Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 133

Conference Videos 3

Year

2023 7

2022 11

2021 5

2020 14

2019 8

2018 7

2017 16

2016 4

2015 6

2014 5

2013 3

2012 1

2011 5

2010 2

2009 1

2008 6

2007 5

2006 4

2005 3

2004 1

open ︾

Keywords

data mining 13

automation 6

Data mining 5

Deep mining 4

coal mining 4

Rockburst 3

optimization 3

Key technology 2

Machine learning 2

Mining 2

Rock mechanics 2

lifting pipe 2

mining technique 2

rockburst 2

system integration 2

-means clustering 1

3D printing 1

In situ database 1

In situstresses 1

open ︾

Search scope:

排序： Display mode:

The Thinking on Development of Knowledge Economy in Mining Industry

Yu Runcang

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 40-43

Abstract:

This paper points out that mining belongs to an ancient industry and its production object is naturaltraining) innovation and management innovation toward highly informationized and numerically controlled mining

Keywords： knowledge economy mining automation sustainable development

HTML PDF Collect

The Recent Technological Development of Intelligent Mining in China

Jinhua Wang,Zenghua Huang

Engineering 2017, Volume 3, Issue 4, Pages 439-444 doi: 10.1016/J.ENG.2017.04.003

Abstract:

In the last five years, China has seen the technological development of intelligent mining and theapplication of the longwall automation technology developed by the Longwall Automation Steering CommitteeAn intelligent mining model was developed that permitted unmanned operation and single-person inspectionMiners are only required to monitor mining machines on the roadway or at the surface control center,since intelligent mining can be applied to extract middle-thick or thick coal seams.

Keywords： Coal mine Intelligent mining Mechanized mining work face Longwall Automation Steering Committee Intelligent

HTML PDF Collect

Opportunities and Challenges in Deep Mining: A Brief Review

Pathegama G. Ranjith,Jian Zhao,Minghe Ju,Radhika V. S. De Silva,Tharaka D. Rathnaweera,Adheesha K. M. S. Bandara

Engineering 2017, Volume 3, Issue 4, Pages 546-551 doi: 10.1016/J.ENG.2017.04.024

Abstract: As a result, underground mining continues to progress to deeper levels in order to tackle the mineralHowever, deep mining occurs in a very technical and challenging environment, in which significant innovativeThese challenges include the catastrophic events that are often met in deep mining engineering: rockburstsThis review paper presents the current global status of deep mining and highlights some of the newestachievements and opportunities associated with rock mechanics and geotechnical engineering in deep mining

Keywords： Deep mining Rock mechanics Rockburst In situstresses Mining automation

HTML PDF Collect

Development and Suggestion on the Comprehensive Automation of Process Industry

Huang Dao,Li Guanghua

Strategic Study of CAE 2000, Volume 2, Issue 12, Pages 52-58

Abstract:

The rapid development of industrial automation has brought favorable requirements for the chemicalenterprises to carry out comprehensive automation.This article brings forward the three-strata structure of the comprehensive automation, describes itthe basis of the understanding which is acquired through practical implementation of comprehensive automation

Keywords： process industry CIMS comprehensive automation product data management (PDM)

HTML PDF Collect

Frontiers in Personless Mining and Avenues of Their Advancement in China

Li Zhongxue,Li Cuiping,Liu Shuangyue

Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 16-20

Abstract: depth and other adverse conditions confronted by the mining industries, increase the efficiencyof extracting mineral resources, and safeguard the safety and health of mining workers.to enhance technology innovations in personless mining and provide the mining industries with a freshperspective to personless mining., and proposes some avenues of advancing technology innovations in automated mining in China.

