Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites
The concern for workers’ safety in construction industry is reflected in many studies focusing on static safety risk identification and assessment. However, studies on real-time safety risk assessment aimed at reducing uncertainty and supporting quick response are rare. A method for real-time safety...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/235970 |
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| _version_ | 1832545617508827136 |
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| author | Hanchen Jiang Peng Lin Qixiang Fan Maoshan Qiang |
| author_facet | Hanchen Jiang Peng Lin Qixiang Fan Maoshan Qiang |
| author_sort | Hanchen Jiang |
| collection | DOAJ |
| description | The concern for workers’ safety in construction industry is reflected in many studies focusing on static safety risk identification and assessment. However, studies on real-time safety risk assessment aimed at reducing uncertainty and supporting quick response are rare. A method for real-time safety risk assessment (RTSRA) to implement a dynamic evaluation of worker safety states on construction site has been proposed in this paper. The method provides construction managers who are in charge of safety with more abundant information to reduce the uncertainty of the site. A quantitative calculation formula, integrating the influence of static and dynamic hazards and that of safety supervisors, is established to link the safety risk of workers with the locations of on-site assets. By employing the hidden Markov model (HMM), the RTSRA provides a mechanism for processing location data provided by the real-time location system (RTLS) and analyzing the probability distributions of different states in terms of false positives and negatives. Simulation analysis demonstrated the logic of the proposed method and how it works. Application case shows that the proposed RTSRA is both feasible and effective in managing construction project safety concerns. |
| format | Article |
| id | doaj-art-fc5d12ff5ccc4f639fb9fb7ed6b248d7 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-fc5d12ff5ccc4f639fb9fb7ed6b248d72025-02-03T07:25:20ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/235970235970Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction SitesHanchen Jiang0Peng Lin1Qixiang Fan2Maoshan Qiang3State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Haidian, Beijing 100084, ChinaState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Haidian, Beijing 100084, ChinaChina Yangtze Three Gorges Group Corporation, Beijing 100038, ChinaState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Haidian, Beijing 100084, ChinaThe concern for workers’ safety in construction industry is reflected in many studies focusing on static safety risk identification and assessment. However, studies on real-time safety risk assessment aimed at reducing uncertainty and supporting quick response are rare. A method for real-time safety risk assessment (RTSRA) to implement a dynamic evaluation of worker safety states on construction site has been proposed in this paper. The method provides construction managers who are in charge of safety with more abundant information to reduce the uncertainty of the site. A quantitative calculation formula, integrating the influence of static and dynamic hazards and that of safety supervisors, is established to link the safety risk of workers with the locations of on-site assets. By employing the hidden Markov model (HMM), the RTSRA provides a mechanism for processing location data provided by the real-time location system (RTLS) and analyzing the probability distributions of different states in terms of false positives and negatives. Simulation analysis demonstrated the logic of the proposed method and how it works. Application case shows that the proposed RTSRA is both feasible and effective in managing construction project safety concerns.http://dx.doi.org/10.1155/2014/235970 |
| spellingShingle | Hanchen Jiang Peng Lin Qixiang Fan Maoshan Qiang Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites The Scientific World Journal |
| title | Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites |
| title_full | Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites |
| title_fullStr | Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites |
| title_full_unstemmed | Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites |
| title_short | Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites |
| title_sort | real time safety risk assessment based on a real time location system for hydropower construction sites |
| url | http://dx.doi.org/10.1155/2014/235970 |
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