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Predictive process monitoring can provide timely information during the operation of business processes, in order to take measures to address potential risks. How to improve the accuracy of process prediction has always been highly concerned. Most of the existing research methods focus on process prediction in static environments, with few combining digital twin technology for process prediction in dynamic environments. To this end, this paper proposed a method based on concept drift detection and constructed a digital twin process prediction model to predict the next activity. Firstly, this method used behavioral relationship between event streams and weight divergence to extract features from activities in the process and obtained the feature sets of data flows. Secondly, this method performed drift detection. It dynamically selected feature sets and input them into the artificial intelligence model for training and predicting the next activity. Then, it used advanced technologies such as the Internet of Things and cloud computing to create a digital twin virtual environment. Finally, this paper obtained a digital twin model based on concept drift. It carried out evaluation and analysis on publicly available datasets, and the experimental results show that the proposed method can improve the effectiveness of prediction. [ABSTRACT FROM AUTHOR]

Roll forming is a plastic processing technology that gradually bends metal strips and sheets laterally using sequentially arranged forming dies. Due to its low cost, high efficiency, and flexibility, it has become one of the important technologies for light weighting, energy saving, emission reduction, and safety improvement in various fields such as new energy, aerospace, and rail transportation in China. However, the complexity and discreteness of the process, uneven material thickness properties, and low level of equipment informatization and flexibility automation have made it similar to a “black box”, making it difficult to predict product quality, highly dependent on manual experience for production debugging, limited in formable cross sections, and unstable in yield. Therefore, this paper proposes a data-driven intelligent roll forming equipment (system) and introduces in detail its technical architecture and characteristics. By building a data architecture based on artificial intelligence, this system collects, screens, integrates, stores, and analyzes discrete data in traditional roll forming. Meanwhile, it integrates digital twins, artificial intelligence, contour detection technology, and multi-agent collaborative control to construct a self-correcting production mode that can replace manual experience. For the new energy vehicle industry, this paper provides a case study of using this system to solve springback control of structural components of roll-formed battery packs. Finally, suggestions and prospects for the development of this system are given. [ABSTRACT FROM AUTHOR]

To reduce the state of data silos in heat treatment intelligence technology, the application of digital twin is widely concerned. Digital twin, as a advanced intelligence technology in the field of intelligent manufacturing, is also one of the important ways to solve data silos. This paper presents the current status of research on digital twin and heat treatment based on digital twin. The current research status of digital twin is introduced on the basis of the workshop digital twin framework from four aspects: Physical workshop, virtual workshop, workshop service system, and twin data. In addition, the main problems in each part are analyzed. The application and progress of the digital twin technology in heat treatment are analyzed for digital twin-based the heat treatment technology in combination with the intelligent research progress of the traditional heat treatment technology and special heat treatment. [ABSTRACT FROM AUTHOR]

With the acceleration of urbanization and the development of information technology, the construction of smart cities has become an important way to improve urban management and service levels. As an important part of the basic information platform of land space, geological environment information plays an important role in urban planning, construction and management. The establishment of a new and intelligent geological environment information platform is an inevitable requirement for the construction of smart cities for geological environment work, and it is also the key to realize the digital transformation of geological environment work. Based on the practice and thinking of geological environment informatization in Shanghai, this paper proposes the realization path of the construction and application of geological environment information platform under the overall framework of smart city construction from the aspects of overall framework, key technologies and application scenarios, aiming to provide useful reference and reference for the realization of geological environment informatization construction in Shanghai and even other cities in China. [ABSTRACT FROM AUTHOR]

In view of the fact that there are many majors in water conservancy and hydropower engineering, the difference of modeling tools will lead to the difficulty of data transfer and even data loss when professional collaboration or phased results are transferred. This paper innovatively proposed to extend the original IFC (Industry Foundation Class) data structure on demand, established the extended data structure method of digital twin water conservancy and hydropower engineering, and formed the extended IFC expression method of water conservancy and hydropower engineering for semantic expression, geometric expression and attribute set expression, so as to provide standardized storage space for the easily lost data in water conservancy and hydropower engineering. On this basis, based on Autodesk Revit software, with the help of Revit IFC Exporter open source toolkit, the extended IFC export function including geometric information and attribute information was developed, and the dam structure was extended and exported, which verified the operability of the extended data structure establishment method. Finally, through the data transfer case, it is proved that the method can effectively ensure that the engineering information is not lost during the transfer process. [ABSTRACT FROM AUTHOR]

