A low power data transfer and fusion algorithm for building energy consumption monitoring

被引：2
|
作者：
Li, Cuimin [1 ]
Shen, Dandan [2 ]
Wang, Lei [3 ]
机构：
[1] Suzhou Univ Sci & Technol, Sch Environm Sci & Engn, Suzhou 215009, Jiangsu, Peoples R China
[2] iBest Suzhou China Low Carbon Energy Technol Co L, Suzhou 215009, Jiangsu, Peoples R China
[3] Chinese Acad Sci, Suzhou Inst Biomed Engn & Technol, Suzhou 215163, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES | 2019年 / 14卷 / 03期
关键词：
Building Energy Internet of Things; energy consumption monitoring; wireless sensor network; data fusion; repeatability reduction; INTERNET; SYSTEMS; THINGS;
D O I：
10.1093/ijlct/ctz039
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Building Energy Internet of Things could collect and analyse various types of building energy consumption data in real time by means of low-energy consumption and high-precision sensing technology. In this paper, a low-energy consumption data transmission and fusion algorithm SMART-RR (Slice Mix Agg RegaTe-Repeatablibity Reduction) is proposed. Taking advantage of the periodic repeatability and data redundancy of building energy consumption data, a data fusion strategy with unequal long time intervals and adding repeatability reduction factor is proposed. The simulation results show that SMART-RR algorithm is a low-energy data transmission and fusion algorithm with small data traffic, high privacy protection and high accuracy.
引用
收藏
页码：426 / 431
页数：6
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