KR20170037696A - Emergency rescue system using unmanned aerial vehicle and method thereof - Google Patents
Emergency rescue system using unmanned aerial vehicle and method thereof Download PDFInfo
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- KR20170037696A KR20170037696A KR1020150135980A KR20150135980A KR20170037696A KR 20170037696 A KR20170037696 A KR 20170037696A KR 1020150135980 A KR1020150135980 A KR 1020150135980A KR 20150135980 A KR20150135980 A KR 20150135980A KR 20170037696 A KR20170037696 A KR 20170037696A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
- B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0269—System arrangements wherein the object is to detect the exact location of child or item using a navigation satellite system, e.g. GPS
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/14—Central alarm receiver or annunciator arrangements
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B27/00—Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
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Abstract
Description
The present invention relates to an emergency response system and method using an unmanned aerial vehicle, and more particularly, to an emergency response system and method using an unmanned aerial vehicle capable of emergency response using an unmanned aerial vehicle in the event of an accident.
The government provides emergency response services using emergency telephone numbers such as 112 and 119 to safely rescue people from various emergency situations such as sudden medical accidents, crime, fire and disaster and to reduce property loss.
In such an emergency response service, it is important to arrive at the site as soon as possible in order to quickly and safely rescue people and reduce the loss of property. Also, after arriving at the site, it is important to collect information on the site, such as the location of the people who need the structure of the accident, the structure of the building and the structure, and take measures accordingly.
However, it is often difficult for the incident response team to arrive at the site quickly due to narrow alleys, traffic congestion, etc., and it may be difficult to collect accurate site information and establish appropriate response measures due to the complexity of the site such as the complex structure of high-rise buildings .
SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide an unmanned aerial vehicle capable of rapidly arriving at an accident site using an unmanned air vehicle in the event of an accident, And provides an emergency response system and method using a flight vehicle.
The present invention also provides a computer-readable recording medium storing a program for causing a computer to execute an emergency response method using the above-mentioned unmanned aerial vehicle.
The problems to be solved by the present invention are not limited to the above-mentioned problems, and other matters not mentioned can be clearly understood by those skilled in the art from the following description.
According to an aspect of the present invention, there is provided an emergency response system using an unmanned aerial vehicle, which acquires image information while flying according to a flight path generated based on received destination information, A unmanned aerial vehicle for calculating a traveling route to a destination; And a mobile terminal for receiving the traveling route and the image information from the unmanned air vehicle.
The unmanned air vehicle further includes a flight communication unit for communicating with the mobile terminal and receiving the destination information; A GPS receiver for receiving GPS information; And a flight control unit for generating the flight path based on the destination information and controlling the flight according to the flight path based on the GPS information.
In addition, the unmanned aerial vehicle includes a photographing unit; And an image analyzing unit for analyzing an image of the photographing unit and detecting an event.
In addition, the flight control unit may optimize the traveling route in real time based on the event.
Also, the airplane control unit may map the traveling route to the GIS information and transmit the same to the mobile terminal through the air communication unit.
In addition, the image analyzer may set a region of interest in the image information of the destination, and may derive feature information of the detected event in the region of interest.
In addition, the airplane control unit may calculate positional information on the event using the GIS information and the GPS information, and may transmit the positional information together with the feature information to the mobile terminal through the air communication unit.
The image analyzing unit may detect at least one of brightness data, color data, and motion data of the image.
The image analyzing unit may compare at least one of the detected brightness data, color data, and motion data with at least one corresponding data among the threshold brightness data, the threshold color data, and the threshold motion data to detect the event .
Also, the mobile terminal includes: a terminal input unit for inputting command information on the unmanned aerial vehicle; A terminal communication unit for wirelessly communicating with the unmanned aerial vehicle; A terminal control unit for remotely controlling the unmanned aerial vehicle according to the command information; And a terminal output unit for outputting the traveling route and the image information transmitted from the unmanned air vehicle.
