METHOD, SYSTEM AND CONTROL SYSTEM FOR DETECTING AND FORECASTING FOG BASED ON UBIQUITOUS SENSOR NETWORK AND SEMANTIC TECHNOLOGY

摘要

PURPOSE: real-time mist situation simultaneously predicts method for sensing, system and its control system, and offer prevents contingency from passing through mist. ;CONSTITUTION: meteorological data detects and predicts that target area, the target area of visibility distance, and weathering information, in target area, are stored and collect in weather server in collection step from an AWS by data relevant to weather, including mist. Misty state is to be input to risk class and high risk rank by classification prediction stable state, is existed by input cloud, rainfall, monsoon intensity, relative humidity, the misty state prediction steps of cloud layer mist formation sensing algorithm data source. A kind of current weather state and the detection of prediction mist state mist and prediction target area are transferred to portable terminal in transfer step. ;The 2013 of copyright KIPO submissions;The region (regardless of whether Meteorological Center notice is therefore cloudy) of [Reference numerals] (AA) with the presence or absence of mist; (BB) rainfall trace (today for checking whether it rains or snow front and back); (CC) monsoon intensity (7m/s); Relative humidity (DD)=90%; Cloud amount (EE), either small (cloud amount whether there is some AWS) related information; Relative humidity (FF)=95%; (GG) check whether visibility and dew-point temperature include (when be morning or high noon)