Author: Gao, Y.
Paper Title Page
MOMPL007 The Design of Intelligent Integrated Control Software Framework of Facilities for Scientific Experiments 132
MOPHA087   use link to see paper's listing under its alternate paper code  
 
  • Z. Ni, L. Li, J. Liu, J. Luo, X. Zhou
    CAEP, Sichuan, People’s Republic of China
  • Y. Gao
    Stony Brook University, Stony Brook, New York, USA
 
  The control system of the scientific experimental facility requires heterogeneous control access, domain algorithm, sequence control, monitoring, log, alarm and archiving. We must extract common requirements such as monitoring, control, and data acquisition. Based on the Tango framework, we build typical device components, algorithms, sequence engines, graphical models and data models for scientific experimental facility control systems developed to meet common needs, and are named the Intelligent integrated Control Software Framework of Facilities for Scientific Experiments (iCOFFEE). As a development platform for integrated control system software, iCOFFEE provides a highly flexible architecture, standardized templates, basic functional components and services for control systems that increase flexibility, robustness, scalability and maintainability. This article focuses on the design of the framework, especially the monitoring configuration and control flow design.  
slides icon Slides MOMPL007 [2.143 MB]  
poster icon Poster MOMPL007 [2.445 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPL007  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA045 A New Simulation Stucture to Improve Software Dependability in Collider-Accelerator Control Systems 301
 
  • Y. Gao, T.G. Robertazzi
    Stony Brook University, Stony Brook, New York, USA
  • K.A. Brown, J. Morris, R.H. Olsen
    BNL, Upton, New York, USA
 
  In this work, we propose a new simulation framework aiming to improve the robustness of the control system. It focuses on enhancing the reliability of controls ADO codes by running user-customized testing. The new simulation architecture has two independent parts; together they cover a large amount of ADOs frequently used by developers. The first part of the simulation framework focuses on testing ADOs with GPIB connections to devices. It consists of several function blocks and has a switch mechanism which enables users to conveniently turn on and off the simulation mode without changing the ADO codes. Moreover, it contains a special module which automates testing on ADO codes. Testing results are summarized and presented to users for codes analysis. The second part of the framework adopts a totally different structure. It simulates a different type of interface. Specifically, it focuses on testing ADOs with Ethernet connections to devices. It is based on a powerful networking engine called Twisted, which is an event-driven network programming framework developed by the Twisted Matrix Labs. The simulation framework can handle multiple types of devices at the same time.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA045  
About • paper received ※ 27 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA046 A New Simulation Timing System for Software Testing in Collider-Accelerator Control Systems 307
 
  • Y. Gao, T.G. Robertazzi
    Stony Brook University, Stony Brook, New York, USA
  • K.A. Brown, M. Harvey, J. Morris, R.H. Olsen
    BNL, Upton, New York, USA
 
  Particle accelerators need a timing mechanism to properly accelerate the beam from its source to its destination. The synchronization among accelerator devices is important, which is accomplished by a distribution of timing signals. Devices which require their times synchronized to the acceleration cycle are connected to timelines. Timing signals are sent out along the timelines in the form of digital codes. Correspondingly, devices in the complex are equipped with timeline decoders, which allow devices to extract timing signals appropriately. In this work, a new simulation architecture is introduced which can generate user-specific timing events for software testing in the control systems.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA046  
About • paper received ※ 27 September 2019       paper accepted ※ 08 October 2019       issue date ※ 30 August 2020  
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MOPHA086 The Design of Experimental Performance Analysis and Visualization System 409
 
  • J. Luo, L. Li, Z. Ni, X. Zhou
    CAEP, Sichuan, People’s Republic of China
  • Y. Gao
    Stony Brook University, Stony Brook, New York, USA
 
  The analysis of experimental performance is an essential task to any experiment. With the increasing demand on experimental data mining and utilization. methods of experimental data analysis abound, including visualization, multi-dimensional performance evaluation, experimental process modeling, performance prediction, to name but a few. We design and develop an experimental performance analysis and visualization system, consisting of data source configuration component, algorithm management component, and data visualization component. It provides us feasibilities such as experimental data extraction and transformation, algorithm flexible configuration and validation, and multi-views presentation of experimental performance. It will bring great convenience and improvement for the analysis and verification of experimental performance.  
poster icon Poster MOPHA086 [0.232 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA086  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)