KR102475003B1 - SYSTEM FOR MANAGING SNOW REMOVAL USING IoT - Google Patents

Abstract

According to various embodiments of the present invention, the snow removal work management system includes a communication circuit, a plurality of snow removal information collection devices, a plurality of snow removal devices, and a snow removal work management device, wherein the snow removal work management device comprises the Receive weather information and road-related information about the location of a plurality of snow removal information collection devices from the plurality of snow removal information collection devices through the communication circuit, determine road conditions based on the weather information and the road-related information, , Determining a snow removal area to perform a snow removal operation based on the confirmed road condition and an amount of a snow removal agent to be sprayed in the snow removal area, and the snow removal operation including the snow removal area and the amount of the snow removal agent to be sprayed It may be configured to transmit related control signals to at least one snow removal device located in the snow removal area via the communication circuitry.

Description

Snow removal work management system using IoT (internet of things) {SYSTEM FOR MANAGING SNOW REMOVAL USING IoT}

Various embodiments of the present invention relate to a snow removal operation management system using the internet of things (IoT).

When snow falls in winter, snow may accumulate or freeze on roads, which may cause vehicle accidents and pedestrian safety accidents. In order to prevent such an accident, the snow removal device may perform a snow removal operation on the road. For example, when snowfall is expected through weather information, the snow removal device may perform a snow removal operation by spraying the snow removal agent based on the amount of snow removal agent pre-mapped to the temperature and amount of snowfall.

The snow removal work management system creates a snow removal work plan based on weather information, and performs snow removal work on tunnels, bridges or roads in a specific area according to the created snow removal work plan, so that each snow removal vehicle performs snow removal work. instructions can be sent. The system for managing the snow removal work may receive information on the state of the snow removal work from each snow removal vehicle and monitor the snow removal work in real time.

Korea Patent Registration 10-1581299.

However, the expected weather information may be different from the actual, and accordingly, when the snow removal agent is sprayed based on the amount of snow removal agent pre-mapped to the temperature and amount of snowfall, the snow removal operation may not be efficient. In other words, since it is not possible to grasp weather information and road surface conditions for a wide area in real time, it may not be possible to perform snow removal work in a snow removal area that actually requires snow removal work, and the amount of snow removal agent to be sprayed in the snow removal area It may also not be appropriate.

An apparatus for managing snow removal according to various embodiments of the present disclosure integrates and manages a snow removal zone and snow removal devices to perform snow removal based on weather information and road-related information received from sensor nodes connected to each other using IoT. can do.

The snow removal operation management device according to various embodiments of the present disclosure may build big data based on weather information and road-related information received from sensor nodes connected to each other using IoT. The snow removal work management device performs deep learning using a deep neural network (DNN) based on the built big data to spray in areas where snow removal work should be performed and areas where snow removal work should be performed first. The optimal amount of snow removal agent can be determined.

A snow removal work management system according to various embodiments of the present invention includes a communication circuit, a plurality of snow removal information collection devices, a plurality of snow removal devices, and a snow removal work management device, wherein the snow removal work management device includes the plurality of Receive weather information and road-related information about the location of the snow removal information collection devices from the plurality of snow removal information collection devices through the communication circuit, determine road conditions based on the weather information and the road-related information, Determining a snow removal area to perform a snow removal operation and an amount of a snow removal agent to be sprayed on the snow removal area based on the identified road conditions, and related to the snow removal operation including the snow removal area and the amount of the snow removal agent to be sprayed It may be configured to transmit a control signal to at least one snow removal device located in the snow removal area via the communication circuit.

The snow removal operation management device according to various embodiments of the present disclosure may receive weather information and road-related information in real time from sensor nodes installed in various places using IoT. The snow removal operation management apparatus may integrate and efficiently manage the snow removal operation using the snow removal apparatus as weather information and road-related information are received in real time from sensor nodes connected to each other.

The apparatus for managing a snow removal operation according to various embodiments of the present disclosure may determine a priority snow removal area and an optimal snow removal agent spraying amount based on weather information and road-related information. The snow removal operation management apparatus may prevent an accident that may occur due to icing of the road in advance by performing a snow removal operation based on the optimal snow removal agent spraying amount in the determined priority snow removal area.

