Mining Industry Journal (Gornay Promishlennost)最新文献

{"title":"Improvement of methods and means of geomechanical monitoring based on digital technologies","authors":"I. Rasskazov, Iu.V. Fedotova, P. Anikin, D. Migunov, A.V. Konstantinov","doi":"10.30686/1609-9192-2023-5s-18-24","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-18-24","url":null,"abstract":"The article discusses methods and technical means of instrumental assessment and control of rockburst hazard and technogenic seismicity during underground mining of ore. It is shown that in conditions of rockburst manifestation and anthropogenic seismicity, complex geomechanical monitoring with the use of a number of complementary methods and technical means is of key importance. The principles of measuring and computing complex construction and organization of integrated monitoring are disclosed using the case of a system created at the geodynamic testing sites of the area of the Streltsovsky and Dalnegorsky ore fields. The features and technical characteristics of measuring as well as software tools included in the monitoring system are listed. Algorithms and software have been developed to filter man-made interference and isolate useful signals, improve the accuracy of location and determination of parameters of acoustically active zones, processing and presentation of monitoring data using modern digital technologies. The scientific and methodological approaches to the study of extremely stressed complex-structured geological environment and the prediction of the hazardous dynamic manifestations of rock pressure in them, including those based on the isolation and parametrization of geomechanical fields and foci of destruction formed in a rockburst hazardous rock mass, are described. The results of complex geomechanical monitoring at a number of rockburst hazardous mines in Russia are presented and the possibility of effective management of rock pressure in rockburst hazardous conditions is shown.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"146 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methodical approach to studies of magnetic interaction of fine particles in an aqueous suspension using computer simulation","authors":"S. Ostapenko, A.S. Opalev","doi":"10.30686/1609-9192-2023-5s-142-149","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-142-149","url":null,"abstract":"The need to increase the efficiency of mining operations determines the relevance of studying the properties of fine mineral particles for their extraction and reduction of environmental pollution. The development of approaches to studying magnetic interaction of fine particles is of scientific and practical importance and is associated with the complexity of calculating the superposition of their fields when solving the problem of controlling the magnetic properties of a suspension. A computer model of the dynamics of magnetic particle interaction was developed with account for their aggregation under the impact of the magnetic dipole-dipole interaction and the destruction of aggregates during thermal (Brownian) motion in order to predict the magnetic properties of the suspension using the example of magnetite deposits of the Zaimandrovsky iron ore region. The calculation shows that the electrostatic and dispersion interactions do not have a significant effect on the interaction dynamics of micron and submicron particles of magnetite with account of the experimentally measured zeta potential and the Hamaker's constant. A procedure has been developed for calibrating a computer model of the interaction dynamics of magnetic particles using the temperature dependence of the coefficient of translational diffusion of magnetite particles and the concentration dependence of the magnetic susceptibility of a suspension. An array of calculated values of the diffusion coefficient of the model particles and the initial magnetic susceptibility of their system is formed in a wide range of computer model parameters. A procedure has been developed for linking the calculated and experimental data by varying the normalization parameters of the particle size, viscosity of the medium, and thermal energy in order to minimize the maximum discrepancy between the values. The necessity is established of taking into account the change in magnetic properties with a decrease in the size of magnetite particles during the calibration of the magnetic susceptibility of a model system. The developed methodological approach ensures good convergence of the calculated and experimental data and makes it possible to visualize the aggregation of the model particles as the result of dipole-dipole interactions. The developed computer model of the interaction dynamics of magnetic particles can be used to study the effect of an external magnetic field on the aggregation ability of fine magnetite particles in order to control their extraction in separation processes.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"187 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geoinformation technologies to support mining processes","authors":"I.V. Sokolov, S. Kornilkov, A. Panzhin","doi":"10.30686/1609-9192-2023-5s-41-46","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-41-46","url":null,"abstract":"The paper presents the tasks, methods and results of comprehensive research in geoinformatics and in development of raw material base of the mining and metallurgical complex that are conducted at the Institute of Mining of the Ural Branch of the Russian Academy of Sciences. The main objectives of the research include evaluation of methods of information and analytical support for the use of subsurface resources, means and methods of multi-tier processing of geodata, digital modeling of geo-objects and complex geomonitoring; substantiation of methods of complex geomonitoring that ensure the integrated development of subsurface resources of the Earth with a safe level of anthropogenic impact on the geo-environment; development of methods of information and analytical support for subsurface resources to solve the challenges of integrated development of mineral raw materials. As the result, criteria for assessing the protection of mining territories are justified; the intensity of the self-restoration process of areas disturbed by mining operations is estimated; a methodical approach to the accumulation and processing of geodynamic and geoinformation monitoring data from mining territories in mutual geospatial correlation is proposed; a systematization of factors, objects and types of risks in subsoil use that generate negative effect. This approach helps to justify the range of geodata required to assess the probability of a specific type of risk.