WO2019164035A1 - Automatic accident rescue request method and system using smartphone - Google Patents

Automatic accident rescue request method and system using smartphone Download PDF

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Publication number
WO2019164035A1
WO2019164035A1 PCT/KR2018/002247 KR2018002247W WO2019164035A1 WO 2019164035 A1 WO2019164035 A1 WO 2019164035A1 KR 2018002247 W KR2018002247 W KR 2018002247W WO 2019164035 A1 WO2019164035 A1 WO 2019164035A1
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WIPO (PCT)
Prior art keywords
vehicle
sound
speed
accident
state
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PCT/KR2018/002247
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French (fr)
Korean (ko)
Inventor
원강희
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주식회사 알티스트
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Priority to PCT/KR2018/002247 priority Critical patent/WO2019164035A1/en
Publication of WO2019164035A1 publication Critical patent/WO2019164035A1/en

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
    • B60R21/02—Occupant safety arrangements or fittings, e.g. crash pads
    • B60R21/16—Inflatable occupant restraints or confinements designed to inflate upon impact or impending impact, e.g. air bags
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/10—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
    • B60R25/102—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B60W40/105—Speed

Definitions

  • the present invention is a method and system for requesting automatic rescue of accidents using a smart phone. to be.
  • the present invention is to automatically report when the driver can not report directly due to a big accident to minimize the damage to life.
  • the automatic accident request method includes collecting information about a vehicle; Detecting a speed of the vehicle and calculating a change amount of the speed of the vehicle; Detecting a sound outside the vehicle and a sound inside the vehicle; And determining whether an accident of the vehicle occurs based on the calculated change amount of the speed of the vehicle and the sensed sound.
  • the calculating may include dividing the detected speed of the vehicle by a predetermined time interval and calculating a change amount of the speed of the vehicle according to the preset unit time.
  • the determining may include comparing the calculated change in speed of the vehicle with a preset threshold change, and when the calculated change in speed of the vehicle exceeds a preset threshold change, determining the state of the vehicle as a collision state.
  • a first judging step ; And a machine-learned model for a sound in which the volume of the sound sensed from the outside of the vehicle is greater than a preset threshold sound or the sound sensed inside the vehicle is changed into an inflated state due to the collision of the vehicle.
  • the second determination step after determining the state of the vehicle as a collision state in the first determination step, the second determination step may be performed.
  • the automatic accident request method may further include a rescue request step of requesting the rescue engine server to store previously stored information including the current location of the vehicle when it is determined that the accident has occurred in the vehicle. have.
  • the automatic accident request system for accident comprises a communication module for collecting information about the vehicle; A speed sensing module detecting a speed of the vehicle; A sound detection module detecting a sound of the vehicle; And an analysis module for analyzing whether a vehicle accident occurs based on information detected by the speed detection module and the sound detection module.
  • FIG. 1 is a schematic diagram of an automatic accident rescue request system using a smartphone according to an embodiment of the present invention.
  • FIG. 2 is an exemplary block diagram of an automatic accident rescue system according to an embodiment of the present invention.
  • FIG 3 is an exemplary flowchart of an automatic accident rescue request method according to an embodiment of the present invention.
  • the terms ' ⁇ ', ' ⁇ ', ' ⁇ block', ' ⁇ module', etc. used throughout the present specification may mean a unit for processing at least one function or operation.
  • it can mean a hardware component such as software, FPGA, or ASIC.
  • ' ⁇ ', ' ⁇ ', ' ⁇ block', ' ⁇ module', etc. are not limited to software or hardware.
  • ' ⁇ ', ' ⁇ ', ' ⁇ ', ' ⁇ ' May be configured to reside in an addressable storage medium or may be configured to play one or more processors.
  • ' ⁇ ', ' ⁇ ', ' ⁇ block', ' ⁇ module' are components such as software components, object-oriented software components, class components, and task components. And processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays And variables.
  • the components and the functions provided within ' ⁇ ', ' ⁇ ', ' ⁇ ', ' ⁇ ', ',' ⁇ Module 'or may be further separated into additional components,' ⁇ part ',' ⁇ group ',' ⁇ block ',' ⁇ module '.
  • FIG. 1 is a schematic diagram of an automatic accident rescue request system using a smartphone according to an embodiment of the present invention.
  • Accident automatic rescue request system is to reduce the human injury is automatically reported when the driver can not report directly after a large accident on the rare road.
  • the automatic rescue request system for accidents is configured to provide accident occurrence information and rescue request signals through an automatic rescue request process which will be described later, in which the user terminal 100 is connected to the vehicle 200 through a wired or wireless network. It can be delivered to the server 300 held.
  • the user terminal 100 may be a mobile device such as a smart phone, a tablet PC, a smart glass, a smart watch.
  • a mobile device such as a smart phone, a tablet PC, a smart glass, a smart watch.
  • the present invention is not limited to the above-described mobile device, and any device may be used as long as the device is equipped with a processor that can be carried by the user in the vehicle to detect and process the speed and sound of the vehicle.
