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Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

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Risks Related to Advanced Bridge Monitoring Technologies.

Michal Miške1, Pasquale Daponte2, Luca De Vito2

  • 1Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia.

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Summary
This summary is machine-generated.

Advanced bridge monitoring uses new tech like AI and IoT sensors for real-time data. A new framework manages risks, enhancing bridge safety and lifecycle management.

Keywords:
Digital Twinbridge infrastructurecybersecurityinfrastructure resiliencerisks assessmentstructural health monitoring

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Area of Science:

  • Civil Engineering
  • Computer Science
  • Risk Management

Background:

  • Bridge monitoring is evolving with advanced technologies like structural health monitoring (SHM), Internet of Things (IoT) sensors, unmanned aerial vehicles (UAVs), artificial intelligence (AI), and cloud computing.
  • These technologies enable continuous real-time data acquisition, processing, and early detection of structural degradation, but also introduce emerging risks.

Purpose of the Study:

  • To present descriptive risk listings for advanced bridge monitoring.
  • To propose a comprehensive risk-governance framework for advanced bridge monitoring using SWOT analysis.
  • To couple reliability, security, and governance into a single operationalizable process.

Main Methods:

  • SWOT analysis to develop a risk-governance framework.
  • Integration of a unified risk taxonomy and assessment.
  • Linking sensor and AI performance with cyber threat modeling and data governance requirements.
  • Application to real-world deployments: Jindo Bridge SHM program and Stava Bridge digital-twin.

Main Results:

  • The proposed framework effectively integrates heterogeneous measurements for improved bridge lifecycle management.
  • Demonstrated conversion of diverse data for enhanced monitoring.
  • The framework addresses risks associated with advanced monitoring technologies.

Conclusions:

  • The interdisciplinary method ensures advanced technologies enhance, rather than erode, bridge infrastructure safety and resilience.
  • The framework provides an operationalizable approach to managing risks in advanced bridge monitoring.
  • This study contributes a novel method for coupling reliability, security, and governance in infrastructure management.