为了改进现有的成品油管道油品检测方法,从油品介质的本质出发,寻找能够体现油品本质的特征来检测和识别成品油。通过分析光的变化磁场的电磁感应对介质的作用以及光在介质分子间能量传递过程建立的电子云导体模型,运用能量守恒原理对光在介质中的传播以及折射现象进行了研究,对不同成品油及其混油的折射率进行测量及相关计算,得到了计算成品油折射率和识别混油的方法。通过光学传感器接收探头与油品接触面的菲涅尔反射信号,分析光与介质的相互作用,从而完成对油品的识别以及对不同混油的区分,相对误差<0.02%。实验结果为油品的识别和开发研究提供了理论依据,在分析成品油管道运输中混油的成分、推断其混油状态、扩散过程等方面有一定应用前景。

To improve the existing method to detect the product oil in pipeline sequence transportation, it is necessary to set a new method for product oil identification and detection based on the characteristics that reflect the quality of oil. This paper researches a optical sensor and a new method for product oil identification and mixed oil distinguish and calculates the light intensity of the Fresnel reflection occurred at the interface between the product oil and a measuring probe. The product oil and oil mixtures are analyzed by using the principle of energy conservation and the inductor model of an electron cloud . Using the optical sensor, the product oils can be identified exactly, and different oil mixtures can be distinguished from each other successfully in a relative error less than 0.02%. The experimental results provide a theoretical basis for the identification of product oil,which shows that the proposed optical sensor has a great application prospect in analyzing the compositions of oil mixtures and predicting the mixing and diffusing conditions of oil transported in product pipelines.