Regulation of work execution processes in railway construction using neural network technologies

Abstract

The article presents the theoretical provisions and practical possibilities of regulating the technological process implementation of construction railway track entity using an artificial neural network. Railway construction as a complex dynamic system requires certain resources for its maintenance. Under these conditions, effective control over the technology of work execution performed during the railway track entity construction is of decisive importance. This can be achieved by improving the existing system of engineering and technical support for railway construction through the introduction of a subsystem for engineering and intellectual support of technological processes for the railway entities construction. One of the subsystem’s tasks is the effective use of automation tools with artificial intelligence elements. The appearance of deviations from planned requirements during construction work, due to the stochastic nature of railway construction, leads to technology violations, an increase in labor costs, prime cost, an increase in duration and, as a result, a deterioration in the railway entity operational characteristics. To avoid such a development of events, a prompt review of the adopted technological solutions is necessary. To this end, as part of the methodology formation for technological processes engineering and intellectual support of railway construction, a system has been developed for regulating the technological processes implementation for the railway entity construction. The process regulation is based on the work execution monitoring results. Adjusting the technological process to changing work execution conditions flexibility in the railway track entity construction. This is achieved by choosing regulatory solutions using the artificial neural network capabilities and then adjusting the work progress. Based on the theoretical study results, the article presents the practical aspects of the work execution processes regulation implementation in railway construction using neural network technologies on the example of a flooded railway roadbed subgrade construction. The results presented in the article were obtained in the course of a dissertation research carried out by the author.