Data investigation and analytics development in support of plant maintenance operations planning

支持工厂维护运营规划的数据调查和分析开发

• 批准号: 530272-2018
• 负责人: Lu, Ming
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 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=658024
• 关键词: Data; investigation; analytics; development; support

Major industrial facilities act as the pillars to sustain the quality of life, drive economic developments and also play a pivotal part in improving social and environmental sustainability in Alberta, and in Canada at large. Data-driven, analytical decision support for planning shutdown and maintenance projects on those facilities is vitally important. Improving reliability and predictability in developing maintenance and repair programs for major equipment operation as well as the operation of the entire production system is crucial to strategic competitiveness of the Canadian industry. The proposed ENGAGE project is intended to develop and implement data-driven quantitative techniques to improve current practices so as to enable plant operators to predict potential failures and plan for proper maintenance operations in a more scientific and proactive fashion. The goal is to identify hidden patterns and complex relationships from the historical data so as to lend analytical decision support in planning maintenance operations with higher reliability, efficiency, and cost-effectiveness. The majority of the research (including data analysis, algorithm development and testing) will be performed by the PI's team at University of Alberta. The partner company (Kearl Plant Maintenance Crew, Imperial Oil Ltd.) will facilitate the collection of related information and data from the site and provide technical know-how on major equipment, sensors, and plant operations and maintenance practices. This ENGAGE project will contribute to broadening the scope and impact of Construction Engineering and Management (CEM) research programs at U of A and other major Canadian universities. As such, CEM is not limited to the design and construction phases, but to encompass the operations and maintenance phase in the full life cycle of a major capital project. This is also conducive to having all the stakeholders on board to implement emerging technologies and apply scientific approaches for better project management. ****************

主要工业设施是维持生活质量、推动经济发展的支柱，在改善阿尔伯塔乃至整个加拿大的社会和环境可持续性方面也发挥着关键作用。数据驱动的分析决策支持对于规划这些设施的关闭和维护项目至关重要。提高主要设备运行以及整个生产系统运行的维护和维修计划的可靠性和可预测性对加拿大工业的战略竞争力至关重要。拟议的ENGAGE项目旨在开发和实施数据驱动的定量技术，以改进当前的实践，从而使工厂运营商能够预测潜在的故障，并以更科学和主动的方式规划适当的维护操作。其目标是从历史数据中识别隐藏的模式和复杂的关系，以便在规划维护操作时提供更高可靠性，效率和成本效益的分析决策支持。大部分研究（包括数据分析、算法开发和测试）将由阿尔伯塔大学的PI团队进行。合作伙伴公司（帝国石油有限公司Kearl工厂维护人员）将促进从现场收集相关信息和数据，并提供关于主要设备、传感器以及工厂运营和维护做法的技术知识。这个项目将有助于扩大建筑工程和管理（CEM）的研究计划在A和其他主要加拿大大学的U的范围和影响。因此，CEM并不限于设计和施工阶段，而是包括主要基本建设项目整个生命周期的运营和维护阶段。这也有利于所有利益攸关方参与实施新兴技术，并采用科学方法来改善项目管理。 ****************