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Real-time gasoline product attribute prediction method based on near infrared spectrum detection

A near-infrared spectrum and near-infrared technology, applied in measuring devices, material analysis through optical means, instruments, etc., can solve problems such as difficult to meet gasoline index requirements, achieve reliable results, improve analysis efficiency, and fast analysis speed

Inactive Publication Date: 2014-04-30
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

Therefore, the traditional formula calculation method of manual trial and error adopted by many refineries has been difficult to meet the increasingly stringent gasoline index requirements

Method used

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  • Real-time gasoline product attribute prediction method based on near infrared spectrum detection
  • Real-time gasoline product attribute prediction method based on near infrared spectrum detection
  • Real-time gasoline product attribute prediction method based on near infrared spectrum detection

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] The following examples of octane prediction serve to illustrate the invention, but are not intended to limit the scope of the invention.

[0024] see Figure 4 , is the flow chart of the method for real-time prediction of gasoline oil properties based on near-infrared spectrum detection in embodiment 1, specifically comprising the following steps:

[0025] Step 1: Collect 100 samples (obtained from gasoline pipeline reconciliation industrial engineering), and randomly divide them into a calibration set and a verification set (the ratio is 4:1 in this example). Among them, the near-infrared spectrum adopts an online near-infrared instrument, and the average value is obtained by scanning 4 times; the spectral scanning range: 1000-1600nm, resolution 1nm, see figure 1 , is the original NIR spectrum of the gasoline. Preferably, the spectral collect...

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Abstract

The invention relates to a real-time gasoline product attribute prediction method based on near infrared spectrum detection. The method comprises the following steps: acquiring a gasoline sample and near infrared spectrum thereof, and measuring the required attribute of the gasoline by using a laboratory method; performing baseline correction on the acquired gasoline spectrum sample by adopting a baseline correction method and selecting proper wavelength range; and finally establishing a mathematic model between an attribute value and the near infrared spectrum for the prediction analysis of the gasoline attribute. The near infrared spectrum of the gasoline sample can be obtained in real time by adopting an online near infrared analyzer; the gasoline product attribute can be predicted in real time, the analysis speed is high, and the signal to noise ratio is high; the method is especially suitable for the online prediction analysis of the gasoline product attribute in a gasoline pipeline blending process.

Description

technical field [0001] The invention relates to a real-time prediction method of gasoline oil product attributes based on near-infrared spectrum detection, and is particularly suitable for online prediction of gasoline oil product research method octane number and motor method octane number attributes. Background technique [0002] Gasoline products are an important source of income for refineries, as 60%-70% of the crude oil in a refinery is ultimately converted to gasoline. Gasoline blending, as the last step in the gasoline production process, is also a crucial link. The quality of the gasoline blending system directly affects the quality of the final product gasoline produced, thus affecting the economic benefits of the gasoline production of the enterprise. How to make full use of existing oil resources to produce more high-quality gasoline at a lower cost is a problem that gasoline blending has been committed to solving. Moreover, with the rapid increase of the number...

Claims

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Application Information

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IPC IPC(8): G01N21/359
Inventor 钱锋程辉杜文莉
Owner EAST CHINA UNIV OF SCI & TECH
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