KR20060094671A - System in bar of tunnel disaster that use speed-sensing system and a method using thereof - Google Patents

Abstract

The present invention relates to a tunnel control system and method using a non-embedded laser sensor automatic vehicle identification device and a laser sensor and CCTV.

In order to realize this, the non-embedded laser sensor vehicle identification automatic identification device and the tunnel disaster prevention management system using the laser sensor and CCTV,

A non-embedded laser detector 110 configured to include a non-embedded laser sensor which is installed at least two points, respectively, to generate an individual vehicle speed and a trigger signal when the vehicle enters a predetermined distance and detect the vehicle;

A photographing device unit 120 installed at at least two points and receiving the spot speed and the trigger signal of the individual vehicle from the non-embedded laser detection unit 110 to photograph the vehicle;

An image processor 130 for receiving an individual vehicle speed and a trigger signal from the vehicle detection unit 110, recognizing a vehicle license plate from the image and data acquired from the photographing apparatus unit 120, and determining the number and position of the license plate;

A database unit 140 which receives individual vehicle speeds and trigger signals from the acquired image and non-embedded laser detection unit 110 and stores time and date data;

 A non-embedded vehicle number automatic recognition device (100) comprising a traffic information analyzer (150) for analyzing information on traffic information (point speed, traffic volume, share, etc.) through the non-embedded laser detector (110);

Installed at least one point, the base speed information, point speed,

A non-embedded laser sensor unit 200 for generating individual vehicle speeds and trigger signals to collect base traffic information such as traffic volume, occupancy time, and vehicle type;

It consists of a shooting camera, a lighting device, and a camera for surveillance, which provides information on traffic information (point speed, traffic volume, occupancy, etc.) in a tunnel by using an algorithm to capture vehicle images and surrounding images of a certain section. A traffic information photographing unit 300;

Recognizing the license plate photographed from the photographing apparatus unit 300 and transmits the point traffic information along with the record of the passing time to the disaster prevention management room or an external linkage agency, and the accurate section speed and lane violation information through the result of the license plate recognition between the two points It transmits the vehicle speed (branch traffic) information obtained from the non-embedded laser sensor unit to the disaster prevention management room or the external linkage authority, and the display device installed on the road. A main processing control unit 400 for transmitting section travel information to 600;

The non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring photographing apparatus unit 300, and the main processing control unit 400 are connected to a mobile communication network to provide a short text message service to an administrator. The non-embedded vehicle number automatic recognition device 100 and the non-embedded laser sensor unit 200 and the monitoring and traffic information photographing unit 300 and the main processing control unit 400 are connected to a wired / wireless network. It is characterized in that it comprises a communication server 500 for communicating so as to display traffic information and base traffic information and travel time on the display device 600.

Moreover, in the tunnel disaster prevention management method of this invention,

A traveling vehicle detection step of sensing the traveling vehicle with a predetermined non-embedded laser sensor;

An image acquisition step of acquiring a vehicle image by photographing the detected driving vehicle at a predetermined time interval;

A license plate recognition step of recognizing a license plate from the obtained vehicle images;

A discriminating step of discriminating a vehicle number and a location of the recognized license plate;

A vehicle speed calculating step of calculating a vehicle speed based on an acquisition time interval of the vehicle image and a distance and a position of the obtained vehicle image;

A data analysis step of analyzing a traffic volume, occupancy rate, etc. of a predetermined road through the calculated vehicle speed;

A data storage step of storing main traffic information data such as date, time, speed, image and region information, traffic volume of road, share of road, etc. for the acquired image;

A communication transmission step of transmitting the traffic information data calculated by transmitting and receiving the traffic information data to and from the disaster prevention management room;

A notice generation reception step of transmitting a short text message to the manager's computer and the manager's mobile communication terminal when the notice situation occurs in the data analysis step;

A notice occurrence checking step for checking the notice occurrence situation using an image;

It is configured to include a notice status notification step of contacting the authorities concerned to confirm the occurrence of the notice.

According to the present invention, by using the non-embedded detection sensor and automatic vehicle number recognition device to operate the photographing device and extract the traffic information in real time to the disaster prevention management room or related organizations, in particular unlike the buried loop is not buried The cannibalic laser detector and CCTV have no damage to the road and the vehicle control in the tunnel is not necessary to recover the detector in the event of a failure, so that the vehicle is not congested and no complaints occur. It does not cause inconvenience and provides easier maintenance for managers.

In addition, the economical effect compared to the buried roof eliminates the need for control, resulting in reduced vehicle running costs and reduced driver downtime costs.

On the other hand, it is possible to provide information to travelers by acquiring point traffic information and section travel time information, and it is possible to minimize casualties and property damage by providing SMS service to managers in case of emergency.

 Laser sensors, traffic information, cameras, tunnels.

Description

System In Bar of Tunnel Disaster That Use Speed-Sensing System and a Method Using Thereof}

1 is a block diagram of a tunnel disaster prevention management system using a non-embedded laser sensor vehicle identification automatic recognition device and a laser sensor and CCTV according to an embodiment of the present invention.

FIG. 2 is a block diagram of a non-embedded laser detection unit of a non-embedded laser sensor vehicle identification automatic recognition device and a tunnel disaster prevention management system and method using a laser sensor and a CCTV according to an embodiment of the present invention.

3 is a block diagram of a main processing control unit of a tunnel control system using a non-embedded laser sensor vehicle identification automatic recognition device and a laser sensor and CCTV according to an embodiment of the present invention.

4 is a block diagram of a tunnel disaster prevention management system using a non-embedded laser sensor vehicle identification automatic recognition device and a laser sensor and CCTV according to an embodiment of the present invention.

5 is a flowchart of a conventional tunnel disaster prevention management system according to an embodiment of the present invention.

