Manufacturing techniques based on networkable intelligent control systems and sensors

基于网络化智能控制系统和传感器的制造技术

• 批准号: 103756
• 金额: $ 63.29万
• 依托单位: BRANSCAN LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=103756
• 关键词: Manufacturing; techniques; based; networkable; intelligent

Control of the quality and safety of the food during manufacturing processes is one of the key technical and commercial challenges in food manufacturing, directly related to productivity and competitiveness. The project aims to introduce innovative new manufacturing solutions in the food industry. Key for high consistency, high quality, high speed and large yield automation, multiple node, multi-mode quality sensing and controlling is the novel technique for safe-guarding the efficiency and quality of manufacturing processes, two facets of the process. We will use new photonic sensing technologies to develop flexible and fast quality control, making the manufacturing processes more efficient. The proposed novel photonic manufacturing control techniques require digital signal processing and data analysis, which is important part of the project. The proposed approach is applicable to manufacturing processes for foodstuffs, such as flour, bread and dairy and to industrial sectors handling powdered products, such as polymers. There is a promising business opportunity and the project leader – Branscan Ltd is well positioned to take this opportunity and enable a step change in productivity and com-petitiveness of food industry with a clear public impact due to improved food quality and safety.

在生产过程中控制食品的质量和安全是食品制造中的关键技术和商业挑战之一，直接关系到生产率和竞争力。该项目旨在食品行业引入创新的新制造解决方案。高一致性、高质量、高速度和大产量的自动化、多节点、多模式质量检测和控制的关键是安全保护制造过程的效率和质量这两个方面的新技术。我们将使用新的光子传感技术来开发灵活快速的质量控制，使制造过程更加高效。提出的新型光子制造控制技术需要数字信号处理和数据分析，这是该项目的重要组成部分。拟议的方法适用于面粉、面包和乳制品等食品的制造工艺，以及处理聚合物等粉状产品的工业部门。这是一个很有希望的商业机会，项目领导者--Branscan有限公司处于有利地位，能够抓住这个机会，实现食品行业生产率和竞争力的阶段性变化，并由于食品质量和安全的改善而产生明显的公众影响。