NEWS
工程数智化落地铁路轨道建设 五级管控平台实现铺设精度智能管控Digital-intelligent engineering lands in railway track construction: five-level control platform enables intelligent control of track slab laying precision
2026年9月16日September 16, 2026
工程数智化在铁路轨道建设领域取得实质性进展。随着数字化、信息化、智能化三阶段路径的深入推进，一套覆盖全生命周期的五级信息管控平台已经建成，轨道板制造全过程追踪和铺设精度智能管控得以实现。这标志着工程数智化作为工程全生命周期数字化与智能化融合范式，开始在具体工程场景中展现出对设计、施工、运维全流程的驱动能力。
工程数智化并非单一技术应用，而是以BIM建模、物联网、大数据等技术为核心，构建起面向工程全生命周期的数字底座。这一数字底座将工程建设从传统的经验驱动转向数据驱动，使设计阶段的三维协同、施工阶段的实时感知、运维阶段的智能决策成为可能。在铁路轨道工程中，该模式通过标准化数据接口和统一信息模型，打通了各个业务环节之间的数据孤岛。
在实施路径上，铁路轨道工程按照数字化、信息化、智能化三个阶段有序推进。数字化阶段重点完成工程对象和作业流程的数字化表达，信息化阶段实现关键数据的采集、传输与集成，智能化阶段则依托算法和模型对施工精度、质量风险进行自动研判和优化。三个阶段层层递进，为五级信息管控平台的构建奠定了坚实基础。
五级信息管控平台是工程数智化在铁路轨道工程中的核心载体。该平台覆盖从基层作业点到项目管理层的多级管控层级，能够对轨道板制造全过程进行追踪。从原材料进场、生产工序、质量检测到出厂运输，每一块轨道板的关键信息都被实时记录并关联至数字模型，实现了来源可查、去向可追、责任可究的闭环管理。
在铺设环节，平台结合高精度定位和传感技术，对轨道板的铺设位置、高程、平面偏差等参数进行智能管控。系统能够自动比对设计值与实测值，对超出允许范围的偏差即时预警，并辅助现场人员进行调整。这一方式显著减少了人工测量误差，提升了轨道铺设的精度和效率，为后续线路稳定运行提供了可靠保障。
从行业视角看，工程数智化在铁路轨道工程中的落地，不仅验证了数字化与智能化融合范式的可行性，也为同类基础设施建设提供了可复用的技术路径。五级信息管控平台和全过程追踪机制的成熟应用，将有助于推动工程建设从粗放式管理向精细化、智能化管理转型，降低全生命周期成本，提升工程质量安全水平。
随着BIM、物联网、大数据等技术在工程领域的持续渗透，工程数智化有望在更多专业工程中得到推广。数字底座所积累的数据资产，未来还将在运维阶段发挥更大价值，支持预测性维护和智能调度。这一趋势正在重塑工程建设的组织方式和管理模式，为基础设施高质量发展注入新的动力。
Digital-intelligent engineering has made substantive progress in the field of railway track construction. With the deepening of the three-stage path of digitalization, informatization, and intelligentization, a five-level information management and control platform covering the entire life cycle has been completed, enabling whole-process tracking of track slab manufacturing and intelligent control of laying precision. This marks that digital-intelligent engineering, as a paradigm of integrating digitalization and intelligentization across the entire engineering life cycle, has begun to demonstrate its ability to drive the full processes of design, construction, and operation and maintenance in specific engineering scenarios.
Digital-intelligent engineering is not the application of a single technology. Instead, it centers on BIM modeling, the Internet of Things, big data, and other technologies to build a digital foundation for the entire engineering life cycle. This digital foundation shifts engineering construction from traditional experience-driven approaches to data-driven approaches, making possible three-dimensional collaboration in the design stage, real-time perception in the construction stage, and intelligent decision-making in the operation and maintenance stage. In railway track engineering, this model uses standardized data interfaces and a unified information model to break down data silos among various business links.
In terms of implementation, railway track engineering is advanced in an orderly manner through three stages: digitalization, informatization, and intelligentization. The digitalization stage focuses on the digital representation of engineering objects and work processes; the informatization stage realizes the collection, transmission, and integration of key data; and the intelligentization stage relies on algorithms and models to automatically assess and optimize construction precision and quality risks. These three stages progress step by step, laying a solid foundation for the construction of the five-level information management and control platform.
The five-level information management and control platform is the core carrier of digital-intelligent engineering in railway track engineering. The platform covers multiple levels of management and control, from frontline work sites to project management, and is capable of tracking the entire manufacturing process of track slabs. From raw material entry, production processes, and quality inspection to factory shipment and transportation, the key information of each track slab is recorded in real time and associated with the digital model, achieving closed-loop management in which sources can be checked, destinations can be traced, and responsibilities can be investigated.
In the laying phase, the platform combines high-precision positioning and sensing technologies to intelligently control parameters such as the laying position, elevation, and plane deviation of track slabs. The system can automatically compare design values with measured values, issue immediate warnings for deviations beyond the allowable range, and assist on-site personnel in making adjustments. This approach significantly reduces manual measurement errors, improves the precision and efficiency of track laying, and provides reliable assurance for the subsequent stable operation of the line.
From an industry perspective, the implementation of digital-intelligent engineering in railway track engineering not only verifies the feasibility of the digital-intelligent integration paradigm, but also provides a reusable technical path for similar infrastructure construction. The mature application of the five-level information management and control platform and the whole-process tracking mechanism will help promote the transformation of engineering construction from extensive management to refined and intelligent management, reduce life-cycle costs, and improve engineering quality and safety.
As BIM, the Internet of Things, big data, and other technologies continue to penetrate the engineering field, digital-intelligent engineering is expected to be promoted in more specialized engineering projects. The data assets accumulated by the digital foundation will also play greater value in the operation and maintenance stage in the future, supporting predictive maintenance and intelligent scheduling. This trend is reshaping the organizational methods and management models of engineering construction, injecting new momentum into the high-quality development of infrastructure.