This research pioneers the integration of geographic information systems(GIS)and 3D modeling within a virtual reality(VR)framework to assess the viability and planning of a 20 MW hybrid wind-solarphotovoltaic(PV)syste...This research pioneers the integration of geographic information systems(GIS)and 3D modeling within a virtual reality(VR)framework to assess the viability and planning of a 20 MW hybrid wind-solarphotovoltaic(PV)system connected to the local grid.The study focuses on Dakhla,Morocco,a region with vast untapped renewable energy potential.By leveraging GIS,we are innovatively analyzing geographical and environmental factors that influence optimal site selection and system design.The incorporation of VR technologies offers an unprecedented level of realism and immersion,allowing stakeholders to virtually experience the project's impact and design in a dynamic,interactive environment.This novel methodology includes extensive data collection,advanced modeling,and simulations,ensuring that the hybrid system is precisely tailored to the unique climatic and environmental conditions of Dakhla.Our analysis reveals that the region possesses a photovoltaic solar potential of approximately2400 k Wh/m^(2) per year,with an average annual wind power density of about 434 W/m^(2) at an 80-meter hub height.Productivity simulations indicate that the 20 MW hybrid system could generate approximately 60 GWh of energy per year and 1369 GWh over its 25-year lifespan.To validate these findings,we employed the System Advisor Model(SAM)software and the Global Solar Photovoltaic Atlas platform.This comprehensive and interdisciplinary approach not only provides a robust assessment of the system's feasibility but also offers valuable insights into its potential socio-economic and environmental impact.展开更多
Accurate vector extraction from design drawings is required first to automatically create 3D models from pixel-level engineering design drawings. However, this task faces the challenges of complicated design shapes as...Accurate vector extraction from design drawings is required first to automatically create 3D models from pixel-level engineering design drawings. However, this task faces the challenges of complicated design shapes as well as cumbersome and cluttered annotations on drawings, which interfere with the vector extraction heavily. In this article, the transmission tower containing the most complex structure is taken as the research object, and a semantic segmentation network is constructed to first segment the shape masks from the pixel-level drawings. Preprocessing and postprocessing are also proposed to ensure the stability and accuracy of the shape mask segmentation. Then, based on the obtained shape masks, a vector extraction network guided by heatmaps is designed to extract structural vectors by fusing the features from node heatmap and skeleton heatmap, respectively. Compared with the state-of-the-art methods, experiment results illustrate that the proposed semantic segmentation method can effectively eliminate the interference of many elements on drawings to segment the shape masks effectively, meanwhile, the model trained by the proposed vector extraction network can accurately extract the vectors such as nodes and line connections, avoiding redundant vector detection. The proposed method lays a solid foundation for automatic 3D model reconstruction and contributes to technological advancements in relevant fields.展开更多
Vulnerability assessment is a systematic process to identify security gaps in the design and evaluation of physical protection systems.Adversarial path planning is a widely used method for identifying potential vulner...Vulnerability assessment is a systematic process to identify security gaps in the design and evaluation of physical protection systems.Adversarial path planning is a widely used method for identifying potential vulnerabilities and threats to the security and resilience of critical infrastructures.However,achieving efficient path optimization in complex large-scale three-dimensional(3D)scenes remains a significant challenge for vulnerability assessment.This paper introduces a novel A^(*)-algorithmic framework for 3D security modeling and vulnerability assessment.Within this framework,the 3D facility models were first developed in 3ds Max and then incorporated into Unity for A^(*)heuristic pathfinding.The A^(*)-heuristic pathfinding algorithm was implemented with a geometric probability model to refine the detection and distance fields and achieve a rational approximation of the cost to reach the goal.An admissible heuristic is ensured by incorporating the minimum probability of detection(P_(D)^(min))and diagonal distance to estimate the heuristic function.The 3D A^(*)heuristic search was demonstrated using a hypothetical laboratory facility,where a comparison was also carried out between the A^(*)and Dijkstra algorithms for optimal path identification.Comparative results indicate that the proposed A^(*)-heuristic algorithm effectively identifies the most vulnerable adversarial pathfinding with high efficiency.Finally,the paper discusses hidden phenomena and open issues in efficient 3D pathfinding for security applications.展开更多
