[1]周督异,王兴隆.动态安全间隔下机场飞行区冲突热点识别*[J].中国安全生产科学技术,2024,20(9):197-207.[doi:10.11731/j.issn.1673-193x.2024.09.024]
ZHOU Duyi,WANG Xinglong.Identification of conflict hotspots in airport flight area under dynamic safety separation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(9):197-207.[doi:10.11731/j.issn.1673-193x.2024.09.024]
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动态安全间隔下机场飞行区冲突热点识别*
ZHOU Duyi,WANG Xinglong.Identification of conflict hotspots in airport flight area under dynamic safety separation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(9):197-207.[doi:10.11731/j.issn.1673-193x.2024.09.024]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 20
- 期数:
- 2024年9期
- 页码:
- 197-207
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2024-09-30
文章信息/Info
- Title:
- Identification of conflict hotspots in airport flight area under dynamic safety separation
- 文章编号:
- 1673-193X(2024)-09-0197-08
- Keywords:
- complex network; dynamic separation; hermetic safety area; quadratic improved entropy weight method; conflict hotspot identification
- 分类号:
- X949
- 文献标志码:
- A
- 摘要:
- 为精准监视机场飞行区场面运行冲突，提出1种动态安全间隔下的飞行区冲突热点识别方法。首先，将航空器和车辆2种活动目标作为研究对象，根据目标的实时运动速率，建立具有空间闭塞、范围时变特点的安全区模型，从而使目标间实时保持动态安全间隔；然后，从目标间距、运动方向、运动速率3个方面综合开展冲突认定，建立冲突网络表征冲突关系并划设场面冲突区域，选定6个指标评价网络节点，采用二次改进熵权法计算区域熵权，根据冲突占比识别冲突热点；最后，以某大型枢纽机场为实例，采用4种方法对比分析，识别出3个不同冲突程度的热点区域。研究结果表明：闭塞安全区能够使目标间保持动态安全间隔，是准确认定冲突的基础；采用2次改进熵权法计算区域熵权的平均相对误差值相比于传统熵权法和1次改进熵权法分别减少66.5%和53.7%；2次改进熵权法能够更客观精准地识别冲突热点，在一定程度上可以及时监视场面冲突并明确热点位置，保障机场飞行区的运行安全。研究结果可为精准监视机场飞行区场面运行冲突提供新方法，进而保障机场飞行区安全运行。
- Abstract:
- To accurately monitor the surface operation conflict of airport flight area,a method for identifying the conflict hotspots in the flight area under the dynamic safety separation was proposed.Firstly,taking two activity targets of aircraft and vehicle as the research objects,a safety area model with the characteristics of hermetic space and time-varying range was established according to the real-time movement speed of the targets,so as to maintain the dynamic safety separation between the targets in real-time.Secondly,the conflict identification was carried out comprehensively from three aspects: target separation,movement direction,and movement speed,and a conflict network was established to represent the conflict relationship and delineate the surface conflict areas.Six indexes were selected to evaluate the network nodes,then the quadratic improved entropy weight method was used to calculate the entropy weight of the area,and the conflict hotspots were identified according to the proportion of conflicts.Finally,taking a large hub airport as an example,four methods were compared and analyzed to identify three hotspot areas with different conflict degrees.Among them,the average relative error value of entropy weight of the area was calculated by using the quadratic improved entropy weight method,which decreased by 66.5% and 53.7% respectively compared to the traditional entropy weight method and the primary improved entropy weight method.The results show that the hermetic safety area can make the targets maintain dynamic safety separation,which is the basis for accurately identifying the conflict.The quadratic improved entropy weight method can objectively and accurately identify the conflict hotspots,timely monitor the surface conflict,and ensure the operation safety of the airport flight area.The research results can provide a new method for accurately monitoring the surface operation conflicts of the airport flight area,thus ensuring the operation of airport flight area.
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备注/Memo
- 备注/Memo:
-
收稿日期： 2024-05-12
* 基金项目： 国家自然科学基金项目(62173332,U2133207)；天津市科技计划项目（21JCYBJCO0700）；中国民航大学研究生科研创新项目（2023YJSKC030010）
作者简介： 周督异，硕士研究生，主要研究方向为飞行区运行冲突风险识别。
通信作者： 王兴隆，硕士，研究员，主要研究方向为飞行区风险态势感知。
