Author: Andreassen, O.O.     [Andreassen, O.Ø.]
Paper Title Page
MOPGF115 LabVIEW as a New Supervision Solution for Industrial Control Systems 1
 
  • O.Ø. Andreassen, F. Augrandjean, E. Blanco Vinuela, M.F. Gomez De La Cruz, A. Rijllart
    CERN, Geneva, Switzerland
  • D. Abalo Miron
    University of Oviedo, Oviedo, Spain
 
  To shorten the development time of supervision applications, CERN has developed the UNICOS framework, which simplifies the configuration of the front-end devices and the supervision (SCADA) layer. At CERN the SCADA system of choice is WinCC OA, but for specific projects (small size, not connected to accelerator operation or not located at CERN) a more customisable SCADA using LabVIEW is an attractive alternative. Therefore a similar system, called UNICOS in LabVIEW (UiL), has been implemented. It provides a set of highly customisable re-usable components, devices and utilities. Because LabVIEW uses different programming methods than WinCC OA, the tools for automatic instantiation of devices on both the front-end and supervision layer had to be re-developed, but the configuration files of the devices and the SCADA can be reused. This paper reports how the implementation was done, it describes the first project implemented in UiL and an outlook to other possible applications.  
poster icon Poster MOPGF115 [4.412 MB]  
 
WEPGF041 Monitoring Mixed-Language Applications with Elastic Search, Logstash and Kibana (ELK) 1
 
  • O.Ø. Andreassen, C. Charrondière, A. De Dios Fuente
    CERN, Geneva, Switzerland
 
  Application logging and system diagnostics is nothing new. Ever since we had the first computers scientist and engineers have been storing information about their systems, making it easier to understand what is going on and, in case of failures, what went wrong. Unfortunately there are as many different standards as there are file formats, storage types, locations, operating systems, etc. Recent development in web technology and storage has made it much simpler to gather all the different information in one place and dynamically adapt the display. With the introduction of Logstash with Elasticsearch as a backend, we store, index and query data, making it possible to display and manipulate data in whatever form one wishes. With Kibana as a generic and modern web interface on top, the information can be adapted at will. In this paper we will show how we can process almost any type of structured or unstructured data source. We will also show how data can be visualised and customised on a per user basis and how the system scales when the data volume grows.  
poster icon Poster WEPGF041 [3.843 MB]  
 
WEPGF042 Scalable Web Broadcasting for Historical Industrial Control Data 1
 
  • B. Copy, O.Ø. Andreassen, Ph. Gayet, M. Labrenz, H. Milcent, F. Piccinelli
    CERN, Geneva, Switzerland
 
  With the wide-spread use of asynchronous web communication mechanisms like WebSockets and WebRTC, it has now become possible to distribute industrial controls data originated in field devices or SCADA software in a scalable and event-based manner to a large number of web clients in the form of rich interactive visualizations. There is however no simple, secure and performant way yet to query large amounts of aggregated historical data. This paper presents an implementation of a tool, able to make massive quantities of pre-indexed historical data stored in ElasticSearch available to a large amount of web-based consumers through asynchronous web protocols. It also presents a simple, Opensocial-based dashboard architecture, that allows users to configure and organize rich data visualizations (based on Highcharts Javascript libraries) and create navigation flows in a responsive mobile-friendly user interface. Such techniques are used at CERN to display interactive reports about the status of the LHC infrastructure (e.g. vacuum or cryogenics installations) and give access to fine-grained historical data stored in the LHC Logging database in a matter of seconds.

 
poster icon Poster WEPGF042 [1.052 MB]  
 
WEPGF129 CERN timing on PXI and cRIO platforms 1
 
  • A. Rijllart, O.Ø. Andreassen, J. Blanco Alonso
    CERN, Geneva, Switzerland
 
  Given the time critical applications, the use of PXI and cRIO platforms in the accelerator complex at CERN, require the integration into the CERN timing system. In this paper the present state of integration of both PXI and cRIO platforms in the present General Machine Timing system and the White Rabbit Timing system, which is its successor, is described. PXI is used for LHC collimator control and for the new generation of control systems for the kicker magnets on all CERN accelerators. The cRIO platform is being introduced for transient recording on the CERN electricity distribution system and has potential for applications in other domains, because of its real-time OS, FPGA backbone and hot swap modules. The further development intended and what type of applications are most suitable for each platform, will be discussed.  
poster icon Poster WEPGF129 [1.548 MB]