Automated Robotic Food Manufacturing System.

自动化机器人食品制造系统。

• 批准号: EP/R005524/1
• 负责人: Andrea Paoli
• 金额: $ 17.75万
• 依托单位: University of Lincoln
• 依托单位国家: 英国
• 项目类别: Research Grant
• 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=EP%2FR005524%2F1
• 关键词: Automated; Robotic; Food; Manufacturing; System.

The technology being developed in this project will revolutionise the industry as it will provide a truly robotic approach to batch mixing and cooking operations. Three key developments include: 1) "Trajectory shaping" for ARFMS vessel movement to avoid instability and spillage. This work will have two aspects i) Software filter (work package 1) & ii) Vessel design (work package 2). 2) "Robot supervision" which is closely linked with the above, (work packages 1, 2, 3 and 4). This will involve monitoring with sensors what is going on inside the vessel movement wise with a view to developing a feedback loop to the robot to adjust trajectory and speed. 3) Hygiene compliance and BRC accreditation, (work package 5). Food industry technical compliance expertise at the NCFM will be utilised together with an independent food hygiene consultancy to define the cleaning and technical control standards demanded by the food processing sector. This expertise will develop solutions for these challenges and will validate these solutions via a series of industrial scale trials in the NCFM manufacturing facility with an objective of full compliance to BRC Global Standard for Food, Issue 7. ARFMS will utilise small processing vessels (weighing up to 1000Kgs when full) seamlessly moved by robot from process docking station to process docking station with no pumps or pipework and all instrumentation and control systems contained within the process workhead (lid), robot and installation. The robot will select and connect with the appropriate processing workhead, e.g. ingredient dispensing, mixing, homogenising, cooking, cooling and packing, depending on product being produced, and accurately locate onto the open vessel for activation of the processing cycle. The project plan has been realistically constructed by the project team. It is proposed to comprise of six separate Work Packages and seven Project Milestones covering one or more work packages: WP1 (Milestones 1&2) - Modelling System Dynamics (5 months). Mathematical modelling of robot tasks, installation and use of small scale robot to validate algorithms generated. WP2 (MS3) - Optimal Vessel Design & Model Variances (4 months, 3 months running concurrently with WP1 ). This will ensure that movement speed, accuracy and efficiency are maximised without spillage of contents or system damage. WP3 (MS4) - Integration of System Model into Commercial Controls (3 months). Algorithms derived from WP1 and 2 will be integrated into the large size commercial Kuka Titan KR1000 robot. WP4 (MS5) - Full Scale Evaluation (4 months). This will evaluate the modelling and vessel developments on the large scale test system at NCFM's Holbeach facility producing real food products. WP5 (MS6) - Hygienic Design of Automated Robotic Food Manufacturing System (12 months running concurrently with other work packages). To investigate and implement suitable hygienic standard compliance measures into the system. WP6 (MS7) - Project conclusions, future development, dissemination events and commercial exploitation. Key members of the project team are: OAL's Senior Management team giving support and guidance; Project Manager; Design, Engineers (Mechanical and Electrical); Software Engineers; ARFMS technician and operative. UoL's team consists of robotics, fluid dynamics, food manufacturing and science specialists and comprehensvie research facilities. Specialist sub-contractor, Food Fix Ltd, will provide independent hygiene expertise based on the British Retail Consortium's Global Food Safety Standard which is the internationally recognised food industry Technical Standard. The overall project, its partners and individual work packages will be closely managed by OAL's experienced Project Manager who has successfully managed other collaborative R&D projects.

该项目正在开发的技术将彻底改变该行业，因为它将提供一种真正的机器人方法来进行批量混合和烹饪操作。三个关键进展包括： 1) ARFMS 船舶运动的“轨迹塑造”以避免不稳定和溢出。这项工作将有两个方面：i) 软件过滤器（工作包 1）和 ii）船舶设计（工作包 2）。 2）与上述密切相关的“机器人监督”（工作包1、2、3和4）。这将涉及使用传感器监测容器内部的运动情况，以开发机器人的反馈回路来调整轨迹和速度。 3) 卫生合规性和 BRC 认证（工作包 5）。 NCFM 的食品行业技术合规专业知识将与独立的食品卫生咨询公司一起利用，以确定食品加工行业所需的清洁和技术控制标准。这些专业知识将为这些挑战开发解决方案，并通过在 NCFM 制造工厂进行的一系列工业规模试验来验证这些解决方案，目标是完全符合 BRC 全球食品标准第 7 版。ARFMS 将利用小型加工容器（满载时重达 1000 公斤），由机器人从一个过程对接站无缝移动到另一个过程对接站，无需泵或管道以及其中包含的所有仪表和控制系统。 工艺工作头（盖子）、机器人和安装。机器人将选择并连接适当的加工工作头，例如根据所生产的产品，配料分配、混合、均质、烹饪、冷却和包装，并准确定位到开放容器上以激活加工周期。项目计划是项目组根据实际情况制定的。建议由六个独立的工作包和七个项目里程碑组成，涵盖一个或多个工作包：WP1（里程碑 1 和 2）- 系统动力学建模（5 个月）。机器人任务的数学建模、小型机器人的安装和使用以验证生成的算法。 WP2 (MS3) - 最佳船舶设计和模型差异（4 个月，与 WP1 同时运行 3 个月）。这将确保最大限度地提高移动速度、准确性和效率，而不会造成内容物溢出或系统损坏。 WP3 (MS4) - 将系统模型集成到商业控制中（3 个月）。来自WP1和WP2的算法将被集成到大型商用Kuka Titan KR1000机器人中。 WP4 (MS5) - 全面评估（4 个月）。这将评估 NCFM 霍尔比奇工厂生产真实食品的大型测试系统的建模和容器开发。 WP5 (MS6) - 自动化机器人食品制造系统的卫生设计（与其他工作包同时运行 12 个月）。调查并在系统中实施适当的卫生标准合规措施。 WP6 (MS7) - 项目结论、未来发展、传播活动和商业开发。 项目团队的主要成员有： OAL 的高级管理团队给予支持和指导；专案经理;设计、工程师（机械和电气）；软件工程师； ARFMS 技术员和操作员。伦敦大学的团队由机器人、流体动力学、食品制造和科学专家组成，并拥有综合研究设施。专业分包商 Food Fix Ltd 将根据英国零售联盟的全球食品安全标准（国际公认的食品行业技术标准）提供独立的卫生专业知识。整个项目、其合作伙伴和各个工作包将由 OAL 经验丰富的项目经理密切管理，他曾成功管理过其他协作研发项目。

项目成果

Automated Food Manufacturing System and Robotic Flexible Food Manufacturing System - Innovate UK/EPSRC

自动化食品制造系统和机器人柔性食品制造系统 - Innovate UK/EPSRC

• DOI: 10.21820/23987073.2018.5.89
• 发表时间: 2018
• 期刊: Impact
• 作者: Paoli A

Manipulating liquids with robots: A sloshing-free solution

用机器人操纵液体：无晃动解决方案

• DOI: 10.1016/j.conengprac.2018.06.018
• 发表时间: 2018
• 期刊: Control Engineering Practice
• 影响因子: 4.9
• 作者: Moriello L

Deep Bayesian Self-Training

• DOI: 10.1007/s00521-019-04332-4
• 发表时间: 2020-05-01
• 期刊: NEURAL COMPUTING & APPLICATIONS
• 影响因子: 6
• 作者: Ribeiro, Fabio De Sousa;Caliva, Francesco;Kollias, Stefanos
• 通讯作者: Kollias, Stefanos