中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (1): 194-201.doi: 10.16265/j.cnki.issn1003-3033.2025.01.0742

• 应急技术与管理 • 上一篇    下一篇

应急救援装备保障能力评估模型

郑学召1,2(), 董贝贝1,2, 童鑫1,2,3, 王一硕1   

  1. 1 西安科技大学 安全科学与工程学院,陕西 西安 710054
    2 国家矿山救援西安研究中心, 陕西 西安 710054
    3 内蒙古科技大学 安全与应急管理产业学院,内蒙古 包头 014010
  • 收稿日期:2024-09-09 修回日期:2024-11-10 出版日期:2025-01-28
  • 作者简介:

    郑学召 (1977—),男,新疆焉耆人,博士,教授,主要从事应急技术与管理、灾害应急救援等方面的研究。E-mail:

  • 基金资助:
    陕西省社会科学基金资助(2022R058); 陕西省哲学社会科学研究专项项目(2023HZ1554)

Emergency rescue equipment support capability assessment model

ZHENG Xuezhao1,2(), DONG Beibei1,2, TONG Xin1,2,3, WANG Yishuo1   

  1. 1 College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
    2 Xi'an Research Center of National Mine Rescue, Xi'an Shaanxi 710054, China
    3 School of Safety and Emergency Management Industry, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China
  • Received:2024-09-09 Revised:2024-11-10 Published:2025-01-28

摘要:

为确保专业应急救援队伍的装备保障体系建设能够满足救援任务需求,并逐步适应复杂多变的灾害风险,通过文本挖掘法分析应急救援装备保障能力影响因素,基于技术人员保障能力、装备资源保障能力、设备设施保障能力、信息资源保障能力、管理体系保障能力5个方面,构建应急救援装备保障能力评估指标体系;为降低模糊性、随机性及主客观偏差对评价结果的影响,采用组合赋权法确定各评估指标权重,分别运用物元可拓与综合云模型构建综合评价方法,并以专业应急救援队伍A为例开展应用,验证模型的科学性和有效性。结果表明: 该指标体系能全面准确反映专业应急救援队伍应急救援装备保障能力综合水平,评价模型能够合理有效地评估应急救援装备保障能力等级,并反映当前救援队伍装备保障体系建设薄弱之处。

关键词: 应急救援装备保障能力, 评估模型, 专业应急救援队伍, 组合赋权, 物元可拓模型, 综合云模型

Abstract:

To ensure that the equipment support system of professional emergency rescue teams could meet the requirements of rescue tasks and gradually adapt to complex and variable disaster risks, a text mining method was applied to analyze the factors influencing the equipment support capacity of emergency rescue. Based on technical personnel support capability, equipment resource support capability, equipment and facility support capability, information resource support capability and management system support capability, an assessment index system for emergency rescue equipment support capacity was developed. To reduce the impact of fuzziness, randomness, and subjective-objective bias on assessment results, a combined weighting method was adopted to determine the weights of each assessment index. A comprehensive assessment method was established using the matter-element extension model and the integrated cloud model. Professional emergency rescue team A was selected as an example for application to verify the scientific validity and effectiveness of the model. The results show that the index system comprehensively and accurately reflects the overall level of emergency rescue equipment support capability of professional teams. The assessment model reasonably and effectively assesses the capability level and identifies weaknesses in the current equipment support system, providing improvement points and theoretical support for the development of the team's equipment support system.

Key words: emergency rescue equipment support capability, assessment model, professional emergency rescue team, combined weighting, matter-element extension model, integrated cloud model

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