KR20230094596A - Earthworks risk management system using unmanned aerial vehicle and earthworks management method using the same - Google Patents

Abstract

An earthwork risk situation analysis system using an unmanned aerial vehicle according to a technical aspect of the present invention includes: an unmanned aerial vehicle that flies according to a set flight path and generates and provides a plurality of image data for a preset ground area; and a management server that provides the flight path to the unmanned aerial vehicle and generates a construction topographic map for the ground area by matching the plurality of image data. The management server may generate process data for an earthwork process for the ground area by comparing a plurality of construction topographic maps generated at different time points for the ground area.

Description

Earthworks risk management system using unmanned aerial vehicle and earthworks management method using the same}

The present invention relates to a construction management technology based on ICT (Information and Communication Technology), and more specifically, to an earthwork risk situation analysis system using an unmanned aerial vehicle and an earthwork risk situation analysis method using the same.

With the development of ICT (Information and Communication Technology) technology, ICT-based system improvements are being made in various industries.

The construction field is also one of these industries, and improved effects such as productivity improvement and stability are expected by applying ICT technology to various processes such as construction process management and site management.

On the other hand, conventional ICT-based construction technology collects data by installing a camera or sensor at a fixed location on a construction site, or directly collects construction-related data, We provide construction related management.

In the case of this prior art, in large-scale, large-scale processes such as civil engineering, it is difficult to install to cover a wide location even if cameras, sensors, or people are used, and it is difficult to collect data to cover all of these large-scale, large-scale processes. there is

Accordingly, in the conventional case, there is a limitation in that risk factor management for a large-scale mass process such as civil engineering is impossible.

One technical aspect of the present invention is to solve the above-described problems of the prior art, using an unmanned aerial vehicle to secure a continuous picture of a large construction area and based on this to create a construction topographical map for earthworks, such construction It is to provide an earthwork risk situation analysis system using an unmanned aerial vehicle and an earthwork risk situation analysis method using the unmanned aerial vehicle, which can identify dangerous objects in an earthwork area based on a topographical map and perform risk management therefor.

In addition, in one technical aspect of the present invention, by generating a construction topographical map including an orthophoto and a numerical elevation model based on an image obtained from an unmanned aerial vehicle, a construction topographical map can be generated for a wide area without a separate complicated surveying process. To provide an earthwork risk situation analysis system using an unmanned aerial vehicle and an earthwork risk situation analysis method using the same.

In addition, one technical aspect of the present invention identifies and manages dangerous objects in orthophotos based on image recognition, and identifies and manages dangerous areas based on slope information calculated from a three-dimensional model for the earthworks area, thereby reducing the risk of the earthworks site. An earthwork risk situation analysis system using an unmanned aerial vehicle capable of providing identification and management of various risk objects and an earthwork risk situation analysis method using the same are provided.

The above objects and various advantages of the present invention will become more apparent from preferred embodiments of the present invention by those skilled in the art.

One technical aspect of the present invention proposes an earthwork risk situation analysis system using an unmanned aerial vehicle. The earthwork risk situation analysis system using the unmanned aerial vehicle provides the flight path to the unmanned aerial vehicle and the unmanned aerial vehicle for generating and providing a plurality of image data for a predetermined ground area by flying according to a set flight path, and providing the plurality of image data to the unmanned aerial vehicle. and a management server generating a construction topographical map for the ground area by matching the image data of the above. The management server may manage the dangerous situation for the ground area by extracting a dangerous object from the construction topographical map generated for the ground area and determining a dangerous situation based on the extracted dangerous object.

In one embodiment, the management server extracts the dangerous object with respect to the construction topographical map, detects the slope topography of the ground area based on the construction topographical map, and then topographically correlates the dangerous object with the slope topography. Based on this, it is possible to determine the dangerous situation.

In one embodiment, the management server may set a flight path including information on at least one reference point and a plurality of observation points and provide the information to the unmanned aerial vehicle. The unmanned aerial vehicle may generate a plurality of image data for the ground area by flying along the flight path based on at least one reference point and a plurality of observation points located on the ground.

