Wójcik Augustyn, Łukaszewski Robert, Kowalik Ryszard, Winiecki Wiesław
Institute of Radioelectronics and Multimedia Technologies, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland.
Institute of Electrical Power Engineering, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland.
Sensors (Basel). 2019 Aug 20;19(16):3621. doi: 10.3390/s19163621.
Nonintrusive appliance load monitoring (NIALM) allows disaggregation of total electricity consumption into particular appliances in domestic or industrial environments. NIALM systems operation is based on processing of electrical signals acquired at one point of a monitored area. The main objective of this paper was to present the state-of-the-art in NIALM technologies for the smart home. This paper focuses on sensors and measurement methods. Different intelligent algorithms for processing signals have been presented. Identification accuracy for an actual set of appliances has been compared. This article depicts the architecture of a unique NIALM laboratory, presented in detail. Results of developed NIALM methods exploiting different measurement data are discussed and compared to known methods. New directions of NIALM research are proposed.
非侵入式电器负载监测(NIALM)能够将家庭或工业环境中的总用电量分解为特定电器的用电量。NIALM系统的运行基于对监测区域某一点采集的电信号进行处理。本文的主要目的是介绍智能家居中NIALM技术的最新进展。本文重点关注传感器和测量方法。文中介绍了用于处理信号的不同智能算法。比较了实际一组电器的识别准确率。本文详细描述了一个独特的NIALM实验室的架构。讨论了利用不同测量数据开发的NIALM方法的结果,并与已知方法进行了比较。提出了NIALM研究的新方向。