WO2014048044A1 - 一种遥感数据远程云处理系统及方法 - Google Patents
一种遥感数据远程云处理系统及方法 Download PDFInfo
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- WO2014048044A1 WO2014048044A1 PCT/CN2012/087948 CN2012087948W WO2014048044A1 WO 2014048044 A1 WO2014048044 A1 WO 2014048044A1 CN 2012087948 W CN2012087948 W CN 2012087948W WO 2014048044 A1 WO2014048044 A1 WO 2014048044A1
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- Prior art keywords
- remote sensing
- sensing data
- application software
- remote
- cloud
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Definitions
- the invention relates to the technical field related to remote sensing data processing, in particular to a remote cloud data processing system and method for remote sensing data. Background technique
- remote sensing data has the characteristics of fast acquisition and update, wide coverage, diversified data sources, various data types, and multi-scale image resolution, it leads to the status quo of large remote sensing image data files and massive remote sensing data files.
- Massive remote sensing data puts a lot of pressure on the use of storage, management, retrieval and transmission, making the utilization of remote sensing data low.
- remote sensing data acquisition is difficult, technically difficult, and costly, resulting in high cost of purchasing data, which greatly restricts the research, application and popularization of remote sensing technology.
- the performance requirements of workstations used for remote sensing data processing are high, resulting in large investment in scientific research and application and long construction period.
- the development of remote sensing application software is difficult, professional, and expensive, which leads to high purchase cost of remote sensing application software and difficulty in installation and deployment. All of the above reasons restrict the popularization and application of remote sensing information and the development of the industry. Summary of the invention
- the invention provides a remote cloud data processing system and method for remote sensing data, which solves the technical problem that the performance of the workstation used for remote sensing data processing in the prior art is high, the development of the remote sensing application software is difficult, the professionalism is high, the cost is high, and the installation and deployment are difficult. .
- a remote sensing data remote cloud processing system comprising:
- the remote sensing resource display module is configured to display a plurality of remote sensing data snapshots and application software snapshots, wherein the remote sensing data snapshots are used to identify remote sensing data stored in the remote sensing cloud storage module, and the application software snapshot is used to identify the remote sensing cloud operations.
- Application software in the module is configured to display a plurality of remote sensing data snapshots and application software snapshots, wherein the remote sensing data snapshots are used to identify remote sensing data stored in the remote sensing cloud storage module, and the application software snapshot is used to identify the remote sensing cloud operations.
- Remote sensing cloud storage module for storing remote sensing data
- a remote sensing cloud operation module for establishing a virtual machine including remote sensing data and application software.
- the remote sensing resource display module includes:
- a remote sensing data snapshot display unit configured to display a plurality of remote sensing data snapshots after receiving the user's login information
- the remote sensing data snapshot sending unit is configured to receive a snapshot of the remote sensing data selected by the user, and send the data to the remote sensing cloud storage module;
- An application software snapshot display unit configured to display multiple application software snapshots
- the application software snapshot sending unit is configured to receive a snapshot of the application software selected by the user, and send the snapshot to the remote sensing cloud operation module.
- the remote sensing cloud operation module provides a secure and efficient distributed storage system for storing and managing massive remote sensing data, including: An application software extracting unit, configured to extract application software identified by the application software snapshot selected by the user as the user application software;
- a virtual machine establishing unit configured to establish a virtual machine including user remote sensing data and user application software; and a virtual machine operating unit, configured to receive a remote operation of the virtual machine by the user.
- the virtual machine establishing unit includes:
- the virtual machine image acquisition subunit is configured to obtain a virtual machine image file.
- the application software injection sub-unit is configured to inject application software into the obtained virtual machine image file;
- the virtual machine startup sub-unit is configured to start a virtual machine image file injected into the application software;
- the virtual machine mounting subunit is used to mount remote sensing data of the remote sensing cloud storage module.
- the remote sensing resource display module displays a snapshot of the remote sensing data in a visual manner. Further, the displaying the remote sensing data snapshot in a visual manner is:
- Remote sensing data snapshots are displayed in real time using web mapping services, network element services and network coverage services that comply with the standards of the Open GIS Association.
