Mining Industry Journal (Gornay Promishlennost)最新文献

{"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":"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":"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":"A tool for optimizing mining units for surface block mining models","authors":"A. Bilin, A.V. Kornienko","doi":"10.30686/1609-9192-2023-5s-113-118","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-113-118","url":null,"abstract":"The MINEFRAME mining and geological information system features an algorithm and a software module to create bench-wise mining units for surface mining operations, which optimizes losses and dilution with due account for the spatial variability of the ore and gangue rock composition. The software module is based on both wireframe and pure block models, and takes into account a given development direction. The algorithm defines the mineable reserves of the deposit as a set of mining unit models. The module determines the expected levels of rational loss and dilution for each mining units of the bench, for each ore body, for the bench and for the open pit in general. The mining units also become the reference points for the design of blasting operations and the basis for the development of special measures to modify the parameters of the mining system locally. The obtained mineable reserves can be used in defining the pit boundaries and planning mining operations, and the contours of mining units will guide the design of the blast blocks. The algorithm can also be used to clarify the pit boundaries in the footwall of a sloping deposit and for economic comparison of the development options.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"14 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168948","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":"Predictive assessment of pit wall stability in a tectonically stressed rock mass","authors":"I. Semenova, I. Avetisyan","doi":"10.30686/1609-9192-2023-5s-93-99","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-93-99","url":null,"abstract":"The article presents an approach to determining the stability of the pit walls and benches using a set of methods. The results of numerical modeling of the stress-and-strain state are presented for the rock mass in vicinities of one of the quarries in the Khibiny Apatite Arc. Calculations were made using elastic approach to a three-dimensional finite-element model which incorporates basic geological, mining engineering and geomechanical data. The impact of gravitational and tectonic stress field is demonstrated on the stability of the pit wall and benches during its development. Potentially unstable areas have been determined in the wall and benches of the open pit design contour. The identified features of the stress-and-strain state of the rock mass in vicinities of the pit wall make it possible to increase the justification level of technical solutions for the development of surface mining operations and to design preventive measures that would ensure the stability of structural elements of the open pit.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"69 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169302","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":"Automation of seismic events classification during seismic monitoring at a coal mine using machine learning","authors":"K.V. Romanevich, S. N. Mulev","doi":"10.30686/1609-9192-2023-5s-58-64","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-58-64","url":null,"abstract":"The paper is dedicated to the development of an algorithm for automatic classification of geodynamic processes in the context of monitoring seismic activity in mines using machine learning methods. The importance of classifying geodynamic processes is noted in terms of understanding the nature of seismic phenomena, identifying their sources, assessing the potential hazard as well as their impact on the environment and the infrastructure of underground structures. The paper describes an algorithm for analyzing seismic activity based on the data obtained as the result of recording seismic events using the hardware complex and the GITS2 seismic monitoring software in a coal mine. The paper briefly examines the key artificial intelligence methods used to control and predict hazardous geodynamic phenomena. Particular attention is paid to the development of a machine learning model based on decision trees that demonstrates high accuracy in classifying seismic events. The classification accuracy of the developed model is 98,39% on the training set and 98,41% on the test set. This result indicates the high generalization ability of the model on new data and the absence of overfitting. Testing the algorithm on new data entering the system also confirms the high accuracy in classification of seismic event types with the level of 83–93%. This highlights the efficiency of machine learning methods in mine seismic control. After its trial operation, the developed machine learning model will be implemented in the GITS2 monitoring system, that will allow classification of the incoming seismic events in automatic mode.