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

消防科学与技术 ›› 2026, Vol. 45 ›› Issue (3): 130-135.

• • 上一篇    下一篇

大规模森林火灾中消防飞机协同调度优化研究

张军1, 孙明乐2, 程聪3, 刘博1   

  1. （1.中国民航大学 交通科学与工程学院，天津 300300； 2.中国民航大学 航空工程学院，天津 300300； 3.河北工业大学 经济管理学院，天津 300132）
  • 收稿日期:2024-12-30 修回日期:2025-02-19 出版日期:2026-03-15 发布日期:2026-03-15
  • 作者简介:张 军，中国民航大学交通科学与工程学院硕士生导师，博士，主要从事应急调度、智能优化算法及其应用等研究，天津市东丽区津北公路2898号，300300，junzhang@cauc.edu.cn。
  • 基金资助:
    中央高校基本科研业务费项目（3122019098）

Research on co-scheduling optimization of firefighting aircraft in large-scale wildfires

Zhang Jun1, Sun Mingle2, Cheng Cong3, Liu Bo1   

  1. (1. Transportation Science & Engineering College, Civil Aviation University of China, Tianjin 300300, China; 2. Aeronautical Engineering Institute, Civil Aviation University of China, Tianjin 300300, China; 3. School of Economics and Management, Hebei University of Technology, Tianjin 300132, China)
  • Received:2024-12-30 Revised:2025-02-19 Online:2026-03-15 Published:2026-03-15

摘要： 面对数量众多的消防飞机，安全、科学地分配消防飞机的灭火任务成了提高灭火效率的关键。提出了一种适用于大规模森林火灾中的消防飞机调度问题的混合整数规划模型，并且开发了一种分支割算法进行求解。模型通过优化消防飞机的消防任务满足不同火灾区域在不同时间段的消防需求，保证每个区域的目标缺水量之和最小，以延缓火灾蔓延。结合多种消防飞机的飞行特性和任务约束，通过引入有效不等式加速求解过程，在不同规模的试验数据上验证算法的性能。结果表明，该模型可以用于复杂的空中资源分配问题，在确保安全的同时最大限度地提高灭火效率。

关键词: 空中消防, 任务调度, 应急救援, 混合整数规划, 有效不等式

Abstract: Faced with a large number of firefighting aircraft, safe and scientific allocation of firefighting tasks has become the key to improve the efficiency of firefighting. In this paper, we present a mixed-integer programming model for the firefighting aircraft scheduling problem in large-scale wildfires and develop a branch-and-cut algorithm to solve it. The model has been developed to address the diverse firefighting requirements of different regions at different times. And it ensure that the sum of the target water deficits in each region is minimized to slow down the spread of the fire. In this paper, we combine the flight characteristics and mission constraints of a variety of firefighting aircraft and accelerate the solution process by introducing effective inequalities, and validate the performance of the algorithms on experimental data of different sizes. The results show that the model can be used in complex air resource allocation problems to maximize firefighting efficiency while ensuring safety.

Key words: aerial firefighting, task scheduling, emergency rescue, mixed-integer programming, valid inequality