Selection method for near infrared spectrum modeling samples

A near-infrared spectroscopy, sample-like technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of poor model performance and high model maintenance costs, reduce singular points, improve accuracy and robustness Effect

Inactive Publication Date: 2014-04-16
EAST CHINA UNIV OF SCI & TECH
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when establishing a near-infrared spectrum model, a large number of sampling tests are required, and the maintenance cost of the model is very high; and in the actual use of the model, the performance of the model will deteriorate due to changes in working conditions, which requires a lot of manpower and material resources to maintain Model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Selection method for near infrared spectrum modeling samples
  • Selection method for near infrared spectrum modeling samples
  • Selection method for near infrared spectrum modeling samples

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0018] see image 3 , a flow chart of the method for selecting samples for near-infrared modeling, including the following steps:

[0019] According to Beer's law (A=εbC, A is the absorbance, ε is the molar absorption coefficient of the component to be measured, C is the concentration of the component to be measured) for a certain ε (for light and matter of a certain wavelength), C-A can be determined. Linear relationship, so it is possible to build a gasoline octane spectral model

[0020] Ron=a 1 x 1 +a 2 x 2 +...+a n x n (xi is the absorbance corresponding to each wavelength, a i is the regression coefficient, Ron is the research octane number)

[0021] Step 1, the near-infrared spectrum of this embodiment is obtained by an online near-infrared analyzer, and the scanning range of the instrument is 1000-1600 nm. In order to reduce the influence...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a selection method for near infrared spectrum modeling samples. According to the selection method for the near infrared spectrum modeling samples, during a blending process, when near infrared spectrums of new gasoline samples are obtained, a plurality of similar samples are selected from an existing gasoline sample spectrum bank through similarity distance to construct an initial training set; performing dimension reduction on the above training set through a principal component analysis method, confirming the optimal principle components and then removing singular points through a T2 statistics method; adopting an appropriate modeling method after confirmation of the training sample set to construct a near infrared spectrum model to perform quantitative analysis on the gasoline samples. The selection method for the near infrared spectrum modeling samples has the advantages of effectively reducing the singular points simply caused by similar distance selection and improving the accuracy and the robustness of the near infrared spectrum model due to the fact that the Hotelling T2 statistics are introduced into the training sample set selection, providing evidence for online modeling and being benefited to change the current situation that the near infrared model during the gasoline blending process cannot be updated in real time.

Description

technical field [0001] The invention relates to a method for selecting near-infrared spectroscopy modeling samples in the process of using near-infrared spectroscopy to determine gasoline properties online. Specifically, it is a method that uses statistical methods to select samples from a sample library in real time to establish a training set. Background technique [0002] The development of the automobile industry and the urgency of energy saving and environmental protection are driving the replacement of gasoline products. In order to meet the new gasoline oil specifications, improve product quality and reduce energy consumption; major refineries widely use oil online blending technology to upgrade the traditional tank blending technology. [0003] The octane number of gasoline is an important indicator to measure the properties of gasoline, and its size directly affects the quality of gasoline for vehicles. In the process of gasoline blending, increasing gasoline octa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 钱锋程辉杜文莉
Owner EAST CHINA UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap