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Industrial Automatic Control Systems and Controllers

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Improving the Efficiency of BIM System Information Support Through Automation of Quality Control and Diagnostics of Reinforced Concrete Structures
Endutkin P.V., Kovalev I.V.

The article addresses the problem of improving the efficiency of information support for BIM systems in the quality
control and diagnostics of reinforced concrete structures. The relevance of the study is determined by the fact that design
information, data on concrete mix batches, laboratory test results, non-destructive testing data, and subsequent diagnostic
findings are often stored separately within practical information environments and lack a stable linkage to specific elements
of the digital information model. A method for forming a BIM-oriented quality control framework is proposed, in which a
structural element is linked to a concrete batch, a concreting event, a test report, diagnostic results, detected defects, and
adopted decisions through a unifi ed identifi cation system. To quantitatively assess the state of information support, a system of
partial indicators of data completeness, consistency, traceability, timeliness, and accessibility, as well as an integral effi ciency
indicator, is introduced. An algorithm for automated verifi cation of information links has been developed, taking into account
the BIM model version and the provenance of each record. The proposed approach advances multi-component information
support for BIM systems toward a formalized assessment of data quality and can be applied in the development of a digital
quality passport for reinforced concrete structures.
Keywords: BIM system, information support, reinforced concrete structures, concrete, quality control, diagnostics, data
traceability, digital quality passport, digital twin.


DOI: 10.25791/asu.10.2026.1688

Pp. 11-19.

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