GBRT-based method for forecasting reaction property of solid fuel during chemical chain process

A solid fuel and reaction performance technology, applied in chemical analysis, machine learning, instrumentation, etc. using combustion, can solve problems such as difficulty in obtaining, high data, inapplicability, etc., to achieve the effect of saving time and continuous characteristic data
CN110824099AActive Publication Date: 2020-02-21SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHEAST UNIV
Publication Date
2020-02-21

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Abstract

The invention relates to method for forecasting reaction property of a solid fuel during the chemical chain process. The method comprises the steps of (1) collecting data by solid fuel chemical chainexperiment study; (2) organizing the data to obtain a training sample and a test sample; (3) training the training sample by a gradient boosted regression tree model; and (4) forecasting reaction property of the solid fuel during the chemical chain process. A result is forecasted by traversing data combinations, and a corresponding chemical chain working condition parameter is obtained according to demands of different chemical chain technologies; compared with the prior art, the method has the advantages that the reaction properties of various solid fuels during the chemical chain process areforecasted by the gradient boosted regression tree model, the experiment number is substantially reduced, and labor and material are greatly saved; and moreover, the fuel conversion rate during the chemical chain process is favorably, intuitively and quantitatively forecasted, and the method has an important significance to optimization of the chemical chain process.
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Description

technical field

[0001] The invention relates to a method for predicting the reaction performance of a solid fuel in a chemical chain process, in particular to a method for predicting the reaction performance of a solid fuel in the chemical chain process based on a gradient boost regression tree model (ie Gradient Boost Regression Tree, abbreviated as GBRT). , which belongs to the technical field of chemical chain combustion. Background technique

[0002] The chemical chain technology mainly includes chemical chain combustion and chemical chain gasification. During the process, the fuel is not in direct contact with air, but alternately circulates between two reactors through an oxygen carrier to achieve oxygen transfer. Chemical chain combustion can achieve CO without additional energy consumption 2 Internal separation, chemical chain gasification uses oxygen carrier instead of pure oxygen to gasify solid fuel, reducing operating costs, and oxygen carrier has the function o...

Claims

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