Modeling the highly effective object for continuous compaction control of the cyber-physical road-construction system


Тип публикации: научное издание

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-66077-2_14

Ключевые слова: continuous compaction control, cyber-physical system, dynamic model, highly effective working body, paver, state-space

Аннотация: Compaction of hot mix asphalt (HMA) is one of the most important processes in the construction of road surfaces. The technologies of continuous compaction control (CCC) and intelligent compaction (IC) are based on algorithmic and software–technical means for processing informative signals and presenting the results of determining mПоказать полностьюaterial compaction indicators. One of the possible reserves for increasing the efficiency of compaction is an increase in the compaction coefficient by the working bodies of stackers. The most effective management of road construction in real-time is carried out when asphalt pavers and road rollers interact as part of the existing cyber-physical system. In this chapter, using the state space method, a mathematical model of the HMA compaction process with a highly efficient stacker working body as an object of continuous nondestructive compaction control is obtained. The use of the state space method provided a clear formalization and automation of computational procedures, increasing the efficiency of theoretical research of the object using modern software. The model takes into account the design elements of the working body and the properties of the compacted material. The output parameters of the object model are intended for process dynamics analysis, continuous compaction monitoring, measurement, and control automation. The chapter presents a computer model of the object in the MATLAB/Simulink and the results of a computational experiment to model the workflow of the research object. The development of cyber-physical systems helps to increase the efficiency of managing sets of automated compacting machines at a construction site. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

Ссылки на полный текст


Журнал: Studies in Systems, Decision and Control

Выпуск журнала: Vol. 338

Номера страниц: 179-190

ISSN журнала: 21984182

Издатель: Springer Science and Business Media Deutschland GmbH


  • Prokopev A. (Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041, Russian Federation)
  • Nabizhanov Z. (Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041, Russian Federation)
  • Emelyanov R. (Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041, Russian Federation)
  • Ivanchura V. (Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041, Russian Federation)

Вхождение в базы данных