A classification method for iron and steel materials combined with laser-induced breakdown spectroscopy

Abstract

The invention discloses a method for quickly identifying and classifying steel materials based on a support vector machine combined with laser-induced breakdown spectroscopy. First, a series of steel samples of known grades are detected through a LIBS system to obtain steel data matrices of different grades. Use the support vector machine to establish a classification model for the known category data. In the modeling process, an improved modeling method-combined model is used. When the sample data to be tested is input into the model, it is first fuzzy classified by the one-to-many method , to screen out the candidate categories, and then finely classify them through the one-to-one method to finally determine the category of the data to be tested. This method combines the traditional one-to-many and one-to-one modeling methods, and makes full use of the advantages of the two, so that the data to be tested can pass through the two-layer analysis system of fuzzy classification and fine classification, reducing the impact of useless category information on the prediction process. impact, thereby significantly improving the prediction accuracy and reducing the computational cost.

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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