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The building basics of condition monitoring system for load-bearing structures of communication towers and other vertical assets.
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The building basics of condition monitoring system for load-bearing structures of communication towers The condition monitoring for load-bearing structures of communication towers and other vertical assets © 2024 DATELINE
The purpose of a system © 2024 DATELINE
External influences External influences on load-bearing structures of communication towers are determined by four factors or their combination: • sun • ground • atmosphere • human factor © 2024 DATELINE
Parameters of monitoring The choice of monitoring parameters and the main type of sensors for the system — precision tilt meters and accelerometers — is determined by regulatory documents and typical design requirements. Deformation sensors (strain gauges), wind sensors can also be used. © 2024 DATELINE
System capabilities The system, which monitors tilts and an acceleration of oscillations, allows for the detection of elastic and plastic deformations in structures, namely: • thermal deformations resulting from insolation • settlement deformations resulting from the interaction of the foundation of the structure with the ground • deformations resulting from atmospheric phenomena • deformations of a technological nature as well as their various combinations. © 2024 DATELINE
Continuous monitoring A system that provides continuous monitoring allows tracking both sporadic and permanent changes in the stress-strain state of structures, which, in turn, allows forecasting their technical condition, seeing into account trends and seasonality. © 2024 DATELINE
Special methods Special methods for assessment of technical condition © 2024 DATELINE
Analysis of the oscillation spectrum Due to the historical data saved in the form of time series reflecting the response of the structure to external influences, primarily wind affect, the system allows for the analysis of the spectrum of normal vibrations of load-bearing structures using the Fourier transform. A decrease in the frequency of normal mode during operation compared to the design value indicates material ageing, the probability of design and building errors, deficient or untimeliness of maintenance, and other causes leading to a decrease in operational efficiency and safety of the structures. © 2024 DATELINE
Analysis of the structural stability Big data collection allows for the analysis of historical data using machine learning methods, as well as neural networks — elements of AI. Machine learning methods are used for real-time analysis of aeroelasticity and the detection of aerodynamic instability in structures — accident condition caused by a decrease in the stiffness of load-bearing structure due to material ageing, errors in the design and building process, deficient or untimeliness of maintenance, as well as when it caused by exceeding limit of load-bearing capacity. © 2024 DATELINE
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