  • the user terminal 100 may communicate using short-range wireless data communication such as Bluetooth or Wi-Fi, but the data communication method between the user terminal 30 and the automatic accident request system 100 is short-range wireless data communication. It is not only limited to long distance communication technology and wired Internet technology can also be.
  • the rescue engine server 300 refers to a server held by the institutions necessary for the probation of a vehicle accident. For example, agencies that are needed for vehicle accidents such as fire departments, police departments, medical institutions and insurance companies. However, it is also possible to contact the guardian who the user has registered in advance.
  • FIG. 2 is an exemplary block diagram of an automatic accident rescue system according to an embodiment of the present invention.
  • the automatic accident request system 100 includes a communication module 110, a detection module 120 and 130, an analysis module 140, and a database unit 150.
  • the communication module 110 collects information about the vehicle.
  • the information about the vehicle refers to information such as speed information of the vehicle, sound inside the vehicle, and sound outside the vehicle.
  • the speed detection module 120 detects the speed of the vehicle by using a speed sensing sensor such as an acceleration sensor, a gyro sensor, and a GPS sensor built in the user terminal 100. And, through the communication module 110 can receive the speed information of the vehicle through the data recorded through a computer device such as the on-board diagnostic device (OBD) of the vehicle.
  • a speed sensing sensor such as an acceleration sensor, a gyro sensor, and a GPS sensor built in the user terminal 100.
  • OBD on-board diagnostic device
  • the sound detection module 130 detects sounds generated inside and outside the vehicle.
  • the noise inside the vehicle may be an airbag sound, a voice of a user, an internal impact sound, and the like
  • the noise outside the vehicle may be a collision sound of the vehicle.
  • the analysis module 140 analyzes whether a vehicle accident occurs based on the information detected by the speed sensing module 120 and the sound sensing module 130.
  • the analysis module 140 compares the speed change amount of the vehicle calculated by the speed detection module 120 with a preset threshold change amount, and as a result of the comparison, the calculated change amount of the speed of the vehicle is preset. When the threshold change amount is exceeded, the state of the vehicle is determined as the collision state.
  • the analysis module 140 may generate a machine-learned model for a sound in which the sound sensed from the outside of the vehicle is greater than a preset threshold sound or the sound detected inside the vehicle collides with the vehicle and the airbag is changed into an inflated state.
  • the state of the vehicle is determined as the collision state.
  • FIG 3 is an exemplary flowchart of an automatic accident rescue request method according to an embodiment of the present invention.
  • the automatic accident request method includes collecting vehicle information (S10), calculating a change amount of the speed of the vehicle (S20), detecting a sound inside and outside the vehicle (S30), It is composed of the flow of the step (S40) and the rescue request step (S50) for determining whether a vehicle accident occurs.
  • the user terminal 100 is first connected with the vehicle 200 to receive information about the vehicle from the vehicle.
  • the information about the vehicle refers to information about the vehicle such as the type of vehicle, the year, the mileage, the vehicle owner, and the vehicle driver.
  • the step of receiving the speed information of the vehicle 200 or receiving the speed information of the vehicle using the sensor of the user terminal 100 to calculate the change amount of the speed of the vehicle 200 (S20) is the speed of the vehicle 200
  • the amount of change in the speed of the vehicle 200 is calculated according to the preset unit time by dividing the interval into predetermined time intervals.
  • the determining step S40 is divided into a first determination step and a second determination step.
  • the first determining step compares the calculated change amount of the speed of the vehicle with a preset threshold change amount, and, as a result of the comparison, determines the state of the vehicle as a collision state when the calculated change amount of the speed exceeds the preset threshold change amount. do.
  • the second determination step may be performed by using a machine-learned model for the sound generated in the airbag inflated state, or the volume of the sound detected from the outside of the vehicle is greater than a preset threshold sound level.
  • a machine-learned model for the sound generated in the airbag inflated state or the volume of the sound detected from the outside of the vehicle is greater than a preset threshold sound level.
  • the second determination step is performed after determining the state of the vehicle as the collision state in the first determination step.
  • the rescue request step (S50) if it is finally determined that the accident occurred in the vehicle in the determining step, the rescue request to the rescue engine server 300 previously stored information including the current location of the vehicle.
  • the rescue request step S50 may send information of the number of occupants in the vehicle to the rescue engine server 300.
  • the interior of the vehicle may be photographed using a camera installed in the user terminal 100, and the number of occupants may be counted by detecting whether or not a person is boarded through analysis of an image captured by the camera in the analysis module 140. have.
  • the number of occupants may be counted by calculating the number of people included in the image by using a technique such as feature point extraction of a person based on information captured by the camera.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Transportation (AREA)
  • Alarm Systems (AREA)

Abstract

The present invention relates to an automatic accident rescue request method and comprises the steps of: collecting information relating to a vehicle; detecting the speed of the vehicle and calculating the variation in the speed of the vehicle; detecting sounds outside the vehicle and sounds inside the vehicle; and determining whether or not the vehicle is in an accident on the basis of the calculated variation in the speed of the vehicle and the detected sounds.

