A cost-effective measurement of wet-bulb temperature of air has great benefits to fulfill a growing demand of industry,
cultivation agriculture, and medication. Applying an appropriate algorithm to wet-bulb temperature of air measurement
can effectively improve the accuracy and speed of its measurement. The study aims to research how an improved transmitter system along with the latent heat–based iteration algorithm is used to precisely measure wet-bulb temperature of
air. The work consists of (1) simulation of the iteration algorithm and (2) validation via experimental protocol. The simulation results through latent heat–based iteration algorithm were in good agreement (R2
5 0.99) with the reference. The
performance of the improved wet-bulb temperature of air transmitter system was tested by a latent heat–based iteration algorithm experimental setup. The experimental results demonstrate that the improved wet-bulb temperature of
air in a good consistency with commercial wet-bulb temperature of air in a range of temperature (15C–34C) and relative humidity (28.8%–76.2%). The Bland–Altman plot also shows that the mean value and the standard deviation of the
differences between these two systems are 0.14C and 0.29C, respectively, which indicates that the improved wet-bulb
temperature of air has a good agreement as well. Compared with the commercial wet-bulb temperature of air transmitter system, an advanced processor (STM32F103C8T6) and real-time operating system was applied in the improved wetbulb temperature of air transmitter system. The experimental results show that its measurement accuracy is closer to
the previous study. This study provides an alternative and cost-effective solution to accurately and real-time measure
wet-bulb temperature of air
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Measurement and Control
Volume
52
Issue
7-8
Pages
1002 - 1007
Citation
YAN, L. ... et al., 2019. An improved transmitter system to accurately measure wet-bulb temperature of air. Measurement and Control, 52 (7-8), pp.1002-1007.
This work is made available according to the conditions of the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Acceptance date
2019-05-26
Publication date
2019-06-24
Copyright date
2019
Notes
This is an Open Access Article. It is published by Sage under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/