【摘要】 腐蚀是威胁材料服役安全与使用寿命的核心因素。腐蚀数据具备多源异构、时间长、跨尺度、非线性等复杂特征。针对这些特性，腐蚀大数据技术通过融合各类传感器技术和建立多维智能关联数据库等方法，对材料腐蚀大数据进行挖掘建模与可视化，最终实现共享服务平台建设和在工程中的应用。在智慧工程应用场景中，腐蚀大数据技术实现3大核心功能：一是通过实时监测技术对桥梁钢结构、油气输送管网等关键设施的腐蚀状态进行动态追踪，结合多源异构腐蚀数据高通量采集即时捕捉腐蚀速率、环境参数对腐蚀大数据进行系统收集；二是通过多源数据挖掘技术，解析腐蚀数据与环境因子、运行工况的耦合规律，支撑防腐策略的动态优化；三是基于神经网络等人工智能模型，结合历史积累数据与机器学习算法，实现了对材料的剩余服役寿命的精准预测，为工程安全运维提供量化依据。此外，腐蚀大数据通过与数字孪生结合，通过构建腐蚀演化的三维虚拟模型，实现了工程结构健康状态的可视化预警与维护资源的智能调度，实现了腐蚀大数据共享与物联网平台的共同建设，最终推动传统防腐向“受击—诊断—决策—执行”的闭环管理升级。腐蚀大数据技术不仅推动了传统防腐技术向智能化、精准化转型，更成为智慧工程安全运维体系的核心支撑，在海洋工程、能源互联网等领域展现出广阔的应用前景。更多还原

【Abstract】 This paper reviews corrosion big data technology and its applications in the intelligent engineering, in systematically.Corrosion serves as an essential factor, which threatening the service safety and service life of engineering materials. Corrosion data exhibits complicated characteristics, such as multi-source heterogeneity, long duration, cross-scale, and non-linearity. These characteristics, corrosion big data technology integrate various sensor technologies and establishing multi-dimensional intelligent correlation databases, which can support the mining and visualizing of material corrosion big data to achieving the construction of corrosion big data sharing platform and engineering applications services. In intelligent engineering applications, corrosion big data technology possesses three core functions. First, real-time monitoring technologies had been applied on recording the corrosion status of facilities such as bridge steel structures and oil-gas transmission pipeline sin dynamically, combined with high-throughput collection of multi-source heterogeneous corrosion data, to instantly record corrosion rates and environmental parameters for systematic data gathering; Analyzing the coupling laws between corrosion data, environmental factors, and operational conditions through multi-source data mining technology to support dynamic optimization of anti-corrosion strategies; Achieving precise prediction of the service life of engineering, based on artificial intelligence models(e.g., neural networks), combined with accumulated corrosion big data and machine learning algorithms, providing quantitative basis for engineering safety operation and maintenance. Furthermore, by integrating with digital twin technology, corrosion big data constructs a 3D virtual model of corrosion process to achieve visual warning of engineering maintenance status. The joint construction of corrosion big data sharing platforms is promoted and advancing the traditional anti-corrosion technology towards to closed-loop management system, "perception-diagnosis-decision-execution". Corrosion big data technology supports and promotes the intelligent and precise transformation of traditional anti-corrosion technologies, and support the safety operation and maintenance system of smart engineering, demonstrating broad application prospects in fields such as marine engineering and energy internet.更多还原