Description

스마트폰을 이용한 사고 자동 구조 요청 방법 및 시스템Method and system for requesting automatic rescue of accidents using smartphone
본 발명은 스마트폰을 이용한 사고 자동 구조 요청 방법 및 시스템으로, 대한민국 과학기술정보통신부의 지원을 받아 수행된 "클라우드 맵 기반의 자율이동 서비스 다양성 지원을 위한 개방형 PnP형 플랫폼 기술 개발" 연구과제의 산출물이다.The present invention is a method and system for requesting automatic rescue of accidents using a smart phone. to be.
차량 사고에서 인명 피해를 최소화 하기 위해서는 빠르게 구조대에 신고를 해야하고, 또 정확한 위치도 전달해야 한다. 하지만, 대형 사고의 경우에는 운전자나 동승자가 빠르게 신고를 하기 어려우며, 또 자주 다니던 도로가 아닌 경우에는 정확한 위치를 전달하기도 매우 어렵다. 이러한 문제들로 인해 외상 환자의 이송이 지연되는 경우에는 더 큰 인적 피해를 초래할 수 있다.In order to minimize casualties in vehicle accidents, it is necessary to report to the rescue team quickly and deliver the exact location. However, in the case of a large accident, it is difficult for a driver or passenger to report quickly, and it is very difficult to convey the exact location when the road is not frequented. These problems can lead to greater human damage if the trauma patient's transfer is delayed.
하지만, 요즘 스마트폰의 경우에는 액정을 제외한 부분의 내구도가 매우 강한 편이며, 신고에 필요한 통신 기능이나 정확한 위치 파악을 위한 GPS 기능을 전부 내장하고 있다. 따라서 차량 사고를 자동으로 감지하여 신고를 할 수 있는 경우, 빠르고 정확한 신고가 가능하여 인명피해를 크게 줄일 수 있다.However, in the case of smart phones these days, the durability of the parts except for the liquid crystal is very strong, and all the communication functions necessary for reporting or GPS functions for accurate positioning are built in. Therefore, if the vehicle accident can be detected and reported automatically, fast and accurate reporting can be greatly reduced human injury.
본 발명은 큰 사고로 인해 운전자가 직접 신고가 불가능한 경우에 자동으로 신고하여 인명 피해를 최소화하기 위한 것이다.The present invention is to automatically report when the driver can not report directly due to a big accident to minimize the damage to life.
본 발명의 일 실시 예에 따른 사고 자동 구조 요청 방법은 차량에 대한 정보를 수집하는 단계; 상기 차량의 속도를 감지하고 차량의 속도의 변화량을 산출하는 단계; 상기 차량 외부의 소리와 상기 차량 내부의 소리를 감지하는 단계; 및 상기 산출된 차량의 속도의 변화량 및 상기 감지된 소리를 기반으로 상기 차량의 사고 발생 여부를 판단하는 단계;를 포함할 수 있다.According to one embodiment of the present invention, the automatic accident request method includes collecting information about a vehicle; Detecting a speed of the vehicle and calculating a change amount of the speed of the vehicle; Detecting a sound outside the vehicle and a sound inside the vehicle; And determining whether an accident of the vehicle occurs based on the calculated change amount of the speed of the vehicle and the sensed sound.
상기 산출하는 단계는, 상기 감지된 차량의 속도를 기 설정된 시간 간격으로 분할하여, 상기 기 설정된 단위 시간에 따라 상기 차량의 속도의 변화량을 산출할 수 있다.The calculating may include dividing the detected speed of the vehicle by a predetermined time interval and calculating a change amount of the speed of the vehicle according to the preset unit time.
판단하는 단계는, 상기 산출된 차량의 속도의 변화량을 기 설정된 임계 변화량과 비교하고, 비교 결과, 상기 산출된 차량의 속도의 변화량이 기 설정된 임계 변화량을 초과하면 차량의 상태를 충돌 상태로 판단하는 제 1 판단 단계; 및 상기 차량 외부에서 감지된 소리의 크기가 기 설정된 임계 소리의 크기보다 크거나, 상기 차량 내부에서 감지된 소리가 차량이 충돌하여 에어백이 팽창 상태로 변하는 소리에 대해 기계 학습된 모델을 이용하여 분석한 결과, 상기 차량 내부에서 감지된 소리가 에어백이 팽창 상태로 변화는 소리로 결정되면 상기 차량의 상태를 충돌 상태로 판단하는 제 2 판단 단계;를 포함할 수 있다.The determining may include comparing the calculated change in speed of the vehicle with a preset threshold change, and when the calculated change in speed of the vehicle exceeds a preset threshold change, determining the state of the vehicle as a collision state. A first judging step; And a machine-learned model for a sound in which the volume of the sound sensed from the outside of the vehicle is greater than a preset threshold sound or the sound sensed inside the vehicle is changed into an inflated state due to the collision of the vehicle. As a result, a second determination step of determining the state of the vehicle as a collision state when it is determined that the sound sensed inside the vehicle is a sound that changes the airbag into an inflated state.
상기 제 2 판단 단계는, 상기 제 1 판단 단계에서 차량의 상태를 충돌 상태로 판단하고 나서 상기 제 2 판단 단계를 수행할 수 있다.In the second determination step, after determining the state of the vehicle as a collision state in the first determination step, the second determination step may be performed.
