ICALEPCS2013 - List of Authors (Golonka, P.)

Paper

Title

Page

Centralized Data Engineering for the Monitoring of the CERN Electrical Network

107

A. Kiourkos, P. Golonka, M. Gonzalez-Berges, S. Infante, J-C. Tournier
CERN, Geneva, Switzerland

The monitoring and control of the CERN electrical network involves a large variety of devices and software: it ranges from acquisition devices to data concentrators, supervision systems as well as power network simulation tools. The main issue faced nowadays for the engineering of such large and heterogeneous system including more than 20,000 devices and 200,000 tags is that all devices and software have their own data engineering tool while many of the configuration data have to be shared between two or more devices: the same data needs to be entered manually to the different tools leading to duplication of effort and many inconsistencies. This paper presents a tool called ENSDM aiming at centralizing all the data needed to engineer the monitoring and control infrastructure into a single database from which the configuration of the various devices is extracted automatically. Such approach allows the user to enter the information only once and guarantee the consistency of the data across the entire system. The paper will focus more specifically on the configuration of the remote terminal unit) devices, the global supervision system (SCADA) and the power network simulation tools.

Poster MOPPC023 [1.253 MB]

THPPC081

High-level Functions for Modern Control Systems: A Practical Example

1262

F. Varela, W.J. Fabian, P. Golonka, M. Gonzalez-Berges, L.B. Petrova
CERN, Geneva, Switzerland

Modern control systems make wide usage of different IT technologies and complex computational techniques to render the data gathered accessible from different locations and devices, as well as to understand and even predict the behavior of the systems under supervision. The Industrial Controls Engineering (ICE) Group of the EN Department develops and maintains more than 150 vital controls applications for a number of strategic sectors at CERN like the accelerator, the experiments and the central infrastructure systems. All these applications are supervised by MOON, a very successful central monitoring and configuration tool developed by the group that has been in operation 24/7 since 2011. The basic functionality of MOON was presented in previous editions of these series of conferences. In this contribution we focus on the high-level functionality recently added to the tool to grant access to multiple users through the web and mobile devices to the data gathered, as well as a first attempt to data analytics with the goal of identifying useful information to support developers during the optimization of their systems and help in the daily operations of the systems.

Paper	Title	Page
MOPPC023	Centralized Data Engineering for the Monitoring of the CERN Electrical Network	107
	A. Kiourkos, P. Golonka, M. Gonzalez-Berges, S. Infante, J-C. Tournier CERN, Geneva, Switzerland
	The monitoring and control of the CERN electrical network involves a large variety of devices and software: it ranges from acquisition devices to data concentrators, supervision systems as well as power network simulation tools. The main issue faced nowadays for the engineering of such large and heterogeneous system including more than 20,000 devices and 200,000 tags is that all devices and software have their own data engineering tool while many of the configuration data have to be shared between two or more devices: the same data needs to be entered manually to the different tools leading to duplication of effort and many inconsistencies. This paper presents a tool called ENSDM aiming at centralizing all the data needed to engineer the monitoring and control infrastructure into a single database from which the configuration of the various devices is extracted automatically. Such approach allows the user to enter the information only once and guarantee the consistency of the data across the entire system. The paper will focus more specifically on the configuration of the remote terminal unit) devices, the global supervision system (SCADA) and the power network simulation tools.
	Poster MOPPC023 [1.253 MB]

THPPC081	High-level Functions for Modern Control Systems: A Practical Example	1262
	F. Varela, W.J. Fabian, P. Golonka, M. Gonzalez-Berges, L.B. Petrova CERN, Geneva, Switzerland
	Modern control systems make wide usage of different IT technologies and complex computational techniques to render the data gathered accessible from different locations and devices, as well as to understand and even predict the behavior of the systems under supervision. The Industrial Controls Engineering (ICE) Group of the EN Department develops and maintains more than 150 vital controls applications for a number of strategic sectors at CERN like the accelerator, the experiments and the central infrastructure systems. All these applications are supervised by MOON, a very successful central monitoring and configuration tool developed by the group that has been in operation 24/7 since 2011. The basic functionality of MOON was presented in previous editions of these series of conferences. In this contribution we focus on the high-level functionality recently added to the tool to grant access to multiple users through the web and mobile devices to the data gathered, as well as a first attempt to data analytics with the goal of identifying useful information to support developers during the optimization of their systems and help in the daily operations of the systems.