TY - GEN
T1 - Wi-Fi connected environmental measurement system by small-scale solar cell
AU - Matsumoto, Yoshinori
AU - Ishigaki, Yang
AU - Tanaka, Kenji
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/21
Y1 - 2016/3/21
N2 - An environmental measurement system was developed using a low-power sensing module, IEEE 802.11 (Wi-Fi) connection module, and a small solar cell and battery. An Arduino-based sensing module was used for many kinds of analog/digital outputs sensors with the Arduino software library. The data from the module were sent via Wi-Fi HTTP(S) clients operation, and collected by MySQL server using PHP (Hypertext Preprocessor) uploading code. The sleep and wakeup strategy controlled by a real-time clock achieved an average system power consumption of 18 mW. The system also checked its own condition by measuring battery voltage and temperature. It operated on a small 0.8 W solar cell and 1500-mAh Lithium iron phosphate battery. Data on the MySQL server were downloaded, and visualized the sensing data on Google Maps. Visualizations and log data help users understand environmental contamination levels in a farm, garden, forest, etc.
AB - An environmental measurement system was developed using a low-power sensing module, IEEE 802.11 (Wi-Fi) connection module, and a small solar cell and battery. An Arduino-based sensing module was used for many kinds of analog/digital outputs sensors with the Arduino software library. The data from the module were sent via Wi-Fi HTTP(S) clients operation, and collected by MySQL server using PHP (Hypertext Preprocessor) uploading code. The sleep and wakeup strategy controlled by a real-time clock achieved an average system power consumption of 18 mW. The system also checked its own condition by measuring battery voltage and temperature. It operated on a small 0.8 W solar cell and 1500-mAh Lithium iron phosphate battery. Data on the MySQL server were downloaded, and visualized the sensing data on Google Maps. Visualizations and log data help users understand environmental contamination levels in a farm, garden, forest, etc.
UR - http://www.scopus.com/inward/record.url?scp=84964841889&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964841889&partnerID=8YFLogxK
U2 - 10.1109/ICSensT.2015.7438498
DO - 10.1109/ICSensT.2015.7438498
M3 - Conference contribution
AN - SCOPUS:84964841889
T3 - Proceedings of the International Conference on Sensing Technology, ICST
SP - 761
EP - 764
BT - 2015 9th International Conference on Sensing Technology, ICST 2015
PB - IEEE Computer Society
T2 - 9th International Conference on Sensing Technology, ICST 2015
Y2 - 8 December 2015 through 11 December 2015
ER -