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Structural health monitoring using wireless smart sensor network - An overview

机译:使用无线智能传感器网络进行结构健康监控 - 概述

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摘要

Structural Health Monitoring is gaining popularity in recent times because of advancements in technology and the increasing need for repair and rehabilitation. The shift from conventional wired technologies to advanced wireless technologies is also gradually increasing in the past decade. These sensor networks are economical when used for monitoring huge structures with high design life and safety requirements like highway and roadway bridges, multi-story buildings, chimneys, offshore platforms, and nuclear reactors. Smart sensors when paired along with Artificial Intelligence tools like Artificial Neural Networks, Machine Learning, Deep Learning, and its derivatives Convolutional Neural Networks, Hybrid Intelligence, Cloud Computing make the monitoring system completely automated. This paper is a comprehensive review of advances in data acquisition, processing, diagnosis, and retrieval stages of Structural Health Monitoring both academically and commercially. The review primarily focuses on the recently used wireless data acquisition system and execution of AI resources for data prediction and data diagnosis in RCC buildings and bridges. The review also indicates the lag in real-world execution of structural health monitoring technologies despite advances in academia and insists on the development of standards to gel the gap.
机译:由于技术的进步和维修和康复需求的增加,结构健康监测是近期受欢迎程度。在过去十年中,传统有线技术转向高级无线技术也逐渐增加。这些传感器网络用于监测具有高速公路和道路桥梁,多层建筑,烟囱,海上平台和核反应堆等高设计寿命和安全要求的巨大结构。智能传感器与人工智能工具相配对,如人工神经网络,机器学习,深度学习和衍生品卷积性神经网络,混合智能,云计算使监控系统完全自动化。本文全面审查了学业和商业上结构健康监测的数据采集,加工,诊断和检索阶段的进步。审查主要侧重于最近使用的无线数据采集系统和AI资源的执行,以便RCC建筑物和桥梁中的数据预测和数据诊断。审查还表明,尽管学术界进展,但坚持在制定标准以凝视差距的发展,但审查也表明了结构健康监测技术的滞后。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2022年第1期|108113.1-108113.14|共14页
  • 作者单位

    School of Civil Engineering Vellore Institute of Technology (VIT) Vellore India;

    M Tech Structural Engineering School of Civil Engineering Vellore Institute of Technology (VIT) Vellore India;

    M Tech Structural Engineering School of Civil Engineering Vellore Institute of Technology (VIT) Vellore India;

    Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Kuching Sarawak Malaysia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Structural health monitoring; SHM; Bridges; Wireless networks; Sensors; AI;

    机译:结构健康监测;SHM;桥梁;无线网络;传感器;AI.;

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