ICOMP DM - data mining for interactive components in the built environment

基于状态的维护是机械设备管理的未来，在整个资产生命周期内提供效率和可靠性的阶段性变化。已经提出了从公共/商业建筑的机电资产中捕获数据的系统方法(例如，通过改装的传感器网络捕获温度、振动)。然而，虽然数据可以被捕获，提供了一种立即识别组件故障的方法，但我们需要更好地了解不断变化的传感器数据模式和资产性能之间的关系，以量化退化速度和预测资产故障的时间尺度。该项目将寻求利用这一机会，将源自其他部门(如核、医学)的创新数据分析技术引入建筑环境。在对安装在斯堪斯卡管理的设施的机电资产上的传感器捕获的数据进行分析的基础上，它将评估为建筑环境创建商业、成本效益高的数据分析系统的可行性，并制定计划。

Condition based maintenance is the future of mechanical equipment management, providing a step change in efficiency and reliability throughout asset life. Systematic approaches to data capture (e.g. temperature, vibration by retrofitted sensor networks) from M&E assets in public/commercial buildings have been proposed. However, whilst data can be captured, providing a means of immediately identifying component failure, we need a better understanding of relationships between changing sensor data patterns and asset performance to quantify rates of degradation and predict timescales for asset failure. The project will look to exploit this opportunity by bringing innovative data analysis techniques derived from other sectors (e.g. nuclear, medicine) to the built environment. Building on the analysis of data being captured from sensors fitted to M&E assets at Skanska-managed facilities it will assess the feasibility of, and develop a plan for creating, a commercial, cost effective data analysis system for the built environment.