摘要
伴随水电站程控电话系统越来越繁复及通信需求持续增长,加强网络稳定性与运行能力成为迫切任务,本文引入大数据技术,建立依据动态调节的仿真模型,对呼叫接通率、网络延迟、链路使用率及故障恢复时长等重点性能指标实行评估。使用负载均衡、途径优化跟智能调度等技术手段,对网络性能实行了改良,实验结果显示,优化后的网络在四项重点指标上均取得明显改善:呼叫成功率从85.4%上升至96.5%,传输时延减少至140 ms,链路利用效率增进9.5%,故障恢复耗时减少12 s。仿真与实地测试数据共同验证了该方案的成效,为水电站程控电话系统的网络优化提供了切实可行的技术途径。
The growing complexity and communication demands of hydropower station telephone networks require solutions for enhanced stability and performance.This paper applies big data analytics to develop a simulation model for dynamic topology adjustment.The model evaluates key performance indicators—call success rate,network delay,link utilization,and fault recovery time—and implements optimization strategies such as load balancing,path optimization,and intelligent scheduling.Experimental results demonstrate significant improvements:the call success rate increased from 85.4%to 96.5%,transmission delay was reduced to 140 ms,link utilization efficiency improved by 9.5%,and fault recovery time decreased by 12 seconds.Both simulation and field testing validate the effectiveness of this approach,providing a viable technical pathway for optimizing programmable telephone networks in hydropower environments.
作者
贾永贤
Jia Yongxian(Yellow River Wanjiazhai Water Conservancy Project Co.,Ltd.Xinzhou,Shanxi 036412,China)
出处
《北斗与空间信息应用技术》
2025年第6期116-118,共3页
Beidou and Spatial Information Application Technology
关键词
大数据
程控电话网络
动态调整
仿真模型
Big data
Program-controlled telephone network
Dynamic adjustment
Simulation model