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"10 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169599","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":"A comprehensive analysis of results obtained in monitoring pit bench stability using geophysical survey methods","authors":"V. Rybin, A. Dyakov, Yu.A. Startsev, D.V. Zaporozhets, K.N. Konstantinov, A. Kalashnik","doi":"10.30686/1609-9192-2023-5s-87-92","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5s-87-92","url":null,"abstract":"The Response to challenges related to safety in open-pit mining of mineral deposits is based on continuous monitoring of the pit wall stability as a whole as well as the stability of problematic areas of the pit wall and individual benches. Control of the geomechanical state of the adjacent rock mass using local geophysical methods plays an important role in the overall monitoring of stability of the open-pit elements. The control allows studying in more detail the state of benches and groups of benches in critical areas of the open-pit and developing measures to ensure production safety on this basis. One of the main interdependent factors affecting the pit wall stability is, on the one hand, the size of the disturbed zone that depends on both natural and mining-induced rock fracturing; on the other hand, the level of ground water changing over time depending on the season. The importance of joint account of the factors above has stipulated to propose a comprehensive methodical approach to study water saturation and structural disturbance of rocks in the wall of a deep open-pit. The method consists in periodic, seasonally synchronized, geophysical studies using seismic profiling and GPR sounding and allows identifying the areas of high water saturation and disturbance in the adjacent rock mass. The methodological approach makes it possible to estimate the effect of the main time-varying impact factors (water saturation, natural and mining-induced disturbance, anomalies of physical properties of the rock mass) on the slope stability and provides a scientific and technical basis for developing engineering measures to improve the safety of deep open-pit mining.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171077","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":"Hypotheses on optimization of mining systems operating parameters using predictive analytics","authors":"V.N. Zakharov, M. Rylnikova, D. Klebanov, D. Radchenko","doi":"10.30686/1609-9192-2023-5-38-42","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5-38-42","url":null,"abstract":"The article assesses possible approaches to enhancing the efficiency of data collection to manage mining systems and it proposes an option to formulate hypotheses on optimizing their operating parameters in dynamically changing mining and geological, mining engineering and external conditions. The method of formulating and verifying hypotheses on implicit relationships between the parameters of mining and related systems appears to be an efficient tool for targeted data collection from digital sources and their storage for use in predictive analytics. The second approach is creation of artificial intelligence systems to work with data that aim to identify deviations and adjust the operating parameters of the mining system based on retrospective analysis of the collected arrays of historical information, without having hypotheses formulated in advance when managing the mining system. In addition to hypotheses on the regularities and relationships between the mining system parameters, the article emphasizes the importance of forecasting and accounting for the extent of changes in the parameters of the related systems. The related systems mean such systems as the environment and society, which interact with the mining systems in time and space. Moreover, the functioning of the latter, due to the global scale of man-caused transformation of the lithosphere, results in inevitable changes in the state of the related systems. Only the big data technologies can make it possible to reveal implicit regularities in changes in the parameters of each adjacent system, including identification of rational indicators of the mining systems operation. The paper emphasizes the data collection based on the principle of capturing all changes of the information from the digital sources. Based on this principle, we propose to standardize the approach to data collection for mining systems management","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"BME-30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139274133","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":"Technological equipment control system using virtual reality devices","authors":"S. Kizilov, M. Nikitenko, D. Khudonogov, B. Neogi, D.O. Verkhovtsev","doi":"10.30686/1609-9192-2023-5-124-129","DOIUrl":"https://doi.org/10.30686/1609-9192-2023-5-124-129","url":null,"abstract":"The article describes the developed technology of remote parameter monitoring and equipment control using virtual reality. The advantages of this technology and the VR devices have been considered in relation to the conventional way to visualize technological information of the SCADA systems on the screens. A SCADA prototype was developed based on a 3D interface displayed by means of a VR headset for operator to interact with the virtual objects. Scaled operating models of the mechanized roof support sections as part of the longwall system with servo-drives that ensure thrust and unloading of the section were used as technological equipment. The virtual control interface both reproduces the control objects and displays their response to the control inputs in an interactive mode. The paper presents a block diagram of the algorithm that features interaction between the interactive virtual objects and the physical models; a structural diagram of the software data exchange between the virtual reality and the physical objects, the front control panel on the operator's PC screen and the control interface from the virtual environment. The technology of process equipment control described in the article and based on displaying a 3D visualization of the SCADA interface allowed to change the level of operator's \"immersion\" into the workflow, enhancing concentration on the controlled parameters.","PeriodicalId":506182,"journal":{"name":"Mining Industry Journal (Gornay Promishlennost)","volume":"38 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139275720","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}