ICALEPCS2019 - List of Authors (Luo, J.)

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 MOMPL007 [2.143 MB]
	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
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

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 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)

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 MOMPL007 [2.143 MB]

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

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

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 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)