Keyword: radiation
Paper Title Other Keywords Page
MOBR01 ROMULUSLib: An Autonomous, TCP/IP-Based, Multi-Architecture C Networking Library for DAQ and Control Applications controls, monitoring, electron, SCADA 69
 
  • A. Yadav, H. Boukabache, K. Ceesay-Seitz, N. Gerber, D. Perrin
    CERN, Geneva, Switzerland
 
  The new generation of Radiation Monitoring electronics developed at CERN, called the CERN RadiatiOn Monitoring Electronics (CROME), is a Zynq-7000 SoC-based Data Acquisition and Control system that replaces the previous generation to offer a higher safety standard, flexible integration and parallel communication with devices installed throughout the CERN complex. A TCP/IP protocol based C networking library, ROMULUSlib, was developed that forms the interface between CROME and the SCADA supervision software through the ROMULUS protocol. ROMULUSlib encapsulates Real-Time and Historical data, parameters and acknowledgement data in TCP/IP frames that offers high reliability and flexibility, full-duplex communication with the CROME devices and supports multi-architecture development by utilization of the POSIX standard. ROMULUSlib is autonomous as it works as a standalone library that can support integration with supervision applications by addition or modification of parameters of the data frame. This paper discusses the ROMULUS protocol, the ROMULUS Data frame and the complete set of commands and parameters implemented in the ROMULUSlib for CROME supervision.  
slides icon Slides MOBR01 [4.040 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOBR01  
About • Received ※ 11 October 2021       Revised ※ 18 October 2021       Accepted ※ 21 December 2021       Issue date ※ 09 March 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
MOPV006 The New Small Wheel Low Voltage Power Supply DCS for the ATLAS Experiment controls, detector, operation, experiment 111
 
  • C. Paraskevopoulos
    NTUA, Athens, Greece
 
  The present ATLAS Small Wheel detector will be replaced with the New Small Wheel(NSW) which is expected to be installed in the ATLAS underground cavern by the end of the LS2. Due to its complexity and long-term operation, NSW requires the development of a sophisticated Detector Control System. The use of such a system is necessary to allow the detector to function consistently as a seamless interface to all sub-detectors and the technical infrastructure of the experiment. The central system handles the transition between the possible operating states while ensuring monitoring and archiving of the system’s parameters. The part that will be described is the modular system of Low Voltage. The new LV Intermediate Control Station will be used to power all the boards of the NSW and through them providing readout and trigger data while functioning safely. Among its core features are remote control, split of radiation sensitive parts from parts that can be housed in a hostile area and compatibility with operation under radiation and magnetic field as in the ATLAS cavern.  
poster icon Poster MOPV006 [4.251 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV006  
About • Received ※ 10 October 2021       Revised ※ 18 October 2021       Accepted ※ 21 December 2021       Issue date ※ 24 December 2021
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
MOPV045 Data-Centric Web Infrastructure for CERN Radiation and Environmental Protection Monitoring controls, SCADA, real-time, framework 261
 
  • A. Ledeul, C.C. Chiriac, G. Segura, J. Sznajd, G. de la Cruz
    CERN, Meyrin, Switzerland
 
  Supervision, Control and Data Acquisition (SCADA) systems generate large amounts of data over time. Analyzing collected data is essential to discover useful information, prevent failures, and generate reports. Facilitating access to data is of utmost importance to exploit the information generated by SCADA systems. CERN’s occupational Health & Safety and Environmental protection (HSE) Unit operates a web infrastructure allowing users of the Radiation and Environment Monitoring Unified Supervision (REMUS) to visualize and extract near-real-time and historical data from desktop and mobile devices. This application, REMUS Web, collects and combines data from multiple sources and presents it to the users in a format suitable for analysis. The web application and the SCADA system can operate independently thanks to a data-centric, loosely coupled architecture. They are connected through common data sources such as the open-source streaming platform Apache Kafka and Oracle Rdb. This paper describes the benefits of providing a feature-rich web application as a complement to control systems. Moreover, it details the underlying architecture of the solution and its capabilities.  
poster icon Poster MOPV045 [1.253 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV045  
About • Received ※ 07 October 2021       Accepted ※ 20 November 2021       Issue date ※ 02 February 2022  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
TUAL03 R&D Studies for the Atlas Tile Calorimeter Daughterboard FPGA, detector, electron, electronics 290
 
  • E. Valdes Santurio, K.E. Dunne, S. Lee
    FYSIKUM, AlbaNova, Stockholm University, Stockholm, Sweden
  • C. Bohm, H. Motzkau, S.B. Silverstein
    Stockholm University, Stockholm, Sweden
 
