CN108832986B - Multisource data management and control platform based on world integration - Google Patents
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Abstract
The invention discloses a multi-source data management and control platform based on world integration, which comprises: the system comprises a space-based network, a near-earth network, a manual exploration module, a multi-source data acquisition module, a multi-source data fusion module, a detection task release module and a display module, wherein the management and control platform acquires satellite remote sensing data, ground data of unmanned aerial vehicle aerial photography and ground data of manual surveying; including the following services: fusing the satellite remote sensing data to establish an urban map; marking according to the ground data of the unmanned aerial vehicle aerial photography and the corresponding coordinate position on the map; automatically identifying the ground data acquired based on the unmanned aerial vehicle, and comparing the ground data with the same type of ground data of manual survey; mining based on satellite remote sensing data, and issuing a short-distance surveying task of a specified position, wherein the short-distance surveying task comprises the following steps: and issuing an automatic detection task of the designated geographic coordinate to the unmanned aerial vehicle, and issuing an artificial detection task of the designated coordinate to the mobile terminal.
Description
Technical Field
The invention belongs to the technical field of information networks, and particularly relates to a multi-source data acquisition and fusion platform based on world integration.
Background
The heaven-earth integrated information network is a technological innovation project, and the remote sensing data of the satellite is an important component of the heaven-earth based data. Every object on the earth absorbs, reflects and emits electromagnetic waves anytime and anywhere, and remote sensing equipment acquires remote sensing data, information, images and the like based on the principle. Currently, aerospace remote sensing is developing towards "three more" (multi-sensor, multi-platform, multi-angle) and "four high" (high spatial resolution, high spectral resolution, high radiation resolution and high temporal resolution). The low-altitude aerial photography of the unmanned aerial vehicle is used as a new space-based data acquisition and sensing means and is applied more and more widely since the low-altitude airspace of China is open, the cost is low when the unmanned aerial vehicle is used for aerial photography, and data and information can be rapidly and real-timely sent to a base station.
Because the space-ground integrated data volume acquired by satellite remote sensing and unmanned aerial vehicles is huge and the updating speed is high, how to reasonably utilize the data and how to effectively fuse and process the data is an important problem to meet the requirements of various research and application services. Although there are some related methods for image processing and fusion, there is no platform that can provide online service, and there is no means for actively acquiring missing data.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a multi-source data management and control platform based on integration of heaven and earth to meet the requirements of related services.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides a multisource data management and control platform based on integration of heaven and earth, its characterized in that includes: a space-based network, a near-earth network, a multi-source data acquisition module, a multi-source data fusion module, a detection task issuing module and a display module, wherein,
the space-based network is used for collecting satellite remote sensing data,
the near-ground network is used for acquiring ground data of aerial photography of the unmanned aerial vehicle;
the multi-source data acquisition module is used for acquiring satellite remote sensing data, ground data of unmanned aerial vehicle aerial photography and ground data of artificial exploration;
the multi-source data fusion module is used for classifying according to cities according to satellite remote sensing data, ground data of aerial photography of the unmanned aerial vehicle and manually detected ground data, fusing data from different sources in the same time period to construct an urban map, and sending the urban map to the display module;
the detection task issuing module is used for issuing a short-distance survey task at a specified position and comprises: and issuing an automatic detection task of the designated geographic coordinate to the unmanned aerial vehicle, and issuing an artificial detection task of the designated coordinate to the mobile terminal.
Preferably, the space-based network comprises: the remote sensing communication satellite is used for acquiring satellite remote sensing data, the satellite remote sensing data faces the whole city, and geographic information of a preset range in the city is acquired; the satellite remote sensing data is Landsat remote sensing satellite data, satellite data of a Chinese academy geospatial data cloud, satellite data of a Google earth platform, and satellite data of a Digital Global platform.
Preferably, the ground proximity network comprises an unmanned aerial vehicle, and the unmanned aerial vehicle is used for facing ground objects in a ground preset coordinate range to obtain ground pictures or videos; the management platform builds a server based on a socket, an NB-IOT communication module is loaded in the unmanned aerial vehicle, the management platform is accessed in a socket client form, and data are uploaded, wherein the data uploading comprises the following steps: time stamp, height coordinate information of shooting place position, ground picture or video.
Preferably, the ground data of the artificial exploration is ground pictures or videos shot in close range in the field manually; and sending the current geographic coordinate positioning information of the mobile phone and the acquired picture or video to the management platform in a socket client form through the mobile terminal equipment.
