To optimize the self-organization network, self-adaptation, real-time monitoring, remote management capability, and equipment reuse level of the meteorological station supporting the portable groundwater circulation w...To optimize the self-organization network, self-adaptation, real-time monitoring, remote management capability, and equipment reuse level of the meteorological station supporting the portable groundwater circulation wells, and to provide real-time and effective technical services and environmental data support for groundwater remediation, a real-time monitoring system design of the meteorological station supporting the portable groundwater circulation wells based on the existing equipment is proposed. A variety of environmental element information is collected and transmitted to the embedded web server by the intelligent weather transmitter, and then processed by the algorithm and stored internally, displayed locally, and published on the web. The system monitoring algorithm and user interface are designed in the CNWSCADA development environment to realize real-time processing and analysis of environmental data and monitoring, control, management, and maintenance of the system status. The PLC-controlled photovoltaic power generating panels and lithium battery packs are in line with the concept of energy saving and emission reduction, and at the same time, as an emergency power supply to guarantee the safety of equipment and data when the utility power fails to meet the requirements. The experiment proves that the system has the characteristics of remote control, real-time interaction, simple station deployment, reliable operation, convenient maintenance, and green environment protection, which is conducive to improving the comprehensive utilization efficiency of various types of environmental information and providing reliable data support, theoretical basis and guidance suggestions for the research of groundwater remediation technology and its disciplines, and the research and development of the movable groundwater cycling well monitoring system.展开更多
Background In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D onli...Background In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D online tourism, Web3D online architecture, Web3D online education environment, Web3D online medical care, and Web3D online shopping are examples of these applications that leverage 3D rendering on the web. These applications have pushed the boundaries of traditional web applications that use text, sound, image, video, and 2D animation as their main communication media, and resorted to 3D virtual scenes as the main interaction object, enabling a user experience that delivers a strong sense of immersion. This paper approached the emerging Web3D applications that generate stronger impacts on people's lives through “real-time rendering technology”, which is the core technology of Web3D. This paper discusses all the major 3D graphics APIs of Web3D and the well-known Web3D engines at home and abroad and classify the real-time rendering frameworks of Web3D applications into different categories. Results Finally, this study analyzed the specific demand posed by different fields to Web3D applications by referring to the representative Web3D applications in each particular field. Conclusions Our survey results show that Web3D applications based on real-time rendering have in-depth sectors of society and even family, which is a trend that has influence on every line of industry.展开更多
There are many bottlenecks that limit the computing power of the Mobile Web3 D and they need to be solved before implementing a public fire evacuation system on this platform.In this study,we focus on three key proble...There are many bottlenecks that limit the computing power of the Mobile Web3 D and they need to be solved before implementing a public fire evacuation system on this platform.In this study,we focus on three key problems:(1)The scene data for large-scale building information modeling(BIM)are huge,so it is difficult to transmit the data via the Internet and visualize them on the Web;(2)The raw fire dynamic simulator(FDS)smoke diffusion data are also very large,so it is extremely difficult to transmit the data via the Internet and visualize them on the Web;(3)A smart artificial intelligence fire evacuation app for the public should be accurate and real-time.To address these problems,the following solutions are proposed:(1)The large-scale scene model is made lightweight;(2)The amount of dynamic smoke is also made lightweight;(3)The dynamic obstacle maps established from the scene model and smoke data are used for optimal path planning using a heuristic method.We propose a real-time fire evacuation system based on the ant colony optimization(RFES-ACO)algorithm with reused dynamic pheromones.Simulation results show that the public could use Mobile Web3 D devices to experience fire evacuation drills in real time smoothly.The real-time fire evacuation system(RFES)is efficient and the evacuation rate is better than those of the other two algorithms,i.e.,the leader-follower fire evacuation algorithm and the random fire evacuation algorithm.展开更多
Real-time geospatial information is used in various applications such as risk management or alerting services.Especially,the rise of new sensing technologies also increases the demand for processing the data in real t...Real-time geospatial information is used in various applications such as risk management or alerting services.Especially,the rise of new sensing technologies also increases the demand for processing the data in real time.Today’s spatial data infrastructures,however,do not meet the requirements for real-time geoprocessing.The OpenGIS®Web Processing Service(WPS)is not designed to process real-time workflows.It has some major drawbacks in asynchronous processing and cannot handle(geo)data streams out of the box.In previous papers,we introduced the GeoPipes approach to share spatiotemporal data in real time.We implemented the concept extending the Message Queue and Telemetry Transport(MQTT)protocol by a spatial and temporal dimension,which we call GeoMQTT.In this paper,we demonstrate the integration of the GeoPipes idea in the WPS interface to expose standardized real-time geoprocessing services.The proof of the concept is illustrated in some exemplary real-time geo processes.展开更多
