KR20210065261A - Apparatus and method for the recognition of accident situation in tunnel based on parallel radar sensor - Google Patents

Abstract

An embodiment can provide an interface that uses an IoT sensor or a radar-based motion sensor in a tunnel to detect an accident saturation through information analysis, recognizes a vehicle stop, congestion situation, analyzes a pattern in real time, recognizes the accident saturation in the tunnel through the information analysis, and then propagates immediately the situation. A system includes a plurality of motion sensors, a plurality of sensor controllers, a collection and analysis module, and a total control server.

Description

Apparatus and method for the recognition of accident situation in tunnel based on parallel radar sensor

Various embodiments relate to an apparatus and method for recognizing an accident situation in a tunnel based on a parallel radar sensor.

In general, a road traffic information collection system such as a closed circuit (CCTV) that collects traffic information data on various roads such as high-speed national roads, national roads, tunnels, and bridges in order to monitor vehicle traffic on the road and perform real-time traffic management is used, and an image control device is used to control the image captured by the road traffic information collection system.

However, there are several limitations in determining the road traffic information collection system using CCTV, particularly, vehicle operation, stop, and accident in a tunnel. In particular, it is difficult to determine whether there is an accident only with a CCTV failure or vehicle operation video, and it is difficult to spread the situation in the tunnel and the presence or absence of an accident to other drivers who have entered the tunnel or are trying to enter the tunnel.

The embodiment uses an IoT sensor or a radar-based motion sensor in the tunnel to detect an accident situation through information analysis, recognize a vehicle stop and congestion situation, analyze a pattern in real time, and analyze an accident situation in the tunnel through information analysis. To provide an apparatus, method, and system for recognizing an accident situation in a tunnel based on a parallel radar sensor that can provide an interface for immediate situation propagation after recognition.

In order to achieve the above technical problem, a system for recognizing an accident situation in a tunnel based on a parallel radar sensor according to an embodiment includes: a plurality of motion sensors arranged at predetermined intervals in a tunnel and grouped by a predetermined number; a plurality of sensor controllers controlling the predetermined number of grouped motion sensors and receiving sensor signals from the grouped motion sensors; a collection and analysis module that performs remote wireless communication with the plurality of sensor controllers, analyzes sensor signals transmitted from the plurality of sensor controllers, and recognizes an accident situation in the tunnel based on the analyzed result; and a comprehensive control server that generates alarm information on the accident situation in the tunnel based on the recognition information provided from the collection and analysis module, and transmits the generated alarm information to a plurality of user terminals.

The plurality of sensor controllers, including a Bluetooth module for transmitting and receiving beacon signals, transmits strength information of beacon signals received from any user terminal in a vehicle entering or passing through a tunnel to the comprehensive control server,

The comprehensive control server, based on the received beacon signal strength information, characterized in that for transmitting the alarm information to a user terminal selected from among the plurality of user terminals.

The plurality of motion sensors, which are radar-based motion sensors, are arranged at an interval of at least 5m in the tunnel, and are grouped into at least six radar-based motion sensors.

The integrated control server is characterized in that it transmits the generated alarm information to an electric sign provided on the entrance side of the tunnel.

The collection and analysis module is configured to stop the vehicle moving in the tunnel based on the arrangement information of the plurality of sensor controllers, the arrangement information of each of the plurality of motion sensors, and the magnitude of a sensor signal sensed from each motion sensor. , characterized by recognizing an accident situation including at least one of congestion and the presence or absence of an accident.

The collection and analysis module is characterized in that it learns at least one or more accident types, and recognizes an accident situation as one of the learned accident types based on the transmitted sensor signals.

The collection and analysis module is characterized in that it transmits a control command for controlling one of the detection period, restart, and sensor signal reception period of the plurality of motion sensors to the plurality of sensor controllers according to the control of the comprehensive control server. .

