Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach

The paper presents a structure of the digital environment as an integral part of the “digital twin” technology, and stipulates the research to be carried out towards an energy and recourse efficiency technology assessment of phosphorus production from apatite-nepheline ore waste. The problem with their processing is acute in the regions of the Russian Arctic shelf, where a large number of mining and processing plants are concentrated; therefore, the study and creation of energy-efficient systems for ore waste disposal is an urgent scientific problem. The subject of the study is the infoware for monitoring phosphorus production. The applied study methods are based on systems theory and system analysis, technical cybernetics, machine learning technologies as well as numerical experiments. The usage of “digital twin” elements to increase the energy and resource efficiency of phosphorus production is determined by the desire to minimize the costs of production modernization by introducing advanced algorithms and computer architectures. The algorithmic part of the proposed tools for energy and resource efficiency optimization is based on the deep neural network apparatus and a previously developed mathematical description of the thermophysical, thermodynamic, chemical, and hydrodynamic processes occurring in the phosphorus production system. The ensemble application of deep neural networks allows for multichannel control over the phosphorus technology process and the implementation of continuous additional training for the networks during the technological system operation, creating a high-precision digital copy, which is used to determine control actions and optimize energy and resource consumption. Algorithmic and software elements are developed for the digital environment, and the results of simulation experiments are presented. The main contribution of the conducted research consists of the proposed structure for technological information processing to optimize the phosphorus production system according to the criteria of energy and resource efficiency, as well as the developed software that implements the optimization parameters of this system.

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Digital Twin for Designing and Reconfiguring Human–Robot Collaborative Assembly Lines

Applied Sciences ◽

10.3390/app11104620 ◽

2021 ◽

Vol 11 (10) ◽

pp. 4620

Author(s):

Niki Kousi ◽

Christos Gkournelos ◽

Sotiris Aivaliotis ◽

Konstantinos Lotsaris ◽

Angelos Christos Bavelos ◽

...

Keyword(s):

Production System ◽

Assembly Lines ◽

Flexible Assembly ◽

Digital Twin ◽

Collaborative Assembly ◽

Geometrical Information ◽

Line Level ◽

Dual Arm ◽

Different Levels

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D–3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.

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Application of maglev technologies in the european northeast and the cisural north of Russia

Transportation systems and technology ◽

10.17816/transsyst20173354-63 ◽

2017 ◽

Vol 3 (3) ◽

pp. 54-63 ◽

Cited By ~ 1

Author(s):

Evgeny U Sundukov ◽

Sergej M Kochergin ◽

Leonid F Selivanov

Keyword(s):

System Analysis ◽

Practical Importance ◽

Passenger Transport ◽

Liquid Hydrocarbons ◽

Water Currents ◽

Railway Line ◽

Gas Processing ◽

The North ◽

Cargo Transport ◽

Processing Plants

Technologies of small-sized maglev transport in trestle execution are offered. Work purpose: to define possible options of use of maglev-technologies in the north of Russia. Methods: system analysis, comparison, analogy. Result: magnetolevitation trestle technologies are recommended for realization. Practical importance of work: transport communications from gas processing plants on the coast of Gulf of Ob to a railway line of Obskaya-Bovanenkovo can be realized, the rupture of an automobile highway Usinsk - Naryan-Mar can be eliminated, protection of overpasses and vehicles against increase in levels of water currents can be provided. Conclusion: the trestle of arch type can be used for conveyance: small-sized cargo transport modules (and passenger transport modules); special vesseles (barrels, cylinders, minitanks, etc.) for transportation of liquid hydrocarbons; cars of normal dimensions if all of them are equipped with sources of magnetic field.

