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METHOD AND SYSTEM FOR PREDICTION AND MITIGATION OF SPONTANEOUS COMBUSTION IN COAL STOCK PILES

机译:煤炭桩中自发燃烧预测和减轻的方法和系统

摘要

A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.
机译:描述了一种用于预测与煤股桩相关的条件的方法。该方法包括收集包括一个或多个煤桩的网站的空中数据。使用空中数据,该方法包括执行站点的本地化以识别煤层桩的边界并提取多光谱特征。该方法还包括从至少一个数据源获得与煤储备相关联的附加数据并利用附加数据合并空中数据。使用合并的数据和提取的多光谱特征,该方法包括通过预测模块​​分析煤层桩的状态,以预测即将发生的燃烧事件或与煤炭桩相关的严重条件中的至少一个。响应于预测的至少一种即将发生的燃烧事件或严重状况,该方法包括实现响应。

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