Resource planning of the railway facilities construction technological process with the use of an artificial neural network

Author:

Polyanskiy Aleksey1ORCID

Affiliation:

1. Russian University of Transport

Abstract

The article is dedicated to theoretical and practical research in the resource planning field for the railway facilities’ construction technological process using artificial neural networks. The study is a part of the subsystem in the development of railway construction engineering and technical maintenance — engineering and technical maintenance of railway facilities construction technological process. The subsystem is based on the effective automated systems use with elements of artificial intelligence. This is caused by deviations occurrence from the target requirements during the technological process implementation, due to the railway construction stochasticity, and the need for a prompt revision of the already made decisions. The existing methods allow us to correct the construction work organization, however, the technology remains unchanged, which is dictated by the design documentation and the work safety requirements. To give technological process flexibility in order to adapt to work changing conditions, it is necessary to provide an operational solution to the resource planning problem. The existing resource planning methods peculiarities, the current problem dimension, and the need to take into account a number of restrictions allow us to use artificial intelligence tools. In this regard, a methodology and a railway facilities construction technological process resource planning (labor, technical) computational-logical model with the artificial neural network use were developed. This approach is based on the lack of precise algorithmic actions or rules that can provide the desired result without formal complications. Also, the author has developed a special software module, prepared a data sample, an artificial neural network topological structure, and implemented an algorithm for its training, configuration, and testing. Based on the theoretical research and software module application results, the article presents the practical aspects of resource planning for the railway roadbed flooded embankment erection technological process.

Publisher

Publishing Company World of Science LLC

Reference26 articles.

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2. Polyanskiy A.V. [Artificial intelligence as the basis for the development and implementation of organizational and technological solutions in the construction of high-speed railways]. Mechanization of construction. 2014;(1): 15-18. Available at: https://elibrary.ru/item.asp?id=21166002 (accessed 18th April 2021). (In Russ.).

3. Polyanskiy A.V. Theory and practice of constructive solutions technological justification for railway objects via the use of an expert system. Russian Journal of Transport Engineering. 2020;7(3): 01SATS320. (In Russ., abstract in Eng.) DOI: https://doi.org/10.15862/01SATS320.

4. Polyanskiy A.V. Railroad track technological construction process modeling and optimization using a genetic algorithm. Russian Journal of Transport Engineering. 2021;8(1): 05SATS121. (In Russ., abstract in Eng.) DOI: https://doi.org/10.15862/05SATS121.

5. Polyanskiy A.V. Scheduling of construction works in the formation of technological processes of railway construction using a genetic algorithm. In: IOP Conference Series: Materials Science and Engineering, Volume 1151, The 2020 International Conference on Transport and Infrastructure of the Siberian Region (SibTrans 2020) 11th-13th November 2020, Irkutsk, Russia. Irkutsk: IOP Publishing Ltd; 2020. p.12018. Available at: https://iopscience.iop.org/article/10.1088/1757-899X/1151/1/012018 (accessed14th June 2021). (In Eng.) DOI: https://doi.org/10.1088/1757-899X/1151/1/012018.

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