KR102356340B1 - Integration control system for grave roadway of entry prevention - Google Patents

Abstract

The present invention relates to an integrated control system for blocking entry of an underpass. The present invention includes: a flood detection device which is installed in an underpass to measure and detect a groundwater level in the underpass, if it is determined that the underpass is flooded, transmits it to a control center; a drain pump operation monitoring device formed in the underpass and pumping water from the submerged underpass to the outside; an integrated control hub (HUB) for controlling the flood detection device and an evacuation guide device and monitoring an operation state of the drain pump; a control center which receives water level data from the flood detection device and checks whether the underpass is flooded.

Description

Integrated control system for grave roadway of entry prevention

The present invention relates to an integrated control system for blocking the entry of an underpass. In more detail, it relates to an integrated control system for blocking the entry of the underpass during heavy rain or torrential rain to control from the outside to prevent vehicles from entering the underpass when the underpass is filled with or overflowing due to heavy rain, etc.

If we look at the climate of Korea, in particular, heavy rains occur frequently in summer, and at this time, a lot of concentrated rainfall is accompanied by a lot of flood damage. In particular, when a sudden heavy rain falls, in a space located lower than the ground, a large amount of rainwater and sewage that cannot be accommodated by public drainage facilities flows into the room, resulting in greater damage due to flooding.

Even in the summer of 2020, the underpass was flooded due to the sudden increase in rainwater due to torrential rain in Busan Metropolitan City. Despite this, the vehicle entered the underpass and entered the underpass, unaware that it was flooded with rainwater, and the vehicle entered the underpass was submerged. An unfortunate incident occurred in which he drowned due to rainwater.

Due to recent global warming, it is expected that localized heavy rain and localized heavy rain will occur frequently in summer. Therefore, if there is a sign of flooding in the underpass due to heavy rain, it is necessary to automatically block pedestrians and vehicles from entering in advance. Therefore, there was an urgent need to develop technology to prevent precious human casualties.

In addition, the development of an integrated control system such as a flood detection device and a control device that can clearly execute the control performed at a remote work site such as a control center to block such an underpass has also been highlighted as important.

Korean Patent Publication No. 2005-0115581 Korean Patent Publication No. 2014-0044056 Korean Patent Publication No. 2019-0021579

Therefore, the present invention provides a flood detection device for blocking the underpass, which can block the entry of vehicles into the underpass in advance by detecting the flooding of the underpass through the integrated control hub and quickly operating the underpass entrance blocking facility; An object of the present invention is to provide an integrated control system for blocking the entry of an underpass consisting of an integrated control hub.

Another object of the present invention is to provide an integrated control system for blocking the entry of the underpass so that when the underpass is flooded, the drainage operation is automatically and immediately performed to achieve a clean underpass.

In order to solve this problem, the present invention relates to an integrated control system for blocking the entry of an underpass, and the present invention is a flood detection device installed in the underpass to measure and sense the groundwater level in the underpass, and transmit it to the control center It enables mutual communication with a computer or network system and receives water level data from an integrated control hub (HUB) that controls the flood detection device and monitors the operation status of the drain pump and the flood detection device to flood the underpass. It characterized in that it comprises a control center to check whether or not and a drain pump that is formed in the underpass and pumps water from the underpass to the outside when flooding is confirmed at the control center.

In addition, the flood detection device is characterized in that the water level sensor for measuring the water level of the underpass and the pressure sensor for preventing a malfunction is formed.

In addition, it is characterized in that a motion detection device capable of monitoring whether the drain pump is in operation is formed.

In addition, the flood detection device is characterized in that it transmits sensing information to the integrated control hub in a modus (MODBUS) method.

Therefore, the present invention detects rainwater in the underpass due to torrential rain, etc. and operates a blocking facility by detecting it with a flood detection device, etc. It is controlled remotely, and the drain pump is operated to drain the cold rainwater inside, so that it can continue the normal vehicle traffic by performing drainage work.

