基于物联网的高效和保护隐私的电力分配分析.
Ruichen Xu1, Jiayi Xu1, Xuhao Ren1
1School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
本研究介绍了PSDA,这是一种使用物联网 (IoT) 技术分析智能电网中的电力分配的新方法. PSDA 增强了数据隐私和实时处理,以实现可靠的智能电网运行.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 全球日益增长的电力需求需要稳定的发电系统.
- 电力中断带来了巨大的经济和社会成本,突出了对强有力的监测的需要.
- 物联网 (IoT) 在智能电网中的整合提供了实时数据功能,但引入了通信和隐私方面的挑战.
研究的目的:
- 提出一种基于物联网的方法,PSDA,用于智能电网中的高效和私有发电分析.
- 解决物联网支持智能电网中高通讯开销和用户隐私不足的挑战.
- 实现准确,及时和可扩展的监控,以改善智能电网管理.
主要方法:
- PSDA从分布式物联网传感器节点收集实时电力使用数据.
- 希尔伯特曲线用于空间数据组织,保持局部性并实现高效编码.
- 双服务器架构和分布式点函数 (DPF) 被用于高效的数据传输和隐私保护.
主要成果:
- 拟议的PSDA方法准确地分析了智能电网中的电力分配.
- 实验结果表明有效的实时处理和增强的隐私保护.
- 在智能电网管理系统中,PSDA促进了快速响应.
结论:
- PSDA提供了一种创新的物联网集成解决方案,用于安全高效的智能电网运行.
- 该方法在隐私和实时性能方面显著改进了传统方法.
- 准确的电力分配分析对于保持可靠的电力供应至关重要.
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