基于改进烟花算法的电力物联网状态可变数据流断点区优化检测仿真

邢巍; 李玥; 叶钲楠

基于改进烟花算法的电力物联网状态可变数据流断点区优化检测仿真

引用本文：邢巍，李玥，叶钲楠.基于改进烟花算法的电力物联网状态可变数据流断点区优化检测仿真[J].计算技术与自动化,2025,(3):158-163

摘要点击次数: 266

全文下载次数: 199

作者	单位
邢巍，李玥，叶钲楠	（国家电网有限公司客户服务中心,天津 300300）

中文摘要:电力物联网状态可变数据流断点区检测对于提高数据完整性、质量、处理效率，促进电力物联网智能化发展以及辅助决策支持等方面具有重要的作用，故提出了基于改进烟花算法的电力物联网状态可变数据流断点区优化检测仿真。首先，使用基于自适应窗口滑动的CCA算法分析电力物联网状态可变数据流的变化趋势和特征，从而得到数据流的动态变化情况，为后续的断点检测提供数据支持；其次，设定数据流断点区距离阈值，根据该阈值求取断点区分布密度特征作为数据流断点区的检测标准；最后，根据断点区的分布密度特征等信息，采用改进烟花算法动态调整烟花的爆炸半径、爆炸次数等参数，从而更有效地检测出到最精确的可变数据流断点区。实验结果表明，所提方法具有较高的检测精度和检测效率，且可以有效降低物联网的能耗，提升网络性能。

中文关键词:改进烟花算法状态可变数据流断点区检测 CCA算法分布密度特征

Optimization and Detection Simulation of State Variable Data Flow Breakpoint Area in Power IoT Based on Improved Fireworks Algorithm

Abstract:The detection of breakpoint areas in the variable data flow of the power Internet of Things plays an important role in improving data integrity, quality, processing efficiency, promoting the intelligent development of the power Internet of Things, and assisting decision-making support. Therefore, an optimized detection simulation of breakpoint areas in the variable data flow of the power Internet of Things based on an improved fireworks algorithm is proposed. Firstly, the CCA algorithm based on adaptive window sliding is used to analyze the trend and characteristics of the variable data flow in the power Internet of Things, in order to obtain the dynamic changes of the data flow and provide data support for subsequent breakpoint detection; Secondly, set the distance threshold of the breakpoint area in the data flow, and use this threshold to obtain the distribution density characteristics of the breakpoint area as the detection standard for the breakpoint area in the data flow; Finally, based on the distribution density characteristics of the breakpoint area and other information, an improved fireworks algorithm is used to dynamically adjust the parameters such as the explosion radius and number of explosions of the fireworks, in order to more effectively detect the most accurate variable data flow breakpoint area. The experimental results show that the proposed method has high detection accuracy and efficiency, and can effectively reduce the energy consumption of the Internet of Things and improve network performance.

keywords:improve fireworks algorithm state variable data flow breakpoint area detection CCA algorithm distribution density characteristics

查看全文 查看/发表评论 下载pdf阅读器