KR20220072626A - Apparatus and method for recognizing situation in tunnel based on radar sensor - Google Patents

Abstract

An embodiment according to the present disclosure provides a plurality of motion sensors arranged at a predetermined interval in a tunnel and grouped by a predetermined number, a plurality of grouped motion sensors controlling the plurality of grouped motion sensors, and receiving sensor signals from the grouped plurality of motion sensors. The sensor controller receives sensor signals from a plurality of sensor controllers through remote wireless communication and recognizes the occurrence of an event in the tunnel based on at least one of the number of motion sensors that have generated the sensor signals and the retention time of the sensor signals; and A radar sensor-based tunnel comprising an analysis module, and a comprehensive control server that generates alarm information on the 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 A system for my situational awareness is disclosed.

Description

Apparatus and method for situation recognition in tunnel based on radar sensor

Various embodiments according to the present disclosure relate to an apparatus and method for recognizing a situation in a tunnel through analysis of a radar sensor signal.

In general, in order to monitor vehicle traffic on the road and perform real-time traffic management, road traffic information such as a closed circuit (CCTV) that collects traffic information data on various roads such as high-speed national roads, national roads, tunnels, bridges, etc. A system 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 disseminate 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.

Various embodiments according to the present disclosure detect an accident situation through information analysis using an IoT sensor or a radar-based motion sensor in a tunnel, recognize a traffic jam situation, analyze a pattern in real time, and tunnel through information analysis To provide an apparatus, method, and system for situation recognition in a tunnel based on a radar sensor that can provide an interface for immediate situation propagation after recognizing the accident situation.

In order to achieve the above technical problem, a system for situation recognition in a tunnel based on a radar sensor according to an embodiment includes a plurality of motion sensors arranged at a predetermined interval in a tunnel and grouped in a predetermined number, the grouped plurality of motion sensors a plurality of sensor controllers for controlling the motion sensors and receiving sensor signals from the grouped plurality of motion sensors, the number of motion sensors receiving the sensor signals from the plurality of sensor controllers through remote wireless communication and generating the sensor signals; A collection and analysis module that recognizes the occurrence of an event in the tunnel based on at least one of the holding time of the sensor signal, and generates alarm information about the situation in the tunnel based on the recognition information provided from the collection and analysis module and a comprehensive control server for transmitting the generated alarm information to a plurality of user terminals.

The collection and analysis module is configured to recognize the occurrence of a first event in the tunnel when the number of the motion sensors that have generated the sensor signal is less than a first reference threshold number, and is greater than or equal to the first reference threshold number and a second The occurrence of the second event in the tunnel may be recognized when the number is less than the reference threshold number, and the occurrence of the third event in the tunnel is recognized when the number is greater than or equal to the second reference threshold number.

The collection and analysis module determines that the driving state of the vehicle in the tunnel is a slow state according to the recognition of the occurrence of the first event, and the driving state of the vehicle in the tunnel by recognizing the occurrence of the second event may be determined as a congestion state, and the driving state of the vehicle in the tunnel may be determined as an accident occurrence state by recognizing the occurrence of the third event.

The collection and analysis module may determine the driving state of the vehicle in the tunnel as a normal driving state when the sensor signals are not received from the plurality of sensor controllers.

The collection and analysis module is configured to recognize the occurrence of the first event in the tunnel when the retention time of the sensor signal is less than a first reference threshold time, and when the first reference threshold time or more and less than a second reference threshold time It is possible to recognize the occurrence of the second event in the tunnel, and recognize the occurrence of the third event in the tunnel when the second reference threshold time is longer than the second reference threshold time.

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 the tunnel to the general control server, and the synthesis The control server may transmit the alarm information to a user terminal selected from among the plurality of user terminals based on the strength information of the received beacon signal.

The collection and analysis module may transmit a control command for controlling at least one of a detection cycle, restart, and sensor signal reception cycle of the plurality of motion sensors to the plurality of sensor controllers according to the control of the comprehensive control server.

