การพัฒนาเครื่องวัดสภาพอากาศพื้นฐานอัตโนมัติ เพื่อรองรับการตัดสินใจเชิงพื้นที่จากการเปลี่ยนแปลงด้านสภาพภูมิอากาศ

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Amornchai Prakobya
Singha Meehuathon
Thanaphong Somkhuan
Natnajee Srisamai
Waraporn Sawangha
Waramet Pongthong

Abstract

Climate tracking is one of the key missions of the Geo-Informatics and Space Technology Development Agency. Climate is one of the key variables for agricultural land management, including effective yield forecasting. Climate change data is very useful for preparing for the effects of droughts and natural disasters that will affect people's livelihoods. The study on the development of automated basic weather meters to support spatial decision-making from climate change focuses on the prototype of automated low-cost, simple weather meters and the development of integration with computer, mobile and smartphone devices (Internet of Thing), climate data includes temperature, relative humidity, wind speed, wind direction, and precipitation. This information is considered as the basis to be used for risk analysis and predictions of various environmental problems. At present, we have developed weather surveillance equipment and designed an automatic weather station based on mobile signal modules, which are widely available in a variety of places, some of which are expensive and imported from overseas. The development of this automatic basic weather meter can send signals into numerical data. It comprises sensors to measure temperature, relative humidity, wind speed, wind direction and rainfall by transmitting data through a microcontroller processing and control system and then recording and storing it in a database. This includes designing dashboards, assessing risks from preliminary weather data, and storing historical data for analysis in conjunction with other climate models to serve as a better decision support system.

Article Details

How to Cite
Prakobya, A., Meehuathon, S. ., Somkhuan, T. ., Srisamai, N. ., Sawangha, W. ., & Pongthong, W. . (2024). การพัฒนาเครื่องวัดสภาพอากาศพื้นฐานอัตโนมัติ เพื่อรองรับการตัดสินใจเชิงพื้นที่จากการเปลี่ยนแปลงด้านสภาพภูมิอากาศ. Journal of Technology and Innovation Uttaradit Rajabhat University, 6(2), 30–37. retrieved from https://ph03.tci-thaijo.org/index.php/JTI_URU/article/view/1015
Section
Research article