The snow removal operation management apparatus according to various embodiments of the present disclosure may perform deep learning based on big data built based on weather information and road-related information to determine a priority snow removal area and an optimal snow removal agent spraying amount. Accordingly, the snow removal operation can be performed with the optimal snow removal agent spraying amount in the snow removal area where the snow removal operation is actually required, and thus the snow removal operation can be efficient.

1 is a diagram illustrating a snow removal work management system based on Internet of Things (IoT) according to various embodiments.
2 is a block diagram illustrating an IoT-based snow removal operation management system according to various embodiments.
3 is a block diagram illustrating a snow removal information collecting device according to various embodiments.
4 is a diagram illustrating a wireless sensor network provided as sensor nodes included in each of a plurality of snow removal information collection devices are connected to each other through wireless communication, according to various embodiments.
5A is a block diagram illustrating a snow removal apparatus, in accordance with various embodiments.
5B is a diagram illustrating a snow removal device, such as a mobile snow removal device and a stationary snow removal device, according to various embodiments.
6 is a block diagram illustrating a snow removal operation management apparatus according to various embodiments.
7 is a flowchart illustrating a method of transmitting a control signal related to snow removal according to various embodiments.
8 is a diagram for explaining a signal flow between devices according to various embodiments.
9 is a diagram illustrating a snow removal work status through a map, according to various embodiments.

1 is a diagram 100 illustrating an internet of things (IoT)-based snow removal operation management system according to various embodiments.

Referring to FIG. 1, the IoT-based snow removal operation management system includes a snow removal information collection device 110, a snow removal device, for example, a mobile snow removal device (eg, a mobile snow removal work vehicle 120), a fixed snow removal device (eg, a stationary liquid sprayer). System 130, a fixed eco-friendly snow removal system 140) may be included.

In one embodiment, the snow removal information collecting device 110 may obtain meteorological information (eg, temperature, humidity, wind direction/speed, whether or not it snows) and road-related information (eg, temperature and moisture on the road surface). The snow removal information collection device 110 may include a sensor node 115 . In one embodiment, a plurality of snow removal information collection devices 110 may be installed in a wide area, and the sensor nodes 115 included in each of the installed plurality of snow removal information collection devices are connected to each other through wireless communication to form a network. can do. As a network is formed between the sensor nodes, the snow removal information collection device 110 may monitor the snow removal status distributed in a wide area.

In one embodiment, the snow removal information collection device 110 may acquire weather information and road-related information of a location and transmit it to a snow removal operation management device (not shown).

In one embodiment, the snow removal device, for example, the mobile snow removal device 120 and the fixed snow removal device (eg, the fixed liquid spray system 130 and the stationary eco-friendly snow removal system 140) are used to remove snow from tunnels, bridges, roads, etc. To perform the snow removal work management device (not shown) and communication. For example, the fixed snow removal device may be installed in a habitually icy section or a section where initial response is difficult. Among the fixed snow removal devices, the stationary eco-friendly snow removal system 140 may include a phase change material (PCM) eco-friendly snow removal system and a carbon nanotube (CNT) eco-friendly snow removal system. The phase change material eco-friendly snow removal system may include a system that stores ambient heat by using a method of absorbing or releasing a lot of heat while changing a phase without a change in temperature at a specific temperature and releasing it when necessary. The carbon nanotube eco-friendly snow removal system may include a method using nanomaterials having improved thermal conductivity such as carbon nanotubes.

In one embodiment, at least one of the snow removal devices 120 , 130 , and 140 may receive a control signal related to a snow removal operation received from a snow removal operation management device (not shown). For example, the snow removal operation management device (not shown) checks the road condition based on the weather information and road-related information received from the snow removal information collection device 110, and the snow removal area requiring snow removal and snow removal to be spread in the area. You can determine the type of ritual and the amount of deicing agent. The control signal related to the snow removal operation received from the snow removal operation management device (not shown) may include a control signal to spray the snow removal area with the determined type and amount of the snow removal agent to be sprayed.

In one embodiment, the at least one snow removal device (120, 130, and / or 140) is based on a control signal related to the snow removal operation received from the snow removal operation management device (not shown) to spray the snow removal agent in the corresponding snow removal area can

2 is a block diagram 200 illustrating an IoT-based snow removal operation management system according to various embodiments.

Referring to FIG. 2, the IoT-based snow removal operation management system includes a snow removal information collection device 210 (eg, the snow removal information collection device 110 of FIG. 1), a snow removal device 220 (eg, a mobile snow removal vehicle) (120)), a fixed snow removal device (eg, a fixed liquid spray system 130, a fixed eco-friendly snow removal system 140), and a snow removal operation management device 230.

