BeverEdge: Using novel ultrasound-algorithms with IoT technology to continuously measure the product quality of consumer beverages travelling in kegs and casks

BeverEdge：使用新颖的超声波算法和物联网技术来持续测量小桶和木桶中运输的消费者饮料的产品质量

• 批准号: 10017792
• 金额: $ 29.5万
• 依托单位: THE SMART CONTAINER COMPANY LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10017792
• 关键词: BeverEdge; Using; novel; ultrasound; algorithms

Nearly a quarter of beer is wasted before it is served to customers: about 20% of each keg is lost due to spoilage or mishandling with an additional 5% lost due to poor temperature control costing the brewery sector nearly £2bn per year but the cost for the environment due to water wastage and carbon emissions may even be higher. Even though CO2 concentration in a Keg is a good quality indicator there is currently no sensor that can continuously measure a keg's CO2 concentration.The Smart Container Company (TSCC) has developed a patent-pending keg mounted IoT device, the KegTracker. It measures keg temperature, location, movement, and volume unobtrusively(via ultrasound) and continuously throughout the keg's life cycle. It wants to extend its functionality to also track CO2 saturation using existing sensors. This industrial research project aims to get the BeverEdge algorithm from TRL2 to TRL5\. This novel algorithm could determine CO2 concentration in Kegs accurately, continuously and at low cost. It helps breweries to optimise their supply chains, avoid wastage and thus save money and the environment.

近四分之一的啤酒在提供给客户之前就被浪费了：每桶啤酒中约有20%由于变质或处理不当而损失，另外5%由于温度控制不良而损失，啤酒行业每年花费近20亿英镑，但由于水浪费和碳排放造成的环境成本甚至可能更高。尽管小桶中的CO2浓度是一个很好的质量指标，但目前还没有传感器可以连续测量小桶的CO2浓度。智能容器公司（TSCC）开发了一种正在申请专利的小桶安装物联网设备KegTracker。它测量桶的温度，位置，运动和体积不显眼（通过超声波），并在整个桶的生命周期连续。它希望扩展其功能，使用现有的传感器跟踪二氧化碳饱和度。该工业研究项目旨在获得从TRL2到TRL5的BeverEdge算法。该算法能够准确、连续、低成本地测定小桶中的CO2浓度。它帮助啤酒厂优化供应链，避免浪费，从而节省资金和环境。