An apparatus for situation recognition in a tunnel based on a radar sensor according to another embodiment includes a plurality of motion sensors arranged at a predetermined interval in a tunnel and grouped in a predetermined number, and a plurality of grouped motion sensors to control the grouped plurality of motion sensors. a plurality of sensor controllers that receive sensor signals from motion sensors of It may include a collection and analysis module for recognizing the occurrence of an event based on at least one of.

A method for situation recognition in a tunnel based on a 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; generating the sensor signals; Recognizing the occurrence of an event based on at least one of the number of motion sensors and a holding time of the sensor signal, and transmitting recognition information on the occurrence of the event to an external server.

A computer-readable recording medium according to another embodiment may record a program for executing the method in a computer.

According to various embodiments of the present disclosure, as the situation of vehicles in the tunnel is sensed through a plurality of motion sensors, the situation in the tunnel and the presence or absence of an accident may be shared with other drivers.

1 is a schematic diagram of a system 100 for situation recognition in a tunnel based on a radar sensor according to an embodiment.
FIG. 2 is a block diagram of an apparatus for recognizing a situation in a tunnel based on the radar sensor shown in FIG. 1 .
3 is a flowchart illustrating an event occurrence recognition of a system for context recognition in a tunnel according to an embodiment.
4A is a diagram illustrating an arrangement example of a motion sensor and a sensor controller of a system for situation recognition in a tunnel based on a radar sensor according to an embodiment.
4B illustrates a signal generation state of the motion sensor when the situation in the tunnel is the first state.
4C shows a signal generation state of the motion sensor when the situation in the tunnel is the second state.
4D shows the signal generation state of the motion sensor when the situation in the tunnel is the third state.
5 is a schematic block diagram of a sensor controller according to an embodiment.
6 shows a signal flow diagram of a system according to an embodiment.

The terms used in the present disclosure have been described as general terms currently used in consideration of the functions mentioned in the present disclosure, but may mean various other terms depending on the intention or precedent of a person 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 the names of the terms, but should be interpreted based on the meaning of the terms and the contents of 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 implies the singular. In addition, throughout the specification, when a part is "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. Moreover, unless there is a description explicitly designating the order of steps describing a method according to the present disclosure, the described steps may be performed in an appropriate order. The present disclosure is not limited according to the description order 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. In addition, 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 configurations.

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 human expression. 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 situation recognition in a tunnel based on a radar sensor according to an embodiment.

Referring to FIG. 1 , the system 100 may include a plurality of motion sensors 111 and 112 , a plurality of sensor controllers 110 , a collection and analysis module 120 , and a comprehensive control server 130 .

In an embodiment, the plurality of motion sensors 111 and 112 may be arranged at regular intervals in the tunnel. For example, the plurality of motion sensors 111 and 112 may be arranged at intervals of 5 m along the inner surface of the tunnel. However, the arrangement interval of the plurality of motion sensors is not limited thereto, and 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 an embodiment, the plurality of motion sensors 111 and 112 may be grouped into a predetermined number. For example, the plurality of motion sensors 111 and 112 may be grouped by five on each side of the sensor controller 110 as a center. However, the number of grouped motion sensors is not limited thereto, and the number of grouped motion sensors may be variously changed according to specifications and signal transmission requirements of the sensor controller 110 . Here, the motion sensor may be a radar-based motion sensor. Accordingly, the motion sensor can recognize a vehicle passing through the tunnel by transmitting a radio signal and receiving a reflected signal. For example, as a motion sensor transmits a radio signal and receives a signal that is reflected back from the vehicle, the presence of a vehicle passing through the tunnel, the size of the vehicle (e.g. small vehicle, large vehicle), and the motion sensor and vehicle distance between them can be obtained.

The plurality of sensor controllers 110 may control a predetermined number of grouped motion sensors and receive sensor signals from the grouped motion sensors. Also, the plurality of sensor controllers 110 may transmit sensor signals received from the grouped motion sensors to the collection and analysis module 120 .