In one embodiment, the management server generates a flight path including information on at least one reference point and a plurality of observation points associated with the ground area, and provides the UAV flight controller to the unmanned aerial vehicle. A data collection unit that collects a plurality of image data of the ground area and identifies the at least one reference point and the plurality of observation points with respect to the plurality of image data to set a location reference for at least part of the image data, and determines the location reference and a construction topographical map generating unit configured to generate a construction topographical map of the ground area by matching successive image data based on a base.

In one embodiment, the construction topographical map may include an orthophoto of the ground area and a digital elevation model of the ground area.

In one embodiment, the management server extracts vehicles and heavy equipment objects or construction material objects existing in the ground area as the dangerous object based on the orthophoto and the digital elevation model, and based on the digital elevation model The apparatus may further include a dangerous situation detecting unit that detects the slope topography of the ground area and determines the dangerous situation based on topographical correlation between the dangerous object and the slope topography.

In one embodiment, the management server, when a dangerous situation is detected by the dangerous situation detecting unit, the earthworks risk notification unit for generating danger notification information including information on the corresponding dangerous situation and providing it to the manager terminal can include

One technical aspect of the present invention proposes a method for analyzing a dangerous situation in earthworks using an unmanned aerial vehicle. The earthwork risk situation analysis method using the unmanned aerial vehicle is an earthwork risk situation analysis method performed in an earthwork risk situation analysis system including an unmanned aerial vehicle and a management server for managing the earthwork process in conjunction with the unmanned aerial vehicle, wherein the management server Setting a flight path including information on at least one reference point and a plurality of observation points and providing the information to the unmanned aerial vehicle; Generating and providing data, generating, by the management server, a construction topographical map for the ground area by matching the plurality of image data provided from the unmanned aerial vehicle, and the construction topographical map generated for the ground area The method may include extracting a dangerous object, determining a dangerous situation based on the extracted dangerous object, and managing the dangerous situation for the ground area.

In one embodiment, the generating of the construction topographical map may include collecting, by the management server, a plurality of image data of the ground area from the unmanned aerial vehicle; Identifying at least one reference point and a plurality of observation points to set a location reference for at least some image data, and the management server matching consecutive image data based on the location reference to obtain a construction topographical map for the ground area. It may include generating steps.

In one embodiment, the step of determining a dangerous situation based on the extracted dangerous object and managing the dangerous situation for the ground area may include a vehicle existing in the ground area based on the orthophoto and the digital elevation model, and Extracting a heavy equipment object or a construction material object as the dangerous object, detecting the slope topography for the ground area based on the digital elevation model, and the dangerous situation based on the topographic correlation between the dangerous object and the slope topography It may include the step of determining.

In an embodiment, the method for analyzing dangerous situations in earthworks may further include, when the dangerous situations are detected, generating risk notification information including information on the corresponding dangerous situations and providing it to a manager terminal.

One technical aspect of the present invention proposes a storage medium. The storage medium is a storage medium storing computer readable instructions, which, when executed by a management server, cause the management server to include information on at least one reference point and a plurality of observation points. operation of setting a flight path to provide to the unmanned aerial vehicle, operation of matching a plurality of image data provided from the unmanned aerial vehicle to create a construction topographical map for the ground area, and a dangerous object with respect to the construction topographical map generated for the ground area is extracted, and after detecting the slope topography of the ground area based on the construction topographical map, an operation of determining the dangerous situation based on the topographical correlation between the dangerous object and the slope topography may be performed.

The means for solving the problems described above do not enumerate all the features of the present invention. Various means for solving the problems of the present invention will be understood in more detail with reference to specific embodiments of the detailed description below.

According to one embodiment of the present invention, continuous photos are obtained for a large construction area using an unmanned aerial vehicle, a construction topographical map for earthworks is generated based on this, and hazardous objects in the earthworks area are identified based on the construction topographical map. And there is an effect that can perform risk management for it.

In addition, according to one embodiment of the present invention, by generating a construction topographical map including an orthophoto and a numerical elevation model based on an image obtained from an unmanned aerial vehicle, a construction topographical map for a wide area can be created without a separate complicated surveying process. There are possible effects.

