Particulate matter emission from the combustion of fossil fuels is a major concern due to its harmful effects on human health and impact on engine performance. Measurement of the smoke point of these fuels is a key issue in order to assess the tendency of fuels to generate particulate matter. Although certain commercial devices for measuring the smoke point are available, they are very expensive and their precision can still be improved. This paper proposes a novel low-cost device to achieve precise and repetitive smoke point measurements. It is based in an improved image processing algorithm that reduces the measurement error compared to previously developed methods. The device design allows easy adaptation to the smoke point lamp normalized in the American Society for Testing and Materials (ASTM) D1322, without any modification to the lamp.

中文翻译：

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一种新型设备，可无创调整ASTM D1322标准化灯，自动确定烟点

由于化石燃料燃烧对人体健康的有害影响和对发动机性能的影响，因此燃烧化石燃料排放的颗粒物是一个主要问题。为了评估燃料产生颗粒物的趋势，测量这些燃料的烟点是一个关键问题。尽管可以使用某些用于测量烟点的商用设备，但是它们非常昂贵，并且仍可以提高其精度。本文提出了一种新颖的低成本设备，可实现精确且重复的烟点测量。它基于改进的图像处理算法，与以前开发的方法相比，该算法减少了测量误差。该设备设计可轻松适应美国测试与材料协会（ASTM）D1322标准化的烟点灯，而无需对灯进行任何修改。