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Service-oriented tools for automating digital twin development (short paper) 用于自动化数字孪生开发的面向服务的工具(短文)
R. Kostromin, A. Feoktistov, M. Voskoboinikov
The paper represents a prototype of service-oriented tools for developing digital twins. These tools automate most of the stages in preparing and carrying out a computational experiment reducing the possibility of human error. Computational experiments based on simulation modeling are performed using the proposed tools. As an example in applying the represented tools, a digital twin of a heat pump used as environmentally-friendly equipment of an infrastructure object on the Baikal natural territory is considered. Owing to the growing anthropogenic load, special attention is paid to the objects located at the coast of Lake Baikal. During the simulation modeling, both the heat pump performance characteristics and retrospective meteorological data are used to predict climatic conditions and select optimal control parameters. In addition, the computational experiment has obviously shown that heat pump use significantly reduces the harmful effect on the environment.
本文提出了一种面向服务的数字孪生开发工具的原型。这些工具自动化了准备和执行计算实验的大部分阶段,减少了人为错误的可能性。利用所提出的工具进行了基于仿真建模的计算实验。作为应用所代表的工具的一个例子,考虑了作为贝加尔湖自然领土上基础设施对象的环保设备的热泵的数字孪生。由于日益增长的人为负荷,人们特别关注位于贝加尔湖沿岸的物体。在模拟建模过程中,利用热泵性能特征和回顾性气象数据对气候条件进行预测,选择最优控制参数。此外,计算实验也明显地表明,热泵的使用大大减少了对环境的有害影响。
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Scientific-practical Workshop Information Technologies: Algorithms, Models, Systems
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