主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

消防科学与技术 ›› 2026, Vol. 45 ›› Issue (9): 170-177.

• • 上一篇    下一篇

消防队站出动任务量评估体系研究

刘彤彤1,2,3, 张琰1,2,3, 李继宝1,2,3   

  1. (1.应急管理部天津消防研究所,天津 300381; 2.工业与公共建筑火灾防控技术应急管理部重点实验室,天津 300381; 3.天津市消防安全技术重点实验室,天津 300381)
  • 收稿日期:2025-07-10 修回日期:2026-06-26 出版日期:2026-09-15 发布日期:2026-09-15
  • 作者简介:刘彤彤,应急管理部天津消防研究所,研究实习员,主要从事火灾与警情分析研判、智慧消防方面的研究,天津市南开区卫津南路110号,300381,17853140393@163.com。
  • 基金资助:
    2025年天津市科技计划项目(25KPXNRC00030);应急管理部天津消防研究所基科费项目(2024SJ31)

Research on the evaluation system of fire station dispatch task volume

Liu Tongtong1,2,3, Zhang Yan1,2,3, Li Jibao1,2,3   

  1. (1. Tianjin Fire Science and Technology Research Institute of MEM, Tianjin 300381,China; 2. Key Laboratory of Fire Protection Technology for Industry and Building, Ministry of Emergency Management, Tianjin 300381, China; 3. Tianjin Key Laboratory of Fire Safety Technology, Tianjin 300381, China)
  • Received:2025-07-10 Revised:2026-06-26 Online:2026-09-15 Published:2026-09-15

摘要: 为实现消防队站出动任务量的科学评估,充分调动消防人员的工作积极性,同时为消防资源的合理配置打好基础,本研究基于历史出动数据,论证构建了包括任务危险性、资源占用度、处置复杂度、消防员感受等指标在内的评估指标体系,提出了人时-因子拟合任务量的评估算法架构,利用层次分析法、岭回归等主客观相结合的算法给出指标赋值方法、权重计算方法和工作负荷等级划分依据。在此基础上,以某城市真实数据为试点进行任务量评估,得出任务量随处置方式不同呈现梯度差异、火灾扑救的任务量显著高于其他类型等结论,与大众常识相符,验证了评估体系的科学性。对该市的队站工作负荷和人均工作负荷进行量化分析,发现该市高负荷队站的人均工作负荷均值是低负荷队站的8倍多,主城区队站承担较大任务量,但人均工作强度适宜,对近郊队站应考虑增派人手。消防队站出动任务量评估体系的构建为优化资源配置提供数据支撑,有利于提高管理部门对基层队站的重视程度,通过人员装备的合理调派,在一定程度上缓解消防队站间忙闲不均的问题。

关键词: 消防队站, 出动任务量, 任务危险系数, 工作负荷等级

Abstract: To achieve a scientific and rational assessment of task volumes, enhance the work motivation of firefighters, and lay the foundation for optimal resource allocation, this study constructs an evaluation index system based on historical dispatch data. The proposed system incorporates indicators such as task risk, resource occupancy, operational complexity, and firefighters' subjective feedback.A man-hour-factor fitting algorithm framework is introduced to assess task volumes, employing a combination of subjective and objective methods—including the Analytic Hierarchy Process (AHP) and ridge regression—to determine indicator scoring, weight calculation, and workload classification criteria. Based on this, a pilot study was conducted using real data from a city to evaluate task volume. The study concluded that task volume exhibits gradient variations depending on the disposal methods, and that firefighting tasks involve significantly higher workloads compared to other types. This finding is consistent with public understanding, validating the scientific robustness of the evaluation system. A quantitative analysis of workload per fire station and per capita in the city revealed that the average per capita workload in high-load stations was more than eight times that of low-load stations. Fire stations in the main urban area handled larger task volumes, yet maintained appropriate per capita work intensity. In contrast, suburban fire stations may require additional personnel. The establishment of a task volume evaluation system for fire stations provides data-driven support for optimizing resource allocation, helps raise management awareness regarding grassroots stations, and contributes to alleviating workload disparities among stations through rational deployment of personnel and equipment.

Key words: fire station, dispatch task volume, mission risk index, workload level