Transmission spectra based method and device for detecting oil product interfaces in oil pipelines

An oil pipeline and transmission spectroscopy technology is applied in the field of detection of oil product interfaces in oil pipelines, which can solve the problems that oil products cannot be well classified and the refractive index cannot be distinguished, so as to improve the detection precision and accuracy, and judge the oil product interface accurately. , the effect of rich information

Inactive Publication Date: 2010-05-12
JINAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] 2. In the oil pipeline, the oil products of the same brand and different properties cannot be well classified
For example: both are 93# gasoline, but the difference b

Method used

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  • Transmission spectra based method and device for detecting oil product interfaces in oil pipelines
  • Transmission spectra based method and device for detecting oil product interfaces in oil pipelines
  • Transmission spectra based method and device for detecting oil product interfaces in oil pipelines

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] The first metal fastener 31 and the second metal fastener 32 ensure that the geometric distance between the collimating light component and the light-transmitting surface of the light-condensing component is 80 mm, and the third metal fastener 33 ensures that the collimating light component and the light-condensing component pass through. The geometric distance of the light surface is 20 mm, and the fourth metal fastener 34 ensures that the geometric distance of the light-transmitting surface of the collimating light component and the light-condensing component is 4 mm. The metal fastener designed in this way can perform spectral measurement very well, so as to ensure the subsequent precise interface positioning.

[0030] Before the device goes online, build six models, collect 200 domestic finished gasolines of 90#, 93#, 97#, and 98# each, and obtain the spectra of these gasolines in the 700-1000nm band on the device. Using the method of discriminant cluster analysis, ...

Embodiment 2

[0041] Compared with Embodiment 1, the difference of this embodiment is that the six classification models are established in the 1000-2500nm band.

[0042] Before the device goes online, build six models, collect 200 domestic finished gasolines of 90#, 93#, 97#, and 98# each, and obtain the spectra of these gasolines in the 1000-2500nm band on the device. Using the method of discriminant cluster analysis, a gasoline classification model 1 is established. Using the artificial neural network classification method, the gasoline classification model 2 is established. Using the partial least bisecting algorithm of principal component analysis, the gasoline classification model 3 is established.

[0043] Then collect 150 domestic finished diesel oils of 5#, 0#, -10#, -20#, -35#, and -50#, and obtain the spectra of these diesel oils in the 1000-2500nm band on the device. Using the method of discriminant cluster analysis, the classification model 4 of diesel is established. Using ...

Embodiment 3

[0052] The difference between this embodiment and Embodiment 1 is that the six classification models are established in the 2500-5000nm band.

[0053] Before the device goes online, build six models, collect 200 domestic finished gasolines of 90#, 93#, 97#, and 98# each, and obtain the spectra of these gasolines in the 2500-5000nm band on the device. Using the method of discriminant cluster analysis, a gasoline classification model 1 is established. Using the artificial neural network classification method, the gasoline classification model 2 is established. Using the partial least bisecting algorithm of principal component analysis, the gasoline classification model 3 is established.

[0054] Then collect 150 domestic finished diesel oils of 5#, 0#, -10#, -20#, -35#, and -50#, and obtain the spectra of these diesel oils in the 2500-5000nm band on the device. Using the method of discriminant cluster analysis, the classification model 4 of diesel is established. Using the ar...

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Abstract

The invention discloses a transmission spectra based method and device for detecting oil product interfaces in oil pipelines. In the method, the light sent out by a light source module is divided into visible light, near near-infrared light, near-infrared light and intermediate infrared light, all the light irradiates on the flowing oil products by passing through incident optical fibers and collimated light components, then the transmitted light enters a spectrometer module by passing through condensation components and emergent optical fibers, the spectrometer module transfers the measured spectrum intensity data into a control module, after a computation module carries out computation according to the spectrum intensity data, the temperature data, the pressure data, the oil product flow velocity and the calibrated parameters in a calibrated parameter module, the data results are sent back to the control module and the control module sends the data results to a result output module to be displayed. The invention solves the problem of distinguishing the interfaces of the same kind of oil products with different trade names and the oil products with the same trade name but different properties; meanwhile, the invention also solves the problem of distinguishing the interfaces of the environment-friendly oil products and the common oil products.

Description

technical field [0001] The invention relates to a detection technology for an oil interface of an oil pipeline, in particular to a transmission spectrum-based detection method and a device for an oil interface of an oil pipeline. Background technique [0002] In the refined oil transportation process, a pipeline transports multiple oil products, and it is necessary to detect the interfaces of different oil products transported in the pipeline to achieve the purpose of separating different oil products and reducing oil mixing. In the oil pipeline, where the oil is cut directly affects the process switching of the oil into different oil tanks, which is very important to ensure efficient, safe and stable operation. Oil interface monitoring methods used in refined oil pipelines include density method, fluorescent marking method, optical interface detection method, ultrasonic interface detection method, etc. "Application of an Optical Interface Detector on Oil Products Pipeline"...

Claims

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Application Information

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IPC IPC(8): G01F23/292G01N21/25
Inventor 张军陈哲姜黎余谦
Owner JINAN UNIVERSITY
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