| 基于大数据的铁路安全信息与技术规章协同分析系统 |
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| 引用本文： | 刘新,吕峰,孙玉明,李福顺.基于大数据的铁路安全信息与技术规章协同分析系统[J].铁路计算机应用,2020,29(2):34-37. |
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| 作者姓名： | 刘新 吕峰 孙玉明 李福顺 |
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| 作者单位： | 1. 中国铁道科学研究院集团有限公司 运输及经济研究所, 北京 100081; |
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| 基金项目： | 中国铁路总公司科技研究开发计划课题(N2018B004，P2018Z001)；中国铁道科学研究院集团有限公司科研项目(2018YJ156) |
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| 摘 要： | 有铁路交通事故发生时,对事故原因进行分析是事故调查过程中的一项重要工作。为解决目前事故分析手段智能化不足的问题,在对铁路事故大数据进行分析的基础上,提出铁路安全信息与技术规章协同分析系统设计方案,利用自然语言处理技术中的中文分词、全文检索等方法和工具,建立事故概况与技术规章条款之间的关联关系,进而提高事故原因分析的准确性和智能化程度。模拟数据测试结果表明,据此开发的系统能够很大程度上减轻事故分析人员的工作强度,具有较好的应用推广前景。
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| 关 键 词： | 智能检索 技术路线 全文检索 安监报 铁路交通事故 |
| 收稿时间： | 2019-09-27 |
Collaborative analysis system of railway safety information and technical regulations based on big data |
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| Institution: | 1. Transport and Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;2. Safety Supervision&Management Bureau, China Railway, Beijing 100844, China;3. Department of Science and Technology and Information Technology, China Railway, Beijing 100844, China;4. Depot of Fengtai Locomotive, China Railway Beijing Group Co. Ltd., Beijing 100070, China |
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| Abstract: | When there is a railway accident, analysis of the cause of the accident is an important work in the process of accident investigation.In order to solve the problem of lack of intelligence in accident analysis methods at present, based on the parsing of railway accident big data, a design scheme of collaborative analysis system of railway safety information and technical regulations was proposed. The method and tools of Chinese word segmentation and full-text retrieval in natural language processing technology were used to establish the correlation between accident profile and technical regulations, thus improve the accuracy and intelligence of accident cause analysis.The test results of simulation data show that the developed system can reduce the work intensity of accident analysts to a large extent, and has a good prospect of application and promotion. |
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