China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (1): 194-201.doi: 10.16265/j.cnki.issn1003-3033.2025.01.0742

• Emergency technology and management • Previous Articles     Next Articles

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 Online:2025-01-28 Published:2025-07-28

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

CLC Number: