Research Article
A Low Energy Consumption Multi-sensor Data Fusion Method for Fan Coil Unit Thermal Performance Test
@INPROCEEDINGS{10.1007/978-3-319-73317-3_46, author={Cuimin Li and Jin Li and Bai Yu and Lei Wang}, title={A Low Energy Consumption Multi-sensor Data Fusion Method for Fan Coil Unit Thermal Performance Test}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Multi-sensor network Data fusion Thermal performance test Low energy consumption Repeatability reduction}, doi={10.1007/978-3-319-73317-3_46} }- Cuimin Li
Jin Li
Bai Yu
Lei Wang
Year: 2018
A Low Energy Consumption Multi-sensor Data Fusion Method for Fan Coil Unit Thermal Performance Test
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_46
Abstract
The multi-sensor network can acquire and analyze the thermal performance data of fan coil unit and other building systems in real time by means of low energy and high precision sensing technology. It is necessary to compress the thermal data in the data transmission process. Aiming at the data fusion process applied to the thermal performance test system of fan coil unit, a new SMART-RR algorithm with low energy consumption data fusion is proposed. Considering the existence of cyclic repeatability and data redundancy, a time interval data fusion strategy of adding repeatability reduction factor is bedded in the algorithm. The simulation results show that the SMART-RR algorithm is a low energy consumption data fusion algorithm with low data communication volume and high accuracy.
