KR20210067790A - System for Finding Dangerous Road Obstacle and Rewarding - Google Patents

System for Finding Dangerous Road Obstacle and Rewarding Download PDF

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KR20210067790A
KR20210067790A KR1020190157765A KR20190157765A KR20210067790A KR 20210067790 A KR20210067790 A KR 20210067790A KR 1020190157765 A KR1020190157765 A KR 1020190157765A KR 20190157765 A KR20190157765 A KR 20190157765A KR 20210067790 A KR20210067790 A KR 20210067790A
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image
work
unit
road
proof
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KR1020190157765A
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나상민
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주식회사 디투리소스
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously

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  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to a road surface dangerous object detecting and rewarding system, comprising: an image acquiring unit (110) providing a vehicle black box function to a driver and acquiring an image of a road surface by using a camera, a GPS, a gyro sensor, etc. embedded in a smartphone; an image pre-processing unit detecting dangerous elements from the image in real time and pre-processing the dangerous elements into a preferred transmission target group and a general transmission target group; an image transmission unit (130) transmitting the image, wherein the image transmission unit (130) includes an intelligent network selection unit (131) recognizing a crossroad and a temporary waiting state to intelligently select a public network, a private Wi-Fi network (in general, free of charge) and a mobile network of a user; an artificial intelligence data analysis unit (410) profiling and informatizing the dangerous elements on a road through analysis in the processed image by means of artificial intelligence; and a database processing unit (420) systematically storing the analyzed information in a database; an integrated control center (600) formed of a system representing all processed information such that various kinds of information can be easily identified in accordance with the right of a chief officer, a city officer, a management officer, a repair officer, etc.; and a proof-of-work selection unit (500) detecting the sharpest and most definite dangerous element on the road among proofs of work with respect to similar detection image providing works from participants at points of 50 m or so of radius based on position information, making a selection with respect to contributed proofs of work, selecting a corresponding proof of work, and providing a reward with respect to the proof of work to guide continuous participation. The present invention performs real-time detection and systematic management for dangerous elements on the road to prevent accidents.

Description

도로 노면 위험물 탐지 및 리워드 시스템{System for Finding Dangerous Road Obstacle and Rewarding}System for Finding Dangerous Road Obstacle and Rewarding

본 발명은 도로 표면의 위험물을 검출 및 관리하는 시스템의 참여를 유도하기 위한 리워드 시스템에 관한 것으로, 더욱 상세하게는 스마트폰을 차량에 거치하고 모바일 앱을 실행하여, 차량의 운전자는 차량용 블랙박스 기능으로 사용하고, 시스템 운용사는 도로의 위험물을 검출하고, 그러한 정보를 시각화하여, 지도에 매핑하고, 실시간 정보 공유을 함으로서 도로의 안전을 확보하는데, 보다 많은 참여를 유도하고, 보상을 제공하는데 있어, 인공지능에 의해 작업 증명 및 선택된 것에 대하여, 리워드(보상)를 제공하는 시스템에 대한 것이다.The present invention relates to a reward system for inducing participation in a system for detecting and managing dangerous substances on a road surface, and more particularly, by mounting a smartphone on a vehicle and running a mobile app, the driver of the vehicle functions as a vehicle black box , the system operator detects dangerous objects on the road, visualizes such information, maps it on a map, and secures road safety by sharing real-time information, inducing more participation, and providing compensation. It is about a system that provides proof of work and rewards (rewards) for being selected by intelligence.

도로 표면상의 포트홀, 도색 불량, 중앙 안전봉 불량 등은 운행 중인 자동차의 안전운행에 영향을 주고, 이로 인한 인적, 재산적 피해를 야기한다. 또한, 그 관리에 있어서도 체계적, 분석적 관리가 아닌 육안 검사에 의한 관리가 이뤄지고 있는 것이 현실이다.Potholes on the surface of the road, poor painting, and defective central safety rods affect the safe operation of a vehicle in operation, causing human and property damage. In addition, the reality is that management is conducted by visual inspection rather than systematic and analytical management.

경제가 발전함에 따라, 도로망은 계속 확충되고 있다. 이로 인해, 사람에 의한 육안 검사 식 및 파일럿 차량(탐지 차량)을 통한 탐지에는 물리적 한계가 존재한다.As the economy develops, the road network continues to expand. For this reason, there is a physical limit to the detection by the human eye and the pilot vehicle (detection vehicle).

