Autonomous Monitoring for Microstructural Damage

AutoMon项目解决方案提供了一个人工智能支持的连续、自动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、电力和核电站的所有者/运营商能够提高工厂的可靠性，并减少由于组件故障而导致的停机时间。它将导致欧盟、加拿大和全世界老化工厂的安全运行。考虑到无损检测行业劳动力短缺，提出的先进人工智能解决方案通过自主识别和向工厂操作员报告缺陷，将减少对熟练无损检测专家监测数据解释的依赖，这增加了所提出解决方案的显着优势。该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。

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.