A Data-driven Human Responsibility Management System

被引:0
|
作者
Tang, Xuejiao [1 ]
Qiu, Jiong [2 ]
Chen, Ruijun [3 ]
Zhang, Wenbin [4 ]
Iosifidis, Vasileios [1 ]
Liu, Zhen [5 ]
Meng, Wei [6 ]
Zhang, Mingli [7 ]
Zhang, Ji [8 ]
机构
[1] Leibniz Univ Hannover, Hannover, Germany
[2] Hangzhou Quanshi Software Co Ltd, Hangzhou, Peoples R China
[3] Natl Cheng Kung Univ, Tainan 701, Taiwan
[4] Univ Maryland Baltimore Cty, Baltimore, MD 21228 USA
[5] Guangdong Pharmaceut Univ, Guangzhou, Peoples R China
[6] Beijing Forestry Univ, Beijing, Peoples R China
[7] McGill Univ, Montreal, PQ, Canada
[8] Univ Southern Queensland, Toowoomba, Qld, Australia
关键词
DIRECTED ACYCLIC GRAPHS;
D O I
10.1109/BigData50022.2020.9378484
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An ideal safe workplace is described as a place where staffs fulfill responsibilities in a well-organized order, potential hazardous events are being monitored in real-time, as well as the number of accidents and relevant damages are minimized. However, occupational-related death and injury are still increasing and have been highly attended in the last decades due to the lack of comprehensive safety management. A smart safety management system is therefore urgently needed, in which the staffs are instructed to fulfill responsibilities as well as automating risk evaluations and alerting staffs and departments when needed. In this paper, a smart system for safety management in the workplace based on responsibility big data analysis and the internet of things (IoT) are proposed. The real world implementation and assessment demonstrate that the proposed systems have superior accountability performance and improve the responsibility fulfillment through real-time supervision and self-reminder.
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页码:5834 / 5838
页数:5
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