6 is a flowchart illustrating a tunnel disaster prevention management method using a non-embedded laser sensor automatic vehicle identification device and a laser sensor and CCTV according to an embodiment of the present invention.

7A to 7B are diagrams illustrating automatic detection of the presence of a non-embedded laser sensor vehicle number automatic recognition device and a tunnel disaster prevention management method using a laser sensor and a CCTV according to an embodiment of the present invention.

Explanation of symbols on the main parts of the drawings

100: automatic vehicle identification device 110: non-embedded laser detection unit

111: vehicle detection control unit 112: light emitting unit

113: light receiver 114: speed calculator

115: timer unit 116: trigger pulse generator

117: distance calculation unit 120: photographing device unit

130: image processing unit 140: database unit

150: traffic information analysis unit 200: non-embedded laser sensor unit

300: surveillance and traffic information photographing unit 400: main processing control unit

410: main processing unit 420: frame grabber

430: number recognition unit 440: memory unit

450: communication processing unit 500: communication server

510: disaster prevention room database unit 520: transmission unit

600: display device

The present invention relates to a tunnel control system and method using a non-embedded laser sensor automatic vehicle identification device and a laser sensor and CCTV.

In the conventional tunnel disaster prevention system, a disaster prevention system using a buried detector such as a loop or piezo has been introduced to prevent traffic jams and human and property damage in the event of a fire or traffic accident in a limited space such as a tunnel.

However, the disaster prevention system using the conventional buried roof detector as described above has a buried position due to the disconnection of roof coils due to asphalt phenomena caused by passing vehicles in summer, lane changes due to traffic system management projects, and asphalt overlay. Changes may cause malfunctions, and lanes must be controlled in tunnels for the failure of the embedded detectors or the position of the detectors. In particular, traffic jams are causing traffic jams. In addition, since the recovery period takes about seven days, it caused inconvenience to users and caused difficulty in maintenance for the administrator. In addition, it was possible to calculate only the point speed through the loop in the tunnel, and could not provide accurate tunnel section travel time by recognizing the spot speed and section vehicle number through the non-embedded laser sensor.

In the past, the present applicant has applied for and provided a vehicle speed sensing system and method in Korean Patent Registration No. 0442422.

The registered vehicle speed detecting system and method may include a vehicle detecting unit detecting a driving vehicle, a camera unit capturing the detected driving vehicle at predetermined time intervals, and acquiring an image, even when the illumination is low or at night, such as a cloudy day. An illumination unit for irradiating a predetermined amount of light so as to be able to irradiate a predetermined amount of light, Image processing unit for recognizing the license plate from the obtained image, the number and location of the license plate, and the location and number of the identified license plate and data of a predetermined time interval A speed calculator for calculating a vehicle speed, a timer unit for counting dates and times, a database unit for storing at least the obtained image, calculated speed data and time, and date data, and a controller for exchanging and controlling data with each unit If the vehicle is detected, the detected vehicle is detected at a predetermined time interval. To obtain an image, determine the position and number of the license plate from the acquired image, and determine the position and number of the license plate from the subsequently acquired image, The speed of the vehicle is calculated from the position data of the vehicle determined by the license plate.

In addition, the present applicant has applied for a traffic information analysis device in the Republic of Korea Utility Model Registration No. 0285457.

The traffic information analyzing device of the registered case is provided with a display device at two points or multiple points, respectively, and is installed at a predetermined height to generate a trigger pulse when the vehicle enters and reaches a predetermined distance, and the trigger pulse from the detection device. A photographing apparatus for receiving a photographing the vehicle, and receiving the trigger pulse from the detecting apparatus to process image information input from the photographing apparatus to generate a travel time and traffic information to communicate with each other, and to the display apparatus. Traffic information analysis device composed of a main processing device for transmitting; And a communication server connecting the traffic information analyzing apparatuses and the display apparatus via a wired or wireless network to communicate the travel time and traffic information. Through this, it is possible to grasp the vehicle information in real time by grasping the vehicle information, and to process and display the real-time travel time information to smooth the traffic flow and use the non-contact trigger pulse, so that there is no road damage and convenient installation and maintenance. Traffic congestion could be eliminated.

The present invention has been made to solve the above problems, in order to realize the purpose of the buried roof sensor instead of the embedded buried laser sensor using a non-embedded laser sensor, an automatic vehicle number recognition device and an image photographing device through a non-embedded laser sensor It collects point traffic information, traffic volume, and vehicle type (occupancy rate) in the tunnel, and track change information and collection and cracking through the automatic vehicle identification system using the non-embedded laser sensor, speed information and cracking point in the front and rear of the tunnel, speed of tunnel section Collecting information, CCTV device collects the image information in tunnel, traffic information, traffic volume, vehicle type (occupancy rate) in tunnel, and also collects traffic information in tunnel and emergency information in tunnel through this device. In case of an emergency by sending it to the local police station, disaster prevention management room or related organization located at a remote location in real time through the network. It aims to minimize the damage to life and property by sending an emergency situation at the time of re-management or to related organizations.

In addition, the sensor type automatic identification device calculates tunnel section information such as tunnel travel time, tunnel travel speed, etc. and provides functions to prevent accidents and establish traffic safety by monitoring accidents and establishing a response system. The purpose is to.

In particular, unlike buried loops, non-embedded laser detectors and CCTVs do not require vehicle control in the tunnel to recover the detectors in case of failure, thereby eliminating traffic congestion, no complaints, and faulty actions. The purpose is to provide easy maintenance for the administrators without causing inconvenience to users.

Another purpose is to be able to send an emergency message to the mobile communication terminal of the administrator stored in the system in advance through the SMS service in the emergency situation in the tunnel.

