Black ice prediction and prevention alarm system

ISSN: 22783075
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Abstract

The system which is able to not only predict road freezing condition in advance and but also inform that is proposed in this study. The composed hardware to measure weather are microprocessor, temperature sensor, humidity sensor, atmospheric pressure sensor, precipitation sensor, LTE modem, solar cell panel and its controller, and battery. In addition to, there are software for forecasting freezing located in a specific area where devices to detect data such as temperature, humidity, atmospheric pressure, and road temperature are installed for the purpose of not only transmitting their data but also data storage through wireless internet modem. Real-time monitoring and an algorithm for forecasting freezing make it possible to predict freezing by utilizing the accumulated data. Freezing on road can be occurred according to bigger humidity, big difference of humidity as well as of atmospheric pressure. The measurement of atmospheric temperature as well as road temperature, atmospheric pressure and humidity is conducted by the proposed system in this study. The relationship between a changing weather data in the past winter seasons during from 15th November to 31th March and the amount of precipitation included a snowfall is grasped to digitize. Present weather information is applied by not only detecting the phenomenon to show changing at constant humidity, atmospheric pressure, and temperature but also calculating a precipitation probability in case of this reiteration phenomenon or particularly higher humidity as well as particularly lower atmospheric pressure to grasp of relations with precipitation. The proposed system is composed up four steps such as good, concern, caution, and warning through forecasting freezing time from 3 hours ago. Therefore, it is possible not only to forecast freezing hazard up to 70% due to frozen rain but also to use snow-removing work prepared in advance as well as weather information aids by forecasting freezing.

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APA

Bang, G. W., & Kim, Y. H. (2019). Black ice prediction and prevention alarm system. International Journal of Innovative Technology and Exploring Engineering, 8(8), 398–404.

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