Intelligent Robotic Inspection for Foundation Industry Optimisation - IRIFIO

这个合作的工业研发项目将利用机器学习来增强应用于基础工业生产过程的人工智能，机器人和视觉系统。该项目建立在以前通过数字化检测传感器技术检测金属生产缺陷的工作基础上，以提高工业生产力，并显著降低玻璃和陶瓷制造的能源消耗。这包括将机器学习和人工智能驱动的自动化设计集成到工厂流程中，以进行制造部件的无损检测。目前的制造方法是不灵活的，通常需要对生产任务进行时间密集的预编程或手动干预，以应对意外事件或生产错误。这意味着基础工业无法应对未来环境要求的要求，并且在生产方法更新之前无法在制造过程中进行进一步改进。该项目旨在使用视觉传感器将信息输入机器学习和人工智能算法，以监控和改进金属、玻璃和陶瓷的生产过程。为了保证测量的可重复性和准确性，将探索通过现代多轴机器人系统提供的灵活性实现自动化。该系统的最终产出将为玻璃、陶瓷和金属生产带来基础行业的整体效益。该项目将通过提供经过数字化检测和学习的增强现有制造工艺来满足这些基础行业的特定需求。预计与钢化玻璃和致密陶瓷材料制造相关的能源成本降低和产量提高将受到显着和积极的影响，就像钢铁行业一样。

This collaborative, industrial R&D project will utilise machine learning to enhance artificial intelligence, robotics and vision systems when applied to foundation industry production processes. This project builds on previous work inspecting defects in metals production through digitised inspection sensor technology to enhance industrial productivity and significantly reduce energy in both glass and ceramic manufacturing. This includes the integration into factory processes visual inspection with machine learning and AI-driven automated design for the non-destructive testing of fabricated parts. Current manufacturing methods are inflexible, often requiring the time-intensive pre-programming or manual intervention of production tasks responding to unexpected occurrences or production errors. This means that foundation industries are unable to respond to the demands of future environmental requirements, and can not make further improvements within the manufacturing process until the production methods are updated. This project aims to use vision sensors to feed information into machine learning and AI algorithms to monitor and improve the metals, glass and ceramic production process. To guarantee the repeatability and accuracy of measurement, automation through the flexibility offered by modern multi-axis robotic systems will be explored. The ultimate output of the system will result in foundation industry-wide benefits in glass, ceramics and metals production. This project will address specific needs in these foundation industries by offering an augmented, existing manufacturing process thorough digitised inspection & learning. It is anticipated that a reduction in energy costs and improved production yields associated with the manufacture of tempered glass & dense ceramic materials will be significantly and positively impacted, as is the case in the steel industry.