The sensor controller 110 may be disposed in an appropriate number to stably receive and control sensor signals from a plurality of motion sensors 111 and 112 disposed in the tunnel. In this case, the appropriate number of sensor controllers 110 may mean a number designed to be appropriately arranged in consideration of the length of the tunnel, lanes, traffic, and the like. A detailed configuration of the sensor controller 110 will be described later with reference to FIG. 5 .

In an embodiment, the collection and analysis module 120 may receive and analyze sensor signals from the plurality of sensor controllers 110 , and recognize occurrence of an event in the tunnel based on the analyzed result.

For example, the collection and analysis module 120 may acquire data on the number of motion sensors that have generated the sensor signal and data on the retention time of the sensor signal through the received sensor signal. The collection and analysis module 120 may recognize the occurrence of an event in the tunnel based on at least one of data on the number of motion sensors that have generated the sensor signal and data on a retention time of the sensor signal. A method for the collection and analysis module 120 to recognize the occurrence of an event in the tunnel will be described later with reference to FIGS. 4A to 4D .

In another embodiment, the collection and analysis module 120 is the arrangement information of the plurality of sensor controller 110, the arrangement information of each of the plurality of motion sensors 111 and 112 and the sensor signal detected from each motion sensor It is also possible to recognize the occurrence of an event in the tunnel based on the size.

For example, the collection and analysis module 120 may recognize the occurrence of an event in the tunnel by comparing the sensor signals received from the sensor controller 110 with a pre-learned accident type. To this end, the collection and analysis module 120 learns an accident type, for example, a normal driving state, a slow state, a congestion state, an accident occurrence state, a fire, a reverse driving, etc., based on many sensor signals collected in the tunnel, Corresponding data may be stored in a memory (not shown). 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 receives a plurality of control commands for controlling at least one of a detection period, restart, and reception period of a sensor signal of the plurality of motion sensors 111 and 112 according to the control of the general control server 130 . can be transmitted to the sensor controller 110 of

Although the collection and analysis module 120 is illustrated as a separate collection and analysis server 120 in FIG. 1 , the present invention is not limited thereto. In another embodiment, the collection and analysis module 120 may be provided in the comprehensive control server 130 .

The comprehensive control server 130 may generate alarm information about the situation in the tunnel based on the recognition information provided from the collection and analysis module 120 , and transmit the generated alarm information to a plurality of user terminals. Here, the user terminal may refer to a terminal possessed by a vehicle running in a tunnel and/or a vehicle driver scheduled to pass through the tunnel. For example, the user terminal may include a mobile phone, a smart phone, a wearable device (eg, a smart watch), a laptop computer, a tablet PC, and the like, but is not limited thereto. In addition to the device carried by the user, 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.

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 spread the accident situation to other vehicle drivers far away through the traffic broadcasting server. In one embodiment, the traffic broadcasting server (not shown) confirms the exact location of the accident in the tunnel, and displays an accident risk warning on the LED signboard provided at the tunnel entrance, or through an application or radio broadcast to the rear vehicle trying to enter the tunnel. can spread In addition, the traffic broadcasting server (not shown) may guide a detour to a vehicle that has not entered the tunnel, and guide an evacuation route to a vehicle 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, the comprehensive control server 130 reports the collection and analysis module 120 and the sensor controller 110 according to the reporting cycle change, motion sensor restart, sensor signal reception cycle, changed reporting cycle or the current event status. can be controlled

In an embodiment, a system for situation recognition in a tunnel based on a radar sensor 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, and recognize Based on the information, it is possible to provide an interface for immediate situation propagation regarding the accident situation in the tunnel.

FIG. 2 is a block diagram of an apparatus for recognizing a situation in a tunnel based on the radar sensor shown in FIG. 1 .

Referring to FIG. 2 , motion sensor 1 111-1 to motion sensor N 111 -N may transmit sensor signals sensed under the control of the sensor controller 110 to one sensor controller 110 . The sensor controller 110 may transmit the collected sensor signals to the collection and analysis server 120 . At this time, it should be understood that the collection and analysis server or the collection and analysis module performs the same function.

