ICALEPCS2013 - List of Authors (Tovar, A.)

Paper	Title	Page
THPPC057	Validation of the Data Consolidation in Layout Database for the LHC Tunnel Cryogenics Controls Package	1197
	A. Tovar, C. Balle, E.B. Blanco Vinuela, C. Fluder, E. Fortescue-Beck, P. Gomes, V. Inglese, M. Pezzetti CERN, Geneva, Switzerland
	The control system of the Large Hadron Collider cryogenics manages over 34,000 instrumentation channels which are essential for populating the software of the PLCs (Programmable Logic Controller) and SCADA (Supervisory Control and Data Acquisition) responsible for maintaining the LHC at the appropriate operating conditions. The control system specification's are generated by the CERN UNICOS (Unified Industrial Control System) framework using a set of information of database views extracted from the LHC layout database. The LHC layout database is part of the CERN database managing centralized and integrated data, documenting the whole CERN infrastructures (Accelerator complex) by modeling their topographical organization (“layouts”), and defining their components (functional positions) and the relationships between them. This paper describes the methodology of the data validation process, including the development of different software tools used to update the database from original values to manually adjusted values after three years of machine operation, as well as the update of the data to accommodate the upgrade of the UNICOS Continuous Process Control package(CPC).

THPPC077	A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists	1246
	M. Pezzetti, V. Inglese, A. Tovar CERN, Geneva, Switzerland M.M. Almeida UFMG, Belo Horizonte, Brazil H. Coppier ESIEE, Amiens, France
	This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.

Paper

Title

Page

Validation of the Data Consolidation in Layout Database for the LHC Tunnel Cryogenics Controls Package

1197

A. Tovar, C. Balle, E.B. Blanco Vinuela, C. Fluder, E. Fortescue-Beck, P. Gomes, V. Inglese, M. Pezzetti
CERN, Geneva, Switzerland

The control system of the Large Hadron Collider cryogenics manages over 34,000 instrumentation channels which are essential for populating the software of the PLCs (Programmable Logic Controller) and SCADA (Supervisory Control and Data Acquisition) responsible for maintaining the LHC at the appropriate operating conditions. The control system specification's are generated by the CERN UNICOS (Unified Industrial Control System) framework using a set of information of database views extracted from the LHC layout database. The LHC layout database is part of the CERN database managing centralized and integrated data, documenting the whole CERN infrastructures (Accelerator complex) by modeling their topographical organization (“layouts”), and defining their components (functional positions) and the relationships between them. This paper describes the methodology of the data validation process, including the development of different software tools used to update the database from original values to manually adjusted values after three years of machine operation, as well as the update of the data to accommodate the upgrade of the UNICOS Continuous Process Control package(CPC).

THPPC077

A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists

1246

M. Pezzetti, V. Inglese, A. Tovar
CERN, Geneva, Switzerland
M.M. Almeida
UFMG, Belo Horizonte, Brazil
H. Coppier
ESIEE, Amiens, France

This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.