Tunnel disaster prevention management system and method using a laser sensor type vehicle identification automatic recognition device and a laser sensor and CCTV of the present invention to achieve the above object,

 Tunnel disaster prevention management system using laser sensor type automatic vehicle identification device and laser sensor and CCTV,

A non-embedded laser detector 110 configured to include a non-embedded laser sensor which is installed at least two points, respectively, to generate an individual vehicle speed and a trigger signal when the vehicle enters a predetermined distance and detect the vehicle;

A photographing device unit 120 installed at at least two points and receiving the spot speed and the trigger signal of the individual vehicle from the non-embedded laser detection unit 110 to photograph the vehicle;

An image processor 130 for receiving an individual vehicle speed and a trigger signal from the vehicle detection unit 110, recognizing a vehicle license plate from the image and data acquired from the photographing apparatus unit 120, and determining the number and position of the license plate;

A database unit 140 which receives individual vehicle speeds and trigger signals from the acquired image and non-embedded laser detection unit 110 and stores time and date data;

 A non-embedded vehicle number automatic recognition device (100) comprising a traffic information analyzer (150) for analyzing information on traffic information (point speed, traffic volume, share, etc.) through the non-embedded laser detector (110);

 Installed at least one point, the base speed information, point speed,

A non-embedded laser sensor unit 200 for generating individual vehicle speeds and trigger signals to collect base traffic information such as traffic volume, occupancy time, and vehicle type;

It consists of a shooting camera, a lighting device, and a camera for surveillance, which provides information on traffic information (point speed, traffic volume, occupancy, etc.) in a tunnel by using an algorithm to capture vehicle images and surrounding images of a certain section. A traffic information photographing unit 300;

Recognizing the license plate photographed from the photographing device unit 300, and transmits the traffic information along with the point of time passing through the disaster prevention management room or an external linkage agency, and the correct section speed and lane violation information through the license plate recognition result between the two points It transmits the vehicle speed (branch traffic) information obtained from the non-embedded laser sensor unit to the disaster prevention management room or the external linkage authority, and the display device installed on the road. A main processing control unit 400 for transmitting section travel information to 600;

The non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring photographing apparatus unit 300, and the main processing control unit 400 are connected to a mobile communication network to provide a short text message service to an administrator. The non-embedded vehicle number automatic recognition device 100 and the non-embedded laser sensor unit 200 and the monitoring and traffic information photographing unit 300 and the main processing control unit 400 are connected to a wired / wireless network. It comprises a communication server 500 for communicating so as to display traffic information and base traffic information and travel time on the display device 600.

The non-embedded laser detection unit 110

A light emitting unit 112 for generating a laser;

A light receiving unit 113 for receiving a laser beam emitted from the light emitting unit and reflected on the vehicle;

A speed calculator 114 for calculating a speed of the vehicle according to the distance conversion of the vehicle;

A timer unit 115 for counting a date and a time;

A vehicle detection control unit 111 which transmits individual vehicle information (point speed, traffic volume, occupancy, etc.) to the main processing controller 400 and generates a synchronization pulse when the vehicle is located at a predetermined distance;

A trigger pulse generator 116 for generating a trigger pulse by receiving a synchronization pulse from the vehicle detection controller;

And a distance calculator 117 for calculating a distance from the vehicle detector to the vehicle so as to generate a trigger pulse from the trigger pulse generator.

The speed calculation unit may further include a speed determining unit that determines whether the speed is exceeded by comparing the speed calculated by the speed limit range.

The communication server 140,

A database unit 145 for storing at least the acquired image, the calculated speed data and time, date data, acquired local location information, traffic volume, base speed information of a certain section, occupancy rate, and the like;

And a transmission unit 150 for transmitting the traffic information data to a disaster prevention management room or an external linkage authority located at a remote location and receiving a control signal of the disaster prevention management room.

 The main processing control unit 400,

A main processor 410 which performs overall control of each unit such as collecting traffic information data of specific area vehicle information (branch vehicle speed, traffic volume, vehicle occupancy, etc.) and transmitting the data to a disaster prevention management room or an external connection agency;

A frame grabber 420 for capturing image data captured by the photographing apparatus unit;

 A number recognition unit 430 for recognizing license plate data of a region detected by the image processing unit;

A memory unit 440 for storing license plate data and traffic information data of specific area vehicle information (branch vehicle speed, traffic volume, vehicle occupancy, etc.);

It characterized in that it comprises a communication processor 450 for transmitting the license plate data and the traffic information data to the disaster prevention management room or an external linkage or display device using the communication server 500.

In the tunnel disaster prevention management method of the present invention,

A traveling vehicle detection step of sensing the traveling vehicle with a predetermined non-embedded laser sensor;

An image acquisition step of acquiring a vehicle image by photographing the detected driving vehicle at a predetermined time interval;

A license plate recognition step of recognizing a license plate from the obtained vehicle images;

A discriminating step of discriminating a vehicle number and a location of the recognized license plate;

A vehicle speed calculating step of calculating a vehicle speed based on an acquisition time interval of the vehicle image and a distance and a position of the obtained vehicle image;

A data analysis step of analyzing a traffic volume, occupancy rate, etc. of a predetermined road through the calculated vehicle speed;

A data storage step of storing main traffic information data such as date, time, speed, image and region information, traffic volume of road, share of road, etc. for the acquired image;

A communication transmission step of transmitting the traffic information data calculated by transmitting and receiving the traffic information data to and from the disaster prevention management room;

A notice generation reception step of transmitting a short text message to the manager's computer and the manager's mobile communication terminal when the notice situation occurs in the data analysis step;

A notice occurrence checking step for checking the notice occurrence situation using an image;

It is configured to include a notice status notification step of contacting the authorities concerned to confirm the occurrence of the notice.

