关于一个社会群体的数字双胞胎建模

S. Kovalev, T. Smirnova, V. Filippov, A. Andreeva
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引用次数: 0

摘要

研究的对象是数学建模方法。本研究的主题是数学方法在社会群体数字双胞胎建模中的应用。这项工作的目的是为一个社会群体的数字对应物建模。数字替身是物理对象或流程的数字副本,通过正确的方法,它有助于改进主要和辅助业务流程。这个概念是第四次工业革命的一部分,旨在帮助更快地发现问题,找出原始产品在不同条件下会发生什么,从而生产出更好的产品。本文从应用方面考虑,给出了社会群体数字孪生数学理论的主要规定。为了解决作为工具之一的社会群体(学生)的数字双重创造问题,作者提出使用人口算法技术。本研究的新颖之处在于将群体部分算法应用于社会群体的数字双胞胎建模。选择粒子群方法作为研究工具。由于所研究的社会群体在空间中找到了最优位置,因此基于它们的粒子群模型的数字孪生元素可以在空间中搜索,特别是函数的极值。例如,它适用于寻找机器学习中损失函数的最小值。在Java Script语言中使用三个库.js进行图形模拟。数据处理使用c#作业系统进行,该系统提供并行计算过程,并集成到实体组件系统中。实施了一个程序,模拟学生群体的活动,作为社会群体的数字双胞胎的组成要素之一。群算法在实际应用领域具有广阔的应用前景。在此基础上,不仅可以解决数字双胞胎的问题,还可以管理机器人群体、机器人系统和综合体。
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About Modeling Digital Twins of a Social Group
The object of the study is mathematical modeling methods. The subject of the study is the application of mathematical methods in modeling digital twins of a social group. The aim of the work is to model the digital counterparts of a social group. A digital double is a digital copy of a physical object or process, with the right approach, it helps to improve the main and auxiliary business processes. This concept is part of the fourth industrial revolution and is designed to help detect problems faster, find out what will happen to the original in different conditions and, as a result, produce better products. In this article, some applied aspects are considered, the main provisions of the mathematical theory of digital twins of social groups are presented. To solve the problem of creating a digital double of a social group (students) as one of the tools, the authors proposed to use the technologies of population algorithms. The novelty of the research consists in the application of the swarm part algorithm for modeling digital twins of a social group. The particle swarm method was chosen as a research tool. As the social group under study finds the optimal position in space, so the element of the digital twin of the particle swarm model based on them can search in space, in particular, the extremes of functions. Which, for example, is applicable to finding the minimum of the loss function in machine learning. A graphical simulation in the Java Script language was performed using the three library.js. Data processing was performed using the C# Job System, which provides parallelization of computing processes and is integrated into the Entity Component System. A program was implemented that simulates the activity of a student group as one of the constituent elements of a digital twin of a social group. Swarm algorithms are promising in the field of practical application. On their basis, it is possible not only to solve the problems of digital twins, but also to manage groups of robots, robotic systems and complexes.
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