中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (8): 86-92.doi: 10.16265/j.cnki.issn1003-3033.2020.08.013

• 公共安全 • 上一篇    下一篇

面向机械安全风险预警的评估方法

周成1,2 高级工程师, 居里锴**2 副研究员   

  1. 1 南京理工大学 机械工程学院,江苏,南京 210094;
    2 南京理工大学 工程训练中心,江苏 南京 210094
  • 收稿日期:2020-05-10 修回日期:2020-07-04 出版日期:2020-08-28 发布日期:2021-07-15
  • 通讯作者: ** 居里锴(1974—),男,江苏南京人,硕士,副研究员,主要从事智能安全技术工作。E-mail: jwcjlk@njust.edu.cn。
  • 作者简介:周 成 (1986—),男,江苏涟水人,博士研究生,高级工程师,主要从事智能安全技术工作。E-mail: zhoucheng@njust.edu.cn。
  • 基金资助:
    国家重点研发计划课题(2017YFF0207201)。

A risk assessment method for early warning of mechanical safety risks

ZHOU Cheng1,2, JU Likai2   

  1. 1 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China;
    2 Engineering Training Centre, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China
  • Received:2020-05-10 Revised:2020-07-04 Online:2020-08-28 Published:2021-07-15

摘要: 针对机械安全风险预警缺少安全风险评估方法的问题,提出一种面向机械安全风险预警的风险评估方法。首先根据人、机器、环境产生的不安全因素,确定面向机械安全风险预警的风险评估主要包括监测值输入、风险值计算、预警级别确定、预警信息发布等步骤;其次提出一种量化计算风险的模型,并给出确定预警级别以及发布预警信息的方法;最后通过某机械臂风险评估案例,验证该风险评估方法的有效性。研究表明:面向机械安全风险预警的评估方法能够综合考虑人、机器、环境风险因素,依据风险值计算模型,实时分级开展智能制造系统安全风险预警。

关键词: 机械安全, 风险预警, 风险评估, 量化模型, 预警措施

Abstract: In order to fill up blank of risk assessment methods for mechanical safety risk early warning, an evaluation method was proposed. Firstly, steps of risk assessment were determined according to unsafe factors generated by workers, machines and environments, which mainly included monitoring value input, risk value calculation, early warning level determination and early warning information release. Secondly, a quantified risk value calculation model was put forward, and warning level determination and information release methods were presented. Finally, the proposed evaluation method was verified with risk assessment example of a certain mechanical arm. The research shows that this method comprehensively considers risk factors of workers, machines and environments, and can release real-time hierarchical risk early warning of intelligent manufacturing system according to risk value calculation model.

Key words: mechanical safety, risk early warning, risk assessment, quantitative model, early warning measures

中图分类号: