港口散货汽车作业物联网流程设计与挖掘研究

发布时间：2018-06-16 10:10

本文选题：物联网 + 港口企业　；参考：《北京交通大学》2014年硕士论文

【摘要】：作为水陆运输的枢纽,物流配置、资源分配的中心,散杂货港口已经成为综合运输链中的最主要环节。作为陆地上最重要的运输工具,汽车作业在现代物流供应产业链中的作用不言而喻,如何高效快速地实现港口作业智能化,提高企业效率,成为港口企业首要解决的问题。作为第三代技术革命的产物,物联网的概念迅速普及,其相关技术日益成熟,将物联网技术应用到港口信息化建设,为提高港口智能化水平提供了新的思路。但是,目前物联网技术在港口的应用主要集中在集装箱运输作业,在散杂货运输业务中应用较少。因此,抓住物联网技术高速发展这一契机,提高港口智能化水平,加快信息化建设已经成为散杂货港口提高作业效率的重要任务之—。业务流程建模的方式有很多种,流程挖掘就是其中较为有效的一种,不同于传统的建模方式,流程挖掘抽取系统日工的日志信息,挖掘业务流程的真实运作模型,并应用相应算法对模型进行定性、定量分析,以便分析者从流程真实运作情况中得到有用的信息。该建模方法避免了传统建模方式的主观因素,使模型能够客观并精确地显示作业过程。本文在企业流程改造、物联网技术、流程挖掘建模等相关理论的基础上做了一下研究：第,对散杂货港口汽车作业流程现状进行分析,指出现存弊端；第二,将物联网技术融入到港口汽车作业流程中,改造流程,进行企业流程再造；第三,应用流程挖掘技术,提取改造前后作业数据,应用流程挖掘技术建立模型,并对改造前后的模型进行分析说明,得出分析报告,验证改造效果。
[Abstract]:As the hub of land and water transportation, the center of logistics allocation and resource distribution, the bulk cargo port has become the most important link in the integrated transportation chain. As the most important means of transportation on land, the role of automobile operation in modern logistics supply industry chain is self-evident. How to efficiently and quickly realize the intelligence of port operations and improve the efficiency of enterprises has become the first problem solved by port enterprises. As the product of the third generation technology revolution, the concept of Internet of things is popularizing rapidly, and its related technology is maturing day by day. The application of Internet of things technology to the construction of port information provides a new way of thinking for improving the level of port intelligence. However, at present, the application of Internet of things technology in the port is mainly concentrated in container transportation, but less in bulk cargo transportation. Therefore, seizing the opportunity of rapid development of Internet of things technology, improving the intelligence level of ports and speeding up the construction of information technology has become an important task to improve the operational efficiency of bulk cargo ports. There are many ways of business process modeling, process mining is one of the more effective, different from the traditional modeling, process mining extraction system daily log information, mining the real operation model of business processes. The qualitative and quantitative analysis of the model is carried out by using the corresponding algorithm, so that the analysts can get useful information from the actual operation of the process. This modeling method avoids the subjective factors of the traditional modeling method and enables the model to display the operation process objectively and accurately. On the basis of enterprise process transformation, Internet of things technology, process mining modeling and other related theories, this paper does a little research: first, analyze the current situation of vehicle operation process in bulk port, point out the existing drawbacks; second, The Internet of things technology will be integrated into the port vehicle operation process, the transformation of the process, business process reengineering; third, the application of process mining technology, extraction of pre-and post-transformation data, the application of process mining technology to establish a model, The model before and after the transformation is analyzed and explained, and the analysis report is obtained to verify the effect of the transformation.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U691.1

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