In addition, according to one embodiment of the present invention, by identifying and managing dangerous objects in orthophotos based on image recognition, and identifying and managing dangerous areas based on slope information calculated from a three-dimensional model for earthworks, the earthworks site It has the effect of providing identification and management of various risk objects.

1 is a diagram illustrating an application example of an earthwork risk situation analysis system using an unmanned aerial vehicle according to an embodiment of the present invention.
2 is a block diagram illustrating an example of an unmanned aerial vehicle according to an embodiment of the present invention.
3 is a diagram illustrating an exemplary computing operating environment of a management server according to an embodiment of the present invention.
4 is a block diagram illustrating a management server according to an embodiment of the present invention.
5 is a flowchart illustrating a method for analyzing a dangerous situation in earthworks using an unmanned aerial vehicle according to an embodiment of the present invention.
FIG. 6 is a block diagram illustrating an embodiment of a construction topographical map generating unit shown in FIG. 4 .
7 to 8 are views for explaining the construction topographical map generation unit shown in FIG. 6 .
FIG. 9 is a block diagram illustrating an embodiment of a dangerous situation detecting unit shown in FIG. 4 .
FIG. 10 is a flowchart illustrating an embodiment of a dangerous situation detection operation performed by the dangerous situation detection unit shown in FIG. 9 .
11 to 13 are diagrams for explaining the dangerous situation detection unit shown in FIG. 9 .

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

However, the embodiments of the present invention can be modified in many different forms, and the scope of the present invention is not limited to the embodiments described below. In addition, the embodiments of the present invention are provided to more completely explain the present invention to those skilled in the art.

That is, the above objects, features, and advantages will be described later in detail with reference to the accompanying drawings, and accordingly, those skilled in the art to which the present invention belongs will be able to easily implement the technical spirit of the present invention. In describing the present invention, if it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to indicate the same or similar components.

Also, singular expressions used in this specification include plural expressions unless the context clearly indicates otherwise. In this application, terms such as "consisting of" or "comprising" should not be construed as necessarily including all of the various components or steps described in the specification, and some of the components or some of the steps It should be construed that it may not be included, or may further include additional components or steps.

In addition, in order to describe the system according to the present invention, various components and sub-components thereof are described below. These components and their subcomponents may be implemented in various forms, such as hardware, software, or a combination thereof. For example, each element may be implemented as an electronic configuration for performing a corresponding function, or may be implemented as software itself that can be run in an electronic system or as one functional element of such software. Alternatively, it may be implemented as an electronic configuration and corresponding driving software.

The various techniques described herein may be implemented with hardware or software, or a combination of both where appropriate. As used herein, the terms "Unit", "Server" and "System" likewise refer to a computer-related entity, that is, hardware, a combination of hardware and software, software or It can be treated as equivalent to running software. In addition, each function executed in the system of the present invention may be configured in module units and recorded in one physical memory or distributed between two or more memories and recording media.

Although various flow charts have been disclosed to describe the embodiments of the present invention, these are for convenience of description of each step, and each step is not necessarily performed in the order of the flowchart. That is, each step in the flowchart may be performed simultaneously with each other, in an order according to the flowchart, or in an order reverse to that in the flowchart.

1 is a diagram illustrating an application example of an earthwork risk situation analysis system using an unmanned aerial vehicle according to an embodiment of the present invention.

Referring to FIG. 1 , an earthwork risk situation analysis system using an unmanned aerial vehicle may include an unmanned aerial vehicle 100 and a management server 300. Depending on the embodiment, a manager terminal 500 for accessing the management server 300 to inquire and supervise information on risk analysis of earthworks may be further included.

The unmanned aerial vehicle 100 may generate image data for a preset ground area that is a subject of an earthworks process in conjunction with the management server 300 . For example, the unmanned aerial vehicle 100 receives a flight path set for the ground area from the management server 300, flies according to the flight path, generates a plurality of image data for the ground area, and provides the data to the management server 300. can do.