In one embodiment, the snow removal information collection device 210, the snow removal device 220, and the snow removal operation management device 230 may be communicatively connected through the communication network 240.

According to one embodiment, the snow removal information collection device 210 may be implemented in the form of FIG. 3 to be described later, the snow removal device 220 may be implemented in the form of FIG. 5a to be described later, and the snow removal operation management device 230 ) may be implemented in the form of FIG. 6 to be described later.

In one embodiment, the snow removal information collection device 110 is obtained weather information (for example, temperature, humidity, wind direction / wind speed, whether or not snowfall) and road-related information (for example, the temperature of the road surface, moisture) to the communication network 240 ) It may be transmitted (250) to the snow removal work management device 230 through.

In one embodiment, the snow removal device 220 may include a mobile snow removal device 120 . The mobile snow removal device 120 may include a snow removal vehicle, and the fixed snow removal devices 130 and 140 may include a liquid spray system and an eco-friendly snow removal system. However, it is not limited thereto.

In one embodiment, the snow removal operation management device 230 determines the snow removal area based on weather information and road-related information received from the snow removal information collection device 210 through the communication network 240, and to spread the determined snow removal area. The amount of deicing agent can be determined. The snow removal operation management device 230 may transmit a control signal related to the snow removal operation to the snow removal device 220 located in the determined snow removal area (255). The snow removal device 220 may perform snow removal work in a corresponding zone based on a control signal related to the snow removal work received from the snow removal work management device 230 .

In one embodiment, when the snow removal device 220 is a mobile snow removal device, location information obtained from GPS may be transmitted to the snow removal operation management device 230 through the communication network 240 (260).

3 is a block diagram 300 illustrating a snow removal information collection device 210 according to various embodiments.

Referring to FIG. 3 , the snow removal information collection device 210 (eg, the snow removal information collection device 110 of FIG. 1 ) includes a sensor unit 310, a camera 320, and a sensor node 330 (eg, FIG. 1 ). of the sensor node 115).

In one embodiment, the sensor unit 310 may include a weather sensor 311 and/or a load sensor 313 . The weather sensor 311 may obtain weather information such as temperature, relative humidity, wind direction, wind speed, and/or amount of sunlight. For example, the weather sensor 311 may obtain weather information from a weather station.

In one embodiment, the road sensor 313 (or road surface sensor) may obtain road-related information such as road surface temperature and road surface conditions. For example, the road surface conditions may include wet conditions on the road surface such as dry, wet, frozen, and/or melted.

In one embodiment, the road sensor 313 may include a non-contact infrared temperature sensor (not shown), and the temperature of the road surface may be acquired using the non-contact infrared temperature sensor (not shown).

In one embodiment, the load sensor 313 may include a lidar sensor (not shown), and the amount of snow cover may be measured using the lidar sensor.

In one embodiment, the snow removal information collection device 210 may include a plurality of load sensors 313. The sensor unit 310 may transmit the acquired weather information and road-related information to the sensor node 330 .

In one embodiment, the camera 320 may obtain a photographed image and transmit it to the sensor node 330 .

In one embodiment, the sensor unit 310 (eg, the weather sensor 311 and the road sensor 313) and the camera 320 may be wired or wirelessly connected to the sensor node 330 (eg, a sensor node for snow removal). can

In one embodiment, the sensor node 330 may obtain weather information and road-related information obtained from the sensor unit 310 .

In one embodiment, the sensor node 330 may be a node with a built-in wireless communication function. A plurality of snow removal information collection devices 110 may be installed in a wide area, and sensor nodes having a wireless communication function included in each of the installed plurality of snow removal information collection devices are connected to each other through wireless communication to form a wireless sensor network. It can be.

In one embodiment, the sensor node 330 may be powered by a constant power source or a solar panel or battery method.

In one embodiment, the sensor node 330 may measure whether or not there is snowfall, vehicle traffic volume, and/or vehicle movement speed based on an image received from the camera 320 . The sensor node 330 may transmit weather information and road-related information obtained through the sensor unit 310 to a snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2 ). The sensor node 330 may transmit information about the movement speed of the vehicle, the traffic volume of the vehicle, and/or snowfall to the snow removal operation management device 230 measured based on the image received from the camera 320.