In addition, the mobile terminal further includes a terminal storage unit, and the storage unit stores GIS information and may store various information transmitted from the unmanned aerial vehicle.
Further, the terminal control unit may display the traveling route together with the GIS information and output the same to the terminal output unit.
In addition, the mobile terminal may further include an authentication unit that authenticates an authority to access the unmanned air vehicle.
In addition, the mobile terminal includes a plurality of mobile terminals, and a mobile terminal, which is first authenticated as an authority to connect to the unmanned air vehicle by the authentication unit among a plurality of mobile terminals, can remotely control the unmanned air vehicle.
In addition, the mobile terminal includes a plurality of mobile terminals, and each of the mobile terminals may further include a GPS receiver for receiving GPS information.
The unmanned aerial vehicle includes GPS information of each mobile terminal, extracts an event by analyzing image information at the destination, and transmits the GPS information and the event to a mobile terminal The control authority of the mobile terminal can be changed to another mobile terminal.
According to an aspect of the present invention, there is provided an emergency response method using an unmanned aerial vehicle, comprising: receiving destination information; Generating a flight path based on the destination information; Flying according to the flight path; Capturing and acquiring image information during the flight; Analyzing the image information; Calculating a traveling route to a destination based on the analyzed image information; And transmitting the traveling route to the mobile terminal.
Analyzing the image information at the destination; Extracting an event from the image information; And transmitting the image information and the event to the mobile terminal.
Deriving the feature information from the event; Calculating location information on the event using GIS information and GPS information; And transmitting the location information together with the feature information to the mobile terminal.
According to another aspect of the present invention, there is provided a computer-readable recording medium storing a program for causing a computer to execute an emergency response method using an unmanned aerial vehicle according to an embodiment of the present invention.
Other specific details of the invention are included in the detailed description and drawings.
According to the present invention, when an accident occurs, a team can quickly arrive at an accident site using an unmanned aerial vehicle.
Also, in case of an accident, the team can use the unmanned aerial vehicle to collect correct information at the accident site and take appropriate countermeasures.
In addition, by responding to accidents accurately and quickly, it is possible to provide an emergency response service capable of safely rescuing persons from various emergency situations and reducing property loss.
1 is a conceptual diagram of an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention.
2 is a block diagram of the unmanned aerial vehicle of FIG.
3 is a block diagram of the mobile terminal of FIG.
4 is a diagram illustrating a flight path of an unmanned aerial vehicle in an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention.
5 is a view showing a traveling route of an emergency response vehicle using a mobile terminal in an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention.
6 is a view illustrating a traveling path displayed on a mobile terminal in an emergency response system using an unmanned air vehicle according to an embodiment of the present invention.
7 is a diagram for explaining an example of image analysis.
FIG. 8 is a diagram showing an example of the feature information derived from the ROI in FIG.
9 is a signal flow diagram of an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention.
10 is a conceptual diagram of an emergency response system using an unmanned aerial vehicle according to another embodiment of the present invention.
11 is a signal flow diagram of an emergency response system using an unmanned aerial vehicle according to another embodiment of the present invention.
12 is a flowchart of an emergency response method using an unmanned aerial vehicle according to an embodiment of the present invention.
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.
Although the first, second, etc. are used to describe various elements, components and / or sections, it is needless to say that these elements, components and / or sections are not limited by these terms. These terms are only used to distinguish one element, element or section from another element, element or section. Therefore, it goes without saying that the first element, the first element or the first section mentioned below may be the second element, the second element or the second section within the technical spirit of the present invention.
The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. As used herein, the terms "comprises" and / or "made of" means that a component, step, operation, and / or element may be embodied in one or more other components, steps, operations, and / And does not exclude the presence or addition thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.
In this regard, throughout the specification, like reference numerals refer to like elements, and it will be understood that each configuration of the processing flowchart diagrams and combinations of flowchart illustrations may be performed by computer program instructions. These computer program instructions may be loaded into a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, so that those instructions, which are executed through a processor of a computer or other programmable data processing apparatus, Thereby creating means for performing functions.
