Safety Evaluation of Navigation Forest Fire Rescue Flight Task Scheduling Scheme Based on Flight Path Conflict Detection

Hao XU , Ming-hui WANG , Jing-jing QU , Xin-ping ZHU

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (3) : 1306 -1312.

PDF
Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (3) : 1306-1312 DOI: 10.12404/j.issn.1671-1815.2309280
research-article
Safety Evaluation of Navigation Forest Fire Rescue Flight Task Scheduling Scheme Based on Flight Path Conflict Detection
Author information +
History +
PDF

Abstract

To evaluate the safety of navigation flight task scheduling schemes in forest fire rescue, safety evaluation indicators for navigation rescue task scheduling schemes were proposed by detecting the flight path conflicts of various general aircraft. Using an airspace grid model to model the rescue flight environment, and planning the rescue flight paths of aircraft with different performance constraints based on their respective task scheduling schemes, and conducting trajectory conflict detection to evaluate the safety of the task scheduling scheme. The simulation results show that this method has a 53.8% improvement in time efficiency compared to the direct conflict detection algorithm, and a 6.7% improvement in accuracy compared to the efficient spatiotemporal synchronous route conflict detection method. It can be seen that this method can efficiently and accurately predict track conflicts in rescue flights and evaluate the safety of task scheduling schemes, providing effective decision support for navigation rescue command and scheduling work.

Keywords

conflict detection / security assessment / spatiotemporal filtering / spatial grid

Cite this article

Download citation ▾
Hao XU, Ming-hui WANG, Jing-jing QU, Xin-ping ZHU. Safety Evaluation of Navigation Forest Fire Rescue Flight Task Scheduling Scheme Based on Flight Path Conflict Detection. Science Technology and Engineering, 2025, 25(3): 1306-1312 DOI:10.12404/j.issn.1671-1815.2309280

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

PDF (5308KB)

18

Accesses

0

Citation

Detail

Sections
Recommended

/

〈 〉