KR102104003B1 - System for constructing spatial data big data platform using sensorless data acquisition and mission equipment - Google Patents

Abstract

The present invention relates to a method for systematically acquiring and managing mission equipment image information of synchronized drone and raw data of a hyperspectral sensor and a thermal camera, which integrally manages site flight of an unmanned aerial vehicle (drone), a ground control equipment operation method, access management of an integrated drone control system, remote drone monitoring, and a video situation propagation process, processes data of a big data storage and management unit for constructing big data and providing a big data service of the processed video and sensor data, and increases efficiency in data acquisition and processing through flight plan (scheduler) software of the drone having less flight time. Moreover, the present invention relates to a method for operating the integrated drone control system, the remote drone monitoring, the situation propagation, the big data storage and management unit, 2D and 3D orthographic image data processing units, and big data construction and operation services for final results. According to the present invention, provided is a spatial information data big data platform system integrated control of the drone and acquisition of mission equipment sensor data, which is different from a big data spatial information service method for each wide range of Google or a portal service to periodically and redundantly manage the data processed from the raw data as the big data for each country and each area with time. According to the present invention, the system comprises a drone body, the ground control equipment, the integrated drone control system, the big data storage and management unit, and the data processing unit.

Description

System for constructing spatial data big data platform using sensorless data acquisition and mission equipment

The present invention relates to a spatial information big data platform using unmanned aerial vehicle (drone) integrated control and mission equipment sensor data acquisition, and more specifically, space through real-time ground control and integrated control that gave data obtained from an unmanned aerial vehicle (drone) aircraft. Information big data construction and data processing to differentiate intelligent data from various regional big data geospatial service methods of Google or portal services through data verification according to raw data data verification and processing and operation methods for intelligent spatial information big data construction. It is a system for constructing a spatial information big data platform using unmanned integrated control and mission equipment sensor data acquisition that can periodically superimpose big data according to time change from raw data to processed data as big data.

The purpose of the unmanned aerial vehicle (drone) or multicopter flying is for the purpose of logistics for moving heavy objects, the purpose of controlling disinfectant pesticide spraying, and the purpose of acquiring spatial information data for capturing and identifying images of the Earth's surface. Construction space information (land compensation, urban redevelopment, illegal construction of restricted areas, housing construction, etc.) using agricultural and drone images and sensor data, agricultural spatial information (monitoring of crop crops, statistical data on agricultural products, self-grown vegetation, etc.), Marine spatial information (coast line erosion, farm red tide, green algae, etc.), environmental spatial information (atmospheric measurement, pollutant monitoring, remote sensing of polluted areas, etc.), mining spatial information (open mine, quarrying quantity, etc.), traffic spatial information (pain accident, Road management, traffic analysis, etc.), disaster spatial information (wildfires, typhoons, landslides, bridge collapses), etc.At the exact spatial coordinates of the global surface, changes in hourly information are regularly constructed, big data is built into one piece of information and fixed at regular intervals. It is the most important way to operate big data using UAV by tiling with and learning and servicing tiling object changes by date and time in the same area with artificial intelligence.

Drones for acquisition of spatial information are obtained by obtaining raw data according to various types of drones, such as images and sensors, and hundreds of mega-capacity image data and sensor data are acquired in different types by drone manufacturer in one flight. As it is being used, the result of data verification processing from raw data management is refined into one piece of information, tiled at regular intervals, and has a difficult problem of how to build and process tiling by date and time in the same area.

Spatial information data acquisition using mission equipment (image acquisition, sensor data, thermal image information, etc.) of general unmanned aircraft (drone) aircraft is the performance of drone manufacturers and data generated by incorrect specifications that are inconsistent with mission equipment specifications. Since it is possible to utilize only the result data through processing, there are many difficulties in constructing big data to share and utilize data from reprocessing of raw data.

On the other hand, when acquiring orthogonal image data of a wide area using a drone, it requires a lot of flight time because it flies by overlapping flight areas of a certain area, and it is difficult to obtain data of a wide area with a single flight, so it is difficult to obtain data of a wide area and divide fuel Battery) to fly. However, the existing flight plan (Mission Scheduler) program is flying with the takeoff and landing process of one aircraft, and iterative process of resetting the flight plan and sending the flight mission when returning to land due to the completion of mission or low battery. There is a difficulty in performing flight missions linked to the final flight point.