Preferably, the construction of the urban map is specifically divided into: unmanned aerial vehicle aerial photography marking and manual detection picture identification; wherein, unmanned aerial vehicle mark of taking photo by plane specifically is: the multisource data fusion module initially delimits a detection range according to a coordinate offset range based on geographical coordinate information attached to the information according to a ground picture or video aerial photographed by the unmanned aerial vehicle; then, extracting ground feature information from the ground picture or video, and establishing an aerial photography sketch; finally, comparing the aerial photography sketch with the city sketch in the preliminarily defined range to obtain accurate positioning, marking the map, and uploading acquired NB-IOT real-time information;
the manual detection picture identification specifically comprises the following steps: the multi-source data fusion module firstly corrects the ground data according to the geographic coordinates, determines that the detected object is accurate to be a main radius range and a detected radius range, and searches and compares aerial photography sketch maps in the range; then, classifying types according to the characteristics of the detected object; and finally, searching all object objects of the same type in the corresponding aerial photography sketch, comparing the characteristics, and determining the accurate classification of the detected objects.
Preferably, the automatic detection task of the unmanned aerial vehicle is as follows: the detection task issuing module issues a detection task to a designated unmanned aerial vehicle or a cluster, wherein the detection task comprises designated location geographical position coordinate information, cruise altitude, cruise radius, shooting frequency and shooting times; after receiving the detection message, the unmanned aerial vehicle automatically flies to a specified place, determines the cruising position of the unmanned aerial vehicle according to the cruising height and the radius, and takes pictures according to the specified shooting frequency and times; and simultaneously transmitting the data to the display module.
Preferably, the manual survey task is: the detection task issuing module sends detection place and detection target information to a specified user of the mobile terminal equipment, and after the user finishes a survey task, the acquired ground picture or video is shot and uploaded to the display module.
Preferably, the platform is a big data fusion and management platform built based on hadoop.
The multi-source data management and control platform comprises: the system comprises a space-based network, a near-earth network, a manual exploration module, a multi-source data acquisition module, a multi-source data fusion module, a detection task release module and a display module, wherein the management and control platform acquires satellite remote sensing data, ground data of aerial photography of an unmanned aerial vehicle and ground data of manual survey; including the following services: fusing the satellite remote sensing data to establish an urban map; marking according to the ground data of the unmanned aerial vehicle aerial photography and the corresponding coordinate position on the map; automatically identifying the ground data acquired based on the unmanned aerial vehicle, and comparing the ground data with the same type of ground data of manual survey; mining based on satellite remote sensing data, and issuing a short-distance surveying task of a specified position, wherein the short-distance surveying task comprises the following steps: and issuing an automatic detection task of the designated geographic coordinate to the unmanned aerial vehicle, and issuing an artificial detection task of the designated coordinate to the mobile terminal.
Drawings
Fig. 1 is a schematic structural diagram of a multi-source data management and control platform based on integration of heaven and earth.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
The invention provides a multi-source data management and control platform based on space-ground integration, which is used for acquiring space-based data, near-ground data and ground data of artificial exploration, wherein the space-based data is satellite remote sensing data acquired by a satellite, and the near-ground data is ground data of aerial photography of an unmanned aerial vehicle; the following functions are provided:
1. fusing the satellite remote sensing data to establish an urban map;
2. marking according to the ground data of the unmanned aerial vehicle aerial photography and the corresponding coordinate position on the map; automatically identifying the ground data acquired based on the unmanned aerial vehicle, and comparing the ground data with the same type of ground data of manual survey;
3. mining based on satellite remote sensing data, and issuing a short-distance surveying task of a specified position, wherein the short-distance surveying task comprises the following steps: the method comprises the steps of issuing an automatic detection task of an appointed geographic coordinate to an unmanned aerial vehicle, and issuing a manual detection task of the appointed coordinate to a mobile terminal (such as a mobile phone APP).
As shown in fig. 1, the present invention provides a multi-source data management and control platform based on world integration, where the platform is a big data fusion and management platform built based on hadoop, and the platform includes: a space-based network, a near-earth network, a multi-source data acquisition module, a multi-source data fusion module, a detection task issuing module and a display module, wherein,
the space-based network comprises: the remote sensing communication satellite is used for acquiring satellite remote sensing data, and the satellite remote sensing data faces the whole city to acquire large-range geographic information in the city; the satellite remote sensing data is Landsat remote sensing satellite data, satellite data of a Chinese academy geospatial data cloud, satellite data of a Google earth platform, and satellite data of a Digital Global platform. The control platform automatically acquires the satellite data and performs automatic classification and storage.
