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首页> 外文会议>International Conference on Applications and Techniques in Cyber Intelligence >Design of Smoke Detection Algorithm Based on UV Spectroscopy
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Design of Smoke Detection Algorithm Based on UV Spectroscopy

机译：基于紫外光谱的烟雾检测算法设计

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The difficulty of using ultraviolet spectroscopy to measure the harmful components of flue gas is that the gases have mutual interference and their characteristic absorption peaks also interfere with each other. In this paper, we propose a cyclic iterative algorithm to solve the problem of mutual interference between gases by using Lambert-Beer's law and absorbance. The algorithm uses different UV-light wavelengths at 190 nm-290 nm for different characteristics of UV light with different absorption peaks. The iteration is repeated until the concentration difference between adjacent two gases is less than a certain value. It is considered that the elemental gas The exact concentration, and through the programming to achieve the results. The experimental results show that the algorithm can calculate the actual exact concentration of various simple gases in the mixed gas, and the accuracy error does not exceed 3%. The actual gas detection requirements can be met.
机译：使用紫外光谱法测量烟道气有害成分的难度是气体具有相互干扰，并且它们的特征吸收峰也相互干扰。在本文中，我们提出了一种循环迭代算法来解决气体与兰伯特 - 啤酒的法律和吸光度的相互干扰问题。该算法在190nm-290nm处使用不同的UV光波长，针对具有不同吸收峰的UV光的不同特性。重复迭代，直到相邻的两个气体之间的浓度差小于一定值。认为是元素气体精确浓度，并通过编程来实现结果。实验结果表明，该算法可以计算混合气体中各种简单气体的实际精确浓度，并且精度误差不超过3％。可以满足实际的气体检测要求。

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