About some issues of developing Digital Twins for the intelligent process control in quarries

P. 3210–3216.

Deryabin S., Temkin I., Zykov S. V.

The present work is devoted to the problems of Digital Twin development of industrial enterprises in the field of mining. The main goal of this article is to formulate the principles of designing platform solutions for the integration of the most important functional elements that ensure the implementation of technological processes of a full production cycle. Various classification schemes for heterogeneous, poorly structured information spaces that form the distributed digital environment of a mining enterprise are proposed. Based on the results of structural and functional modeling, a number of principles and requirements are formulated for the implementation of the Digital Twin technology of the transport and technological process in quarry. A conceptual diagram of the functional structure of the Digital Twin platform is proposed, taking into account the need to include Industry 4.0 technologies such as Industrial Internet of Things, Big Data (including Predictive Analytics and Machine Learning), Autonomous Haulage Systems and Dynamics 3D Optimization Modeling. Some aspects of the implementation and functioning of the prototype version of the Digital Twin platform are considered in terms of the use of instrumental solutions based on the Unity visual modeling environment.

Keywords: predictive analytics, Industrial Enterprise, Industrial Internet of things, platform solution, platform design, Optimization Modeling

In book

Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020

Vol. 176. , Elsevier, 2020.