Bridge health monitoring

Bridge health monitoring

Business Challenge

There are many high-risk work scenariosWork scenarios such as working at heights, wading through water, and working inside box girders are highly dangerous, and old bridges also pose a risk of collapse;

Inadequate coverage of manual inspectionBridge components are complex and have many concealed points, making manual inspection incomplete and time-consuming. Areas such as underwater pile foundations are prone to missed inspections;

Data fragmentation makes it difficult to linkVarious types of monitoring data are scattered and fragmented, making it difficult to integrate and analyze them, leading to delays in disease tracing and trend analysis;

High operation and maintenance input costManual inspection requires road closure, scaffolding, and diving operations, which are costly, inefficient, and require significant long-term operational and maintenance investment;

Sudden risk warning delayThere is no real-time monitoring for sudden conditions such as extreme weather, ship collisions, and heavy loads, leading to delayed warning of potential hazards and an increased risk of safety accidents.

Solution Introduction Relying on the vertical AI large model of bridges and structural health perception, integrating satellite, sensor, drone, underwater robot, and digital twin technologies, an all-weather intelligent bridge health monitoring system is established:

Large-scale screening of bridges across the entire regionThrough satellite InSAR technology, detailed observations are conducted on the uneven settlement of bridge groups/large bridges within cities;

Structural stress and deformation monitoringEquipments for structural stress monitoring, inclination monitoring, Beidou positioning, environmental monitoring, and dynamic load monitoring are installed to conduct real-time monitoring of the bridge's health status around the clock;

Intelligent inspection of appearance defectsThe drone, equipped with high-definition and infrared devices, relies on the vertical AI model of the bridge to automatically identify various defects on the bridge's appearance and precisely locate them.

Underwater robotic pile foundation monitoringThe underwater robot conducts full coverage inspection of pile caps, quantifies and investigates defects in underwater structures, and replaces high-risk manual diving.

Underwater robotic pile foundation monitoringBuild a digital twin platform, gather multi-source data for intelligent analysis, set automatic threshold alerts, and achieve rapid positioning and disposal of hidden dangers.

Solution Value

Reduce safety risks associated with homeworkIntelligent equipment replaces manual labor in entering high-altitude, water-crossing, enclosed, and high-risk areas, eliminating safety accidents such as falls, drownings, collapses, and falling objects from the source, ensuring the personal safety of operators.

Enhance monitoring coverage and efficiencyAchieve 24/7 uninterrupted comprehensive monitoring, ensuring no dead zones and covering the upper structure, underwater foundation, and concealed components; AI automatically identifies, analyzes, and reports, significantly enhancing inspection efficiency and significantly reducing the rates of missed and false inspections.

Realize proactive early warning of hidden dangersThrough multi-source data fusion analysis, we can accurately capture minor deformations, early-stage diseases, and abnormal operating conditions, enabling a shift from reactive repair to proactive prevention. Early warnings of high-risk hazards can be issued, allowing sufficient time for maintenance decisions and traffic control.

Reduce the total lifecycle operation and maintenance costsReduce expenses related to manual inspection frequency, on-site surveys, scaffold setup, and traffic control; precisely locate defects, implement targeted maintenance, avoid blind repairs, extend the service life of bridges, and reduce long-term operation and maintenance costs.

Support digital management of bridgesEstablish an integrated "sky-air-ground-sea" monitoring system, break down data barriers, and achieve health management throughout the entire lifecycle of bridges; ensure data traceability, analyzability, and shareability, supporting the digitalization and intelligent upgrading of transportation infrastructure.