Development of a Simulation Model of the Walking Roof  Support With Integrated Control Algorithms for Visualizing Mining Processes

Nikitenko, Mikhail; Zhuravlev, Sergey; Malakhov, Yuriy V.; Ababkov, Nikolay

doi:10.26730/1999-4125-2019-1-49-58

Cited by 3 publications

(1 citation statement)

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“…В созданной нами системе [7] определяется большое количество обусловленных человеческим фактором стохастических параметров, статистические распределения которых неизвестны и не могут быть определены из наблюдений. Описанные имитационные модели горной добычи [8][9][10][11][12][13] указывают на наличие таких случайных факторов, но либо используемое в них распределение не указывается, либо используется только одно распределение для всех параметров (чаще всего нормальное). Таким образом, ставится задача исследования влияния четырех выбранных статистических распределений случайных величин на результаты моделирования горно-выемочных работ.…”

Section: материалы и методыunclassified

Investigation of the Random Value Statistical Distributions Models Choice Influence on the Mining Operations Modeling Results

Zatonskiy¹,

Yazev²

2021

CTAC&R

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The importance of production planning for improving the performance indicators of a mining enterprise is indicated. The possibility of simulation modeling using for this aim is shown. It is shown that the created model has a large number of stochastic parameters. It is investigated that there is a problem of research lack about the choice influence of the mining modeling results with different statistical distributions. It is known that with an increase in stochastic deviations from the initial parameters, the productivity of queuing systems decreases. Purpose of work is to study this influence with four statistical distributions of a random quantity (uniform, normal, negative bi-nomial and Poisson distribution) for individual operations and their combinations. In addition, it is necessary to determine how much a change in one particular parameter will affect the overall result of the modeling. Materials and methods. In the previously created simulation model, a stochastic delay is added to the time of individual operations. The addition of such a delay with different sta-tistical distributions and with the same mathematical expectation is investigated. The simulation re-sults are compared with each other, for each individual operation the absolute and relative devia-tion of the results is shown. Further, a similar simulation is performed when all the simultaneously selected parameters changing. Result. It is shown that the magnitude of the deviation significantly differs among all deviations. It is shown that for various single changes in operations, the largest and smal-lest deviations can be given by different statistical distributions. To study the joint change with all parameters, 3 modeling scenarios are implemented: all uniform distributions (this case is used now), the scenario with the smallest deviation and the scenario with the largest deviation. It is shown that switching to another scenario leads to a significant change in the simulation. Conclusion. It is con-cluded that the used significant influence of statistical distributions choice to the accuracy of model-ing the operation of the mining machine is shown, especially when they are taken into account to-gether. The results can be used to clarify the influence of individual factors in the simulation model and improve the planning of potash mining operations, for individual mining machines too.

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Section: материалы и методыunclassified

Investigation of the Random Value Statistical Distributions Models Choice Influence on the Mining Operations Modeling Results

Zatonskiy¹,

Yazev²

2021

CTAC&R

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Modeling of the complex “Technological equipment and Control system” for debugging and testing control algorithms of the walking support

Zhuravlev

Nikitenko

Malakhov

et al. 2019

IOP Conf. Ser.: Earth Environ. Sci.

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Technical and technological platforms for creating robotized complexes for the development of thick seam deposits

Nikitenko

Kizilov

2019

IOP Conf. Ser.: Earth Environ. Sci.

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The article presents technical and technological solutions for the development of thick seam fields, considered as platforms for designing robotic coal extraction complexes. Enclosing-supporting power support with controlled release to the face conveyor in the long wall version and “support-gallery” design, as well as power complete enclosing-supporting walking support are presented as platforms. For each platform, taking into account the structural differences, the devices and processes of automation and robotization are systematized within the framework of the “rock-coal” boundary determination task, conveyor loading and coal outlet initiation assessment. The prospects for the neurocomputer interface integration into the control system for solving dispatching tasks are indicated.

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Development of a Simulation Model of the Walking Roof Support With Integrated Control Algorithms for Visualizing Mining Processes

Cited by 3 publications

References 0 publications

Investigation of the Random Value Statistical Distributions Models Choice Influence on the Mining Operations Modeling Results

Investigation of the Random Value Statistical Distributions Models Choice Influence on the Mining Operations Modeling Results

Modeling of the complex “Technological equipment and Control system” for debugging and testing control algorithms of the walking support

Technical and technological platforms for creating robotized complexes for the development of thick seam deposits

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