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基于队列调度算法的民机驾驶舱人机功能分配模型

任波西 孙有朝 刘威成 曾喆 曾一宁

交通信息与安全2025,Vol.43Issue(1):107-119,13.
交通信息与安全2025,Vol.43Issue(1):107-119,13.DOI:10.3963/j.jssn.1674-4861.2025.01.010

基于队列调度算法的民机驾驶舱人机功能分配模型

A Human Machine Function Allocation Model Based on Queue Scheduling Algorithm in the Cockpit of a Civil Aircraf

任波西 1孙有朝 1刘威成 1曾喆 1曾一宁1

作者信息

  • 1. 南京航空航天大学民航学院 南京 211106
  • 折叠

摘要

Abstract

The high complexity of the aircraft cockpit human-machine system(ACHMS)has resulted in increasing-ly heavy information flow loads for pilots.To address this challenge,a human-machine function allocation model is proposed based on queue scheduling algorithms.The operational complexity of flight procedures and pilot resource requirements during human-machine interactions are quantitatively evaluated using entropy analysis.A spatiotempo-ral dynamic factor-integrated metric is proposed to measure pilot information flow load intensity,serving dual pur-poses as directed edge weights in information interaction networks and scheduling criteria.These networks are sub-sequently constructed to visually represent information transmission processes and coupling relationships between pilots and cockpit interfaces.Building on the mapping relationship between ACHMS and computer operating sys-tems,the serial scheduling mechanism of the weighted round robin(WRR)algorithm is extended.A queue-weight-based cognitive resource differential allocation and information flow queuing scheduling mechanism is established,while a human-machine function allocation strategy for cockpits is proposed based on the improved WRR algorithm.The Boeing 737 takeoff procedure serves as a validation case,with information flows systematical-ly extracted throughout operational phases.A human-machine coupled information interaction network is construct-ed for takeoff procedures,with the enhanced WRR algorithm deployed for dynamic scheduling and function alloca-tion triggering.Post-allocation analysis reveals significant improvements:pilot node closeness centrality improves by 4.82 times,betweenness centrality rises by 0.47%,and network robustness enhances 4.24 times.Maximum reduc-tions of 86.8%in pilot load intensity and 93.5%in information coupling degree are achieved.The case verified the effectiveness of the proposed human-machine function allocation model in reducing the pilot information flow load at critical moments,thereby improve flight safety.

关键词

人机交互/人机系统/人机功能分配/队列调度算法/信息流负载

Key words

human-machine interaction/human-machine system/human-machine function allocation/queue sched-uling algorithm/information flow load

分类

航空航天

引用本文复制引用

任波西,孙有朝,刘威成,曾喆,曾一宁..基于队列调度算法的民机驾驶舱人机功能分配模型[J].交通信息与安全,2025,43(1):107-119,13.

基金项目

国家自然科学基金项目(52172387)、国家自然科学基金民航联合基金项目(U2033202、U1333119)、中央高校基本科研业务费(ILA22032-1A)、航空科学基金项目(2022Z071052001)、南京航空航天大学研究生科研与实践创新计划(xcxjh20230728、xcxjh20230729)资助 (52172387)

交通信息与安全

OA北大核心

1674-4861

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