首页|GYK运行记录智能分析系统研究

GYK运行记录智能分析系统研究

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针对目前GYK运行记录分析主要采用人工分析和统计方式,存在误看、漏看等人为差错,以及日渐增加的轨道车需要投入大量人力等问题,探索性地开展了GYK运行记录智能分析系统的研究.该系统由浏览器用户终端和服务平台组成,采用B/S架构,基于J2EE技术框架开发,综合运用K-means聚类算法、Apriori算法等,对GYK运行记录中的关键项点进行智能分析,并自动给出分析结论,可提高GYK运行记录数据分析的工作效率,及时发现违章行为,促进标准化作业,进而加强对轨道车的安全运用管理.该系统已通过国铁集团技术评审,能够满足GYK运行记录智能分析工作的需要.
Research on Intelligent Analysis System for GYK's Operation Records
At present,the analysis and statistics of GYK's operation records mainly conducted manually,and there are human errors such as misreading and missing reading and more manpower is required due to the increasing number of rail cars.Therefore,a research on the intelligent GYK operation records analysis system is explored.The system is composed of a browser user terminal and a server and adopts B/S application architecture and its software is developed using J2EE framework.Algorithms including K-means and Apriori are used for intelligent analysis of the key items in GYK operation records and analysis conclusions can be automatically given,which can improve the efficiency of GYK operation record analysis and is conducive to detect violations of rail car operation timely and promote standardized operations,so as to strengthen the safe operation management of rail cars.The technical appraisal of the system have been completed by the technical management department of China Railway Group and it can meet the requirements of intelligent analysis of GYK operation records.

GYKOperation recordIntelligent analysisK-means clustering algorithmApriori algorithmStandardized operation

杨云、李辉、戴博、徐亮

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中国国家铁路集团有限公司工电部 100844 北京

中国铁道科学研究院集团有限公司通信信号研究所 100081 北京

北京华铁信息技术有限公司 100081 北京

高新兴创联科技股份有限公司 310013 杭州

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轨道车运行控制设备 运行记录 智能分析 K-means聚类算法 Apriori算法 标准化作业

2025

铁道通信信号
中国铁道科学研究院

铁道通信信号

影响因子:0.268
ISSN:1000-7458
年,卷(期):2025.61(1)