Improved support vector machine-LIBS (laser-induced breakdown spectroscopy) combined sorting method for steel materials

Abstract

The invention discloses an improved support vector machine-LIBS (laser-induced breakdown spectroscopy) combined sorting method for steel materials. The method comprises the steps of detecting a series of rolled steel samples with known marks with an LIBS system to obtain data matrixes of the rolled steel with different marks, and utilizing a support vector machine to establish a sorting model on the known category data, wherein in the modeling process, an improved modeling method, namely combined modeling is used; after data of the sample to be measured is input to the model, performing fuzzy classification with a one-to-many method, screening candidate categories, and performing sophisticated classification by a one-to-one method, and finally determining the category of the data to be measured. According to the method, the one-to-many and one-to-one modeling methods are combined for use, and advantages of the methods are fully utilized, so the data to be measured can be subjected to two layers of analyzing systems of the fuzzy classification and the sophisticated classification, the influence of useless category information on a prediction process is reduced, the prediction accurate rate can be obviously improved and the calculating cost is reduced.

Description

technical field [0001] The invention relates to an improved support vector machine combined with a laser-induced breakdown spectrum classification method for iron and steel materials. Specifically, the improved support vector machine classifies steel samples based on the laser-induced breakdown spectrum, and belongs to the technical field of spectral analysis. Background technique [0002] As an important raw material for many basic industries such as industry and agriculture, steel has a huge demand. There are many kinds of grades, and the components and uses of different types of steel are very different, but the specifications and sizes are mostly similar. It is difficult to quickly identify steel with different grades on the spot with the naked eye and experience. In places where a large amount of steel is hoarded, such as steelmaking enterprises, steel markets, and import and export terminals, confusion is inevitable due to the variety of products. In addition, due to ...

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Problems solved by technology

In addition, due to the different production processes and sources of raw materials of different manufacturers, even products with the same label will have different components and performance.

Traditional analysis methods require samples to be analyzed and tested in the laboratory. The steps are very cumbersome, the detection time is long, and the rapid online detection task cannot be completed. At this time, an on-site detection technology that can quickly and accurately identify the steel type and composition information is needed.

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