According to the present invention by providing a non-embedded laser sensor automatic vehicle identification device and tunnel disaster prevention management system and method using a laser sensor and CCTV,

 By using the non-embedded sensor and vehicle number automatic recognition device, the photographing device can be operated and traffic information can be extracted and sent to the disaster prevention management room or related organizations in real time.In particular, unlike the buried loop, the non-embedded laser detector and CCTV Since there is no damage to the road and vehicle control in the tunnel is not necessary to recover the detection unit in case of failure, this prevents the vehicle from stalling and thus does not cause complaints. It does not have this and provides administrators with easier maintenance.

In addition, the economical effect compared to the buried roof eliminates the need for control, resulting in reduced vehicle running costs and reduced driver downtime costs.

On the other hand, it is possible to provide information to travelers by acquiring point traffic information and section travel time information, and it is possible to minimize casualties and property damage by providing SMS service to managers in case of emergency.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the non-embedded laser sensor vehicle identification automatic recognition device and the tunnel disaster prevention management system and method using a laser sensor and the CCTV of the present invention.

1 is a block diagram of a tunnel disaster prevention management system using a non-embedded laser sensor vehicle identification automatic recognition device and a laser sensor and CCTV according to an embodiment of the present invention.

As shown in FIG. 1, the tunnelless management system using the non-embedded laser sensor automatic identification device and laser sensor and CCTV according to an embodiment of the present invention,

A non-embedded laser detector 110 configured to include a non-embedded laser sensor which is installed at least two points, respectively, to generate an individual vehicle speed and a trigger signal when the vehicle enters a predetermined distance and detect the vehicle;

A photographing device unit 120 installed at at least two points and receiving the spot speed and the trigger signal of the individual vehicle from the non-embedded laser detection unit 110 to photograph the vehicle;

An image processor 130 for receiving an individual vehicle speed and a trigger signal from the vehicle detection unit 110, recognizing a vehicle license plate from the image and data acquired from the photographing apparatus unit 120, and determining the number and position of the license plate;

A database unit 140 which receives individual vehicle speeds and trigger signals from the acquired image and non-embedded laser detection unit 110 and stores time and date data;

 A non-embedded vehicle number automatic recognition device (100) comprising a traffic information analyzer (150) for analyzing information on traffic information (point speed, traffic volume, share, etc.) through the non-embedded laser detector (110);

 Installed at least one point, the base speed information, point speed,

A non-embedded laser sensor unit 200 for generating individual vehicle speeds and trigger signals to collect base traffic information such as traffic volume, occupancy time, and vehicle type;

It consists of a shooting camera, a lighting device, and a camera for surveillance, which provides information on traffic information (point speed, traffic volume, occupancy, etc.) in a tunnel by using an algorithm to capture vehicle images and surrounding images of a certain section. A traffic information photographing unit 300;

Recognizing the license plate photographed from the photographing apparatus unit 300 and transmits the point traffic information along with the record of the passing time to the disaster prevention management room or an external linkage agency, and the accurate section speed and lane violation information through the result of the license plate recognition between the two points It transmits the vehicle speed (branch traffic) information obtained from the non-embedded laser sensor unit to the disaster prevention management room or the external linkage authority, and the display device installed on the road. A main processing control unit 400 for transmitting section travel information to 600;

The non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring photographing apparatus unit 300, and the main processing control unit 400 are connected to a mobile communication network to provide a short text message service to an administrator. The non-embedded vehicle number automatic recognition device 100 and the non-embedded laser sensor unit 200 and the monitoring and traffic information photographing unit 300 and the main processing control unit 400 are connected to a wired / wireless network. It is characterized in that it comprises a communication server 500 for communicating so as to display traffic information and base traffic information and travel time on the display device 600.

 Comprising the speed calculated by the speed calculation unit of the non-embedded laser detection unit 110 and further comprising a speed determining section for determining whether the speed is exceeded, if exceeding the speed limit range, the number and date of the violation vehicle , Data about the time, location and the like in real time by communicating with the main processing control unit 400 can be transmitted to the disaster prevention management room or the related organizations.

The communication server 500,

A database unit 510 for storing at least the acquired image, the calculated speed data and time, date data, acquired location information of the vehicle, traffic volume, base speed information of a certain section, occupancy rate, and the like;

And a transmission unit 520 which transmits the traffic information data to a disaster prevention management room or an external linkage authority located at a remote place, and performs a function of receiving a control signal of the disaster prevention management room.

The non-embedded laser detection unit 110 is capable of detecting a vehicle using a non-embedded laser sensor. The non-embedded laser detection unit 110 uses a non-contact sensor that detects without contacting an object such as a laser or an infrared sensor and is installed at a predetermined position. Detects a passing vehicle, generates a vehicle speed and trigger signal, receives signals according to it, collects and cracks lane information, points traffic information before and after tunnel entrance (traffic volume, speed, type of vehicle, occupancy rate) and information on crackdown. The vehicle information data is collected and transmitted to the transmission unit 520 of the communication server 500 of the disaster prevention management room at a remote location through the main processing control unit 400.

In addition, the photographing device unit 110 for acquiring the image is composed of a photographing camera unit and an illumination unit to acquire an image by shooting at a predetermined time interval, or to acquire an image by shooting at an increasingly short time interval, the setting for this Can be set freely.

The photographing apparatus unit 120 may be fixed or tracking in the vehicle driving direction, but when tracking in the vehicle driving direction, correction is performed according to the tracking when determining the position of the license plate.

The main processing control unit 400 recognizes the vehicle license plate photographed by the sensor type vehicle number automatic recognition device 100 and transmits the point traffic information to the disaster prevention management room with a record of the passing time, and utilizes the license plate recognition result. Thus, more accurate vehicle model classification is possible.

