Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 658-663.doi: 10.11896/jsjkx.200600158

• Interdiscipline & Application • Previous Articles     Next Articles

Design and Implementation of Scientific Experiment Management System Based on jBPM

DOU Shuai, LI Zi-yang, ZHU Jia-jia, LI Xiao-hui, LI Xue-song, MI Lin, YANG Guang, LI Chuan-rong   

  1. Key Laboratory of Quantitative Remote Sensing Information Technology,Aerospace Information Innovation Research Institute,Chinese Academy of Sciences,Beijing 100094,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:DOU Shuai,born in 1987,postgraduate,engineer.His main research interests include groud-section system engineering and distributed computing.
    LI Chuan-rong,born in 1956,postgraduate,professor,Ph.D supervisor.His main research interests include groud-section system engineering and so on.
  • Supported by:
    Strategic Priority Research Program of the Chinese Academy of Sciences(XDA17040301).

Abstract: Near-space exploration scientific experiment process is complex,it involves many management and technical sessions from planning process to implementation process.Moreover,the execution process of each experiment task is also nonidentical.Therefore,it is necessary to introduce a workflow technology to establish a scientific experiment management system to control the experiment process scientifically and effectively.This paper is facing the system design and implementation for large-scale scien-tific experiment task.It applies rational planning,multiple-scheduling,customizable workflow,nodal components to support the management program which based on jBPM workflow engine system.Specifically,the system abstracts the workflow into several independent operational nodes,according to the logical relationship among nodes to build workflow,at the same time,integrates the corresponding program components of each operational nodes to achieve management functions.It can not only meet the large-scale scientific business requirements,but also effectively improve the system scalability,reduce the difficulty of system maintenance,and become an effective technical tool to support the large-scale scientific experiments.

Key words: Component integration, Process customization, Process implementation, Workflow engine, Workflow technology

CLC Number: 

  • TP301
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