Accurate recognition and extraction of massive device monitoring signals based on dynamic updating of genetic ant colony algorithm

Chuncan Deng, Cheng Yang, Fangyong Xiao, Dajie Suolang, Wenshan She
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引用次数: 1

Abstract

In order to improve the technical level of the grid state operation, the ant colony algorithm based on dynamic updating is proposed for the massive signal analysis in grid state system with the complexity of the structure and the high reliability. Though data mining and updating in dynamic correlation rules of device monitoring signals with evolutionary genetic algorithm, the correlation analysis of device signals is realized; and then through the dynamic ant colony algorithm grid signal location and analysis technology, the device monitoring signal accurate semantic extraction and expression is achieved. Through the massive signal analysis and reading test, the validity of the signal correlation judgment and signal file expression analysis is verified.
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基于动态更新遗传蚁群算法的海量设备监测信号的准确识别与提取
为了提高电网状态运行的技术水平,针对结构复杂、可靠性高的电网状态系统中海量信号的分析,提出了基于动态更新的蚁群算法。利用进化遗传算法对设备监测信号的动态关联规则进行数据挖掘和更新,实现了设备信号的关联分析;然后通过动态蚁群算法网格信号定位与分析技术,实现对设备监测信号的准确语义提取与表达。通过大量的信号分析和读取测试,验证了信号相关性判断和信号文件表达式分析的有效性。
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