基于数据融合和自适应稀疏正则化的损伤识别方法及系统

• Format: Patent
• Language: Chinese
• Published: 30.09.2025
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

本发明公开了基于数据融合和自适应稀疏正则化的损伤识别方法及系统，利用多学科物联网及结构动力学分析技术，对土木结构关键部位的多种结构动力响应监测数据进行实时采集和分析，是一套基于少量多元异构数据融合的损伤识别指标和自适应稀疏正则化求解技术进行结构健康监测和损伤识别的方法，以解决土木结构健康监测系统中多源异构感知数据不能被充分挖掘、融合利用的问题，以及损伤识别指标不够敏感或损伤指标容易被环境噪声干扰而引起误判的问题。本发明提供的技术方案，可部署于结构健康监测系统，实现工程结构安全的诊断和评估，做到工程结构安全风险隐患的早预警、早发现和早处置，确保城市土木工程结构的安全运行和突发事件的高效应对。 The invention discloses a damage identification method and system based on data fusion and adaptive sparse regularization, and the method comprises the steps: carrying out the real-time collection and analysis of various structural dynamic response monitoring data of key parts of a civil structure through a multidisciplinary Internet of Things and a structural dynamics analysis technology; the method is a set of method for structural health monitoring and damage identification based on a damage identification index fused by a small amount of multivariate heterogeneous data and an adaptive sparse regularization solving technology, so as to solve the problem that multi-source heterogeneous sensing data in a civil stru