1 is an overall configuration diagram of an integrated control system for blocking the entry of an underpass according to the present invention.
Figure 2 is an internal structural diagram of the submerged underpass.
3 is a block diagram of an integrated control system for blocking the entry of an underpass according to the present invention.
4 is a block diagram related to the operation state of the drain pump.
5A and 5B are pictures of a monitor and a screen inside the control center.
6 is a flowchart of a method for preventing vehicle entry in an underpass;
7 is a block diagram of a monitoring device of an integrated control system according to the present invention.
Fig. 8 is a flowchart of the monitoring method according to Fig. 7;
9 is a view showing a detailed configuration of a traffic situation recognition device.
10 is a flowchart illustrating a method for recognizing road traffic conditions of an artificial intelligence-based underpass.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First, in adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are marked on different drawings.

In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

In addition, since the terms used in the present application are only used to describe specific embodiments, it is not intended to limit the present invention, and the singular expression means a plural expression unless the context clearly indicates otherwise. we want to leave

The overall configuration of the present invention is installed in the underpass to measure and detect the underground water level in the underpass, and when it is determined that it is flooded, a flood detection device that transmits data to the control center and a computer or network system to communicate with each other, An integrated control hub (HUB) that controls the flood detection device and monitors the operation status of the drain pump, a control center that receives water level data from the flood detection device to check whether the underpass is flooded, and is formed in the underpass. When the control center confirms flooding, it consists of a drain pump that pumps water from the underpass to the outside.

1 is an overall configuration diagram of an integrated control system for blocking entry of an underpass according to the present invention, FIG. 2 is an internal structural diagram of a submerged underpass, and FIG. 3 is an integrated control system for blocking entry of an underpass It is a main configuration diagram, FIG. 4 is a configuration diagram related to the operating state of the drain pump, FIGS. 5A and 5B are pictures of the monitor and screen inside the control center, and FIG. 6 is a flowchart of a method of preventing entry of vehicles in the underpass. 7 is a configuration diagram of a monitoring device of an integrated control system according to the present invention, FIG. 8 is a flowchart of the monitoring method according to FIG. 7, FIG. 9 is a diagram showing a detailed configuration of a traffic situation recognition device, FIG. is a flowchart showing a method for recognizing road traffic conditions of an artificial intelligence-based underpass.

Referring to FIG. 1, it is an overall configuration diagram of an integrated control system for blocking the entry of an underpass 10 according to the present invention. (10) to prevent vehicles from entering the interior, it is installed in the underpass, measures and senses the water level in the underpass 10, and when it is determined that it is submerged, a flood detection device 20 and a computer that transmits it to the control center 90 Alternatively, to enable mutual communication with a network system (not shown), the flood detection device 20 and the integrated control hub 30 are also formed in the underpass 10 and submerged water in the underpass 10 . The drain pump 70 for pumping water to the outside, the motion detection device 75 that can monitor whether the drain pump 70 operates or not, and the flood detection device 20 receive data such as the water level from the underpass (10) is largely composed of a control center (90) to check whether the submerged.

Hereinafter, the underpass 10 will be described with reference to FIG. 2 .

As shown, when rainwater fills the inside of the underpass 10, a CCTV 40 is formed in order to check the internal conditions such as whether the water level is high or not. Accordingly, when the water in the underpass 10 rises above a certain water level, and the flood detection device 20 notifies the water level data to the control center 90, the person in charge of the control center 90 is the CCTV (40) is monitored to confirm the fact of flooding, and measures are taken to prevent further vehicles from entering by operating the barrier (not shown) of the entry blocking facility (not shown).

3 is a main configuration diagram of the water immersion detection device 20 and the integrated control hub 30, which are major components of the integrated control system according to the present invention, and is a cross-sectional view of the flood detection device 20. As shown in FIG.