In one embodiment, six motion sensors are connectable to one sensor controller, but not limited to the number. 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, by arranging the laser module or antenna vertically or horizontally, the range of the sensing area (wide beam) may be adjusted. For example, the sensing area of the motion sensor may be adjusted in a radial shape of about 6m*6m, or about 2m*6m.

3 is a flowchart illustrating an event occurrence recognition of a system for context recognition in a tunnel according to an embodiment. In the description of FIG. 3 , contents corresponding to, identical to, or similar to those described above may be omitted.

Referring to FIG. 3 , the system (eg, the system 100 of FIG. 1 ) may receive a sensor signal through the collection and analysis module (eg, the collection and analysis module 120 of FIG. 1 ) in operation 301 . . For example, the collection and analysis module 120 may receive sensor signals from a plurality of sensor controllers (eg, the sensor controller 110 of FIG. 1 ). The sensor signal may refer to a signal received by the plurality of sensor controllers 110 from a plurality of motion sensors (eg, the motion sensors 111 and 112 of FIG. 1 ) grouped in a predetermined number.

In an embodiment, the plurality of motion sensors 111 and 112 may generate sensor signals based on different criteria according to the type (size) of the vehicle.

For example, when the vehicle normally travels at a speed of 60 km/h or more, the plurality of motion sensors 111 and 112 cannot generate any sensor signal regardless of the type (size) of the vehicle, so that no detection state can be maintained. In addition, when the vehicle travels at a speed of less than 40 km/h or is in a stopped state, the plurality of motion sensors 111 and 112 generate a sensor signal regardless of the type (size) of the vehicle and maintain the detection state. can

However, for another example, when the vehicle travels at a speed of 40 km/h or more and less than 60 km/h, and the vehicle is a large vehicle, one sensor among the plurality of motion sensors 111 and 112 is applied. A sensor signal may be generated by the In addition, when the vehicle passes, one sensor generating a sensor signal may change the state of the sensor from the sensed state to the non-sensed state. As another example, when the vehicle travels at a speed of 40 km/h or more and less than 60 km/h, and the vehicle is a small vehicle, the plurality of motion sensors 111 and 112 generate any sensor signal. Since it cannot be done, the undetected state can be maintained.

According to an embodiment, the system 100 recognizes the occurrence of an event based on at least one of the number of motion sensors that have generated sensor signals and the retention time of the sensor signals through the collection and analysis module 120 in operation 303 . can do.

In an embodiment, the collection and analysis module 120 may analyze the sensor signals received from the plurality of sensor controllers 110 to determine the number of motion sensors that have generated the sensor signals. For example, when the sensor signal is a signal including data on the number of motion sensors that have generated the sensor signal, the collection and analysis module 120 may determine the number of motion sensors that have generated the sensor signal have.

In an embodiment, the collection and analysis module 120 may analyze the sensor signals received from the plurality of sensor controllers 110 to determine a retention time of the sensor signals. For example, when the collection and analysis module 120 receives the sensor signals from the plurality of sensor controllers 110 , the collection and analysis module 120 determines when the sensor signals change from the sensed state to the undetected state. can be checked Through this, the collection and analysis module 120 may determine the holding time of the sensor signal.

In an embodiment, the collection and analysis module 120 recognizes that a first event (eg, a slow state) occurs in the tunnel when the number of motion sensors that have generated sensor signals is less than the first reference threshold number. can The collection and analysis module 120 determines that a second event (eg, congestion) occurs in the tunnel when the number of motion sensors that have generated sensor signals is greater than or equal to the first reference threshold number and less than the second reference threshold number can be recognized In addition, the collection and analysis module 120 may recognize that a third event (eg, accident occurrence state) occurs in the tunnel when the number of motion sensors that have generated sensor signals is equal to or greater than the second reference threshold number. .

In an embodiment, when not receiving sensor signals from the plurality of sensor controllers 110 , the collection and analysis module 120 may recognize that no event has occurred in the tunnel. That is, the collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as a normal driving state.

