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BiBTeX citation export for MOPHA087: The Design of Intelligent Integrated Control Software Framework of Facilities for Scientific Experiments

@InProceedings{ni:icalepcs2019-mompl007,
  author       = {Z. Ni and Y. Gao and L. Li and J. Liu and J. Luo and X. Zhou},
  title        = {{The Design of Intelligent Integrated Control Software Framework of Facilities for Scientific Experiments}},
  booktitle    = {Proc. ICALEPCS'19},
  pages        = {132--136},
  paper        = {MOMPL007},
  language     = {english},
  keywords     = {controls, software, framework, monitoring, experiment},
  venue        = {New York, NY, USA},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {17},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {08},
  year         = {2020},
  issn         = {2226-0358},
  isbn         = {978-3-95450-209-7},
  doi          = {10.18429/JACoW-ICALEPCS2019-MOMPL007},
  url          = {https://jacow.org/icalepcs2019/papers/mompl007.pdf},
  note         = {https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPL007},
  abstract     = {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.},
}