摘要
建筑信息模型(BIM)技术对提高轨道运维管理效率具有重要的推进作用。然而,不同的检查和维护活动产生的数据异构性高、时空关系复杂,阻碍了BIM解释和整合数据的进程。为此,开发了一个基于工业基础类(IFC)和语义Web技术的轨道运维本体(TOMO),其具有3个功能:①基于轨道运维生命周期的应用需求,简化BIM模型信息;②引入映射规则,建立数据提取与转换模块,集成多源异构数据,结构化定义数据之间复杂的时空关系;③结合数据驱动技术,研究轨道精调智能优化的方法,提供弹性决策支持。最后,以某高速铁路静检数据为例,验证了该框架的有效性与实用性,对于促进领域数据互操作性、降低运维人员劳动强度和提高运维管理智能化程度具有实际的工程指导意义。
The building information modeling(BIM)technology plays a crucial role in enhancing the efficiency of railway operation and maintenance management.However,the heterogeneity of data generated from various inspection and maintenance activities,coupled with the complex spatiotemporal relationships,hinder the process of BIM data interpretation and integration.To address this challenge,a railway maintenance ontology(TOMO)based on the industry foundation classes(IFC)and semantic Web technology was developed.TOMO served three main functions:①Simplifying BIM model information based on railway maintenance lifecycle requirements.②Introducing mapping rules and establishing data extraction and transformation modules to integrate heterogeneous data from multiple sources,structurally defining complex spatiotemporal relationships between data.③Combining data-driven techniques to study intelligent optimization methods for railway fine-tuning,providing flexible decision support.Finally,using static inspection data from a high-speed railway as an example,the effectiveness and practicality of this framework were verified.This framework held practical engineering significance in promoting data interoperability in the field,reducing the labor intensity of maintenance personnel,and enhancing the intelligence of maintenance management.
作者
何庆
荆传玉
孙华坤
姚力
徐井芒
王平
HE Qing;JING Chuanyu;SUN Huakun;YAO Li;XU Jingmang;WANG Ping(Southwest Jiaotong University,Key Laboratory of High-speed Railway Engineering,Chengdu Sichuan 610031,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu Sichuan 610031,China;China Railway Eryuan Engineering Group CO.,LTD.,Chengdu Sichuan 610031,China)
出处
《图学学报》
CSCD
北大核心
2024年第3期601-612,共12页
Journal of Graphics
基金
国家自然科学基金高铁联合基金重点项目(U1934214),国家自然科学基金面上项目(52372400),四川省自然科学基金创新研究群体项目(2023NSFSC1975),山东省交通厅科技项目(2022B30)。
关键词
建筑信息模型
运维管理
语义WEB技术
数据驱动
弹性决策
building information modeling
operation and maintenance management
semantic web technology
data-driven
flexible decision