It should also be noted that in some alternative embodiments, the functions mentioned in the configurations may occur out of order. For example, the two configurations shown in succession may in fact be performed substantially concurrently, or the configurations may sometimes be performed in reverse order according to the corresponding function.
Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.
1 is a conceptual diagram of an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention. 2 is a block diagram of the unmanned aerial vehicle of FIG. 3 is a block diagram of the mobile terminal of FIG.
1 to 3, an
The
2, the
The flight communication unit 110 communicates with the
The GPS receiving unit 120 receives GPS information. The
The airplane control unit 130 controls the
In addition, the airplane control unit 130 analyzes the image information and calculates the travel route to the destination. For example, the flight control unit 130 calculates a traveling route that can reach the destination in the earliest time based on the analysis information of the image photographed during flight, and transmits the traveling route to the
The photographing unit 140 photographs the
The image analysis unit 150 processes the image information to acquire image data and convert the image into a compressed format in which the image is compressed to facilitate data transmission. The video data in the form of a compressed format may have various formats such as Moving Picture Experts Group (MPEG) -1 or MPEG-4. In particular, the image analysis unit 150 can detect an object by analyzing the image of the photographing unit 140, and can detect a specific event. Here, the object includes a specific object such as a vehicle or a person, and an event includes all situations in which the image data of the image can be changed, such as a change in the position of the object, a change in a specific situation such as a fire or the like. At this time, the image analyzer 150 may set the region of interest in the image information and derive the feature information of the detected event in the region of interest.
Specifically, the image analysis unit 150 can detect an object using feature extraction and feature extraction that extracts visual feature information of an object to be detected from an image input from the photographing unit 140 . At this time, there are a method of using a learning machine such as AdaBoost or SVM (Support Vector Machine) at the time of detecting an object and a non-learning method using vector similarity of extracted features, The learning method and the non-learning method can be appropriately selected and used according to the complexity of the program. For example, a Haar-like feature that uses the sum of weight products using the difference in the sum of pixel values (pixels) between two or more adjacent blocks in a local feature of the image, feature can be applied. To extract the difference between the sum of the pixel values of neighboring blocks in extracting the Hahn-like feature, a mask considering a simple square feature is used.
In addition, the image analysis unit 150 can detect a change in the position of the object in the captured image using the image recognition algorithm. For example, the motion of an object can be detected from an image using a mean shift algorithm or a particle filter algorithm. Of course, those skilled in the art will appreciate that other algorithms can be used to detect motion of an object.
Here, the mean shift algorithm enables high-speed tracking of a region of interest (ROI) based on density distribution (feature point, color) in an image, , Color clusters are generated by the iterative color division calculation, and the motion of the object of interest can be extracted by determining the boundary based on the initially designated color region. The Particle Filter algorithm is a kind of particle based Kalman filter which estimates the probability distribution of the current state variables by using the observed values and the random state variables obtained from the modeled system equations. will be.
The authority permitting unit 160 may allow an external server or the
The flight body storage unit 170 stores various information and data received from the outside and stores various types of information such as images captured by the photographing unit 140 and image data analyzed by the image analysis unit 150, Information, and data. In particular, the GIS information may be received externally via the flight communication unit 110, but GIS information may be stored in the flight object storage unit 170. The flight control unit 130 can map the traveling route to the GIS information stored in the flight object storage unit 170 and transmit the same to the
The
3, the
The terminal input unit 210 is an input interface through which the
The terminal communication unit 220 wirelessly communicates with the
The terminal control unit 230 can remotely control the unmanned aerial vehicle and can control the unmanned aerial vehicle remotely according to the command information inputted by the
The terminal output unit 240 serves to display and provide information to the
The terminal storage unit 250 stores various information and data received from the outside, and can receive and store the information and data generated by the unmanned
The authentication unit 260 serves to authenticate the authority to access the unmanned
The GPS receiver 270 receives the GPS information. The
4 is a diagram illustrating a flight path of an unmanned aerial vehicle in an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention. 5 is a view showing a traveling route of an emergency response vehicle using a mobile terminal in an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention. 6 is a diagram illustrating a traveling route displayed on a mobile terminal in an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention.
