A Precise TIN Clipping Algorithm for Digital Mining Design of the Open-pit Coal Mine

Mapping Intimacies ◽

10.21203/rs.3.rs-37339/v1 ◽

2020 ◽

Author(s):

Jingchang Zhao ◽

Fei Gao ◽

Guangwei Liu ◽

Dong Wang

Keyword(s):

Coal Mine ◽

Open Pit ◽

Grid Index ◽

Mining Design ◽

The One ◽

Local Detail

Abstract TIN clipping algorithm is one of the basic algorithms for digital mining design of open-pit coal mine based on TIN model. In this paper, a precise TIN clipping algorithm for digital mining design of open-pit coal mine is proposed. Based on the constructed grid index of the clipped TIN and the clipping polygon, the clipping polygon is embedded into the clipped TIN by interpolating the vertex elevation of the clipping polygon and calculating its intersections with the clipped TIN. Then, according to the reconstructed topology of the TIN triangles located inside (outside) the clipping polygon, generate the boundary of those two triangles set, and construct the TIN between the boundaries using the one-time edge-prior CDT growth algorithm, thus , achieve the precise TIN clipping keeping the clipped TIN’s local detail features. The experiment results show that the algorithm proposed in this paper is efficient, stable in performance, and it has been applied to the digital mining design of the open-pit coal mine.

Download Full-text

Key ecological aspects of coal mining technology (in terms of the Bureya open pit coal mine)

MINING INFORMATIONAL AND ANALYTICAL BULLETIN ◽

10.25018/0236-1493-2020-1-0-15-25 ◽

2020 ◽

Vol 1 ◽

pp. 15-25

Author(s):

Yu.A. Ozaryan ◽

◽

Yu.A. Vasyanovich ◽

Keyword(s):

Coal Mining ◽

Coal Mine ◽

Open Pit ◽

Mining Technology ◽

Ecological Aspects

Download Full-text

Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”

Energies ◽

10.3390/en14113200 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3200

Author(s):

Branimir Farkaš ◽

Ana Hrastov

Keyword(s):

Decision Making ◽

Multiple Criteria Decision Making ◽

Open Pit ◽

Design Solution ◽

Mine Design ◽

Promethee Ii ◽

Mining Design ◽

Quarry Mine ◽

Selection Of

Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact.

Download Full-text

Assessment of the Underground Water Contaminated by the Leachate of Waste Dump of Open Pit Coal Mine Based on RBF Neural Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.599.272 ◽

2012 ◽

Vol 599 ◽

pp. 272-277 ◽

Cited By ~ 1

Author(s):

Zhi Bin Liu ◽

Xiao Wei Yang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Coal Mine ◽

Comprehensive Evaluation ◽

Rbf Neural Network ◽

Training Sample ◽

Underground Water ◽

Open Pit ◽

Waste Dump

This paper used RBF artificial neural network to evaluate the underground water contaminated by the leachate of waste dump of open pit coal mine of Xinqiu in Fuxin. Firstly, with the advantages of neural network method in dealing with nonlinear problem, the RBF neural network model was built. Then, the normalized standard matrix was taken as training sample and the MATLAB software was used to train the training sample. Finally, the monitoring data were taken as test samples and were inputted in the RBF neural network model to evaluate the groundwater quality of study area. At the same time, the concept of degree of membership was adopted in the result making it more objective and accurate. The result shows that the ground water of this mining is seriously polluted, class of its pollution is Ⅳ-Ⅴ.The method with strong classification function and reliable evaluation results is simple and effective, and can be widely applied in all kinds of water resources comprehensive evaluation.

Download Full-text