Referring to the drawings, it is installed in the underpass 10 and the underpass 10, which is a road built under the ground so that cars, etc. A flood detection device 20 for transmitting data to the center 90 is formed. That is, the flood detection device 20 measures the flood level of the underpass 10 in real time and transmits the water level data to the control center 90 through the integrated control hub 30 .

In addition, the flood detection device 20 includes a water pressure sensor 25 for detecting water pressure such as rainwater falling on the underpass 10 and a water level sensor 26 for measuring the level of water filled with water in the underpass 10 . is made of

In other words, the flood detection device 20 is composed of a water pressure sensor 25 and a water level sensor 26 including a plurality of water level sensors. The water level is sensed through the duplication of the water pressure sensor 25 and the water level sensor 26 in order to prevent a malfunction due to this.

The water pressure sensor 25 is configured to measure and sense water pressure using the barometric pressure measurement principle of the barometer, and the water level sensor 26 calculates the water level therefrom.

Because, in the case where only the detection signal of the water level sensor 26 is generated without the detection signal of the water pressure sensor 25, there is a possibility of determining the degree of water splashing, temporary water flow, etc., so that only the water level sensor 26 Since the operation may cause a malfunction of the system, the water pressure sensor 25 as described above is required.

The water pressure sensor 25 measures the actual pressure when the water is filled, and the water level sensor 26 measures the height at which the water is filled. In this way, the values measured by the water pressure sensor 25 and the water level sensor 26 are converted into data and transmitted to the control center 90 . Since a detailed technique for converting the measured value into data is a known technique, a detailed description thereof will be omitted.

Furthermore, the flood detection device 20 transmits sensing information to the integrated control hub 30 in a MODBUS method. For reference, the MODUS method is a method defined to send and receive data implemented in different ways between different models. For example, when a system measuring pressure and water level communicates and uses the measurement results method.

Hereinafter, the integrated control hub (Hub) 30 will be described.

The integrated control hub (Hub) 30 enables mutual communication with a computer or network system of a public network, and has a feature of having several connection ports, so that data frames can be exchanged or connected to each other at the same time. . In addition, when there is a large amount of communication between servers in the communication network and the servers are connected to the same hub at the same time, there is a function to improve the performance of the communication network by using it instead of a normal repeater hub.

In addition, the integrated control hub (Hub) 30 is characterized in that the Internet signal input through a UTP cable (Unshieded Twisted Pair Cable) is distributed to a plurality of distribution ports (not shown) and provided. In addition, the integrated control hub (Hub) 30 also serves to control the flood detection device (20).

In addition, the control center 90 receives data from the flood detection device 20 and serves to check whether the underpass 10 is flooded. Hereinafter, the control center 90 will be described.

As described above, when it is determined that rainwater is rising above a certain water level through the water level sensor 26 and the water pressure sensor 25 of the flood detection device 20, the flood detection device 20 is integrated with the control hub 30 ) to transmit the related data to the control center 90 via the

Then, the worker of the control center 90 receives the data, monitors the CCTV 40 inside the underpass 10, and when it is determined that there is a sign of flooding, the control center 90 operates inside the underpass. Blocking the entry of vehicles into (10) to prevent further vehicles from entering the underpass (10). (not shown) is to block the vehicle from entering the underpass 10 to prevent any more vehicles from entering the underpass 10 .

Hereinafter, operation of the drain pump 70 for discharging water when the underpass 10 is filled with water through the flood detection device 20 will be described.

The water immersion detection device 20 and the water pressure sensor 26 are interlocked with the drain pump 70, and the water level sensor 26 of the flood detection device 20 is configured as a plurality of detection sensors. A high and high level sensor for detecting a high level, a high level sensor for detecting a high level of immersion, a low level sensor for detecting a low level of immersion, and a low level of immersion It is configured to include a low-low level sensor for detecting the level. A detailed illustration of the above will be omitted.

Here, when the water pressure sensor 25 responds to water pressure, and a detection signal is generated from the high level sensor of the water level sensor 26, and when a detection signal is generated from the high level sensor, integrated control It would be desirable to automatically transmit the water level data to the control center 90 through the hub 30 so that it can be checked. This is because, when the water level corresponds to the high level sensor, there is a sign of flooding.

