Artificial Intelligence for structural health monitoring using graphene sensor systems (InteGraph)

该项目建议开发值得信赖和负责任的人工智能(AI)和机器学习(ML)解决方案，以推动我们在结构健康监测(SHM)领域石墨烯传感器系统的创新。由于需要收集、处理和分析大量数据，并识别允许评估结构健康和土木工程基础设施和其他工程结构状况的模式，因此在结构健康管理中使用人工智能和最大似然法被认为是一种很有前途的方法。该项目将利用DZP Technologies的石墨烯传感器，将物理世界和数字世界连接起来，创建一种新的AI和ML解决方案。

This project proposes the development of a trusted and responsible Artificial Intelligence (AI) and Machine Learning (ML) solution to drive our innovation in graphene sensor systems in the field of Structural Health Monitoring (SHM). Using AI and ML in SHM is identified as a promising approach because of the need to collect, process and analyse large amounts of data, and recognise patterns which allow the assessment of structural health and condition of civil infrastructure and other engineering structures. The project will make use of DZP Technologies' graphene sensors, bridging the physical and digital world to create a new AI and ML solution.