Innovative Data Driven Techniques for Structural Condition Monitoring

用于结构状态监测的创新数据驱动技术

• 批准号: FT190100801
• 负责人: Prof Jun Li
• 金额: $ 57.77万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT190100801
• 关键词: Innovative; Data; Driven; Techniques; Structural

Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.

安全和可持续的基础设施涉及开发和应用用于状况评估的结构监测和评估技术。该项目开发了一种基于新兴的图像处理、数据分析和机器学习技术的数字技术的创新结构状态监测方法，以在运营环境下更好地管理基础设施资产。该项目的预期成果加强了进行业务监测和数据解释的能力，以实现基础设施的最佳生命周期绩效。该项目将通过减少基础设施运营的中断，在基础设施资产管理方面为澳大利亚带来重大好处。