Zobrazit v EDS

Enhancing the smart building supervisory system effectiveness.

Uloženo v:
Podrobná bibliografie
Název: Enhancing the smart building supervisory system effectiveness.
Autoři: Masucci, Dario, Foglietta, Chiara, Panzieri, Stefano, Pizzuti, Stefano
Zdroj: Intelligent Buildings International; Sep2022, Vol. 14 Issue 5, p564-580, 17p
Témata: INTELLIGENT buildings, SUPERVISORY control systems, SMART devices, REAL-time control
Abstrakt: Modern buildings are managed by the BMS (Building Management System), a supervisory system that controls its mechanical and electrical devices. The automatic detection of faults and malfunctions plays a crucial role in the monitoring and control processes of electrical devices located in a smart building. The integration of this functionality within a BMS allows to improve the consistency and the effectiveness of the control network and to recognize and report in real-time the system's malfunctioning. The research focuses on the definition of Fault Detection procedures to verify the successful implementation of sequential commands given by control and supervisory system. The authors realize a tool to control and manage in real-time the data coming from the sensors to verify the effective implementation of a command. The procedure is based on the following important assumption – we must be able to associate the trend of a given reference magnitude with each command. By monitoring the magnitude's status and comparing them with default threshold values, the algorithms determine the command execution. Authors apply the proposed strategies on the F40 building, located in the ENEA R.C. 'La Casaccia', to detect faults and anomalies that can be traced to probable cyber intrusion or devices malfunctioning. [ABSTRACT FROM AUTHOR]
Copyright of Intelligent Buildings International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
Popis
Abstrakt:Modern buildings are managed by the BMS (Building Management System), a supervisory system that controls its mechanical and electrical devices. The automatic detection of faults and malfunctions plays a crucial role in the monitoring and control processes of electrical devices located in a smart building. The integration of this functionality within a BMS allows to improve the consistency and the effectiveness of the control network and to recognize and report in real-time the system's malfunctioning. The research focuses on the definition of Fault Detection procedures to verify the successful implementation of sequential commands given by control and supervisory system. The authors realize a tool to control and manage in real-time the data coming from the sensors to verify the effective implementation of a command. The procedure is based on the following important assumption – we must be able to associate the trend of a given reference magnitude with each command. By monitoring the magnitude's status and comparing them with default threshold values, the algorithms determine the command execution. Authors apply the proposed strategies on the F40 building, located in the ENEA R.C. 'La Casaccia', to detect faults and anomalies that can be traced to probable cyber intrusion or devices malfunctioning. [ABSTRACT FROM AUTHOR]
ISSN:17508975
DOI:10.1080/17508975.2021.1922336