PARALLEL DATA PROCESSING IN AUTOMATED RAILWAY TRANSPORT DISPATCHING SYSTEM

Abstract

In modern railway transport, ensuring the quality, reliability, and durability of rolling stock (RS) and track machines (TM) is a key factor for operational efficiency. The research topic is justified by the challenge of integrating traditional, additive, and nanotechnologies into manufacturing processes aimed at improving the performance of railway components. Research aim: to analyze and optimize engineering processes in railway transport using traditional, additive, and nanotechnologies to enhance the quality and reliability of parts. Research objectives: to investigate the potential of additive technologies (3D printing) for producing complex components; to evaluate the effectiveness of nanotechnologies in improving strength, wear resistance, and corrosion resistance of parts and assemblies; to develop and optimize quality control methods using modern sensors and devices, including industrial computed tomography; to assess the economic impact of implementing nanostructured coatings and advanced production processes. Results: additive technologies allow the production of complex parts, reduce component weight, and eliminate material waste. Nanotechnologies enable the creation of defect-free materials and nanoscale structures, increasing durability and service life by 2–5 times. Quality control is performed through surface diagnostics, incoming material inspection, and monitoring of technological parameters. Nanostructured coatings on cutting tools, springs, and RS/TM components improve wear resistance, strength, and reliability. The integration of traditional, additive, and nanotechnologies with flexible manufacturing systems and advanced control tools significantly improves the quality, reliability, and economic efficiency of railway component production. The results provide opportunities for broader applications in other engineering sectors and lay the foundation for further scientific research.