Bridge Safety Monitoring with 3D Scanning and Adaptive Thresholds
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Solution Overview
Problem
Existing bridge safety monitoring methods struggle to accurately assess the condition of both new and old bridges due to differing service lives and design standards, leading to reduced precision in anomaly detection.
Innovation Solution
A method and system that utilize 3D scanning to differentiate between new and old bridges, applying specific monitoring data thresholds and simulations based on 3D models to determine safety status and generate reliable early warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same monitoring parameter and threshold are applied to both new and old bridges, then the monitoring system is simple and easy to operate, but the measurement precision and anomaly detection accuracy are reduced
Solution Approach 1:
The patent applies different monitoring parameters and thresholds to new bridges versus old bridges based on their specific characteristics. New bridges use parameters related to construction quality and initial structural integrity, while old bridges use parameters related to wear, corrosion, and historical damage patterns. This local differentiation resolves the contradiction by tailoring the monitoring system to specific bridge types, thereby improving detection accuracy without significantly complicating overall system operation.
Solution Approach 2:
The monitoring system dynamically adjusts parameters and thresholds based on the bridge's service life and historical data. The system learns from past performance and adapts its monitoring criteria over time, allowing it to maintain high precision for both new and old bridges. This dynamic adaptation enables the system to improve accuracy while managing complexity through automated adjustment rather than manual reconfiguration.
2Measurement precision
If different monitoring parameters and thresholds are applied to new and old bridges, then the anomaly detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent segments the monitoring system into distinct modules for new bridge monitoring and old bridge monitoring, each with its own specialized parameters and thresholds. This segmentation allows for optimized detection accuracy for each bridge type while managing complexity through modular architecture. The segmented structure enables independent development and maintenance of each monitoring paradigm, reducing the cognitive load on the overall system.
Solution Approach 2:
The system uses 3D scanning to create digital copies of bridges and performs simulations to generate virtual models for threshold determination. By copying bridge geometry and behavior into simulation environments, the system can pre-determine appropriate thresholds without physically testing every scenario, thereby reducing operational complexity while maintaining high detection accuracy.
3Measurement precision
If 3D scanning and simulation are performed to determine bridge type and thresholds, then the anomaly detection precision is improved, but the loss of time increases
Solution Approach 1:
The patent performs 3D scanning and simulation tests in advance during bridge construction or initial assessment to establish baseline thresholds. By completing these time-consuming tasks beforehand, the actual monitoring operation can focus solely on data collection and comparison, significantly reducing real-time processing time. The preliminary creation of digital twins and threshold datasets enables rapid anomaly detection during operational phases.
Solution Approach 2:
The system automatically performs 3D scanning, model generation, and threshold determination without requiring manual intervention or expert analysis for each individual assessment. The automated self-service approach handles the time-consuming tasks of data acquisition and processing, reducing overall time loss while maintaining high precision through consistent algorithmic application of monitoring criteria.
Data Source
AI summary
A method and a system for monitoring and early warning of a safety status of a bridge are provided. The method includes: in response a bridge to be monitored being a new bridge, collecting first monitoring data of the bridge in real time, determining a first monitoring data threshold set, performing a first comparison between the first monitoring data and the first monitoring data threshold set to obtain a first comparison result, and displaying the first comparison result in real time; in response to the bridge to be monitored being an old bridge, collecting second monitoring data of the bridge in real time, determining a second monitoring data threshold set, performing a second comparison between the second monitoring data and the second threshold to obtain a second comparison result, and displaying the second comparison result in real time.