Open AccessA low power data transfer and fusion algorithm for building energy consumption monitoring
Author(s) -
Cuimin Li,
Shen Dandan,
Lei Wang
Publication year - 2019
Publication title -
international journal of low-carbon technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 26
eISSN - 1748-1325
pISSN - 1748-1317
DOI - 10.1093/ijlct/ctz039
Subject(s) - energy consumption , sensor fusion , computer science , data transmission , data redundancy , reduction (mathematics) , algorithm , redundancy (engineering) , transfer (computing) , real time computing , fusion , transmission (telecommunications) , repeatability , energy (signal processing) , data reduction , data mining , engineering , artificial intelligence , database , computer hardware , mathematics , statistics , telecommunications , electrical engineering , operating system , linguistics , parallel computing , philosophy , geometry
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.
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