The management server 300 may provide a flight path to the unmanned aerial vehicle 100 . For example, the management server 300 may set a flight path including information on at least one reference point and a plurality of observation points and provide the information to the unmanned aerial vehicle. The unmanned aerial vehicle 100 may generate a plurality of image data for the ground area by flying along a flight path based on at least one reference point and a plurality of observation points located on the ground.

The management server 300 may match a plurality of image data provided from the unmanned aerial vehicle 100 to generate a construction topographical map for the ground area.

The management server 300 may perform risk management using a construction topographical map with respect to a ground area that is an earthwork target area.

For example, the management server 300 manages the dangerous situation for the ground area by extracting a dangerous object from a construction topographical map generated for a land area to be earthworks and determining a dangerous situation based on the extracted dangerous object. can do.

For example, the management server 300 may extract a dangerous object with respect to a construction topographical map. The management server 300 may detect the slope topography of the ground area based on the construction topographical map. The management server 300 may determine a dangerous situation based on the topographical correlation between the dangerous object and the slope topography.

The management server 300 may provide process management for each time zone with respect to the ground area, which is an object of risk situation analysis for earthworks. For example, the management server 300 may compare a plurality of construction topographical maps generated at different points in time to generate process data for an earthwork process for a land area.

Hereinafter, various embodiments of the unmanned aerial vehicle 100 and the management server 300 will be described in more detail with reference to FIGS. 2 to 15 .

2 is a block diagram illustrating an example of an unmanned aerial vehicle according to an embodiment of the present invention.

Referring to FIG. 2 , the unmanned aerial vehicle 100 may include a power supply unit 110, a flight control unit 120, an image capture unit 130, a data storage unit 140, and a communication unit 150.

The power supply unit 110 may store power and supply the stored power to other components of the unmanned aerial vehicle 100.

The flight control unit 120 may control driving of a flight driving device (not shown) of the unmanned aerial vehicle 100 . For example, the flight controller 120 receives a flight path from the management server 300, and here, the flight path may include information on at least one reference point and a plurality of observation points. The flight control unit 120 analyzes the image captured by the image capturing unit 130 to determine whether a reference point or observation point exists, and applies a flight path based on the determination to perform flight.

The image capturing unit 130 may capture image data of the ground area when the unmanned aerial vehicle 100 is in flight and passes the ground area to be earthworks. For example, the flight control unit 120 may request the image capture unit 130 to capture image data when in flight within the flight path, and the image capture unit 130 may perform a predetermined time interval or a predetermined movement interval in the ground area. It is possible to generate image data by taking an image for .

The data storage unit 140 may store image data captured by the image capturing unit 130 .

The communication unit 150 may establish wireless communication with the outside, for example, the management server 300, and provide image data stored in the data storage unit 140 to the management server 300.

Hereinafter, with reference to FIGS. 3 to 15 , various embodiments of a management server and various embodiments of a risk analysis method for earthworks using an unmanned aerial vehicle performed therein will be described in detail.

3 is a diagram illustrating an exemplary computing operating environment of a management server according to an embodiment of the present invention.

3 is intended to provide a general and simplified description of a suitable computing environment in which embodiments of the management server 300 may be implemented. Referring to FIG. 3, a computing device is shown as an example of the management server 300. do.

The computing device may include at least a processing unit 303 and a system memory 301 .

A computing device may include a plurality of processing units that cooperate in executing a program. Depending on the exact configuration and type of computing device, system memory 301 may be volatile (eg, RAM), non-volatile (eg, ROM, flash memory, etc.), or a combination thereof. The system memory 301 includes a suitable operating system 302 for controlling the operation of the platform, which may be, for example, the WINDOWS operating system from Microsoft or Linux. System memory 301 may include one or more software applications, such as program modules, applications, and the like.

The computing device may include additional data storage devices 304 such as magnetic disks, optical disks, or tape. Such additional storage may be removable storage and/or fixed storage. Computer readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage information such as computer readable instructions, data structures, program modules, or other data. Both system memory 301 and storage 304 are examples of computer-readable storage media. Computer readable storage media may include RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, DVD or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage device, or any other It may include, but is not limited to, any other medium that stores information and can be accessed by computing device 300 .

