该方向依托大数据分析技术与人工智能算法（如深度学习、机器学习），研发基础设施损伤智能诊断模型与安全评估体系，实现从“数据驱动”到“诊断决策”的转化，高效完成基础设施损伤识别、风险分级及安全状态量化评估。

Big Data Diagnosis and Evaluation

  Grounded in big data analytics technologies and artificial intelligence algorithms (e.g., deep learning, machine learning), this direction develops data-driven intelligent diagnosis models and safety evaluation systems for infrastructure damage. It realizes the paradigm shift from "data-driven analytics" to "diagnostic decision-making," and efficiently accomplishes damage identification, risk stratification, and quantitative evaluation of safety states for infrastructure.