| Title |
Design and Implementation of a Quality-aware Sensor Data Management System |
| Authors |
노태헌(Tae Heon No) ; 이민구(Min Goo Lee) ; 박용국(Yong Kuk Park) ; 정경권(Kyung Kwon Jung) |
| DOI |
https://doi.org/10.5573/ieie.2024.61.12.139 |
| Keywords |
IoT; Quality-aware strategy; Statistical analysis; Similarity metric; Decision support system |
| Abstract |
Various types of sensor data generated in buildings has potential value that can be utilized for optimizing energy efficiency and improving satisfaction with living spaces based on advanced information and communication technology. In particular, the Internet of Things (IoT) is utilized to collect sensor data, and the spatial information obtained through sensors is able to support more intelligent and efficient energy management solutions in building. Therefore, the stable management of sensor data is a key element for decision-making of the smart solution in building. In this paper, we have designed and implemented a building sensor data management system based on a quality-aware strategy including hierarchical modeling for structured data storage, queries considering practical integration, and quality management for maintaining and improving the consistency of information. The proposed building sensor data management system has been in operation since October 2023 in actual buildings. As a result of the quality analysis of the data accumulated until July 2024, we confirmed the formation of information on the main activity variability of residents in the building, and confirmed the results of 93.96% sustainability and 50.59% consistency improvement through comparison of distance similarity indices by operation stage centered on storage and quality management. |