Therefore, when operating the UAV to acquire spatial information data from the Optical Act in the field, many difficulties occur in operation due to repeated flight or overlapped flight or space in which no flight has been made.

Recently, the acquisition of spatial information data using drones is operated by non-clockwise automatic flight to obtain precise location information, and non-clockwise flight in countries or countries around the world has a control function to manage flight information, and flight of aircraft in real time Integrated management of information is required, and a means to check the movement path of the vehicle in a non-clockwise flight position is required, and it has a difficult problem with respect to a method of utilizing image information obtained from mission equipment.

Therefore, in the integrated control method for unmanned flight of unmanned aerial vehicles, the security management method of flight information, the access method that manages the flight paths of multiple vehicles, and the real-time image and sensor big data acquisition, creation of raw databases, and increased raw It has a difficult problem of systematic operation management for the system management method of data.

In addition, the process of verifying the results by performing and integrating the data storage management method and analysis, correction, and processing results for data processing in a raw database through many specialized organizations has been constructed as big data and cannot be systematically utilized. There is this.

As a result of the big data processed in this way, big data is provided by organizations that provide big data information in time space, such as construction spatial information, agricultural spatial information, marine spatial information, environmental spatial information, mining spatial information, transportation spatial information, and disaster spatial information. It is possible to utilize and use the space information as a predominant technology as most of the element technology methods than the case of constructing a spatial information big data drone platform using drones. There is 10-2016-0151762 (low altitude unmanned aerial vehicle surveillance system), Korea Patent Publication No. 10-2017-0013667 (patch type strain sensor and pressure sensor based drone remote control system).

The invention of Korean Patent Publication No. 10-2017-0006983 No. 10-2016-0151762 proposes a mark in the form of ground control, connection and identification of unmanned aerial vehicles.

The invention of Korean Patent Publication No. 10-2017-0013667 proposes a method of operating a drone by calculating and processing measured data by sensing the motion of the ground controller and the pressure detected by the body.

Patent Document 1. Republic of Korea Patent Publication No. 10-2017-0006983-Low altitude unmanned aerial vehicle identification method and system Patent Document 2. Republic of Korea Patent Publication No. 10-2016-0151762-Low altitude unmanned aerial vehicle surveillance system Patent Document 3. Republic of Korea Patent Publication No. 10-2017-0013667-Patch type strain sensor and pressure sensor based drone remote control system Patent Document 4. Korean Patent Registration No. 10-183392-Drone system to secure images for spatial imaging

Therefore, the present invention is to solve all the disadvantages and problems of the prior art as described above, the present invention is an unmanned aerial vehicle (drone) field flight and ground control equipment operating method, drone integrated control system access management and drone remote monitoring and video Spatial information big data platform using unmanned integrated control and mission equipment sensor data acquisition to provide big data service of processed data of image and sensor data and big data storage management unit for integrated management of situation propagation process and big data construction The purpose is to provide a building system.

In addition, according to the present invention, data acquisition is performed by using the drone's flight planning (scheduler) software with low flight time to obtain raw data from mission equipment image information, hyperspectral sensors, and thermal imaging cameras of synchronized drones that improve processing efficiency. Systematic acquisition management method and drone integrated control system, drone remote monitoring and situation propagation, big data storage management part, 2D 3D ortho data processing part, method for constructing and operating big data of the final result. Differentiated from the Big Data Spatial Information Service Method of each region by law, the unmanned integrated control and mission equipment sensor data acquisition by periodically superimposing the big data according to the time change by region from the raw data to the processed data as big data There are other purposes to provide a data platform building system.

