TY - GEN
T1 - Methodology of advanced data validation and reconciliation application in industrial thermal processes
AU - Szega, Marcin
N1 - Publisher Copyright:
© 2019 Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems.All rights reserved.
PY - 2019
Y1 - 2019
N2 - Data validation and reconciliation is a technique that uses process information and mathematical methods in order to correct measurements in thermal industrial processes. On the need to measurements data validation and reconciliation (DVR) in order to use them for further calculations is indicated in the VDI 2048 guidelines. Moreover, the necessity of removing measurement errors, in the international standard for the integration of enterprise and control systems ISA-95 is recommended. The paper presents in a comprehensive manner methodology of advanced DVR application in computer systems supporting supervising of the industrial thermal processes. The necessity of preliminary measurements data validation has been indicated. The problems of detection and identification of measurements with a gross error were presented. A method which enables detection of steady and unsteady states in thermal processes has been shown. The statistical tests for control the assumed accuracy of measurements after advanced DVR calculations have been displayed. Block diagram of the worked-out methodology has been elaborated.
AB - Data validation and reconciliation is a technique that uses process information and mathematical methods in order to correct measurements in thermal industrial processes. On the need to measurements data validation and reconciliation (DVR) in order to use them for further calculations is indicated in the VDI 2048 guidelines. Moreover, the necessity of removing measurement errors, in the international standard for the integration of enterprise and control systems ISA-95 is recommended. The paper presents in a comprehensive manner methodology of advanced DVR application in computer systems supporting supervising of the industrial thermal processes. The necessity of preliminary measurements data validation has been indicated. The problems of detection and identification of measurements with a gross error were presented. A method which enables detection of steady and unsteady states in thermal processes has been shown. The statistical tests for control the assumed accuracy of measurements after advanced DVR calculations have been displayed. Block diagram of the worked-out methodology has been elaborated.
KW - Advanced data validation and reconciliation
KW - Methodology of data validation application
KW - Thermal processes in industry
UR - https://www.scopus.com/pages/publications/85083283179
M3 - Conference contribution
AN - SCOPUS:85083283179
T3 - ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
SP - 4435
EP - 4449
BT - ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
A2 - Stanek, Wojciech
A2 - Gladysz, Pawel
A2 - Werle, Sebastian
A2 - Adamczyk, Wojciech
PB - Institute of Thermal Technology
T2 - 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2019
Y2 - 23 June 2019 through 28 June 2019
ER -