Dynamic Analytical Platform for Mine Ventilation Networks

Mine disasters frequently occur with serious consequences, so additional research is needed to effectively deal with mine disasters especially the secondary catastrophes. Modularization modeling method was used to develop the dynamic analytical platform for modeling mine ventilation networks. The platform includes models of the ventilation network and the control systems. A small experimental ventilation network was also constructed to validate the platform. The results show that the platform provides accurate real-time simulations of normal operations and accident conditions in the ventilation network. The platform accurately models dynamic spreading of the disaster in the lab with errors of around 5%. Thus, the platform can be used to analyze the mine ventilation systems during accidents and develop methods to prevent the secondary catastrophes and the deterioration of mine disasters.

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An Efficient Mine Ventilation Solution Method Based on Minimum Independent Closed Loops

Energies ◽

10.3390/en13225862 ◽

2020 ◽

Vol 13 (22) ◽

pp. 5862

Author(s):

Deyun Zhong ◽

Liguan Wang ◽

Jinmiao Wang ◽

Mingtao Jia

Keyword(s):

Closed Loop ◽

Solution Method ◽

Mine Ventilation ◽

Ventilation Network ◽

Closed Loops ◽

Network Solution ◽

Computation Efficiency ◽

Hardy Cross ◽

Number Of Iterations ◽

Ventilation Networks

In this paper, according to the analysis of optimum circuits, we present an efficient ventilation network solution based on minimum independent closed loops. Our main contribution is optimizing the circuit dividing strategy to improve the iteration convergence and the efficiency of a single iteration. In contrast to a traditional circuit, a minimum closed loop may contain one or more co-tree branches but fewer high-resistance branches and fan branches. It is helpful in solving the problem of divergence or slow convergence for complex ventilation networks. Moreover, we analyze the dividing rules of closed loops and improve the dividing algorithm of minimum independent closed loops. Compared with the traditional Hardy Cross iteration method, the improved solution method has better iteration convergence and computation efficiency. The experimental results of real-world mine ventilation networks show that the improved solution method converges rapidly within a small number of iterations. We also investigate the influence of network complexity, iterative precision, and initial airflow on the iteration convergence.

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The process of closing dynamics applied to the ventilation network of Paroşeni mine

MATEC Web of Conferences ◽

10.1051/matecconf/202030500080 ◽

2020 ◽

Vol 305 ◽

pp. 00080

Author(s):

Florin Rădoi ◽

Doru Cioclea ◽

Corneliu Boantă ◽

Cristian Tomescu

Keyword(s):

Real Time ◽

Ventilation System ◽

Ventilation Network ◽

Real Time Visualization ◽

Ventilation Networks

The decision to begin the process of closing/preserving a mining objective requires the analysis of a complex of factors that interact and influence the efficiency of decision. Solving the ventilation networks with the help of computing is a huge step forward that allows optimization of the air management and real-time visualization of network changes. The method of solving the ventilation network with the help of the computation, allows the modeling and solving of the ventilation networks as well as any simulations of changes that may occur in the ventilation system regardless of its complexity, during the closing period. This paper will present the process of closing dynamics in a complex ventilation network.

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A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation

Discrete Dynamics in Nature and Society ◽

10.1155/2020/1041927 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Hui. Liu ◽

Shanjun Mao ◽

Mei. Li ◽

Pingyang Lyu

Keyword(s):

Real Time ◽

Network Model ◽

Coal Mine ◽

Mine Ventilation ◽

Geographical Information ◽

Mine Safety ◽

Ventilation Network ◽

Online Simulation ◽

Decision Making System ◽

Safety Production

With the development of state-of-the-art technology, such as the artificial intelligence and the Internet of Things, the construction of “intelligent mine” is being vigorously promoted, where the intelligent mine ventilation is one of the primary concerns that provides the efficient guarantee for safety production in the underground coal mine system. This study aims to integrate the geographical information system (GIS) and the unsteady ventilation network model together, to provide location based information and online real-time support for the decision-making system. Firstly, a GIS based unsteady network model is proposed, and its algorithm steps are brought out. Secondly, a prototype web system, named 3D VentCloud, is designed and developed based on the front and end technique, which effectively integrates the proposed algorithms. Thirdly, the model is validated, and the system is applied to a real coal mine for ventilation solution, which demonstrates that the model is reasonable and practical. The online simulation system is efficient in providing real-time support. The study is potential and is expected to guide the real-time coal mine safety production.