In order to achieve the above object, the present invention is for obtaining spatial information, and as a configuration for acquiring image and sensor data, the standardized mission computer 313 and sensor data for acquiring sensor data that can be installed in various types of UAV manufacturers are available. The unmanned aerial vehicle 300 equipped with the mission equipment 310 equipped with the function of the acquisition unit 312 and the communication processing unit 311 for communication processing; Ground control equipment (200) for controlling the flight path of the unmanned aircraft (300); Manage flight information and videos from the unmanned aerial vehicle 300 transmitted in real time, but transmit sensor data obtained from the unmanned aerial vehicle 300 to the big data storage management unit 500, and the video is drone remote monitoring and situation propagation An unmanned integrated control system 400 that provides a smartphone for 900 and services drone control information, visitor information, and data processing information through Internet access; The unmanned mission data transmitted from the unmanned integrated control system 400 is managed by a database management system (DBMS), but the raw data is distributed and managed by 3D big data, 2D big data, and object big data to build and process big data. Big data storage management unit 500 to transmit to the data processing unit 600; And data analysis and correction processing processing for data transmitted from the big data storage management unit 500. Commercial 3D orthogonal processing programs are separately linked to enable various analysis and commercial software is the same as the global portal's big data service. Data processing unit 600 that converts to a standard and constructs a big data through vector estimation and correction algorithm; including the result of processing of the data processing unit 600, the big data service through the big data storage management unit 500 ( 800) provides a spatial information big data platform construction system using unmanned integrated control and mission equipment sensor data acquisition.

Here, the big data operation 700 of the big data service 800 is monitored by building big data in a background compatible with portal services such as Google, Daum, Naver, and V World through data operation software, and is supported globally. Monitoring provides the top-level information of the latest data view, and data operation information is characterized by supporting deep learning DB service that can learn big data through tiling big data service in a tiled standard like Google's standard.

And the big data service 800 supports the spatial information big data service through an engineering function including the location area volume of the big data view SW of the big data operation 700, but the construction spatial information 821, agriculture Spatial information (825), marine spatial information (822), environmental spatial information (827), mining spatial information (824), intellectual spatial information (826), traffic spatial information (828), disaster spatial information (823), other spaces It is utilized when processing one or more big data of information 829.

In addition, the system for constructing a spatial information big data platform using unmanned aerial vehicle control and mission equipment sensor data acquisition, is currently flying through a smart phone when the situation of the unmanned aerial vehicle 300 is difficult due to the non-clock flight of the ground control equipment 200 The drone navigation 941 of 300 is drone remote monitoring 940, and a video situation propagation service in which multiple video situation propagation 942 of the same or different drones can be viewed through a current smartphone or another smartphone is provided. The UTM information sharing (931) and video context propagation (932) information to the disaster center is provided for information dissemination of the disaster center (930).

The system for constructing a spatial information big data platform using unmanned aerial vehicle control and mission equipment sensor data acquisition according to an embodiment of the present invention has the following effects.

First, mission equipment and ground control equipment operation method to acquire data standards in various fields on the use of unmanned aerial vehicles, drone integrated control, drone remote monitoring, and non-clockwise flight operation through radio wave propagation to secure operational reliability and save unmanned aircraft data big data It is easy to build a global standard big data system with the big data construction platform method by the management and data processing.

Second, provide big data standardized with accessor service and operation software for big data service, link artificial intelligence deep learning (learning) DB service with big data scale and tiling big data required for 1 cm high resolution service, Provides up-to-date information through a data service-based precision correction information DB to maintain real-time and provide unmanned mobile big data services. Big data overlaps various information such as images, intellectual information, sensor information, and thermal images to provide information. It is configured to be shared, and it has an effect that can be used for process and abnormal diagnosis in an industrial site, and induction control method of unmanned moving objects.

Third, when landing an unmanned aerial vehicle, by matching the precise landing with the unmanned aerial vehicle landing device, there is an effect that can effectively perform remote automatic take-off and automatic power charging of the unmanned aerial vehicle.

