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

页码：426 / 431

页数：6

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