  The ATLAS Hadronic Calorimeter DaughterBoard (DB) interfaces the on-detector with the off-detector electronics. The DB features two 4.6 Gbps downlinks and two pairs of 9.6 Gbps uplinks powered by four SFP+ Optical transceivers. The downlinks receive configuration commands and LHC timing to be propagated to the front-end, and the uplinks transmit continuous high-speed readout of digitized PMT samples, detector control system and monitoring data. The design minimizes single points of failure and mitigates radiation damage by means of a double-redundant scheme. To mitigate Single Event Upset rates, Xilinx Soft Error Mitigation and Triple Mode Redundancy are used. Reliability in the high speed links is achieve by adopting Cyclic Redundancy Check in the uplinks and Forward Error Correction in the downlinks. The DB features a dedicated Single Event Latch-up protection circuitry that power-cycles the board in the case of any over-current event avoiding any possible hardware damages. We present a summary of the studies performed to verify the reliability if the performance of the DB revision 6, and the radiation qualification tests of the components used for the design.  
slides icon Slides TUAL03 [4.675 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUAL03  
About • Received ※ 10 October 2021       Revised ※ 20 October 2021       Accepted ※ 22 December 2021       Issue date ※ 03 January 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEBR01 RomLibEmu: Network Interface Stress Tests for the CERN Radiation Monitoring Electronics (CROME) network, software, interface, controls 581
 
  • K. Ceesay-Seitz, H. Boukabache, M. Leveneur, D. Perrin
    CERN, Geneva, Switzerland
 
  The CERN RadiatiOn Monitoring Electronics are a modular safety system for radiation monitoring that is remotely configurable through a supervisory system via a custom protocol on top of a TCP/IP connection. The configuration parameters influence the safety decisions taken by the system. An independent test library has been developed in Python in order to test the system’s reaction to misconfigurations. It is further used to stress test the application’s network interface and the robustness of the software. The library is capable of creating packets with default values, autocompleting packets according to the protocol and it allows the construction of packets from raw data. Malformed packets can be intentionally crafted and the response of the application under test is checked for protocol conformance. New test cases can be added to the test case dictionary. Each time before a new version of the communication library is released, the Python test library is used for regression testing. The current test suite consists of 251 automated test cases. Many application bugs could be found and solved, which improved the reliability and availability of the system.  
slides icon Slides WEBR01 [1.321 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBR01  
About • Received ※ 10 October 2021       Revised ※ 18 October 2021       Accepted ※ 02 February 2022       Issue date ※ 24 February 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEBR04 Safeguarding Large Particle Accelerator Research Facility- A Multilayer Distributed Control Architecture PLC, controls, linac, electron 596
 
  • F. Tao
    SLAC, Menlo Park, California, USA
 
  Personnel Protection System (PPS) at SLAC is a global safety system responsible for protecting personnel from radiation hazards. The system’s functional design shares similar concepts with machinery safeguarding, though the complexity of PPS is much higher due to its wide geographic distribution, large numbers of devices, and multiple sources of hazards. In this paper, we will first introduce the multilayer distributed control system architecture of SLAC’s PPS, which serves three beam programs, e.g., LCLS, LCLS-II and FACET-II, that exist in the same 4km linear accelerator infrastructure. Composed of 50+ sets of redundant safety PLCs and 20+ access control PLCs, SLAC’s PPS has five layers: beam program, beam switching and permit, zone access control, zone safety control and sensor/shutoff subsystems. With this architecture, safety functions often involve multiple controllers across several layers, make it a challenge on system analysis, design, and testing. Therefore, in this paper, we will also discuss SIL verification, and PPS’s functional safety related issues for this type of complex systems.  
slides icon Slides WEBR04 [1.322 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBR04  
About • Received ※ 15 October 2021       Revised ※ 19 October 2021       Accepted ※ 21 November 2021       Issue date ※ 21 December 2021
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV024 X-Ray Beamline Control with Machine Learning and an Online Model simulation, controls, software, synchrotron 695
 
  • B. Nash, D.T. Abell, D.L. Bruhwiler, E.G. Carlin, J.P. Edelen, M.V. Keilman, P. Moeller, R. Nagler, I.V. Pogorelov, S.D. Webb
    RadiaSoft LLC, Boulder, Colorado, USA
  • Y. Du, A. Giles, J. Lynch, J. Maldonado, M.S. Rakitin, A. Walter
    BNL, Upton, New York, USA
 
  Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under contract DE-SC0020593.
We present recent developments on control of x-ray beamlines for synchrotron light sources. Effective models of the x-ray transport are updated based on diagnostics data, and take the form of simplified physics models as well as learned models from scanning over mirror and slit configurations. We are developing this approach to beamline control in collaboration with several beamlines at the NSLS-II. By connecting our online models to the Blue-Sky framework, we enable a convenient interface between the operating machine and the model that may be applied to beamlines at multiple facilities involved in this collaborative software development.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV024  
About • Received ※ 10 October 2021       Accepted ※ 21 November 2021       Issue date ※ 17 December 2021  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPV039 Novel Personnel Safety System for HLS-II controls, PLC, EPICS, operation 746
 
  • Z.Y. Huang, C. Li, G. Liu, X.K. Sun, J.G. Wang, S. Xu, K. Xuan
    USTC/NSRL, Hefei, Anhui, People’s Republic of China
 
  Funding: Supported by the National Natural Science Foundation of China (No.113751861)
The Hefei Light Source-II (HLS-II) is a vacuum ultraviolet synchrotron light source. The Personnel Safety System (PSS) is the crucial part to protect staff and users from radiation damages. In order to share access control information and improve the reliability for HLS-II, the novel PSS is designed based on Siemens redundant PLC under EPICS environment which is composed by the safety interlock system, access control system and the radiation monitoring system. This paper will demonstrate the architecture and the specific design of this novel PSS and shows the operation performance after it has been implemented for 2 years.
 
poster icon Poster WEPV039 [3.318 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV039  
About • Received ※ 30 September 2021       Revised ※ 22 October 2021       Accepted ※ 21 November 2021       Issue date ※ 02 January 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
THPV043 Using AI for Management of Field Emission in SRF Linacs cavity, operation, detector, linac 970
 
  • A. Carpenter, P. Degtiarenko, R. Suleiman, C. Tennant, D.L. Turner, L.S. Vidyaratne
    JLab, Newport News, Virginia, USA
  • K.M. Iftekharuddin, M. Rahman
    ODU, Norfolk, Virginia, USA
 
  Funding: This work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Contract No. DE-AC05-06OR23177.
Field emission control, mitigation, and reduction is critical for reliable operation of high gradient superconducting radio-frequency (SRF) accelerators. With the SRF cavities at high gradients, the field emission of electrons from cavity walls can occur and will impact the operational gradient, radiological environment via activated components, and reliability of CEBAF’s two linacs. A new effort has started to minimize field emission in the CEBAF linacs by re-distributing cavity gradients. To measure radiation levels, newly designed neutron and gamma radiation dose rate monitors have been installed in both linacs. Artificial intelligence (AI) techniques will be used to identify cavities with high levels of field emission based on control system data such as radiation levels, cryogenic readbacks, and vacuum loads. The gradients on the most offending cavities will be reduced and compensated for by increasing the gradients on least offensive cavities. Training data will be collected during this year’s operational program and initial implementation of AI models will be deployed. Preliminary results and future plans are presented.
 
poster icon Poster THPV043 [1.857 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV043  
About • Received ※ 08 October 2021       Revised ※ 21 October 2021       Accepted ※ 21 November 2021       Issue date ※ 14 December 2021
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
FRAL03 CERN Cryogenic Controls Today and Tomorrow controls, cryogenics, PLC, SCADA 997
 
  • M. Pezzetti, Ph. Gayet
    CERN, Geneva, Switzerland
 
  The CERN cryogenic facilities demand a versatile, distributed, homogeneous and highly reliable control system. For this purpose, CERN conceived and developed several frameworks (JCOP, UNICOS, FESA, CMW), based on current industrial technologies and COTS equipment, such as PC, PLC and SCADA systems complying with the requested constraints. The cryogenic control system nowadays uses these frameworks and allows the joint development of supervision and control layers by defining a common structure for specifications and code documentation. Such a system is capable of sharing control variable from all accelerator apparatus. The first implementation of this control architecture started in 2000 for the Large Hadron Collider (LHC). Since then CERN continued developing the hardware and software components of the cryogenic control system, based on the exploitation of the experience gained. These developments are always aimed to increase the safety and to improve the performance. The final part will present the evolution of the cryogenic control toward an integrated control system SOA based CERN using the Reference Architectural Model Industrie 4.0 (RAMI 4.0).  
slides icon Slides FRAL03 [6.597 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRAL03  
About • Received ※ 10 October 2021       Revised ※ 25 October 2021       Accepted ※ 26 November 2021       Issue date ※ 01 March 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)