The Use of Fuzzy Systems in the Designing of Mining Process in Hard Coal Mines

2014 ◽  
Vol 59 (3) ◽  
pp. 741-760
Author(s):  
Edyta Brzychczy ◽  
Marek Kęsek ◽  
Aneta Napieraj ◽  
Marta Sukiennik
Keyword(s):  
Knowledge Base ◽  
Fuzzy Systems ◽  
Coal Mines ◽  
Fuzzy Rules ◽  
Longwall Face ◽  
Hard Coal ◽  
Site Conditions ◽  
The Given ◽  
Selection Of

Abstract This article presents examples of solutions supporting the design of certain elements of the mining process in coal mines. The focus is on two fuzzy systems: the first supports the selection of equipment for longwall faces (FSES); and the second supports the estimation of production results (FSOE). System FSES generates proposals for equipment in designed longwall faces. The module of fuzzing in this system enables a fuzzing operation for the following quantitative variables: longwall length; longwall height; longitudinal and crosswise incline of the longwall, workability of the coal and thickness of rock vein in a given section of the longwall. The knowledge base includes over 100 fuzzy rules indicating possible options for equipment under specified site conditions. After a proposal of equipment is generated, it is then possible to insert the values obtained into the second system FSOE, which estimates output for a given shift time using the chosen parameters. The module of fuzzing in system FSOE includes 9 variables, which are crucial in determining shift output for the given longwall face. The knowledge base in this system contains over 2000 rules. As a result of the operation of both systems, the designer receives both a proposal of equipment for the designed longwall face and the size of shift output under the given conditions. Operation of the two systems has been presented using a case study.

scholarly journals Analysis of Exploitation Parameters in Drainage Boreholes of the Longwall Demethylation System. Case Study

2021 ◽  
Vol 4 (1) ◽  
pp. 23-39
Author(s):  
Henryk Badura ◽  
Zygmunt Łukaszczyk
Keyword(s):  
Methane Concentration ◽  
Coal Mines ◽  
Extraction Process ◽  
Longwall Face ◽  
Coal Bed ◽  
Hard Coal ◽  
Methane Mixture ◽  
Roof Rocks ◽  
Made In

Abstract In hard coal mines with methane, there is often a need to apply demethylation in order to keep the methane concentration not exceeding 2% in the ventilation air. The basic demethylation method in longwall areas is through drainage boreholes made in the roof rocks of the coal bed, from top gate, in front of the longwall. The drainage boreholes are usually made in bundles, in a fan-shaped arrangement, with several boreholes in each bundle. The paper presents the results of measurements and tests of the efficiency of a bundle of four drainage boreholes drilled approximately 100 m in front of the longwall face. The efficiency of individual boreholes was analyzed in time and depending on the distance of borehole outlets from the longwall face. It was found that there is a large variation in the extraction of air-methane mixture by individual drainage boreholes, as well as large differences in the efficiency of individual drainage boreholes during the longwall extraction process.

scholarly journals Coordinate Transformation Using the Author’s Software in GIS Class System – Case Study

2021 ◽  
Vol 20 ◽  
pp. 7-19
Author(s):  
Violetta Sokoła-Szewioła ◽  
Marian Poniewiera ◽  
Aleksandra Mierzejowska
Keyword(s):  
Spatial Data ◽  
Underground Mines ◽  
Hard Coal ◽  
The European Union ◽  
Hard Coal Mining ◽  
Uniform Manner ◽  
The Stability ◽  
Different Sources ◽  
Selection Of

In order to implement the provisions of the INSPIRE Directive, it is necessary for the Member States of the European Union to take appropriate measures to enable combining in a uniform manner spatial data deriving from different sources and sharing use of them by many users and many applications. Spatial data regarding underground hard coal mining in Poland should also be available in the national spatial reference system. Mining enterprises run a cartographic resource in the different rectangular flat coordinate systems. The standard transformation procedure does not provide the required accuracy because these are areas affected by mining activity, and the stability of points is limited, hence, studies were undertaken. The result is the development of software that can be used in Geographic Information Systems to transform spatial data from a system used in mine to the national system. The article described shortly a chosen coordinates systems used in Polish underground mines, elaborated procedure for selection of the degree and the type of a transformation polynomial in the transformation task. It presents its practical application of procedure for the area of one of hard coal mines using the author’s software elaborated in the results of above-mentioned research.