And, when the underpass 10 is submerged and the water level gradually increases, the water level is transmitted from the integrated control hub 30 to the control center 90 in real time, and the water level is monitored at the control center 90, It is determined whether the entry barrier facility is operating or not.

In addition, when the water level increases explosively, the integrated control hub 30 directly operates the evacuation guide device without a separate command from the control center 90 to automatically operate the entry blocking facility to lower the barrier. This is because, if it rains intensively to the point where the water level suddenly rises, you may miss the golden time of blocking access.

Hereinafter, a description of the drain pump 70 and its operation relationship with reference to FIG. 4 will be attached with drawings.

The drain pump 70 is placed in a certain water tank to prevent flooding, etc., and due to flooding of the underpass 10 or aging of the water and sewer pipes due to a lot of rainwater such as heavy rain or concentrated torrential rain during the rainy season, etc. When the water is stored due to the reverse flow, it is formed in the underpass 10 to pump the submerged water to the outside for drainage. Again, referring to FIG. 4 , a motion detecting device 75 is formed so that the integrated control hub 30 can monitor whether the drain pump 70 is in operation. The integrated control hub 30 can immediately monitor whether the drain pump 70 is operating normally through the motion detection device 75, so that it can be checked whether a normal drain operation can be performed.

In addition, the current sensor module 71 measures the operating current of the drain pump 70 . The current sensor module 71 is attached to the drain pump 70 and controls the operation of the drain pump 70 . It serves to measure the operating current for

In addition, the current sensor module 71 may be configured to measure a rotational driving current caused by rotational driving of the drain pump 70 . A piezo element is provided on the rotary drive shaft of the rotary propeller (not shown) of the drain pump 70, and the piezo element may be configured to receive pressure by friction with the rotary surface of the rotary drive shaft. is configured to occur. The current sensor module 71 may measure the electricity generated by the piezo element to estimate the rotational speed of the rotational drive shaft, and through this, determine whether the drain pump 70 operates normally.

When electricity is measured by the rotational motion of the rotary drive shaft of the drain pump 70, electricity at the operating end of the drain pump 70 is measured, so that it is possible to more accurately determine whether the drain pump 70 is operating normally. will be.

Hereinafter, a method for detecting whether the drain pump 70 is normally operated using the motion detection device 75 will be described.

The current sensor module 71 intermittently measures the normal operating current of the drain pump 70 and converts the normal operating current measured through the control unit (not shown) of the drain pump 70 to the integrated control hub 30 or Real-time transmission + transmission to the control center (90).

If a situation in which the underpass 10 is flooded due to occurrence of heavy rain, etc. occurs, the control center 90 generates a command to operate the drain pump 70 and transmits it to the integrated control hub 30 . do.

Then, the integrated control hub 30 receives the command, and performs a drain operation by operation through the drain pump 70 . At this time, the current sensor module 71 formed inside the drain pump 70 and measuring the operating current for driving the drain pump 70 measures the operating current when the drain pump 70 operates, and then The integrated control hub 30 transmits the measured operating current during operation to the control center 90 in real time.

Next, the motion detection device 75 determines the failure or operation error of the drain pump 70 in preparation for the normal operating current and the operating current during operation, and sends it to the integrated control hub 30 and the control center 90 . will report The control unit of the drain pump 70 may be configured to determine whether a difference between the normal operating current and the operating current during operation is greater than or equal to a predetermined threshold in preparation for the normal operating current and the operating current during operation.

As a result of the determination of the control unit, if the difference does not exceed a predetermined threshold, it is determined as a failure or an operation error and transmitted to the motion detection device 75 . Then, the motion detecting device 75 determines that there is a failure and recognizes that the drain operation through the drain pump 90 is not being executed, and retransmits this fact to the integrated control hub 30 .