1 is a view showing the battlefield information big data acquisition lock platform service system required for a spatial information big data platform construction system using unmanned aerial vehicle control and mission equipment sensor data acquisition according to the present invention.
2 is a view for explaining a system for constructing a spatial information big data platform using unmanned aerial vehicle control and mission equipment sensor data acquisition according to the present invention.
3 to 5 are diagrams for explaining in detail the system for constructing a spatial information big data platform using the unmanned aerial vehicle integrated control and mission equipment sensor data acquisition of the present invention shown in FIG. 2.
FIG. 6 is a diagram showing an embodiment of utilizing the spatial information big data service of the spatial information big data platform construction system using the present invention unmanned aerial control and mission equipment sensor data acquisition shown in FIG. 2.
7 is a view showing an example of a result of processing a big data operation software using a system for constructing a spatial information big data platform using unmanned aerial vehicle integrated control and mission equipment sensor data acquisition.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings. Prior to this, the terms or words used in the present specification and claims should not be interpreted as being limited to ordinary or dictionary meanings, and the inventor appropriately explains the concept of terms in order to explain his or her invention in the best way. Based on the principle of being able to be defined, it should be interpreted as meaning and concept consistent with the technical idea of the present invention. In addition, unless there are other definitions in the technical terms and scientific terms used, those skilled in the art to which the present invention pertains have the meanings commonly understood, and the subject matter of the present invention in the following description and the accompanying drawings. Descriptions of well-known functions and configurations that may be obscured are omitted. The drawings introduced below are provided as examples in order to sufficiently convey the spirit of the present invention to those skilled in the art. Accordingly, the present invention is not limited to the drawings presented below and may be embodied in other forms. In addition, the same reference numbers throughout the specification indicate the same components. It should be noted that the same components in the drawings are indicated by the same reference numerals wherever possible.

FIG. 1 is a diagram showing a battlefield information big data acquisition lock platform service system required for a spatial information big data platform construction system using unmanned aerial vehicle control and mission equipment sensor data acquisition according to the present invention.

The concept of a system for constructing a spatial information big data platform using unmanned aerial vehicle control and mission equipment sensor data acquisition according to the present invention is as shown in FIG. 1, drone remote monitoring and situational propagation and A / S maintenance for unmanned aerial vehicle (drone) aircraft Performs maintenance and acquires data through the flying of a UAV. At this time, drone integrated control to manage data acquisition (systematic acquisition of mission equipment image information, hyperspectral sensors, and raw data from thermal imaging cameras) through drone's flight planning (scheduler) software in ground control equipment (GCS) System, drone remote monitoring and situational propagation, big data storage management unit, big data storage management unit GIS big data processing / collection data analysis / processing of 2D 3D orthographic image data (orthogonal processing), big data of final result Build and perform big data operation services. Through this, it is differentiated from the Google or Portal Service's Big Data spatial information service method by region, and unmanned integrated control and data construction that periodically superimposes and processes processed big data from raw data to big data that differs according to time changes by region. Provides a method and method of constructing a spatial data big data drone using.

FIG. 2 is a diagram for explaining a system for constructing a spatial information big data platform using unmanned aerial control and mission equipment sensor data acquisition according to the present invention, and FIGS. 3 to 5 are the present invention unmanned integrated control and mission equipment shown in FIG. It is a diagram for explaining in detail a system for constructing a spatial information big data platform using sensor data acquisition, and FIG. 6 is a spatial information of a system for constructing a spatial information big data platform using sensor data acquisition of the present invention unmanned integrated control and mission equipment shown in FIG. FIG. 7 is a view showing an example of using a big data service, and FIG. 7 is a diagram showing an example of a result of processing a big data operation software using a system for constructing a spatial information big data platform using unmanned aerial vehicle integrated control and mission equipment sensor data acquisition.

First, the system for constructing a spatial information big data platform using unmanned aerial vehicle control and mission equipment sensor data acquisition according to the present invention, as shown in FIG. 2, ground control equipment 200, unmanned aerial vehicle (drone) aircraft 300, unmanned aerial vehicle (drone) ) It consists of an integrated control system 400, a big data storage management unit 500, and a data processing unit 600 to perform the big data local service 100 through the big data operation 700 and the big data service 800.

Here, the ground control equipment 200 controls the route flight of the unmanned aerial vehicle 300.

The unmanned aerial vehicle (drone) aircraft 300 is for obtaining spatial information, and is a configuration for acquiring data such as images and sensors. The standardized mission computer 313 that can be installed in various types of unmanned aerial vehicle manufacturers and sensor data to acquire sensor data The mission unit 310 equipped with the function of the acquisition unit 312 and the communication processing unit 311 for communication processing is mounted. The unmanned aircraft 300 is generally a communication unit, a wind direction / wind speed / altitude sensor, a geomagnetic sensor, an acceleration sensor, a gyro sensor, a rotary wing, a driving motor, a battery, a driving engine, a fuel container, a weight sensor, a data storage unit, a photographing unit , GPS receiver and a control unit are optionally provided.

