课题基金 / 基金详情

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

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
负责人:
金额:
$29.5万
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
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
近四分之一的啤酒在送到顾客手中之前就被浪费了:每桶啤酒中约有20%因变质或处理不当而损失,另外5%因温度控制不当而损失,每年使啤酒厂损失近20亿英镑,但由于水浪费和碳排放造成的环境成本可能更高。尽管酒桶中的二氧化碳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酒桶中的二氧化碳浓度。智能容器公司(TSCC)开发了一种正在申请专利的装在桶上的物联网设备KegTracker。它可以在不显眼的情况下(通过超声波)测量桶的温度、位置、运动和体积,并在桶的整个生命周期内持续测量。它希望扩展其功能,使用现有的传感器来跟踪二氧化碳饱和度。这个工业研究项目旨在将BeverEdge算法从TRL2提升到TRL5。该算法能准确、连续、低成本地测定桶内CO2浓度。它帮助啤酒厂优化他们的供应链,避免浪费,从而节省资金和环境。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data