An apparatus for recognizing an accident situation in a tunnel based on a parallel radar sensor according to another embodiment includes: a plurality of motion sensors arranged at predetermined intervals in a tunnel and grouped in a predetermined number; a plurality of sensor controllers controlling the predetermined number of grouped motion sensors and receiving sensor signals from the grouped motion sensors; and performing remote wireless communication with the plurality of sensor controllers, analyzing sensor signals transmitted from the plurality of sensor controllers, recognizing the accident situation in the tunnel based on the analyzed result, and pre-learned accident types and a collection and analysis module for recognizing an accident situation as one of the accident types, and transmitting the recognized accident situation to an external server.

A method for recognizing an accident situation in a tunnel based on a parallel radar sensor according to another embodiment includes: receiving sensor signals from a plurality of motion sensors arranged at predetermined intervals in a tunnel and grouped in a predetermined number; analyzing the received sensor signals and recognizing an accident situation in the tunnel based on the analyzed result; and recognizing an accident situation as one of the pre-learned accident types, and transmitting the recognized accident situation to an external server.

It includes a recording medium in which a program for executing the method according to another embodiment in a computer is recorded.

1 is a schematic diagram of a system 100 for recognizing an accident situation in a tunnel based on a parallel radar sensor according to an embodiment.
FIG. 2 is a configuration diagram of a device for recognizing an accident situation in a tunnel based on the parallel type radar sensor shown in FIG. 1 .
FIG. 3 is a schematic block diagram of the sensor controller 110 shown in FIG. 2 .
FIG. 4 is a signal flow diagram of the system 100 shown in FIG. 1 .
5 is a diagram illustrating an arrangement of a motion sensor and a sensor controller of the system 100 for recognizing an accident situation in a tunnel based on a parallel radar sensor according to another embodiment.

The terms used in the present disclosure have been described as general terms currently used in consideration of the functions referred to in the present disclosure, but may mean various other terms according to the intention or precedent of those skilled in the art, the emergence of new technology, etc. can Therefore, the terms used in the present disclosure should not be construed only as names of terms, but should be interpreted based on the meaning of the terms and the content throughout the present disclosure.

Also, terms such as first, second, etc. may be used to describe various components, but the components should not be limited by these terms. These terms are used for the purpose of distinguishing one component from another.

In addition, the terms used in the present disclosure are only used to describe specific embodiments, and are not intended to limit the present disclosure. Expressions in the singular include the plural meaning unless the context clearly means the singular. In addition, throughout the specification, when a certain part is said to be "connected" with another part, it is not only "directly connected" but also "electrically connected" with another element interposed therebetween. include In addition, when a part "includes" a certain component, this means that other components may be further included, rather than excluding other components, unless otherwise stated.

As used herein, particularly in the claims, "the" and similar referents may refer to both the singular and the plural. Further, the described steps may be performed in any suitable order, unless there is a description explicitly designating the order of the steps describing the method according to the present disclosure. The present disclosure is not limited according to the order of description of the described steps.

Phrases such as “in some embodiments” or “in one embodiment” appearing in various places in this specification are not necessarily all referring to the same embodiment.

Some embodiments of the present disclosure may be represented by functional block configurations and various processing steps. Some or all of these functional blocks may be implemented in various numbers of hardware and/or software configurations that perform specific functions. For example, the functional blocks of the present disclosure may be implemented by one or more microprocessors, or by circuit configurations for a given function. Also, for example, the functional blocks of the present disclosure may be implemented in various programming or scripting languages. The functional blocks may be implemented as an algorithm running on one or more processors. Also, the present disclosure may employ prior art for electronic configuration, signal processing, and/or data processing, and the like. Terms such as “mechanism”, “element”, “means” and “configuration” may be used broadly and are not limited to mechanical and physical components.

In addition, the connecting lines or connecting members between the components shown in the drawings only exemplify functional connections and/or physical or circuit connections. In an actual device, a connection between components may be represented by various functional connections, physical connections, or circuit connections that are replaceable or added.

