Knowledge-based building management combining human perception and building automation systems

Kästner, Wolfgang; Gaida, Stefan; Tellioğlu, Hilda

doi:10.1109/sa47457.2019.8938043

Cited by 2 publications

(1 citation statement)

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“…We are investigating an automatic integration of building occupant feedback and analyzing this feedback in combination with building monitoring data to improve occupant comfort and provide facility managers with information on possible re-configurations and ongoing building issues. As part of this process, a user feedback tool is designed and developed, an ontology for modeling all entities of a "Human perception and Building Automation System" (HumBAS) environment is created, and a rule-based approach for integrating feedback is developed [9]. This enables HumBAS to cover a wide range of use cases, with focus on office buildings, as they have a relatively constant and static user base, as well as to allow including open-plan offices into the project.…”

Section: Introductionmentioning

confidence: 99%

Human Perception and Building Automation Systems

et al. 2022

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Building automation is concerned with closed- and open-loop control of building services such as heating, cooling, ventilation and air conditioning, lighting and shading. The ultimate goal is to reduce energy consumption while providing comfort for the occupants. However, ensuring human comfort is a complex affair. In case of dissatisfaction, users need to inform the building operators about apparently badly adjusted setpoints. Then, service units of the facility management have to manually analyze how to improve the situation. Due to the complex characteristics of human perception and derived feedback, this can become a troublesome and time-consuming task. This paper describes the main results of our investigations to improve occupant comfort in office buildings using environmental information monitored by a wsn and human perception collected from a feedback tool. A joint information base aligned with static data from building information modeling integrates the information gathered. Reasoning on these data sources allows adjustments of the bas to automatically enhance the tenant’s comfort or suggest necessary adjustments for facility managers. Communication between the different system components is handled via mqtt. A real-world field study shows the potential of the developed approach, proves its feasibility, and demonstrates the functionality of the feedback tool.

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Section: Introductionmentioning

confidence: 99%