The UAV integrated control system 400 manages flight information and videos from the UAV 300 transmitted in real time. At this time, the sensor data obtained from the UAV 300 is transmitted to the data storage unit 500, and the video is provided to the drone remote monitoring and situation propagation 900, and the drone control information, visitor information, and data through the Internet access. The processing information is serviced, and the large-capacity data service of the web accessor is provided to the user through the large-capacity P2P SW 411.

The big data storage management unit 500 manages unmanned mission data transmitted from the drone integrated control system 400 as a database management system (DBMS), but distributes and manages raw data as 3D big data, 2D big data, and object big data. To build the big data, process it and send it to the data processing unit 600.

The data processing unit 600 processes data analysis and correction processing for data transmitted from the big data storage management unit 500, and commercial analysis software can be used in a variety of ways by separately linking commercial 3D refinement processing programs. It converts to the same standard as data service, and builds big data with precision of 1cm standard through vector estimation and correction algorithm.

The result of the processing of the data processing unit 600 is a big data service 800 through the information of the big data storage management unit 500, big data access management 840 for big data service, big data for remote big data support Remote support (830), a big data view SW (820) that displays big data on a monitor, and tiling big data services required for data learning and artificial intelligence are deep learning object recognition by the administrator of artificial intelligence DB connection (810) ( 812) and object comparison joint recognition (811) algorithm service is supported, and using 3D vector information of unmanned mobile services (850) using big data vector information and artificial intelligence DB and operating big data of big data service (800) (700).

Big data operation 700 is supported by building big data on a background compatible with portal services such as Google, Daum, Naver, and V World through data operation software, and global monitoring is the top-level information of the latest data view. The data management information is a tiled standard, such as Google's standard, and supports a deep learning DB service capable of learning big data through a tiling big data service.

The big data service 800 supports the spatial data big data service through engineering functions such as the location area volume of the big data view SW of the big data operation 700, and the construction spatial information 821 as shown in FIG. 6. , Agricultural spatial information (825), marine spatial information (822), environmental spatial information (827), mining spatial information (824), intellectual spatial information (826), traffic spatial information (828), disaster spatial information (823), It can be mainly used when processing big data such as other spatial information (829).

According to this configuration, the drone remote monitoring and situation propagation 900 is a non-clock flight of the ground control equipment 200. If the unmanned aircraft 300 situation is difficult, drone remote monitoring and situation propagation 900 through a smartphone The drone navigation 941 of the drone currently flying 300 is monitored by a drone remotely (940), and a large number of video status propagation (942) of the same or different drones can be viewed through the current smartphone or another smartphone. A video context propagation service may be provided, and the video context propagation 932 information may be provided to the UTM information sharing 931 and the disaster center for information center disaster propagation 930.

In other words, the UAV (drone) gas 300 and the ground control equipment 200 are configured to acquire data such as images and sensors for obtaining spatial information, and the UAV 300 is a manufacturer-specific format of the UAV 300. The standardized mission computer 313, the sensor data acquisition unit 312, and the communication processing unit 311, which can be installed on various drones 300, are equipped with mission equipment 310 equipped with each manufacturer.

In addition, the function of the ground control equipment 200 and the mission equipment 310 have a function of controlling the path flight of the flight controller 320 of the unmanned aircraft 300.

The mission equipment 310 and the ground control equipment 200 are compatible with each other, the flight scheduler SW 250 of the mission performance routing, the 2D orthogonal deployment 240 and the UAV verifying the information data of the sensor data acquisition unit 312 The flight remote control device (230) necessary for the emergency control of the aircraft, the flight control monitoring (220) that controls flight information from the ground, and the video monitoring (210) that controls the image of mission equipment and the standardized configuration, 200) to control the flight paths of the flight controllers 320 of various manufacturers in conjunction with the mission equipment 310 of the unmanned aerial vehicle 300 to control the information of the standardized sensor data acquisition unit 312 mounted on the mission equipment. The standardized data is transmitted to the unmanned integrated control system 400 for the integrated control of the equipment 200 and the plurality of unmanned aircraft 300.

