Approaches to Parametric Configuration Modeling and End-to-End Digital Identifier Generation in Industrial Modular Housing Systems

Abstract

To meet the national target of commissioning 120 million square metres of housing annually, the Russian construction industry is transforming its technological approaches. Traditional construction methods, characterized by high labour intensity on-site and unpredictable processes, are giving way to industrial prefabrication. Large-scale modular housing construction represents one of the most promising technologies in construction, allowing up to 80 % of labour to be transferred to controlled factory conditions. However, the widespread adoption of this technology is hampered by issues associated with information gaps at different stages of the building lifecycle. This paper presents a scientific and methodological toolkit aimed at eliminating existing gaps through the use of parametric modelling of building configurations and an end-to-end digital object identification system. The study develops a mathematical model for generating architectural planning solutions based on constraint vectors that include geospatial, regulatory, production, and business requirements. The structure of a unique digital identifier designed for use as a key element of end-to-end management is presented. Research has shown that the transition to algorithmic design and digital certification of building system modules improves their organizational and technological reliability by reducing the risk of interface conflicts and optimizing production and logistics processes.