Intelligent computing - a platform for real-time facility analytics

智能计算——实时设施分析平台

• 批准号: 461929-2013
• 负责人: Litoiu, Marin
• 金额: $ 13.45万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=576748
• 关键词: Intelligent; computing; platform; real; time

Organizations that deal with energy management, water management and even food management are now dealing with a range of "big data" challenges, with one of the most challenging being to manage in real-time an integrated supply chain. Our research will leverage data from smart meters, sub-meters, and real-time production and control systems to provide solutions for managing the supply chains and competing stakeholders interests. Through the development of a cloud-based platform for simulation of real-time behaviour of facilities, our researchers will access live and archived data from smart grids, farm operations and intelligent buildings. They can then address issues involved with data collection and cleansing, integration of domain specific resources, and application of appropriate machine learning techniques which will be integrated with interactive visualizations appropriate for the types of data in question. At the same time, they will investigate cloud data management issues including data storage, replication, and security required to support the analytic activities, visualization and interaction with an increasing amount of distributed data.

处理能源管理、水管理甚至食品管理的组织现在正在应对一系列“大数据”挑战，其中最具挑战性的挑战之一就是实时管理综合供应链。我们的研究将利用来自智能电表、子电表和实时生产和控制系统的数据，为管理供应链和相互竞争的利益相关者提供解决方案。通过开发基于云的设施实时行为模拟平台，我们的研究人员将访问来自智能电网、农场运营和智能建筑的实时和存档数据。然后，它们可以解决与数据收集和清理、特定领域资源的整合以及适当的机器学习技术的应用有关的问题，这些技术将与适用于所讨论的数据类型的交互可视化相结合。同时，他们将调查云数据管理问题，包括支持分析活动、可视化和与越来越多的分布式数据交互所需的数据存储、复制和安全。