- the remote sensing cloud storage module uses a distributed file system to store remote sensing data.
- the remote sensing cloud storage module includes:
- a data storage server for storing remote sensing data.
- the remote sensing data is first divided into blocks, and then the blocks are stored as a copy on the data storage server;
- a metadata log server for backing up the change log file of the primary metadata server
- Client computer used to mount the file system to read and write files.
- a remote cloud processing method for remote sensing data which uses the above remote sensing data remote cloud processing system for remote sensing data processing, including:
- the remote sensing resource display module receives the user's login information, and the remote sensing resource display module displays a plurality of remote sensing data snapshots, wherein the remote sensing data snapshot is used to identify the remote sensing data stored in the remote sensing cloud storage module;
- the remote sensing resource display module receives the remote sensing data selected by the user
- the data snapshot is sent to the remote sensing cloud storage module, and the remote sensing cloud storage module extracts the remote sensing data identified by the snapshot of the remote sensing data selected by the user as the user remote sensing data;
- the remote sensing resource display module displays an application software snapshot, where the application software snapshot is used to identify application software stored in the remote sensing cloud operation module;
- the remote sensing resource display module receives the application software snapshot selected by the user and sends it to the remote sensing cloud operation module, and the remote sensing cloud operation module extracts the application software identified by the application software snapshot selected by the user as the user application software;
- the remote sensing cloud operation module establishes a virtual machine including user remote sensing data and user application software, and receives remote operation of the virtual machine by the user.
- the remote sensing cloud operation module establishes a virtual machine including user remote sensing data and user application software, and specifically includes:
- the invention provides an on-demand deployment and service technology for virtual machine integrated with remote sensing data and application software, and uses a cloud computing technology based on a computing model of a resource sharing pool to form a resource pool for hardware storage, computing, network and software integration, through virtual
- the technology implements unified scheduling of resources, and at the same time, unified management and secure backup of remote sensing data through distributed storage systems.
- Remote sensing data, application software, and metering Counting resources into measurable services similar to public facilities (such as water, electricity, etc.), on demand
- Figure 1 is a system structure diagram
- FIG. 2 shows the operation flow chart.
- FIG. 1 is a schematic diagram of a remote sensing data cloud processing system according to an embodiment of the present invention, including:
- the remote sensing resource display module 110 is configured to display a plurality of remote sensing data snapshots and application software snapshots, where the remote sensing data snapshots are used to identify remote sensing data stored in the remote sensing cloud storage module, and the application software snapshot is used to identify the remote sensing cloud.
- a remote sensing cloud storage module 120 configured to store remote sensing data
- the remote sensing cloud operation module 130 is configured to establish a virtual machine including remote sensing data and application software.
- the remote sensing resource display module 110 provides a rapid mass, multi-resolution, multi-source, multi-temporal remote sensing data browsing and retrieval service, and provides a visual data retrieval service platform.
- the remote sensing resource display module is based on the open source GIS server GeoServer, which provides WMS services (Web map service) and WFS services (Web) in compliance with the OGC (Open GIS Consortium) standard.
- the feature service) and the WCS service Web coverage service
- Use GeoWebCache to cache tile pyramid data of remote sensing image data, improve the browsing efficiency of GeoServer to release remote sensing image data, reduce user request waiting time, and improve user experience.
- the presentation layer realizes the remote sensing image data in the browser through the OpenLayers framework, and realizes the effects of dragging and zooming in the remote sensing image data.
- the remote sensing resource display module 110 includes:
- the remote sensing data snapshot display unit 111 is configured to display a plurality of remote sensing data snapshots after receiving the login information of the user;
- the remote sensing data snapshot sending unit 112 is configured to receive a snapshot of the remote sensing data selected by the user, and send the snapshot to the remote sensing cloud storage module;
- An application software snapshot display unit 113 configured to display multiple application software snapshots
- the application software snapshot sending unit 114 is configured to receive a snapshot of the application software selected by the user, and send the snapshot to the remote sensing cloud operation module.
