Using Big Data methods to improve fuel cell manufacturing

利用大数据方法改进燃料电池制造

• 批准号: 523106-2018
• 负责人: Spiteri, Raymond
• 金额: $ 1.82万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=665729
• 关键词: Using; Big; Data; methods; improve

Manufacturing is a pillar of the Canadian economy, accounting for approximately $174 billion (or more than**10%) of GDP and employing 1.7 million people. Modern manufacturing is high-tech with many complex**processes and copious amounts of data associated with these processes.**Mercedes-Benz Canada Inc. has established a Fuel Cell Division (MBFC) in Burnaby, British Columbia, with**the objective to accelerate the development and deployment of fuel cell technologies for use in the automotive**industry. Modern manufacturing is data intensive, and the manufacturing of fuel cells is a complex procedure**involving many stages. MBFC uses a manufacturing process that includes high-precision computerized**equipment, robots, and sensors that gather and store data from the manufacturing lines. Consequently, MBFC**in is possession of a vast amount of data that describe the inputs and state of the fuel cell at many stages of**production. MBFC desires to improve their already rigorous quality control through the use of machine**learning and data analytics to detect unacceptable parts or processes as early as possible (ideally in real time) in**the manufacturing process.**This goal of this research project is to use Big Data techniques to help MBFC improve the efficiency (and**hence cost effectiveness) of its manufacturing process. This involves understanding the types of data available**and the way in which they are collected and stored. MBFC will directly utilize the results of this research to**improve its data analytics techniques, thus shedding insight on some of its acute short-term concerns as well as**to have a framework upon which to perform future analysis of new problems.**This project will result in direct economic benefit to MBFC. The company will use the research to further**improve its manufacturing process, enabling it to produce more fuel cells, more reliably, and at lower cost.**Canada is a world leader in fuel cell technology. This research will help MBFC put fuel-cell powered cars on**the road in Canada and elsewhere at more affordable prices, thus reducing green house gas emissions.

制造业是加拿大经济的支柱，约占国内生产总值的1740亿加元（或超过 **10%），雇用170万人。现代制造业是高科技的，有许多复杂的 ** 流程和与这些流程相关的大量数据。**梅赛德斯-奔驰加拿大公司在不列颠哥伦比亚省的伯纳比成立了燃料电池部（MBFC），其目标是加速燃料电池技术在汽车行业的开发和应用。现代制造业是数据密集型的，燃料电池的制造是一个复杂的过程 **，涉及许多阶段。MBFC使用的制造过程包括高精度的计算机化设备、机器人和传感器，这些传感器收集和存储来自生产线的数据。因此，MBFC** 拥有大量的数据，这些数据描述了燃料电池在 ** 生产的许多阶段的输入和状态。MBFC希望通过使用机器 ** 学习和数据分析来改善他们已经严格的质量控制，以便在 ** 制造过程中尽早（理想情况下是真实的）检测出不合格的零件或工艺。该研究项目的目标是使用大数据技术来帮助MBFC提高其制造过程的效率（以及 ** 因此的成本效益）。这涉及了解可用数据的类型 ** 以及收集和存储这些数据的方式。MBFC将直接利用这项研究的结果来 ** 改进其数据分析技术，从而深入了解其一些严重的短期问题，并 ** 建立一个框架来对新问题进行未来分析。**该项目将为MBFC带来直接的经济效益。该公司将利用这项研究进一步改进其制造工艺，使其能够生产更多的燃料电池，更可靠，成本更低。加拿大在燃料电池技术方面处于世界领先地位。这项研究将有助于MBFC以更实惠的价格在加拿大和其他地方的道路上推出燃料电池动力汽车，从而减少绿色家庭气体排放。