In an embodiment, the collection and analysis module 120 may recognize that a first event (eg, a slow state) occurs in the tunnel when the retention time of the sensor signal is less than the first reference threshold time. The collection and analysis module 120 may recognize that a second event (eg, congestion) occurs in the tunnel when the retention time of the sensor signal is greater than or equal to the first reference threshold time and less than the second reference threshold time. . In addition, the collection and analysis module 120 may recognize that a third event (eg, an accident occurrence state) occurs in the tunnel when the retention time of the sensor signal is equal to or greater than the second reference threshold time.

In an embodiment, the reference threshold number and reference threshold time, which are the criteria for recognizing the occurrence of the first event or the second event in the tunnel, may be set differently depending on the type (or size) of the vehicle.

According to an embodiment, the system 100 may transmit recognition information on the occurrence of an event to an external server (eg, the integrated control server 130 of FIG. 1 ) through the collection and analysis module 120 in operation 305 . For example, if it is confirmed that the sensor signals received from the plurality of sensor controllers 110 are generated by five motion sensors that are greater than or equal to a reference threshold number (eg, three), the collection and analysis module 120 may generate an accident in the tunnel Recognition information about the occurrence may be transmitted to the comprehensive control server 130 .

4A is a diagram illustrating an arrangement of a motion sensor and a sensor controller of the system 100 for situation recognition in a tunnel based on a radar sensor according to an embodiment.

Referring to FIG. 4A , six motion sensors 111-1 to 111-6 are disposed in the tunnel, and the sensor controller 110 for controlling each of the motion sensors 111-1 to 111-6 in the middle. ) can be placed.

In an embodiment, the motion sensors 111-1 to 111-6 may detect a vehicle in the tunnel through a radio wave signal. For example, the motion sensor 111-1 may transmit a radio signal to the outside (eg, a vehicle in a tunnel) and receive a radio signal reflected from the outside. At the point where the motion sensor 111-1 is disposed, when any vehicle in the tunnel is moving slowly, the motion sensor 111-1 that has transmitted the radio signal to the outside transmits a radio signal (eg, a sensor signal) reflected from the vehicle. ) can be received. The motion sensor 111-1 may detect a driving state of the vehicle in the tunnel based on a radio signal reflected from the vehicle.

4B illustrates a signal generation state of the motion sensor when the situation in the tunnel is the first state.

Referring to FIG. 4B , when the vehicle 400 entering the tunnel is in a normal driving state, the plurality of motion sensors 111-1 to 111-6 may receive a sensor signal reflected from the vehicle 400 . none. For example, when the vehicle 400 entering the tunnel is traveling at a speed of 60 km/h or more, the plurality of motion sensors 111-1 to 111-6 receive a sensor signal reflected from the vehicle 400 . Can not.

At this time, since the sensor controller 110 cannot receive any sensor signals from the plurality of motion sensors 111-1 to 111-6, a collection and analysis module (eg, the collection and analysis module 120 of FIG. 1 ) ) does not transmit any signal. If no signal is received, the collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as a normal driving state.

In an embodiment, when the vehicle 400 entering the tunnel is a small vehicle (eg, a light vehicle) and the vehicle 400 is in a normal driving state, the plurality of motion sensors 111-1 to 111-6 A sensor signal reflected from the vehicle 400 cannot be received.

For example, when the vehicle 400 is a small vehicle, the plurality of motion sensors 111-1 to 111-6 are reflected from the vehicle 400 when the vehicle 400 travels at a speed of 40 km/h or more. sensor signal cannot be received.

In another embodiment, when the vehicle 400 entering the tunnel is a large vehicle and the vehicle 400 is in a normal driving state, some of the motion sensors 111-1 to 111-6 are A sensor signal reflected from the vehicle 400 may be received.