The number recognition of the license plate number was provided by the license plate automatic recognition system of patent registration No. 0132460, filed by the present applicant in 1994, the point traffic information (traffic volume, speed, vehicle type, occupancy rate) through the vehicle detection unit Etc.) has been provided by the image detection system, which is the patent registration No. 0279942, filed by the applicant in 1997.

The traffic information analysis unit 150 performs a function of analyzing information regarding the speed calculated by the non-embedded laser detection unit 110 and the traffic volume, occupancy rate, etc. of the road. In more detail, a vehicle driving on a predetermined road operates while maintaining a constant speed, which is a criterion for knowing the congestion degree and traffic volume of the predetermined road based on the speed of the vehicle. That is, when the vehicle passes the initial detection point and the last detection point in the non-embedded laser detection unit 110, the speed, distance, and time of the vehicle can be measured accordingly. In addition, it is possible to obtain the vehicle model information by analyzing the license plate of the vehicle automatically recognized, and the length of the vehicle can be obtained through the obtained vehicle model information to calculate the occupancy in combination with the speed.

Based on the measured data, the traffic volume of the road and the road occupancy can be known, and the data is transmitted to the communication server 500 through the control of the main processing controller 400. The transmitted data stores the acquired image, calculated speed data and time, date data, and acquired local location information in the database unit 510 of the communication server 500.

The traffic information data input to the communication server 500 may be collected to grasp the speed and the traffic volume before and after the tunnel in real time, and the present invention may obtain the lane change information in the tunnel as well as the speeding vehicles before and after the tunnel. The traffic information data inputted to the communication server 500 is collected for each region and transmitted to a traffic control system located at a remote location in real time, and the data is stored according to a predetermined setting in the traffic control system. The traffic information of a specific tunnel and a specific region can be provided to the user in real time.

The traffic control system is installed in a traffic tariff center located at a remote location, and is a system for integrated management of traffic information data transmitted from traffic information collection systems scattered around the country.

FIG. 2 is a block diagram of a non-embedded laser detection unit of a non-embedded laser sensor vehicle identification automatic recognition device and a tunnel disaster prevention management system using a laser sensor and a CCTV according to an embodiment of the present invention.

As shown in Fig. 2, the non-embedded laser detection unit 110

A light emitting unit 112 for generating a laser;

A light receiving unit 113 for receiving a laser beam emitted from the light emitting unit and reflected on the vehicle;

A speed calculator 114 for calculating a speed of the vehicle according to the distance conversion of the vehicle;

A timer unit 115 for counting a date and a time;

A vehicle detection control unit 111 which transmits individual vehicle information (point speed, traffic volume, occupancy, etc.) to the main processing controller 400 and generates a synchronization pulse when the vehicle is located at a predetermined distance;

A trigger pulse generator 116 for generating a trigger pulse by receiving a synchronization pulse from the vehicle detection controller;

And a distance calculator 117 that calculates a distance from the vehicle detector to the vehicle so as to generate a trigger pulse from the trigger pulse generator.

 The speed is calculated based on the position and number of the license plate and data of a predetermined time interval obtained through the license plate automatic recognition system and the image detection system registered and applied by the present applicant. For example, if T1 is 0.2 seconds, T2 is 0.4 seconds, and T3 is 0.6 seconds, the vehicle number 9375 is at 9m, 5m, and 1m positions, and the distance between S1 and S2 is 4m, respectively. Since the 9375 is traveling 4 meters in 0.2 seconds, the driving speed is 20 meters per second, or 72 kilometers per hour.

The actual driving distance of 9m, 5m, etc. is that the closer the vehicle is to the camera, the faster the position of the vehicle appears in the image according to the movement of the vehicle than when the vehicle is at a distance, and the present invention corrects this to calculate the speed. In calculating the speed, the number of image pixels on the distance in which the vehicle moves in a certain time is counted and calculated.

For example, if the number of pixels in the image is 640 x 480, when the number of pixels in the direction in which the vehicle travels is calculated, the straight distance is calculated as 1.5625cm when 640 pixels is calculated as a distance of about 10m.

If the car runs diagonally, the distance of one pixel diagonally is equal to 1.5625 times the root centimeter of about 2.213 cm.

The speed can be measured as described above, and the traffic information data is analyzed by the information calculated on the speed calculated by the traffic information analysis unit 150, the traffic volume, the occupancy rate, etc. of the road. That is, the passage speed of a specific vehicle in the tunnel entrance and exit is calculated using the time from the moment T1 to the moment T2 of the non-embedded laser sensor and the distance between the two S1 and S2.

As described above, the passing speed is calculated, and the traffic volume can be obtained by accumulating the number of the photographed images, and the share of a specific road is analyzed automatically by the license plate of the passing vehicle, and the vehicle types such as passenger cars, vans, and trucks are analyzed. By separating the vehicle length can be obtained and combined with the measured speed to calculate the tunnel entry and exit and occupancy in the tunnel.

In calculating the vehicle length, the length measurement result of the laser or the radar is used for the more precise length measurement.

The average traffic volume can be calculated by calculating the average passing speed and a predetermined time. In addition, the entrance and exit of the tunnel and the occupancy rate of the specific vehicle in the tunnel are the time from the time T1 to the time T2 of the non-contact laser sensor.

3 is a block diagram of a main processing control unit of a tunnel control system using a non-embedded laser sensor vehicle identification automatic recognition device and a laser sensor and CCTV according to an embodiment of the present invention.

 4 is a block diagram of a tunnel disaster prevention management system using a non-embedded laser sensor vehicle identification automatic recognition device and a laser sensor and CCTV according to an embodiment of the present invention.

