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Analysis and Modeling of Coating Plant Topology and Automatic Control System

Airat R. Khafizov(1*), Bulat G. Bulatov(2), Aleksandr N. Pudovkin(3), Igor V. Nedoseko(4), Valeri M. Galimov(5), Murat T. Sultanov(6)

(1) Federal State Budgetary Educational Establishment of Higher Education "Bashkir State Agrarian University", Russian Federation
(2) Federal State Budgetary Educational Establishment of Higher Education "Bashkir State Agrarian University", Russian Federation
(3) Kumertau Branch of the Federal State Budgetary Educational Institution of Higher Education "Orenburg State University", Russian Federation
(4) Federal State Budgetary Educational Establishment of Higher Education "Ufa state petroleum technical university", Russian Federation
(5) Federal State Budgetary Educational Establishment of Higher Education "Bashkir State Agrarian University", Russian Federation
(6) Ufa State Petroleum Technical University, Russian Federation
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v13i2.18256

Abstract


At present, road conditions in Russia hinder national economic development. The number of roads at present is insufficient, their quality being unsatisfactory. The creation of a methodological basis for the development of modern hierarchical systems to manage road concrete mix production will contribute to solving not only the tasks of the direct technological process control. It will also help to resolve more complex tasks such as operational management of product quality. The work is based on complex use of methods of automatic control theory, Theory of Probability and Mathematical Statistics, methods of optimal systems, and mathematical modeling. MatLab mathematical package should be used as a more efficient way to make a system analysis and to model production processes. The expected results are modeling the interaction of subsystems of the Automatic Control System (ACS). ACS of cementing materials, as well as ACS of sand and gravel hoppers, will allow estimating the complexity of the interaction of the ACS subsystems.  The result of the research is the possible use of the proposed concept and methodological approach to the research and development of optimal ACS structures for the construction industry. The implementation of the research results will allow to make an appropriate assessment of the effectiveness of the solutions proposed for the modernization of ACS coating plants, as well as to assess the range of the tasks they have to solve, and the structure of the proposed ACS of coating plants.
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Keywords


Industrial Process Automation; Hierarchical Structure; Communication Lines; Modeling; Process Equipment; Hierarchy Level

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References


H. Ming, Investigation on the production process of epoxy emulsified asphalt, Procedia Manufacturing, Vol. 30: 380-387, 2019.
https://doi.org/10.1016/j.promfg.2019.02.053

H. Yu, Z. Leng, Z. Dong, Z. Tan, F. Guo, and J. Yan, Workability and mechanical property characterization of asphalt rubber mixtures modified with various warm mix asphalt additives, Construction and Building Materials, Vol. 175: 392-401, 2018.
https://doi.org/10.1016/j.conbuildmat.2018.04.218

P. Pereira, J. Pais, Main flexible pavement and mix design methods in Europe and challenges for the development of a European method, Journal of Traffic and Transportation Engineering (English Edition), Vol. 4: 316-346, 2017.
https://doi.org/10.1016/j.jtte.2017.06.001

J. Santos, S. Bressi, V. Cerezo, D. Lo Presti, M. Dauvergne, Life cycle assessment of low-temperature asphalt mixtures for road pavement surfaces A comparative analysis, Resources, Conservation and Recycling, Vol. 138: 283-297, 2018.
https://doi.org/10.1016/j.resconrec.2018.07.012

S. Anastasio, J. De Visscher, M. Wayman, N. Bueche, I. Hoff, J. Maeck, ... and B. Schobinger, Standardization of the environmental information for asphalt technologies, Transportation Research Procedia, Vol. 14: 3542-355, 2016.
https://doi.org/10.1016/j.trpro.2016.05.326

D. Movilla-Quesada, A.C. Raposeiras, L.T. Silva-Klein, P. Lastra-González, and D. Castro-Fresno, Use of plastic scrap in asphalt mixtures added by dry method as a partial substitute for bitumen, Waste Management, Vol. 87: 751-760, 2019.
https://doi.org/10.1016/j.wasman.2019.03.018

S.-H. Lee, D.-W. Park, H. V. Vo, Mingjing Fang Analysis of asphalt concrete track based on service line test results, Construction and Building Materials, Vol. 203: 558-566, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.01.131

S. Liu, A. Shukla, T. Nandra, Technological, environmental and economic aspects of Asphalt recycling for road construction, Renewable and Sustainable Energy Reviews, Vol. 75: 879-893, 2017.
https://doi.org/10.1016/j.rser.2016.10.080

P.V. Bulat, About the detonation engine, American Journal of Applied Sciences, Vol. 11 (Issue 8): 1357, 2014.