The ground proximity network comprises an unmanned aerial vehicle, and the unmanned aerial vehicle is used for facing ground objects in a certain coordinate range to the ground to obtain ground pictures or videos. The management platform builds a server based on a socket, an NB-IOT communication module is loaded in the unmanned aerial vehicle, the management platform is accessed in a socket client form, and data are uploaded, wherein the data uploading comprises the following steps: time stamp, height coordinate information of shooting place position, ground picture or video.
The multi-source data acquisition module is used for acquiring satellite remote sensing data, ground data of unmanned aerial vehicle aerial photography and ground data of manual surveying; the ground data of the artificial survey is data acquired by manual near field, such as: the ground picture or video is taken facing a specific object, such as a building, a water surface, a green space. Through mobile terminal equipment (for example, a mobile phone APP) and in a form of a socket client, current geographic coordinate positioning information of the mobile phone and collected pictures or videos are sent to the management platform.
And the multi-source data fusion module is used for classifying according to cities according to the satellite remote sensing data, the ground data of aerial photography of the unmanned aerial vehicle and the ground data of artificial exploration, fusing data from different sources in the same time period to construct a city map, and sending the city map to the display module.
The construction of the urban map is specifically divided into: unmanned aerial vehicle aerial photography marking and artificial detection picture identification.
Unmanned aerial vehicle mark of taking photo by plane specifically does:
the multisource data fusion module initially delimits a detection range according to a coordinate offset range based on geographical coordinate information attached to the information according to a ground picture or video aerial photographed by the unmanned aerial vehicle; and then, extracting ground feature information from the ground picture or video, such as: building, road and vegetation information, and establishing an aerial photography sketch; and finally, comparing the aerial photography sketch with the city sketch in the preliminarily defined range to obtain accurate positioning, marking the map, and uploading the acquired NB-IOT real-time information.
The manual detection picture identification specifically comprises the following steps:
the multi-source data fusion module firstly corrects the ground data according to the geographic coordinates, determines that the detected object is accurate to be a main radius range and a detected radius range, and searches and compares aerial photography sketch maps in the range; then, type classification is performed according to the detected object features, such as: buildings, roads, water surfaces, greenbelts; and finally, searching all object objects of the same type in the corresponding aerial photography sketch, comparing the characteristics, and determining the accurate classification of the detected objects.
Simultaneously, the following method is adopted for auxiliary treatment: (1) identifying and discarding abnormal data, (2) selecting data with the same source in the majority as the standard when data with different sources conflict, (3) discarding redundant information, and only retaining required information such as: streets, buildings, rivers, water surfaces, vegetation.
The detection task issuing module is used for issuing an automatic detection task and a manual detection task of the unmanned aerial vehicle;
the automatic detection task of the unmanned aerial vehicle is as follows: the detection task issuing module issues a detection task to a designated unmanned aerial vehicle or a cluster, wherein the detection task comprises designated location geographical position coordinate information, cruise altitude, cruise radius, shooting frequency and shooting times; after receiving the detection message, the unmanned aerial vehicle automatically flies to a specified place, determines the cruising position of the unmanned aerial vehicle according to the cruising height and the radius, and takes pictures according to the specified shooting frequency and times; and simultaneously transmitting the data to the display module.
And (3) manual survey tasks: the detection task issuing module sends detection place and detection target information to a specified user of mobile terminal equipment (such as a mobile phone APP), and after the user finishes a survey task, the collected ground picture or video is shot and uploaded to the display module.