For geospatial cyberinfrastructure-enabled web services,the ability of rapidly transmitting and sharing spatial data over the Internet plays a critical role to meet the demands of real-time change detection,response a...For geospatial cyberinfrastructure-enabled web services,the ability of rapidly transmitting and sharing spatial data over the Internet plays a critical role to meet the demands of real-time change detection,response and decision-making.Especially for vector datasets which serve as irreplaceable and concrete material in data-driven geospatial applications,their rich geometry and property information facilitates the development of interactive,efficient and intelligent data analysis and visualization applications.However,the big-data issues of vector datasets have hindered their wide adoption in web services.In this research,we propose a comprehensive optimization strategy to enhance the performance of vector data transmitting and processing.This strategy combines:(1)pre-and on-the-fly generalization,which automatically determines proper simplification level through the introduction of appropriate distance tolerance speed up simplification efficiency;(2)a progressive attribute transmission method to reduce data size and,therefore,the service response time;(3)compressed data transmission and dynamic adoption of a compression method to maximize the service efficiency under different computing and network environments.A cyberinfrastructure web portal was developed for implementing the proposed technologies.After applying our optimization strategies,substantial performance enhancement is achieved.We expect this work to facilitate real-time spatial feature sharing,visual analytics and decision-making.展开更多
文摘To optimize the self-organization network, self-adaptation, real-time monitoring, remote management capability, and equipment reuse level of the meteorological station supporting the portable groundwater circulation wells, and to provide real-time and effective technical services and environmental data support for groundwater remediation, a real-time monitoring system design of the meteorological station supporting the portable groundwater circulation wells based on the existing equipment is proposed. A variety of environmental element information is collected and transmitted to the embedded web server by the intelligent weather transmitter, and then processed by the algorithm and stored internally, displayed locally, and published on the web. The system monitoring algorithm and user interface are designed in the CNWSCADA development environment to realize real-time processing and analysis of environmental data and monitoring, control, management, and maintenance of the system status. The PLC-controlled photovoltaic power generating panels and lithium battery packs are in line with the concept of energy saving and emission reduction, and at the same time, as an emergency power supply to guarantee the safety of equipment and data when the utility power fails to meet the requirements. The experiment proves that the system has the characteristics of remote control, real-time interaction, simple station deployment, reliable operation, convenient maintenance, and green environment protection, which is conducive to improving the comprehensive utilization efficiency of various types of environmental information and providing reliable data support, theoretical basis and guidance suggestions for the research of groundwater remediation technology and its disciplines, and the research and development of the movable groundwater cycling well monitoring system.
基金the Science and Technology Program of Educational Commission of Jiangxi Province,China(DA202104172)the Innovation and Entrepreneurship Course Program of Nanchang Hangkong University(KCPY1910)the Teaching Reform Research Program of Nanchang Hangkong University(JY21040).
文摘Background In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D online tourism, Web3D online architecture, Web3D online education environment, Web3D online medical care, and Web3D online shopping are examples of these applications that leverage 3D rendering on the web. These applications have pushed the boundaries of traditional web applications that use text, sound, image, video, and 2D animation as their main communication media, and resorted to 3D virtual scenes as the main interaction object, enabling a user experience that delivers a strong sense of immersion. This paper approached the emerging Web3D applications that generate stronger impacts on people's lives through “real-time rendering technology”, which is the core technology of Web3D. This paper discusses all the major 3D graphics APIs of Web3D and the well-known Web3D engines at home and abroad and classify the real-time rendering frameworks of Web3D applications into different categories. Results Finally, this study analyzed the specific demand posed by different fields to Web3D applications by referring to the representative Web3D applications in each particular field. Conclusions Our survey results show that Web3D applications based on real-time rendering have in-depth sectors of society and even family, which is a trend that has influence on every line of industry.
