Distributed Management Method for Geographic and Geological Knowledge Base for Railway Digital Twin
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摘要:
高效的铁路工程地理地质知识服务是支撑数字孪生铁路多尺度多专业智能应用的重要基础. 为提高数字孪生铁路 “区域-工程-施工面”多尺度应用中的查询检索完整性和协同耦合分析能力，构建地理地质知识动态分布的元网络模型，设计以铁路多专业用户、业务部门、知识关联关系、多尺度应用场景为节点的知识库分布网络体系；实现分布优化的元网络打击算法，基于度中心度指标计算节点重要性，通过扰动分布关系网络分析分布影响力，计算节点的影响范围并得到知识库的分布优化结构；以某铁路特大桥工程的数字孪生铁路知识库管理及应用为实验场景，采用本文方法对已有知识库分布结构进行优化. 实验结果表明，在处理工程尺度和区域尺度的知识检索任务时，分布优化方法提高了查询检索结果的数量，缩短了查询检索时间，并提高了结果的匹配度.
Abstract:Efficient geographic and geological knowledge services for railway engineering form a crucial foundation for supporting the multi-scale and multi-disciplinary intelligent applications of digital twin technology in railways. To improve the completeness of query results and enhance the capability for integrated analysis across the multi-scale “region–engineering project–construction site” applications of railway digital twins, a meta-network model for the dynamic distribution of geographic and geological knowledge was proposed. This model was designed as a distributed knowledge base network system, with railway agents, business departments, knowledge relationships, and multi-scale application scenarios as key nodes. A meta-network disruption algorithm for distribution optimization was implemented, with node importance assessed using degree centrality indicators. By analyzing the distribution influence through network perturbation, the influence range of nodes was calculated, obtaining the optimized distribution structure of the knowledge base. To validate this approach, it was applied to optimize the distribution of the knowledge base within the knowledge base management and application scenario for railway digital twins of a major railway bridge project. Experimental results show that, when processing knowledge retrieval tasks at the engineering and regional scales, the distribution optimization method increases the number of query results with reduced retrieval time and enhanced result matching accuracy.
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图 2 铁路地理地质知识分布特点
Figure 2. Distribution characteristics of geographic and geological knowledge of railway
图 10 原型系统中展示分布优化前后检索结果展示
Figure 10. Display of retrieval results before and after distribution optimization in prototype system
表 1 元网络节点的要素及代码
Table 1. Meta-network node elements and codes
要素 分类 内容及代码 用户
Agent业主人员 业主代表A01、项目经理A02、安全管理员A03 施工人员 项目经理A04、工程师A05、施工员A06 设计人员 项目经理A07、设计师A08、制图员A09 勘察人员 项目经理A10、勘察工程师A11 科研人员 教职工A12、研究生A13 单位
Organization业主单位 国铁集团O01、工程局O02、大桥局O03 施工单位 总承包商O04、桥梁公司O05、通信公司O06 其他单位 勘察设计单位O07、科研单位O08 应用场景
Event施工面尺度 表面形变E01、桩基钻孔E02、箱梁浇筑E03、护栏浇筑E04 工程尺度 桥面施工E05、隧道锚施工E06、重力锚施工E07、桥台施工E08 区域尺度 地质环境E09、灾害防控E10、污染治理E11 知识类型
Knowledge专家经验知识K01、领域知识图谱K02、工程实践知识K03、科研成果K04 知识关联
Relation空间关系 同义关系R01、上下位关系R02、更新关系R03 远R04、中R05、近R06、相同R07 
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表 2 优化前后多尺度检索性能表
Table 2. Multi-scale retrieval performance before and after optimization
任务内容 检索数目 检索时间 结果匹配度 优化前 优化后 优化前 优化后 优化前 优化后 施工面1 少 中 快 快 高 高 施工面2 少 中 快 快 高 高 施工面3 中 中 中 快 高 高 工程1 中 多 中 中 高 高 工程2 中 多 中 中 高 高 工程3 多 多 慢 中 中 高 区域1 中 多 中 中 中 高 区域2 多 多 慢 中 中 高 区域3 多 多 慢 中 中 高
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