The Development of Raspi-Met System with Raspberry Pi3 for Meteorological Monitoring in Remote Areas
Abstract The development of autonomous weather station systems using Raspberry Pi3 as a new alternative, named as ‘ Raspi-Met ’ to enhance conventional meteorological systems is reported in this paper. Today, a weather station with a compact size is required due to limited space and cost involved. T...
| Published in: | IOP Conference Series: Earth and Environmental Science |
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| Format: | Article in Journal/Newspaper |
| Language: | unknown |
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IOP Publishing
2020
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| Online Access: | http://dx.doi.org/10.1088/1755-1315/540/1/012086 https://iopscience.iop.org/article/10.1088/1755-1315/540/1/012086/pdf https://iopscience.iop.org/article/10.1088/1755-1315/540/1/012086 |
| Summary: | Abstract The development of autonomous weather station systems using Raspberry Pi3 as a new alternative, named as ‘ Raspi-Met ’ to enhance conventional meteorological systems is reported in this paper. Today, a weather station with a compact size is required due to limited space and cost involved. Thus, this paper aims to design an application system using Raspberry Pi3 which is connected to Vaisala PTU300 sensors as Automatic Weather Station (AWS). The Python language under LINUX has been employed to design a graphical user interface (GUI) for a real-time monitoring system, acquisition process, and displaying three meteorological parameters at desired intervals. Data storage management and daily file in a text (*.txt) format have been created to archive historical data. The RTC module has also been developed and connected to Raspberry Pi3 to synchronize and maintain the time and date of the measurement system after the power is on. The system was installed at Carlini Base, Antarctica and has the ability to measure the surface pressure ( P ), temperature ( T ), and relative humidity ( H ). The results have been tested and validated that the system is capable as an AWS in the Antarctic Peninsula. The development of Raspi-Met system exhibits remarkable measurements of meteorological parameters for remote areas and the database organization becomes more efficient and practical. |
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