<![CDATA[A tornado is a form of extreme weather caused by differences in air pressure and temperature in the atmosphere. This phenomenon can cause loss of life and psychological disorders. To overcome this serious impact, a system that is able to monitor the condition of the surrounding environment in real-time and provide early warning is needed. This research aims to design an Internet of Things (IoT) system for real-time monitoring of wind speed and direction as well as environmental conditions that is effective for providing early warning of natural disasters. Testing and calibration methods were carried out by comparing IoT devices with standard tools. Additional tests were conducted on the anemometer to evaluate the consistency of wind speed at certain heights and at locations adjacent to the coast and some distance from the coast. The results of this IoT device design demonstrate its ability to detect temperature, humidity, air pressure, wind speed, and wind direction, and send real-time data to the monitoring system. This research confirms that the web-based monitoring system is effective in monitoring environmental conditions and sending early warnings when the system detects tornado characteristics.]]>
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