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1. 石家庄铁道大学信息科学与技术学院,河北 石家庄 050043
2. 河北省电磁环境效应与信息处理重点实验室,河北 石家庄 050043
[ "杨亮(1994- ),男,石家庄铁道大学信息科学与技术学院硕士生,主要从事大数据、区块链技术及其应用研究工作" ]
[ "朴春慧(1964- ),女,石家庄铁道大学信息科学与技术学院教授、硕士生导师,主要从事信息管理与信息系统、数据安全与隐私保护等方面的研究工作" ]
[ "刘玉红(1974- ),男,石家庄铁道大学信息科学与技术学院副教授,中国铁路集团信息化委员会委员,主要从事结构安全监测、施工监测等方面的研究工作" ]
[ "冀梅梅(1996- ),女,石家庄铁道大学信息科学与技术学院硕士生,主要从事大数据技术及其应用研究工作" ]
网络出版日期:2020-06,
纸质出版日期:2020-06-20
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杨亮, 朴春慧, 刘玉红, 等. 基于边缘计算的铁路施工项目安全监管数据共享研究[J]. 电信科学, 2020,36(6):70-78.
Liang YANG, Chunhui PIAO, Yuhong LIU, et al. Research on safety supervision data sharing of railway construction projects based on edge computing[J]. Telecommunications science, 2020, 36(6): 70-78.
杨亮, 朴春慧, 刘玉红, 等. 基于边缘计算的铁路施工项目安全监管数据共享研究[J]. 电信科学, 2020,36(6):70-78. DOI: 10.11959/j.issn.1000-0801.2020172.
Liang YANG, Chunhui PIAO, Yuhong LIU, et al. Research on safety supervision data sharing of railway construction projects based on edge computing[J]. Telecommunications science, 2020, 36(6): 70-78. DOI: 10.11959/j.issn.1000-0801.2020172.
信息化安全监测系统在铁路施工项目中应用广泛,但现有的安全监管模式存在服务器负载高、网络带宽压力大、监测数据不能有效共享、关键监测数据可能被篡改、安全事故责任难以确定等问题。提出了基于边缘计算的铁路施工项目安全监管数据可信共享模式:一方面,构建了施工项目安全监测边缘计算框架,描述了边缘节点数据处理流程;另一方面,建立了基于区块链的数据可信共享框架,设计了安全监管数据共享流程,通过智能合约实现数据可信共享。本文提出的解决方案融合运用边缘计算技术和区块链技术,不仅能够加强行业主管部门对于铁路施工项目的安全监管,还为利益相关方实时共享安全监测数据、提高施工项目安全管理水平提供了新的思路。
Information security monitoring system is widely used in railway construction projects
but the existing safety supervision model has problems such as high server load
heavy network bandwidth pressure
monitoring data can’t be effectively shared
key monitoring data may be tampered
and security accident responsibility is difficult to determine.A credible sharing model of safety supervision data for railway construction projects based on edge computing was proposed.On one hand
the construction of a safety monitoring edge computing framework for construction projects was constructed
and the data processing flow of edge nodes was described; on the other hand
a trusted data sharing framework based on blockchain was established
and a safety supervision data sharing process was designed and trusted sharing data was implemented through smart contracts.The proposed solution combined with edge computing and blockchain technology
which not only could strengthen the safety supervision of railway construction projects by industry authorities
but also provide new opportunities for stakeholders to share safety monitoring data in real time.
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