Activity-Tracking Service For Building Operating Systems

Abstract

Many high consuming electricity loads in retail stores are currently highly intertwined in human activities. Without knowledge of such activities, it is difficult to improve the energy efficiency of the loads operation for sustainability and cost reasons. The increasing availability of Internet of Things sensors and devices promise to deliver rich data about human activities and control of loads. However, existing proposals for building operating systems that should combine such data and control opportunities do not provide concepts and support for activity data. In this paper, we propose an activity-tracking service for building operating systems. The service is designed to consider the security, privacy, integration, extendability and scalability challenges in the building setting. We provide initial findings for testing the system in a proof of concept evaluation using a set of common Internet of Things sensors and devices.