In addition, the ground control equipment 200 stores and manages the takeoff and landing location information so that a wide flight path set in the flight scheduler SW 250 can be repeatedly carried out only by exchanging batteries. The sensor data acquisition unit 312 and data transmission and remote control of the ground control and drone integrated control system 400 are transmitted to enable continuous flight in search of flight trajectories.

The flight controller 320 of the unmanned aerial vehicle 300 is a configuration for interlocking the ground control equipment 200 with other UAV mission equipment 310 of each manufacturer and the flight controller, and is generally standardized in the control method of the remote controller and the flight controller. The control data of the flight controller 320 through the mission equipment 310 and the control method of the flight scheduler SW 250 of the ground control equipment 200 standardize the sensor data acquisition information by standardized flight control of the mission equipment.

In addition, the mission information (flight information, video, video, etc.) is transmitted through the mission equipment to the ground control equipment 200 and the drone integrated control system 400 through the communication processing unit 311.

In addition, the flight information and the video of the drone 300 transmitted in real time to the drone integrated control system 400 is flight connection manager 415 that provides flight log information to the drone integrated control server 410 of the drone integrated control system 400. Through the management, the mission information 310 is transmitted to the sensor data 311 acquired from the unmanned aircraft 300 through the flight data manager 414 and stored in the big data storage management unit 500 for management.

Here, the video access management 413 provides information necessary for drone remote monitoring and situation propagation 900, and the visitor web service 412 provides drone control information, visitor information, and data processing information through the Internet access, and the web. The large-capacity data service of the accessor is serviced to the user through the large-capacity P2P SW 411.

On the other hand, the drone remote monitoring and situation propagation 900 drone remote monitoring 940 of the drone navigation 941 of the drone 300 currently flying through a smartphone when the unmanned situation is difficult due to the non-clock flight of the ground control equipment. , Provides a video context propagation service that allows a large number of video context propagation 942 of the same or different drones to be viewed through a current smartphone or another smart phone. Accordingly, UTM information sharing 931 and video context propagation 932 information are provided to the disaster center for information about the situation 930 of the disaster center.

The UAV 300 mission data transmitted from the drone integrated control system 400 is transmitted to the big data storage management unit 500, and the database management system (DBMS) management method is raw data DB management 570, 3D processing big data (560), 2D processing big data (550), global 3D vector DB (540), deep learning learning object DB (530), seat time video DB (520), precision correction information oil (510) to distribute and manage the database Build big data.

And the data processing of the raw data DB management 570, the data processing server 610 of the data processing unit 600, the raw DB batch analysis 615, the new correction to manage the new precise correction coordinates of the precision correction information DB 510 It is operated as a server of information 614 processing, 3D ortho-image processing 613, 2D warping mosaic 612 processing, and 3D vector modeling automatic generation 611, and the processing results are stored in the big data storage management unit 500.

In addition, the processing result of the data processing unit 600 is performed in the big data service unit 800 through the information of the big data storage management unit 500, and for the big data service, the big data access management 840 and remote big data support It is serviced by Big Data Remote Support (830) and Big Data View SW (820) that displays big data on a monitor.

And, the tiling big data service required for data learning and artificial intelligence is supported by deep learning object recognition (812) and object comparison joint recognition (811) algorithm services by the artificial intelligence DB access (810) manager, and vector information of big data And 3D vector information object linkage of the unmanned moving object service 850 and the big data operation 700 part of the big data service 800 using the artificial intelligence DB.

In particular, the big data operation 700 of the big data service 800 can be globally monitored 711 of the database operation software 710, and the background information of the global monitoring is provided with portal services such as Google, Daum, Naver, and VWorld. Monitoring is supported by constructing big data on a compatible background, global monitoring always provides the top-level information of the latest data view (712), and data operation information is tiling big data in a tiled standard like Google's standard (713) A deep learning DB service 714 capable of learning big data through a service is supported.