4 is a diagram 400 illustrating a wireless sensor network provided as sensor nodes included in each of a plurality of snow removal information collection devices are connected to each other through wireless communication, according to various embodiments.

Referring to FIG. 4, a plurality of snow removal information collection devices (eg, the snow removal information collection device 210 of FIG. 2) may be installed in a wide area, and a sensor node included in each of the plurality of installed snow removal information collection devices ( 435) (eg, the sensor node 330 of FIG. 3) may be connected to each other through wireless communication to form a network.

In one embodiment, the snow removal information collection device 210 may configure a network (eg, a snow removal network) by being communicatively connected to a snow removal device (eg, the snow removal device 220 of FIG. 2 ). The snow removal network is a wireless network of the sensor node 425 (eg smart node) and the sensor node 435 (eg smart base) of the snow removal information collection device 210 of the snow removal device 220 It may include wireless sensor networks (WSN) 420 . The sensor node 435 of the snow removal information collection device 210 is connected to the AP 415 of citi wifi 410, for example, city public Wi-Fi (eg, smart Seoul network (S-Net)), and the snow removal operation management device (eg : It is possible to perform communication with the snow removal operation management device 230 of FIG. For example, the sensor node 435 of the snow removal information collection device 210 may perform communication with the snow removal operation management device 230 at up to 9.6 Gbps by applying, for example, Wi-Fi 6 (WiFi6). The type and speed of Wi-Fi described above are not limited thereto as one embodiment. As the sensor node 435 of the snow removal information collection device 210 is connected to the AP 415 of the citi wifi 410, it is possible to manage snow removal and related information in a wide area and to efficiently deliver a vast amount of information. can

In one embodiment, the snow removal information collection device 210 is information obtained from the snow removal device 220 and information obtained through a sensor unit (eg, the sensor unit 310 of FIG. 3) of the snow removal information collection device 210 To collect, it can be transmitted to the snow removal work management device (230). The snow removal information collection device 210 may receive control information about a snow removal operation from the snow removal operation management device 230 and may transmit it to the snow removal device 220 . The present invention is not limited thereto, and the snow removal operation management device 230 may transmit a control signal for the snow removal operation to the snow removal device 220 to perform the snow removal operation.

5A is a block diagram 500 illustrating a snow removal apparatus 220 according to various embodiments.

Referring to FIG. 5A , a snow removal device (eg, the snow removal device 220 of FIG. 2 ) includes a communication circuit 510, a memory 520, a sensor unit 530, a display 540, and a sensor node 550. can include

In one embodiment, the snow removal device 220 may include a plurality of snow removal devices. For example, the snow removal device 220 may include a mobile snow removal device (eg, the mobile snow removal device of FIG. 1 (eg, the mobile snow removal vehicle 120)) and a stationary snow removal device (eg, the stationary snow removal device of FIG. 1) (eg, a stationary liquid phase). A spraying system 130 and a fixed eco-friendly snow removal system 140) may be included.

In one embodiment, the communication circuit 510 may establish a communication channel with the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2) and support performing communication through the established communication channel.

In one embodiment, the memory 520 may store weather information, snow removal operation information, and/or snow removal amount information. For example, weather information may include outside air temperature, road surface temperature, and/or snowfall.

In one embodiment, when the snow removal device 220 is a mobile snow removal device (eg, the mobile snow removal device 120 of FIG. 1), the memory 520 may further store information of the mobile snow removal device 120. For example, the information of the mobile snow removal device 120 may include location information obtained based on the speed and GPS (not shown) of the mobile snow removal device 120 .

In one embodiment, the sensor unit 530 may include a temperature/humidity sensor 531 , a load sensor 533 , and a lidar sensor 535 .

In one embodiment, the temperature/humidity sensor 531 may obtain the temperature and/or humidity at the current location. The load sensor 533 may measure the road surface temperature and road surface conditions. For example, the load sensor 533 may measure the temperature of the road surface in order to remove snow or ice from the road surface in a snowy or icy state. The road surface conditions may include wet conditions on the road surface such as dryness, wetness, freezing, and melting. The lidar sensor 535 may measure the amount of snow.

In one embodiment, display 540 may display a preferred snow removal area and an optimal snow removal agent application amount. The display 540 may display a user interface for the status of snow removal work performed in a specific area. The display 540 may display a user interface including information related to a snow removal operation, for example, a user interface for enabling a user to set a preferred snow removal area and an optimal amount of snow removal agent to be sprayed.