특히, 지방도로 갈수록 그 현상이 심각하며, 신고하지 않으면 장기간 위험한 상황이 방치되어 있고, 그로 인해 추후 보수 시, 추가적 많은 비용 야기와 운전자의 안전에 심각한 위협을 발생하고 있다.In particular, the phenomenon becomes more serious as the road progresses, and if not reported, a dangerous situation is left unattended for a long period of time, resulting in additional costly additional costs and a serious threat to driver safety.

본 기술은 경제성장국에게도 도움이 되겠지만, 특히, 동남아시아, 인도, 인도네시아, 아프리카 등 신흥개발도상국 및 저개발국가 등에 저렴한 비용으로 도로를 체계적으로 관리할 수 있는 방안이 될 수 있다.This technology will be helpful to economically growing countries, but in particular, it can be a way to systematically manage roads at low cost in emerging and underdeveloped countries such as Southeast Asia, India, Indonesia, and Africa.

등록특허공보 제10-1715211호 (공고일:2017.03.06.)Registered Patent Publication No. 10-1715211 (Announcement Date: 2017.03.06.) 등록특허공보 제10-1763915호 (공고일:2017.08.14.)Registered Patent Publication No. 10-1763915 (Announcement Date: 2017.08.14.) 공개특허공보 제10-2019-0053151호 (공개일: 2019.05.71.)Laid-open Patent Publication No. 10-2019-0053151 (published date: 2019.05.71.)

본 발명은 도로 표면의 위험물을 검출 및 관리하는 시스템의 참여를 유도하기 위한 리워드 시스템에 관한 것으로, 더욱 상세하게는 스마트폰을 차량에 거치하고 모바일 앱을 실행하여, 차량의 운전자는 차량용 블랙박스 기능으로 사용하고, 시스템 운용사는 도로의 위험물을 검출하고, 그러한 정보를 시각화하여, 지도에 매핑하고, 실시간 정보 공유을 함으로서 도로의 안전을 확보하는데, 보다 많은 참여를 유도하고, 보상을 제공하는데 있어, 인공지능에 의해 작업 증명 및 선택된 것에 대하여, 리워드(보상)를 제공하는 시스템에 대한 것이다.The present invention relates to a reward system for inducing participation in a system for detecting and managing dangerous substances on a road surface, and more particularly, by mounting a smartphone on a vehicle and running a mobile app, the driver of the vehicle functions as a vehicle black box , the system operator detects dangerous objects on the road, visualizes such information, maps it on a map, and secures road safety by sharing real-time information, inducing more participation, and providing compensation. It is about a system that provides proof of work and rewards (rewards) for being selected by intelligence.

상기한 목적을 달성하기 위한 본 발명은, 일반적인 스마트폰에 내장된 카메라, GPS, 자이로센서 등을 활용하여, 운전자에게 차량용 블랙박스 기능을 제공하고, 도로 노면 영상을 취득하는 영상취득부; 상기 영상에서 실시간 위험 요인을 탐지하여, 우선전송대상군과 일반전송대상군으로 전처리하는 영상전처리부; 영상을 전송하는 영상송신부; 영상송신부는 교차로 및 잠시 대기 중 상태를 인지하여, 퍼블릭 네트워크(공개 무료망)와 사설와이파이망(일반적으로 무료)와 사용자의 모바일 네트워크(일반적으로 유료망)를 지능적으로 선택하는 지능형 네트워크 선택부; 영상전처리부에서 처리되어 우선전송대상군으로 분류된 대상을 우선전송하는 우선전송부; 영상전처리부에서 처리되어 일반전송대상군으로 분류된 대상을 집 또는 사무실로 지능적으로 인지된 상황에서 대량의 일반전송대상군을 관리하며 전송하는 일반전송부로 구성된다.The present invention for achieving the above object provides a vehicle black box function to the driver by utilizing a camera, GPS, gyro sensor, etc. built in a general smart phone, and an image acquisition unit for acquiring a road image; an image pre-processing unit that detects real-time risk factors in the image and pre-processes them into a priority transmission target group and a general transmission target group; an image transmitter for transmitting an image; The video transmitter recognizes the intersection and the waiting state, and intelligent network selection unit that intelligently selects a public network (public free network), a private Wi-Fi network (generally free), and the user's mobile network (generally a paid network); a priority transmission unit which is processed by the image pre-processing unit and preferentially transmits a target classified as a priority transmission target group; It consists of a general transmission unit that manages and transmits a large number of general transmission target groups in a situation where the object classified as a general transmission target group processed by the image preprocessor is intelligently recognized as a home or office.

