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Sensors 2016, 16(3), 398; doi:10.3390/s16030398

An Inexpensive, Stable, and Accurate Relative Humidity Measurement Method for Challenging Environments

School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
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Academic Editor: Vittorio M. N. Passaro
Received: 26 January 2016 / Revised: 12 March 2016 / Accepted: 14 March 2016 / Published: 18 March 2016
(This article belongs to the Special Issue Sensors for Agriculture)
View Full-Text   |   Download PDF [2341 KB, uploaded 18 March 2016]   |  

Abstract

In this research, an improved psychrometer is developed to solve practical issues arising in the relative humidity measurement of challenging drying environments for meat manufacturing in agricultural and agri-food industries. The design in this research focused on the structure of the improved psychrometer, signal conversion, and calculation methods. The experimental results showed the effect of varying psychrometer structure on relative humidity measurement accuracy. An industrial application to dry-cured meat products demonstrated the effective performance of the improved psychrometer being used as a relative humidity measurement sensor in meat-drying rooms. In a drying environment for meat manufacturing, the achieved measurement accuracy for relative humidity using the improved psychrometer was ±0.6%. The system test results showed that the improved psychrometer can provide reliable and long-term stable relative humidity measurements with high accuracy in the drying system of meat products. View Full-Text
Keywords: drying rooms; measurement accuracy; relative humidity; psychrometric sensors drying rooms; measurement accuracy; relative humidity; psychrometric sensors
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, W.; Ma, H.; Yang, S.X. An Inexpensive, Stable, and Accurate Relative Humidity Measurement Method for Challenging Environments. Sensors 2016, 16, 398.

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