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Objective In the development context of ecological construction and new urbanization for park cities in the current new-era, the main theme is to explore the planning direction and influencing factors of urban new scene creation combined with urban rail transit environment. Method Based on the practice of scene creation and construction in Chengdu park city, ′environmental features′, ′cultural features′ and ′sociality′ are taken as the evaluation criteria for ′scene creation′. A tram station environment evaluation standard and index system composed of 3 primary evaluation indicators and 10 secondary evaluation indicators are constructed. The environment quality in good and harsh conditions of Chengdu Tram Line 2 Southwest Jiaotong University Station are comprehensively analyzed. Result & Conclusion Under the guidance of park city scene creation principle and tram station environment evaluation system, a survey analysis of the current environment at the Southwest Jiaotong University Station on Chengdu Tram Line 2 is conducted. In view of the environmental issues such as monotonous architectural forms and vague scene imagery, optimization suggestions are proposed for tram station accessibility, functionality and comfort to realize a new ′park city+rail transit′ scenario of people-oriented, green transportation and integration of industry and urban development.

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Since Chinese government work report in 2010 put forward the content of strengthening the construction of smart grids, the construction of smart grids has become one of the important contents of the national development strategy. In the in-depth study of smart grids, the issue of security defense systems and disaster prevention frameworks has always been Research hotspots by scholars at home and abroad, but most of my country’s existing security defenses are aimed at large-scale interconnected systems such as transmission grids, and there is a lack of research on disaster prevention of distribution networks. Therefore, in this research context, this article starts from the perspective of multi-source information fusion, takes into account the uncertainty of distribution network information and other factors, constructs a distribution network disaster response resilience index system and a distribution network resilience assessment model, and uses accidents at the same time. The scenario optimization method improves the disaster warning capability of the distribution network, and provides a scientific basis for the distribution network to take active defense measures. Then, a coordinated defense evolution strategy for the distribution network considering the optimization of accident scenarios was established. This strategy takes limited resources as the constraint, takes the minimum load loss as the objective function, and considers the economics of strategy conversion. Power supply equipment output, load transfer, and switching linkage mechanism between the three load is established, forming islands of security, and network transfer, emergency coordination of the three islands of the distribution network evolution strategy of active defense. This strategy looks for a directional evolution path from real-time accident scenarios to defense strategies from both horizontal and vertical perspectives, and realizes the coordinated control of the distribution network’s active defense strategy locally and globally. Finally, this paper takes the ice disaster climate as an example for simulation verification to prove the comprehensiveness of the risk assessment model and the rationality of the security defense method, and prove that the defense strategy can meet the online adaptive evolution requirements of the active defense of the distribution network, while taking into account The local autonomy and global optimal coordinated control of the active defense of the distribution network make up for the shortcomings of the current active defense strategy and are of great significance to further improve the security defense level of the active distribution network.

The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods have shortcomings, such as a long and costly deposit volume acquisition cycle, lack of knowledge and guidance, complex operations for scene modeling expression, and low scene rendering efficiency. Therefore, this paper focuses on the study of a three-dimensional visualization and optimization method for landslide disaster scenes guided by knowledge, and discusses key technologies such as the rapid acquisition of landslide deposit volume information based on three-dimensional reconstruction, the knowledge-guided dynamic modeling visualization of disaster scenes, and scene optimization considering visual significance. The prototype systems are developed and used in a case experiment and analysis. The experimental results show that the proposed method can quickly obtain the deposit volume, and the results are equivalent to ContextCapture, Metashape, and Pix4Dmapper software. The method realizes the dynamic visualization of the whole disaster process, provides rich information, achieves high readability, and improves the efficiency of scene rendering, with a stable average rendering frame rate of more than 80 frames/second. [ABSTRACT FROM AUTHOR]

The visualization of flood disasters in virtual reality (VR) scenes is useful for the representation and sharing of disaster knowledge and can effectively improve users’ cognitive efficiency in comprehending disaster information. However, the existing VR methods of visualizing flood disaster scenes have some shortcomings, such as low rendering efficiency and poor user experience. In this paper, a tunnel vision optimization method for VR flood scenes based on Gaussian blur is proposed. The key techniques are studied, such as region of interest (ROI) calculation and tunnel vision optimization considering the characteristics of the human visual system. A prototype system has been developed and used to carry out an experimental case analysis. The experimental results show that the number of triangles drawn in a flood VR scene is reduced by approximately 30%–40% using this method and that the average frame rate is stable at approximately 90 frames per second (fps), significantly improving the efficiency of scene rendering and reducing motion sickness.