If the drain pump 70 is inoperable, once the blocking film of the underpass 10 is lowered, the use is temporarily stopped, and the drain pump 70 is repaired without delay to drain the water, and then the repair is performed. When finished, the underpass 10 is used again.

Additionally, when the flooding of the underpass 10 is confirmed in the control center 90, a disaster warning message is provided to the mobile terminal (not shown) of the local residents in which the underpass 10 is installed and the competent fire department. A server 91 (see Fig. 4) is formed. Therefore, it is important to ensure that nearby residents are aware of this and the competent fire department is immediately prepared to take appropriate action.

And, referring to FIGS. 5A and 5B, as the monitor M inside the control center 90, the real-time status of the underpass 10 and the monitoring through the CCTV 40 through a PC (reference numerals are omitted) will do The photo on the right of FIG. 5A is a GIS (Ground Information System) screen for recognizing the location of the integrated control system of the underpass according to the present invention.

More specifically, the integrated control hub 30 receives a signal from the flood detection device 20 through an internal relay (not shown) and transmits it to a PLC (not shown), and Display the status on the monitor (M). The monitor (M) displays an active window (underpass location display, current situation, etc.) for flooding action along with an alarm occurrence indication on the screen, and starts the operation of the system of the present invention.

Figure 5b is a device control screen of the monitor (M), it is possible to know the current state of the devices such as the operating state of the CCTV (40), the drain pump (70) inside the underpass (10).

Hereinafter, the step of preventing the vehicle from entering the underpass 10 when the underpass 10 is submerged using the integrated control system of the present invention will be described with reference to the drawings.

Referring to FIG. 6 , the control center 90 detects whether or not a flooding condition of the underpass 10 has occurred through the flood detection device 20 (step 1). The detection in the first step is to measure the water pressure through the water pressure sensor 25 of the flood detection device 20, and to fill the inside of the underpass 10 through the water level data through the water level sensor 26. The water level, which is the height of rainwater, is grasped and transmitted to the control center 90 through the integrated control hub 30 so that the person in charge of the control center 90 who has received it can check it.

Next, when the water level data is received from the control center 90 in the first step, the worker or the person in charge understands the situation inside the underpass 10 through the CCTV 40 (second step). Accordingly, it is determined how much rainwater is filled in the underpass 10 .

In the next step, the person in charge of the control center 90 operates the entry blocking facility (step 3). In the third step, the person in charge who determines that there is a risk of flooding executes this. Check the CCTV 40 and operate the entry blocking facility (not shown) located at the front or rear of the underpass 10 to further underpass ( 10) to prevent the vehicle from entering. And, at the same time as the underpass 10 is submerged, the drain pump 70 immediately starts to operate.

In the next step, the control center 90 monitors and confirms whether the drain pump 70 in charge of draining works properly through a control device (not shown) (Step 4).

This guides the flood evacuation broadcast in the underpass through the CCTV 40 , and checks whether the drain pump 70 actually works through the control center 90 .

In the above step, if the worker of the control center 90 determines that the drain pump 70 is operating normally, the drain pump 70 is operated to perform the drain operation.

If it is determined that the drain pump 70 is in a malfunctioning state, stop using the underpass 10 for a certain period of time, promptly repair the drain pump 70 and operate the drain pump 70 normally. to proceed with the drainage work.

In the next step, when the drain operation of the drain pump 70 is completed, it is checked whether there is rainwater in the underpass 10 (step 5). Confirmation of the presence or absence of rainwater in the underpass 10 is confirmed through the CCTV (40).

Finally, when it is confirmed that there is no rainwater in the fifth step, the control center 90 examines the underpass 10 through the CCTV 40 and adjacent CCTV (not shown) to check whether normal passage is possible. This is to restore the barriers of the entry barriers to their original state (Step 6).