 As shown in Figure 3, the main processing control unit 400,

A main processor 410 which performs overall control of each part such as collecting traffic information data such as vehicle speed in a specific region, traffic volume in a specific region, and occupancy rate of the vehicle and transmitting the data to a disaster prevention management office or an external linkage engine;

A frame grabber 420 for capturing image data photographed by the photographing apparatus unit 120;

 A number recognition unit 430 for recognizing license plate data of a region detected by the image processing unit;

A memory unit 440 for storing license plate data and traffic information data such as vehicle speed in a specific region, traffic volume in a specific region, and vehicle occupancy rate;

It characterized in that it comprises a communication processor 450 for transmitting the license plate data and the traffic information data to the disaster prevention management room or an external linkage or display device 600 using the communication server 500.

In more detail, in order to acquire an image through the photographing apparatus unit 120, the general control of the main processor 410 is performed, and traffic information data such as a vehicle speed in a specific region, a traffic volume in a specific region, and a vehicle occupancy rate. In order to collect the overall control of the embedded laser sensor will be performed.

The frame grabber 420 captures and digitally processes an image photographed by the photographing apparatus unit 120.

The number recognizer 430 recognizes the license plate data from the image data processed by the image processor 130 and transmits the license plate data to the main processor 410.

For example, as shown in Figure 4, the license plate data and other traffic information (vehicle passing time, speed, distance, vehicle type, transmitted from the number recognition unit 430 in the main processing unit 152 installed at the time of the tunnel Occupancy rate, etc.) is stored in the memory unit 440 and transmitted to the main processor 152 installed at the end point of the tunnel through the communication server 500 using the communication processor 450.

Then, the main processing unit 410 of the main processing control unit 400 installed at the tunnel end receives the license plate data and traffic information transmitted from the main processing unit 410 at the tunnel point described above, and receives the vehicle number of the vehicle passing through the tunnel end point. Check in the same manner as the above-mentioned tunnel point process, and if the same vehicle passes through the traffic mode adaptive travel time (TMAT) calculation method to determine the travel time of the vehicle according to the traffic characteristics change Calculate. Furthermore, the travel time data of the vehicle is stored in the memory unit 440 for other traffic information, for example, the vehicle passing time, speed, and distance, and displayed through the communication server 500 using the communication processor 450. Transmit to device 600.

 5 is a flowchart of a conventional tunnel disaster prevention management system according to an embodiment of the present invention.

As shown in FIG. 5, the conventional tunnel disaster prevention management system receives a report by a mobile communication terminal of a driver who passes through a tunnel entrance and exit path, checks the occurrence of occurrence with a photographing device installed inside the tunnel, and then, if the occurrence occurs, a related agency or Tunnel disaster prevention management system by manual detection in contact with the competent authority. As a result, it was difficult to respond quickly to an emergency.

6 is a flowchart illustrating a tunnel disaster prevention management method using a non-embedded laser sensor automatic vehicle identification device and a laser sensor and CCTV according to an embodiment of the present invention.

As shown in FIG. 6, the tunnel control method using the non-embedded laser sensor vehicle identification device and the laser sensor according to an embodiment of the present invention,

In the tunnel disaster prevention management method according to the present invention,

A driving vehicle detecting step (S100) of detecting the driving vehicle with a predetermined non-embedded laser sensor;

An image acquiring step (S110) of acquiring a vehicle image by capturing the detected driving vehicle at a predetermined time interval;

A license plate recognition step (S120) of recognizing a license plate from the obtained vehicle images;

A discriminating step (S130) of determining a vehicle number and a location of the recognized license plate;

A vehicle speed calculating step (S140) of calculating a vehicle speed based on an acquisition time interval of the vehicle image and a distance and a position of the obtained vehicle image;

A data analysis step (S150) of analyzing traffic volume, occupancy rate, etc. of the predetermined road through the calculated vehicle speed;

A data storage step (S160) of storing main traffic information data such as date, time, speed, image and region information, acquired traffic volume, and occupancy rate of the acquired image;

A communication transmission step (S170) of transmitting and receiving the traffic information data to and from the disaster prevention management room by transmitting and receiving the traffic information data to the disaster prevention management room;

A note generation reception step (S180) of transmitting a short text message to a computer of a manager and a mobile communication terminal of a manager when a notice situation occurs in the data analysis step;

Yugyeok generation confirmation step (S190) for confirming the yugyeok situation using an image;

It is configured to include the yugyo situation notification step (S200) to contact the relevant authorities to confirm the yugyeo generation.

To explain in more detail, in the data analysis step, if a notice situation occurs, a short text message is sent to the manager's computer and the manager's mobile communication terminal, and the abnormality occurrence is checked to check the video, and if there is no error, the equipment malfunction is checked and checked If an abnormality occurs during video check, for example, if a fire occurs, the relevant fire department, police station, competent authority, etc. will be notified of the situation and fire suppression and rescue and rescue activities will be performed. On the other hand, if the vehicle accident in the tunnel is confirmed, the relevant agencies, such as 119 paramedics, police stations, jurisdictions, etc. will be notified of the situation of the accident and emergency rescue activities.

 7A to 7B are diagrams illustrating automatic detection of the presence of a non-embedded laser sensor vehicle number automatic recognition device and a tunnel disaster prevention management method using a laser sensor and a CCTV according to an embodiment of the present invention.

As shown in Figs. 7A to 7B, after the sensor type vehicle identification automatic recognition device 100 is installed at the tunnel point and the tunnel end point (hereinafter, the sensor type vehicle identification automatic recognition device at the tunnel point A is the ratio of the inside of the tunnel). The buried laser sensor speed measuring device is defined as B, and the vehicle type automatic recognition device of the sensor type at the tunnel end is defined as C.) When A, B, and C are all NO, that is, when the speed is not less than 30KM, the vehicles pass the normal traffic. If the speed of A is less than 30KM, an accident has occurred in the tunnel. If the speed of A and B is less than 30KM, an accident has occurred at the end of the tunnel. Done.

