The possibilities of using robotic complexes and digital engineering models in the construction of NPP units

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Authors: A. Y. Lyubimov, V. L. Tikhonovsky, M. S. Khvostova
Cited by: 0

Abstract

In Russia, the need for comprehensive development of information modeling technologies and automation of industrial processes is recognized at the federal level. This is especially relevant for large and high-tech industries in development, such as nuclear energy. Rosenergoatom JSC has approved plans to increase electric capacity through the construction of new NPP units. The implementation of large-scale infrastructure and energy projects requires fundamentally new approaches to the organizing construction and installation works (CIW). As a solution, integrated automation based on robotic complexes and information modeling technologies (IMT) is proposed. The proposed technological solution is based on several interrelated elements: digital design and as-built engineering models of the facility (DDIM and DEIM), as well as software and hardware complexes (SHC), including ground-based (walking robots) and aerial (drones) robotic platforms. These systems are integrated into a single loop that provides autonomous highresolution data collection (laser scanning, photographic documentation), integration of data into digital models and automatic fact-versus-actual analysis to identify deviations from the project. The successful application of this system has been demonstrated in the construction of the Baltic Chemical Complex. Robotic complexes have proven their effectiveness by identifying critical nonconformances at an early stage. It is proposed to extend the experience gained to the construction of NPP units, yielding a range of economic, technical, organizational and other benefits.

Fields of Study & Subjects

BIM and Construction Integration Geodetic Measurements and Engineering Structures 3D Surveying and Cultural Heritage

Publication details

Journal / source
Safety and Reliability of Power Industry
Volume
18
Issue
4
Pages
274–283
Publication date
27 January 2026