상기 사고 자동 구조 요청 방법은, 상기 판단하는 단계에서 상기 차량에 사고가 발생했다고 판단하면, 상기 차량의 현재 위치를 포함한 정보를 기 저장된 구조 기관 서버에 구조 요청하는 구조 요청 단계;를 더 포함할 수 있다.The automatic accident request method may further include a rescue request step of requesting the rescue engine server to store previously stored information including the current location of the vehicle when it is determined that the accident has occurred in the vehicle. have.
본 발명의 일 실시 예에 따른 사고 자동 구조 요청 시스템은 차량에 대한 정보를 수집하는 통신 모듈; 차량의 속도를 감지하는 속도 감지 모듈; 차량의 소리를 감지하는 소리 감지 모듈; 및 상기 속도 감지 모듈 및 상기 소리 감지 모듈을 통해 감지된 정보를 기초로 차량의 사고 발생 여부를 분석하는 분석 모듈;을 포함할 수 있다.The automatic accident request system for accident according to an embodiment of the present invention comprises a communication module for collecting information about the vehicle; A speed sensing module detecting a speed of the vehicle; A sound detection module detecting a sound of the vehicle; And an analysis module for analyzing whether a vehicle accident occurs based on information detected by the speed detection module and the sound detection module.
본 발명의 일 실시 예에 의하면, 큰 사고로 인해 운전자가 직접 신고가 불가능한 경우에 자동으로 신고하여 인명 피해를 최소화할 수 있다.According to one embodiment of the present invention, when a driver cannot report directly due to a large accident, it is possible to minimize the damage to life by automatically reporting.
도 1은 본 발명의 일 실시 예에 따른 스마트폰을 이용한 사고 자동 구조 요청 시스템의 개략적인 도면이다.1 is a schematic diagram of an automatic accident rescue request system using a smartphone according to an embodiment of the present invention.
도 2는 본 발명의 일 실시 예에 따른 사고 자동 구조 요청 시스템의 예시적인 블록도이다.2 is an exemplary block diagram of an automatic accident rescue system according to an embodiment of the present invention.
도 3은 본 발명의 일 실시 예에 따른 사고 자동 구조 요청 방법의 예시적인 흐름도이다.3 is an exemplary flowchart of an automatic accident rescue request method according to an embodiment of the present invention.
이하, 본 발명의 실시 예를 첨부된 도면들을 참조하여 더욱 상세하게 설명한다. 본 발명의 실시 예는 여러 가지 형태로 변형할 수 있으며, 본 발명의 범위가 아래의 실시 예들로 한정되는 것으로 해석되어서는 안 된다. 본 실시 예는 당업계에서 평균적인 지식을 가진 자에게 본 발명을 더욱 완전하게 설명하기 위해 제공되는 것이다. 따라서 도면에서의 요소의 형상은 보다 명확한 설명을 강조하기 위해 과장되었다.Hereinafter, embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The embodiments of the present invention can be modified in various forms, and the scope of the present invention should not be construed as being limited to the following embodiments. This embodiment is provided to more completely explain the present invention to those skilled in the art. Therefore, the shape of the elements in the drawings are exaggerated to emphasize a more clear description.
한편, 본 명세서 전체에서 사용되는 '~부', '~기', '~블록', '~모듈' 등의 용어는 적어도 하나의 기능이나 동작을 처리하는 단위를 의미할 수 있다. 예를 들어 소프트웨어, FPGA 또는 ASIC과 같은 하드웨어 구성요소를 의미할 수 있다. 그렇지만 '~부', '~기', '~블록', '~모듈' 등이 소프트웨어 또는 하드웨어에 한정되는 의미는 아니다. '~부', '~기', '~블록', '~모듈'은 어드레싱할 수 있는 저장 매체에 있도록 구성될 수도 있고 하나 또는 그 이상의 프로세서들을 재생시키도록 구성될 수도 있다.On the other hand, the terms '~', '~', '~ block', '~ module', etc. used throughout the present specification may mean a unit for processing at least one function or operation. For example, it can mean a hardware component such as software, FPGA, or ASIC. However, '~', '~', '~ block', '~ module', etc. are not limited to software or hardware. '~', '~', '~', '~' May be configured to reside in an addressable storage medium or may be configured to play one or more processors.
따라서, 일 예로서 '~부', '~기', '~블록', '~모듈'은 소프트웨어 구성요소들, 객체지향 소프트웨어 구성요소들, 클래스 구성요소들 및 태스크 구성요소들과 같은 구성요소들과, 프로세스들, 함수들, 속성들, 프로시저들, 서브루틴들, 프로그램 코드의 세그먼트들, 드라이버들, 펌웨어, 마이크로 코드, 회로, 데이터, 데이터 베이스, 데이터 구조들, 테이블들, 어레이들 및 변수들을 포함한다. 구성요소들과 '~부', '~기', '~블록', '~모듈'들 안에서 제공되는 기능은 더 작은 수의 구성요소들 및 '~부', '~기', '~블록', '~모듈'들로 결합되거나 추가적인 구성요소들과 '~ 부', '~기', '~블록', '~모듈'들로 더 분리될 수 있다.Thus, as an example, '~', '~', '~ block', '~ module' are components such as software components, object-oriented software components, class components, and task components. And processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays And variables. The components and the functions provided within '~', '~', '~', '~', ',' ~ Module 'or may be further separated into additional components,' ~ part ',' ~ group ',' ~ block ',' ~ module '.