- the remote sensing cloud storage module 120 provides a secure and efficient distributed storage system for storing and managing massive remote sensing data.
- the remote sensing cloud storage module 120 adopts a distributed storage architecture technology, specifically a MooseFS distributed storage architecture technology, and supports 4 to 500 server storage clusters, and is composed of a primary metadata server 121 (master ) and a metadata log server 122 ( metalogger ).
- the data storage server 123 (chunkserver) and the client computer 124 are composed of.
- the main metadata server 121 is responsible for managing the management file system throughout the system; the data storage server 123 stores data, and when storing the files, the files are first divided into blocks, and then the blocks are stored as copies in the data storage server 123; the metadata log server 122 is responsible for The change log file of the primary metadata server 121 is backed up to facilitate the work when the primary metadata server 121 has a problem; the client computer 124 hooks up the MFS file system to read and write files.
- Remote sensing image data and tile pyramid data are stored in the MoosFS system. Large files of remote sensing images are divided into small files, which are stored in different chunkservers for parallel read and write operations, making full use of the hard disk read and write speed of the nodes.
- the virtual machine of the remote sensing cloud operation module directly operates the remote sensing image data in the MFS system by mounting the MFS system, thereby realizing the integrated service of data and software applications.
- the remote sensing cloud operation module 130 adopts an OpenStack cloud operating system management platform, and the composition thereof includes a cloud organization controller OpenStackCompute (Nova), an extensible object storage system OpenStackObjectStorage (Swift), and a virtual machine image storage management system OpenStacklmageService (Glance). Virtualization technology re-allocates and manages physical resources such as CPU, memory, hard disk, and network, and supports virtual machines such as KVM and XEN.
- the Remote Sensing Cloud Operation Module is responsible for the generation, startup, shutdown, and suspension of virtual machines, providing users with on-demand virtual machine services.
- the remote sensing cloud operation module provides remote access methods such as VNC, RDP, and SPICE to access virtual machines.
- the remote sensing cloud operation module injects the software file into the image, and starts the virtual machine.
- the software can be accessed using the remote access provided by the provided virtual machine.
- the remote sensing cloud operation module 130 includes:
- the application software extracting unit 131 is configured to extract application software identified by the application software snapshot selected by the user as the user application software;
- the virtual machine establishing unit 132 is configured to establish a virtual reality including the user remote sensing data and the user application software.
- the virtual machine operating unit 133 is configured to receive a remote operation of the virtual machine by the user.
- the virtual machine establishing unit 132 includes:
- the virtual machine image acquisition subunit is configured to obtain a virtual machine image file.
- the application software injection sub-unit is configured to inject application software into the obtained virtual machine image file;
- the virtual machine startup sub-unit is configured to start a virtual machine image file injected into the application software;
- the virtual machine mounting subunit is used to mount remote sensing data of the remote sensing cloud storage module.
- FIG. 1 An example of an embodiment of the present invention is shown in FIG. 1
- the remote sensing resource display module receives the user's login information, and the user browses the remote sensing data snapshot through the map browsing manner, selects the corresponding product and the retrieval condition, and retrieves the remote sensing data; the remote sensing resource display module passes the corresponding remote sensing data snapshot through the visual method (WMS service) quickly. Displaying on the user window, and providing related attribute information of the retrieved remote sensing data snapshot, wherein the remote sensing data snapshot is used to identify the remote sensing data stored in the remote sensing cloud storage module;
- WMS service visual method
- the user selects a snapshot of the remote sensing data to be processed; the remote sensing resource display module receives the snapshot of the remote sensing data selected by the user and sends it to the remote sensing cloud storage module, and the remote sensing cloud storage module extracts the remote sensing data identified by the snapshot of the remote sensing data selected by the user as the user remote sensing.
