The role of linked data and the semantic web in building operation
Edward Corry, Daniel Coakley, James O’Donnell, Pieter Pauwels, Marcus Martin Keane · Ghent University Academic Bibliography (Ghent University) · 2013
Effective Decision Support Systems (DSS) for building service managers require adequate performance data from many building data silos in order to deliver a more complete view of building performance. Current performance analysis techniques tend to focus on a limited number of data sources, such as data measured in a Building Management Systems (BMS) (temperature, humidity, CO2), excluding a wealth of other data sources increasingly available in the modern building, including weather data, occupant feedback, mobile sensors & feedback systems, schedule information, equipment usage information. As part of a wider decision support framework for key building stakeholders, the paper presents a data driven approach to the structured performance assessment of buildings, utilising semantic web technologies and performance metrics. Taking an existing 14000m2 naturally-ventilated university building, we illustrate how diverse building data streams might be exposed and used to drive decision support for building operators, in the area of occupant satisfaction and performance optimisation.