Highway planning requires geological surveys and stability analysis of the surrounding area.In the early stage of the survey,the modeling and stability analysis of the survey area can be carried out by using GIS softw...Highway planning requires geological surveys and stability analysis of the surrounding area.In the early stage of the survey,the modeling and stability analysis of the survey area can be carried out by using GIS software to intuitively understand the topography of the study area.The use of DEM to extract terrain factors can be used for simple stability analysis and the source data is easy to obtain,simple to operate,fast to analyze,and reliable analysis results.In this paper,taking the X104 road section in Ganxian County as an example,the ArcGIS platform is used to carry out 3D modeling visualization and stability analysis,and the stability evaluation map of the study area is obtained.展开更多
目的:近年来,许多学者将3D打印人工椎体应用于颈椎前路椎体次全切除植骨融合术中,但是与传统钛笼相比是否疗效更佳尚存争议。为此,拟系统评价3D打印人工椎体对比传统钛笼作为内植物应用于颈椎前路椎体次全切除植骨融合治疗颈椎病的有效...目的:近年来,许多学者将3D打印人工椎体应用于颈椎前路椎体次全切除植骨融合术中,但是与传统钛笼相比是否疗效更佳尚存争议。为此,拟系统评价3D打印人工椎体对比传统钛笼作为内植物应用于颈椎前路椎体次全切除植骨融合治疗颈椎病的有效性与安全性。方法:计算机检索CNKI、WangFang、CBM、VIP、PubMed、EMBASE、The Cochrane Library数据库,搜集各数据库建库至2025年2月有关3D打印人工椎体应用于颈椎前路椎体次全切除植骨融合的临床研究。筛选文献、提取资料并评价纳入研究的方法学质量后,采用Rev Man 5.4软件进行Meta分析。结果:①共纳入10篇文献,包含2篇前瞻性随机对照研究,6篇回顾性队列研究,2篇前瞻性队列研究,均为高质量研究;所纳入的文献共包含534例患者,其中3D打印组273例,对照组261例;②Meta分析结果显示:3D打印组在手术时间[SMD=-1.13,95%CI(-1.87,-0.39),P=0.003]、术后末次随访椎间隙丢失高度[SMD=-3.01,95%CI(-5.74,-0.29),P=0.03]、术后3个月颈椎功能障碍指数[SMD=-0.34,95%CI(-0.66,-0.03),P=0.03]、假体塌陷率[OR=0.19,95%CI(0.11,0.32),P<0.00001]、术后吞咽不适发生率[OR=0.43,95%CI(0.21,0.90),P=0.03]方面均优于对照组,差异有显著性意义;在手术出血量、住院时间、术后日本骨科协会评分、术后目测类比评分、术后颈椎功能障碍指数(术后6个月、末次随访)、椎体融合率方面,两组差异无显著性意义(P>0.05)。结论:与传统钛笼相比,3D打印人工椎体在提高手术效率、维持术后椎间隙高度、减少术后吞咽不适发生率及假体塌陷率方面具有明显优势。展开更多
文摘This research pioneers the integration of geographic information systems(GIS)and 3D modeling within a virtual reality(VR)framework to assess the viability and planning of a 20 MW hybrid wind-solarphotovoltaic(PV)system connected to the local grid.The study focuses on Dakhla,Morocco,a region with vast untapped renewable energy potential.By leveraging GIS,we are innovatively analyzing geographical and environmental factors that influence optimal site selection and system design.The incorporation of VR technologies offers an unprecedented level of realism and immersion,allowing stakeholders to virtually experience the project's impact and design in a dynamic,interactive environment.This novel methodology includes extensive data collection,advanced modeling,and simulations,ensuring that the hybrid system is precisely tailored to the unique climatic and environmental conditions of Dakhla.Our analysis reveals that the region possesses a photovoltaic solar potential of approximately2400 k Wh/m^(2) per year,with an average annual wind power density of about 434 W/m^(2) at an 80-meter hub height.Productivity simulations indicate that the 20 MW hybrid system could generate approximately 60 GWh of energy per year and 1369 GWh over its 25-year lifespan.To validate these findings,we employed the System Advisor Model(SAM)software and the Global Solar Photovoltaic Atlas platform.This comprehensive and interdisciplinary approach not only provides a robust assessment of the system's feasibility but also offers valuable insights into its potential socio-economic and environmental impact.
基金funded by the Chinese State Grid Jiangsu Electric Power Co.,Ltd.Science and Technology Project Funding,Grant Number J2023031.
文摘Accurate vector extraction from design drawings is required first to automatically create 3D models from pixel-level engineering design drawings. However, this task faces the challenges of complicated design shapes as well as cumbersome and cluttered annotations on drawings, which interfere with the vector extraction heavily. In this article, the transmission tower containing the most complex structure is taken as the research object, and a semantic segmentation network is constructed to first segment the shape masks from the pixel-level drawings. Preprocessing and postprocessing are also proposed to ensure the stability and accuracy of the shape mask segmentation. Then, based on the obtained shape masks, a vector extraction network guided by heatmaps is designed to extract structural vectors by fusing the features from node heatmap and skeleton heatmap, respectively. Compared with the state-of-the-art methods, experiment results illustrate that the proposed semantic segmentation method can effectively eliminate the interference of many elements on drawings to segment the shape masks effectively, meanwhile, the model trained by the proposed vector extraction network can accurately extract the vectors such as nodes and line connections, avoiding redundant vector detection. The proposed method lays a solid foundation for automatic 3D model reconstruction and contributes to technological advancements in relevant fields.