And, if the speed of A, B, C is 30KM or less, it means the congestion of the tunnel section.

On the other hand, in order to automatically recognize and distinguish between a traffic jam and an accident occurrence, the vehicle speed is recognized as a traffic jam in the case of a downward trend compared to the vehicle speed by 10 minutes on a one-hour basis.

It is preferable to install at least two or more in order to analyze the installation position and the quantity of the sensor type automatic vehicle identification device in more detail, and set the time for one hour to automatically recognize and distinguish the vehicle congestion and accident occurrence. It is set as / 10 minutes, but time setting can be adjusted by the administrator.

In addition, through the recognized license plate, the area in which the vehicle is located is data-stored in the communication server 500, traffic information data is collected by region, and transmitted to the traffic control system in real time and the predetermined setting in the traffic control system. As data is stored, traffic volume information data of a specific region is provided to a user who wants to obtain traffic information by accessing the data. Collecting traffic information data such as vehicle speed, specific traffic volume, and vehicle occupancy rate in a specific area at a predetermined time interval, and transmitting the traffic information detected through the above configuration to a traffic control system, It will be able to collect in real time to provide traffic information to the vehicle operator who wants to pass through the congested area to solve the congestion caused by the road to induce smooth traffic flow.

Those skilled in the art to which the present invention pertains as described above may understand that the present invention may be implemented in other specific forms without changing the technical spirit or essential features of the present invention. Therefore, the above-described embodiments are to be understood as illustrative in all respects and not restrictive.

The scope of the invention is indicated by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the invention. do.

According to the tunnel control system and method using the non-embedded laser sensor automatic identification device and laser sensor and CCTV according to the present invention having the above configuration and action,

By using the non-embedded sensor and vehicle number automatic recognition device, the photographing device can be operated and traffic information can be extracted and sent to the disaster prevention management room or related organizations in real time.In particular, unlike the buried loop, the non-embedded laser detector and CCTV Since there is no damage to the road and vehicle control in the tunnel is not necessary to recover the detector in case of a failure, no complaints are caused because the vehicle is not congested, which causes inconvenience to users. It does nothing and provides administrators with easier maintenance.

In addition, the economical effect compared to the buried roof eliminates the need for control, resulting in reduced vehicle running costs and reduced driver downtime costs.

On the other hand, it is possible to provide information to travelers by acquiring point traffic information and section travel time information, and it is possible to minimize casualties and property damage by providing SMS service to managers in case of emergency.

Claims (6)