For example, when the vehicle 400 is a large vehicle, the plurality of motion sensors 111-1 to 111-6 are reflected from the vehicle 400 when the vehicle 400 travels at a speed of 60 km/h or more. sensor signal cannot be received. However, when the vehicle 400 travels at a speed of 40 km/h or more and less than 60 km/h, some of the motion sensors 111-1 to 111-6 (eg, three motion sensors) ) may receive a sensor signal reflected from the vehicle 400 . At this time, when the sensor signal is transmitted to the collection and analysis module 120 through the sensor controller 110, the collection and analysis module 120 determines the driving state of the vehicle in the tunnel based on the maintenance time of the received sensor signal. can decide For example, even if a received sensor signal is generated from a motion sensor greater than or equal to a reference threshold number, when the retention time of the sensor signal is substantially short (eg, when the sensor signal changes to an undetected state within “3 seconds”), The collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as a normal driving state.

4C shows a signal generation state of the motion sensor when the situation in the tunnel is the second state.

Referring to FIG. 4C , when the vehicles 400-1 and 400-2 are in a slow-moving state in the tunnel, some of the motion sensors 111-1 to 111-6 are the vehicles ( 400-1, 400-2) reflected sensor signals may be received. For example, when the vehicles 400 - 1 and 400 - 2 are traveling at a speed of less than 40 km/h in the tunnel, some of the motion sensors of the plurality of motion sensors 111 - 1 to 111 - 6 The ones 111 - 2 and 111 - 5 may receive signals reflected from the vehicles 400 - 1 and 400 - 2 .

At this time, the sensor controller 110 may transmit the sensor signals received from some of the motion sensors 111-2 and 111-5 to the collection and analysis module (eg, the collection and analysis module 120 of FIG. 1 ). have.

In an embodiment, the collection and analysis module 120 may recognize the occurrence of an event based on at least one of the number of motion sensors that have generated the sensor signal and a retention time of the sensor signal. For example, the number of motion sensors 111-2 and 111-5 that have generated the sensor signal is one less than the first reference threshold number (eg, two), and the sensor signal is the first reference threshold time ( If it remains in the range of about 1 to 4 seconds shorter than e.g. 5 seconds (ie, the sensor signal changes to undetected state after about 1 to 4 seconds), the acquisition and analysis module 120 will 1 The occurrence of an event can be recognized. That is, the collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as a slow state.

4D shows the signal generation state of the motion sensor when the situation in the tunnel is the third state.

Referring to FIG. 4D , when the vehicles 400 - 1 , 400 - 2 , 400 - 3 , and 400 - 4 are in a state of congestion or an accident in the tunnel, a plurality of motion sensors 111 - 1 to 111 - 6 may receive sensor signals reflected from the vehicles 400 - 1 , 400 - 2 , 400 - 3 and 400 - 4 . For example, when the vehicles 400 - 1 , 400 - 2 , 400 - 3 , and 400 - 4 are stopped in the tunnel or are traveling at a speed of less than 20 km/h, the plurality of motion sensors 111 - 1 to 111 - 6 may receive signals reflected from the vehicles 400 - 1 , 400 - 2 , 400 - 3 and 400 - 4 .

At this time, the sensor controller 110 may transmit the sensor signals received from the plurality of motion sensors 111-1 to 111-6 to the collection and analysis module (eg, the collection and analysis module 120 of FIG. 1 ). have.

In an embodiment, the collection and analysis module 120 may recognize the occurrence of an event based on at least one of the number of motion sensors that have generated the sensor signal and a retention time of the sensor signal.

For example, the number of motion sensors 111-1 to 111-6 that have generated the sensor signal is greater than the first reference threshold number (eg, 2) and less than the second reference threshold number (eg, 5). , when the sensor signal is maintained for a time longer than the first reference threshold time (eg, 5 seconds) and shorter than the second reference threshold time (eg, 10 seconds), the collection and analysis module 120 is configured to The occurrence of an event can be recognized. That is, the collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as a congestion state.