Hereinafter, an apparatus for monitoring an integrated control system for blocking the entry of an underpass according to the present invention will be described with reference to the drawings. The monitoring device 100 is for checking the presence or absence of abnormalities in each component including the flood detection device 20 and the integrated control hub 30, which are core components of the integrated control system.

Referring to FIG. 7 , the monitoring device 100 includes a sensing unit 110 , a database unit 120 , an abnormality determination unit 130 , an alarm unit 140 , a monitoring sequence determining unit 150 , and a monitoring control unit 190 . is made including

The sensing unit 110 measures input and output currents, voltages and power values of each component of the integrated control system according to the control signal of the monitoring control unit 190 .

The database unit 120 stores the measurement results measured in the sensing unit 110 , and stores input and output reference values of each component. In addition, the database unit 120 stores data on basic information, installation information, abnormality occurrence history, repair history, and the like of each component. That is, the lifespan of the water pressure sensor 25, the water level sensor 26, and the integrated control hub 30 constituting the submersion detection device 20, product specification information, installation date, abnormality occurrence date, abnormal occurrence history, abnormal occurrence Data on the number of times, the date of repair of parts, the number of times of repair of parts, and the like are stored.

The abnormality determination unit 130 determines the presence or absence of abnormalities in each component of the integrated control system based on data stored in the database unit 120 . That is, by comparing the input and output reference values of each component stored in the database unit 120 with the measurement result measured by the sensing unit 110 , it is determined whether each component is abnormal. Then, the determination result is transmitted to the monitoring control unit 190 .

The alarm unit 140 transmits a monitoring result to a manager terminal (not shown) through a communication network when an abnormality occurs in a component of the integrated control system of the present invention according to a control signal of the monitoring control unit 190 .

The monitoring sequence determining unit 150 determines the abnormal occurrence probability of components of the integrated control system based on basic information, installation information, abnormal occurrence history, and repair history information of the integrated control system stored in the database unit 120 . By classifying them into a group with a high probability of occurrence and a group with a relatively low probability of occurrence, the monitoring cycle and sequence are set differently.

That is, a component belonging to a group having a relatively high probability of occurrence of an abnormality is frequently monitored by a relatively short monitoring period, so that when an abnormality occurs in a component, it can be detected more quickly.

8 is a flowchart of a control method of integrated control system monitoring according to the present invention.

Referring to the drawings, first, the monitoring sequence and cycle of the components of the integrated control system are determined (S10), that is, integrated control based on basic information, installation information, abnormality occurrence history, and repair history information stored in the database unit 120 (S10). The monitoring cycle and order are determined by classifying the system components into a group with a relatively high probability of occurrence of an abnormality and a group with a relatively low probability of occurrence of an abnormality. That is, it is determined to perform a relatively large number of monitoring counts of components belonging to a group having a relatively high probability of occurrence of an abnormality.

A process of measuring input and output terminal voltages, currents and powers of the components of the integrated control system of the present invention is performed using the sensing unit 110 of the monitoring device 100 according to the determined monitoring sequence and cycle (S20).

A process of storing the result measured in S20 in the database unit 220 is performed (S30).

A process of determining whether a component is abnormal is performed by comparing the reference value stored in the database unit 220 with the result measured through the sensing unit 210 (S40).

As a result of the determination, if no abnormality occurs in the component, the above process is repeated (S50), and when an abnormality occurs in the component, the monitoring result is transmitted to the manager's terminal through the communication network (S60).

Hereinafter, a description will be given of the traffic situation recognition device 200 capable of recognizing the traffic situation information of the underpass 10 and surrounding roads based on artificial intelligence.

As shown in FIG. 9 , the traffic situation recognition device 200 includes an object information acquisition unit 210 , an object relation analysis unit 220 , an object tracking analysis unit 230 , an object relation recognition unit 240 , The context information recognition unit 250 may be included.

