International Journal of Advanced Studies (Mar 2021)

AUTOMATED CONTROL SYSTEM FOR STONE CRUSHING PLANT

  • Vladimir I. Myasnikov,
  • Dmitry V. Morokhin,
  • Artem V. Ivanov,
  • Roman A. Ivanov

DOI
https://doi.org/10.12731/2227-930X-2021-11-1-45-58
Journal volume & issue
Vol. 11, no. 1
pp. 45 – 58

Abstract

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The issues of automation of production processes are currently not losing their relevance. Many existing devices and systems operate in manual or semi-automatic mode, which leads to known problems. The methods of connecting system elements and the choice of protocols for transmitting signals between them are quite well-established, however, due to the emergence of new devices and communication channels with improved characteristics, the issues of choosing methods and algorithms for the operation of such systems require modification. As a criterion for the quality of the constructed system, an assessment of the reliability of the system is used, provided that the specified time constraints on the performance of the main tasks are met. The elements of novelty of the presented solution are the use of domestically produced equipment at all stages of the system operation, as well as some solutions for the choice of communication channels and signal transmission protocols. Note that the main elements of novelty relate to the software implementation of the system, the description of which is beyond the scope of this article and is planned to be published in a separate work. Purpose. The aim of the work is to develop the structure of an automated control system for a stone crushing plant. Methodology. The work uses the methods of systems analysis, the theory of signal transmission and the theory of algorithms. Results. The use of the presented solution made it possible to implement a simpler and more efficient hardware and software model of the control system, which will reduce the number of failures of various subsystems of the stone crushing plant. In addition, some new features have been introduced, such as the ability to remotely control and receiving data to accounting software. Practical implications. The obtained results are advisable to be applied by production entities carrying out activities, one of the elements of which is the use of crushing plants and complexes.

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