基于智能感知技术的用电事件识别方法研究

doi:10.11959/j.issn.2096-3750.2019.00138

Abstract

Abstract:

The rapid development of Internet of things and intelligent technologies provides the system support for intelligent load perception technology of power usage,as well as provides analytical data for power user behavior.In order to realize the accurate identification of equipment start or stop events,a technical proposal which combined the high frequency and high precision power data with the dynamic time consolidation (DTW) algorithm was proposed,and an experimental testing platform based on the independent hardware was built.The experimental results show that the power incident identification algorithm has a high identification accuracy and recall rate,which can be applied in more scenarios to realize the full perception of power load.

Key words: Internet of things, intelligent perception, non-intrusive load monitoring (NILM), dynamic time warping (DTW)

CLC Number:

TP399

Ziyuan YANG,Xiaobin XU,Xin LI,Yimeng ZHAO. Research on appliance event detection method based on intelligent perception technology[J]. Chinese Journal on Internet of Things, 2019, 3(4): 109-115.

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References 9

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设备事件	最大瞬时功率/W	启动次数
冰箱	1 100	412
饮水机（加热）	950	43
饮水机（制冷）	90	12
微波炉	1 100	22
电动门	40	3 782
咖啡机	1 200	89
洗衣机	200	11
电饭煲	900	8
烤箱	2 000	8

	5 Hz	10 Hz	20 Hz	30 Hz
精确率	100%	100%	100%	100%
召回率	98.1%	99.3%	99.3%	99.3%

设备事件	精确率	召回率
冰箱	100%	99.3%
饮水机（加热）	98.2%	93%
饮水机（制冷）	100%	91.7%
微波炉	100%	90.9%
电动门	100%	99.4%
咖啡机	96.4%	93.3%
洗衣机	100%	90.9%
电饭煲	88.5%	87.5%
烤箱	100%	100%

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Research on appliance event detection method based on intelligent perception technology

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