ICALEPCS2021 - List of Keywords (data-management)

Paper	Title	Other Keywords	Page
TUPV046	Modification of Data Acquisition System in HLS-II Experimental Station	experiment, data-acquisition, controls, synchrotron	506
	Z. Zhang, G. Liu USTC/NSRL, Hefei, Anhui, People’s Republic of China
	With the proposal of the concept of super-facility in recent years, users of experimental stations only need to pay attention to data with scientific significance, and the management of massive experimental data are assisted by the super-facility technical support platform to effectively improve user efficiency. Based on this theory, we modified the data acquisition system of the XMCD experimental station in HLS-II. We continue to use LabVIEW software to reduce development workload. Meanwhile, we have added the interaction program with the high-level application in the original data acquisition process under the principle of keeping the user habits of XMCD experimental station. We have modularized the XMCD experimental software and redesigned the experimental architecture into 4 modules: Swiping Card Module, Experimental Equipment Control Module, Storage System Interaction Module and Data Management System Interaction Module. In this way, we have completed the collection of rawdata and metadata, the docking of the data persistent storage system, and the docking of data centralized management.
	Poster TUPV046 [1.640 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV046
About •	Received ※ 09 October 2021 Revised ※ 06 November 2021 Accepted ※ 15 January 2022 Issue date ※ 15 March 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPV036	Laser Driver State Estimation Oriented Data Governance	experiment, laser, database, data-analysis	942
	J. Luo, L. Li, Z. Ni, X. Zhou CAEP, Sichuan, People’s Republic of China
	Laser driver state estimation is an important task dur-ing the operation process for the high-power laser facility, by utilizing measured data to analyze experiment results and laser driver performances. It involves complicated data processing jobs, including data extraction, data cleaning, data fusion, data visualization and so on. Data governance aims to improve the efficiency and quality of data analysis for laser driver state estimation, which fo-cuses on 4 aspects ’ data specification, data cleaning, data exchange, and data integration. The achievements of data governance contribute to not only laser driver state estimation, but also other experimental data analy-sis applications.
	Poster THPV036 [0.477 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV036
About •	Received ※ 10 October 2021 Revised ※ 24 October 2021 Accepted ※ 21 November 2021 Issue date ※ 22 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

TUPV046

Modification of Data Acquisition System in HLS-II Experimental Station

experiment, data-acquisition, controls, synchrotron

506

Z. Zhang, G. Liu
USTC/NSRL, Hefei, Anhui, People’s Republic of China

With the proposal of the concept of super-facility in recent years, users of experimental stations only need to pay attention to data with scientific significance, and the management of massive experimental data are assisted by the super-facility technical support platform to effectively improve user efficiency. Based on this theory, we modified the data acquisition system of the XMCD experimental station in HLS-II. We continue to use LabVIEW software to reduce development workload. Meanwhile, we have added the interaction program with the high-level application in the original data acquisition process under the principle of keeping the user habits of XMCD experimental station. We have modularized the XMCD experimental software and redesigned the experimental architecture into 4 modules: Swiping Card Module, Experimental Equipment Control Module, Storage System Interaction Module and Data Management System Interaction Module. In this way, we have completed the collection of rawdata and metadata, the docking of the data persistent storage system, and the docking of data centralized management.

Poster TUPV046 [1.640 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV046

About •

Received ※ 09 October 2021 Revised ※ 06 November 2021 Accepted ※ 15 January 2022 Issue date ※ 15 March 2022

Cite •

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

THPV036

Laser Driver State Estimation Oriented Data Governance

experiment, laser, database, data-analysis

942

J. Luo, L. Li, Z. Ni, X. Zhou
CAEP, Sichuan, People’s Republic of China

Laser driver state estimation is an important task dur-ing the operation process for the high-power laser facility, by utilizing measured data to analyze experiment results and laser driver performances. It involves complicated data processing jobs, including data extraction, data cleaning, data fusion, data visualization and so on. Data governance aims to improve the efficiency and quality of data analysis for laser driver state estimation, which fo-cuses on 4 aspects ’ data specification, data cleaning, data exchange, and data integration. The achievements of data governance contribute to not only laser driver state estimation, but also other experimental data analy-sis applications.

Poster THPV036 [0.477 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV036

About •

Received ※ 10 October 2021 Revised ※ 24 October 2021 Accepted ※ 21 November 2021 Issue date ※ 22 February 2022

Cite •

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