A Data-Driven Approach Based on Historical Hazard Records for Supporting Risk Analysis in Complex Workplaces

Wang Xinhao; Huang Xifei; Zhang YingjuPan XuhaiSheng Kai

首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Data-Driven Approach Based on Historical Hazard Records for Supporting Risk Analysis in Complex Workplaces

【24h】

A Data-Driven Approach Based on Historical Hazard Records for Supporting Risk Analysis in Complex Workplaces

机译：A Data-Driven Approach Based on Historical Hazard Records for Supporting Risk Analysis in Complex Workplaces

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Risk analysis, as an important prerequisite of risk management, is critical to reducing occupational injuries and other related losses. However, suffering greatly from incomplete hazard identification and inaccurate probability analysis, risk analysis is considered the weakest link in risk management, which seriously affects risk evaluation and control in complex workplaces. To improve the performance of hazard identification and analysis, a data-driven risk analysis approach is established, which consists of an improved equivalent class transformation (Eclat) algorithm, a sliding window model, and a change pattern mining algorithm. Through this approach, a large number of historical hazard records are transformed into association rules composed of object keywords and deviation keywords, and information such as potential keyword combinations, conditional probabilities of potential deviations, and the change pattern of potential hazards can be extracted. The function of the approach is threefold. Firstly, the data-driven risk analysis process is designed to identify the association rules between different hazard keywords. Secondly, Eclat algorithm is optimized to calculate the frequency and probability of potential hazards, which is conducive to improving the accuracy of probability estimation. Thirdly, the change pattern is developed to analyse the hazard change trend to support the cause analysis. A practical application in a Chinese hazardous chemical manufacturer is presented. Case studies have shown that the efficiency of the improved algorithm is increased by 13.68%, and 59.66% of potential hazards can be identified in advance, and relevant information can be extracted to support risk analysis.

著录项

来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2021年第45期|3628156.1-3628156.15|共15页
作者
Wang Xinhao; Huang Xifei; Zhang YingjuPan XuhaiSheng Kai;
展开▼
作者单位

Nanjing Tech Univ, 30 Puzhu Rd S, Nanjing 210000, Peoples R China|5Henzhen Urban Publ Safety & Technol Inst, Fuhua Rd, Shenzhen 518000, Peoples R China;

Shenzhen Green Century Environm Technol Co Ltd, 149 Shangbao East Rd, Shenzhen 518000, Peoples R China;

5Henzhen Urban Publ Safety & Technol Inst, Fuhua Rd, Shenzhen 518000, Peoples R ChinaNanjing Tech Univ, 30 Puzhu Rd S, Nanjing 210000, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

A Data-Driven Approach Based on Historical Hazard Records for Supporting Risk Analysis in Complex Workplaces

摘要

著录项

相关主题

期刊订阅