Raw material oil product molecule characterization method and system based on limit gradient boosting tree model

A gradient boosting tree and model technology, which is applied in the direction of material inspection products, manufacturing computing systems, character and pattern recognition, etc., can solve the problem of difficult characterization of the molecular composition of cracked raw oil products, and achieve fast calculation speed and small generalization error Effect

Pending Publication Date: 2022-08-02
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

[0007] The purpose of the present invention is to provide a molecular characterization method and system for raw oil products based on the limit gradient boosting tree model, so as to solve the problem that the molecular composition of cracked raw oil products is difficult to characterize in the prior art

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  • Raw material oil product molecule characterization method and system based on limit gradient boosting tree model
  • Raw material oil product molecule characterization method and system based on limit gradient boosting tree model

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[0076] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the invention, but not to limit the invention.

[0077] Simulations of feedstock cracking reactions are usually performed by soft sensing methods. Soft sensing method is widely used in modern process control technology because of its real-time, high efficiency and accuracy.

[0078] With the vigorous development of machine learning, more and more diverse machine learning models are applied to prediction and monitoring in process control, and many methods such as artificial neural network, linear regression, maximum Shannon entropy, regression decision tree, etc. are applied to cracking In the reaction simulation of the process of producing ethylene fro...

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Abstract

The invention relates to the technical field of raw material oil product analysis, in particular to a raw material oil product molecular characterization method and system based on a limit gradient boosting tree model. The method comprises the following steps: S1, selecting an input feature vector from macroscopic physical property parameters according to preparation process characteristics, and selecting an output feature vector from phase components; s2, preprocessing the initial preparation process data set; s3, dividing into a training set, a verification set and a test set according to a specified proportion; s4, constructing a raw material oil product molecular characterization model based on a limit gradient boosting tree model; s5, obtaining a raw material oil product molecular characterization model conforming to the evaluation index; and step S6, carrying out molecular characterization on the raw oil product in the preparation process. The limit gradient lifting tree is adopted as a model, the prediction precision is high, and the calculation speed is high.

Description

technical field [0001] The invention relates to the technical field of raw oil product analysis, and more particularly, to a method and system for molecular characterization of raw oil products based on a limiting gradient lifting tree model. Background technique [0002] Ethylene industry is the core of petrochemical industry. Ethylene products account for more than 75% of petrochemical products and play an important role in the national economy. It is regarded as one of the symbols to measure the development level of a country's petrochemical industry. In addition, as an important raw material for synthetic fibers, synthetic rubber, synthetic plastics and other materials, ethylene is closely related to our production and life. [0003] In the actual production process, the raw materials for cracking to produce ethylene come from a wide range of sources, and the composition of different raw materials is very different. Since the composition of the feedstock has a decisive ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G01N33/28G06F119/02
CPCG06F30/27G01N33/2823G06F2119/02G06F18/214Y02P90/30
Inventor 钟伟民杜文莉钱锋彭鑫田洲段兆阳
Owner EAST CHINA UNIV OF SCI & TECH
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