Authors: G.A. Lipina, A.V. Lipin
Title of the article: Metodology of supervisory control and data acquisition (SCADA) systems emulation software development
Year: 2025, Issue: 6, Pages: 104-113
Branch of knowledge: 2.8.7. Theoretical foundations of the design of mining systems
Index UDK: 622.831
DOI: 10.26730/1999-4125-2025-6-104-113
Abstract: In this article discusses the relevance and methodology of development a software package for emulating supervisory control and data acquisition (SCADA) systems for training dispatch personnel. This softwere package is part of the digitalization of production, aiming to improve process efficiency and reduce associated costs by reducing the number of emergencies and overall downtime. Using the example of development one of the software package's elements (classes)—namely, a flotation machine emulator, a common type of mining and processing equipment—the article describes the step-by-step process for implementing this structural unit, and then the overall concept of the system's operation. The approach to class creation is described in several stages, such as: defining the key operational and system variables, defining the laws governing their interaction, defining generalizing the physical processes occurring during the operation of process equipment to obtain a reliable picture of its operation using a simplified mathematical framework. Although this article discusses only a general approach to developing a software system, without reference to a specific programming language, it draws on the implementation process of an existing software product and summarizes the experience gained in creating a workable model. The article includes screenshots of the software product. The realization of this idea can vary significantly, as can the level of abstraction when creating classes, and depends primarily on the goals and objectives of the developer.
Key words: emulation software package production process training mathematical model mineral processing coal industry flotation
Receiving date: 01.10.2025
Approval date: 15.11.2025
Publication date: 22.12.2025
This work is licensed under a Creative Commons Attribution 4.0 License.