In another example, the number of motion sensors 111-1 to 111-6 that have generated the sensor signal is greater than the second reference threshold number (eg, 5), and the sensor signal : 10 seconds), the collection and analysis module 120 may recognize the occurrence of the third event in the tunnel. That is, the collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as the accident occurrence state.

FIG. 4D illustrates a characteristic in which, when a plurality of motion sensors detect vehicles, it is determined that the vehicles in the tunnel are in any one of a congestion state or an accident occurrence state, but this is for convenience of description and is not limited thereto. In another embodiment, when vehicles in the tunnel are in an accident state, only one motion sensor among the plurality of motion sensors may receive a sensor signal reflected from the vehicles. In this case, the sensor controller 110 may transmit a sensor signal received from one motion sensor to the collection and analysis module 120 . The collection and analysis module 120 determines that the sensor signal is longer than the second reference threshold time (eg, 10 seconds) even if the number of motion sensors generating the sensor signal is one less than the first reference threshold number (eg, 10 seconds). : 30 seconds), the collection and analysis module 120 may determine the driving state of the vehicle in the tunnel as the accident occurrence state.

5 is a schematic block diagram of the sensor controller 110 according to an embodiment.

Referring to FIG. 5 , the sensor controller 110 may include a control unit 500 , a power supply unit 510 , a wireless communication unit 520 , a short-range communication unit 530 , a sensor signal receiving unit 540 , and a display unit 550 . .

The controller 500 may control the overall operation of the sensor controller 110 . The controller 500 may control each component.

The power supply unit 510 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. Through intermittent control and rectification and smoothing circuit, stable various DC voltages can be obtained. The power supply unit 510 may be a switching mode power supply (hereinafter referred to as SMPS), and may supply DC 12V. DC 12V may be used as a power source for a plurality of motion sensors connected to the sensor controller 110 . The power supply unit 510 may supply power to the control unit 500 , the wireless communication unit 520 , and the short-distance communication unit 530 by converting it into DC 3.3V through a power management IC.

The wireless communication unit 520 may transmit sensor signals to the collection and analysis module 120 and receive a control command from the collection and analysis module 120 . The wireless communication unit 520 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 in the sea. LTE-M is the basis for providing navigation. In addition, it is responsible for the function of the maritime disaster network to avoid wasting golden time in case of a maritime accident. Here, although LTE-M is mentioned as an example of the wireless communication unit 520 , it is of course not limited thereto.

The short-range communication unit 530 may be a Bluetooth module, and may transmit/receive a Bluetooth beacon signal. A beacon refers to a wireless communication module that can automatically recognize a smart device in a short distance and transmit necessary data. The beacon is operable at a distance of up to 50 m, and transmits a beacon signal to the driver's smartphone 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 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 540 may receive sensor signals from a plurality of motion sensors connected to the sensor controller 110 . In an embodiment, the controller 500 may estimate the traveling speed of the vehicle in the tunnel based on the sensor signals received through the sensor signal receiver 540 . For example, the controller 500 receives a sensor signal from a plurality of motion sensors (eg, a plurality of motion sensors 111 and 112 of FIG. 1 ) disposed at regular intervals in the tunnel through the sensor signal receiver 540 . It is possible to estimate the driving speed of the vehicle by receiving it and calculating an average value for the sensor detection time. In addition, the controller 500 may change and apply the estimation calculation criteria, such as the detected speed shift of the vehicle, and exception handling when a plurality of vehicles pass.

The display unit 550 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.

6 shows a signal flow diagram of the system 100 according to an embodiment.

Referring to FIG. 6 , the sensor controller 1 110 - 1 to the sensor controller N 110-N transmit the sensed sensor signals to the collection and analysis server 120 , and the collection and analysis server 120 transmits the sensor signal It is possible to recognize the occurrence of an event in the tunnel based on the data and transmit it to the comprehensive control server 130 .

The comprehensive control server 130 may control the sensor controller 1 110 - 1 to the sensor controller N 110 -N through the collection and analysis server 120 .