Claims (4)
1. The utility model provides a multisource data management and control platform based on integration of heaven and earth, its characterized in that includes: a space-based network, a near-earth network, a multi-source data acquisition module, a multi-source data fusion module, a detection task issuing module and a display module, wherein,
the space-based network is used for collecting satellite remote sensing data,
the near-ground network is used for acquiring ground data of aerial photography of the unmanned aerial vehicle;
the multi-source data acquisition module is used for acquiring satellite remote sensing data, ground data of unmanned aerial vehicle aerial photography and ground data of artificial exploration;
the multi-source data fusion module is used for classifying according to cities according to satellite remote sensing data, ground data of aerial photography of the unmanned aerial vehicle and manually detected ground data, fusing data from different sources in the same time period to construct an urban map, and sending the urban map to the display module;
the detection task issuing module is used for issuing a short-distance survey task at a specified position and comprises: issuing an automatic detection task of an appointed geographic coordinate to the unmanned aerial vehicle, and issuing an artificial detection task of the appointed coordinate to the mobile terminal; wherein the content of the first and second substances,
the space-based network comprises: the remote sensing communication satellite is used for acquiring satellite remote sensing data, the satellite remote sensing data faces the whole city, and geographic information of a preset range in the city is acquired; the satellite remote sensing data is one of Landsat remote sensing satellite data, satellite data of geospatial data cloud of Chinese academy of sciences, satellite data of a Google earth platform and satellite data of a Digital Global platform;
the ground proximity network comprises an unmanned aerial vehicle, and the unmanned aerial vehicle is used for facing ground objects in a ground preset coordinate range to obtain ground pictures or videos; the management platform builds the server based on socket, loads NB-IOT communication module in the unmanned aerial vehicle to socket client form access management platform to upload data, upload data include: time stamp, height coordinate information of shooting place position, ground picture or video;
the ground data of the artificial exploration is ground pictures or videos shot in a close range in the field artificially; sending the current geographic coordinate positioning information of the mobile phone and the acquired picture or video to the management platform in a socket client form through mobile terminal equipment;
the construction of the urban map is specifically divided into: unmanned aerial vehicle aerial photography marking and manual detection picture identification; unmanned aerial vehicle mark of taking photo by plane specifically does: the multi-source data fusion module initially delimits a reconnaissance range according to a ground picture or video aerial-photographed by the unmanned aerial vehicle, based on geographical coordinate information attached to the ground picture or video information, and according to a coordinate offset range; then, extracting ground feature information from the ground picture or video, and establishing an aerial photography sketch; finally, comparing the aerial photography sketch with the city sketch in the preliminarily defined range to obtain accurate positioning, marking the map, and uploading acquired NB-IOT real-time information;
the manual detection picture identification specifically comprises the following steps: the multi-source data fusion module firstly corrects the ground data according to the geographic coordinate information, determines that the detected object is accurate to be a main radius range and a detected radius range, and searches and compares aerial photography sketch maps in the range; then, classifying types according to the characteristics of the detected object; and finally, searching all object objects of the same type in the corresponding aerial photography sketch, comparing the characteristics, and determining the accurate classification of the detected objects.
2. The multi-source data management and control platform based on integration of heaven and earth of claim 1, wherein the unmanned aerial vehicle automatic detection task is: the detection task issuing module issues a detection task to a designated unmanned aerial vehicle or a cluster, wherein the detection task comprises designated location geographical position coordinate information, cruise altitude, cruise radius, shooting frequency and shooting times; after receiving the detection message, the unmanned aerial vehicle automatically flies to a specified place, determines the cruising position of the unmanned aerial vehicle according to the cruising height and the radius, shoots photos according to the specified shooting frequency and times, and simultaneously transmits data to the display module.
3. The integrated universe-based multi-source data management and control platform of claim 1, wherein the manual survey tasks are: the detection task issuing module sends detection place and detection target information to a specified user of the mobile terminal equipment, and after the user finishes a survey task, the acquired ground picture or video is shot and uploaded to the display module.
