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

该项目旨在开发一个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）领域的石墨烯传感器系统创新。在SHM中使用人工智能和机器学习被认为是一种很有前途的方法，因为需要收集、处理和分析大量数据，并识别模式，以便评估民用基础设施和其他工程结构的结构健康和状况。该项目将利用DZP Technologies的石墨烯传感器，连接物理和数字世界，创建新的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.