이하, 본 명세서에 첨부된 도면을 참조하여 본 발명의 실시 예를 상세하게 설명한다.Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
도 1은 본 발명의 일 실시 예에 따른 스마트폰을 이용한 사고 자동 구조 요청 시스템의 개략적인 도면이다.1 is a schematic diagram of an automatic accident rescue request system using a smartphone according to an embodiment of the present invention.
본 발명의 일 실시 예에 따른 사고 자동 구조 요청 시스템은 인적이 드문 길에서 큰 사고가 나서 운전자가 직접 신고가 불가능한 경우에 자동으로 신고되어 인명피해를 줄이기 위한 것이다.Accident automatic rescue request system according to an embodiment of the present invention is to reduce the human injury is automatically reported when the driver can not report directly after a large accident on the rare road.
도 1을 참조하면, 상기 사고 자동 구조 요청 시스템은 사용자 단말(100)이 유무선 네트워크를 통해 차량(200)과 연결되어 후술하는 사고 자동 구조 요청 과정을 통해 사고 발생 정보 및 구조 요청 신호를 구조 기관이 보유한 서버(300)로 전달할 수 있다.Referring to FIG. 1, the automatic rescue request system for accidents is configured to provide accident occurrence information and rescue request signals through an automatic rescue request process which will be described later, in which the user terminal 100 is connected to the vehicle 200 through a wired or wireless network. It can be delivered to the server 300 held.
상기 사용자 단말(100)은 스마트폰, 태블릿 PC, 스마트 글래스, 스마트 와치와 같은 모바일 디바이스일 수 있다. 그러나, 상기의 모바일 디바이스로 한정하는 것은 아니고, 사용자가 차량에 휴대하여 차량의 속도 및 소리를 감지하여 이를 처리할 수 있는 프로세서를 구비한 장치라면 어떠한 장치라도 가능하다.The user terminal 100 may be a mobile device such as a smart phone, a tablet PC, a smart glass, a smart watch. However, the present invention is not limited to the above-described mobile device, and any device may be used as long as the device is equipped with a processor that can be carried by the user in the vehicle to detect and process the speed and sound of the vehicle.
여기서, 사용자 단말(100)은 블루투스나 Wi-Fi와 같은 근거리 무선 데이터 통신을 이용하여 통신할 수 있으나, 사용자 단말(30)과 사고 자동 구조 요청 시스템(100) 간의 데이터 통신 방식은 근거리 무선 데이터 통신에만 한정되지 않고 장거리 통신 기술 및 유선 인터넷 기술도 될 수 있다.Here, the user terminal 100 may communicate using short-range wireless data communication such as Bluetooth or Wi-Fi, but the data communication method between the user terminal 30 and the automatic accident request system 100 is short-range wireless data communication. It is not only limited to long distance communication technology and wired Internet technology can also be.
상기 구조 기관 서버(300)는 차량 사고 시 수습에 필요한 기관들이 보유한 서버를 말한다. 예를 들면, 소방서, 경찰서, 의료기관 및 보험회사와 같은 차량 사고 시 필요한 기관들을 말한다. 그러나, 사용자가 미리 등록을 해놓은 보호자의 연락처도 가능하다.The rescue engine server 300 refers to a server held by the institutions necessary for the probation of a vehicle accident. For example, agencies that are needed for vehicle accidents such as fire departments, police departments, medical institutions and insurance companies. However, it is also possible to contact the guardian who the user has registered in advance.
도 2는 본 발명의 일 실시 예에 따른 사고 자동 구조 요청 시스템의 예시적인 블록도이다.2 is an exemplary block diagram of an automatic accident rescue system according to an embodiment of the present invention.
도 2를 참조하면, 상기 사고 자동 구조 요청 시스템(100)은 통신 모듈(110), 감지모듈(120, 130), 분석 모듈(140) 및 데이터베이스부(150)를 포함한다.Referring to FIG. 2, the automatic accident request system 100 includes a communication module 110, a detection module 120 and 130, an analysis module 140, and a database unit 150.
상기 통신 모듈(110)은 차량에 대한 정보를 수집한다. 여기서, 차량에 대한 정보는 차량의 속도 정보, 차량의 내부의 소리 및 차량의 외부의 소리와 같은 정보를 말한다. The communication module 110 collects information about the vehicle. Here, the information about the vehicle refers to information such as speed information of the vehicle, sound inside the vehicle, and sound outside the vehicle.