Discovering and Modelling Enterprise Engineering Project Processes

2007 ◽  
pp. 39-61 ◽  
Author(s):  
O. Noran
Keyword(s):  
Enterprise Engineering ◽  
Engineering Project ◽  
Architecture Framework ◽  
Sample Application ◽  
Architecture Frameworks ◽  
The Given ◽  
Selection Of

Often, in an enterprise engineering (EE) project, it is quite difficult to figure out what exactly needs to be done due to the rather generic (and often proprietary) character of the EE methods available. In addition, selecting appropriate elements from the multitude of available and emerging architecture frameworks (AFs) in order to model and manage the given EE undertaking is a non-trivial task. This chapter proposes a way to assist the inference of processes and to facilitate the selection and use of AF elements needed to accomplish EE projects. This is accomplished by assessing and organising AF elements into a structured repository (SR) using a generalised architecture framework (ISO15704:2000 Annex A) and by providing a “method to create methods” (a meta-methodology) for specific EE tasks that also guides the selection of AF elements from the SR. A brief introduction outlining the previously mentioned EE problems is followed by the description of the meta-methodology principle and of the assessment reference used. Next, a case study presents a sample application of the meta-methodology for a real EE project. The chapter closes with conclusions on the presented approach and a description of further work to refine and enrich the meta-methodology.

scholarly journals Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model

2019 ◽  
Vol 31 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Mladen Dragan Krstić ◽  
Snežana Radoman Tadić ◽  
Nikolina Brnjac ◽  
Slobodan Zečević
Keyword(s):  
Decision Making ◽  
Basic Element ◽  
Energy Costs ◽  
Multi Criteria Decision Making ◽  
Intermodal Transport ◽  
Time Savings ◽  
Decision Making Model ◽  
The Given ◽  
Selection Of

Intermodal transport enables energy, costs and time savings, improves the service quality and supports sustainable development. The basic element of the intermodal transport system is an intermodal terminal, whose efficiency largely depends on the subsystems’ technologies. Accordingly, the topic of this paper is the evaluation and the selection of the appropriate handling equipment within the intermodal terminal. As the decision-making on the handling equipment is influenced by different economic, technical, technological and other criteria, the appropriate multi-criteria decision-making (MCDM) methods have to be applied in order to solve the problem. In this paper, a novel hybrid model which combines the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) is developed. The defined model is applied for solving the case study of selecting adequate handling equipment for the planned intermodal terminal in Belgrade. The reach stacker is selected as the most adequate handling equipment since it suits best the characteristics of the planned terminal in the given conditions and in relation to the defined criteria. Solving the case study demonstrated the justification for using the MCDM methods to solve these kinds of problems as well as the applicability of the proposed MCDM model.

scholarly journals An expert system for underground coal mine planning

2017 ◽  
Vol 33 (2) ◽  
pp. 113-127
Author(s):  
Edyta Brzychczy ◽  
Marek Kęsek ◽  
Aneta Napieraj ◽  
Roman Magda
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Planning Process ◽  
Expert Knowledge ◽  
Coal Mines ◽  
Mine Planning ◽  
Hard Coal ◽  
Mining Operations ◽  
Mining Works ◽  
Main Components

Abstract In the current market situation, mining companies are faced with the necessity to take actions to improve the efficiency of the mining process. Some of these actions enforce a centralization of activities in the field of deposit economy and planning of mining operations in these companies. In the planning process with such scope the large knowledge of designers is required, which could be additionally supported by a knowledge base, supplied by information and data obtained during the completion of mining works, which also allows for use of the expert knowledge of other organizational units of the mine or the company. The paper presents an original expert system for mining works planning in the underground hard coal mines (MinePlanEx). The aim of the developed system is to support the designers of production planning in hard coal mines within the scope of: equipment selection, mining machinery combining into equipment sets and determining characteristic curves regarding the production results in the planned excavations. Knowledge of the system is represented by the rules selected with the chosen data mining techniques (association rules and classification trees) and obtained from experts. The first part of the paper presents a knowledge base, knowledge acquisition module and inference module which are the main components of the system. The second part contains an example of system operation.

scholarly journals Computer Systems Supporting the Management of Machines/Equipment in Hard Coal Mines. Case Study

2019 ◽  
Vol 27 (3) ◽  
pp. 138-143
Author(s):  
Witold Biały ◽  
Jiri Fries
Keyword(s):  
Computer Systems ◽  
Coal Mines ◽  
Spare Parts ◽  
Economic Effects ◽  
Production Costs ◽  
Hard Coal ◽  
Operation And Maintenance ◽  
High Production ◽  
Effective Use

AbstractComputer systems supporting the management of machines operation and maintenance in companies have been successfully applied in many branches of industry. Over the last few years these systems have been considerably transformed. It also seems that using them for operating mining machines in hard coal mines is inevitable, as maintenance generates high production costs. If implemented, the systems will allow for optimization of stocks, spare parts and materials, supplies, outsourced services as well as maintenance-repair works. Application of a system supporting the management of mining machines/equipment will also enable a better, more effective use of employees. As a result of these actions, the time needed for preparations and repair will be shortened, which will translate directly into the economic effects of mines.

scholarly journals STUDY TOWARDS THE TIME-BASED MCDA RANKING ANALYSIS – A SUPPLIER SELECTION CASE STUDY

2021 ◽  
Vol 19 (3) ◽  
pp. 381
Author(s):  
Bartłomiej Kizielewicz ◽  
Jakub Więckowski ◽  
Andrii Shekhovtsov ◽  
Jarosław Wątróbski ◽  
Radosław Depczyński ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Similarity Coefficient ◽  
Spearman Correlation ◽  
Analysis And Evaluation ◽  
Decision Making Processes ◽  
Highly Correlated ◽  
The Given ◽  
Ranking Analysis ◽  
Selection Of