[Significance] Agricultural machinery serves as the fundamental support for implementing advanced agricultural production concepts. The key challenge for the future development of smart agriculture lies in how to enhance the design, manufacturing, operation, and maintenance of these machines to fully leverage their capabilities. To address this, the concept of the digital twin has emerged as an innovative approach that integrates various information technologies and facilitates the integration of virtual and real-world interactions. By providing a deeper understanding of agricultural machinery and its operational processes, the digital twin offers solutions to the complexity encountered throughout the entire lifecycle, from design to recycling. Consequently, it contributes to an all-encompassing enhancement of the quality of agricultural machinery operations, enabling them to better meet the demands of agricultural production. Nevertheless, despite its significant potential, the adoption of the digital twin for agricultural machinery is still at an early stage, lacking the necessary theoretical guidance and methodological frameworks to inform its practical implementation. [Progress] Drawing upon the successful experiences of the author's team in the digital twin for agricultural machinery, this paper presents an overview of the research progress made in digital twin. It covers three main areas: The digital twin in a general sense, the digital twin in agriculture, and the digital twin for agricultural machinery. The digital twin is conceptualized as an abstract notion that combines model-based system engineering and cyber-physical systems, facilitating the integration of virtual and real-world environments. This paper elucidates the relevant concepts and implications of digital twin in the context of agricultural machinery. It points out that the digital twin for agricultural machinery aims to leverage advanced information technology to create virtual models that accurately describe agricultural machinery and its operational processes. These virtual models act as a carrier, driven by data, to facilitate interaction and integration between physical agricultural machinery and their digital counterparts, consequently yielding enhanced value. Additionally, it proposes a comprehensive framework comprising five key components: Physical entities, virtual models, data and connectivity, system services, and business applications. Each component's functions operational mechanism, and organizational structure are elucidated. The development of the digital twin for agricultural machinery is still in its conceptual phase, and it will require substantial time and effort to gradually enhance its capabilities. In order to advance further research and application of the digital twin in this domain, this paper integrates relevant theories and practical experiences to propose an implementation plan for the digital twin for agricultural machinery. The macroscopic development process encompasses three stages: Theoretical exploration, practical application, and summarization. The specific implementation process entails four key steps: Intelligent upgrading of agricultural machinery, establishment of information exchange channels, construction of virtual models, and development of digital twin business applications. The implementation of digital twin for agricultural machinery comprises four stages: Pre-research, planning, implementation, and evaluation. The digital twin serves as a crucial link and bridge between agricultural machinery and the smart agriculture. It not only facilitates the design and manufacturing of agricultural machinery, aligning them with the realities of agricultural production and supporting the advancement of advanced manufacturing capabilities, but also enhances the operation, maintenance, and management of agricultural production to better meet practical requirements. This, in turn, expedites the practical implementation of smart agriculture. To fully showcase the value of the digital twin for agricultural machinery, this paper addresses the existing challenges in the design, manufacturing, operation, and management of agricultural machinery. It expounds the methods by which the digital twin can address these challenges and provides a technical roadmap for empowering the design, manufacturing, operation, and management of agricultural machinery through the use of the digital twin. In tackling the critical issue of leveraging the digital twin to enhance the operational quality of agricultural machinery, this paper presents two research cases focusing on high-powered tractors and large combine harvesters. These cases validate the feasibility of the digital twin in improving the quality of plowing operations for high-powered tractors and the quality of grain harvesting for large combine harvesters. [Conclusions and Prospects] This paper serves as a reference for the development of research on digital twin for agricultural machinery, laying a theoretical foundation for empowering smart agriculture and intelligent equipment with the digital twin. The digital twin provides a new approach for the transformation and upgrade of agricultural machinery, offering a new path for enhancing the level of agricultural mechanization and presenting new ideas for realizing smart agriculture. However, existing digital twin for agricultural machinery is still in its early stages, and there are a series of issues that need to be explored. It is necessary to involve more professionals from relevant fields to advance the research in this area. [ABSTRACT FROM AUTHOR]

The rapid development of network technology, human-computer interaction and artificial intelligence has given birth to the metaverse and further promoted the digital transformation of all aspects of people's life. The concept of metaverse emerged in 2021, and has attracted extensive attention from industry, academia, media and the public. This paper attempts to deeply analyze the metaverse from the perspective of technology and application. First, the concept and connotation of the metaverse are elaborated from the definition, origin & development, characteristics and key technologies (network and computing, Internet of Things, human-computer interaction, electronic game, block chain, digital twin, etc.). Then, the enterprises and application examples involved in the metaverse are dis- cussed. Finally, the existing challenges and opportunities in the development of the metaverse are analyzed, and the future researches and applications are prospected. Through the meta-analysis of the current development status and research trend of the metaverse and the scientific evaluation of the potential application of the metaverse, we can provide useful reference for the researchers of the metaverse. [ABSTRACT FROM AUTHOR]

