Simulation Experiment Teaching for Airport Fire Escape based on Virtual Reality and Artificial Intelligence Technology

Author(s):  
Jun Li ◽  
Xiaolong Mei ◽  
Jinyang Wang ◽  
Beijing Xie ◽  
Yubin Xu
Author(s):  
Jianzhong Dou ◽  
Zhicheng Liu ◽  
Wei Xiong ◽  
Hongzhong Chen ◽  
Yifei Wu ◽  
...  

 The traditional power grid dispatching fault detection method has low detection efficiency and accuracy due to the lack of uncertainty in modeling. Aiming at the above problems, a multi-level cooperative fault detection method based on artificial intelligence technology is studied. After the preliminary processing of the dispatching data, the multilevel fault detection architecture is established. BP neural network is used to realize the multi-level cooperative detection of scheduling faults in the multi-level detection architecture. Through simulation experiment, it is proved that the failure rate and false detection rate of the proposed method are far lower than those of traditional methods, and the method has high stability and advantages.


Author(s):  
Wang Xi

Purposed to promote the development of artificial intelligence (AI) technology in the game field, this article adopts the literature analysis method and the case study method, analyzes the problems with virtual reality (VR) games and explores several popular VR game cases in China and abroad before summarizing the artistic characteristics of VR games. Artificial intelligence technology has brought a new creative mode to the game industry, while providing more suitable game content for players. Further, artificial intelligence technology can equip VR games with better game experience by analyzing players’ physiological and psychological information as well as players’ game strategies. Compared with traditional games, VR games can deliver better interactivity, deeper immersion and higher fidelity. However, VR games impose higher requirements on device data and space scale; in other words, they must meet specific requirements to provide better game experience. VR games also have monotonous game types and high prices. In the future, the integration of VR games with artificial intelligence would generate more profound game-player experiences and richer game contents.


2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Yanrong Bao

The application of artificial intelligence technology in the film and television field has profoundly changed the content and production methods of television programs and promoted the development and production of a new generation of artificial intelligence television. The popularization of artificial intelligence technology is conducive to improving the quality of television program content, innovating content categories, reducing television program production cost, and improving production efficiency. Due to the popularization and the use of virtual reality (VR) technology in scientific research and social life, the application of VR technology has been studied from the perspective of film and television animation (FTA) teaching, hoping to promote the development of FTA education. First, the existing dynamic environment modeling technology, real-time three-dimensional (3D) graphic generation technology, stereoscopic display, and sensor technology and other VR technologies are combined to carry out teaching design. In view of the current situation of the teaching process of FTA major, the research on these four aspects has been carried out. VR technology is used as an auxiliary teaching tool to complete the basic course teaching of FTA; the 3D animation course and VR technology are combined to improve the teaching effect of professional skill courses. Then, in the application effect, classroom satisfaction, comprehensive quality evaluation, and professional core curriculum effect are compared and analyzed. The results show that the students’ comprehensive quality evaluation in VR technology group is significantly improved, and the satisfaction of classroom atmosphere, teaching mode, and teaching facilities are 75%, 61%, and 81%, respectively. The students in this group can better integrate the new design method into the animation modeling and complete the course design task with high quality. Compared with the traditional teaching mode, the students’ satisfaction is higher and the harvest is greater. Therefore, the use of VR technology in FTA teaching can stimulate students’ interest in learning, improve learning efficiency, and promote the mastery of professional knowledge and skills. The application mode and effect analysis of the proposed VR technology provide a reference for the application of VR technology in FTA teaching.


Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1377 ◽  
Author(s):  
Zheng Xie

To enrich the form of film and television production, improve the level of film and television production, and satisfy the film-watching experiences of audiences, based on Virtual Reality (VR) and the Internet of Things (IoT) technology, with the help of S3 Studio Max and Photoshop software, a VR film-watching system is built, which realizes the interaction with users on different devices through somatosensory interaction sensors. In addition, by utilizing Twirling720, the panoramic sound recording is achieved. Through this system, a smart IoT platform between users, films, and devices is built. Finally, this platform is utilized to produce the film and television work Van Gogh in Dream, which is evaluated and analyzed through questionnaires. The results show that the technology system of this set of film and television production is complete, and the production level of film and television works have been significantly improved. The audience recognition of film and television production based on this technology is 55%, and the impression evaluation is over 56%. However, knowledge acquisition is only 20%, and historical understanding is above 50%. These dimensions show that compared with traditional film production, artificial intelligence films can bring a better experience to audiences, but knowledge acquisition is less. Therefore, professional knowledge will be improved at the later stage. The above results provide a theoretical basis for the application of artificial intelligence technology in film production and production mode.


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