상기 속도 감지 모듈(120)은 사용자 단말(100)에 내장된 가속도 센서, 자이로 센서 및 GPS 센서 등과 같은 속도를 감지하는 센서를 이용해서 차량의 속도를 감지한다. 그리고, 통신모듈(110)을 통해 차량의 온보드진단장치(OBD)와 같은 컴퓨터 장치를 통해 기록된 데이터를 통해 차량의 속도 정보를 받을 수 있다.The speed detection module 120 detects the speed of the vehicle by using a speed sensing sensor such as an acceleration sensor, a gyro sensor, and a GPS sensor built in the user terminal 100. And, through the communication module 110 can receive the speed information of the vehicle through the data recorded through a computer device such as the on-board diagnostic device (OBD) of the vehicle.
상기 소리 감지 모듈(130)은 차량의 내부 및 차량의 외부에서 발생하는 소리를 감지한다. 예를 들면, 차량의 내부의 소음은 에어백 소리, 사용자의 목소리, 내부 충격음 등이 될 수 있고, 차량의 외부의 소음은 차량의 충돌음이 될 수 있다.The sound detection module 130 detects sounds generated inside and outside the vehicle. For example, the noise inside the vehicle may be an airbag sound, a voice of a user, an internal impact sound, and the like, and the noise outside the vehicle may be a collision sound of the vehicle.
상기 분석 모듈(140)은 속도 감지 모듈(120) 및 소리 감지 모듈(130)을 통해 감지된 정보를 기초로 차량의 사고 발생 여부를 분석한다. The analysis module 140 analyzes whether a vehicle accident occurs based on the information detected by the speed sensing module 120 and the sound sensing module 130.
본 발명의 일 실시 예에 따르면, 분석 모듈(140)은 속도 감지 모듈(120)에서 산출한 차량의 속도 변화량을 기 설정된 임계 변화량과 비교하고, 비교 결과, 산출된 차량의 속도의 변화량이 기 설정된 임계 변화량을 초과하면 차량의 상태를 충돌 상태로 판단한다.According to an embodiment of the present disclosure, the analysis module 140 compares the speed change amount of the vehicle calculated by the speed detection module 120 with a preset threshold change amount, and as a result of the comparison, the calculated change amount of the speed of the vehicle is preset. When the threshold change amount is exceeded, the state of the vehicle is determined as the collision state.
나아가, 분석 모듈(140)은 차량 외부에서 감지된 소리가 기 설정된 임계 소리의 크기보다 크거나, 차량 내부에서 감지된 소리가 차량이 충돌하여 에어백이 팽창 상태로 변하는 소리에 대해 기계 학습된 모델을 이용하여 분석한 결과, 차량 내부에서 감지된 소리가 에어백이 팽창 상태로 변화는 소리로 결정되면 차량의 상태를 충돌 상태로 판단한다.Furthermore, the analysis module 140 may generate a machine-learned model for a sound in which the sound sensed from the outside of the vehicle is greater than a preset threshold sound or the sound detected inside the vehicle collides with the vehicle and the airbag is changed into an inflated state. As a result of the analysis, when the sound sensed inside the vehicle is determined to be the sound that the airbag changes to the inflated state, the state of the vehicle is determined as the collision state.
도 3은 본 발명의 일 실시 예에 따른 사고 자동 구조 요청 방법의 예시적인 흐름도이다.3 is an exemplary flowchart of an automatic accident rescue request method according to an embodiment of the present invention.
도 3을 참조하면, 사고 자동 구조 요청 방법은 차량 정보를 수집하는 단계(S10), 차량의 속도의 변화량을 산출하는 단계(S20), 차량의 내부 및 외부의 소리를 감지하는 단계(S30), 차량 사고 발생 여부 판단하는 단계(S40) 및 구조 요청 단계(S50)의 흐름으로 구성된다.Referring to FIG. 3, the automatic accident request method includes collecting vehicle information (S10), calculating a change amount of the speed of the vehicle (S20), detecting a sound inside and outside the vehicle (S30), It is composed of the flow of the step (S40) and the rescue request step (S50) for determining whether a vehicle accident occurs.
더 상세히 말하면, 차량에 대한 정보를 수집하는 단계(S10)는 사용자 단말(100)이 차량(200)과 최초로 연결되어 차량으로부터 차량에 관한 정보를 받는다. 예를 들면, 차량에 관한 정보는 차량의 종류, 연식, 주행거리, 차량 소유자 및 차량 운전자와 같은 차량에 관한 정보를 말한다.In more detail, in the step S10 of collecting information about the vehicle, the user terminal 100 is first connected with the vehicle 200 to receive information about the vehicle from the vehicle. For example, the information about the vehicle refers to information about the vehicle such as the type of vehicle, the year, the mileage, the vehicle owner, and the vehicle driver.
다음으로, 차량(200)의 속도 정보를 받거나, 사용자 단말(100)의 센서를 이용해 차량의 속도 정보를 받아 차량(200)의 속도의 변화량을 산출하는 단계(S20)는 차량(200)의 속도를 기 설정된 시간 간격으로 분할하여, 기 설정된 단위 시간에 따라 차량(200)의 속도의 변화량을 산출한다.Next, the step of receiving the speed information of the vehicle 200 or receiving the speed information of the vehicle using the sensor of the user terminal 100 to calculate the change amount of the speed of the vehicle 200 (S20) is the speed of the vehicle 200 The amount of change in the speed of the vehicle 200 is calculated according to the preset unit time by dividing the interval into predetermined time intervals.