In an embodiment, a motion sensor or a motion detector also refers to an electronic device that recognizes from a simple reaction such as detecting a motion of an object to a delicate facial expression of a human being. In an embodiment, the motion sensor is used for detecting the movement of a vehicle. In addition, the motion sensor may be a radar-based motion sensor, and a plurality of radar modules may be arranged in parallel to one motion sensor. A plurality of such radar modules may be arranged vertically or horizontally. Depending on the arrangement of the radar module, that is, the vertical or horizontal arrangement, the area coverage of the detection area may be different.

In an embodiment, the tunnel is a tunnel for the passage of vehicles, and is not limited to the type and length of the tunnel.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a system 100 for recognizing an accident situation in a tunnel based on a parallel-type radar sensor according to an embodiment.

The system 100 performs remote wireless communication with a plurality of motion sensors 111 and 112 , a plurality of sensor controllers 110 , and a plurality of sensor controllers 110 arranged at regular intervals in the tunnel and grouped in a certain number. and analyzes the sensor signals transmitted from the plurality of sensor controllers 110, and the recognition provided from the collection and analysis module 120 and the collection and analysis module 120 for recognizing the accident situation in the tunnel based on the analyzed result It includes a comprehensive control server 130 that generates alarm information about an accident situation in the tunnel based on the information and transmits the generated alarm information to a plurality of user terminals.

The plurality of motion sensors 111 and 112 are arranged at regular intervals in the tunnel, for example, at intervals of 5 m. Here, of course, it may be arranged at a narrower interval or a wider interval according to the length of the tunnel, the lane, or the amount of traffic. In addition, although it is shown that five motion sensors 111 are grouped into one in FIG. 1 , the present invention is not limited thereto, and more motion sensors may be grouped according to the specifications and signal transmission requirements of the motion controller 110 . . Here, the motion sensor may be a radar-based motion sensor.

The plurality of sensor controllers 110 control motion sensors grouped in a predetermined number, receive sensor signals from the grouped motion sensors, and transmit the received sensor signals to the collection and analysis module 120 . The sensor controller 110 may be disposed in an appropriate number capable of stably receiving and controlling sensor signals from a plurality of motion sensors 111 and 112 disposed in the tunnel. A detailed configuration of the sensor controller 110 will be described later with reference to FIG. 3 .

The collection and analysis module 120 analyzes the sensor signals transmitted from the plurality of sensor controllers 110 and recognizes an accident situation in the tunnel based on the analyzed result. Here, although the collection and analysis module 120 is illustrated as a separate collection and analysis server 120 , the present invention is not limited thereto, and may be provided in the comprehensive control server 130 .

The collection and analysis module 120 is configured in the tunnel based on the arrangement information of the plurality of sensor controllers 110, the arrangement information of each of the plurality of motion sensors 111 and 112, and the magnitude of the sensor signal detected from each motion sensor. Recognizes accident situations, including whether a vehicle is stopped, jammed, or whether there is an accident. To this end, the collection and analysis module 120 learns an accident type, for example, normal traffic, delay, congestion, collision, fire, reverse driving, etc., based on many sensor signals collected in the tunnel. Examples of the learning algorithm include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.

The collection and analysis module 120 recognizes an accident situation by comparing the sensor signals transmitted from the sensor controller 110 with the pre-learned accident type.

In addition, the collection and analysis module 120 transmits a control command for controlling the detection period, restart, and sensor signal reception period of the plurality of motion sensors to the plurality of sensor controllers 110 according to the control of the integrated control server 130 . do.

The comprehensive control server 130 generates alarm information about an accident situation in the tunnel based on the recognition information provided from the collection and analysis module 120 , and transmits the generated alarm information to a plurality of user terminals. Here, the user terminal may be a vehicle running in a tunnel or a terminal provided by a vehicle driver scheduled to pass through the tunnel. Here, the user terminal may include a mobile phone, a smart phone, a wearable device, a laptop computer, a tablet PC, and the like, but is not limited thereto. In addition, the user terminal may include a telematics terminal, a black box, a navigation terminal, a vehicle infotainment apparatus, and the like provided in a vehicle, in addition to the device carried by the user.