A computing device may include an input device 305 , such as a keyboard, mouse, pen, voice input device, touch input device, and comparable input devices. Output devices 306 may include, for example, displays, speakers, printers, and other types of output devices. Since these devices are widely known in the art, a detailed description thereof will be omitted.

A computing device may include a communication device 307 that allows the device to communicate with other devices, such as over a network in a distributed computing environment, e.g., wired and wireless networks, satellite links, cellular links, local area networks, and comparable mechanisms. . Communications device 307 is one example of communication media, which may include computer readable instructions, data structures, program modules, or other data therein. By way of example, communication media includes, but is not limited to, wired media such as a wired network or direct wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

The management server 300 may be described as a functional configuration implemented in such a computing environment. This will be described with reference to FIG. 3 .

4 is a block diagram illustrating a management server according to an embodiment of the present invention, and FIG. 5 is a flowchart illustrating a method for analyzing a risk situation in earthworks using an unmanned aerial vehicle according to an embodiment of the present invention.

Referring to FIG. 4, the management server 300 includes a data collection unit 310, a UAV flight control unit 320, a construction topographical map generation unit 330, a dangerous situation detection unit 340, and an earthworks hazard notification unit 350. can include

Referring further to FIG. 5 , the UAV flight control unit 320 may set at least one reference point and a plurality of observation points associated with a ground area that is a subject of earthwork process management (S510). Locations of the at least one reference point and the plurality of observation points may be set by a manager, and reference points or observation points may be placed at actual locations corresponding to the set locations. For example, such a reference point or observation point may be a kind of anti-aircraft beacon, and such an anti-aircraft beacon may be provided at an actual location through surveying in order to be accurately positioned at a preset location.

The UAV flight control unit 320 may generate a flight path including information on the at least one reference point and a plurality of observation points and provide it to the unmanned aerial vehicle 100 (S520).

The unmanned aerial vehicle 100 may take images while flying along a flight path, generate a plurality of image data, and provide them to a management server (S530), and the data collection unit 310 collects and stores the plurality of image data. can

The construction topographical map generator 330 may generate a construction topographical map based on the plurality of image data collected by the data collection unit 310 .

For example, the construction topographic map generation unit 330 may identify at least one reference point and a plurality of observation points with respect to a plurality of image data, and set a reference point for the position of at least part of the image data (S540).

The construction topographical map generating unit 330 may generate a construction topographical map for the ground area by matching consecutive image data based on the location reference (S550).

Here, the construction topographic map may include an orthophoto of the ground area and a digital elevation model of the ground area. A digital elevation model is a type of 3D model, and is information including three-dimensional information based on height information (or depth information) of an imaging area.

The dangerous situation detecting unit 340 may manage the dangerous situation for the ground area by extracting dangerous objects from the construction topographical map generated for the ground area and determining the dangerous situation based on the extracted dangerous objects (S560). .

For example, the dangerous situation detecting unit 340 may extract a dangerous object using a construction topographical map and also detect a slope topography for the ground area based on the construction topographical map. Then, the dangerous situation detecting unit 340 A dangerous situation can be determined based on the topographical correlation between the dangerous object and the slope topography.

When a dangerous situation is detected by the dangerous situation detection unit, the earthworks risk notification unit 350 may generate danger notification information including information on the corresponding dangerous situation and provide it to the manager terminal.

Hereinafter, various embodiments of each component of the management server will be described in more detail with reference to FIGS. 6 to 15 .

FIG. 6 is a block diagram illustrating an embodiment of a construction topographical map generating unit shown in FIG. 4 .

7 and 8 are diagrams for explaining the construction topographical map generation unit shown in FIG. An example of three construction topographic maps with a time difference through a total of three observations with the same ISO (400) set is shown, and will be described below with reference to FIGS. 6 to 8.

Referring to FIG. 6 , the construction topographical map generating unit 330 may include a location reference setting module 331, an orthophoto generating module 332, and a digital elevation model generating module 333.

The position reference setting module 331 may match position accuracy using a position reference in order to match position accuracy even in different orders with respect to a plurality of image data. That is, it is used to match positional accuracy by using at least one reference point and a plurality of observation points as positioning standards.

