Digital Twins of the Stress-Strain State for Automated Monitoring of Hydraulic Structures

The main direction in the development of monitoring (field observations) of hydraulic structures (HSs) is automation with transition to continuous monitoring of stress-strain state (SSS) by means of automated telemetry control and measuring equipment. In this regard, it becomes possible to automate...

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Bibliographic Details
Published in:Power technology and engineering 2023-05, Vol.57 (1), p.57-66
Main Authors: Simutin, A. N., Arsen’ev, I. D., Khoteev, E. A., Deineko, A. V.
Format: Article
Language:English
Subjects:
Automatic control
Cloud computing
Control equipment
Digital twins
Electrical Machines and Networks
Energy
Energy Systems
Finite element method
Foundations
Geoengineering
Hydraulic structures
Hydraulics
Machine learning
Monitoring
Power Electronics
Renewable and Green Energy
Strain
Stress-strain relationships
Telemetry
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Summary:The main direction in the development of monitoring (field observations) of hydraulic structures (HSs) is automation with transition to continuous monitoring of stress-strain state (SSS) by means of automated telemetry control and measuring equipment. In this regard, it becomes possible to automate the assessment of the technical conditions of an HS, considering changes in loads and impacts using a digital twin (DT) of the HS SSS, which is developed via machine learning based on automated monitoring data. The DT represents a finite element model of an HS that is consistent with monitoring data. The development of DTs requires automated monitoring of vertical displacement. This study discusses a technique of developing DTs using the Russian-made digital sensors of the hydrostatic leveling device “Monitron” and a Russian-made cloud-based information and diagnostic monitoring system.
ISSN:1570-145X
1570-1468
DOI:10.1007/s10749-023-01623-8