In addition, the comprehensive control server 130 may transmit alarm information to an electric sign provided on the entrance side of the tunnel to quickly inform a vehicle about to enter the tunnel of the accident situation in the tunnel. In addition, the comprehensive control server 130 may transmit the alarm information to another traffic broadcasting server (not shown) to quickly propagate the accident situation to other vehicle drivers far away through the traffic broadcasting server. In an embodiment, by confirming the exact location of the accident in the tunnel, the accident risk warning is displayed on the LED signboard provided at the entrance of the tunnel, propagated through an application or radio broadcast to the rear vehicle trying to enter the tunnel, or a detour is guided, An evacuation route may be provided to vehicles in the tunnel.

The comprehensive control server 130 may control the collection and analysis module 120 and the sensor controller 110 , and may transmit a control command to perform periodic status report and event report. Here, it is possible to control to report a report cycle change, motion sensor restart, or a current event state according to the changed reporting cycle.

An accident situation recognition system in a tunnel based on a parallel radar sensor according to an embodiment detects an accident situation through information analysis using an IoT sensor or a radar-based motion sensor in the tunnel, recognizes the vehicle stop, congestion situation, and real-time After analyzing the pattern and recognizing the accident situation in the tunnel through information analysis, it is possible to provide an interface for immediate situation propagation.

FIG. 2 is a configuration diagram of a device for recognizing an accident situation in a tunnel based on the parallel type radar sensor shown in FIG. 1 .

Referring to FIG. 2 , motion sensors 1 to N ( 111 - 1 to 111 -N ) transmit sensor signals sensed under the control of the sensor controller 110 to one sensor controller 110 . The sensor controller 110 transmits the collected sensor signals to the collection and analysis server 120 . Here, it should be understood that the collection and analysis module or server performs the same function. Here, six motion sensors can be connected to one sensor controller, but the number is not limited thereto. Here, the motion sensor may be a laser-based motion sensor, and a plurality of laser modules may be disposed in parallel in one motion sensor. In addition, the range of the sensing area (wide beam) may be adjusted by vertically or horizontally arranging the laser module or antenna. For example, the sensing area can be adjusted in a radial shape of approximately 6*6m or 2*6m.

FIG. 3 is a schematic block diagram of the sensor controller 110 shown in FIG. 2 .

Referring to FIG. 3 , the sensor controller 110 includes a control unit 300 , a power supply unit 310 , a wireless communication unit 320 , a short-range communication unit 330 , a sensor signal receiving unit 340 , and a display unit 350 .

The controller 300 controls the overall operation of the sensor controller 110 . The control unit 300 controls each component.

The power supply unit 310 may be a modular power supply device that converts alternating current (AC) electricity supplied from commercial power to suit various devices such as computers, communication devices, and home appliances, and uses high-speed power semiconductors to generate high-frequency power. It performs intermittent control and obtains stable various DC voltages through rectification and smoothing circuits. The power supply unit 310 may be a switching mode power supply (hereinafter referred to as SMPS), and supplies DC 12V. DC 12V is used as a power source for a plurality of motion sensors connected to the sensor controller 110 . The power supply unit 310 converts DC to 3.3V through a power management IC, and supplies power to the control unit 300 , the wireless communication unit 320 , and the short-range communication unit 330 .

The wireless communication unit 320 transmits sensor signals to the collection and analysis server 120 , and receives a control command from the collection and analysis server 120 . The wireless communication unit 320 may be a 5G, 4G mobile communication network, or a maritime wireless communication network (LTE-M, LTE-Maritime). LTE_M is a communication network that can use high-speed data communication up to 100km off the sea. LTE-M is the basis for providing navigation. It also serves as a maritime disaster network to avoid wasting golden time and search and rescue responses in the event of a marine accident. Here, although LTE-M is exemplified as an example of the wireless communication unit 320 , it is of course not limited thereto.