Referring to FIG. 4, when a fire report is received in a fire department or the like, the
Here, it is general that the
Then, the
At this time, in consideration of the speed of the
Referring to FIG. 5, the
For example, in FIG. 5, even when the
Referring to FIG. 6, the optimal travel route P2 calculated by the
7 is a diagram for explaining an example of image analysis. FIG. 8 is a diagram showing an example of the feature information derived from the ROI in FIG.
Referring to FIG. 7, the
Specifically, the image analysis unit 150 may detect at least one of brightness data, color data, and motion data of the image in the image, and may detect at least one of the detected brightness data, The at least one of the data may be compared with at least one of the threshold brightness data, the threshold color data, and the threshold motion data to detect the event.
For example, when smoke occurs, or when a person or an object appears and the background becomes dark, the brightness data of the image may decrease. Using this feature, the image analyzer 150 can detect an event such as the generation of smoke or the movement of the object when the brightness data exceeds the preset threshold value of the brightness data.
In addition, if there are color data of red and yellow series in a certain level or more in the image, it can be judged that the flame is spreading. Using this feature, the image analyzer 150 can detect an event of fire occurrence when the specific gravity of the red and yellow data among the color data is greater than a predetermined threshold specific gravity.
And, if the motion is detected in the image, or if the degree of motion is greater than the degree of motion of the stored reference motion data, an event can be detected that the object is moving or the flame is worn.
The event detected by the image analyzing unit 150 is transmitted to the
Referring to FIG. 8, the image analyzer 150 may extract the feature information of the object O detected in the region of interest (ROI). That is, the image analysis unit 150 may extract the feature information of the event detected in the ROI and transmit the feature information to the
For example, the image analyzer 150 may extract the feature information of the object O to be detected in the ROI set in the image. For example, after designating an initial search window area at the initial position of the object O shown in the image information, a color probability distribution is calculated, a central pixel of the object is searched in the inside and outside of the search window area, Return the pixel position, and reduce the search window size. It is possible to estimate the size of the object O by repeating the above steps and estimating the pixels of the moving object O and converting it into the actual scale using the correction table and then outputting it. Accordingly, in the case of a person, it is possible to estimate whether the adult or child can be estimated in consideration of the size of the object O, etc., and to estimate the size of the hair in the object O to estimate a male or female.
At this time, the flight control unit 130 may calculate position information on the event using the GIS information and the GPS information. The flight control unit 130 transmits the position information together with the feature information through the flight communication unit 110 To the terminal 200. Accordingly, the
9 is a signal flow diagram of an emergency response system using an unmanned aerial vehicle according to an embodiment of the present invention.
Referring to FIG. 9, an
When the
The image captured by the
In addition, the unmanned
Then, the
10 is a conceptual diagram of an emergency response system using an unmanned aerial vehicle according to another embodiment of the present invention.
Referring to FIG. 10, an emergency response system using an unmanned aerial vehicle according to another embodiment of the present invention may include a plurality of unmanned aerial vehicles (100) and a plurality of mobile terminals (200). In FIG. 10, only three unmanned aerial vehicles (100a, 100b, 100c) and two mobile terminals (200a, 200b) are shown but it should be apparent to those skilled in the art. The following description will be made with reference to FIG. Specific components of the respective unmanned
The
The
Preferably, one unmanned
11 is a signal flow diagram of an emergency response system using an unmanned aerial vehicle according to another embodiment of the present invention.
11, an emergency response system using an unmanned aerial vehicle according to another embodiment of the present invention is acquired by the
In this case, each of the
In addition, the
During the flight of the
For example, when a fire occurs in a plurality of buildings, and one of the buildings is injured, a user of the
12 is a flowchart of an emergency response method using an unmanned aerial vehicle according to an embodiment of the present invention.
