A comprehensive system for assessing the completeness and reliability of acceptance documentation at capital construction sites, taking into account multi-level regulation and practices of regional Gosstroynadzor inspections

Abstract

The article is devoted to the development of a comprehensive system for assessing the completeness and reliability of acceptance documentation at capital construction sites under conditions of multilevel regulatory control and high regional variability of state construction supervision practices. The purpose of the study is to form the methodological and instrumental framework of quality measurement for as-built documentation, enabling a transition from formal selective control to a risk-oriented model of managing documentary reliability. The empirical basis consisted of acceptance processes for 284 facilities of various functional purposes in 18 regions of the Russian Federation, for which more than 145,000 documentation units, as well as the array of orders and comments from regional SCS inspections, were analyzed. The methods used included systemic analysis of the regulatory and legal framework, mathematical statistics for processing large heterogeneous samples, cross-verification of data from three independent sources (contractor, customer construction supervision, laboratory testing), and semantic text analysis using natural language processing algorithms. An algorithm for multicriteria assessment of documentation set completeness was developed, taking into account weighted coefficients of section importance and introducing indices of documentary reliability and supervisory control rigidity. Quantitative assessments of the defect structure of as-built documentation by types of work and regions were obtained; typical patterns of violations were identified (volume inconsistencies, absence of laboratory reports, chronology and reference errors); and the influence of the digitalization level (from paper workflow to common data environment and BIM) on verification labor intensity, risk of critical error omission, and document life cycle cost was demonstrated. It was established that the combined effect of regional specificity and technological paradigm factors explains up to 82% of documentation quality variation, while the optimal interval for control inspections corresponds to 4-5% of the physical work volume. Directions for the practical application of results were formulated in the form of a concept for automated risk-oriented verification of as-built documentation integrated into state information systems and supported by a unified ontological standard of construction data, which reduces administrative burden, increases legal and technological safety of facility operation, and creates a foundation for end-to-end digitalization of construction supervision.