Y. Wang, D. Chong, and Y. Wen, Quality verification of polymer-modified asphalt binder used in hot-mix asphalt pavement construction, Construction and Building Materials, Vol. 150: 157-166, 2017.
https://doi.org/10.1016/j.conbuildmat.2017.05.196

Z.B. Yıldırım, and M. Karacasu, Modelling of waste rubber and glass fibber with response surface method in hot mix asphalt, Construction and Building Materials, Vol. 227: 117070, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.117070

G. White, State of the art: Asphalt for airport pavement surfacing, International Journal of Pavement Research and Technology, Vol. 11: 77-98, 2018.
https://doi.org/10.1016/j.ijprt.2017.07.008

Z. Liu, X. Wang, S. Luo, X. Yang, and Q. Li, Asphalt mixture design for porous ultra-thin overlay, Construction and Building Materials, Vol. 217: 251-264, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.05.049

C. López, A. González, G. Thenoux, G. Sandoval, and J. Marcobal, Stabilized emulsions to produce warm asphalt mixtures with reclaimed asphalt pavements, Journal of cleaner production, Vol. 209: 1461-1472, 2019.
https://doi.org/10.1016/j.jclepro.2018.11.138

L.G. Picado-Santos, S.D. Capitão, and J.F. Dias, Crumb rubber asphalt mixtures by dry process: Assessment after eight years of use on a low/medium trafficked pavement, Construction and Building Materials, Vol. 215: 9-21, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.04.129

S. Çetin, Evaluation on the usability of structure steel fiber-reinforced bituminous hot mixtures, Construction and Building Materials, Vol. 64: 414-420, 2014.
https://doi.org/10.1016/j.conbuildmat.2014.04.093

C. Celauro, F. G. Praticò, Asphalt mixtures modified with basalt fibres for surface courses, Construction and Building Materials, Vol. 170: 245-253, 2018.
https://doi.org/10.1016/j.conbuildmat.2018.03.058

J.T. Sloop, H.J.B. Bonilla, T. Harville, B.T. Jones, and G.L. Donati, Automated matrix-matching calibration using standard dilution analysis with two internal standards and a simple three-port mixing chamber, Talanta, Vol. 205: 120160, 2019.
https://doi.org/10.1016/j.talanta.2019.120160

A.K. Nikolaev, A.V. Romanov, N.A. Zaripova, and V.G. Fetisov, Modeling of flow in field pipeline to confirm effectiveness of insertion of splitting couplings in control of rill-washing corrosion. In IOP Conference Series: Earth and Environmental Science, Vol. 194(Issue 8): 082030, 2018, November.
https://doi.org/10.1088/1755-1315/194/8/082030

S. Prat, J. Cavron, D. Kesraoui, P. Rauffet, P. Berruet, and A. Bignon, An Automated Generation Approach of Simulation Models for Checking Control/Monitoring System, IFAC-PapersOnLine, Vol. 50(Issue 1): 6202-6207, 2017.
https://doi.org/10.1016/j.ifacol.2017.08.1014

C. Martina, P. Alessandro, and S. Fabio, Modelling of Rail Guided Vehicles serving an automated parts-to-picker system, IFAC-PapersOnLine, Vol. 51(Issue 11): 1476-1481, 2018.
https://doi.org/10.1016/j.ifacol.2018.08.295

J. Adams, C. Castorena, Y. R. Kim, Construction quality acceptance performance-related specifications for chip seals, Journal of Traffic and Transportation Engineering (English Edition), Vol. 6: 337-348, 2019.
https://doi.org/10.1016/j.jtte.2019.05.003

B. Vogel-Heuser, J. Fischer, S. Feldmann, S. Ulewicz, and S. Rösch, Modularity and Architecture of PLC-based Software for Automated Production Systems: An analysis in industrial companies, Journal of Systems and Software, Vol. 131: 35-62, 2017.
https://doi.org/10.1016/j.jss.2017.05.051

W. Zhang, F. Liu, Y. Lv, and X. Ding, Design and analysis of a metamorphic mechanism for automated fibre placement, Mechanism and Machine Theory, Vol. 130: 463-476, 2018.
https://doi.org/10.1016/j.mechmachtheory.2018.09.004