- the remote sensing resource display module displays an application software snapshot, where the application software snapshot is used to identify application software stored in the remote sensing cloud operation module;
- the user selects software that needs to process the data
- the remote sensing resource display module receives the application software snapshot selected by the user and sends it to the remote sensing cloud operation module, and the remote sensing cloud operation module extracts the application software identified by the application software snapshot selected by the user as User application software;
- the remote sensing cloud operation module establishes a virtual machine including user remote sensing data and user application software, and receives remote operation of the virtual machine by the user;
- the user remotely logs in to the virtual machine through the terminal (computer or handheld device) for data processing.
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CN201210372945.7A CN102904944B (zh) | 2012-09-29 | 2012-09-29 | 一种遥感数据远程云处理系统及方法 |
CN201210372945.7 | 2012-09-29 |
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WO2014048044A1 true WO2014048044A1 (zh) | 2014-04-03 |
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Families Citing this family (14)
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CN103108045B (zh) * | 2013-02-06 | 2015-10-21 | 浙江大学 | 基于云架构的Web地图服务实现方法 |
CN103281351B (zh) * | 2013-04-19 | 2016-12-28 | 武汉方寸科技有限公司 | 一种高效能遥感数据处理与分析的云服务平台 |
CN103281376B (zh) * | 2013-05-31 | 2015-11-11 | 武汉大学 | 一种云环境下海量时序遥感影像的自动缓存构建方法 |
CN103491185B (zh) * | 2013-09-25 | 2016-05-18 | 浙江大学 | 一种基于影像块组织的遥感数据云存储方法 |
CN103747064B (zh) * | 2013-12-26 | 2017-06-20 | 广东中科遥感技术有限公司 | 基于MooseFS分布文件系统的挂载方法、客户端及系统 |
CN103729223A (zh) * | 2013-12-31 | 2014-04-16 | 曙光云计算技术有限公司 | Paas平台的快速部署应用的方法和系统 |
CN104702624A (zh) * | 2015-03-27 | 2015-06-10 | 深圳市研唐科技有限公司 | 基于CloudStack平台虚拟机登录方法及系统 |
CN105160022A (zh) * | 2015-09-29 | 2015-12-16 | 北京全景天地科技有限公司 | 云影像挖掘解译系统 |
CN105608191A (zh) * | 2015-12-23 | 2016-05-25 | 云南电网有限责任公司 | 一种基于EnersunWebCache动态生成缓存电网地图瓦片的方法 |
CN106453618A (zh) * | 2016-11-15 | 2017-02-22 | 西安中科空间信息技术有限公司 | 基于G‑Cloud云计算的遥感图像处理服务云平台系统 |
CN107453803B (zh) * | 2017-09-20 | 2018-08-10 | 中城泰信(苏州)科技发展股份有限公司 | 一种遥感云核的异常核查方法 |
CN111737653B (zh) * | 2020-08-05 | 2020-12-01 | 航天宏图信息技术股份有限公司 | 一种基于遥感数据处理能力的授权控制方法和装置 |
CN112217556A (zh) * | 2020-09-30 | 2021-01-12 | 广州中海电信有限公司 | 一种基于云计算平台的多种卫星数据的处理系统及方法 |
CN115982777B (zh) * | 2023-02-13 | 2023-10-03 | 西安大地测绘股份有限公司 | 私有云下面向移动端的地理信息数据安全使用系统及方法 |
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CN202261557U (zh) * | 2011-06-27 | 2012-05-30 | 谈天霆 | 数码相机通过无线wifi技术使用云存储的系统 |
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US7546486B2 (en) * | 2006-08-28 | 2009-06-09 | Bycast Inc. | Scalable distributed object management in a distributed fixed content storage system |
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CN102253939A (zh) * | 2010-05-17 | 2011-11-23 | 无锡艾斯科软件有限公司 | 一种基于云计算技术的搜索方法及系统 |
CN202261557U (zh) * | 2011-06-27 | 2012-05-30 | 谈天霆 | 数码相机通过无线wifi技术使用云存储的系统 |
CN102404395A (zh) * | 2011-11-10 | 2012-04-04 | 浪潮电子信息产业股份有限公司 | 一种基于云计算的移动终端多操作系统切换方法 |
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