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Sensors 2011, 11(3), 2715-2727; doi:10.3390/s110302715
Article

Wireless Remote Weather Monitoring System Based on MEMS Technologies

1
, 2
 and 3,*
Received: 31 December 2010; in revised form: 12 February 2011 / Accepted: 14 February 2011 / Published: 1 March 2011
(This article belongs to the Special Issue 10 Years Sensors - A Decade of Publishing)
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Abstract: 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 × 10−4 (°C−1). The resistance of the pressure sensor also increases linearly with air pressure, with an average sensitivity value of 3.5 × 10−2 (Ω/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 °C, 30 °C, 40 °C, and 50 °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 × 10−2, 9.2 × 10−2, 9.7 × 10−2 (Ω/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.
Keywords: MEMS; WSN; weather monitoring system MEMS; WSN; weather monitoring system
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.

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MDPI and ACS Style

Ma, R.-H.; Wang, Y.-H.; Lee, C.-Y. Wireless Remote Weather Monitoring System Based on MEMS Technologies. Sensors 2011, 11, 2715-2727.

AMA Style

Ma R-H, Wang Y-H, Lee C-Y. Wireless Remote Weather Monitoring System Based on MEMS Technologies. Sensors. 2011; 11(3):2715-2727.

Chicago/Turabian Style

Ma, Rong-Hua; Wang, Yu-Hsiang; Lee, Chia-Yen. 2011. "Wireless Remote Weather Monitoring System Based on MEMS Technologies." Sensors 11, no. 3: 2715-2727.


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