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A 3D Automatic Modeling Method of Ore Body Based on k-Nearest Neighbor and Poisson Surface

An automatic modeling and K-nearest neighbor technology, applied in the field of geological information, can solve the problems of large randomness of manual boundary delineation, high labor intensity of operators, and difficulty in coping with changes in complex working conditions, so as to save manpower and time, strengthen Social and commercial value, geometric high-quality effect

Active Publication Date: 2022-06-24
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a three-dimensional ore body based on K-nearest neighbor and Poisson curved Automatic modeling methods address the above technical deficiencies

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  • A 3D Automatic Modeling Method of Ore Body Based on k-Nearest Neighbor and Poisson Surface

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Embodiment Construction

[0033] In order to have a clearer understanding of the technical features, objects and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0034] A 3D geological modeling method based on K-nearest neighbor (KNN) and Poisson algorithm, such as figure 1 shown, including:

[0035] Step 1. Extract the required drilling space data and attribute data according to the determined exploration line;

[0036] Step 2: Preprocess the data obtained in step 1, convert each feature of the sample into a standard normal distribution, normalize the data, and obtain a data point set;

[0037] Step 3. According to the data obtained in step 2, determine the modeling space according to the extraction range of the ore body occurrence area;

[0038] Step 4. Input the data point set obtained in step 2 and the modeling space delineated in step 3 to construct a k-d tree;

[0039] Step 5. Use ...

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Abstract

The invention provides a three-dimensional automatic modeling method of ore bodies based on K-nearest neighbors and Poisson curved surfaces, including: extracting the required drilling space data and attribute data according to the determined exploration line; preprocessing the obtained data, and Each feature of the sample is transformed into a standard normal distribution to normalize the data; the k-d tree is constructed using the obtained data; the k-nearest neighbor search is performed on any sample in the modeling space using the constructed k-d tree to determine the current sample The k-nearest neighbor sample of the example; predict the k-nearest neighbor sample of the current sample; obtain the ore body surface point cloud model data; solve the indicator function, extract the isosurface, and finally establish the ore body model.

Description

technical field [0001] The invention relates to the technical field of geological information, in particular to a three-dimensional automatic modeling method for ore bodies based on K-nearest neighbors and Poisson surfaces. Background technique [0002] Three-dimensional geological modeling and its three-dimensional geological body modeling technology are the topological information interpretation and geometric shape determination of ore bodies through geological exploration data. At present, 3D solid modeling methods in geographic space are becoming more and more mature, but the rapid construction of complex models is still an urgent problem to be solved. [0003] According to the principle of model construction, it can usually be divided into explicit modeling and implicit modeling. Explicit modeling is based on the manual interactive delineation of the ore body contour, and realizes the three-dimensional reconstruction of the two-dimensional contour through the contour s...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/05G06T17/20
CPCG06T17/05G06T17/20
Inventor 葛凌安李章林
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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