Combining contaminant event diagnosis with data validation/reconstruction : application to smart buildings
Visualitza/Obre
0066.pdf (783,7Kb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/25212
Tipus de documentText en actes de congrés
Data publicació2014
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés restringit per política de l'editorial
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
In this work, a combined sensor data validation/reconstruction and contaminant event diagnosis approach is proposed for Smart Building systems, implemented as a twostage approach. In the first stage, sensor communication faults are detected and missing data is estimated, in order to provide a reliable dataset to perform contaminant event diagnosis in the second stage. For the first stage, the sensor validation and reconstruction technique is based on the combined use of spatial and time series models. On the one hand, spatial
models take advantage of the physical relation between different variables in the system, whilst on the other hand, time series models take advantage of the temporal redundancy of the measured variables, using Holt-Winters time series models.
For the second stage, contaminant event diagnosis is based on contaminant detection and isolation estimator schemes, using adaptive thresholds by assuming certain bounds on the measurement noise and the model uncertainty. In order to apply these diagnosis schemes, state-space models have been considered in order to model the contaminant dispersion over the indoor building environment, where the contaminant event is modelled as a fault in the process which needs to be detected and isolated. Finally, the proposed approach is successfully demonstrated for the Holmes House smart building scenario.
CitacióCuguero, M.A. [et al.]. Combining contaminant event diagnosis with data validation/reconstruction : application to smart buildings. A: Mediterranean Conference on Control & Automation. "2014 22nd Mediterranean Conference of Control and Automation, MED : Palermo, Italy, June 16-19, 2014". Palermo: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 293-298.
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
0066.pdf | 783,7Kb | Accés restringit |