Before the description, if the method of obtaining the image object information in the object information acquisition unit 210 is described, an image is acquired with an image camera such as a CCTV 40, and the obtained image data is pre-processed ), and through this pre-processing, noise removal, brightness control, color conversion, etc. can be performed. In this way, the preprocessed image data is divided into a plurality of sub image data to recognize objects by size, and the image object recognition unit (not shown) can recognize image object information from each of the sub image data.

In addition, if the method for obtaining sound object information from the object information acquisition unit 210 is described, sound data obtained through a microphone (not shown), etc., which is a device capable of acquiring sound, may be pre-processed. , through this pre-processing process, noise removal, sound level adjustment, etc. can be performed. In this way, the pre-processed sound data can be divided into the minimum time unit that can recognize a plurality of sub sound data, and the sound object recognition unit (not shown) can recognize sound object information from each of the divided sub sound data. can

The object information obtaining unit 210 may obtain and buffer the image object information and the sound object information respectively obtained in the above-described manner. The buffering refers to a phenomenon in which transmission and reception information between two or more media is temporarily stored and buffered to facilitate transmission and reception of information.

The object relationship analysis unit 220 may analyze the object relationship between the obtained image object information and the sound object information. That is, the object relationship analysis unit 220 may analyze the object relationship between the obtained image object information and analyze the object relationship between the sound object information.

The object tracking analysis unit 230 may analyze the motion tracking (tracking through any moving means) of the obtained image object information and sound object information. That is, the object tracking analysis unit 230 may analyze the motion tracking of the acquired image object information and analyze the motion tracking of the sound object information.

The object relation recognizing unit 240 may recognize the respective object relation of the image object information and the sound object information based on the object relation analysis result and the object tracking analysis result. That is, the object relation recognition unit 240 recognizes the object relation of the image object information based on the object relation analysis result and the object tracking analysis result, and analyzes the object relation through the object tracking analysis unit 230 . Based on the result and the object tracking analysis result, the object relationship of sound object information can be recognized.

The situation information recognition unit 250 may recognize the congestion level by recognizing the traffic situation information of the underpass 10 and its surroundings using the recognized object relationship.

In FIG. 10 , a description will be given of a method for recognizing road traffic situation information in the underpass 10 based on artificial intelligence. A description that overlaps in the configuration of the traffic situation recognition device 200 described above will be omitted to some extent.

For reference, the description of the deep learning algorithm used in the above method will be briefly described. A deep learning algorithm refers to a technology used to cluster or classify objects or data by allowing a computer to judge and learn like a human.

A method for recognizing road traffic conditions based on the artificial intelligence will be described. First, image data may be obtained through CCTV 40 and CCTV adjacent to the underpass (S410), and image object information may be recognized from the image data obtained in S410 through a deep learning algorithm (S420).

That is, the traffic situation recognition device 200 pre-processes the obtained image data (S421). In S421, noise removal, brightness control, color conversion, etc. may be performed in the process of pre-processing the obtained image data.

The image data preprocessed in S421 is divided into a plurality of sub image data to recognize objects by size (S422).

Image object information is recognized from each of the sub image data divided in S422 (S423).

In the same manner, the traffic situation recognition device 200 acquires sound data by forming a microphone (not shown) near or around the underpass 10 (S430). That is, the S430 buffers the acquired sound data with equipment such as a microphone capable of acquiring sound.

Sound object information may be recognized from the sound data obtained in S430 through a deep learning algorithm (S440).

That is, the traffic situation recognition device 200 pre-processes the acquired sound data (S441). Through the pre-processing process, noise removal and sound level adjustment can be performed.

The sound data preprocessed in S441 is divided into a plurality of sub sound data (S442). In S442, sound data is divided into units of the minimum recognizable time.

Sound object information is recognized from each of the sub sound data divided in S442 (S443).

Next, the traffic situation recognizing apparatus 200 analyzes each object relationship between the image object information and the sound object information obtained above ( S450 ).

Motion tracking of each of the image object information and the sound object information may be analyzed (S460).

Next, the traffic situation recognizing apparatus 200 may recognize the object relationship between the image object information and the sound object information based on the object relationship analysis result and the object tracking analysis result (S470).