FIG. 7 is a diagram showing the flight course of each unmanned aerial vehicle in three observations, showing that the unmanned aerial vehicle flies along the flight course based on anti-aircraft beacons, i.e., at least one reference point and a plurality of observation points. Here, the reference point may be an anti-aircraft marker indicating the starting point or end point of shooting, and the observation point may be a reference marker for changing the flight path of an unmanned aerial vehicle, for example, a marker indicating an outer slope of a ground area.

In one embodiment, the position reference setting module 331 may perform resolution analysis as well as position reference setting for a plurality of image data. That is, the resolution of the corresponding image data can be analyzed based on the size of the anti-aircraft beacon displayed in the plurality of image data. This is because the unmanned aerial vehicle 100 is photographed at the same photographing altitude, so the resolution can be set based on the size of the anti-aircraft beacons. As a result of analysis, the image resolution shown in FIG. 7 showed a GSD (image resolution) of about 1.9 cm, which satisfies the required image resolution of 2 cm.

The orthophoto generating module 332 may generate an orthophoto of the ground area based on a plurality of image data.

Figures (a) to (c) of FIG. 8 show examples of orthophotos generated from the first to third observations.

For example, the orthophoto generation module 332 may identify a first standard video image based on a reference point, and generate an orthophoto by matching the corresponding video image with a plurality of video data, that is, images that are continuously captured. This matching can be implemented by stitching successive images. Since various methods can be applied to the matching of the plurality of consecutive images, it is not limited to a specific method here. In the case of image data having an observation point, the orthophoto generation module 332 may generate an orthophoto corresponding to the ground area as in the example shown in FIG. 8 by changing and matching the matching direction.

The digital elevation model generation module 333 may generate a digital elevation model by calculating elevation information based on an orthophoto. The digital elevation model (DEM) is a three-dimensional form of spatial information. Since an unmanned aerial vehicle navigates at a constant speed and takes images at regular distance intervals, the digital elevation model generation module 333 uses the parallax in two adjacent 2D image data You can create elevation information of the ground surface. That is, the digital elevation model generation module 333 can calculate the stereoscopic value of the ground surface by calculating the binocular parallax between two adjacent image data since image data is captured at regular intervals. Figures (d) to (f) of FIG. 8 show examples of digital elevation models generated from first to third observations.

9 is a block configuration diagram illustrating an embodiment of the dangerous situation detecting unit shown in FIG. 4 , and FIGS. 10 to 14 are diagrams for explaining the dangerous situation detecting unit shown in FIG. 9 .

Hereinafter, an embodiment of the dangerous situation detection unit 340 will be described with reference to FIGS. 9 to 14 .

First, referring to FIG. 9 , the dangerous situation detection unit 340 may include a dangerous object extraction module 341 , a slope detection module 342 and a dangerous situation identification module 343 .

The dangerous object extraction module 341 may extract a dangerous object existing in the ground area based on a construction topographical map, that is, an orthophoto and a digital elevation model.

In one embodiment, the dangerous object extraction module 341 may extract vehicles and heavy equipment objects or construction material objects existing in the ground area as dangerous objects based on the orthophoto and the digital elevation model.

As an example, the dangerous object extraction module 341 holds feature information about vehicle and heavy equipment objects—for example, the feature information is about the plan view features of vehicles and heavy equipment—and provides information on vehicle and heavy equipment objects in orthophotos. By identifying feature information, vehicle and heavy equipment objects existing in the ground area can be extracted as dangerous objects. 11 illustrates an example of identifying such a vehicle object and setting it as a dangerous object. In this way, since the plane information of vehicles and heavy equipment has a distinctive feature from soil and other construction materials, there is a high possibility of mis-extraction even if only orthophotos are extracted, and resources required for extraction are extracted only from orthophotos. can be effectively lowered.