In an embodiment, when dividing into normal and emergency, the normal case is a case in which the measured data is within a normal range, and the emergency case is a case in which 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 of the general control server 130 is transmitted after the periodic status report, the report may be reported after the command is executed. In this case, the report information may include a change of a report period, restart of the motion sensor, and the like.

In case of an emergency, data for a specific event, for example, congestion detection and vehicle stop detection, may be transmitted. The collection and analysis server 120 may analyze the sequence and type of event report and predict the type of accident. Such prediction or event recognition information may be transmitted to the general control server 130 .

Event and periodic reporting may include reporting according to a changed reporting cycle or when the current event status changes.

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 a software module or algorithm 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 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, but is not limited thereto. . Additionally, 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 the present disclosure are merely exemplary, and do not limit the scope of the present 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.

A person 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.

As the present disclosure can apply various transformations and can have various embodiments, 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 should 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”, “…module”, etc. 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. can

"...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", "...module" refer to components such as software components, object-oriented software components, class components, and task components, processes, and functions. may be implemented by fields, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables have.

Claims (10)

As a system for situation recognition in a tunnel based on a 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 grouped plurality of motion sensors and receiving sensor signals from the grouped plurality of motion sensors;
Receives the sensor signals from the plurality of sensor controllers through remote wireless communication, and recognizes the occurrence of an event in the tunnel based on at least one of the number of motion sensors that have generated the sensor signals and a retention time of the sensor signals acquisition and analysis module; and
A system comprising: a comprehensive control server that generates alarm information about the 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. According to claim 1,
The collection and analysis module,
When the number of the motion sensors that have generated the sensor signal is less than a first reference threshold number, the occurrence of the first event in the tunnel is recognized, and when the first reference threshold number or more and less than a second reference threshold number, the recognizing the occurrence of a second event in the tunnel, and recognizing the occurrence of a third event in the tunnel when the second reference threshold number is greater than or equal to the second reference threshold number. 3. The method of claim 2,
The collection and analysis module,
By recognizing the occurrence of the first event, it is determined that the driving state of the vehicle in the tunnel is a slow state,
By recognizing the occurrence of the second event, it is determined that the driving state of the vehicle in the tunnel is in a congested state,
In accordance with the recognition of the occurrence of the third event, the system determines the driving state of the vehicle in the tunnel as an accident occurrence state. According to claim 1,
The collection and analysis module,
When the sensor signals are not received from the plurality of sensor controllers, the system determines that the driving state of the vehicle in the tunnel is a normal driving state. According to claim 1,
The collection and analysis module,
Recognizes the occurrence of the first event in the tunnel when the holding time of the sensor signal is less than a first reference threshold time, and a second event in the tunnel when the duration of the sensor signal is longer than the first reference threshold time and less than a second reference threshold time and recognize for the occurrence of a third event in the tunnel when the second reference threshold time is greater than or equal to the second reference threshold time. According to 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,
Transmitting the alarm information to a user terminal selected from among the plurality of user terminals based on the strength information of the received beacon signal. According to claim 1,
The collection and analysis module,
A system for transmitting a control command for controlling at least one of a detection cycle, restart, and sensor signal reception cycle of the plurality of motion sensors to the plurality of sensor controllers according to the control of the comprehensive control server. As a device for situation recognition in a tunnel based on a 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 grouped plurality of motion sensors and receiving sensor signals from the grouped plurality of motion sensors; and
A collection for receiving the sensor signals from the plurality of sensor controllers through remote wireless communication, and recognizing the occurrence of an event based on at least one of the number of motion sensors that have generated the sensor signals and a holding time of the sensor signals; A device comprising an analysis module. As a method for situation recognition in a tunnel based on a radar sensor,
Receiving sensor signals from a plurality of motion sensors arranged at predetermined intervals in the tunnel and grouped in a predetermined number;
recognizing the occurrence of an event based on at least one of the number of motion sensors that have generated the sensor signal and a holding time of the sensor signal; and
and transmitting recognition information on the occurrence of the event to an external server. A computer-readable recording medium recording a program for executing the method according to claim 9 in a computer.

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