首页|A Novel Risk Informatization Assessment System for In-Service Highway Slope Based on Network

A Novel Risk Informatization Assessment System for In-Service Highway Slope Based on Network

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Aiming at the information evaluation of traffic infrastructure in-service roadside slope risk assessment,the method of risk assessment for highway slope engineering is proposed by using the combination of quantitative and qualitative methods,and a new risk assessment method is proposed and improved.The system,in order to prevent the risks in slope engineering,serves the scientific decision-making of the maintenance,operation and management of the in-service road slopes.Based on the analysis of the special geological conditions,complex surrounding environment and construction schemes of existing highway slopes in China,this paper establishes an in-service slope evaluation model for in-service roads,and designs the scheme diagram of the in-service road slope evaluation system based on the networked Internet platform.Moreover,a set of in-service roadside slope risk assessment system software,the system component block diagram and the main design interface are given.This system can meet the needs of comprehensive evaluation of multi-factors in service road slopes.

in-service road slopeslope disasterslope dynamic informationnetworked softwareregional geological conditions

CHAI Caiping、GUAN Limin、WANG Yunfei、CUl Wenfen、WANG Huifeng

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School of Highway & Railway Engineering, Shaanxi College of Communication Technology, Xi'an 710018, Shaanxi,China

School of Electronic & Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

Supported by the China Postdoctoral Science FoundationShaanxi Province Postdoctoral Science FundFundamental Research Funds for the Central Universities,CHDFundamental Research Funds for the Central Universities,CHD13th Five-Year Equipment Advanced Research Fund ProjectScience and Technology Project of Shannxi Provincial Transportation DepartmentScience and Technology Project of Shannxi Provincial Transportation Department

2019T1208722017BSHEDZZ403001023294013001023295026140312010517-16K17-33T

2020

10.19823/j.cnki.1007-1202.2020.0031

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

CSTPCDCSCD
影响因子：0.066
ISSN：1007-1202
年,卷(期)：2020.25(3)
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