Computer Vision Kinetics for Industrial Metal Scavenging

工业金属清除的计算机视觉动力学

• 批准号: 2738574
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2738574
• 关键词: Computer; Vision; Kinetics; Industrial; Metal

AIMS IN BRIEF: (i) Develop a computer vision enabled platform for the analysis of metal scavenging and related process-scale purification challenges.(ii) Use predictive analytics to correlate video data with spectroscopic reaction monitoring methods. (iii) Build recommended practices to integrate computer vision into industrial metal scavenging workflows, minimising requirements for time-consuming mass spectrometry methods.External support: Centre for Process Analytics & Control Technology (CPACT, £10k cash); Scale-up Systems (£20k in-kind via software licenses and consultancy)Strategic Themes: Measurement & Enabling Technologies; Innovation & EntrepreneurshipABSTRACT: This project strategically expands a UKRI Future Leaders Fellowship-funded research and commercialization programme to develop new computer vision-enabled colour analysis tools for reaction kinetics and parallel reaction analysis. Colour change phenomena are particularly important for industrial metal-catalysed reactions. Despite 60% of reactions in chemical industry being metal-catalysed, a data-rich understanding of catalyst recovery and recycling remains scientifically and economically challenging. Moreover, it is exceedingly rare to be able to monitor such processes in real-time on both very small and very large scales when a reaction transitions from lab to plant. Industry-supported proof-of-concept metal scavenging studies have revealed the productivity-enhancing potential of our analytical platform to provide an estimated 80-90% improvement in analytical processing time (from days to minutes). This emerging technology has been registered with technology transfer at Strathclyde in anticipation of intellectual property being generated during the course of the proposed research. The output from this project will be a flexible and data-rich software-based reaction monitoring method that will alleviate strain on more expensive and time-consuming analytical techniques used to monitor industrial reaction purification processes. In recognition of the potential impact, this SEA project has been endorsed by the CPACT and Scale-up Systems Ltd, with combined cash and in-kind contributions of over £30k.

目标简介：（i）开发一个计算机视觉支持的平台，用于分析金属清除和相关工艺规模的净化挑战。(ii)使用预测分析将视频数据与光谱反应监测方法相关联。(iii)建立推荐的实践，将计算机视觉集成到工业金属清除工作流程中，最大限度地减少对耗时的质谱方法的要求。外部支持：过程分析与控制技术中心（CPACT，1万英镑现金）;放大系统（通过软件许可证和咨询提供2万英镑的实物）战略主题：测量与赋能技术;创新与创业摘要：该项目战略性地扩展了UKRI未来领导者奖学金资助的研究和商业化计划，以开发新的计算机视觉颜色分析工具，用于反应动力学和并行反应分析。颜色变化现象对于工业金属催化反应特别重要。尽管化学工业中60%的反应是金属催化的，但对催化剂回收和再循环的数据丰富的理解在科学和经济上仍然具有挑战性。此外，当反应从实验室过渡到工厂时，能够在非常小和非常大的规模上实时监测这些过程是非常罕见的。行业支持的概念验证金属清除研究表明，我们的分析平台具有提高生产力的潜力，可将分析处理时间缩短约80-90%（从数天缩短至数分钟）。这项新兴技术已在斯特拉斯克莱德技术转让中心注册，预计在拟议的研究过程中将产生知识产权。该项目的产出将是一种灵活和数据丰富的基于软件的反应监测方法，将减轻用于监测工业反应纯化过程的更昂贵和耗时的分析技术的压力。为了认识到潜在的影响，这个SEA项目已经得到了CPACT和Scale-up Systems Ltd的认可，现金和实物捐助总额超过3万英镑。