基金Project supported by the Key Research Projects of the Central University of Basic Scientific Research Funds for Cross Cooperation,China(No.201510-02)the Research Fund for the Doctoral Program of Higher Education,China(No.2013007211-0035)the Key Project in Science and Technology of Jilin Province,China(No.20140204088GX)
文摘There are many bottlenecks that limit the computing power of the Mobile Web3 D and they need to be solved before implementing a public fire evacuation system on this platform.In this study,we focus on three key problems:(1)The scene data for large-scale building information modeling(BIM)are huge,so it is difficult to transmit the data via the Internet and visualize them on the Web;(2)The raw fire dynamic simulator(FDS)smoke diffusion data are also very large,so it is extremely difficult to transmit the data via the Internet and visualize them on the Web;(3)A smart artificial intelligence fire evacuation app for the public should be accurate and real-time.To address these problems,the following solutions are proposed:(1)The large-scale scene model is made lightweight;(2)The amount of dynamic smoke is also made lightweight;(3)The dynamic obstacle maps established from the scene model and smoke data are used for optimal path planning using a heuristic method.We propose a real-time fire evacuation system based on the ant colony optimization(RFES-ACO)algorithm with reused dynamic pheromones.Simulation results show that the public could use Mobile Web3 D devices to experience fire evacuation drills in real time smoothly.The real-time fire evacuation system(RFES)is efficient and the evacuation rate is better than those of the other two algorithms,i.e.,the leader-follower fire evacuation algorithm and the random fire evacuation algorithm.
文摘Real-time geospatial information is used in various applications such as risk management or alerting services.Especially,the rise of new sensing technologies also increases the demand for processing the data in real time.Today’s spatial data infrastructures,however,do not meet the requirements for real-time geoprocessing.The OpenGIS®Web Processing Service(WPS)is not designed to process real-time workflows.It has some major drawbacks in asynchronous processing and cannot handle(geo)data streams out of the box.In previous papers,we introduced the GeoPipes approach to share spatiotemporal data in real time.We implemented the concept extending the Message Queue and Telemetry Transport(MQTT)protocol by a spatial and temporal dimension,which we call GeoMQTT.In this paper,we demonstrate the integration of the GeoPipes idea in the WPS interface to expose standardized real-time geoprocessing services.The proof of the concept is illustrated in some exemplary real-time geo processes.
基金a National Science Foundation(NSF)CAREER award BCS-1455349,an NSF award PLR-1504432,and an OGC Testbed13 grant.
文摘For geospatial cyberinfrastructure-enabled web services,the ability of rapidly transmitting and sharing spatial data over the Internet plays a critical role to meet the demands of real-time change detection,response and decision-making.Especially for vector datasets which serve as irreplaceable and concrete material in data-driven geospatial applications,their rich geometry and property information facilitates the development of interactive,efficient and intelligent data analysis and visualization applications.However,the big-data issues of vector datasets have hindered their wide adoption in web services.In this research,we propose a comprehensive optimization strategy to enhance the performance of vector data transmitting and processing.This strategy combines:(1)pre-and on-the-fly generalization,which automatically determines proper simplification level through the introduction of appropriate distance tolerance speed up simplification efficiency;(2)a progressive attribute transmission method to reduce data size and,therefore,the service response time;(3)compressed data transmission and dynamic adoption of a compression method to maximize the service efficiency under different computing and network environments.A cyberinfrastructure web portal was developed for implementing the proposed technologies.After applying our optimization strategies,substantial performance enhancement is achieved.We expect this work to facilitate real-time spatial feature sharing,visual analytics and decision-making.