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Mineral detection method and device

A detection method and mineral technology, applied in forecasting, geophysical measurement, instruments, etc., can solve the problems of high subjectivity in time consumption selection, low accuracy, large space consumption, etc., achieving good generalization and promotion ability, and fewer samples , the effect of strong generalization ability

Inactive Publication Date: 2019-09-20
CHINA UNIV OF GEOSCIENCES (BEIJING)
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AI Technical Summary

Problems solved by technology

[0007] For this reason, the embodiment of the present invention provides a mineral detection method and device to solve the detection problems caused by the large space consumption and time consumption of the nonlinear SVM algorithm in the prior art and the strong subjectivity of the selection of kernel functions and parameters. Low efficiency, low accuracy, etc.

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  • Mineral detection method and device
  • Mineral detection method and device

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Embodiment Construction

[0029]The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] see figure 1 It is a block diagram of a mineral detection method provided by Embodiment 1 of the present invention, comprising the following steps:

[0031] Analyze the type of deposits in the area to be explored, and obtain the metallogenic model of the area;

[0032] Inputting geological information, remote sensing information and the geochemical information into the metallogenic model ...

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Abstract

The embodiment of the invention discloses a mineral product detection method, which is characterized by comprising the following steps of: analyzing the ore deposit type of an area to be detected to obtain an ore-forming model of the area; inputting geological information, remote sensing information and geochemical information into the mineralization model to obtain characteristic information; and optimizing the feature information by adopting an interpolation algorithm and a factor analysis algorithm to obtain an evidence layer; carrying out classification prediction on the feature information by adopting a pre-trained support vector machine model to obtain a mineralization detection map. According to the method, calculation of an evidence layer is adopted, so that few samples are needed for prediction, and the method conforms to the actual geological conditions with few known mine points during mineralization prediction; by combining a kernel function, data dimension conversion can be carried out, the solving difficulty of a high-dimensional space problem is reduced, and the calculation rate is increased; and based on a structural risk minimization principle, an over-learning problem is avoided, and the generalization capability is high.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of mineral detection, in particular to a mineral detection method and device. Background technique [0002] In the process of modernization, the insufficient supply of resources has become a major bottleneck for the country's sustainable development, and gold resources are the top priority. Gold is not only a symbol to measure a country's economic strength and payment ability, but also has a wide range of industrial uses. Gold resources are the basis for the development of gold production, and all countries in the world attach great importance to the exploration and mining of gold mines. The northern margin of the North China Plateau is relatively rich in gold resources, with about 900 ore spots and a reserve of about 900 tons, accounting for about 20% of my country's gold reserves. The Jining shallow coverage area is located in the Wulashan-East Daqing section on the northern mar...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G01V9/00
CPCG01V9/00G06Q10/04G06Q50/02
Inventor 张宏睿
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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