For example, the dangerous object extraction module 341 may extract a construction material object as a dangerous object based on an orthophoto and a digital elevation model. That is, the dangerous object extraction module 341 may extract a construction material object from an orthophoto using feature information on a planar feature of the construction material. Thereafter, the construction material object extracted in this way can be verified by using the height information of the numerical elevation model. 12 shows an example of a digital elevation model for identifying such a construction material. As shown, when the height information in the digital elevation model has a step change of more than a certain level compared to the ground surface, the corresponding object is a construction material object. can be verified as In this way, in the case of construction materials, since there are various types and loading types can be variously deformed, the quality of construction materials is verified based on height characteristics using a digital elevation model after detection as a visual feature based on an orthophoto. Identification can be performed accurately.

The slope detection module 342 may detect the slope topography of the ground area based on the digital elevation model. 13 shows a digital elevation model explaining an example of such slope topography detection. As in the example of FIG. 13 , the slope detection module 342 may identify an area having a slope exceeding a predetermined threshold slope and set the corresponding area as a slope area.

In one embodiment, the slope detection module 342 may set the slope area by dividing it into a dangerous area and a non-dangerous area. That is, in the slope region, a slope region having a slope exceeding the critical slope and a region higher than the slope region based on the slope region, that is, a region including a high starting surface of the slope may be set as the risk region. In addition, as an area lower than the slope area, a flat area extending from the lower end surface of the slope—an area having a slope lower than the critical slope is also determined as a plane area—can be classified as a non-hazardous area. FIG. 14 illustrates an example of setting the slope area of FIG. 13 by dividing it into a danger area (Area1) and a non-danger area (Area2).

The dangerous situation identification module 343 may determine the dangerous situation based on the topographical correlation between the dangerous object and the slope topography.

In one embodiment, the dangerous situation identification module 343 may determine a dangerous situation when the dangerous object is geographically adjacent to the slope terrain, that is, when it exists within a preset range.

In one embodiment, the dangerous situation identification module 343 selects a dangerous area from the slope topography, and may determine a dangerous situation when topographically adjacent to a dangerous object based on the dangerous area of the slope topography. In such an embodiment, when there is a dangerous object in a non-dangerous area, which is a low flat part of the slope, it is not determined as a dangerous situation, so there is an advantage in that a more accurate dangerous situation can be determined.

The present invention described above is not limited by the above-described embodiments and the accompanying drawings, but is limited by the claims to be described later, and the configuration of the present invention can be varied within a range that does not deviate from the technical spirit of the present invention. Those skilled in the art can easily know that the present invention can be changed and modified accordingly.

100: drone
300: management server
500: administrator terminal
110: power supply unit 120: flight control unit
130: image capture unit 140: data storage unit
150: Ministry of Communication
301: system memory 302: operating system
303: processing unit 304: storage
305: input device 306: output device
307: communication device
310: data collection unit 320: UAV flight control unit
330: Construction Topographic Map Generation Unit 340: Danger Situation Detection Unit
350: earthwork risk notification unit
331: position reference setting module 332: orthophoto generation module
333: digital elevation model generation module
341: dangerous object extraction module 342: slope detection module
343: dangerous situation identification module

Claims (12)

