Intelligent computing - a platform for real-time facility analytics

处理能源管理、水管理甚至食品管理的组织现在正在处理一系列“大数据”挑战，其中最具挑战性的挑战之一是实时管理集成供应链。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，为管理供应链和竞争利益相关者的利益提供解决方案。通过开发一个基于云的平台来模拟设施的实时行为，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，他们可以解决与数据收集和清理、特定领域资源的集成以及适当的机器学习技术的应用相关的问题，这些技术将与适合所讨论数据类型的交互式可视化相集成。同时，他们将研究云数据管理问题，包括数据存储、复制和支持分析活动所需的安全性、可视化和与越来越多的分布式数据的交互。

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.