• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied optics >Neural-network-based spatial light-scattering instrument for hazardous airborne fiber detection
【24h】

Neural-network-based spatial light-scattering instrument for hazardous airborne fiber detection

机译：基于神经网络的空间光散射仪，用于危险性机载纤维检测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A laser light-scattering instrument has been designed to facilitate the real-time detection of potentially hazardous respirable fibers, such as asbestos, within an ambient environment. The instrument captures data relating to the spatial distribution of light scattered by individual particles in flow by use of a dedicated multielement photodiode detector array. These data are subsequently processed with an artificial neural network that has previously been trained to recognize those features or patterns within the light-scattering distribution that may be characteristic of the specific particle types being sought, such as, for example, crocidolite or chrysotile asbestos fibers. Each particle is thus classified into one of a limited set of classes based on its light-scattering properties, and from the accumulated data a particle concentration figure for each class may be produced and updated at regular intervals. Particle analysis rates in excess of 10↑(3)/s within a sample volume flow rate of 1 I/min are achievable, offering the possibility of detecting fiber concentrations at the recommended maximum exposure limit of 0.1 fibers/ml within a sampling period of a few seconds. # 1997 Optical Society of America
机译：已经设计了激光散射仪，以促进在周围环境中实时检测潜在危险的可吸入纤维，例如石棉。该仪器通过使用专用的多元素光电二极管检测器阵列来捕获与单个粒子在流动中散射的光的空间分布有关的数据。这些数据随后用人工神经网络进行处理，该人工神经网络先前已被训练以识别光散射分布内的那些特征或图案，这些特征或图案可能是所寻求的特定颗粒类型的特征，例如青石棉或温石棉石棉纤维。 。因此，根据每个粒子的光散射特性，将其分类为一组有限的类别中的一个，并且可以从累积数据中以规则的间隔生成和更新每个类别的粒子浓度图。样品体积流速为1 I / min时，可以达到超过10↑（3）/ s的颗粒分析速率，从而有可能在建议的最大采样暴露极限下以0.1根/ ml的浓度检测纤维浓度。几秒钟。 ＃1997美国眼镜学会

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号