ice detector embedded system design

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It is often referred as “black ice” as the asphalt surface still looks black [4]. The refreezing of melted snow on the road surface can occur at the beginning of the ...
ICE DETECTOR EMBEDDED SYSTEM DESIGN Mohamed Marouf, Ivan Popović, school of electrical engineering, University of Belgrade, [email protected] Abstract – In this paper we analyze an ice detection algorithm and introduce its implementation on embedded platform. Algorithm defines road conditions according to the possibility of ice formation on road surfaces. Calculation model is based on road, air, dew-point temperature, and relative humidity measurement. The dew-point calculation method is selected according to algorithm accuracy requirements. 1. INTRODUCTION In this paper we are trying to highlight one of the most important meteorological hazards affecting road users and their safety which is ice. The problem of ice formation is not limited to the ice existing on the roads but also affect in high degrees on the airplane flights as well as on the wind-power turbines and other vital areas. Although icing occurs under conditions which are generally well understood and often, with some degree of accuracy, possible to forecast, the reduction of the threat of the ice-related accidents still remain the key issue for the national road directorates. In order for ice to be formed on the road surface Temperatures near and below 0°C as well as the presence of water (moisture) on the surface of the road are required. Frost can occur during cold and clear nights at low wind conditions. When the road temperature and dew point temperature are above the freezing, then the water in a liquid phase will form on the surface. When the temperature is below freezing, then the frost accumulating slowly will form on the road instead. These situations are more common in a moist atmosphere, and such conditions are more often seen after precipitation or near water objects. For example, Fog will often form during cold and clear nights when the temperature decreases to the dew point temperature. Since fog consists of liquid water in large amounts, the passage over the driving lanes of the road, having a temperature of the surface below freezing, will lead to a relatively fast (even in a few minutes) formation of ice on the road surface. The freezing of rain can occur when there is a layer of below-freezing air near the road surface with warmer air aloft. Rain will fall into the cold layer and it will be cooled to temperatures below freezing, and it will remain as a liquid. When the rain reaches the road surface, it will freeze almost immediately. It is often referred as “black ice” as the asphalt surface still looks black [4]. The refreezing of melted snow on the road surface can occur at the beginning of the winter season or after the warm weather period. Different observational studies were done to study the influence of dew-point temperature, temperature of the road and of course the temperature of ambient air on ice formation. One of these studies are published in [4] where

the Evaluation of the road icing conditions in road network was conducted based on observational data (road surface, air and dew point temperatures) from the road stations. 2. SUGGESTED ALGORITHM FOR ICE DETECTION Hence, according [4] in order to detect ice we need to determined accurate values of Td (temperature of dew point) Ts (temperature of street and Ta (temperature of ambient air). Cases with the road surface temperature, Ts of less than (or equal) +1°C and 0°C were assigned to the “warning” situations. Such situations do not necessarily result in formation of icing conditions on the roads, but these are the first signs of a potential likelihood that the icing formation can take place. The other important cases to be dealt with are firstly those with Ts is less than zero and at the same time it is comparable with the dew point temperature; and secondly those when the Ts is also less than zero and at the same time the air temperature and the dew point temperature are almost the same (with a difference of less than ±0.1°C) [4]. These two situations are the most dangerous situations and will be called in our algorithm as “red alert” situations, where there is the highest probability of icing formation. The last important cases are those with road surface temperature, Ts less than +2°C which are initial signs of likelihood that the warning situation can take place. Those cases will be called “pre-warning” situations. START

Finding Td Ts Ta

Ts=