Next, the traffic situation recognizing apparatus 200 may recognize the traffic situation information using the recognized object relationship (S480).

As described above, the relationship between objects is recognized through a deep learning algorithm based on the image data and sound data obtained by acquiring image data and sound data, and as a result of the recognition, the underpass 10 and road traffic around it situational information can be recognized.

Those skilled in the art to which the present invention pertains as described above will 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, it should be understood that the above-described embodiments are illustrative and not restrictive.

The scope of the present invention is indicated by the appended claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

10: underpass 20: flood detection device
25: water pressure sensor 26: water level sensor
30: integrated control hub 40: CCTV
70: drain pump 71; Current sensor module
75: motion detection device 90: control center
91: server M: monitor
100: monitoring device 110: sensing unit
120: database unit 130: abnormality determination unit
140: alarm unit 150: monitoring order determining unit
190: monitoring control unit 200: traffic situation recognition device

Claims (4)

a flood detection device installed in the underpass to measure and detect the underground water level in the underpass, and transmit data to the control center;
an integrated control hub that enables mutual communication with a computer or network system, controls the flood detection device, and monitors the operation status of the drain pump;
a control center that receives water level data from the flood detection device and checks whether the underpass is flooded;
In the integrated control system for blocking the entry of the underpass, it is formed in the underpass and comprises a drain pump for pumping water from the underpass to the outside when the control center confirms flooding,

The monitoring device 100 for checking the presence or absence of abnormality between the flood detection device and the integrated control hub includes a sensing unit 110, a database unit 120, an abnormality determination unit 130, an alarm unit 140, and a monitoring sequence. It includes a determination unit 150 and a monitoring control unit 190,
The monitoring sequence determining unit 150 determines the abnormal occurrence probability of components of the integrated control system based on basic information, installation information, abnormal occurrence history, and repair history information of the integrated control system stored in the database unit 120 . By classifying the group into a group with a high probability of occurrence and a group with a relatively low probability of occurrence, the monitoring cycle and sequence are set differently.
The traffic situation recognition device 200 includes an object information acquisition unit 210 , an object relation analysis unit 220 , an object tracking analysis unit 230 , an object relation recognition unit 240 , and a situation information recognition unit 250 . includes,
Recognizes the situation information of road traffic in the underpass based on artificial intelligence,
The method for recognizing the road traffic situation based on the artificial intelligence comprises: a step S410 of acquiring image data through the CCTV 40 and the CCTV adjacent to the underpass;
a step S420 of recognizing image object information through a deep learning algorithm from the image data obtained in step S410;
The traffic situation recognition device 200 pre-processing the acquired image data in step S421;
a step S422 of recognizing objects by size by dividing the image data preprocessed in step S421 into a plurality of sub image data;
a step S423 of recognizing image object information from each of the sub image data divided in the step S422;
The traffic situation recognition device 200 forms a microphone (not shown) near or around the underpass 10, a step S430 of acquiring sound data;
a step S440 of recognizing sound object information through a deep learning algorithm from the sound data obtained in step S430;
In the step S440, the traffic situation recognition device 200 pre-processes the acquired sound data in the step S441;
a step S442 of dividing the sound data preprocessed in step S441 into a plurality of sub sound data;
a step S443 of recognizing sound object information from each of the sub sound data divided in the step S442;
A step S450 of analyzing the relationship between the respective objects of the image object information and the sound object information obtained in the traffic situation recognition device 200;
In the step S450, a step S460 of analyzing the motion tracking of each of the image object information and the sound object information;
In step S470, the traffic situation recognizing apparatus 200 recognizes the object relationship between the image object information and the sound object information based on the object relationship analysis result and the object tracking analysis result;
In the step S470, the traffic situation recognition device 200 recognizes the traffic situation information using the recognized object relationship analysis result and the object tracking analysis result in the step S480. Integrated control system for blocking entry.
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