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Wednesday, February 15, 2023 8:39:44 AM
Source
https://www.newstrail.com/wimi-promote-digital-transformation-of-industries-by-its-digital-twin-ar-system/
February 10, 2023
The development of the new generation of information technology has broken the traditional industrial manufacturing mode, making it possible for cross-enterprise and cross-space collaborative manufacturing, and bringing a new round of development opportunities for manufacturing enterprises. More complex industrial manufacturing environment also for manufacturing enterprise production optimization puts forward serious challenges, contemporary manufacturing enterprises are more concerned about how in distributed collaborative manufacturing environments make systematic decisions to improve the efficiency of the whole manufacturing system, in the face of increasing global competition, manufacturing enterprises need more efficient intelligent collaboration system.
With the popularization of AR applications in the field of industrial manufacturing, many enterprises have not been satisfied with the “display” value of AR applications, and how to use AR digital twin to play a higher value in the field of industrial manufacturing has become a topic of more and more attention.
The digital twin is a kind of big data, artificial intelligence, and simulation modeling based on multidisciplinary integration technology, it adopts a digital method to establish the virtual model of physical entities, and through simulation analysis of physical activities, the integrated use of the interactive feedback, data fusion analysis, decision-making process iterative optimization technology, from the physical entity to the virtual digital model interaction and intelligent control.
WIMI Hologram Cloud (NASDAQ: WIMI) has been deeply engaged in the holographic AR field for many years and is the industry leader. It has developed the AR multi-player collaboration system based on digital twins. It can analyze the industrial manufacturing method from three aspects of process cooperation, scene collaboration, and data cooperation, realize the real-time iteration and update of industrial manufacturing process information, improve the adaptability to various working conditions, eliminate the communication barriers between staff, and ensure the temporal closed-loop control in the product manufacturing process.
Digital twin technology can meet the adaptability of multi-person collaboration systems, and realize the virtual and real mapping of the industrial manufacturing process through virtual and real interactive feedback, data fusion analysis, and decision iterative optimization. AR technology can help the staff to complete the perceptual assistance, data visualization, and interaction of the manufacturing process, which provides an opportunity for the intelligent transformation of the industrial manufacturing mode.
WIMI’s AR multi-player collaboration system based on digital twin mainly includes three processes:
- Twin body construction:
Obtain the manufacturing process resource information, process and store the multi-source heterogeneous information, and realize the construction of the manufacturing twin body.
- AR scene collaboration:
The AR system obtains the collaboration information of the object through the digital twin of the industrially manufactured object, which is used for the collaboration of the scene and data.
- AR co-guidance:
The real-time and closed-loop control of the industrial manufacturing process is realized through virtual and real integration, to meet the quality requirements of products while improving the industrial manufacturing efficiency.
In the digital twin space, the 3-D model and industrial manufacturing process information are processed to obtain abstract attribute information and relationship information to construct the twin body. Digital twinning is the basis of industrial manufacturing process management and data collaboration. AR guides scenes to act as a bridge between physical space and digital twin space for the guidance and collaboration of industrial manufacturing processes. The physical space obtains the process information and collaborative information of industrial manufacturing through the AR system and completes the collaborative manufacturing task based on the visualization and guidance of AR.
The digital twin space guides the assembly of the physical space based on the process design and ensures the standardization and efficiency of the assembly process through the virtual and real mapping process. The working conditions of the physical space will also promote the evolution of the digital twin, and ensure the high fidelity of the digital twin industry through the way of real deficiency. The AR system publishes and visualizes the work tasks through the collaborative attribute information, and constructs the collaborative AR space. Through the collaboration and control of multiple devices, the multi-person model collaboration, perspective collaboration, and data collaboration can be realized.
With the continuous development of industrial digitalization, the traditional multi-person collaboration system and human-computer interaction mode can no longer meet the needs of people. People need to build a system with realistic visual effect, the objective world and virtual scene can interact naturally, and realize multi-person collaboration in the virtual reality environment. The development of digital twins, machine vision, virtual reality, and other technologies has provided technical support for the construction of human-computer interaction and multi-person collaboration systems in the virtual reality environment, and is also more and more used in the field of digital production and manufacturing.
WIMI’s AR multi-player collaboration system based on a digital twin improves the efficiency of multi-player collaboration and human-computer interaction experience through key technologies such as twin construction, AR scene collaboration, and AR collaborative guidance, which is of great significance for promoting digital transformation and upgrading of the manufacturing industry.
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