Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets
As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requi...
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Online Access: | http://dx.doi.org/10.1155/2013/178954 |
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doaj-875e2dfcd3044476b860da7d12b1ef672020-11-25T01:40:37ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/178954178954Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy SetsYan Liu0Ting-Hua Yi1Zhen-Jun Xu2College of Architectural Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaSchool of Civil Engineering, Dalian University of Technology, Dalian 116023, ChinaCollege of Architectural Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaAs a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requirements of the State Administration of Work Safety and using case-based reasoning (CBR), this paper expounds on the concept and flow of highway construction safety early warnings based on CBR. The present study provides solutions to three key issues, index selection, accident cause association analysis, and warning degree forecasting implementation, through the use of association rule mining, support vector machine classifiers, and variable fuzzy qualitative and quantitative change criterion modes, which fully cover the needs of safe early warning systems. Using a detailed description of the principles and advantages of each method and by proving the methods’ effectiveness and ability to act together in safe early warning applications, effective means and intelligent technology for a safe highway construction early warning system are established.http://dx.doi.org/10.1155/2013/178954 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yan Liu Ting-Hua Yi Zhen-Jun Xu |
spellingShingle |
Yan Liu Ting-Hua Yi Zhen-Jun Xu Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets The Scientific World Journal |
author_facet |
Yan Liu Ting-Hua Yi Zhen-Jun Xu |
author_sort |
Yan Liu |
title |
Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets |
title_short |
Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets |
title_full |
Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets |
title_fullStr |
Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets |
title_full_unstemmed |
Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets |
title_sort |
safety early warning research for highway construction based on case-based reasoning and variable fuzzy sets |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
1537-744X |
publishDate |
2013-01-01 |
description |
As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requirements of the State Administration of Work Safety and using case-based reasoning (CBR), this paper expounds on the concept and flow of highway construction safety early warnings based on CBR. The present study provides solutions to three key issues, index selection, accident cause association analysis, and warning degree forecasting implementation, through the use of association rule mining, support vector machine classifiers, and variable fuzzy qualitative and quantitative change criterion modes, which fully cover the needs of safe early warning systems. Using a detailed description of the principles and advantages of each method and by proving the methods’ effectiveness and ability to act together in safe early warning applications, effective means and intelligent technology for a safe highway construction early warning system are established. |
url |
http://dx.doi.org/10.1155/2013/178954 |
work_keys_str_mv |
AT yanliu safetyearlywarningresearchforhighwayconstructionbasedoncasebasedreasoningandvariablefuzzysets AT tinghuayi safetyearlywarningresearchforhighwayconstructionbasedoncasebasedreasoningandvariablefuzzysets AT zhenjunxu safetyearlywarningresearchforhighwayconstructionbasedoncasebasedreasoningandvariablefuzzysets |
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1725044650055565312 |