An unmanned aerial vehicle that flies along a set flight path to generate and provide a plurality of image data for a preset ground area; and
a management server providing the flight path to the unmanned aerial vehicle and matching the plurality of image data to create a construction topographical map of the ground area;
including,
The management server,
Managing the dangerous situation for the ground area by extracting a dangerous object from the construction topographical map generated for the ground area and determining a dangerous situation based on the extracted dangerous object;
An earthwork risk situation analysis system using unmanned aerial vehicles.
The method of claim 1, wherein the management server,
After extracting the dangerous object with respect to the construction topographical map, detecting the slope topography for the ground area based on the construction topographical map, and determining the dangerous situation based on the topographical correlation between the dangerous object and the slope topography,
An earthwork risk situation analysis system using unmanned aerial vehicles.
According to claim 2,
The management server,
Setting a flight path including information on at least one reference point and a plurality of observation points and providing the information to the unmanned aerial vehicle;
The unmanned aerial vehicle,
Generating a plurality of image data for the ground area by flying along the flight path based on at least one reference point and a plurality of observation points located on the ground,
An earthwork risk situation analysis system using unmanned aerial vehicles.
The method of claim 3, wherein the management server,
a UAV flight control unit generating a flight path including information on at least one reference point and a plurality of observation points associated with the ground area and providing the information to the unmanned aerial vehicle;
a data collection unit that collects a plurality of image data of the ground area from the unmanned aerial vehicle; and
The at least one reference point and the plurality of observation points are identified with respect to the plurality of image data to set a location standard of at least some image data, and the construction of the ground area is performed by matching successive image data based on the location standard. a construction topographical map generating unit that generates a topographical map;
including,
An earthwork risk situation analysis system using unmanned aerial vehicles.
The method of claim 4, wherein the construction topography
Comprising an orthophoto of the terrestrial area and a digital elevation model for the terrestrial area,
An earthwork risk situation analysis system using unmanned aerial vehicles.
The method of claim 5, wherein the management server,
Based on the orthophoto and the digital elevation model, vehicles and heavy equipment objects or construction material objects existing in the ground area are extracted as the dangerous objects, and slope topography for the ground area is detected based on the digital elevation model; a dangerous situation detecting unit for determining the dangerous situation based on the topographical correlation between the dangerous object and the slope topography;
Including more,
An earthwork risk situation analysis system using unmanned aerial vehicles.
The method of claim 6, wherein the management server,
When a dangerous situation is detected by the dangerous situation detecting unit, an earthworks risk notification unit generating danger notification information including information on the corresponding dangerous situation and providing it to a manager terminal;
Including more,
An earthwork risk situation analysis system using unmanned aerial vehicles.
An earthwork risk situation analysis method performed by an earthwork risk situation analysis system including an unmanned aerial vehicle and a management server that manages the earthwork process in conjunction with the unmanned aerial vehicle,
setting, by the management server, a flight path including information on at least one reference point and a plurality of observation points and providing the information to the unmanned aerial vehicle;
generating and providing, by the unmanned aerial vehicle, a plurality of image data for a preset ground area by flying along the set flight path;
generating, by the management server, a construction topographical map of the ground area by matching the plurality of image data provided from the unmanned aerial vehicle; and
extracting dangerous objects from the construction topographical map generated for the ground area, determining a dangerous situation based on the extracted dangerous objects, and managing the dangerous situation for the ground area;
including,
A method for analyzing risk situations in earthworks using unmanned aerial vehicles.
The method of claim 8, wherein the generating of the construction topographical map comprises:
Collecting, by the management server, a plurality of image data of the ground area from the unmanned aerial vehicle;
identifying, by the management server, the at least one reference point and the plurality of observation points with respect to the plurality of image data, and setting a location standard of at least some of the image data; and
generating, by the management server, a construction topographical map of the land area by matching consecutive image data based on the location reference;
including,
A method for analyzing risk situations in earthworks using unmanned aerial vehicles.
The method of claim 8, wherein the step of determining a dangerous situation based on the extracted dangerous object and managing the dangerous situation for the ground area comprises:
extracting vehicles and heavy equipment objects or construction material objects existing in the ground area as the dangerous objects based on the orthophoto and the digital elevation model;
detecting a slope topography of the ground area based on the digital elevation model; and
determining the dangerous situation based on a topographical correlation between the dangerous object and the slope topography;
including,
A method for analyzing risk situations in earthworks using unmanned aerial vehicles.
The method of claim 8, wherein the earthworks risk situation analysis method,
generating and providing danger notification information including information on the corresponding dangerous situation to an administrator terminal when the dangerous situation is detected;
Including more,
A method for analyzing risk situations in earthworks using unmanned aerial vehicles.
A storage medium storing computer readable instructions,
The instructions, when executed by the management server, cause the management server to:
setting a flight path including information on at least one reference point and a plurality of observation points and providing the information to the unmanned aerial vehicle;
generating a construction topographical map for a ground area by matching a plurality of image data provided from the unmanned aerial vehicle; and
After extracting a dangerous object from the construction topographical map generated for the ground area, and detecting a slope topography for the ground area based on the construction topographical map, the topographic correlation between the dangerous object and the slope topography An operation to determine a dangerous situation;
A storage medium that allows to perform

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