中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (4): 103-108.doi: 10.16265/j.cnki.issn1003-3033.2018.04.018

• 安全工程技术科学 • 上一篇    下一篇

投影寻踪在棉纺织作业环境风险评估中的应用

张炜佶1, 卫飞2, 周睿1 助理研究员, 王淑云3 教授   

  1. 1 清华大学 公共安全研究院,北京 100084
    2 中国科学院 上海应用物理研究所, 上海 201800
    3 南华大学 环境保护与安全工程学院,湖南 衡阳 421001
  • 收稿日期:2017-12-15 修回日期:2018-02-09 出版日期:2018-04-28 发布日期:2020-09-28
  • 作者简介:张炜佶(1994—),男,苗族,四川成都人,硕士研究生,主要研究方向为公共安全与风险管理。E-mail:zhangwj16@mails.tsinghua.edu.cn。

Risk assessment of cotton textile enterprise working environment based on projection pursuit model

ZHANG Weiji1, WEI Fei2, ZHOU Rui1, WANG Shuyun3   

  1. 1 Institute for Public Safety Research, Tsinghua University, Beijing 100084, China
    2 Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
    3 School of Environment Protection and Safety Engineering, University of South China, Hengyang Hunan 421001, China
  • Received:2017-12-15 Revised:2018-02-09 Online:2018-04-28 Published:2020-09-28

摘要: 为预防棉纺织从业人员生产安全事件或职业病,利用投影寻踪研究棉纺织企业作业环境综合风险。通过对棉纺织企业作业环境特点及危害的实际调查,选取噪声、粉尘、微气候和照明等4个因素作为评价指标,构建棉纺织企业作业环境风险评估指标体系;采用投影寻踪和遗传算法确定指标的权重,建立棉纺织企业作业环境风险评估模型;用该模型综合评价中南地区某棉纺织企业生产车间作业环境风险。研究表明:该企业前纺车间属轻度危害作业,细纱车间属中度危害作业;用该方法能够实现多因素棉纺织作业环境风险评估。

关键词: 棉纺织企业, 作业环境, 风险评估, 投影寻踪, 遗传算法

Abstract: In order to prevent incidents and occupational disease in cotton textile enterprise, a projection pursuit model was built. Before building the model, by analyzing the hazards of the working environment in textile enterprises, four factors such as noise, dust, micro-climate and lighting were identified for the assessment. The effective temperature was used as a micro-climate evaluation index, a risk assessment system of textile enterprises was established. The index weight values were calculated by using the projection pursuit and genetic algorithm. An application of the model was made to assessment of risk in a certain cotton textile enterprise in China. The results show that the fore-spinning workshop is a slightly harmful working environment and the spinning workshop is a moderately harmful working environment.

Key words: cotton textile enterprises, working environment, risk assessment, projection pursuit, genetic algorithm

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