Design of a Container-based Broadband RF Pulse Signal Analysis Algorithm Integration Scheme

Wenfeng Tian, Hui Deng, Pengfei Zeng
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引用次数: 0

Abstract

In order to better support the self-learning and dynamic upgrading of broadband RF pulse signal intelligent detection terminal for interference, partial discharge defective pulse signal features and its extraction algorithm, combined with the multi-sensor fusion, resource limitation and real-time information processing faced by the intelligent detection terminal, this paper is based on the principle of lightweight Docker container technology architecture, the partial discharge algorithm is developed, released, deployed, and The paper also adopts the multi-agent resource scheduling of lightweight containers to realize the intelligent scheduling of resources and continuous iteration of algorithms for broadband RF partial discharge detection system, supporting the development and application of broadband RF pulse signal detection and real-time analysis devices.
基于容器的宽带射频脉冲信号分析算法集成方案设计
为了更好地支持宽带射频脉冲信号智能检测终端对干扰、局部放电缺陷脉冲信号特征及其提取算法的自学习和动态升级,结合智能检测终端所面临的多传感器融合、资源限制和实时信息处理等问题,本文基于轻量级Docker容器技术架构原理,本文还采用轻量级容器的多智能体资源调度,实现宽带射频局部放电检测系统资源的智能调度和算法的连续迭代,支持宽带射频脉冲信号检测和实时分析设备的开发和应用。
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