Effectively integrating and correlating multisource data involved in the bridge construction process is crucial for the improvement of the bridge informatization level. In the current issues of dynamic numerous data and low information sharing between different engineering departments, the traditional information management methods are inefficient in providing comprehensive and accurate data support for construction safety. Focusing on the bridge construction stage, this article proposes a dynamic data-driven construction method of railway bridge construction knowledge graph (KG) in combination with dynamic data (materials, personnel, equipment and sensors) in the construction process and KG technology. By taking a railway bridge as a case, the study develops a prototype system and analyzes the effectiveness of bridge construction KG in material traceability, personnel and equipment management and construction safety guidance, which can provide comprehensive and accurate data support for bridge construction management and construction optimization. The results show that: (1) bridge construction KG that takes into account the dynamic features of bridge projects can effectively integrate multiple elements; (2) the bridge construction KG is dynamically updated through real-time comparison and advance prediction based on the dynamic data collected by multi-sensing equipment at the construction site, and can provide effective data support for guiding bridge construction safety; and (3) the construction management prototype system based on railway bridge construction KG can provide accurate data support for material traceability, personnel and equipment management and assisted risk event decision-making. The results of the comparative experiment between the KG group and the spreadsheet group showed that utilizing the KG saved approximately 50% of time and achieved a 20% higher accuracy rate in the material traceability task compared to the spreadsheet group. In general, this study proposes a dynamic data-driven construction method of railway bridge construction KG, which can effectively realize the effective integration and management of multisource data in the bridge construction process, provide the necessary scientific basis for fine bridge management, and help to improve bridge informatization management level.

中文翻译：

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动态数据驱动的铁路桥梁施工知识图谱更新方法

有效整合和关联桥梁施工过程中涉及的多源数据对于提高桥梁信息化水平至关重要。针对当前不同工程部门之间数据动态庞大、信息共享程度低的问题，传统的信息管理方法无法有效地为施工安全提供全面、准确的数据支撑。本文针对桥梁施工阶段，结合施工过程中的动态数据（材料、人员、设备、传感器）和KG技术，提出一种动态数据驱动的铁路桥梁施工知识图谱（KG）施工方法。研究以某铁路桥梁为例，开发原型系统，分析桥梁施工KG在材料追溯、人员设备管理、施工安全指导等方面的有效性，可为桥梁施工管理和施工提供全面、准确的数据支撑。优化。研究结果表明：（1）考虑桥梁工程动力特征的桥梁施工知识图谱能够有效整合多要素；（2）根据施工现场多传感设备采集的动态数据，通过实时比对和超前预测，动态更新桥梁施工KG，可以为指导桥梁施工安全提供有效的数据支撑；(3)基于铁路桥梁施工知识图谱的施工管理原型系统，可为物资追溯、人员设备管理、辅助风险事件决策提供准确的数据支撑。知识图谱组与电子表格组的对比实验结果表明，与电子表格组相比，利用知识图谱组在物料追溯任务中节省了约50%的时间，准确率提高了20%。总体而言，本研究提出了一种铁路桥梁施工KG的动态数据驱动施工方法，能够有效实现桥梁施工过程中多源数据的有效整合和管理，为桥梁精细化管理提供必要的科学依据，有助于提高桥梁信息化管理水平。