WiMi Built Digital-Twin Visualization Architecture

Rhea-AI Summary

WiMi Hologram Cloud announces the importance of its digital-twin visualization architecture in applying digital twin technology. The architecture includes key modules such as data collection and processing, digital twin model, visualization engine, and user interface. It enables real-time data analysis, simulation, prediction, and multi-party collaboration.

Positive

• WiMi's digital-twin visualization architecture allows for real-time data collection and analysis, enabling decision makers to understand the state and performance of entities.
• The architecture can predict future behavior and performance of physical entities, reducing losses and risks.
• Integrating data from multiple sources and using AI and machine learning technologies, the architecture provides more accurate predictions and optimized performance.
• The use of 3D visualization technology and virtual reality allows decision makers to better understand the structure and behavior of entities.
• The architecture facilitates multi-party collaboration, improving efficiency and operational accuracy.

Negative

• None.

BEIJING, Oct. 10, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that the digital-twin visualization architecture built by WiMi is an important way of applying digital twin technology. It uses advanced computer graphics and visualization technology to present the digital twin model to the user in an intuitive way and connect it with real-time data to provide users with comprehensive visualization and real-time analysis capabilities, helping users better understand and analyze the entity or system and operate it easily and quickly. The digital-twin visualization architecture includes key modules such as data collection and processing, digital twin model, visualization engine and user interface.

In order to build a digital twin model, data collection and data processing of the entity or system are first required. The collected data are then processed and transformed in order to correspond and match with the digital twin model. The next step is to build the digital twin model, which is the basis of the digital-twin visualization architecture and is an accurate digital model of the actual entity or system. The digital twin model includes geometry, physical properties, and motion behavior information. By modeling and simulating the data of the entity or system, a digital twin model is created that corresponds to the actual situation.

In addition, the system includes the visualization engine, which is the core component of the digital-twin visualization. It is responsible for presenting the digital twin model and actual data in a visualized form to the user or decision maker. This can be achieved through charts, images, animations, virtual reality, etc., providing realistic visualization. Meanwhile, the user can interact with the visualization engine to observe and analyze the digital twin model and can explore different scenarios, parameters, and decisions in order to make more accurate predictions and optimizations. The user interface, on the other hand, is the interface through which the user interacts with the digital-twin visualization system, providing various operations and controls that enable the user to freely navigate and manipulate the digital twin model.

WiMi's digital-twin visualization architecture is in real-time and is capable of collecting and processing data from various entities in real-time. The real-time data is collected and transmitted to the digital model for analysis and visualization, enabling decision makers to understand the state and performance of entities and make adjustments accordingly. The core of the digital-twin visualization architecture is to connect physical entities with their digital copies, and the feedback of real-time data allows users to accurately understand the state and performance of physical entities. Through sensors and monitoring devices, real-time data can be captured and synchronized with the digital twin for updates. This real-time feedback allows users to identify problems and take action in a timely manner, improving efficiency and safety. Moreover, the digital-twin visualization architecture not only reflects the current real-time state of physical entities, but also allows for simulation and prediction through modeling. Based on historical data and algorithmic models, the digital twin can predict the future behavior and performance of physical entities. This capability allows users to identify potential problems in advance and take appropriate preventive measures, thereby reducing losses and risks.

The digital-twin visualization architecture can fuse information from multiple data sources, including sensor data, historical data, market data, and more. By integrating these data together, a more comprehensive understanding of an entity's operation can be obtained and more accurate predictions and decisions can be made, as well as the data can be intelligently analyzed and optimized using AI and machine learning technologies. For example, by learning from historical data and pattern recognition, the system can automatically identify problems and anomalies, and propose appropriate solutions. This intelligent analysis and optimization capability can greatly improve the efficiency and performance of the entity.

WiMi uses 3D visualization technology to present digital models realistically. Through virtual reality technology, decision makers can observe and manipulate the digital model as if they were there to better understand the structure and behavior of the entity. This intuitive visualization can help decision makers better understand and analyze problems, and can also help users discover hidden correlations and patterns and make more accurate decisions. At the same time, the digital-twin visualization architecture can also facilitate multi-party collaboration. By sharing digital twin models and real-time data, different partners can work together on the same platform. For example, in the industrial sector, manufacturers, suppliers, and maintenance personnel can collaborate on design, process optimization, and troubleshooting through digital twins, which can greatly improve efficiency and operational accuracy.

In the future, with the continuous development of artificial intelligence, IoT and big data technologies, digital-twin visualization technology will also be further improved and applied. Digital-twin visualization technology will become an important tool for the intelligent transformation of various industries, which will bring more efficient and intelligent solutions to various industries, provide more accurate and comprehensive information to decision makers, and help them make more informed decisions. At the same time, digital-twin visualization technology will also promote collaboration between different industries and accelerate technological innovation and industrial development.

About WIMI Hologram Cloud

WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.

Safe Harbor Statements

This press release contains "forward-looking statements" within the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," and similar statements. Statements that are not historical facts, including statements about the Company's beliefs and expectations, are forward-looking statements. Among other things, the business outlook and quotations from management in this press release and the Company's strategic and operational plans contain forward−looking statements. The Company may also make written or oral forward−looking statements in its periodic reports to the US Securities and Exchange Commission ("SEC") on Forms 20−F and 6−K, in its annual report to shareholders, in press releases, and other written materials, and in oral statements made by its officers, directors or employees to third parties. Forward-looking statements involve inherent risks and uncertainties. Several factors could cause actual results to differ materially from those contained in any forward−looking statement, including but not limited to the following: the Company's goals and strategies; the Company's future business development, financial condition, and results of operations; the expected growth of the AR holographic industry; and the Company's expectations regarding demand for and market acceptance of its products and services.

Further information regarding these and other risks is included in the Company's annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement except as required under applicable laws.

 

View original content:https://www.prnewswire.com/news-releases/wimi-built-digital-twin-visualization-architecture-301951916.html

SOURCE WiMi Hologram Cloud Inc.

FAQ

What is WiMi's digital-twin visualization architecture?

WiMi's digital-twin visualization architecture is an important way of applying digital twin technology. It enables real-time data analysis, simulation, prediction, and multi-party collaboration.

What are the key modules of the architecture?

The key modules of the architecture include data collection and processing, digital twin model, visualization engine, and user interface.

What are the benefits of the architecture?

The architecture allows for real-time data collection and analysis, prediction of future behavior and performance, integration of multiple data sources, and improved efficiency and operational accuracy through collaboration.

How does the architecture use AI and machine learning?

The architecture intelligently analyzes and optimizes data using AI and machine learning technologies, providing more accurate predictions and optimized performance.

What technology does the architecture use for visualization?

The architecture uses 3D visualization technology and virtual reality to present digital models realistically and allow decision makers to better understand the structure and behavior of entities.