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Fiber Optic Sensors Materials based Spontaneous Combustion Detection in Goaf Areas

机译:光纤传感器材料基于GoF区域的自发燃烧检测

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The main objective of this paper is to provide a possible monitoring system, which includes multiple sensors such as fiber optic temperature sensor, gas sensor and differential absorptive methane optic fiber sensor. Optic fiber sensors offer a number of unique advantages for safety monitoring in explosive and hazardous environment of the underground coal mines. The application potential and future trend of optic fiber sensors for coal mine hazard detection and prevention are discussed. This paper also researches on the prediction methodologies such as spontaneous combustion tendency prediction method, factors judgment prediction, experience statistical prediction method and mathematical models based on coal layer conditions, mining methods, and goaf areas. The combination uses of fiber optic sensors and prediction models are helpful to increase the safety of coal mines.
机译:本文的主要目的是提供一种可能的监控系统,包括多个传感器,如光纤温度传感器,气体传感器和差动吸收甲烷光纤传感器。 光纤传感器为地下煤矿的爆炸性和危险环境中提供了许多独特的安全性。 讨论了煤矿危害检测和预防光纤传感器的应用潜力和未来趋势。 本文还研究了自发燃烧趋势预测方法,因素判断预测等预测方法,基于煤层条件,采矿方法和流脱区域体验统计预测方法和数学模型。 光纤传感器和预测模型的组合使用有助于提高煤矿的安全性。

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