Sample classification method

Abstract

The invention discloses a sample classification method. The sample classification method comprises the following steps that S1, a system and a connection relation are built, and the system comprises amain control module, a raw material classification module, a sample classification module, a classification and comparison module and an automatic conveying module; S2, samples are classified throughthe system, according to the classification mode of the raw material classification module, raw materials are classified into a metal material, a non-metal material and a composite material accordingto principal elements, the metal material is classified into metals and compounds in IA-VIA, IB-VIIB and VIII groups according to the periodic table of elements, the non-metal material is classifiedinto an inorganic material and an organic material, and the composite material is classified into a structural composite material and a functional composite material; the application field of the sample classification module is classified into the new material field, the new energy resource field, the energy saving and environment protection field, the high-end equipment manufacturing field, the newly-developing information industry field and the like; S3, the samples are inspected after being classified; and S4, automatic conveying is conducted. According to the sample classification method,the physical property and application of the various raw materials and the samples can be classified conveniently, errors can be adjusted in time, and the sample classification efficiency and the sample search efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of sample classification, in particular to a sample classification method. Background technique [0002] Science and technology is a key factor to promote the development of human society. Scientific and technological activities involve the use of a large number of samples. At present, a scientific, reasonable, fast and efficient method for classifying samples has not yet been formed. The present invention relates to the technical field of sample classification, in particular to a sample classification method, which can efficiently and quickly enter, inquire and search sample names to accurately display the sample category and verify whether it is consistent with the self-description of the sample, thereby It is convenient to quickly identify samples for demanders, and quickly realize the mutual sharing of sample information. The current online sample method involves professional limitations, unclear classi...

AI Technical Summary

Problems solved by technology

The current online sample method involves professional limitations, unclear classification and inaccurate name entry, which greatly increases the time and difficulty of query and search, is time-consuming and labor-intensive, increases manual labor intensity, and is prone to errors, affecting sample entry, query and Search efficiency, there are certain limitations in actual operation

Images