基于光学传感器的成品油识别方法(英文)

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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。 In order to improve the existing testing method of oil products in oil products pipeline, the paper tries to find out the characteristics that reflect the essence of oil products from the nature of oil products to detect and identify oil products. By analyzing the effect of electromagnetic induction on the medium of the changing magnetic field of light and the model of electron cloud conductor established by the energy transfer between light and molecules in the medium, the principle of energy conservation is used to study the propagation and refraction phenomenon of light in the medium. The refractive index of oil and its mixed oil were measured and related calculations. The methods of calculating the refractive index of refined oil and identifying the mixed oil were obtained. The optical sensor receives the Fresnel reflection signal from the contact surface between the probe and the oil and analyzes the interaction between the light and the medium to complete the identification of the oil and the discrimination of different mixed oils with a relative error of <0.02%. The experimental results provide a theoretical basis for the identification and development of oil products. They have certain application prospects in the analysis of the composition of the mixed oil in the transportation of oil products pipeline, inference of the mixed oil state and diffusion process.
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