Towards an Occupancy Count Functionality for Smart Buildings - An Industrial Perspective
2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)(2020)
摘要
This paper focuses on an overview and evaluation of existing approaches for occupancy detection and people counting within commercial buildings forming the input for a variety of optimization functions for increasing energy efficiency as well as improving the safety within buildings. Existing approaches are compared among each other using a Pugh Matrix approach by looking to which degree each technology fulfills the most important functional and non-functional requirements related to various occupancy detection use cases. Based on the outcome of the Pugh Matrix, we select two different approaches for prototypical evaluation. All of them are privacy-preserving and are easy to implement and deploy. For the most suitable approaches, namely passive infrared (PIR) and millimeter waves (mmWaves) technology, a detailed evaluation is conducted. Based on our results, we demonstrate that for scenarios with up to five people in a room the number of occupants can be determined with an accuracy of +/− one within the time frame of a few seconds, thereby delivering a comparable performance to vision-based approaches.
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关键词
occupancy count,people count,occupancy tracking,building automation
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