Extracting information from drill data

被引：0

作者：

Yin, K. ^{[1
]}

Liu, H. ^{[1
]}

Yang, H. ^{[1
]}

机构：

[1] College of Natural Resources, University of Minnesota, 322C Kaufert Laboratory, 2004 Folwell Ave., St. Paul, MN 55108, United States

来源：

| 2000年 / shers卷 / 04期

关键词：

Blasting - Design - Mining - Optimization - Rocks - Statistical methods - Strength of materials;

D O I：

10.1080/13855140009408064

中图分类号：

学科分类号：

摘要：

This paper is concerned with processing, analyzing and interpretating drill data. By converting the large amount of raw data into meaningful and manageable information, we aim to provide operators and mine engineers with timely advisable process-management decisions. Using multivariate statistical projection method, we have been able to extract two latent factors to illustrate the drilling process; and have developed a series of maps as easy-to-understand visual frameworks for collecting, organizing, displaying and evaluating data. Results of this research have the potential to increase productivity and to reduce production cost by improved blast design and optimized drilling processes.

引用

共 50 条

[31] A Technique for Extracting User Specified Information from Streaming Data
Chanda, Bannya
Majumdar, Shikharesh
2021 INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (SPECTS), 2021,
[32] Extracting structural information from protein powder diffraction data
Camus, Fabrice
Besnard, Celine
Fleurant, Marc
Margiolaki, Irene
Wright, Jonathan P.
Pattison, Phil
Schiltz, Marc
ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2006, 62 : S232 - S232
[33] Extracting origin destination information from mobile phone data
White, J
Wells, I
ELEVENTH INTERNATIONAL CONFERENCE ON ROAD TRANSPORT INFORMATION AND CONTROL, 2002, (486): : 30 - 34
[34] Data processing for spectrum-images: extracting information from the data mountain
Prutton, M
Wilkinson, DK
Kenny, PG
Mountain, DL
APPLIED SURFACE SCIENCE, 1999, 144-45 : 1 - 10
[35] Big Data Analytics and Fuzzy Technology: Extracting Information from Social Data
Shahbazova, Shahnaz N.
Shahbazzade, Sabina
RECENT DEVELOPMENTS AND THE NEW DIRECTION IN SOFT-COMPUTING FOUNDATIONS AND APPLICATIONS, 2018, 361 : 3 - 13
[36] Extracting Information from Continuous Naturalistic Driving Data: Sample Applications
Perez, Miguel A.
Doerzaph, Zachary R.
Gaylord, Clark K.
Hankey, Jonathan M.
2010 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2010, : 1201 - 1208
[37] Extracting Urban Ground Object Information from Images and LiDAR Data
Yi, Lina
Zhao, Xuesheng
Li, Luan
Zhang, Guifeng
XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 41 (B7): : 411 - 417
[38] Extracting novel information from neuroimaging data using neural fields
Pinotsis, Dimitris A.
Friston, Karl J.
EPJ NONLINEAR BIOMEDICAL PHYSICS, 2014, 2 (01):
[39] Extracting fishery economic performance information from quota trading data
Pascoe, Sean
Giles, Nicholas
Coglan, Louisa
MARINE POLICY, 2019, 102 : 61 - 67
[40] An Exploration of Crowdwork, Machine Learning and Experts for Extracting Information from Data
Kauker, Fabion
Hau, Kayan
Iannello, John
HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INTERACTION, VISUALIZATION, AND ANALYTICS, HIMI 2018 HELD AS PART OF HCI 2018, PART I, 2018, 10904 : 643 - 657

← 1 2 3 4 5 →