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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: to enhance technology innovations in personless mining and provide the mining industries with a freshperspective to personless mining.;In response to the MOST initiative,  this paper presents a brief review on the development of automatedSweden,  outlines the major technological issues on the frontiers of automated mining,  andproposes some avenues of advancing technology innovations in automated mining in China.

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

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Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 288-302 doi: 10.1007/s11705-021-2055-9

Abstract: Automated flowsheet synthesis is an important field in computer-aided process engineering.The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis

Keywords： automated process synthesis     flowsheet synthesis     artificial intelligence     machine learning     reinforcement    

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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    

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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    

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Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 227-239 doi: 10.15302/J-FEM-2018071

Abstract: Construction is considered among the most dangerous industries and is responsible for a large portion of total worker fatalities. A construction worker has a probability of 1-in-200 of dying on the job during a 45-year career, mainly due to fires, falls, and being struck by or caught between objects. Hence, employers must ensure their workers wear personal protective equipment (PPE), in particular hardhats, if they are at risk of falling, being struck by falling objects, hitting their heads on static objects, or coming in proximity to electrical hazards. However, monitoring the presence and proper use of hardhats becomes inefficient when safety officers must survey large areas and a considerable number of workers. Using images captured from indoor jobsites, this paper evaluates existing computer vision techniques, namely object detection and color-based segmentation tools, used to rapidly detect if workers are wearing hardhats. Experiments are conducted and the results highlight the potential of cascade classifiers, in particular, to accurately, precisely, and rapidly detect hardhats under different scenarios and for repetitive runs, and the potential of color-based segmentation to eliminate false detections.

Keywords： construction     safety     personal protective equipment     hardhat     computer vision    

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hardening performance of three-dimensionally-printed geopolymer based on lunar regolith simulant for automated

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0003-0

Abstract: Using an in situ lunar regolith as a construction material in combination with 3D printing not only reduces the weight of materials carried from the Earth but also improves the automation of lunar infrastructure construction. This study aims to improve the printability of a geopolymer based on a BH-1 lunar regolith simulant, including the extrudability, open time, and buildability, by controlling the temperature and adding admixtures. Rheological parameters were used to represent printability with different water-to-binder ratios, printing temperatures, and contents of additives. The mechanical properties of the hardening geopolymer with different filling paths and loading directions were tested. The results show that heating the printed filaments with a water-to-binder ratio of 0.32 at 80 °C can adjust the printability without adding any additive, which can reduce the construction cost of lunar infrastructure. The printability of the BH-1 geopolymer can also be improved by adding 0.3% Attagel-50 and 0.5% polypropylene fiber by mass at a temperature of 20 °C to cope with the changeable environmental conditions on the Moon. After curing under a simulated lunar environment, the 72-h flexural and compressive strengths of the geopolymer specimens reach 4.1 and 48.1 MPa, respectively, which are promising considering that the acceleration of gravity on the Moon is 1/6 of that on the Earth.

Keywords： geopolymer     lunar regolith simulant     3D printing     rheology     printability    

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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    

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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    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Energy and Mining Engineering Front 2019

Energy and Mining Engineering  Project Team

Engineering Fronts 2019, Volume 3, Issue 1,   Pages 73-102

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Energy and Mining Engineering Front 2022

Energy and Mining Engineering Project Team

Engineering Fronts 2022, Volume 6, Issue 1,   Pages 92-123

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Evaluation of automated in-line precision dairy farming technology implementation in three dairy farms

Maria CARIA, Giuseppe TODDE, Antonio PAZZONA

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 2,   Pages 181-187 doi: 10.15302/J-FASE-2019252

Abstract: The automated in-parlour milk analysis and separation is mainly useful to produce low or high quality

Keywords： cheese yield     infrared analysis     milk quality     real-time measurement     sensor    

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Digital Mine Research and Practice Based on Mining and Metallurgy System Engineering

An-lin Shao

Frontiers of Engineering Management 2016, Volume 3, Issue 1,   Pages 67-73 doi: 10.15302/J-FEM-2016006

Abstract: Ansteel mining has created “grade decision-based multi-system integration” mode of mining and metallurgy

Keywords： exploration of lean iron ore     mining and metallurgy system engineering     digital mine     wisdom mine    

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Determination of selected semi-volatile organic compounds in water using automated online solid-phase

Yongtao LI, Christina L. MCCARTY, Ed J. GEORGE

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 417-425 doi: 10.1007/s11783-011-0310-x

Abstract: The method used an automated online solid-phase extraction technique coupled with programmed-temperatureThe water samples were extracted by using a fully automated mobile rack system based on x-y-z roboticAs a result, this new automated method can be used as an effective approach for screening and/or compliance

Keywords： automated solid-phase extraction     programmed-temperature vaporization     large-volume injection     gas chromatography    

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––Case of mining enterprises

Anlin SHAO

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 375-378 doi: 10.15302/J-FEM-2017108

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Title Author Date Type Operation

Frontiers in Personless Mining and Avenues of Their Advancement in China

Li Zhongxue,Li Cuiping,Liu Shuangyue

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

Journal Article

The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Journal Article

Recent Science and Technology Frontier for Exploitation of Underground Metal Resources

Yu Runcang

Journal Article

Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Journal Article

hardening performance of three-dimensionally-printed geopolymer based on lunar regolith simulant for automated

Journal Article

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

Da-zhao Gu

Journal Article

Driving Factors of Green Mining in Coal Mining Enterprises in China

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

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Energy and Mining Engineering Front 2019

Energy and Mining Engineering  Project Team

Journal Article

Energy and Mining Engineering Front 2022

Energy and Mining Engineering Project Team

Journal Article

Evaluation of automated in-line precision dairy farming technology implementation in three dairy farms

Maria CARIA, Giuseppe TODDE, Antonio PAZZONA

Journal Article

Digital Mine Research and Practice Based on Mining and Metallurgy System Engineering

An-lin Shao

Journal Article

Determination of selected semi-volatile organic compounds in water using automated online solid-phase

Yongtao LI, Christina L. MCCARTY, Ed J. GEORGE

Journal Article

––Case of mining enterprises

Anlin SHAO

Journal Article