Referring to FIG. 12, in an emergency response method using an unmanned aerial vehicle according to an embodiment of the present invention, the
In addition, the
In addition, the
Further, more accurate data can be obtained by operating the unmanned aerial vehicle (100) at the mobile terminal (200) in a dangerous place where the emergency response team such as a fire scene is very difficult to access. The right to operate the unmanned
Meanwhile, the emergency response method using an unmanned aerial vehicle according to an embodiment of the present invention can be implemented as one module by software and hardware, and the embodiments of the present invention described above can be created as a program that can be executed in a computer, And can be implemented in a general-purpose computer that operates the program using a computer-readable recording medium. The computer-readable recording medium is implemented in the form of a carrier wave such as a ROM, a floppy disk, a magnetic medium such as a hard disk, an optical medium such as a CD or a DVD, and a transmission through the Internet. In addition, the computer-readable recording medium may be distributed to a network-connected computer system so that computer-readable codes may be stored and executed in a distributed manner.
The components or parts used in the embodiments of the present invention may be software such as a task, a class, a subroutine, a process, an object, an execution thread, a program, field-programmable gate array (ASIC), or an application-specific integrated circuit (ASIC), or a combination of the above software and hardware. The components or parts may be included in a computer-readable storage medium, or a part of the components may be distributed to a plurality of computers.
While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.
10: Emergency response system using unmanned aerial vehicle
100: unmanned vehicle
110: Flight communication unit 120: GPS receiver
130: Flight control unit 140:
150: Image analysis unit 160: Authorization unit
170:
200: mobile terminal
210: terminal input unit 220: terminal communication unit
230 terminal control unit 240 terminal output unit
250: terminal storage unit 260: authentication unit
270: GPS receiver
Claims (10)
And a mobile terminal for receiving the traveling route and the image information from the unmanned aerial vehicle.
In the unmanned aerial vehicle,
A flight communication unit that communicates with the mobile terminal and receives the destination information;
A GPS receiver for receiving GPS information; And
And a flight control unit for generating the flight path based on the destination information and controlling the flight in accordance with the flight path based on the GPS information.
In the unmanned aerial vehicle,
A photographing unit; And
And an image analyzing unit for analyzing the image of the photographing unit to detect an event.
Wherein the airplane control unit optimizes the traveling route in real time based on the event.
Wherein the image analyzing unit sets a region of interest in the image information of the destination and derives feature information of the detected event in the region of interest.
Wherein the airplane control unit calculates position information on the event using the GIS information and the GPS information and transmits the position information together with the characteristic information to the mobile terminal through the air communication unit, Supported systems.
The mobile terminal,
A terminal input unit for inputting command information for the unmanned aerial vehicle;
A terminal communication unit for wirelessly communicating with the unmanned aerial vehicle;
A terminal control unit for remotely controlling the unmanned aerial vehicle according to the command information; And
And a terminal output unit for outputting the traveling route and the image information transmitted from the unmanned aerial vehicle.
The mobile terminal,
Further comprising an authentication unit for authenticating an authority to connect to the unmanned aerial vehicle.
The mobile terminal includes a plurality of mobile terminals,
Wherein the mobile terminal, which is first authorized to access the unmanned aerial vehicle by the authentication unit, remotely controls the unmanned aerial vehicle among the plurality of mobile terminals, using the unmanned air vehicle.
Receiving destination information;
Generating a flight path based on the destination information;
Flying according to the flight path;
Capturing and acquiring image information during the flight;
Analyzing the image information;
Calculating a traveling route to a destination based on the analyzed image information; And
And transmitting the traveling route to the mobile terminal.
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KR20230143319A (en) * | 2022-04-05 | 2023-10-12 | 인하대학교 산학협력단 | Method and System for Fire Response based on Smart Unmanned Self-Driving Platform |
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