Digital Twin of Solid Mineral Deposit

Nagovitsyn, O. V.; Stepacheva, A. V.

doi:10.1134/s1062739121060168

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…There are 2 works by [41,42] and other works with Nagovitsyn: [40] (Digital Twin of Solid Mineral Deposit) and [43] (Structure of Integrated Stability Monitoring in Open Pit Mining).…”

Section: Safety-conscious Managementmentioning

confidence: 99%

Generalized assessment of region environmental state based on mathematico-cartographic modeling with GIS

Belogurov

2024

E3S Web Conf.

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The developed methodology features an uneven distribution of indicator parameters in classes, based on principles of regulation and ecological laws. The problem is solved by the innovative method of mathematico-cartographic modeling, based on GIS-technology using the Geostatistical Analysis ArcGIS. All models are tested according to the Belogurov's RR-criterion of model suitability. Among the many logistic functions, the one for which the rules for the allocation of 5 classes are established, is selected. Mathematical analysis of the expression for the logistic curve made it possible to propose the new authors expression for its description. It contains such parameters as the values of the middle and width of the increasing section of this curve and its maximum value. This set is more visible and convenient for assessing the environmental state. It also corresponds to the typical pollution levels accepted by the Hydro meteorological Service: high and extremely high pollution levels. The maximum efforts and means to improve on the environmental state will be devoted to the first signs of high pollution, preventing the transition from class 2 to class 3. A well-reasoned concept of creating systems for monitoring dangerous trends and managing enterprises in accordance with mining safety conditions has been developed.

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“…There are 2 works by [41,42] and other works with Nagovitsyn: [40] (Digital Twin of Solid Mineral Deposit) and [43] (Structure of Integrated Stability Monitoring in Open Pit Mining).…”

Section: Safety-conscious Managementmentioning

confidence: 99%

Generalized assessment of region environmental state based on mathematico-cartographic modeling with GIS

Belogurov

2024

E3S Web Conf.

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“…The concept of DT can be traced back to 2002, when American scholar Michael Grieves mentioned ''virtual digital expression of physical products'' in a speech [24]. Gartner, the world's authoritative information technology consulting company, has listed DT as one of the top ten strategic technology development trends for four consecutive years [25], [26]. DT was first applied in the aerospace field.…”

Section: A Digital Twinmentioning

confidence: 99%

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method

et al. 2023

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In industry, accurate remaining useful life (RUL) prediction is critical in improving system reliability and reducing downtime and accident risk. Numerous data-driven RUL prediction approaches have been proposed and achieved impressive performance in RUL prediction. However, most of them are still faced with the dilemma of limited samples, and most of popular transfer learning and domain adaptive methods adopt single-source domain adaptation (DA), ignoring the domain-shift within source domain and failing to fully utilize the multi-condition data. This article proposes a model-data fusion life prediction method based on digital twin (DT) and multi-source regression adversarial domain adaptation (MRADA) to address the aforementioned issues. For data-driven life prediction model, the model-based DT technology among them offers a significant amount of multi-condition training data. The proposed MRADA fully utilizes the benefits of DT simulation data by using intra-group alignment strategy, inter-group alignment strategy, adversarial learning, and regressor alignment strategy to learn domain-invariant features and supervision from multiple sources. The experimental findings demonstrate that the proposed fusion life prediction method can successfully address the issue of small samples and improve the accuracy of rolling bearing life prediction results.INDEX TERMS Digital twin, domain adaptation, remaining useful life prediction, small sample size.

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“…This can be especially problematic for mining companies running legacy systems dating back by decades. DT development in the minerals industry is also facing high levels of unpredictability due to large geological uncertainties and process variations (Hodgkinson and Elmouttie 2020; Nagovitsyn and Stepacheva 2021; Okol'nishnikov et al 2021). Unlike the manufacturing industry which produces standardised products under controllable working conditions, the demanding working conditions in the minerals industry call for a more flexible approach to DT implementation that puts more emphasis on the safety and well-being of its people and communities while ensuring the accuracy of the virtual replica (Stothard 2023).…”

Section: Introductionmentioning

confidence: 99%

Digital twins in the minerals industry – a comprehensive review

Qu,

Kizil,

Yahyaei

et al. 2023

Mining Technology: Transactions of the Institutions of Mining a

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Digital Twins (DT) have become popular in various industries to solve complex problems. A true DT allows for bidirectional real-time data flows between the physical and virtual worlds.The term DT was often overused, leading to confusion about its capabilities therefore this paper provides a review of the current state of DT and its applications in the minerals industry.Existing literature shows a slow adoption of DTs in the minerals industry, which is largely due to challenges associated with geological unpredictability, legacy system integration, cost, skill gaps, cybersecurity, and lack of standards.Combining immersive visualisation with real-time spatial computer graphics could improve the usability and acceptance of DTs in the minerals industry which has been used successfully in training while underexplored for operational scenarios. The study concludes by highlighting the need for further research to understand the effectiveness of such an approach in mineral operations.

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Digital Twin of Solid Mineral Deposit

Cited by 7 publications

References 6 publications

Generalized assessment of region environmental state based on mathematico-cartographic modeling with GIS

Generalized assessment of region environmental state based on mathematico-cartographic modeling with GIS

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method

Digital twins in the minerals industry – a comprehensive review

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