J. Schiefelbein, J. Rudnick, A. Scholl, P. Remmen, M. Fuchs, and D. Müller, Automated urban energy system modeling and thermal building simulation based on OpenStreetMap data sets, Building and Environment, Vol. 149: 630-639, 2019.
https://doi.org/10.1016/j.buildenv.2018.12.025

F.M. Favarò, P. Seewald, M. Scholtes, and S. Eurich, Quality of control takeover following disengagements in semi-automated vehicles, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 64: 196-212, 2019.
https://doi.org/10.1016/j.trf.2019.05.004

P.S. Kandhal, J.B. Motter, and M.A. Khatri, Evaluation of particle shape and texture: manufactured versus natural sands (No. NCAT Report No. 91-3) (National Center for Asphalt Technology, 1991).

A.N. Pudovkin, Hierarchical control system of asphalt concrete mix production. Author’s abstract of a Doctor of Technical dissertation (Moscow. Moscow State Automobile and Road Technical University (MSARTU), 2011, pp. 21).

A.N. Pudovkin, The structure of tasks of the hierarchical control system of asphalt concrete mix production, Bulletin of Orenburg State University, Vol. 10 (Issue 129): 270-271, 2011.

A.V. Ostroukh, Y.E. Nuruev, I.V. Nedoseko, and A.N. Pudovkin, Development of the automated control system for concrete plant with two units concrete mixing, International Journal of Applied Engineering Research, Vol. 10 (Issue 17): 37792-37798, 2015.

V.A. Vorobev, D.N. Suvorov, and V.A. Popov, Computer modeling as the way of asphalt concrete production automation. Book 1. Theoretical framework (Moscow. Published by the Russian Academy of Engineering, 2009, pp. 297).

V.A. Vorobev, D.N. Suvorov, E.V. Kotliarskii, A.I. Dotsenko, and V.A. Popov, Computer modeling as the way of asphalt concrete production automation. Book 2. Practical studies (Moscow. Published by the Russian Academy of Engineering, 2009, pp. 608).

D.N. Suvorov, and S.V. Rimkevich, Distributed control systems in asphalt concrete production. «Progressive technological processes in construction» (Works of the “Construction” Department of the Russian Academy of Engineering, Moscow, 2003, Issue 4).

A.V. Ostroukh, I.V. Nedoseko, N.E. Surkova, and B.G. Bulatov, Automated control system for the milling unit of mineral powders plant, International Journal of Applied Engineering Research, Vol. 11: 2625-2628, 2016.

I.I. Gabitov, I.D. Badretdinov, S.G. Mudarisov, E.R. Khasanov, R.L. Lukmanov, R.R. Nasyrov, M.F. Tuktarov, D.T. Atnagulov, I.A. Timeriashev, and V.A. Pavlenko, Modeling the Process of Heap Separation in the Grain Harvester Cleaning System, Journal of Engineering and Applied Sciences, Vol. 13: 6517-6526, 2018.

I.I. Gabitov, G.P. Juxin, V.M. Martynov, R.R. Galiullin, K.V. Kostarev, A.V. Negovora, S.G. Mudarisov, N.M. Yunusbaev, A.A. Kozeev, and D.F. Baltikov. Modeling the Power Plant Operation to Optimize the Technological and Design Parameters of the Gas Generator Unit, Journal of Engineering and Applied Sciences, Vol. 13: 8857-8864, 2018.

I. Badretdinov, S. Mudarisov, R. Lukmanov, V. Permyakov, R. Ibragimov, and R. Nasyrov, Mathematical modeling and research of the work of the grain combine harvester cleaning system, Computers and Electronics in Agriculture, Vol. 165: 104966, 2019.
https://doi.org/10.1016/j.compag.2019.104966

A. Vasenev, T. Hartmann, and A.G. Dorée, A distributed data collection and management framework for tracking construction operations, Advanced Engineering Informatics, Vol. 28 (Issue 2): 127-137, 2014.
https://doi.org/10.1016/j.aei.2014.01.003

M.A. Montoya, and J. E. Haddock, Estimating asphalt mixture volumetric properties using seemingly unrelated regression equations approaches, Construction and Building Materials, Vol. 225: 829-837, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.07.266

H. Sivilevičius, and K. Vislavičius, Simulation of composition of recycled hot-mix asphalt mixture produced in asphalt mixing plant, Construction and Building Materials, Vol. 214: 17-27, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.03.330

