Culvert Road Safety Assessment Using Roadbed Anti-Pressure Data
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Solution Overview
Problem
Existing road safety assessments during flood seasons are inadequate as they rely solely on culvert water levels, failing to account for the road's anti-pressure capability, leading to potential damage and casualties.
Innovation Solution
A method and apparatus that acquire real-time water level and roadbed state data within a preset distance from the culvert to determine anti-pressure capability, integrating soil pressure and moisture content data for accurate safety assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road safety assessment relies solely on culvert water level data, then the assessment process is simple and low-cost, but the accuracy of road safety assessment is insufficient
Solution Approach 1:
The patent combines water level monitoring data with roadbed state monitoring data (including soil pressure, moisture content, and displacement) into a unified assessment system. This integration allows comprehensive evaluation of road safety by considering both hydraulic conditions and structural response, thereby improving measurement precision without excessive complexity increase.
Solution Approach 2:
The assessment system is designed to perform multiple functions: monitoring water levels, measuring roadbed physical parameters, evaluating anti-pressure capability, and generating safety assessments. This multi-functionality enables the system to improve assessment accuracy while maintaining reasonable complexity through shared hardware and processing resources.
2Reliability
If traditional road safety assessment methods are used during flood seasons, then the monitoring process is simple, but road facilities may be damaged due to inadequate assessment
Solution Approach 1:
The system employs automatic monitoring with sensors that continuously collect water level and roadbed state data without human intervention. The embedded processing unit automatically analyzes the data and generates safety assessments, enabling the system to monitor and protect road facilities independently, thereby improving reliability while reducing labor requirements.
Solution Approach 2:
The system continuously monitors roadbed state parameters and provides real-time feedback on road safety conditions. This feedback mechanism allows for timely detection of dangerous states and automatic adjustment of monitoring frequency or alert generation, improving road safety reliability while maintaining efficient operation with minimal human resources.
3Measurement precision
If real-time monitoring of both water level and roadbed state is implemented, then the accuracy of road safety assessment is improved, but the device complexity and cost increase
Solution Approach 1:
The monitoring system is divided into separate functional modules: water level sensors, roadbed state sensors (soil pressure, moisture content, displacement), data acquisition units, and processing units. This segmentation allows each component to be optimized independently and facilitates maintenance while achieving comprehensive high-precision monitoring through coordinated operation of modular elements.
Data Source
AI summary
Provided are a road safety assessment method and apparatus, and an electronic device and a readable medium. The method comprises: acquiring real-time water level data in a culvert and real-time roadbed state data of a road within a preset distance range from the culvert (S201); on the basis of the roadbed state data, determining anti-pressure capability data of the road (S202); and on the basis of the water level data and the anti-pressure capability data, assessing the safety of the road to obtain a road safety assessment result (S203). The accuracy of road safety assessment is improved, and unattended monitoring without interruption can be realized.