The visualization of flood disasters in virtual reality (VR) scenes is useful for the representation and sharing of disaster knowledge and can effectively improve users' cognitive efficiency in comprehending disaster information. However, the existing VR methods of visualizing flood disaster scenes have some shortcomings, such as low rendering efficiency and poor user experience. In this paper, a tunnel vision optimization method for VR flood scenes based on Gaussian blur is proposed. The key techniques are studied, such as region of interest (ROI) calculation and tunnel vision optimization considering the characteristics of the human visual system. A prototype system has been developed and used to carry out an experimental case analysis. The experimental results show that the number of triangles drawn in a flood VR scene is reduced by approximately 30%–40% using this method and that the average frame rate is stable at approximately 90 frames per second (fps), significantly improving the efficiency of scene rendering and reducing motion sickness. [ABSTRACT FROM AUTHOR]

The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods have shortcomings, such as a long and costly deposit volume acquisition cycle, lack of knowledge and guidance, complex operations for scene modeling expression, and low scene rendering efficiency. Therefore, this paper focuses on the study of a three-dimensional visualization and optimization method for landslide disaster scenes guided by knowledge, and discusses key technologies such as the rapid acquisition of landslide deposit volume information based on three-dimensional reconstruction, the knowledge-guided dynamic modeling visualization of disaster scenes, and scene optimization considering visual significance. The prototype systems are developed and used in a case experiment and analysis. The experimental results show that the proposed method can quickly obtain the deposit volume, and the results are equivalent to ContextCapture, Metashape, and Pix4Dmapper software. The method realizes the dynamic visualization of the whole disaster process, provides rich information, achieves high readability, and improves the efficiency of scene rendering, with a stable average rendering frame rate of more than 80 frames/second.

Because mobile virtual reality (VR) is both mobile and immersive, three-dimensional (3D) visualizations of disaster scenes based in mobile VR enable users to perceive and recognize disaster environments faster and better than is possible with other methods. To achieve immersion and prevent users from feeling dizzy, such visualizations require a high scene-rendering frame rate. However, the existing related visualization work cannot provide a sufficient solution for this purpose. This study focuses on the construction and optimization of a 3D disaster scene in order to satisfy the high frame-rate requirements for the rendering of 3D disaster scenes in mobile VR. First, the design of a plugin-free browser/server (B/S) architecture for 3D disaster scene construction and visualization based in mobile VR is presented. Second, certain key technologies for scene optimization are discussed, including diverse modes of scene data representation, representation optimization of mobile scenes, and adaptive scheduling of mobile scenes. By means of these technologies, smartphones with various performance levels can achieve higher scene-rendering frame rates and improved visual quality. Finally, using a flood disaster as an example, a plugin-free prototype system was developed, and experiments were conducted. The experimental results demonstrate that a 3D disaster scene constructed via the methods addressed in this study has a sufficiently high scene-rendering frame rate to satisfy the requirements for rendering a 3D disaster scene in mobile VR.

Because mobile virtual reality (VR) is both mobile and immersive, three-dimensional (3D) visualizations of disaster scenes based in mobile VR enable users to perceive and recognize disaster environments faster and better than is possible with other methods. To achieve immersion and prevent users from feeling dizzy, such visualizations require a high scene-rendering frame rate. However, the existing related visualization work cannot provide a sufficient solution for this purpose. This study focuses on the construction and optimization of a 3D disaster scene in order to satisfy the high frame-rate requirements for the rendering of 3D disaster scenes in mobile VR. First, the design of a plugin-free browser/server (B/S) architecture for 3D disaster scene construction and visualization based in mobile VR is presented. Second, certain key technologies for scene optimization are discussed, including diverse modes of scene data representation, representation optimization of mobile scenes, and adaptive scheduling of mobile scenes. By means of these technologies, smartphones with various performance levels can achieve higher scene-rendering frame rates and improved visual quality. Finally, using a flood disaster as an example, a plugin-free prototype system was developed, and experiments were conducted. The experimental results demonstrate that a 3D disaster scene constructed via the methods addressed in this study has a sufficiently high scene-rendering frame rate to satisfy the requirements for rendering a 3D disaster scene in mobile VR. [ABSTRACT FROM AUTHOR]