4. The multi-source data management and control platform based on integration of heaven and earth as claimed in claim 1, wherein the platform is a management platform based on hadoop built big data fusion.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109781070A (en) * | 2019-01-25 | 2019-05-21 | 杨永超 | A kind of mapping new method of topographic map |
| EP3909040A4 (en) | 2019-03-08 | 2022-03-23 | SZ DJI Technology Co., Ltd. | Techniques for collaborative map construction between unmanned aerial vehicle and ground vehicle |
| EP3729402A4 (en) | 2019-03-08 | 2020-11-25 | SZ DJI Technology Co., Ltd. | Techniques for sharing mapping data between an unmanned aerial vehicle and a ground vehicle |
| CN111507394A (en) * | 2020-04-15 | 2020-08-07 | 中国科学院福建物质结构研究所 | Multi-domain spatial data fusion method and fusion device |
| CN111780797B (en) * | 2020-05-28 | 2022-04-08 | 中国人民解放军军事科学院国防科技创新研究院 | Simulation test device and method for space-air cooperative remote sensing system |
| CN111783556B (en) * | 2020-06-11 | 2022-02-18 | 中国人民解放军军事科学院国防科技创新研究院 | Multi-domain multi-source remote sensing information fusion system and method |
| CN112836728B (en) * | 2020-07-27 | 2021-12-28 | 盐城郅联空间科技有限公司 | Image interpretation method based on deep training model and image interpretation sample library |
| CN112146634B (en) * | 2020-10-29 | 2022-08-16 | 安徽璞石生态建设有限公司 | Mapping method based on municipal engineering |
| CN112769779A (en) * | 2020-12-28 | 2021-05-07 | 深圳壹账通智能科技有限公司 | Media resource transmission method and device |
| CN115827938B (en) * | 2023-02-20 | 2023-04-21 | 四川省煤田测绘工程院 | Homeland space planning data acquisition method, electronic equipment and computer readable medium |
| CN116132486B (en) * | 2023-04-13 | 2023-06-20 | 山东慧创信息科技有限公司 | Sky-ground integrated data acquisition system based on high precision of Internet of things |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014002018A1 (en) * | 2012-06-26 | 2014-01-03 | Ariel-University Research And Development Company, Ltd. | Methods and devices for improved position determination |
| CN105872413A (en) * | 2016-05-31 | 2016-08-17 | 成都德善能科技有限公司 | Intelligent aerial photographing system |
| CN107784633A (en) * | 2017-09-04 | 2018-03-09 | 黄仁杰 | Suitable for the unmanned plane image calibrating method of plane survey |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100269143A1 (en) * | 2009-04-21 | 2010-10-21 | Irving Rabowsky | System and Method for Satellite Enhanced Command, Control, and Surveillance Services Between Network Management Centers and Unmanned Land and Aerial Devices |
| CN102591351A (en) * | 2011-01-14 | 2012-07-18 | 北京航天慧海***仿真科技有限公司 | Three-dimensional space carbon emission monitoring system based on remote sensing, satellite positioning navigation and unmanned aerial vehicle |
| CN103366555B (en) * | 2013-07-01 | 2015-06-17 | 中国人民解放军第三军医大学第三附属医院 | Aerial image-based traffic accident scene image rapid generation method and system |
| CN104021586A (en) * | 2014-05-05 | 2014-09-03 | 深圳市城市管理监督指挥中心 | Air-ground integrated city ecological civilization managing system and method based on Beidou positioning |
| US9881384B2 (en) * | 2014-12-10 | 2018-01-30 | Here Global B.V. | Method and apparatus for providing one or more road conditions based on aerial imagery |
| CN204895881U (en) * | 2015-05-22 | 2015-12-23 | 刘道满 | Unmanned aerial vehicle system with thermal imaging system |
| CN104951801A (en) * | 2015-06-17 | 2015-09-30 | 深圳市金刚蚁机器人技术有限公司 | Photo management method and system |
| US9801176B2 (en) * | 2015-07-20 | 2017-10-24 | The Boeing Company | FDMA/TDMA architecture using channelizer and matrix power amplifier |
| CN105512684B (en) * | 2015-12-09 | 2018-08-28 | 江苏航天大为科技股份有限公司 | Logo automatic identifying method based on principal component analysis convolutional neural networks |
| CN105606073A (en) * | 2016-01-11 | 2016-05-25 | 谭圆圆 | Unmanned aerial vehicle processing system and flight state data processing method thereof |
| CN105550824A (en) * | 2016-01-13 | 2016-05-04 | 天津中科智能识别产业技术研究院有限公司 | Intelligent disaster situation evaluation system |
| CN106850666A (en) * | 2017-03-02 | 2017-06-13 | 水禾测绘信息技术有限公司 | The shared cloud platform of Forestry Information and monitoring operation system |
| CN106981017A (en) * | 2017-04-01 | 2017-07-25 | 智码迅付信息科技有限公司 | A kind of big data precision marketing device and marketing method based on face recognition technology |
| CN107169018A (en) * | 2017-04-06 | 2017-09-15 | 河南云保遥感科技有限公司 | A kind of agricultural insurance is surveyed, loss assessment system and its implementation |
| CN107749957A (en) * | 2017-11-07 | 2018-03-02 | 高域（北京）智能科技研究院有限公司 | Unmanned plane image display system and method |
-
2018
- 2018-05-20 CN CN201810484713.8A patent/CN108832986B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014002018A1 (en) * | 2012-06-26 | 2014-01-03 | Ariel-University Research And Development Company, Ltd. | Methods and devices for improved position determination |
| CN105872413A (en) * | 2016-05-31 | 2016-08-17 | 成都德善能科技有限公司 | Intelligent aerial photographing system |
| CN107784633A (en) * | 2017-09-04 | 2018-03-09 | 黄仁杰 | Suitable for the unmanned plane image calibrating method of plane survey |
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