| 基于大数据的公路隧道养护决策 |
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| 引用本文： | 胡珉, 张明正, 施永泉, 喻钢. 基于大数据的公路隧道养护决策[J]. 土木建筑工程信息技术,2016, 8(1): 48-52.doi: 10.16670/j.cnki.cn11-5823/tu.2016.01.08 |
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| 作者姓名： | 胡珉 张明正 施永泉 喻钢 |
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| 作者单位： | 1.上海大学悉尼工商学院，上海 201400; 2.上海大学上海大学-上海城建建筑产业化研究中心上海，上海 200072; 3.上海大学土木工程系，上海 200072; 1.上海隧道工程股份有限公司，上海 200232 |
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| 基金项目： | 上海市科委重点项目“大数据专项-面向桥隧时空数据的信息融合和挖掘关键技术研究”13511504803上海市国资委重大科研项目“智慧城市交通基础设施全寿命周期管理支持体系研究”2014008上海市科委重点项目“大数据专项-面向桥隧时空数据的信息融合和挖掘关键技术研究”(编号：13511504803)；上海市国资委重大科研项目“智慧城市交通基础设施全寿命周期管理支持体系研究”(编号：2014008) |
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| 摘 要： | 为了解决公路隧道设施众多及信息异构分散等特点对公路隧道养护决策带来的困难，本文在对公路隧道养护特点分析的基础上，进行了从隧道全生命周期信息出发，利用大数据分析对隧道养护评估和优化进行了研究。文章围绕全生命周期养护评估方法和优化决策，描述了全生命周期信息评估决策的基本原理和实现路径，并根据评估结果进行了有约束条件下的养护策略选择。最后，文章对该方法的创新点和应用效果进行了总结，并指出了未来隧道养护评估的发展趋势。
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| 关 键 词： | 公路运输 运维 决策支持系统 公路隧道 全生命周期 建筑信息模型 |
Research on Tunnel Operation and Maintenance Decision Support System based on Big Data |
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| Hu Min,Zhang Mingzheng,Shi Yongquan,Yu Gang. Research on Tunnel Operation and Maintenance Decision Support System based on Big Data[J]. Journal of Information Technology in Civil Engineering and Architecture, 2016, 8(1): 48-52. DOI: 10.16670/j.cnki.cn11-5823/tu.2016.01.08 |
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| Authors: | Hu Min Zhang Mingzheng Shi Yongquan Yu Gang |
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| Affiliation: | 1.SILC Business School, Shanghai University, Shanghai 201400, China; 2.SHU-SUCG Research Center of Building Industrialization, Shanghai University, Shanghai 200072, China; 3.Civil Engineering Department, Shanghai University, Shanghai 200072, China; 1.Shanghai Tunnel Engineering Co., Ltd., Shanghai 200232, China |
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| Abstract: | In order to solve the the problems caused by diversifed information in the highway tunnel, this article analyzes the characteristics of highway tunnel and uses big data analysis and assessment of BIM technology to study the tunnel maintenance and optimization. Based on the evaluation of the whole life cycle maintenance and optimization decision method, the article describes the basic principle of whole life cycle information evaluation decision and implementation path, and makes strategic choices according to the evaluation results. Finally, innovation points and application effects of this method are summarized, and the future development trend of the tunnel maintenance evaluation is pointed out. |
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| Keywords: | Highway Transportation Operation and Maintenance Decision Support System Road Tunnel Life Cycle Building Information Modeling |
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