그 뒤, 차량(200) 외부의 소리와 차량(200) 내부의 소리를 감지하고(S30), 이어서, 산출된 차량(200)의 속도의 변화량 및 감지된 소리를 기반으로 차량의 사고 발생 여부를 판단한다(S40).Thereafter, the sound outside the vehicle 200 and the sound inside the vehicle 200 are sensed (S30), and then, based on the calculated amount of change in the speed of the vehicle 200 and the detected sound, whether the vehicle has an accident or not is detected. Determine (S40).
본 발명의 일 실시 예에 따라, 판단하는 단계(S40)는 제 1 판단 단계 및 제 2 판단 단계로 구분된다.According to an embodiment of the present disclosure, the determining step S40 is divided into a first determination step and a second determination step.
상기 제 1 판단 단계는 상기 산출된 차량의 속도의 변화량과 기 설정된 임계 변화량을 비교하고, 비교 결과, 상기 산출된 차량의 속도의 변화량이 기 설정된 임계 변화량을 초과하면 차량의 상태를 충돌 상태로 판단한다.The first determining step compares the calculated change amount of the speed of the vehicle with a preset threshold change amount, and, as a result of the comparison, determines the state of the vehicle as a collision state when the calculated change amount of the speed exceeds the preset threshold change amount. do.
상기 제 2 판단 단계는 상기 차량 외부에서 감지된 소리의 크기가 기 설정된 임계 소리의 크기보다 크거나, 상기 차량 내부에서 감지된 소리를 에어백 팽창 상태에서 발생되는 소리에 대해 기계 학습된 모델을 이용하여 에어백 팽창 상태로 결정되면 차량의 상태를 충돌 상태로 판단한다.The second determination step may be performed by using a machine-learned model for the sound generated in the airbag inflated state, or the volume of the sound detected from the outside of the vehicle is greater than a preset threshold sound level. When it is determined that the airbag inflated state, the state of the vehicle is determined as the collision state.
상기 제 2 판단 단계는 상기 제 1 판단 단계에서 차량의 상태를 충돌 상태로 판단하고 나서 수행된다.The second determination step is performed after determining the state of the vehicle as the collision state in the first determination step.
마지막으로, 구조 요청 단계(S50)는 상기 판단하는 단계에서 차량에 사고가 발생되었다고 최종 판단하면, 차량의 현재 위치를 포함한 정보를 기 저장된 구조 기관 서버(300)로 구조 요청을 한다.Finally, the rescue request step (S50), if it is finally determined that the accident occurred in the vehicle in the determining step, the rescue request to the rescue engine server 300 previously stored information including the current location of the vehicle.
본 발명의 다른 실시 예에 따르면, 구조 요청 단계(S50)는 차량의 내부의 탑승자의 수의 정보를 구조 기관 서버(300)로 보낼 수 있다. 예를 들면, 사용자 단말(100)에 설치된 카메라를 이용하여 차량 내부를 촬영하고, 분석 모듈(140)에서 카메라가 촬영한 영상의 분석을 통하여 사람의 탑승 여부를 감지해 탑승자의 인원수를 카운트할 수 있다. 구체적으로, 카메라가 촬영한 정보를 기초로 사람에 대한 특징점 추출 등의 기법을 활용해 영상에 포함된 사람 수를 계산함으로써 탑승자의 인원수를 카운트할 수 있다.According to another embodiment of the present invention, the rescue request step S50 may send information of the number of occupants in the vehicle to the rescue engine server 300. For example, the interior of the vehicle may be photographed using a camera installed in the user terminal 100, and the number of occupants may be counted by detecting whether or not a person is boarded through analysis of an image captured by the camera in the analysis module 140. have. Specifically, the number of occupants may be counted by calculating the number of people included in the image by using a technique such as feature point extraction of a person based on information captured by the camera.
이상의 상세한 설명은 본 발명을 예시하는 것이다. 또한 전술한 내용은 본 발명의 바람직한 실시 형태를 나타내어 설명하는 것이며, 본 발명은 다양한 다른 조합, 변경 및 환경에서 사용할 수 있다. 즉 본 명세서에 개시된 발명의 개념의 범위, 저술한 개시 내용과 균등한 범위 및/또는 당업계의 기술 또는 지식의 범위내에서 변경 또는 수정이 가능하다. 저술한 실시예는 본 발명의 기술적 사상을 구현하기 위한 최선의 상태를 설명하는 것이며, 본 발명의 구체적인 적용 분야 및 용도에서 요구되는 다양한 변경도 가능하다. 따라서 이상의 발명의 상세한 설명은 개시된 실시 상태로 본 발명을 제한하려는 의도가 아니다. 또한 첨부된 청구범위는 다른 실시 상태도 포함하는 것으로 해석되어야 한다.The foregoing detailed description illustrates the present invention. In addition, the above-mentioned contents show preferred embodiments of the present invention, and the present invention can be used in various other combinations, modifications, and environments. That is, changes or modifications may be made within the scope of the concept of the invention disclosed in the present specification, the scope equivalent to the disclosures described above, and / or the skill or knowledge in the art. The described embodiments illustrate the best state for implementing the technical idea of the present invention, and various modifications required in the specific application field and use of the present invention are possible. Thus, the detailed description of the invention is not intended to limit the invention to the disclosed embodiments. Also, the appended claims should be construed to include other embodiments.

