Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, ...
Section 4 studies Digital Twin applications and use cases of different industries. Section 5 highlights the challenges and opportunities of this technology. Finally, Section 6 provides a summary and conclusions. Section 7 provides references. 2. Background and definition In 2003 Professor Grieves of ...
The CleanEnergyBot is a Telegram bot providing real-time electricity usage, CO2 forecasts, and energy-saving tips in Ireland, using data from EirGrid and GPT-3 analysis. It helps users make eco-friendly energy choices by comparing emissions data with EU standards. ...
Digital twin (DT) technology, which lies at the core of Industry 4.0, has gained widespread adoption in various fields, including building energy analysis... F Tahmasebinia,L Lin,S Wu,... - Applied Sciences (2076-3417) 被引量: 0发表: 2023年 The Application of Artificial Intelligence and ...
The article discusses the modeling of the use of digital twin technologies (a digital twin) for the task of organizing long-term storage of various types of documents. A digital twin in this respect differs from a digital copy, which has no connection with the real original object. A review...
How do companies improve production processes instantly? The solution can be found in digital twin technology. Picture yourself generating a digital copy of a tangible object, mimicking its functionality, and quickly making decisions based on data. It may seem like something from the future, but it...
Digital twin driven smart product design framework With the advent of new generation information technologies (new IT) in industry and product design, the big data鈥揹riven product design era has arrived. However, current research mainly places emphasis on the analysis of physical data r... M ...
By applying an energy management system, the unit energy consumption and energy cost of production in Company A decreased by at least 3%. In addition, the ‘cradle-to-gate’ lifecycle big data analysis indicates that the costs of environmental protection in Company B decrease significantly. ...
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In addition to model-based methods, data-driven analysis, which is also a hallmark of DTs, has been widely applied to predict operation states and detect anomalies. Thus, typical functions of DTs, such as condition monitoring and fault detection, were realized without claiming the concept of DT...