A non-embedded laser detector 110 configured to include a non-embedded laser sensor which is installed at least two points, respectively, to generate an individual vehicle speed and a trigger signal when the vehicle enters a predetermined distance and detect the vehicle; A photographing device unit 120 installed at at least two points and receiving the spot speed and the trigger signal of the individual vehicle from the non-embedded laser detection unit 110 to photograph the vehicle; An image processor 130 for receiving an individual vehicle speed and a trigger signal from the vehicle detection unit 110, recognizing a vehicle license plate from the image and data acquired from the photographing apparatus unit 120, and determining the number and position of the license plate; A database unit 140 which receives individual vehicle speeds and trigger signals from the acquired image and non-embedded laser detection unit 110 and stores time and date data;  A non-embedded vehicle number automatic recognition device (100) comprising a traffic information analyzer (150) for analyzing information on traffic information (point speed, traffic volume, share, etc.) through the non-embedded laser detector (110); Installed at least one point, the base speed information, point speed, A non-embedded laser sensor unit 200 for generating individual vehicle speeds and trigger signals to collect base traffic information such as traffic volume, occupancy time, and vehicle type; It consists of a shooting camera, a lighting device, and a camera for surveillance, which provides information on traffic information (point speed, traffic volume, occupancy, etc.) in a tunnel by using an algorithm to capture vehicle images and surrounding images of a certain section. A traffic information photographing unit 300; Recognizes the license plate photographed from the monitoring and traffic information photographing device unit 300 and transmits the point traffic information along with the record of the passing time to the disaster prevention management room or an external linkage agency, the correct section speed through the result of the license plate recognition between the two points And lane violation information to the relevant police station and disaster prevention management room or external linkage authority, and transmits individual vehicle speed (branch traffic) information obtained from the non-embedded laser sensor to the disaster prevention control room or external linkage authority, A main processing controller 400 for transmitting section travel information to the display apparatus 600 installed in the apparatus; Short text to the administrator by connecting the non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring and traffic information photographing unit 300 and the main processing control unit 400 with a mobile communication network Providing a message service, the non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring and traffic information photographing unit 300 and the main processing control unit 400 and wired and wireless network and Non-embedded laser sensor vehicle number automatic recognition device characterized in that it comprises a communication server 500 for communicating so as to display the point traffic information and base traffic information and travel time on the display device 600 by connecting Tunnel disaster prevention management system using laser sensor and CCTV. The method of claim 1, The non-embedded laser detection unit 110 A light emitting unit 112 for generating a laser; A light receiving unit 113 for receiving a laser beam emitted from the light emitting unit and reflected on the vehicle; A speed calculator 114 for calculating a speed of the vehicle according to the distance conversion of the vehicle; A timer unit 115 for counting a date and a time; A vehicle detection control unit 111 which transmits individual vehicle information (point speed, traffic volume, occupancy, etc.) to the main processing controller 400 and generates a synchronization pulse when the vehicle is located at a predetermined distance; A trigger pulse generator 116 for generating a trigger pulse by receiving a synchronization pulse from the vehicle detection controller; Non-embedded laser sensor vehicle number automatic recognition device and a laser, characterized in that it comprises a distance calculator 117 for calculating the distance from the vehicle detection unit to the vehicle to generate a trigger pulse from the trigger pulse generation unit Tunnel disaster prevention management system using sensors and CCTV. The method according to claim 1 or 2, A non-embedded laser sensor automatic identification device and a tunnel using a laser sensor and CCTV, characterized in that it further comprises a speed determination unit for determining whether the speed is compared by comparing the speed calculated by the speed calculator with the speed limit range. Disaster Prevention Management System. The method of claim 1, The communication server 500, A database unit (510) for storing at least the acquired image, calculated speed data and time, date data and acquired regional location information, traffic volume, base speed information of a certain section, occupancy rate, and the like; A non-embedded laser sensor, comprising: a transmission unit 520 for transmitting the traffic information data to a disaster prevention management room or an external linkage authority located at a remote location and receiving a control signal of the disaster prevention management room; Tunnel disaster prevention management system using automatic vehicle identification system, laser sensor and CCTV. The method of claim 1, The main processing control unit 400, A main processor 410 which performs overall control of each unit such as collecting traffic information data of specific area vehicle information (branch vehicle speed, traffic volume, vehicle occupancy, etc.) and transmitting the data to a disaster prevention management room or an external connection agency; A frame grabber 420 for capturing image data captured by the photographing apparatus unit; A number recognition unit 430 for recognizing license plate data of a region detected by the image processing unit; A memory unit 440 for storing license plate data and traffic information data of specific area vehicle information (branch vehicle speed, traffic volume, vehicle occupancy, etc.); Non-embedded laser sensor vehicle characterized in that it comprises a communication processor 450 for transmitting the license plate data and the traffic information data to the disaster prevention management room or an external linkage or display device using the communication server 500. No. Disaster prevention management system using automatic recognition device and laser sensor and CCTV. A non-embedded laser detector 110 configured to include a non-embedded laser sensor which is installed at least two points, respectively, to generate an individual vehicle speed and a trigger signal when the vehicle enters a predetermined distance and detect the vehicle; A photographing device unit 120 installed at at least two points and receiving the spot speed and the trigger signal of the individual vehicle from the non-embedded laser detection unit 110 to photograph the vehicle; An image processor 130 for receiving an individual vehicle speed and a trigger signal from the vehicle detection unit 110, recognizing a vehicle license plate from the image and data acquired from the photographing apparatus unit 120, and determining the number and position of the license plate; A database unit 140 which receives individual vehicle speeds and trigger signals from the acquired image and non-embedded laser detection unit 110 and stores time and date data;  A non-embedded vehicle number automatic recognition device (100) comprising a traffic information analyzer (150) for analyzing information on traffic information (point speed, traffic volume, share, etc.) through the non-embedded laser detector (110); Installed at least one point, the base speed information, point speed, A non-embedded laser sensor unit 200 for generating individual vehicle speeds and trigger signals to collect base traffic information such as traffic volume, occupancy time, and vehicle type; It consists of a shooting camera, a lighting device, and a camera for surveillance, which provides information on traffic information (point speed, traffic volume, occupancy, etc.) in a tunnel by using an algorithm to capture vehicle images and surrounding images of a certain section. A traffic information photographing unit 300; Recognizes the license plate photographed from the monitoring and traffic information photographing device unit 300 and transmits the point traffic information along with the record of the passing time to the disaster prevention management room or an external linkage agency, the correct section speed through the result of the license plate recognition between the two points And lane violation information to the relevant police station and disaster prevention management room or external linkage authority, and transmits individual vehicle speed (branch traffic) information obtained from the non-embedded laser sensor to the disaster prevention control room or external linkage authority, A main processing controller 400 for transmitting section travel information to the display apparatus 600 installed in the apparatus; Short text to the administrator by connecting the non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring and traffic information photographing unit 300 and the main processing control unit 400 with a mobile communication network Providing a message service, the non-embedded vehicle number automatic recognition device 100, the non-embedded laser sensor unit 200, the monitoring and traffic information photographing unit 300 and the main processing control unit 400 and wired and wireless network and In the tunnel disaster prevention management method comprising a communication server 500 for communicating so as to display the point traffic information and base traffic information and travel time on the display device 600 by connecting, A driving vehicle detecting step (S100) of detecting the driving vehicle with a predetermined non-embedded laser sensor; An image acquiring step (S110) of acquiring a vehicle image by capturing the detected driving vehicle at a predetermined time interval; A license plate recognition step (S120) of recognizing a license plate from the obtained vehicle images; A discriminating step (S130) of determining a vehicle number and a location of the recognized license plate; A vehicle speed calculating step (S140) of calculating a vehicle speed based on an acquisition time interval of the vehicle image and a distance and a position of the obtained vehicle image; A data analysis step (S150) of analyzing traffic volume, occupancy rate, etc. of the predetermined road through the calculated vehicle speed; A data storage step (S160) of storing main traffic information data such as date, time, speed, image and region information, acquired traffic volume, and occupancy rate of the acquired image; A communication transmission step (S170) of transmitting and receiving the traffic information data to and from the disaster prevention management room by transmitting and receiving the traffic information data to the disaster prevention management room; A note generation reception step (S180) of transmitting a short text message to a computer of a manager and a mobile communication terminal of a manager when a notice situation occurs in the data analysis step; Yugyeok generation confirmation step (S190) for confirming the yugyeok situation using an image; Non-embedded laser sensor vehicle identification automatic identification device, characterized in that it comprises a yugyeok situation notification step (S200) to contact the relevant institutions to confirm the yugyeok generation.

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