基金supported by the fundings from 2024 Young Talents Program for Science and Technology Thinking Tanks(No.XMSB20240711041)2024 Student Research Program on Dynamic Simulation and Force-on-Force Exercise of Nuclear Security in 3D Interactive Environment Using Reinforcement Learning,Natural Science Foundation of Top Talent of SZTU(No.GDRC202407)+2 种基金Shenzhen Science and Technology Program(No.KCXFZ20240903092603005)Shenzhen Science and Technology Program(No.JCYJ20241202124703004)Shenzhen Science and Technology Program(No.KJZD20230923114117032)。
文摘Vulnerability assessment is a systematic process to identify security gaps in the design and evaluation of physical protection systems.Adversarial path planning is a widely used method for identifying potential vulnerabilities and threats to the security and resilience of critical infrastructures.However,achieving efficient path optimization in complex large-scale three-dimensional(3D)scenes remains a significant challenge for vulnerability assessment.This paper introduces a novel A^(*)-algorithmic framework for 3D security modeling and vulnerability assessment.Within this framework,the 3D facility models were first developed in 3ds Max and then incorporated into Unity for A^(*)heuristic pathfinding.The A^(*)-heuristic pathfinding algorithm was implemented with a geometric probability model to refine the detection and distance fields and achieve a rational approximation of the cost to reach the goal.An admissible heuristic is ensured by incorporating the minimum probability of detection(P_(D)^(min))and diagonal distance to estimate the heuristic function.The 3D A^(*)heuristic search was demonstrated using a hypothetical laboratory facility,where a comparison was also carried out between the A^(*)and Dijkstra algorithms for optimal path identification.Comparative results indicate that the proposed A^(*)-heuristic algorithm effectively identifies the most vulnerable adversarial pathfinding with high efficiency.Finally,the paper discusses hidden phenomena and open issues in efficient 3D pathfinding for security applications.
基金National Undergraduate Training Program for Innovation and Entrepreneurship(Project No.:202310407006)。
文摘Highway planning requires geological surveys and stability analysis of the surrounding area.In the early stage of the survey,the modeling and stability analysis of the survey area can be carried out by using GIS software to intuitively understand the topography of the study area.The use of DEM to extract terrain factors can be used for simple stability analysis and the source data is easy to obtain,simple to operate,fast to analyze,and reliable analysis results.In this paper,taking the X104 road section in Ganxian County as an example,the ArcGIS platform is used to carry out 3D modeling visualization and stability analysis,and the stability evaluation map of the study area is obtained.
文摘目的:近年来,许多学者将3D打印人工椎体应用于颈椎前路椎体次全切除植骨融合术中,但是与传统钛笼相比是否疗效更佳尚存争议。为此,拟系统评价3D打印人工椎体对比传统钛笼作为内植物应用于颈椎前路椎体次全切除植骨融合治疗颈椎病的有效性与安全性。方法:计算机检索CNKI、WangFang、CBM、VIP、PubMed、EMBASE、The Cochrane Library数据库,搜集各数据库建库至2025年2月有关3D打印人工椎体应用于颈椎前路椎体次全切除植骨融合的临床研究。筛选文献、提取资料并评价纳入研究的方法学质量后,采用Rev Man 5.4软件进行Meta分析。结果:①共纳入10篇文献,包含2篇前瞻性随机对照研究,6篇回顾性队列研究,2篇前瞻性队列研究,均为高质量研究;所纳入的文献共包含534例患者,其中3D打印组273例,对照组261例;②Meta分析结果显示:3D打印组在手术时间[SMD=-1.13,95%CI(-1.87,-0.39),P=0.003]、术后末次随访椎间隙丢失高度[SMD=-3.01,95%CI(-5.74,-0.29),P=0.03]、术后3个月颈椎功能障碍指数[SMD=-0.34,95%CI(-0.66,-0.03),P=0.03]、假体塌陷率[OR=0.19,95%CI(0.11,0.32),P<0.00001]、术后吞咽不适发生率[OR=0.43,95%CI(0.21,0.90),P=0.03]方面均优于对照组,差异有显著性意义;在手术出血量、住院时间、术后日本骨科协会评分、术后目测类比评分、术后颈椎功能障碍指数(术后6个月、末次随访)、椎体融合率方面,两组差异无显著性意义(P>0.05)。结论:与传统钛笼相比,3D打印人工椎体在提高手术效率、维持术后椎间隙高度、减少术后吞咽不适发生率及假体塌陷率方面具有明显优势。
