Selection of ore transport system for a metalliferous underground mine / Dobór systemu transportu rud w kopalni podziemnej rud metalu

Gönen, Alper; Malli, Tahir; Köse, Halil

doi:10.2478/v10267-012-0050-1

Cited by 8 publications

(8 citation statements)

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“…Each mode of transport has different characteristics that correspond to its efficiency, effort of initial implementation, cost of use, etc. [ 23 ] In this research, the focus was on wheeled machines used in ore haulage, i.e., haul trucks and loaders. Both machines usually perform spoil transportation between the mining face and the grid.…”

Section: Methodsmentioning

confidence: 99%

Haulage Cycles Identification for Wheeled Transport in Underground Mine Using Neural Networks

Skoczylas

Rot

Stefaniak

et al. 2023

Sensors

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The task of ore transportation is performed in all mines, regardless of their type (open pit/underground) or mining process. A substantial number of enterprises utilize wheeled machines to perform ore haulage, especially haul trucks and loaders. These machines’ work consists of repeating cycles, and each cycle can be divided into 4 operations: loading, driving with full box/bucket, unloading and driving with empty box/bucket. Monitoring this process is essential to create analytical tools that support foremen and other management crew in achieving effective and optimal production and planning activities. Unfortunately, information gathered regarding the process is frequently based on operators’ oral testimony. This process not only allows for abuse but is also a repetitive and tedious task that must be performed by foremen. The time and attention of foremen is valuable as they are responsible for managing practically everything in their current mine section (machines, operators, works, repairs, emergencies, safety, etc.). Therefore, the automatization of the described process of information gathering should be performed. In this article, we present two neural network models (one for haul trucks and one for loaders) build for detecting work cycles of the ore haulage process. Both models were built utilizing a 2-stage approach. In the first stage, the models’ structures were optimized, while the second was focused on optimizing hyperparameters for the structure with best performance. Both of the proposed models were trained using data collected from on-board monitoring systems over hundreds of the machines’ work hours and utilized the same input features: vehicle speed, fuel consumption, selected gear and engine rotational speed. Models have been subjected to comprehensive testing during which the efficiency and stability of the model responsible for haul trucks was proven. Results for loaders were not as high quality for haul trucks; however, some interesting facts were discovered that indicate possible directions for future development.

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Section: Methodsmentioning

confidence: 99%

Haulage Cycles Identification for Wheeled Transport in Underground Mine Using Neural Networks

Skoczylas

Rot

Stefaniak

et al. 2023

Sensors

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“…Year Scientific Novelty (Iphar and Goktan, 2006) 2006 A fuzzy set method is used for evaluation (Abdel Sabour and Dimitrakopoulos, 2011) 2011 Stochastic approaches to planning are applied (Bakhtavar et al, 2012) 2012 Integer programming is used (Gonen et al, 2012) 2012 Dynamic modelling is used to estimate the systems (Krzak, 2013) 2013 A decision-making criterion is applied to assess mines (Betrie et al, 2013) 2013 A method of MCDA evaluation is applied (Zhang et al, 2018) 2018 It is proposed to assess the efficiency according to the transportation system, mineral dressing, and environmental impact (Hrinov and Khorolskyi, 2018) 2018 Network models are used to estimate and improve the reliability criteria. An informative approach is peculiar by using estimations.…”

Section: Researchersmentioning

confidence: 99%

“…Thus, analysis of papers (Iphar and Goktan, 2006;Abdel Sabour and Dimitrakopoulos, 2011;Bakhtavar et al, 2012;Gonen et al, 2012;Betrie et al, 2013;Krzak, 2013;Hrinov and Khorolskyi, 2018;Zhang et al, 2018) has allowed formulating main requirements for the decision-making instruments:…”

Section: Researchersmentioning

confidence: 99%

Innovative Activities in the Sphere of Mining Process Management

Bazaluk

Ащеулова

Mamaikin

et al. 2022

Front. Environ. Sci.

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The purpose of this paper is to propose a new methodological approach to complex assessment of coal-mining enterprises basing on the evaluation of technological schemes from the viewpoint of their susceptibility to innovations. To solve the specified problems, a complex method has been used. The method involves geometrical interpretation of a task of determining boundary parameters of technological schemes, application of criteria-based estimations for determining a level of production efficiency, and use of complex index of economic re liability. For the first time, optimality criteria for innovation management in coal industry have been proposed; they take into consideration a level of organization of innovations, organization of innovative production system, and organization of innovative production process. A complex index “internal potential of technological networks” has been developed, being one of the essential parameters for evaluating coal mine conditions. It has been identified that its formation is the result of the influence of certain factors determining the underground mining efficiency and, first of all, the coal mine property—spatial development. According to the represented concept, a policy of optimal control for maintaining the operating mine capacities is based on the evaluation of remained reserves, substantiated planning of a stoping line, and correspondence of extraction equipment to the operating conditions. It is possible to increase the concentration of production by redistributing the remained reserves and integration of mines by mining operations; that makes it possible to concentrate resources within those parts of a mine field where the effect will show its maximum. Modelling of such problems is based on a system of constraints without any requirements for providing the planned mine loading, obligatory in the past. Analysis of the indices of efficiency of coal-mining technological schemes and accounting of the developed factual system of indices have helped elaborate recommendations concerning the use of optimality criteria in the organizational tasks of assessment of the potential of technological scheme of mines. Further application of graphs and network models will allow optimizing the mining production parameters. Consequently, the carried out research has resulted in a new system as for innovation management in a mining complex.

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“…al. [18] 2012 Застосовано динамічне моделювання для оцінки системи Отже, із аналізу праць [11][12][13][14][15][16][17][18] можна сформувати основні вимоги до інструментів прийняття рішень:…”

Section: дослідникиunclassified

Results of research of innovative potential of coal mines in conditions of diversification

Khorolskyi¹,

Fomychova²,

Pochepov³

et al. 2022

Coll. res. pap. nat. min. univ.

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Selection of ore transport system for a metalliferous underground mine / Dobór systemu transportu rud w kopalni podziemnej rud metalu

Cited by 8 publications

References 0 publications

Haulage Cycles Identification for Wheeled Transport in Underground Mine Using Neural Networks

Haulage Cycles Identification for Wheeled Transport in Underground Mine Using Neural Networks

Innovative Activities in the Sphere of Mining Process Management

Results of research of innovative potential of coal mines in conditions of diversification

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