Journal
SENSORS
Volume 11, Issue 3, Pages 2715-2727Publisher
MDPI AG
DOI: 10.3390/s110302715
Keywords
MEMS; WSN; weather monitoring system
Funding
- National Science Council in Taiwan [NSC 99-2221-E-020-032, NSC 98-2218-E-110-001, NSC 98-3114-E-020-001, NSC 99-2923-E-006-008-MY2]
Ask authors/readers for more resources
This study proposes a wireless remote weather monitoring system based on Micro-Electro-Mechanical Systems (MEMS) and wireless sensor network (WSN) technologies comprising sensors for the measurement of temperature, humidity, pressure, wind speed and direction, integrated on a single chip. The sensing signals are transmitted between the Octopus II-A sensor nodes using WSN technology, following amplification and analog/digital conversion (ADC). Experimental results show that the resistance of the micro temperature sensor increases linearly with input temperature, with an average TCR (temperature coefficient of resistance) value of 8.2 x 10(-4) (degrees C-1). The resistance of the pressure sensor also increases linearly with air pressure, with an average sensitivity value of 3.5 x 10(-2) (Omega/kPa). The sensitivity to humidity increases with ambient temperature due to the effect of temperature on the dielectric constant, which was determined to be 16.9, 21.4, 27.0, and 38.2 (pF/% RH) at 27 degrees C, 30 degrees C, 40 degrees C, and 50 degrees C, respectively. The velocity of airflow is obtained by summing the variations in resistor response as airflow passed over the sensors providing sensitivity of 4.2 x 10(-2), 9.2 x 10(-2), 9.7 x 10(-2) (Omega/ms(-1)) with power consumption by the heating resistor of 0.2, 0.3, and 0.5 W, respectively. The passage of air across the surface of the flow sensors prompts variations in temperature among each of the sensing resistors. Evaluating these variations in resistance caused by the temperature change enables the measurement of wind direction.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available