Decision-making processes increasingly use models based on various methods to ensure professional analysis and evaluation of the considered alternatives. However, the abundance of these methods makes it difficult to choose the proper method to solve a given problem. Also, it is worth noting whether different results can be obtained using different methods within a single decision problem. In this paper, we used three selected Multi-Criteria Decision Analysis (MCDA) methods called COMET, TOPSIS, and SPOTIS in order to examine how the obtained rankings vary. The selection of material suppliers was taken into consideration. The equal weights, entropy and standard deviation methods were used to determine the weights for criteria. Final preferences values were then compared with the WS similarity coefficient and weighted Spearman correlation coefficient to check the similarity of the received rankings. It was noticed that in the given problem, all of the methods provide highly correlated results, and the obtained positional rankings are not significantly different. However, practical conclusions indicate the need to look for improved solutions in the correct and accurate assessment of suppliers in a given period.

scholarly journals On Mathematical Modelling of Automated Coverage Optimization in Wireless 5G and beyond Deployments

2020 ◽  
Vol 10 (24) ◽  
pp. 8853
Author(s):  
Pavel Seda ◽  
Milos Seda ◽  
Jiri Hosek
Keyword(s):  
Wireless Systems ◽  
Cellular Systems ◽  
Planning Tool ◽  
Coverage Optimization ◽  
Manual Tasks ◽  
Verification Methodology ◽  
The Given ◽  
Radio Planning ◽  
Selection Of

The need to optimize the deployment and maintenance costs for service delivery in wireless networks is an essential task for each service provider. The goal of this paper was to optimize the number of service centres (gNodeB) to cover selected customer locations based on the given requirements. This optimization need is especially emerging in emerging 5G and beyond cellular systems that are characterized by a large number of simultaneously connected devices, which is typically difficult to handle by the existing wireless systems. Currently, the network infrastructure planning tools used in the industry include Atoll Radio Planning Tool, RadioPlanner and others. These tools do not provide an automatic selection of a deployment position for specific gNodeB nodes in a given area with defined requirements. To design a network with those tools, a great deal of manual tasks that could be reduced by more sophisticated solutions are required. For that reason, our goal here and our main contribution of this paper were the development of new mathematical models that fit the currently emerging scenarios of wireless network deployment and maintenance. Next, we also provide the design and implementation of a verification methodology for these models through provided simulations. For the performance evaluation of the models, we utilize test datasets and discuss a case study scenario from a selected district in Central Europe.

scholarly journals Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model

2019 ◽  
Vol 29 (2) ◽  
pp. 221-247 ◽  
Author(s):  
Dragan Pamucar ◽  
Goran Cirovic ◽  
Darko Bozanic
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
High Stability ◽  
Multi Criteria Decision Making ◽  
Analysis Method ◽  
New Approach ◽  
The Given ◽  
Interval Valued ◽  
Selection Of

This paper presents a new approach for the treatment of uncertainty and imprecision based on interval-valued fuzzy-rough numbers (IVFRNs). IVFRNs make a decision making possible using only the internal knowledge from the data, using objective indeterminacy without the need to rely on models of any assumption. Namely, instead of subjectively entering external uncertainties, the structure of the given data is used. Taking into account the given assumptions, we developed an original multi-criteria model based upon the IVFR approach. In the multi-criteria model the traditional MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method was modified. The model was tested and validated on a case study, considering selection of the optimal landing operations point for overcoming water obstacles. The sensitivity analysis of the IVFRN MAIRCA model was carried out through 24 scenarios which showed that our results are of a high stability degree.

scholarly journals Selection of Employees for Performing Work Activities in Currently Used Ventilation Systems in Hard Coal Mining

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 408
Author(s):  
Aneta Grodzicka ◽  
Franciszek Plewa ◽  
Marcin Krause ◽  
Andrzej Figiel ◽  
Magdalena Rozmus
Keyword(s):  
Risky Behavior ◽  
Ventilation System ◽  
Coal Mines ◽  
Hard Coal ◽  
Work Activities ◽  
Number Of Factors ◽  
Hard Coal Mining ◽  
Synthetic Assessment ◽  
Selection Of ◽  
Ventilation Systems

The way in which rescue actions are carried out in a hard coal mine is conditioned by a number of factors, including the type, scale, and location of the hazard; location of employees at the danger and level of their endangerment; and the ventilation system used in the impacted area. In this article, the importance and necessity to take into account a human factor, specifically the propensity for risky behavior, alongside the selection of rescuers for rescue action is pointed out. As an introduction to the key research studies presented in this article, main ventilation systems used in hard coal mines are described and three real cases of natural hazard occurrences in hard coal mines are discussed. An analysis of these events has shown that the degree of difficulty of a rescue action depends, among other aspects, on the ventilation system applied. Next, a study covering a synthetic assessment of 25 mining rescuers taking into account the ‘risky behavior’ parameter is presented. The results were interpreted considering the—described earlier—cases of hazard occurrence in coal mines and ventilation systems applied there. For the research sample, a selection of rescuers to carry out actions in particular types of ventilation systems, taking as a criterion the mark they obtained in the synthetic assessment, is proposed.

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