영상정보처리부는 처리된 영상에서 인공지능에 의한 분석을 통해, 도로의 위험요인를 프로파일링하고, 정보화한다. 데이터베이스 처리부는 분석된 정보를 체계적 데이터베이스화한다.The image information processing unit profiles and informatizes road risk factors through analysis by artificial intelligence in the processed image. The database processing unit systematically converts the analyzed information into a database.

통합관제센터는 이상의 모든 처리된 정보를 최고책임자, 도시 책임자, 관리책임자, 보수 책임자 등 권한에 따른 다양한 정보를 쉽게 식별할 수 있도록 표현하는 시스템으로 구성되며, 작업증명 선택부는 위치정보 기준 반경 50m 내외의 지점에서, 참여자들의 비슷한 탐지 영상 제공 작업에 대한 작업 증명 중, 가장 선명도가 좋고, 확실한 도로 위험요인을 탐지하고, 기여한 작업 증명에 대하여 선택하고, 해당 작업 증명을 선택하여, 작업증명에 대한 리워드를 제공하여, 참여를 꾸준히 유도하는 시스템으로 구성된다.The integrated control center consists of a system that expresses all the processed information above so that various information according to the authority such as the chief officer, city manager, management officer, and maintenance officer can be easily identified, and the work proof selection part is within a radius of 50m based on location information. At the point of , among the proof-of-work for the tasks of providing similar detection images of the participants, the clearest and most obvious road hazard is detected, and the contributed proof-of-work is selected, and the corresponding proof-of-work is selected, and the proof of work is rewarded. It is composed of a system that continuously induces participation by providing

본 발명은 일반적인 스마트폰을 활용하여, 일반인에게는 차량용 블랙박스를 제공하고, 이용자는 앱을 통해, 블랙박스처럼 사용만 하면, 인공지능에의해 자동으로 확인된 작업 증명에 대하여, 리워드를 제공하여, 참여를 유도하고, 그러한 참여를 토대로 데이터의 품질은 더욱 좋아지고, 정확한 정보 제공이 가능해짐으로서, 사회에는 도로의 위험요인을 실시간 탐지 및 체계적 관리를 제공하여, 신속, 정확한 보수 및 체계적 관리로 사고 예방이 가능하다.The present invention utilizes a general smartphone to provide a vehicle black box to the general public, and if the user just uses it as a black box through the app, the reward is provided for the proof of work automatically confirmed by artificial intelligence, By inducing participation, the quality of data becomes better based on such participation, and the provision of accurate information becomes possible, providing society with real-time detection and systematic management of road risk factors, resulting in rapid, accurate repair and systematic management. Prevention is possible.

도 1은 본 발명의 전체적인 구성을 도시한 블록도이다.
도 2는 본 발명에 의하여 발견된 위험물에 대한 영상정보를 도시한 것이다. 1 is a block diagram showing the overall configuration of the present invention.
2 is a view showing image information about a dangerous object discovered by the present invention.

