Substance part analysis method and system

Abstract

The invention provides a substance part analysis method and system. The method comprises the steps: detecting a plurality of samples of a target object, and obtaining two-dimensional matrix data; decomposing the two-dimensional matrix data through a preset algorithm along a target dimension to obtain a decomposition coefficient, the preset algorithm being an algorithm capable of generating a new data dimension, and the target dimension being a dimension capable of performing continuous transformation; expanding the two-dimensional matrix data according to the decomposition coefficient to obtain three-dimensional matrix data; and performing data decomposition on the three-dimensional matrix data to obtain parts of the target object. The embodiment of the invention provides a substance partanalysis method and system. Original two-dimensional matrix data are obtained through sample detection, the original two-dimensional matrix data are expanded through a preset algorithm to obtain three-dimensional matrix data, and a unique decomposition result can be obtained through decomposition of the three-dimensional matrix data, so that parts of a target object can be determined.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a material component analysis method and system. Background technique [0002] The development of machine learning has promoted the rise and prosperity of data mining in fields such as chemistry, biology and medicine. The current data acquisition methods can be mainly divided into zero-order, first-order, second-order, etc., which respectively represent the time scalar, vector, and two-dimensional matrix of the detection results of a single sample. Instruments based on multi-channel and multi-techniques can even collect higher-dimensional data for a single sample. For instances of scalar data collection for a single sample, univariate regression or standard curve methods are usually used, such as the determination of pH value. For the instance of single sample acquisition vector, the method of multivariate correction is usually adopted. In the case of collecting two-di...

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Problems solved by technology

[0004] The embodiment of the present invention provides a material component analysis method and system, which is used to solve the defect that the data decomposition results in the prior art are not unique, and realize material component analysis, including quantitative analysis, qualitative analysis, structure identification, etc.

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