Introduction. Modern processes of metal production and building design require the introduction of precise automated solutions that meet international standards. The urgency of the work is due to the need to reduce time and energy costs, minimize defects and ensure compliance with regulatory requirements at all stages of production and construction. Aim. Development of a methodology for integrating mathematical modeling with machine-readable standards (XML, JSON, OWL) to optimize technological and design operations. Methods. Mathematical models based on the laws of thermodynamics, continuum mechanics, and optimization theory were used to formalize the processes; ISO/IEC standards and data structures in JSON, XML, and OWL formats to describe parameters (chemical composition of materials, melting modes, and structural geometry); automatic data verification algorithms, integration with BIM technologies (based on in the example of Revit) and the finite element method for calculations. Results. The developed methodology allowed: to reduce energy consumption by 15–20 % by optimizing melting and processing parameters; to reduce the proportion of product defects by 25 % through modeling the casting and heat treatment stages; to automate the verification of compliance with standards and the generation of project documentation in BIM environments; to implement structured data exchange between systems via JSON and integration with the IFC format. Discussion. The use of machine-readable standards and mathematical models has proven effective in reducing errors and resource costs. Automation of routine operations, such as standards checking and structural characteristics calculating, has become a key advantage. The prospects of the work are related to the expansion of the methodology to other industries and the development of OWL-based ontologies for complex production chains. Conclusions. The integration of mathematical models with XML/JSON standards improves the accuracy of quality control in metallurgy. Design automation through BIM and machine-readable formats reduces the time required to create documentation by 30–40 %. The methodology provides scalability for the tasks of digitalization of industry and construction.
Sergey V. Snimshchikov (Sat,) studied this question.