益复杂的电力通信环境需求.因此,文章提出一种基于云计算的电力通信干扰过滤技术,包括分布式干扰数据采集与传输、云端协同干扰识别与分析、智能化干扰过滤等关键内容.通过实验验证,该技术在干扰识别准确率、识别时延、信噪比以及误比特率等方面均优于传统技术,能有效增强电力通信系统的抗干扰能力.
Research on Power Communication Interference Filtering Technology Based on Cloud Computing
Power communication network is vulnerable to all kinds of interference,and traditional interference filtering technology has been difficult to meet the increasingly complex power communication environment requirements.Therefore,this paper proposes a power communication interference filtering technology based on cloud computing,including distributed interference data collection and transmission,cloud collaborative interference identification and analysis,intelligent interference filtering and other key contents.The experimental results show that this technology is superior to the traditional technology in interference identification accuracy,identification delay,signal-to-noise ratio and bit error rate,and can effectively improve the anti-interference ability of power communication system.

cloud computingpower communicationinterference filteringintelligent identification

叶宇成、张卓逸

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国网江苏省电力有限公司南京市江宁区供电分公司营配管理部,江苏南京 210000

云计算 电力通信 干扰过滤 智能识别

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(20)