The short-range communication unit 330 may be a Bluetooth module, and transmits and receives a Bluetooth beacon signal. A beacon is a wireless communication module that can automatically recognize a smart device in a short distance and transmit necessary data. The beacon can operate at a distance of up to 50 m, and transmits a beacon signal to the smartphone of the driver of a vehicle passing through a specific place, for example, the sensor controller 110 in a tunnel. Here, according to the strength of the received beacon signal, it is possible to check the corresponding position, that is, how far it is away from the position of the sensor controller. The comprehensive control server 130 may identify the vehicle or the driver of the vehicle to which the alarm information is to be transmitted, and may accurately transmit the necessary alarm information to the user terminal of the selected vehicle or driver.

The sensor signal receiver 340 receives sensor signals from a plurality of motion sensors connected to the sensor controller 110 .

The display unit 350 may determine whether a specific motion sensor is normally operated by displaying whether the sensor received from the motion sensors is normally received with an LED.

FIG. 4 is a signal flow diagram of the system 100 shown in FIG. 1 .

4, the sensor controllers 1 to N (110-1 to 110-N) transmit the sensed sensor signals to the collection and analysis server 120, and the collection and analysis server 120 based on the sensor signals The presence or absence of an accident in the tunnel is recognized and transmitted to the comprehensive control server 130 .

The comprehensive control server 130 controls the sensor controllers 1 to N (110-1 to 110-N) through the collection and analysis server 120 .

In the embodiment, when dividing into normal and emergency, the normal case is the case where the measured data is within the normal range, and the emergency case is the case where the measured data is out of the normal range.

In a normal case, the periodic status report may include sensor and module failure status information, and when the control command is transmitted from the general control server 130 after the periodic status report, the report may be reported after the command is executed. In this case, the report information may be a change of a report period, restart of the motion sensor, and the like.

In case of an emergency, data for specific events such as congestion detection and vehicle stop detection are transmitted. The collection and analysis server 120 may analyze the sequence and type of event report and predict the accident type. Such prediction or event recognition information is transmitted to the comprehensive control server 130 .

The event and periodic report may include a report according to a changed reporting cycle or when the current event status is changed.

5 is an exemplary arrangement diagram of a motion sensor and a sensor controller of the system 100 for recognizing an accident situation in a tunnel based on a parallel radar sensor according to another embodiment.

Referring to FIG. 5 , six motion sensors 111-1 to 111-6 are disposed in a tunnel, and a sensor controller 110 that controls each of the motion sensors 111-1 to 111-6 in the middle. ) is placed in

The above-described arrangements are exemplary and not limited thereto, and of course, various arrangements may be made in consideration of the tunnel type, length, road width, sensor specifications, and sensor transmission/reception accuracy.

Meanwhile, the above-described embodiment can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable medium. In addition, the structure of the data used in the above-described embodiment may be recorded in a computer-readable medium through various means. In addition, the above-described embodiment may be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. For example, methods implemented as software modules or algorithms may be stored in a computer-readable recording medium as computer-readable codes or program instructions.

Computer-readable media may be any recording media that can be accessed by a computer, and may include volatile and nonvolatile media, removable and non-removable media. The computer readable medium may include, but is not limited to, a magnetic storage medium, for example, a ROM, a floppy disk, a hard disk, and the like, and an optically readable medium, for example, a storage medium such as a CD-ROM or DVD. . In addition, computer-readable media may include computer storage media and communication media.

In addition, a plurality of computer-readable recording media may be distributed in network-connected computer systems, and data stored in the distributed recording media, for example, program instructions and codes may be executed by at least one computer. have.

The specific implementations described in this disclosure are merely exemplary and do not limit the scope of the disclosure in any way. For brevity of the specification, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted.

The description of the present disclosure described above is for illustration, and those of ordinary skill in the art to which the present disclosure pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present disclosure. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

Those of ordinary skill in the art related to the embodiments of the present disclosure will understand that it may be implemented in a modified form without departing from the essential characteristics of the description.

