数字孪生和地理信息系统的实施方法

Ramiz Yusifov, Behram Ismailov Ramiz Yusifov, Behram Ismailov
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摘要

地理信息系统和环境扫描等领域的商业实践变得越来越重要,尤其是在技术领域竞争激烈的情况下。组织不太可能寻找他们可以立即采取行动的信息,而不是在没有可靠信息的情况下进行实验,这导致了组织的注意力不集中。另一方面,许多公司正在将资金浪费在数据评估不足或无法吸收的项目上。为了帮助企业设计高效的环境扫描和分析策略,本研究提出了一种基于环境湍流和飞行器的新方法。许多企业发现,在创建自己的虚拟车间模型以调度和优化车间生产时,基于物理实体度量虚拟模型的设计是有用的,但单个虚拟车间模型无法捕获智能制造所需的物理对象和信息对象的交互。然而,为了表现虚拟与真实的融合,并因此最大化车间的生产,数字孪生车间是一种有效的策略。本文以数字孪生系统协同生产单元为例,对构建数字孪生车间的方法进行了验证,重点讨论了数字孪生引擎在数字孪生车间中的定义和功能。关键词:环境扫描,数字化,数字孪生,信息技术
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IMPLEMENTATION OF METHODS FOR DIGITAL TWIN AND GEOGRAPHICAL INFORMATION SYSTEMS
Business practices in areas like geographical information systems and environmental scanning are becoming more and more crucial, especially in light of the fierce competition in the technology sector. Organizations are less likely to hunt for information that they can act on right away than they are to experiment without trustworthy information, which results in organizational inattention. On the other hand, many companies are wasting money on initiatives that were either evaluated with insufficient data or that they were unable to absorb. In order to help enterprises design the best strategy for efficient environmental scanning and analysis, this study offers a new method based on environmental turbulence and aerial vehicles. Many businesses find it useful to measure the design of virtual models based on physical entities when creating their own virtual workshop models for scheduling and optimizing workshop production, but a single virtual workshop model cannot capture the interaction of physical and information objects necessary for intelligent manufacturing. To represent the fusion of virtual and real, however, and to therefore maximize the production of the workshop, the workshop for digital twins is an effective strategy. The digital twin system cooperative production unit is used as an example in this study to validate the suggested approach for building the digital twin workshop, which focuses on the definition and function of digital twin engines in a DT workshop. Keywords: Environmental scanning, digitalization, digital twin, information technologies.
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