Abstract
Detecting occupancy accurately is an ongoing building performance goal. In order to detect occupancy events precisely and to provide improved performance, there must be a systematic approach to the building investigation. Building performance goals are the core motivators that encourage the development of well designed occupancy systems into the next stages of predictive analysis. These next stages will need to use several types of detection methods. Some of these methods will use improved sensors/arrays and some will use additional algorithms that will help fine tune the sensor data into valuable event occurrences. Using the traditional method of detecting occupancy within a building and comparing the improved principles of applying analytics that would detect the desired or undesired events happening within the building environment will be discussed. A summary of these methods is presented.
Presenters
Avery SchwerProfessor, Architectural Engineering and Construction, University of Nebraska - Lincoln, Nebraska, United States Donald Levi Tryon
University of Nebraska, Nebraska, United States Dale Tiller
University of Nebraska
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
BUILDING ENVIRONMENTS, OCCUPANCY DETECTION, HIGH PERFORMANCE BUILDINGS, SUSTAINABLE CONSTRUCTION