New Technology in Open Pit: Mining Equipment

1983 ◽  
Author(s):  
Jes-Pefer Ahrenkiel
2021 ◽  
Vol 280 ◽  
pp. 08001
Author(s):  
Khavalbolot Kyelgyenbai ◽  
Serhii Pysmennyi ◽  
Serhii Chukharev ◽  
Batbolor Purev ◽  
Ijilmaa Jambaa

Erdenet copper-molybdenum deposit is the biggest one in the world and has a significant impact on Mongolian society and economy. Today LIEBHERR-994B hydraulic shovels from Germany, electric shovels including EKG-10 and EKG-15 from Russia operate for the mining works, and dump truck BelAZ - 75130 used for transportation. The causes of shovel downtime are classified as technical, technological, and organizational. During the study period, 41% of the total downtime of the excavator’s park was technical, 45% was technological, and 11% was organizational downtime. For shovels, 7% of technological downtime is due to blasting, and for dump trucks 8.7%. In open-pit mining, blasting is performed on a weekly basis, so the duration of this technological downtime can be considered almost constant. If the time between blasts or period of blasting can be arranged optimally, it will be possible to reduce mining equipment’s downtime due to blasting.


2020 ◽  
Vol 59 (3) ◽  
pp. 123-130
Author(s):  
Mark Leont’evich KHAZIN ◽  

Research aim is to reduce the costs of a mining company and the number of accidents by increasing the efficiency of the use of equipment and eliminating the human factor. Research methodology: analysis of possible areas of application of autonomous mining dump trucks and problems associated with this process. Results. Mining is carried out in difficult mining conditions, which makes the presence of people in the working area of the quarry problematic. Mining companies are looking to cut costs and make jobs safer, especially in developed countries with high labor costs. The use of dump trucks with remote and autonomous control systems in open pits makes it possible to increase the safety and efficiency of open pit mining, reduce the influence of the human factor and increase the productivity of mining machines. While human drivers can do their job well, autonomous trucks can drive the exact route every time without getting bored, tired or resting. The car does not need clean air, good visibility and a lunch break. At the same time, mining autonomous dump trucks can be used in remote-controlled, semi-autonomous and autonomous modes, and the driver in them is replaced by a central controller and a local self-management system. The robot does not get tired and does not make mistakes, it can work 24 hours a day. Eliminating human error and regular training improves safety and increases the productivity of a mining operation. Such companies as BelAZ, Komatsu and Caterpillar are the leaders in the production of autonomous mining dump trucks. Conclusions. The introduction of autonomous transportation allows the mining company to actually reduce its operating costs. While autonomous technologies are still in their infancy, they continue to evolve. Complex solutions will be of great interest - centralized systems that allow working with a fleet of autonomous vehicles and other mining equipment. Therefore, this direction today is the most developing and promising, and the use of autonomous dump trucks in the mining industry is no longer a distant prospect, but a reality of today


2019 ◽  
Author(s):  
Gary Stewart

New technology has made possible a global survey of martian near-surface meteoritic ore, raising the possibility of precious-metal mining claims. Mars’ history of low-speed asteroid impacts and its enrichment in highly siderophile elements suggest the presence of commercial precious-metal ore within some impact craters. A first Mars base may be sited in a metal-rich crater, to operate as a mining camp. Here an automated facility can leverage a solar panel farm, ice, salts, and hab products and byproducts to extract and refine metals. This “Red Gold” facility can operate in open air, without pressure vessels, and using little consumable cargo from Earth. Practical, illustrative methods are sketched, all aiming to minimize either facility complexity or cargo mass. A foundry can output printed and sintered iron alloy products. A refinery can output not just bullion, but also 3D printed jewelry products, for greater revenue. Daily gold production of just 0.001 m3 can translate into multi-billion-dollar annual revenue from all precious-metal products. This first facility gives a foundation for self-financed mine growth and for martian settlement. However, the socio-political character of settlements would hinge upon ownership of Red Gold; hence upon mining claims. If a totalitarian regime were to secure the claims, the mine and settlements would bear a totalitarian stamp; therefore, a rapid American survey of martian meteoritic ore is recommended and outlined.