L. E. Chávez-Valencia, A. Manzano-Ramírez, G. Luna-Barcenas, E. Alonso-Guzmán, Modelling of the performance of asphalt pavement using response surface methodology, Building and Environment, Vol. 40: 1140-1149, 2005.
https://doi.org/10.1016/j.buildenv.2004.09.002

F. Chen, K. Wang, T. V. de Voorde, T. F. Tang, Mapping urban land cover from high spatial resolution hyperspectral data: An approach based on simultaneously unmixing similar pixels with jointly sparse spectral mixture analysis, Remote Sensing of Environment, Vol. 196: 324-342, 2017.
https://doi.org/10.1016/j.rse.2017.05.014

Z. Fu, Y. Dang, B. Guo, and Y. Huang, Laboratory investigation on the properties of asphalt mixtures modified with double-adding admixtures and sensitivity analysis, Journal of Traffic and Transportation Engineering (English Edition), Vol. 3 (Issue 5): 412-426, 2016.
https://doi.org/10.1016/j.jtte.2016.09.002

A.E. Alvarez, L.V. Espinosa, S. Caro, E.J. Rueda, and L.G. Loria, Differences in asphalt binder variability quantified through traditional and advanced laboratory testing, Construction and Building Materials, Vol.176: 500-508, 2018.
https://doi.org/10.1016/j.conbuildmat.2018.05.046

J. Yuan, L. Zhong, M. Vakili, G. A. Segun, New modeling method to simulate asphaltenes at oil sands process in water management, Journal of Molecular Graphics and Modelling, Vol. 91: 1-9, 2019.
https://doi.org/10.1016/j.jmgm.2019.05.013

H. K. Shanbara, F. Ruddock, W. A. Rutting, Prediction of a Reinforced Cold Bituminous Emulsion Mixture Using Finite Element Modelling, Procedia Engineering, Vol. 164: 222-229, 2016.
https://doi.org/10.1016/j.proeng.2016.11.613

R. Yang, S. Kang, H. Ozer, and I.L. Al-Qadi, Environmental and economic analyses of recycled asphalt concrete mixtures based on material production and potential performance Resources, Conservation and Recycling, Vol. 104 (Part A): 141-151, 2015.
https://doi.org/10.1016/j.resconrec.2015.08.014

S.H. Lee, D.W. Park, H.V. Vo, and M. Fang, Analysis of asphalt concrete track based on service line test results, Construction and Building Materials, Vol. 203: 558-566, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.01.131

Y. Zhao, X. Wang, J. Jiang, and L. Zhou, Characterization of interconnectivity, size distribution and uniformity of air voids in porous asphalt concrete using X-ray CT scanning images, Construction and Building Materials, Vol. 213: 182-193, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.04.056

M. Zaumanis, R.B. Mallick, and R. Frank, 100% hot mix asphalt recycling: challenges and benefits, Transportation research procedia, Vol. 14: 3493-3502, 2016.
https://doi.org/10.1016/j.trpro.2016.05.315

H.K.A. Al-Bayati, S.L. Tighe, and J. Achebe, Influence of recycled concrete aggregate on volumetric properties of hot mix asphalt, Resources, Conservation and Recycling, Vol. 130: 200-214, 2018.
https://doi.org/10.1016/j.resconrec.2017.11.027

F. Gu, W. Ma, R.C. West, A.J. Taylor, and Y. Zhang, Structural performance and sustainability assessment of cold central-plant and in-place recycled asphalt pavements: A case study, Journal of Cleaner Production, Vol. 208: 1513-1523, 2019.
https://doi.org/10.1016/j.jclepro.2018.10.222

S. Caro, A. Diaz, D. Rojas, and H. Nuñez, A micromechanical model to evaluate the impact of air void content and connectivity in the oxidation of asphalt mixtures, Construction and Building Materials, Vol. 61: 181-190, 2014.
https://doi.org/10.1016/j.conbuildmat.2014.03.013

P. Buddhavarapu, J. G. Scott, J. A. Prozzi, Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data, Transportation Research Part B: Methodological, Vol. 91, 492-510, 2016.
https://doi.org/10.1016/j.trb.2016.06.005

Z. B. Yildirim, M. Karacasu, Modelling of waste rubber and glass fibber with response surface method in hot mix asphalt, Construction and Building Materials,Vol. 227: Article 117070, 2019.
https://doi.org/10.1016/j.conbuildmat.2019.117070


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