The digital twin city seeks to restore virtually the geographic scene that is close to reality and provide the audience an immersive experience. Three dimensional (3D) real urban scene is one of the key technologies to achieve the goal. Nowadays, the combination of geographic information system and game engine becomes an industrial trend and provides new opportunities for 3D real urban scene. Oblique photogrammetric data, as being a fundamental data source for 3D urban modeling, is able to represent large-scale and high-precision scene. The game engine plays an excellent role in offering realistic effects and post-production systems that are greatly useful for geospatial data visualization. However, the diversity of specifications and formats of oblique photogrammetric data has caused many different data loading and transformation methods, resulting in a problem to be solved in 3D real urban scene. Methods: This paper aims to propose a data transformation approach from oblique photogrammetric data to rendering resources in game engine. To stress, the proposed approach can allow us to load instantly massive amount of oblique photogrammetric data in Unreal Engine, which is one of the most popular game engines. We further compared oblique photogrammetric data with rendering resources in game engine and discussed the significance of such a data transformation. The approach reorganizes the original structure of the data by parsing data into a tree structure that better suits transformation purposes. Also, the proposed approach transforms respectively the geometry and texture data when iterating tree nodes, as well as considers the essential physical properties of rendering assets. All these features are combined into a package data format. Results: In the case study of Futian district, Shenzhen, the results show that the proposed approach successfully converts oblique photogrammetric data to rendering resources in Unreal Engine 4. In the transformation process, the geometrical structure and collision properties of triangular mesh are guaranteed, and color, bump and other visual elements of original data are kept in materials. The rendering resources are loaded to simulate the real urban scenarios at different time periods of a day in Unreal Engine 4. Conclusions: This paper devises a novel approach which can convert the oblique photogrammetric data into rendering resource for a game engine to load and render, and meantime maintain the consistency of data's geometry and texture. For its scalability, it also supports parallel processing of large-scale data transformation when data is organized in the same directory. The proposed approach may be of great theoretical and practical value for other related 3D model data transformation problems. [ABSTRACT FROM AUTHOR]

As Software Defined Network（SDN） is increasingly widely used in various scenarios, a new challenge for SDN to support dynamic requirements of various applications begin to emerge. Digital Twin（DT） can enhance the capabilities of SDN in aspects of real-time analysis, deduction, and network control, and consequently satisfy the dynamic requirements of various applications. Whereas, current DT constructing schemes for SDN usually suffer from the challenges of strict delay constraint, heavy computing overhead, and low cooperating efficiency. To address the above issue, this paper proposes a novel Variable Granularity-Digital Twin（VGDT） according to the application requirement and available computing resource. Based on the distribution characteristic of the computing resource in the network, VGDT builds a cooperatively optimizing model to ensure the delay and effectiveness of the DT for SDN. Then, this paper proposes a hybrid coding genetic algorithm to solve this model, which can achieve the best granularity and the DT placement policy. The simulation results show the performance of VGDT. Compared with current DT, VGDT has higher integrity and validity of digital twin model under limited computing resource. [ABSTRACT FROM AUTHOR]

With the continuous development of digital ecological prediction and management technolo gies and promotion of new information system and industrial intelligence, the concept of Digital Twin e merges. This paper studies the problem of business separation in libraries, takes the business decomposition and reconstruction of intelligent library as the starting point, and combines the theories and technologies of Digital Twin with library business, to build a digital twin which is precisely mapping to and doing real-time interaction to physical space. And to realize organic integration and collaborative innovation '5f' of business in intelligent libraries, this paper builds a business convergence solution by using agile and effiffcient software architecture, and technologies as efficient computing and processing, multi-scale dynamic modeling and immersive interaction. [ABSTRACT FROM AUTHOR]

The paper introduces the origin and concept of the digital twin technology, and the difference between digital twin and parallel system/simulation system. Combined with the application of digital twin in the weapon equipment system, it designs the technical framework, application framework, and puts forward the key technology of weapon equipment digital twin design in equipment perception, model building, system integration, evaluate forecasts, interaction control five areas, and the theory and practice evolution suggestion of the digital twin. [ABSTRACT FROM AUTHOR]

In this paper the evolution of university library stacks is reviewed scientifically, with the focus on four modes including closed stack, limited open stack, full open stack and compact stack, lessons are drawn out and problems are analyzed, to recognize the nature of the evolution better and explore the developing project of future library stacks in the context of smart library. Based on the service philosophy with “People-oriented” and “Reader-Centered” as well as the perspective of smart library, the development strategy of the new smart stacks of university library is analyzed, including getting help from new infrastructure to refactor the information infrastructure of stacks, applying AI to build intelligent service process of stacks, using DT to build a bridge between virtual and real, marching towards the meta-universe to expand the limitless future, and so on. [ABSTRACT FROM AUTHOR]

This paper developed methods of automobile industry planning and process analysis. Traditional industry engineering and simulation method took long implementation time and high investment cost, and couldn’t efficiently support the planning task in real business. This research proposed a new simulation framework called EVA model, which was based on DEVS theory, and integrated it with industry Internet of things technology, as an agile production line planning and analyzing method. It implemented the new method in an upgrading planning process of a balance shaft production line. The result approves that the new method can enhance the modeling and simulation efficiency and support the planning task more effectively in the automobile industry. This paper also provided valuable implication, on realizing an efficient and effective interaction between physical world and virtual information world, and promoting a deeper integration of IoT technology and digital technology in manufacturing industry. [ABSTRACT FROM AUTHOR]