arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2012.03190cs.AI
收藏

数据驱动的人力资源责任管理系统

A Data-driven Human Responsibility Management System

Leibniz University Hannover(汉诺威莱布尼茨大学);Hangzhou Quanshi Software Co., Ltd(杭州全视软件有限公司);National Cheng Kung University(国立成功大学);University of Maryland, Baltimore County(马里兰大学巴尔的摩县分校);Guangdong Pharmaceutical University(广东药科大学);Beijing Forestry University(北京林业大学);McGill University(麦吉尔大学);University of Southern Queensland(南昆士兰大学)

Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang

摘要:

理想的安全工作场所被描述为一个工作人员以良好的秩序履行职责的地方,潜在的危险事件被实时监控,事故和相关损害的数量被最小化。然而,由于缺乏全面的安全管理,近几十年来,与职业相关的死亡和伤害仍在增加,并受到高度关注。因此,迫切需要一个智能安全管理系统,指导员工履行职责,自动进行风险评估,并在需要时提醒员工和部门。本文提出了一种基于责任大数据分析和物联网的智能工作场所安全管理系统。现实世界的实施和评估表明,所提出的系统具有优越的问责性能,并通过实时监督和自我提醒提高责任履行。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