Keywords： hard-rock mining automated mining personless mining personless mine

HTML PDF Collect

Robotics: From Automation to Intelligent Systems

Eduardo Nebot

Engineering 2018, Volume 4, Issue 4, Pages 446-448 doi: 10.1016/j.eng.2018.07.018

HTML PDF Collect

Digital Water Developments and Lessons Learned from Automation in the Car and Aircraft Industries Review

Dragan Savić

Engineering 2022, Volume 9, Issue 2, Pages 35-41 doi: 10.1016/j.eng.2021.05.013

Abstract: cybersecurity, incorrect use, and overconfidence in the capability and accuracy of digital solutions and automationforensic engineering principles to failures that have been experienced in industries further ahead with automationThe key findings show that: ① Automation will require “humans in the loop”; ② human operatorscybersecurity risks must be considered; and ⑥ ethics issues have to be considered, given the increasing automation

Keywords： Digitalization Automation Water Sector Potential Risks Lessons

HTML PDF Collect

The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Strategic Study of CAE 2006, Volume 8, Issue 11, Pages 70-73

Abstract: extended the mutative information and knowledge, and nailed down the conceptions of extension data miningThis thesis also attested two theorems of the extension data mining and the formula of the extensionThe author put forward the extension data mining which extended from mining the static knowledge to miningSo it exploited a new aspect of data mining, and illuminated it by examples.

Keywords： extension information extension knowledge extension data mining extension reasoning

HTML PDF Collect

Recent Science and Technology Frontier for Exploitation of Underground Metal Resources

Yu Runcang

Strategic Study of CAE 2002, Volume 4, Issue 9, Pages 8-11

Abstract:

With the development of rockmechanics, extensive application of computer in mining area and promotionby intersection of multi-course, mining starts entering the science field, being regarded as skill alwaysand technology at the frontier for exploitation of underground metal resources： digital control of miningenvironment, wasteless mining, ocean mining and coping with threat of rockburst in deep mining, thatare of great importance to the development of mining course.

Keywords： mining metal resource digital control of mining environment wasteless mining

HTML PDF Collect

Technology Development and Engineering Practice for Protection and Utilization of Water Resources in Coal Mining

Da-zhao Gu

Frontiers of Engineering Management 2016, Volume 3, Issue 1, Pages 59-66 doi: 10.15302/J-FEM-2016010

Abstract: as “the Western Area”) are major coal-producing areas in China due to rich coal resources and good miningThe surface evaporation is huge and a great amount of mine water generated in coal mining is evaporatedIn order to protect and utilize the water resources during large-scale coal mining in the Western AreaThe technology is also extended to other western mining areas, providing an effective path for harmonicmining of coal and water resources in western China.

Keywords： Western Mining Area coal mining water resources coal mine underground reservoirs

HTML PDF Collect

concept and procedure for reliability assessment of an IEC 61850 based substation and distribution automation

Hosein HAYATI,Amir AHADI,Seyed Mohsen MIRYOUSEFI AVAL

Frontiers in Energy 2015, Volume 9, Issue 4, Pages 387-398 doi: 10.1007/s11708-015-0382-6

Abstract: IEC 61850 is the core standard in the smart grid domain for distribution and substation automation.

Keywords： IEC 61850 reliability assessment fault tree analysis

HTML PDF Collect

A literature review of smart warehouse operations management

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 31-55 doi: 10.1007/s42524-021-0178-9

Abstract: characteristics of smart warehouses, including the perspectives of information interconnection, equipment automation

Keywords： smart warehouse operations management interconnection automation integration sustainability

HTML PDF Collect

Driving Factors of Green Mining in Coal Mining Enterprises in China

Lin-xiu Wang,Mu-xi Yu,Si-jia Wang

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 211-223 doi: 10.15302/J-FEM-2015043

Abstract: This study constructs a Green Mining model based on identification and analysis of the four key drivingfactors of Green Mining in coal mining enterprises in China.The result shows that four key factors affect the intended implementation of Green Mining by improvingThe diffusion of Green Mining technology has direct positive influence on the intended Green Mining implementationFour Green Mining incentive policies are raised to regulate and motivate the coal mining enterprises

Keywords： Green Mining driving factor Structural Equation Model empirical study