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Solution
Bridge Structural Health and Safety Monitoring and Early Warning Solution
Background Introduction
Bridges are critical nodes in transportation infrastructure, and their safe operation is directly linked to the safety of lives and property as well as to socio-economic development. As service life increases, traffic loads grow heavier, and natural environmental factors continue to take their toll, bridge structures inevitably suffer damage and deformation. Piers, as primary load-bearing components, exhibit inclination and displacement—key indicators for assessing a bridge’s structural health. Severe inclination or displacement can lead to eccentric loading on the piers, significantly increasing structural stresses and potentially triggering a cascade of failures, such as girder cracking, bearing damage, or even bridge collapse.
Traditional manual inspection methods suffer from low efficiency, poor accuracy, and significant weather‑related limitations, making real‑time dynamic monitoring impractical. Periodic measurements fail to detect sudden deformations, leaving early warning of emergencies unattainable. Moreover, data are fragmented and difficult to analyze, hindering effective support for maintenance decision‑making.
Therefore, the development of an automated, round-the-clock, high-precision bridge structural health and safety monitoring and early-warning system—capable of real-time sensing of pier inclination and displacement, as well as beam‑state conditions, and providing intelligent alerts—has become an urgent necessity for ensuring operational safety, extending bridge service life, and reducing maintenance costs.
Solution Overview
This scheme employs automated monitoring technology based on an integrated tilt-monitoring instrument, utilizing a built-in high-precision… MEMS Sensing chip, 7 × 24 The system continuously collects triaxial inclination, acceleration, and ambient temperature and humidity data from bridge piers around the clock. The data are then… 4G/NB-IoT/LoRa The real-time data from the wireless communication network is transmitted to a cloud-based monitoring and early-warning platform, where multi-source data undergoes intelligent analysis, trend assessment, and disaster prediction. When monitored parameters exceed pre-set multi-level warning thresholds, the system automatically issues alerts through various channels—including on‑platform pop-up notifications, SMS messages, and on-site audio‑visual alarms—directed to maintenance and management personnel. This marks a shift from passive inspections to proactive early warning, providing a scientific basis for bridge structural health assessment, damage prevention, and emergency decision‑making.
The solution adheres to the principles of cost-effectiveness, real-time performance, and high accuracy, supporting simultaneous monitoring of multiple bridge piers and measurement points. Its monitoring frequency is customizable, meeting the safety management requirements of various bridge types, including highway bridges, railway bridges, and urban elevated bridges.
FEATURES OF THE SOLUTION
24/7 Automated Condition Monitoring
High precision and high reliability
Visualized Centralized Control
Multi-level Intelligent Early Warning
Wireless Networking and Low Power Consumption
System Architecture
The system employs a mature and robust three-tier IoT architecture, characterized by clear layering and reliable operation:
Perception Layer
It comprises an integrated array of intelligent sensing devices—such as inclinometers, crack meters, static leveling instruments, and vibration sensors—deployed on the building’s load-bearing walls, beams and columns, foundations, and surrounding retaining walls, responsible for acquiring real-time raw data on structural deformation, settlement, and vibration.
Network layer
By leveraging public or private wireless communication networks such as 4G, NB‑IoT, and LoRa, a low‑power, highly reliable uplink channel is established to securely and reliably transmit data from the perception layer to the cloud server.
Data Application Layer
The cloud-based monitoring and early-warning platform is responsible for data reception, storage, analysis, visualization, and the issuance of alerts. The platform offers real-time monitoring, historical data retrieval, trend analysis, alert‑rule configuration, device management, and system administration, while providing administrators with a user-friendly interface via both a web portal and a mobile app.
System platform
By deploying automated intelligent monitoring terminals, key structural data—including building tilt, crack patterns, and settlement—are collected in real time from the buildings and their associated retaining walls.
The backend data management platform performs intelligent analysis of multi-source monitoring data, assesses trends, and predicts potential disasters, while automatically pushing tiered early-warning notifications to relevant personnel.
System Implementation 7×24 Hourly, round-the-clock, all‑round dynamic monitoring enables users to track the deformation and structural health of buildings anytime, anywhere, providing a scientific basis for early warning, preventive measures, and maintenance management of building and retaining wall defects.
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Contact Information
6th Floor, Building 10, Entrepreneurship Industrial Park, Chaoyang Township, Qixing District, Guilin City, Guangxi Zhuang Autonomous Region
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