基于物联网的铁路物流中心集装箱功能区装卸资源调度优化研究

发布时间：2018-01-11 23:25

本文关键词：基于物联网的铁路物流中心集装箱功能区装卸资源调度优化研究　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：近几年,共享经济的热潮为我国的物流行业带来了新的发展思路,诞生了大批物流信息共享平台。物联网技术的广泛应用则为信息共享平台智能化水平的提高带来了新的发展生机。在物流行业不断创新发展和铁路货运改革初见成效的大背景下,铁路货运需要紧跟改革创新潮流,取长补短,拓宽经营思路,与社会物流企业或个人建立长期有效的合作关系,利用社会物流资源完善末端运输网络,真正实现“门到门”运输。而良好的合作关系则依赖于有效的信任机制及良好的服务质量,反映在运输过程中就是货卡司机准时到达指定地点,并在期望完成时间内完成货物装卸作业。这就对铁路物流中心内部的装卸资源调度提出了更高的要求。本文以物联网技术和物流信息共享平台的应用为背景,将现代数学方法、系统化思想等理论引入到铁路物流中心的装卸资源调度优化研究中,主要研究内容包括以下部分:1.详细介绍了物联网技术在铁路物流中心的应用方式及物流信息共享平台的建设意义,指明了建设基于物联网的铁路物流信息共享平台的目标。2.明确现代铁路物流中心的概念、分析现代铁路物流中心的特征以及未来的发展趋势,以集装箱功能区为例,详细阐述了其整体布局、作业流程及资源分类。3.以铁路物流中心走向市场为出发点,综合考虑外集卡司机的满意度和铁路物流中心内部装卸资源的作业效率,选取集装箱功能区为研究对象,以外集卡平均延误时间最短和轨道门吊最大作业时间最小为目标,以列车到发时刻、外集卡进场时刻及期望离场时刻等信息为依据设置集装箱作业任务的时间窗,并考虑门吊安全作业距离及门吊间不能相互跨越等约束,建立基于物联网平台下的装卸资源调度多目标优化模型。4.设计了基于优势基因结构进化的微进化算法对模型进行求解,该算法能够有效地适应环境的不确定性,更好地求解物联网平台下的动态资源调度问题。5.最后以西安新筑铁路物流中心为案例背景,对本文构建的基于物联网的装卸调度模型及算法进行了验证,为物联网环境下铁路物流中心的装卸资源调度提供了有价值的参考。
[Abstract]:In recent years, the boom of sharing economy has brought new development ideas for the logistics industry of our country. A large number of logistics information sharing platform was born, and the wide application of Internet of things technology brought new development vitality to the improvement of intelligence level of information sharing platform. Against the backdrop of effectiveness. Railway freight transport needs to follow the trend of reform and innovation, learn from each other, broaden management ideas, establish long-term and effective cooperative relationship with social logistics enterprises or individuals, and use social logistics resources to improve the terminal transport network. The real realization of door-to-door transportation. A good cooperative relationship depends on effective trust mechanism and good service quality, which reflects that the cargo card driver arrives at the designated place on time in the process of transportation. And in the expected time to complete cargo loading and unloading operations, which put forward a higher demand for the internal loading and unloading resource scheduling in the railway logistics center. This paper takes the Internet of things technology and the application of logistics information sharing platform as the background. The theory of modern mathematical method and systematization is introduced into the optimization research of loading and unloading resources scheduling in railway logistics center. The main research contents include the following parts: 1. The application of Internet of things technology in railway logistics center and the significance of logistics information sharing platform are introduced in detail. This paper points out the goal of constructing railway logistics information sharing platform based on the Internet of things. It clarifies the concept of modern railway logistics center, analyzes the characteristics of modern railway logistics center and the future development trend. Taking the container function area as an example, the paper elaborates its overall layout, operation process and resource classification. 3. Take the railway logistics center as the starting point to move towards the market. Considering the satisfaction of external card drivers and the efficiency of loading and unloading resources in the railway logistics center, the container function area is selected as the research object. The minimum average delay time of the external card and the minimum maximum operating time of the track gantry crane are the targets, taking the train arrival and departure time as the target. The time window of container operation task is set up according to the information such as entry time and expected departure time, and the constraints such as safe working distance of gantry crane and not crossing each other between portal cranes are taken into account. A multi-objective optimization model of loading and unloading resource scheduling based on the Internet of things platform is established. A micro-evolutionary algorithm based on the evolution of dominant gene structure is designed to solve the model. The algorithm can effectively adapt to the uncertainty of the environment, better solve the dynamic resource scheduling problem under the Internet of things platform. Finally, taking Xi'an new railway logistics center as the case background. The model and algorithm of loading and unloading scheduling based on the Internet of things are verified in this paper, which provides a valuable reference for the dispatching of loading and unloading resources of railway logistics center under the environment of the Internet of things.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U291.5

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