编组站接发列车作业语音写实系统设计  

Design of Train Operation Voice Realism System for Marshalling Station

作　　者：何迟[1] 朱帅[1] 崔炳谋[1] 

机构地区：[1]兰州交通大学交通运输学院,甘肃兰州730070

出　　处：《铁道货运》2016年第12期41-44,共4页Railway Freight Transport

基　　金：国家重点研发计划课题(2016YFB1200105)

摘　　要：标准化接发列车作业程序是编组站保证行车安全的重要手段,但在执行过程中存在作业环节疏漏的可能性,危及行车安全。为此,提出利用计算机语音识别技术保证作业标准得到准确执行,实现对各个作业环节的卡控。在分析编组站接发列车作业语音写实系统需求的基础上,进行系统设计,其中系统架构由功能应用层、功能支撑层、数据支撑层组成;系统功能由数据管理、语音识别、作业过程卡控和查询统计4个模块组成。系统在兰州北站应用后保证了接发列车作业的准确性,减少了作业环节遗漏的情况,提高了车站安全生产水平。It is an important means to ensure traffic safety of marshalling station by standardized operation procedure of train, but there are possibilities of omissions in the course of execution, which endanger traffic safety. To this end, this paper proposes the use of computer speech recognition technology to ensure accurate implementation of job standards, and thus to achieve the control of operations in various parts. The system is designed based on the demand analysis of marshalling station to the voice realism system. The system architecture is composed of function application layer, functional support layer and data support layer; and the system function consists of four modules including data management, voice recognition, operation process control and query statistics. This system applied in Lanzhou North Station has ensured the accuracy of receiving and dispatching trains, reduced the missing parts of the operation, and improved the safety level of the station.

关 键 词：接发列车 Levenshtein算法 相似度 

分 类 号：TP399[自动化与计算机技术—计算机应用技术] U292.12[自动化与计算机技术—计算机科学与技术]