ITM Web Conf.
Volume 59, 2024II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|Number of page(s)
|Hybrid Modeling and Optimization in Complex Systems: Advances and Applications
|25 January 2024
Multi-level computer systems for automation of scientific research
Siberian Federal University,
2 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
3 Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
4 China Aviation Industry General Aircraft Zhejiang Institute Co., Ltd, China
5 National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Tashkent, Uzbekistan
* Corresponding author: email@example.com
The article is devoted to multi-level computer systems used to automate scientific research. The authors show that to automate scientific research, it is important to correctly formulate the composition of hardware and software for experimental installations and test benches. Automation means include structural devices and measuring instruments. Correct functioning of the hardware and software complex ensures the acquisition of new characteristics. The analysis of the values of these characteristics depends directly on the metrological equipment, as well as on computer processing of the measurement results. The automation of scientific research can significantly increase the objectivity and reliability of the results of experimental research, since during research a series of tests are performed. Thus, the computer technologies used make it possible to organize hardware and software support for the automation of scientific research, which ensures, over a fixed period of time, the minimization of measurement errors with limited time resources. Moreover, during this period of time, due to automation, a sufficient amount of data is collected to prove the reliability of the results obtained. This is achieved through the construction of multilevel automation systems with coordination of the work of multiple objects distributed geographically.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.