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"94 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information support for monitoring of natural ecosystems disrupted during the development of geo-resources, at the eco-investment approach to their restoration","authors":"S. Mesyats, A.A. Petrov","doi":"10.30686/1609-9192-2023-5s-107-112","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-107-112","url":null,"abstract":"Exploitation of georesources involves the haulage and storage of a large volume of rocks, which has a negative impact on the natural environment, particularly leading to the destruction of phytocenoses – the main component of natural landscapes. The relevance of the problem of preserving a sustainable state of the biosphere continually increases as its productivity declines amidst the growth of georesource production and consumption, highlighting the need for the restoration of natural ecosystems in light of the modern understanding of their role in ensuring sustainable development of civilization. Based on the study of self-organizing nature of soils at the Mining Institute of the Kola Science Centre of the Russian Academy of Sciences, a methodology and technology for restoring disrupted natural ecosystems in the exploitation of georesources has been justified and developed in accordance with the principle of their self-organization, through the creation of a biologically active environment. The formation of a biologically active environment through the establishment of seeded cereal phytocenosis without the application of a fertile layer represents an eco-investment approach, aimed at increasing the energy potential of the system-forming biota function to accelerate the restoration process of natural ecosystems. The large areas of disturbed land in the mining industry and the multifactorial impact of industrial enterprises on the natural environment determine the relevance of an integrated assessment of the dynamics of natural ecosystem restoration based on terrestrial and satellite data. The information support for monitoring the restoration of natural ecosystems disrupted by the exploitation of georesources includes data on the stages of biological organization of the rock: the state of disturbed land and the resource potential of their self-restoration, the terrestrial study of organic matter accumulation dynamics, genetic parameters, and functional indicators of developing soils, geobotanical descriptions of the forming phytocenosis in the forest stage of successional seeded cereal phytocenosis without the application of a fertile layer, and morphophysiological characteristics of dominant plants in the surrounding natural environment in the forming phytocenosis. Satellite data characterize the material composition of the rock, the vegetation index, and the moisture stress index of the forming phytocenosis.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"59 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancement of the SIGMA GT CAE system for numerical modeling of the stress-and-strain states","authors":"S.V. Dmitriev, I. Semenova, A. Shestov","doi":"10.30686/1609-9192-2023-5s-135-141","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-135-141","url":null,"abstract":"The paper presents the directions and results of developing the Sigma GT software suite designed for numerical modeling of the stress-and-strain state of a rock mass using the finite element method. It describes the process of computational module optimization to ensure the possibility of refined simulation in subareas of the original model. The process of storing coarse grid matrices is upgraded, which optimizes the use of computational resources when calculating the stress-and-strain state of large-scale models. The trial-and-error procedure has been improved up to the system of hierarchical interrelation of different scale models, which allows to actualize the boundary conditions of individual block models when modifying the field model configuration. An extensible library of local models is presented, which makes it possible to quickly generate models of mining system elements with adequate boundary conditions. The expandable functionality of the software product is demonstrated, which allows to accelerate the process of finite element model creation. This tool allows the software user to generate local models of various configurations, minimizing time consumption and possible errors in preparation of the finite element mesh. Application and functionality of tools for post-processing of modeling results, both in 2D and 3D form, are described. Export of stress isolines allows saving the calculation data in the format used at the mining enterprise and combining them with the maps of mine working. 3D visualization of the calculated data contributes to a comprehensive assessment of the stress-and-strain state vector field and identification of the areas with critical stress and strain concentrations under a certain mining development option.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of methods to prepare and transform information entering data repositories for effective management of the mining system","authors":"V.N. Zakharov, D. Klebanov, M.A. Makeev, D.N. Radchenko","doi":"10.30686/1609-9192-2023-5s-10-17","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-10-17","url":null,"abstract":"The article assesses the existing methods of data collection and processing in the industry and proposes an alternative option of data processing to manage mining engineering systems at various stages of their operation. It is demonstrated that the formed volume of information that comes with different frequency rates and requires dedicated processing, structuring and analysis methods forms a system of big data and serves to enhance the efficiency of implementing geotechnical processes. A possible unified structure of data acquisition from digital sources of mining engineering system is presented. An analysis is provided of possible methods to process data for analytical purposes and for searching implicit dependencies and solving problems of predictive analytics. Tools for data collection and storage are proposed to create a unified system of big data analysis for management of mining engineering systems. It is stated that in order to create a unified analytical system for collection of digital data from a mining system, it is necessary to use standard industrial protocols for data collection and storage, for instance MQTT, used as an industry standard in the Industrial Internet of Things (IIoT) systems in accordance with requirements of ISO/ IEC 20922:2016. Storage requires the use of a conventional queue broker architecture, as well as a tool for working with the time series which is required to apply machine learning and big data methods. The approach to data classification in terms of the data acquisition speed proposed in the article makes it possible to standardize the data handling principles. Since the volume of transmitted data does not depend on the frequency of acquiring information from a digital source, it is proposed to transmit all the generated data from a digital source for subsequent search of implicit dependencies between the data. It is noted that application of specific methods and algorithms to analyze data of a mining system depends primarily on the task set which is often formed as a hypothesis to be tested by identifying implicit dependencies between different data sources. In order to improve the efficiency of managing a mining system at all the stages of field development, it is proposed to apply the ELT approach, which can be an important advantage in terms of controlling the technological processes of the mining system in the future.