空中交通管制员排班关键方法研究与系统实现

发布时间：2018-05-17 22:34

本文选题：管制员排班 + 排班影响因素　；参考：《中国民航大学》2017年硕士论文

【摘要】：随着航空运输业的高速发展,扇区和管制员的数量在不断增加,各地区空管部门根据自己的人员、环境情况采用了不同的倒班方式。空中交通管制工作是一个对安全要求极高的全天性服务工作,什么样的倒班方式是科学合理的一直是管理层关心的重点问题。在我国,管制员排班主要还是手工排班,随着参与排班人员数量的快速增长,手工排班的工作量也呈指数增长,加上还有许多限制条件需要考虑,因此运行单位也提出能否开发一个管制员自动排班系统。本论文就是在这样的运行需求情况下进行的研究工作。论文主要工作如下:1.在西北管制中心走访和调研后,设计了倒班对管制员的影响、倒班影响因素权重、排班影响因素权重三个方面内容的调查问卷,对收上来的229份有效问卷进行了分析,对影响因素采用层次分析法进行了权重计算,给出了影响因素权重值和相应的建议。2.对全国七大空管局的倒班方式进行了搜集和归纳,针对西北管制中心席位的排班要求,计算了各种倒班方式对西北管制中心的适用性,给出了相关建议。3.建立了基于公平性的管制员排班模型。从管制员排班的公平性出发,在满足民航局对于管制工作的各种约束条件的基础上,将管制员工作时长作为衡量管制工作公平性的主要因素建立自动排班模型。进一步,加入对管制员排班公平性影响较大的夜班工作时间和不同管制扇区工作次数,将模型扩展。通过基于公平性的排班算法设计,实现了管制员的系统自动排班,提高了管制员排班的公平性,实现了人力资源优化配置。4.开发了管制员自动排班管理系统。管制员自动排班管理系统可以将管制员的个人信息录入管制员排班系统,能实现管制员的自动排班功能,满足民航局与空管局对排班的要求,并可以选择不同的排班模式,对排班时间表进行设定和修改。管制员可以通过查询功能对自己的上班时间进行查询,同时也可以选择手动排班对生成的排班列表进行人工调整,满足实际排班的临时特殊需求。
[Abstract]:With the rapid development of the air transportation industry, the number of sectors and controllers is increasing. According to their own personnel, the regional air traffic control departments adopt different shifts. Air traffic control is an all-in-nature service with high safety requirements. What kind of shift mode is scientific and reasonable has always been the key concern of management. In our country, the main shift scheduling is manual scheduling. With the rapid increase in the number of people involved in scheduling, the workload of manual scheduling is also increasing exponentially, and there are still many restrictions to be considered. Therefore, the operating unit also raised the possibility of developing an automatic scheduling system for controllers. This paper is in such a case of operational requirements for research work. The main work of this paper is as follows: 1. After visiting and investigating the Northwest Control Center, the author designed a questionnaire about the effect of shift on controller, the weight of shift influencing factors and the weight of shift scheduling factors, and analyzed 229 valid questionnaires. The weight of influencing factors is calculated by analytic hierarchy process (AHP), and the weight value of influencing factors and corresponding suggestions are given. This paper collects and summarizes the shift mode of the seven national air traffic control bureaus, calculates the applicability of each shift mode to the northwest control center, and gives the relevant suggestions. 3. According to the scheduling requirements of the seats of the northwest control center, the author calculates the applicability of the shift mode to the northwest control center. The controller scheduling model based on fairness is established. Based on the fairness of the scheduling of controllers and on the basis of satisfying all kinds of constraints on the control work of the Civil Aviation Authority, the automatic scheduling model is established by using the length of the controller's working hours as the main factor to measure the fairness of the control work. Furthermore, the model is extended by adding the night shift working hours and the number of times in different control sectors, which have a great influence on the fairness of controller scheduling. Through the design of the scheduling algorithm based on fairness, the automatic scheduling of the controller system is realized, the fairness of the scheduling of the controllers is improved, and the optimal allocation of human resources is realized. The automatic shift management system of controller is developed. The controller automatic shift management system can input the personal information of the controller into the controller scheduling system, realize the automatic scheduling function of the controller, meet the requirements of the CAAC and the AA, and choose different scheduling modes. Set and modify scheduling schedule. Controllers can query their working hours through the query function, and can also choose manual scheduling to manually adjust the generated scheduling list to meet the temporary special needs of actual scheduling.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：V355.1

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