Bridge Health Monitoring System

Bridge infrastructure is vital for transportation networks, ensuring the smooth flow of goods and people. However, aging infrastructure and environmental factors pose significant challenges to bridge safety and maintenance. To address these challenges, an advanced Bridge Health Monitoring System (BHMS) is proposed. This system integrates various sensing technologies, data analytics, and communication protocols to continuously assess the structural health of bridges in real-time. It employs a multi-tiered approach, incorporating both physical and digital monitoring techniques to capture a comprehensive understanding of bridge behavior. The Bridge Health Monitoring System (BHMS) is an innovative solution designed to enhance the safety and longevity of bridge infrastructure. By integrating advanced sensor networks, real-time data processing, and predictive modeling, the system continuously assesses structural integrity and detects anomalies. Key features include remote monitoring capabilities, compatibility with existing bridge management systems, and robust cybersecurity measures to protect sensitive data. The BHMS provides actionable insights that enable proactive maintenance, optimize schedules, and improve decision-making for bridge operators. Ultimately, it offers a cost-effective and scalable approach to address the challenges of aging infrastructure, ensuring safer transportation networks and extending the lifespan of vital bridges.

Authors

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.38124/ijisrt/25feb654
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridge Health Monitoring System

Almas Shaikh, Mehran Shaikh, Sohail Ahmed Khan, Uma Bhawsar et al.
Structural Health Monitoring Techniques
article

Bridge Health Monitoring System

Almas Shaikh, Mehran Shaikh, Sohail Ahmed Khan, Uma Bhawsar, Amey Chapde
article en

Abstract

Bridge infrastructure is vital for transportation networks, ensuring the smooth flow of goods and people. However, aging infrastructure and environmental factors pose significant challenges to bridge safety and maintenance. To address these challenges, an advanced Bridge Health Monitoring System (BHMS) is proposed. This system integrates various sensing technologies, data analytics, and communication protocols to continuously assess the structural health of bridges in real-time. It employs a multi-tiered approach, incorporating both physical and digital monitoring techniques to capture a comprehensive understanding of bridge behavior. The Bridge Health Monitoring System (BHMS) is an innovative solution designed to enhance the safety and longevity of bridge infrastructure. By integrating advanced sensor networks, real-time data processing, and predictive modeling, the system continuously assesses structural integrity and detects anomalies. Key features include remote monitoring capabilities, compatibility with existing bridge management systems, and robust cybersecurity measures to protect sensitive data. The BHMS provides actionable insights that enable proactive maintenance, optimize schedules, and improve decision-making for bridge operators. Ultimately, it offers a cost-effective and scalable approach to address the challenges of aging infrastructure, ensuring safer transportation networks and extending the lifespan of vital bridges.

Openalex Percentile: Top 85%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bridge Health Monitoring System — Almas Shaikh, Mehran Shaikh, et al. · (2025) | TGRS Research Map | TGRS