In addition, the big data service 800 supports the spatial information big data service through engineering functions such as location area volume of the big data view SW, construction spatial information 821, agricultural spatial information 825, and marine space. Big data such as information (822), environmental spatial information (827), mining spatial information (824), intellectual spatial information (826), traffic spatial information (828), disaster spatial information (823), and other spatial information (829) It is mainly utilized when processing.

At this time, the data analysis and correction processing processing of the data processing unit 600 can be used in a variety of analysis by separately linking commercial 3D orthogonal processing programs, and commercial software is converted into the same standard as the big data service of the global portal, and vector estimation and correction algorithm Through this, the big data is constructed with the accuracy of 1 cm.

Although the present invention has been described as an example as described above, the present invention is not necessarily limited to these examples, and may be variously modified without departing from the technical spirit of the present invention. Therefore, the examples disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these examples. The scope of protection of the present invention should be interpreted by the following claims, and all technical spirits within the equivalent range should be interpreted as being included in the scope of the present invention.

200: ground control equipment 300: unmanned aircraft
400: drone integrated control system 500: big data storage management unit
600: data processing unit

Claims (4)

For obtaining spatial information, it is a configuration for acquiring image and sensor data. It is a standardized mission computer 313 that can be installed in various types of UAV manufacturers, and a sensor data acquisition unit 312 for acquiring sensor data and communication processing. The unmanned aerial vehicle 300 equipped with the mission equipment 310 equipped with the communication processing unit 311 function;
Ground control equipment (200) for controlling the flight path of the unmanned aircraft (300);
Manage flight information and videos from the unmanned aerial vehicle 300 transmitted in real time, but transmit sensor data obtained from the unmanned aerial vehicle 300 to the big data storage management unit 500, and the video is drone remote monitoring and situation propagation An unmanned integrated control system 400 that provides a smartphone for 900 and services drone control information, visitor information, and data processing information through Internet access;
The unmanned mission data transmitted from the unmanned integrated control system 400 is managed by a database management system (DBMS), but the raw data is distributed and managed by 3D big data, 2D big data, and object big data to build and process big data. Big data storage management unit 500 to transmit to the data processing unit 600; And
Data analysis and correction processing are processed for the data transmitted from the big data storage management unit 500. Various commercially available 3D orthogonal processing programs can be connected to each other to utilize various analysis. Commercial software is the same as the big data service of the global portal. And a data processing unit 600 for constructing a big data through a vector estimation and correction algorithm. The processing results of the data processing unit 600, including the big data service 800 through the big data storage management unit 500 ) Is made,
The big data operation 700 of the big data service 800 is monitored by building big data on a background compatible with portal services such as Google, Daum, Naver, and V World through data operation software, and is supported globally. The monitoring provides the top-level information of the latest data view, and the data operation information is a tiled standard like Google's standard, and it supports a deep learning DB service that can learn big data through a tiling big data service. Spatial information big data platform construction system using integrated control and mission equipment sensor data acquisition.
delete The method according to claim 1,
The big data service 800 supports the spatial data big data service through an engineering function including the location area volume of the big data view SW of the big data operation 700, but the construction spatial information 821, agriculture Spatial information (825), marine spatial information (822), environmental spatial information (827), mining spatial information (824), intellectual spatial information (826), traffic spatial information (828), disaster spatial information (823), other spaces A system for constructing a spatial information big data platform using unmanned integrated control and mission equipment sensor data acquisition, which is utilized when processing one or more of the information 829.
The method according to claim 1,
The spatial information big data platform construction system using the unmanned aerial vehicle integrated control and mission equipment sensor data acquisition,
When the situation of the unmanned aerial vehicle 300 is difficult due to the non-clock flight of the ground control equipment 200, the drone navigation 941 of the unmanned aerial vehicle 300 currently flying through a smartphone is drone remotely monitored (940), and the current Provides a video context propagation service that allows multiple users to view the video context propagation (942) of the same or different drones through a smartphone or other smart phone, and shares UTM information (931) for information center disaster propagation (930) and Spatial information big data platform construction system using unmanned integrated control and mission equipment sensor data acquisition, which provides video context propagation (932) information to a disaster center.

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