도 1을 참조하여 본 발명의 구성을 살펴보면, 일반적인 스마트폰에 내장된 카메라, GPS, 자이로센서 등을 활용하여, 운전자에게 차량용 블랙박스 기능을 제공하고, 도로 노면 영상을 취득하는 영상취득부(110); 상기 영상에서 실시간 위험 요인을 탐지하여, 우선전송대상군과 일반전송대상군으로 전처리하는 영상전처리부(120); 영상을 전송하는 영상송신부(130); 영상송신부는 교차로 및 잠시 대기 중 상태를 인지하여, 퍼블릭 네트워크(공개 무료망)와 사설와이파이망(일반적으로 무료)와 사용자의 모바일 네트워크(일반적으로 유료망)를 지능적으로 선택하는 지능형 네트워크 선택부(131); 영상전처리부에서 처리되어 우선전송대상군으로 분류된 대상을 우선전송하는 우선전송부(132); 영상전처리부에서 처리되어 일반전송대상군으로 분류된 대상을 집 또는 사무실로 지능적으로 인지된 상황에서 대량의 일반전송대상군을 관리하며 전송하는 일반전송부(133)로 구성된다.Referring to the configuration of the present invention with reference to FIG. 1, an image acquisition unit 110 that provides a vehicle black box function to the driver and acquires a road image by utilizing a camera, GPS, gyro sensor, etc. built in a general smart phone. ); an image pre-processing unit 120 that detects real-time risk factors in the image and pre-processes them into a priority transmission target group and a general transmission target group; an image transmitting unit 130 for transmitting an image; The video transmitter recognizes the intersection and the waiting state, and intelligently selects the public network (public free network), private Wi-Fi network (generally free), and the user's mobile network (generally paid network). 131); a priority transmission unit 132 for preferentially transmitting an object that is processed by the image preprocessor and classified as a priority transmission target group; It consists of a general transmission unit 133 that manages and transmits a large amount of general transmission target group in a situation where the object classified as the general transmission target group processed by the image pre-processing unit is intelligently recognized as a home or office.

영상정보처리부(400)의 인공지능 데이터 분석부(410)는 처리된 영상에서 인공지능에 의한 분석을 하고, 도로의 위험요인를 프로파일링하고, 정보화한다.The artificial intelligence data analysis unit 410 of the image information processing unit 400 analyzes the processed image by artificial intelligence, profiles risk factors of the road, and informatizes it.

영상정보처리부(400)의 데이터베이스 처리부(420)는 분석된 정보를 체계적 데이터베이스화한다.The database processing unit 420 of the image information processing unit 400 systematically converts the analyzed information into a database.

통합관제센터(600)는 이상의 모든 처리된 정보를 최고책임자, 도시 책임자, 관리책임자, 보수 책임자 등 권한에 따른 다양한 정보를 쉽게 식별할 수 있도록 표현하는 시스템으로 구성되며,이상의 시스템을 통하여, 도로망의 위험 요소를 탐지하는 시스템이 완성된다.The integrated control center 600 is composed of a system that expresses all the processed information above so that various information according to authority such as the chief officer, city manager, management officer, maintenance officer, etc. can be easily identified, and through the above system, A system for detecting risk factors is completed.

작업증명 선택부(500)의 인공지능작업증명 선택부(510)는 위치정보 기준 반경 50m 내외의 지점에서, 참여자들의 비슷한 탐지 영상 제공 작업에 대한 작업 증명 중, 가장 선명도가 좋고, 확실한 도로 위험요인을 탐지하고, 기여한 작업 증명에 대하여 선택하고, 해당 작업 증명을 선택하여, 작업증명에 대한 리워드를 제공하고, 작업증명 선택부(500)의 리워드 DB 처리부는 이를 데이터베이스화하여 참여를 꾸준히 유도하는 시스템으로 구성된다.The artificial intelligence proof-of-work selection unit 510 of the proof-of-work selection unit 500 has the best clarity and certainty road risk factor among the proofs of work for the similar detection image provision work of participants at a point within a radius of 50 m based on location information. A system that detects and selects the contributed proof of work, selects the proof of work, provides a reward for the proof of work, and the reward DB processing unit of the proof of work selection unit 500 converts it into a database to continuously induce participation is composed of

Claims (2)

