论文标题
数据驱动的人类责任管理系统
A Data-driven Human Responsibility Management System
论文作者
论文摘要
理想的安全工作场所被描述为工作人员按组织良好的命令履行职责，实时监控潜在的危险事件，以及事故和相关损害的数量被最小化。但是，由于缺乏全面的安全管理，与职业相关的死亡和伤害仍在增加，并且在过去几十年中受到了高度参加。因此，迫切需要一个智能安全管理系统，其中指示员工履行职责以及自动化风险评估，并在需要时提醒员工和部门。在本文中，提出了基于责任大数据分析和物联网（IoT）的工作场所安全管理的智能系统。现实世界的实施和评估表明，拟议的系统具有卓越的问责绩效，并通过实时监督和自我启动来提高责任履行。
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.