Author(s):  
VELIKANOV Vladimir Semenovich ◽  

Relevance of the work is due to the need for further modernization of the economy of the Russian Federation, which involves solving both basic theoretical and applied problems of the domestic mining industry. This circumstance largely determines not only the state of the state’s production resources, but also its scientific and technical potential. The global trend in the development of mining operations in the world is mainly determined by open pit mining of raw material resources. Open pit mining is characterized by an increase in the volume of processed rock mass, improved production processes through the use of advanced technologies, which entails the use of high-capacity mining machines. The main problems of open-cut mining are the following: complex mining and geological and mining-technical conditions; depletion of the mineral resource base; and constantly changing environmental conditions. All this leads to an increase in the cost of mining and a decrease in the competitiveness of the products of mining companies. Objective of the work. To establish the need to modernize traditional technologies in open pit mining with the possibility of integrating the main ideas of Industry 4.0. Research methodology. When solving the set tasks a complex approach was used, including: scientific analysis and synthesis of previously published research, analytical studies, laboratory experiment and observations of the work of open-pit excavators in real operating conditions. The methods of mathematical statistics include system analysis and modeling with the use of information technologies form the methodological basis of the research. Results. This paper deals with the issues of modelling the cab of a quarry crawler excavator to meet the technical requirements for the excavator cab in protecting against tipping and rock impacts. Model setup and analysis of simulation results after loading are performed using Autodesk Inventor software. An optimal finite-element model of an excavator operator’s cabin has been developed to assess the effectiveness of its structural protection. Conclusions. Implementing the core ideas of Industry 4.0 is a complex scientific and technical challenge. Its solution is connected with significant economic costs, including modernization of mining equipment, infrastructure, as well as changes in the technology of open-cast mining. The implementation of complex automated control systems and practical application of the latest information and geoinformation technologies will unambiguously give high estimated figures and have high applied potential, and ultimately ensure safety of open pit mining, increase of efficiency and productivity, possibility of mining in regions with complex mining and geological and mining-technical conditions.


Author(s):  
And. A. Kurasov ◽  
Art. A. Kurasov

The article reviews methods of improving reliability and durability of machinery parts during operation of open pit mining equipment. An approach to friction control in contact interaction between parts and assemblies is presented. Effects of pressure and sliding velocity in friction, as well as prevention of intensive wear of parts, assemblies and systems during operation are exemplified. It is analyzed how reliability and durability of machinery parts depend on lubrication during operation of open pit mining equipment. Requirement of laboratory analysis of lubricants is substantiated.


2011 ◽  
Vol 28 (03) ◽  
pp. 279-300 ◽  
Author(s):  
ABBAS AGHAJANI BAZZAZI ◽  
MORTEZA OSANLOO ◽  
BEHROOZ KARIMI

Nowadays, the capital cost of open-pit mining equipment is very high so any mistake in the selection of quantity, type and capacity of equipment may cause irreparable impact on the net present value of mining project. Mine planning engineers generally use their intuition and experience in decision making even though equipment selection is a complex multi criteria decision problem. Considering the tangible along with intangible factors in the mine equipment selection problem, this paper proposes a new method of multi criteria decision making (MCDM) that makes it possible to select the optimal equipment that satisfies the decision maker. In a real-world situation, because of incomplete or non-obtainable information, the data (attributes) are often not deterministic but they are usually fuzzy-imprecise. Our proposed model considers objective, critical, and subjective factors as the three main common factors in equipment selection analysis. The last two factors, critical and subjective factors, are defined by decision maker's judgments for more adoption with real world problems. A case study is presented to illustrate the use of the proposed model and to demonstrate the capability of the model. The result of this study shows significant reduction of time consumption of calculation and good precision compared to customary methods such as Chang's fuzzy AHP method.


2019 ◽  
Vol 100 (2) ◽  
pp. 301-305 ◽  
Author(s):  
V. I. Symonenko ◽  
Jamil Sami Haddad ◽  
O. V. Cherniaiev ◽  
V. O. Rastsvietaiev ◽  
M. O. Al-Rawashdeh

2021 ◽  
Vol 13 (3) ◽  
pp. 449-456
Author(s):  
Viktor EFIMOV ◽  
◽  
Nikolay ABRAMKIN ◽  
Natalia EFIMOVA ◽  
◽  
...  

On the example of JSC SUEK, the expediency of using robotic technologies at open-pit mining enterprises in Russia is considered. The analysis of industrial safety, socio-economic factors and economic feasibility suggests the need for the use of robotic technologies in mining enterprises. The ideology and practical steps of digital transformation in mining were formed in stages. Positively influencing the efficiency of work and the level of industrial safety of mining enterprises, the processes of digital transformation at mining enterprises in Russia have passed the stages of development: The first stage is Sensors and autonomous GIS products, the equipment of which allowed optimizing the loading of mining equipment by an average of 8%, increasing tire mileage by 7–15%, practically preventing accidents, digitizing mining and geological systems; The second stage is monitoring and statistics, which, using the experience of the first stage, made it possible to achieve an average fuel economy of 10%, increase cargo transportation productivity by 15%, and increase the technical readiness coefficient (CTG) by 4%; The third stage - Optimization and integration” contributed to an increase in the productivity of mining equipment by 10-15% stabilization of the quality of coal (ore), an increase in the productivity of drilling rigs by 15-20% while reducing the cost of drilling by 2–7%; The fourth stage is Predictive analysis, where, based on the achievements of the three previous stages, the prediction of the risk of accidents is achieved and, taking into account the modeling of optimization of technical and economic processes, preliminary maintenance is carried out with a forecast of production from extraction to enrichment. The fifth stage - Robotics - is a “revolutionary” increase in productivity due to changes in the parameters of geotechnologies. Modern production based on digital technologies is exposed to three main drivers: changing demands of mining enterprises, technology development and increased competition. Digital transformation is the process of transition of an enterprise to new ways of thinking based on the need to improve industrial and environmental safety and work based on the use of social, mobile and other digital applications.


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