A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring

Marie Baerentzen, Jalil Boudjadar, Saif Islam, Carl Schultz

2023

Abstract

Occupancy monitoring for buildings is a key component to enable cost-effective allocation of spaces and efficient resources utilization. The occupancy monitoring systems rely on networks of sensors and cameras to achieve high accuracy, however the main challenges are the privacy concerns and the computation cost. This paper proposes the design of an intelligent energy-efficient and privacy-aware system to track, monitor and analyze buildings occupancy. The core idea is that rather than collecting large amounts of sensor data to perform occupancy analysis post hoc, our proposal adopts a top-down approach where, using the knowledge about the activity expected to be taking place it proactively identifies the minimal data relevant to the actual state following the semantics of the expected activity. Thus, it switches on/off the sensors in accordance with such a subsequent dynamics and reduces the data amount to collect and the computation cost. The proposed system has been built using a domain-specific language, implemented in C++ and tested for a building case study. Our experimental results show that, while achieving a considerable reduction in computation cost (up to 35%) and energy consumption (up to 31%), our system maintains high accuracy for occupancy tracking compared to the state of the art solutions.

Paper Citation

in Harvard Style

Baerentzen M., Boudjadar J., Islam S. and Schultz C. (2023). A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring. In Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-665-1, SciTePress, pages 680-687. DOI: 10.5220/0012144000003538

in Bibtex Style

@conference{icsoft23,
author={Marie Baerentzen and Jalil Boudjadar and Saif Islam and Carl Schultz},
title={A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring},
booktitle={Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2023},
pages={680-687},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012144000003538},
isbn={978-989-758-665-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT
TI - A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring
SN - 978-989-758-665-1
AU - Baerentzen M.
AU - Boudjadar J.
AU - Islam S.
AU - Schultz C.
PY - 2023
SP - 680
EP - 687
DO - 10.5220/0012144000003538
PB - SciTePress