The present disclosure can apply various transformations and can have various embodiments, and the present disclosure is not limited by the specific embodiments described in the specification, and all transformations and equivalents included in the spirit and scope of the present disclosure It should be understood that alternatives are included in the present disclosure. Therefore, the disclosed embodiments are to be understood in an illustrative rather than a restrictive sense.

The scope of the present disclosure is indicated by the claims rather than the detailed description of the invention, 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 present disclosure.

As used herein, terms such as “…unit” and “module” mean a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

“Part” and “module” are stored in an addressable storage medium and may be implemented by a program that can be executed by a processor.

For example, “part” and “module” refer to components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and programs. It may be implemented by procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables.

Claims (10)

A system for recognizing an accident situation in a tunnel based on a parallel-type radar sensor,
a plurality of motion sensors arranged at predetermined intervals in the tunnel and grouped in a predetermined number;
a plurality of sensor controllers controlling the predetermined number of grouped motion sensors and receiving sensor signals from the grouped motion sensors;
a collection and analysis module that performs remote wireless communication with the plurality of sensor controllers, analyzes sensor signals transmitted from the plurality of sensor controllers, and recognizes an accident situation in the tunnel based on the analyzed result; and
A system comprising a comprehensive control server that generates alarm information on the accident situation in the tunnel based on the recognition information provided from the collection and analysis module, and transmits the generated alarm information to a plurality of user terminals. The method of claim 1,
The plurality of sensor controllers,
Includes a Bluetooth module for transmitting and receiving beacon signals,
Transmitting the strength information of the beacon signal received from any user terminal in the vehicle entering or passing through the tunnel to the comprehensive control server,
The general control server,
and transmitting the alarm information to a user terminal selected from among the plurality of user terminals based on the received beacon signal strength information. 3. The method of claim 2,
The plurality of motion sensors,
Radar-based motion sensors,
The system of claim 1, wherein the system is arranged at least 5 m apart in the tunnel and grouped with at least 6 radar-based motion sensors. The method of claim 1,
The general control server,
The system, characterized in that it transmits the generated alarm information to an electric sign provided on the entrance side of the tunnel. The method of claim 1,
The collection and analysis module,
Based on the arrangement information of the plurality of sensor controllers, the arrangement information of each of the plurality of motion sensors, and the magnitude of a sensor signal sensed from each motion sensor, at least one of stopping, congestion, and accident status A system for recognizing an accident situation comprising one. 6. The method of claim 5,
The collection and analysis module,
learning at least one thought pattern,
System, characterized in that for recognizing an accident situation as one of the accident types learned based on the transmitted sensor signals. 7. The method of claim 6,
The collection and analysis module,
The system according to the control of the general control server, characterized in that for transmitting a control command for controlling one of the detection period, restart, and sensor signal reception period of the plurality of motion sensors to the plurality of sensor controllers. A device for recognizing an accident situation in a tunnel based on a parallel radar sensor,
a plurality of motion sensors arranged at predetermined intervals in the tunnel and grouped in a predetermined number;
a plurality of sensor controllers controlling the predetermined number of grouped motion sensors and receiving sensor signals from the grouped motion sensors; and
It performs remote wireless communication with the plurality of sensor controllers, analyzes sensor signals transmitted from the plurality of sensor controllers, recognizes the accident situation in the tunnel based on the analyzed result, and selects one of pre-learned accident types. A device comprising a collection and analysis module for recognizing an accident situation as one accident type, and transmitting the recognized accident situation to an external server. A method for recognizing an accident situation in a tunnel based on a parallel radar sensor, comprising:
Receiving sensor signals from a plurality of motion sensors arranged at predetermined intervals in the tunnel and grouped in a predetermined number;
analyzing the received sensor signals and recognizing an accident situation in the tunnel based on the analyzed result;
Recognizing an accident situation as one of the pre-learned accident types, and transmitting the recognized accident situation to an external server. A recording medium recording a program for executing the method according to claim 9 in a computer.

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