石油化工安全环保技术 ›› 2026, Vol. 42 ›› Issue (3): 38-41.

• HSE 论坛 • 上一篇    

基于结构熵权法的化工企业项目 HSE 管理风险评价技术研究

贺雅丽   

  1. 华陆工程科技有限责任公司,陕西 西安 710065
  • 收稿日期:2025-07-15 接受日期:2026-05-15 出版日期:2026-06-20 发布日期:2026-07-06
  • 作者简介:贺雅丽,女, 2018年毕业于中国石油大学(北京)安全科学与工程专业,硕士,现从事安全环保管理工作,工程师。 E-mail: hyl2679@hlet.com

On HSE Management Risk Assessment Technol- ogy for Chemical Enterprise Projects Based on Structural Entropy Weight Method

He Yali   

  1. Hualu Engineering & Technology CO., LTD., Xi’an, Shaanxi, 710065
  • Received:2025-07-15 Accepted:2026-05-15 Online:2026-06-20 Published:2026-07-06

摘要: 为推进安全生产双重预防体系建设,进一步提升化工企业项目 HSE 管理水平,本文提出模糊结构熵权法,以某化工企业项目 HSE 管理为例,建立了基于规章制度、 HSE 费用投入、隐患管控及维护管理四方面的 HSE 专用风险评价指标体系,形成了基于结构熵权法的 HSE 管理风险评价方法。该方法通过引入结构熵权法量化了指标数据的不确定性,科学分配各指标权重,避免主观赋权的片面 性或客观赋权忽略指标内在结构关系的局限性。结果表明,该化工企业项目 HSE 管理风险评价分值为93 分,安全风险等级为低风险,结果符合现场实际,为现场 HSE 管理提供了技术支持。

关键词: 风险评价, 结构熵权法, 模糊综合评价

Abstract: To promote the construction of the dual prevention system for work safety and further enhance the HSE management of chemical enterprise projects, this paper proposes the fuzzy structural entropy weight method. Taking the HSE management of a project in a chemical enterprise as an example, this paper establishes a dedicated HSE risk evaluation index system covering four dimensions: rules and regulations, HSE investment, hazard control and maintenance management, and proposes an HSE management risk evaluation method based on the structural entropy weight method. This method adopts the structural entropy weight method to quantify the uncertainty of indicator data and scientifically assign weights to each index. It avoids the bias of subjective weighting and the limitation of objective weighting that neglects the internal structural relationship among indicators. The results show that the HSE management risk score of this chemical enterprise project is 93, corresponding to a low safety risk level. The evaluation results are consistent with the actual site conditions and this provides technical support for on-site HSE management.

Key words: risk assessment, structural entropy weight method, fuzzy comprehensive evaluation