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METHODOLOGICAL ASPECTS OF FUEL PERFORMANCE SYSTEM ANALYSIS AT RAW HYDROCARBON PROCESSING PLANTS

Dynamics of Systems Mechanisms and Machines ◽

10.25206/2310-9793-2017-5-4-158-164 ◽

2017 ◽

Vol 5 (4) ◽

pp. 158-164

Author(s):

A. V. Kulbjakina ◽

◽

I. V. Dolotovskij ◽

Keyword(s):

System Analysis ◽

Fuel Performance ◽

Hydrocarbon Processing ◽

Processing Plants ◽

Performance System ◽

Methodological Aspects

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Construction of Intelligent Integrated Model Framework for the Workshop Manufacturing System Via Digital Twin

10.21203/rs.3.rs-554403/v1 ◽

2021 ◽

Author(s):

Zhongyu Zhang ◽

Zhenjie Zhu ◽

Jinsheng Zhang ◽

Jingkun Wang

Keyword(s):

Real Time ◽

Production System ◽

Manufacturing System ◽

System Optimization ◽

Production Cycle ◽

Model Framework ◽

The Real ◽

Digital Twin ◽

Twin Model ◽

Information Layer

Abstract With the drastic development of the globally advanced manufacturing industry, transition of the original production pattern from traditional industries to advanced intelligence is completed with the least delay possible, which are still facing new challenges. Because the timeliness, stability and reliability of them is significantly restricted due to lack of the real-time communication. Therefore, an intelligent workshop manufacturing system model framework based on digital twin is proposed in this paper, driving the deep inform integration among the physical entity, data collection, and information decision-making. The conceptual and obscure of the traditional digital twin is refined, optimized, and upgraded on the basis of the four-dimension collaborative model thinking. A refined nine-layer intelligent digital twin model framework is established. Firstly, the physical evaluation is refined into entity layer, auxiliary layer and interface layer, scientifically managing the physical resources as well as the operation and maintenance of the instrument, and coordinating the overall system. Secondly, dividing the data evaluation into the data layer and the processing layer can greatly improve the flexible response-ability and ensure the synchronization of the real-time data. Finally, the system evaluation is subdivided into information layer, algorithm layer, scheduling layer, and functional layer, developing flexible manufacturing plan more reasonably, shortening production cycle, and reducing logistics cost. Simultaneously, combining SLP and artificial bee colony are applied to investigate the production system optimization of the textile workshop. The results indicate that the production efficiency of the optimized production system is increased by 34.46%.

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Ecosystem designing for the development of universities in a digital environment

Perspectives of science and education ◽

10.32744/pse.2021.1.34 ◽

2021 ◽

Vol 49 (1) ◽

pp. 491-505

Author(s):

Natalia A. Simchenko ◽

◽

Maxim L. Berkovich ◽

Keyword(s):

System Analysis ◽

Digital Transformation ◽

Digital Environment ◽

University Management ◽

Economic Agents ◽

Technological Basis ◽

Main Research ◽

Social Mission ◽

Network Platform ◽

The University

The digitalization of economic relations determines the particular importance of personnel training on a qualitatively new technological basis, which is inextricably linked with the study of the problem of ecosystem designing for the development of universities in a digital environment. The foundations of the systems theory, the theory of education economics, the methods of system analysis, factor analysis, and economic and mathematical modeling were used for studying the problem of ecosystem development for universities. The conducted studies made it possible to obtain the following main research results: the ecosystem principles for organizing the provision of higher education services, representing the integrity of the university system based on network interactions of a set of various participants, as well as objects, projects, processes, and environments, were proposed. An approach to designing a strategy for the development of universities, based on the scenario forecasting of the receptivity of digital economy competencies by students, teachers, and partners of universities in the medium term, is proposed based on the organigram for the implementation of the project of matrix digital transformation of the adhocratic university hierarchy. The conclusions stating that the design of the ecosystem of the development of universities should be aimed at the implementation of the social mission of the university in the region and the transformation of the ecosystem of the region as a whole are formulated. As prospects for further research, the study of the prerequisites for generating the effects of designing the development of a university ecosystem based on the network platform interaction of the economic agents of the region/territory, as well as the implementation of digital transformation projects of the university management system, is considered.

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