Autonomous Monitoring for Microstructural Damage

微观结构损伤的自主监测

• 批准号: 106151
• 金额: $ 24.89万
• 依托单位: INNVOTEK LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=106151
• 关键词: Autonomous; Monitoring; Microstructural; Damage

The AutoMon project solution offers an AI-enabled continuous, automated ultrasonic inspection and monitoring system that can identify the defects in critical components within plants including pipes, joints, welds, and complex shaped geometries. The developed solution will enable refineries, petrochemical, power, and nuclear plant owners/operators to improve plant reliability and reduce the downtime due to components failures. It will result in the safe operation of aging plants in the EU, Canada and worldwide. The proposed advanced AI solution by autonomously identifying and reporting defects to the plant operators will reduce the dependence of monitoring data interpretation by skilled NDT expert considering the shortage of labour in NDT industry, this adds significant benefits of the proposed solution. Such a tool will also reduce the time for decision making of maintenance and repair operations thus, improving the overall performance and operational efficiency of plants.

AutoMon项目解决方案提供了一个支持人工智能的连续自动化超声波检测和监控系统，可以识别工厂内关键部件的缺陷，包括管道、接头、焊缝和复杂形状的几何形状。开发的解决方案将使炼油厂，石化，电力和核电厂业主/运营商能够提高工厂的可靠性，并减少因组件故障而导致的停机时间。这将使欧盟、加拿大和世界各地的老化工厂安全运行。考虑到NDT行业的劳动力短缺，通过自主识别并向工厂操作员报告缺陷，拟议的先进人工智能解决方案将减少对熟练NDT专家的监测数据解释的依赖，这增加了拟议解决方案的显著优势。这种工具还将减少维护和维修操作的决策时间，从而提高工厂的整体性能和运营效率。