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Airflow sensitivity assessment based on the underground mine ventilation systems modeling

10.20944/preprints201707.0050.v1 ◽

2017 ◽

Author(s):

Wacław Dziurzyński ◽

Andrzej Krach ◽

Teresa Pałka

Keyword(s):

Numerical Models ◽

Air Flow ◽

Aerodynamic Resistance ◽

Mine Ventilation ◽

Ventilation Network ◽

Air Density ◽

Sensitivity Assessment ◽

Flow Directions ◽

Sensitivity Indicator ◽

Ventilation Systems

This paper presents a methodology for determining the sensitivity of the main air flow directions in ventilation subnetworks to changes of aerodynamic resistance and of air density in mine workings. Formulae for determination of the sensitivity of the main subnetwork air flows by establishing the degree of dependency of the air volume stream in a given working on the variations in resistance or air density of other workings of the network have been developed. They have been implemented in the VentGraph mine ventilation network simulator. This software, widely used in Polish collieries provides an extended possibility to predict the process of ventilation, air distribution and, in the case of underground fire, also the spread of combustion gasses. The new method facilitates assessment by mine ventilation services of the stability of ventilation systems in exploitation areas and determine of the sensitivity of the main subnetwork air flow directions to changes of aerodynamic resistance and air density. Recently in some Polish collieries new longwalls are developed in seams located deeper then the bottom of the intake shaft. Such solution is called “exploitation below the level of access” or “sublevel”. The new approach may be applied to such developments to assess the potential of changes of direction and air flow rates. In addition, interpretation of the developed sensitivity indicator is presented. While analyzing air distributions for sublevel exploitation, application of current numerical models for calculations of the distribution results in tangible benefits, such as the evaluation of the safety or risk levels for such exploitation. Application of the VentGraph computer program, and particularly the module POŻAR (fire) with the newly developed options, enables an additional approach to the sensitivity indicator in evaluating air flow safety levels for the risks present during exploitation below the level of the intake shaft. The analyses performed and examples presented enabled useful conclusions in mining practice to be drawn.

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A Basic Study for Real Time Control of a Mine Ventilation Network

Journal of the Mining and Metallurgical Institute of Japan ◽

10.2473/shigentosozai1953.101.1163_9 ◽

1985 ◽

Vol 101 (1163) ◽

pp. 9-14

Author(s):

Yuusaku TOMINAGA ◽

Toshiro ISOBE ◽

Hiroyuki NEMOTO ◽

Shiiruu LIN ◽

Seiji YAMAGUCHI

Keyword(s):

Real Time ◽

Mine Ventilation ◽

Ventilation Network ◽

Real Time Control ◽

Basic Study ◽

Time Control

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Determining Diagonal Branches in Mine Ventilation Networks

Archives of Mining Sciences ◽

10.2478/amsc-2014-0076 ◽

2014 ◽

Vol 59 (4) ◽

pp. 1097-1105 ◽

Cited By ~ 2

Author(s):

Andrzej Krach

Keyword(s):

Incidence Matrix ◽

Mine Ventilation ◽

Ventilation Network ◽

The Matrix ◽

End Node ◽

The Relationship ◽

Ventilation Networks ◽

Graph Nodes

Abstract The present paper discusses determining diagonal branches in a mine ventilation network by means of a method based on the relationship A⊗ PT(k, l) = M, which states that the nodal-branch incidence matrix A, modulo-2 multiplied by the transposed path matrix PT(k, l ) from node no. k to node no. l, yields the matrix M where all the elements in rows k and l - corresponding to the start and the end node - are 1, and where the elements in the remaining rows are 0, exclusively. If a row of the matrix M is to contain only „0” elements, the following condition has to be fulfilled: after multiplying the elements of a row of the matrix A by the elements of a column of the matrix PT(k, l), i.e. by the elements of a proper row of the matrix P(k, l ), the result row must display only „0” elements or an even number of „1” entries, as only such a number of „1” entries yields 0 when modulo-2 added - and since the rows of the matrix A correspond to the graph nodes, and the path nodes level is 2 (apart from the nodes k and l, whose level is 1), then the number of „1” elements in a row has to be 0 or 2. If, in turn, the rows k and l of the matrix M are to contain only „1” elements, the following condition has to be fulfilled: after multiplying the elements of the row k or l of the matrix A by the elements of a column of the matrix PT(k, l), the result row must display an uneven number of „1” entries, as only such a number of „1” entries yields 1 when modulo-2 added - and since the rows of the matrix A correspond to the graph nodes, and the level of the i and j path nodes is 1, then the number of „1” elements in a row has to be 1. The process of determining diagonal branches by means of this method was demonstrated using the example of a simple ventilation network with two upcast shafts and one downcast shaft.

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