Claims (6)

  1. 차량에 대한 정보를 수집하는 단계;Collecting information about the vehicle;
    상기 차량의 속도를 감지하고 차량의 속도의 변화량을 산출하는 단계;Detecting a speed of the vehicle and calculating a change amount of the speed of the vehicle;
    상기 차량 외부의 소리와 상기 차량 내부의 소리를 감지하는 단계; 및Detecting a sound outside the vehicle and a sound inside the vehicle; And
    상기 산출된 차량의 속도의 변화량 및 상기 감지된 소리를 기반으로 상기 차량의 사고발생 여부를 판단하는 단계;를 포함하는 사고 자동 구조 요청 방법.And determining whether an accident occurs in the vehicle based on the calculated change amount of the speed of the vehicle and the sensed sound.
  2. 제 1 항에 있어서,The method of claim 1,
    상기 산출하는 단계는,The calculating step,
    상기 감지된 차량의 속도를 기 설정된 시간 간격으로 분할하여,By dividing the detected speed of the vehicle by a predetermined time interval,
    상기 기 설정된 단위 시간에 따라 상기 차량의 속도의 변화량을 산출하는 사고 자동 구조 요청 방법.The automatic accident request method for calculating a change amount of the speed of the vehicle according to the preset unit time.
  3. 제 2 항에 있어서,The method of claim 2,
    판단하는 단계는,The judging step is
    상기 산출된 차량의 속도의 변화량을 기 설정된 임계 변화량과 비교하고, 비교 결과, 상기 산출된 차량의 속도의 변화량이 기 설정된 임계 변화량을 초과하면 차량의 상태를 충돌 상태로 판단하는 제 1 판단 단계; 및A first determination step of comparing the calculated change in speed of the vehicle with a preset threshold change amount, and determining the state of the vehicle as a collision state when the calculated change in speed of the vehicle exceeds a preset threshold change amount; And
    상기 차량 외부에서 감지된 소리의 크기가 기 설정된 임계 소리의 크기보다 크거나, 상기 차량 내부에서 감지된 소리가 차량이 충돌하여 에어백이 팽창 상태로 변하는 소리에 대해 기계 학습된 모델을 이용하여 분석한 결과, 상기 차량 내부에서 감지된 소리가 에어백이 팽창 상태로 변화는 소리로 결정되면 상기 차량의 상태를 충돌 상태로 판단하는 제 2 판단 단계;를 포함하는 사고 자동 구조 요청 방법.The sound sensed from the outside of the vehicle is greater than the preset threshold sound, or the sound detected from the inside of the vehicle is analyzed using a machine-learned model for a sound in which the airbag is inflated due to collision of the vehicle. As a result, a second determination step of determining the state of the vehicle as a collision state when it is determined that the sound sensed inside the vehicle is a sound that changes the airbag into an inflated state.
  4. 제 3 항에 있어서,The method of claim 3, wherein
    상기 제 2 판단 단계는,The second determination step,
    상기 제 1 판단 단계에서 차량의 상태를 충돌 상태로 판단하고 나서 상기 제 2 판단 단계를 수행하는 사고 자동 구조 요청 방법.And determining the state of the vehicle as the collision state in the first determination step, and then performing the second determination step.
  5. 제 1 항에 있어서,The method of claim 1,
    상기 사고 자동 구조 요청 방법은,The accident automatic rescue request method,
    상기 판단하는 단계에서 상기 차량에 사고가 발생했다고 판단하면,In the determining step, if it is determined that an accident has occurred in the vehicle,
    상기 차량의 현재 위치를 포함한 구조 요청 정보를 기 저장된 구조 기관 서버로 보내는 구조 요청 단계;를 더 포함하는 사고 자동 구조 요청 방법.And a rescue request step of sending rescue request information including the current location of the vehicle to a previously stored rescue engine server.
  6. 차량에 대한 정보를 수집하는 통신 모듈;A communication module for collecting information about the vehicle;
    차량의 속도를 감지하는 속도 감지 모듈;A speed sensing module detecting a speed of the vehicle;
    차량의 소리를 감지하는 소리 감지 모듈; 및A sound detection module detecting a sound of the vehicle; And
    상기 속도 감지 모듈 및 상기 소리 감지 모듈을 통해 감지된 정보를 기초로 차량의 사고 발생 여부를 분석하는 분석 모듈;을 포함하는 사고 자동 구조 요청 시스템.And an analysis module for analyzing whether an accident occurs in the vehicle based on the information detected by the speed detecting module and the sound detecting module.
PCT/KR2018/002247 2018-02-23 2018-02-23 Automatic accident rescue request method and system using smartphone WO2019164035A1 (en)

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