Abstract
Small unmanned aircraft systems (UAS) are increasingly being used for meteorology and atmospheric monitoring. The ease of deployment makes distributed sensing of parameters such as barometric pressure, temperature, and relative humidity in the lower atmospheric boundary layer feasible. However, constraints on payload size and weight, and to a lesser extent power, limit the types of sensors that can be deployed. The objective of this work was to develop a miniature pressuretemperature-humidity (PTH) probe for UAS integration. A set of eight PTH probes were fabricated and calibrated/validated using an environmental chamber. An automated routine was developed to facilitate calibration and validation from a large set of temperature and relative humidity setpoints. Linear regression was used to apply temperature and relative humidity calibrations. Barometric pressure was calibrated using a 1-point method consisting of an offset. The resulting PTH probes were less than 4 g in mass and consumed less than 1 mA when operated from a 5 VDC source. Measurements were transmitted as a formatted string in ASCII format at 1 Hz over a 3.3 V TTL UART. Prior to calibration, measurements between individual PTH probes were significantly different. After calibration, no significant differences in temperature measurements across all PTH probes were observed, and the level of significance between PTH probes was reduced. Actual differences between calibrated PTH probes were likely to be negligible for most UAS-based applications, regardless of significance. RMSE across all calibrated PTH probes for the pressure, temperature, and relative humidity was less than 31 Pa, 0.13◦C, and 0.8% RH, respectively. The resulting calibrated PTH probes will improve the ability to quantify small variations in ambient conditions during coordinated multi-UAS flights.
Original language | English |
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Article number | 3261 |
Journal | Sensors |
Volume | 22 |
Issue number | 9 |
DOIs | |
State | Published - May 1 2022 |
Bibliographical note
Publisher Copyright:© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Funding
Funding: This research was supported in part by the NASA KY Space Grant Consortium under NASA award number 80NSSC20M0047, the National Science Foundation under award 1932105, and the United States Department of Agriculture National Institute of Food and Agriculture Multistate Project S1069 under accession number 1539070. The APC was funded by the Department of Biosystems and Agricultural Engineering at the University of Kentucky. This research was supported in part by the NASA KY Space Grant Consortium under NASA award number 80NSSC20M0047, the National Science Foundation under award 1932105, and the United States Department of Agriculture National Institute of Food and Agriculture Multistate Project S1069 under accession number 1539070. The APC was funded by the Department of Biosystems and Agricultural Engineering at the University of Kentucky.
Funders | Funder number |
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National Science Foundation Arctic Social Science Program | |
Department of Biosystems and Agricultural Engineering | |
University of Kentucky | |
Directorate for Computer and Information Science and Engineering | 1932105 |
National Aeronautics and Space Administration | 80NSSC20M0047 |
United States Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative CARE | 1539070, S1069 |
Keywords
- barometric pressure
- calibration
- distributed atmospheric monitoring
- embedded systems
- relative humidity
- temperature
- unmanned aircraft systems
ASJC Scopus subject areas
- Analytical Chemistry
- Information Systems
- Atomic and Molecular Physics, and Optics
- Biochemistry
- Instrumentation
- Electrical and Electronic Engineering