With the development of computer technology, virtual reality has gradually penetrated and changed every industrial field. The final form of Metaverse must be decentralized, and the current network ecology cannot fully meet the needs of Metaverse's decentralization. Some people believe that the coming Web 3.0 era is inseparable from the Web ecology required by the meta circle. Web 3.0 could be an important step towards a metaverse world. Different from traditional online interaction methods, pictures and videos are mainly used, which does not affect the actual production. There is no clear understanding of the overall layout of the screen, and the interaction efficiency is low. Considering the above shortcomings, this paper adopts the octree scene division method and the LOD (Levels of Detail) model technology to save storage space, speed up the rendering speed, and achieve fast rendering of virtual scenes. Introduce artificial intelligence into collision detection of 3D models, create OBB (Oriented Bounding Box) bounding boxes of model objects, and use particle swarm search algorithm to quickly find pairs of collision objects to improve collision detection efficiency. Experimental results show that a more stable average search length is realized and provides better node balance. At the same time, the multi-level detail technology LOD corresponding to the structure of the eight tree is designed to simplify the fine representation of objects in the scene layer by layer, to reduce the time of scene rendering, reduce the complexity of time and space, and improve the visualization speed.
In recent years, with the continuous improvement of science and technology and the growing demand for public security, the site selection of security resources is gradually becoming one of the hot research topics in the field of public security governance. In this regard, this paper introduces the Game Idea and unfolds the analysis from the perspective of security resource point site selection and security resource path planning, hoping to improve the emergency efficiency. From scratch, the event diffusion influence factor is introduced to construct the security resource site selection strategy model to realise the site selection decision on regional road network security resource points. Further on, the security resource scheduling path planning platform with u-Dijkstra algorithm as the core under the site selection strategy is designed to realise the path planning for security resource scheduling, providing more efficient decision suggestions that are more applicable to colleges and universities. Finally, combing the traffic network of a campus, we conduct a simulation analysis while designing a small-range security resource path planning. Subsequently, the optimal decision and the optimal route of the safety resource planning are worked out, which demonstrates the effectiveness of the mathematical model in a simulative manner.
As the current society is increasingly facing major challenges from extremism and terrorism, protecting key urban public facilities and important targets from destruction is an important challenge facing the security departments of all countries. Based on real scene, this paper conducts researches on anti-terrorism security game algorithms and emergency response models in response to the three key links of before, during and after terrorist attacks. First of all, this paper constructs a multi-round joint attack game and emergency response model based on cooperation, establishes the optimization problem of solving the defender’s optimal strategy in mathematical form, and then obtains the optimal defense strategy. Secondly, in response to the fact that terrorists are not completely rational, a new hybrid model is constructed to propose an efficient allocation and scheduling algorithm for safe resources in response to terrorist attacks. Thirdly, a model of crowd evacuation strategy after a terrorist attack is built based on the problem of crowd evacuation in multiple rounds of premeditated cooperative attacks. Finally, taking the area of the first ring of a certain city as a real scene, a complete game system of the whole process is constructed, and the game effectiveness evaluation of the existing security resource allocation scheme in the first ring area is carried out. Through the research of this thesis, the author puts forward some new technical ideas for the current society’s anti-terrorism governance, and hopes to provide some technical references for the decision-making of security agencies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.