Quantitative assessment of the quality of construction products using software packages and machine-readable standards

Introduction. Modern construction processes are characterized by high complexity of facilities, strict requirements for safety and reliability, as well as dynamic changes in the construction technology market. In these circumstances, ensuring of the product quality control becomes a key success factor. Traditional control methods often require significant labor and financial investments, which stimulates the transition to automated digital technologies. Software packages such as BIM systems and specialized solutions for statistical data processing, combined with machine-readable standards (for example, Industry Foundation Classes – IFC), can significantly improve the objectivity and efficiency of quality control. One of the promising tools is the StatBIM software package, which allows for long-term quantitative assessment of product quality, optimizing the use of human and technical resources. Methods. The research includes: the implementation of StatBIM to automate data collection and analysis (strength, elongation of reinforcement according to State Standard 34028-2016); the use of machine-readable standards for integration with BIM systems and regulatory frameworks (State Standard R 57309-2016, ISO 16739-1); statistical methods – Shapiro – Wilk, Anderson – Darling tests to verify the normality of distribution, impact analysis rounding (up to 0.5 % according to State Standard 12004-81) for variance, average value and availability of characteristics; development of XML templates to formalize the requirements of regulatory documents. Results. The implementation of the StatBIM software package allows: to reduce the time for compliance with standards checking by 40 % due to automatic data reconciliation; to identify distortions in statistical parameters due to rounding (reducing the accuracy of the average by 7 %, underestimating the variance by 12 % in small samples); to establish that rounding data violates the normality of the distribution (p-value < 0.05 in 30 % of cases), which is critical for structural reliability calculation; to implement digital certification with long-term monitoring of reinforcement quality. Discussion. StatBIM's integration with machine-readable standards has proven effective in increasing transparency of quality control. However, the revealed distortions due to rounding require algorithm adjustments (for example, the use of nonparametric methods for small samples). Prospects include the expansion of StatBIM functionality for analyzing of the other materials and integration with blockchain platforms for certification. Conclusions. StatBIM improves the accuracy of quality control through automation and reduces the impact of the human factor. Data rounding according to State Standard 12004-81 distorts statistical indicators, what needs to be considered when algorithms designing. StatBIM-based digital certification creates the basis for technological competition in the construction industry.