| 客票电子支付数据审核系统的研究 |
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| 引用本文： | 梅巧玲,李天翼,冯焱.客票电子支付数据审核系统的研究[J].铁路计算机应用,2019,28(8):22. |
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| 作者姓名： | 梅巧玲 李天翼 冯焱 |
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| 作者单位： | 中国铁道科学研究院集团有限公司 电子计算技术研究所, 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项目(2017X010-C) |
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| 摘 要： | 根据铁路客票电子支付业务量及复杂度,在Hadoop技术与分布式内存数据库技术相结合的基础上,提出基于规则引擎的电子支付数据审核体系,在旅客出现重复支付、支付后未出票、银行退款失败等问题时给予强有力的安全保障。通过系统测试,该数据审核机制具备提高铁路客票电子支付环节处理业务的能力,为提升旅客良好的购票体验提供了技术支持。
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| 关 键 词： | 数据审核 规则引擎 分布式内存数据库 Hadoop |
| 收稿时间： | 2019-03-13 |
Electronic payment data audit system for railway ticketing and reservation system |
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| Institution: | Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China |
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| Abstract: | According to the volume and complexity of electronic payment for railway ticketing and reservation system, based on the combination of Hadoop technology and distributed memory database technology, this article proposed an electronic payment data audit system based on rule engine, which could provide strong security guarantee for passengers' duplicate payment, non-payment after payment, bank refund failure and so on. Through the system test, the data audit mechanism has the ability to improve the processing business of railway ticket electronic payment link, and provides technical support for improving passengers' good ticket-buying experience. |
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