스마트폰에 내장된 카메라, GPS, 자이로센서 등을 활용하여, 운전자에게 차량용 블랙박스 기능을 제공하고, 도로 노면 영상을 취득하는 영상취득부(110);
상기 영상에서 실시간 위험 요인을 탐지하여, 우선전송대상군과 일반전송대상군으로 전처리하는 영상전처리부; 영상을 전송하는 영상송신부(130);
처리된 영상에서 인공지능에 의한 분석을 통해, 도로의 위험요인를 프로파일링하고, 정보화하는 인공지능 데이터 분석부(410);
분석된 정보를 체계적 데이터베이스화하는 데이터베이스 처리부(420)
모든 처리된 정보를 최고책임자, 도시 책임자, 관리책임자, 보수 책임자 등 권한에 따른 다양한 정보를 쉽게 식별할 수 있도록 표현하는 시스템으로 구성되는 통합관제 센터(600); 및
위치정보 기준 반경 50m 내외의 지점에서, 참여자들의 비슷한 탐지 영상 제공 작업에 대한 작업 증명 중, 가장 선명도가 좋고, 확실한 도로 위험요인을 탐지하고, 기여한 작업 증명에 대하여 선택하고, 해당 작업 증명을 선택하여, 작업증명에 대한 리워드를 제공하고, 관련한 정보를 데이터베이스화하여 참여를 꾸준히 유도하는 작업증명선택부(500)를 포함하는 것을 특징으로 하는 도로 노면 위험물 탐지 및 리워드 시스템.
an image acquisition unit 110 that provides a vehicle black box function to the driver and acquires a road surface image by utilizing a camera, GPS, gyro sensor, etc. built in the smartphone;
an image pre-processing unit that detects real-time risk factors in the image and pre-processes them into a priority transmission target group and a general transmission target group; an image transmitting unit 130 for transmitting an image;
An artificial intelligence data analysis unit 410 for profiling and informatizing road risk factors through analysis by artificial intelligence in the processed image;
Database processing unit 420 for systematically converting the analyzed information into a database
The integrated control center 600 consisting of a system that expresses all processed information so that various information according to authority such as the chief officer, city manager, management officer, maintenance officer, etc. can be easily identified; and
At a point within a 50m radius of the location information, among the proofs of work for the work of providing similar detection images of the participants, it detects the most clear and sure road hazard, selects the contributed proof of work, and selects the proof of work. , A system for detecting and rewarding dangerous substances on the road, characterized in that it includes a proof-of-work selection unit 500 that provides a reward for proof-of-work, and converts related information into a database to continuously induce participation.
 청구항 1에 있어서, 상기 영상송신부(130)는 교차로 및 잠시 대기 중 상태를 인지하여, 퍼블릭 네트워크(공개 무료망)와 사설와이파이망(일반적으로 무료)와 사용자의 모바일 네트워크(일반적으로 유료망)를 지능적으로 선택하는 지능형 네트워크 선택부(131); 영상전처리부에서 처리되어 우선전송대상군으로 분류된 대상을 우선전송하는 우선전송부; 영상전처리부에서 처리되어 일반전송대상군으로 분류된 대상을 집 또는 사무실로 지능적으로 인지된 상황에서 대량의 일반전송대상군을 관리하며 전송하는 일반전송부(133)를 포함하는 것을 특징으로 하는, 도로 노면 위험물 탐지 및 리워드 시스템.





The method according to claim 1, wherein the video transmitter 130 recognizes the intersection and the waiting state, public network (public free network), private Wi-Fi network (generally free) and the user's mobile network (generally paid network) an intelligent network selection unit 131 that intelligently selects; a priority transmission unit which is processed by the image preprocessing unit and preferentially transmits a target classified as a priority transmission target group; Road characterized in that it includes a general transmission unit 133 that manages and transmits a large amount of general transmission target group in a situation where the object classified as the general transmission target group processed by the image pre-processing unit is intelligently recognized as a home or office. Road surface hazardous material detection and reward system.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102579217B1 (en) * 2022-09-28 2023-09-15 (주) 경성테크놀러지 Map generation system for the transportation vulnerable using electric mobility aids

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101715211B1 (en) 2016-11-03 2017-03-13 한국건설기술연구원 Apparatus and method for detecting status of surface of road by using image and laser
KR101763915B1 (en) 2015-03-12 2017-08-14 주식회사 에코트루먼트 System For Collecting And Analyzing Big Data By Monitoring Car's And Road's Conditions
KR20190053151A (en) 2019-04-29 2019-05-17 한기호 System and method for road irregularity and damage detection using road surface flatness vibration sensing terminal

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101763915B1 (en) 2015-03-12 2017-08-14 주식회사 에코트루먼트 System For Collecting And Analyzing Big Data By Monitoring Car's And Road's Conditions
KR101715211B1 (en) 2016-11-03 2017-03-13 한국건설기술연구원 Apparatus and method for detecting status of surface of road by using image and laser
KR20190053151A (en) 2019-04-29 2019-05-17 한기호 System and method for road irregularity and damage detection using road surface flatness vibration sensing terminal

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102579217B1 (en) * 2022-09-28 2023-09-15 (주) 경성테크놀러지 Map generation system for the transportation vulnerable using electric mobility aids

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