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"129 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpretation of the results of georadar sounding of a rock mass using a digital image","authors":"A. Kalashnik, A. Dyakov","doi":"10.30686/1609-9192-2023-5s-119-124","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-119-124","url":null,"abstract":"A methodological approach to interpreting the results of georadar sounding of a rock mass using a digital image is considered. The studies carried out have established that during the georadar probing of the rock masses, distortion of the induced electromagnetic field is observed in areas with different physical properties of the rocks (such as the rock mass heterogeneity, rock fracturing, zones of increased water saturation). The creation of a digital image of the electromagnetic field caused by ground penetrating radar sounding using computer modeling made it possible to significantly reduce the uncertainty in interpretation of the obtained field data through understanding the mechanism of formation of the wave characteristics and comparing synthetic data with the in-situ data. Regularities in formation of the wave patterns of the ground penetrating radar model data (changes in the in-phase axes and amplitude characteristics of the signal) of a rock mass containing structural heterogeneities have been identified. When sounding such a rock mass with the georadar, reflections from the edges of heterogeneities appear in the wave patterns in the form of hyperbola branches. The intensity of the wave field distortion is determined by the contrast of the physical properties of rocks, as well as by the spatial orientation and depth of the heterogeneity, which is a key parameter of georadar sensing. It has been established that the variability of the physical properties of rock masses near disturbances introduces significant distortions into the parameters determined by georadar sounding, including the angle of incidence of disturbances. The considered methodological approach provides the basis for creating a digital image of georadar probing of a rock mass.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"52 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital technologies in mining: import substitution and technological independence","authors":"S.V. Lukichev","doi":"10.30686/1609-9192-2023-5s-04-09","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-04-09","url":null,"abstract":"Formation of the Russian mining software market was lagging behind the global market due to the collapse of the USSR and changing the economy's development vector from technological to raw materials. Such reorientation has led to a significant reduction in financing the development of Russian mining software, which during many years was significantly promoted by the perception of a considerable number of specialists that the domestic developers were not able to reach the world level for many years. The result of these processes, which have been developing for the last 30 years, is the current state of the Russian mining software market, which is dominated by foreign products. The state of the market is perfectly reflected by mining and geological information systems, which act as backbone systems in the formation of digital technology for engineering support of mining operations. The share of imported mining and geological information systems in the Russian market is 90-95%, which in conditions of the sanctions leads to slowing down the digital transformation of the mining industry. It is possible to change this situation by uniting the efforts of domestic software developers based on creating a network structure in the form of a digital platform that provides third-party software developers a possibility to integrate their tools through a library of API-functions into a single digital environment that realizes a basic set of system and working tools. It is proposed to create this digital platform on the basis of the Russian MINEFRAME mining and geological information system, which has extensive functionality based on 3D modeling and multi-user work within a local area network.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"56 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research of coal mining technology in complex ground conditions using mathematical modeling","authors":"A. Starodubov, V.I. Klishin, A. Kadochigova, A. Kaplun","doi":"10.30686/1609-9192-2023-5s-47-52","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-47-52","url":null,"abstract":"Future development of mining operations along with creation of new mines, will be supported by modernization and reconstruction of existing enterprises. Creation of mechanized coal face systems that ensure complete extraction of coal reserves with the supply of occupational safety is prospective. One of the most effective technologies for the development of high coals is their mining from wall to wall with drawing coal from the roof layer into the under-cutting layer. Research of a new design of mechanized support was carried out using the developed simulation model based on the discrete elements method in the Rocky DEM environment. The amount of coal losses remaining in the mined-out space is determined. The opportunity of using the developed model is demonstrated for analyzing the flows of the coal-bearing mass in the implementation of the technology of coal mining from high flat-lying coal seams to identify new patterns and ways to improve the efficiency of the technology before its implementation in coal mines.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of mining and geological information system in the present-day situation in the Russian mining industry","authors":"O.V. Nagovitsyn","doi":"10.30686/1609-9192-2023-5s-35-40","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-35-40","url":null,"abstract":"The article presents an approach to the development of the MINEFRAME mining and geological information system. The current situation in the mining industry, the foreign policy challenges require to use digital technologies as a driver to improve labor productivity and industrial safety. One of the most important classes of software used at mining enterprises are mining and geological information systems, i.e. the information systems that offer complex automation in solving geological, mine surveying and technological tasks when working with the vector, wireframe and block models of mining system facilities. The mining and geological information systems make it possible to have reliable knowledge of the deposit at each stage of exploration, design and operation of the mine through the use of 3D geological and geomechanical models, determination of distribution patterns for useful and harmful components of minerals for comprehensive analysis of scenarios of the sequence of field development, selection of the most efficient mining technologies and equipment, assessment of the risk level for design solutions and their economic efficiency. This approach fully corresponds to the trends of digital transformation declared by the government of the Russian Federation and represents a new stage of automation and informatization of economic activities and transition to digital technologies.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"4 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}