In one embodiment, when the sensor node 550 receives a control signal related to a snow removal operation from the snow removal operation management device 230, the snow removal agent may be sprayed to the corresponding snow removal area based on the control signal.

In one embodiment, although not shown, if the snow removal device 220 is a mobile snow removal device (eg, the mobile snow removal device of FIG. 1), for example, the mobile snow removal vehicle 120, it may further include a GPS. The GPS may acquire location information of the mobile snow removal vehicle and may transmit it to the sensor node 550 .

In relation to the above-described snow removal device 220, for example, the mobile snow removal device 120 and the fixed snow removal device 120, for example, the fixed liquid spreading system 130, various embodiments will be described in FIG. 5B to be described later.

5B illustrates a snow removal device 220, for example, a mobile snow removal device (eg, a mobile snow removal vehicle 120) and a stationary snow removal device (eg, a stationary liquid spreading system 130) according to various embodiments. Figure 550.

Referring to FIG. 5B, the mobile snow removal device shown by reference number <560> according to an embodiment includes a mobile snow removal vehicle (eg, the mobile snow removal device 120 of FIG. 1) for spraying snow removal agent on a road section. can do.

In one embodiment, the mobile snow removal vehicle 120 may include a sensor node (eg, a smart node) 561 (eg, the sensor node 550 of FIG. 5A ). The sensor node 561 of the mobile snow removal vehicle 120 may obtain information related to the mobile snow removal vehicle 120 through a sensor unit (eg, the sensor unit 530 of FIG. 5A ). For example, the information related to the mobile snow removal vehicle 120 obtained from the sensor unit 530 includes operation information 562 of the mobile snow removal vehicle 120, weather information 563, remaining snow removal information 564, and / or the amount of snow removal agent 565 may be included. For example, the operation information 562 of the mobile snow removal vehicle 120 is the speed information of the mobile snow removal vehicle 120 obtained through a speed sensor and the speed information of the mobile snow removal vehicle 120 obtained through a GPS (not shown). It may contain location information. The weather information 563 includes temperature information obtained through a temperature/humidity sensor (eg, the temperature/humidity sensor 531 of FIG. 5A), and road surface information obtained through a road sensor (eg, the road sensor 533 of FIG. 5A). The temperature and/or the amount of snowfall obtained through a lidar sensor (eg, lidar sensor 535 of FIG. 5A) may be included. The present invention is not limited thereto, and the mobile snow removal vehicle 120 may further include a non-contact infrared temperature sensor, and the road surface temperature may be obtained through the non-contact infrared temperature sensor. In one embodiment, the non-contact infrared temperature sensor and lidar sensor 535 may be installed at the front of the mobile snow removal vehicle 120 .

In one embodiment, the sensor node 561 of the mobile snow removal vehicle 120 may obtain information on the remaining amount of snow removal agent 564 . For example, the snow remover may include a solid snow remover and/or a liquid snow remover. The sensor node 561 of the mobile snow removal vehicle 120 may obtain information on the remaining amount of the solid snow remover using the lidar sensor 535 and may obtain information on the remaining amount of the liquid snow remover using a water pressure gauge. have.

In one embodiment, when the sensor node 561 of the mobile snow removal work vehicle 120 receives a control signal 566 related to a snow removal operation from a snow removal work management device (eg, the snow removal work management device 230 of FIG. 2 ). , based on this, the snow removal agent can be sprayed in the corresponding snow removal area. For example, the control signal 566 related to a snow removal operation may first include a snow removal area and a snow removal agent application amount. In one embodiment, when the solid snow removal agent is sprayed, the sensor node 561 of the mobile snow removal work vehicle 120 may measure the amount of application of the solid snow removal agent based on the rotation amount (rpm) of the drive motor. When the liquid snow removal agent is sprayed, the sensor node 561 of the mobile snow removal vehicle 120 may measure the spray amount of the liquid snow removal agent using the flow meter of the nozzle.

In one embodiment, the sensor node 561 of the mobile snow removal vehicle 120 may control the amount of snow removal agent in consideration of the road surface condition, for example, the snow removal width (eg, lane (or lane)).

In one embodiment, the sensor node 570 of the mobile snow removal device vehicle 120 may transmit the snow removal work status being performed to the snow removal work management device 230 .

In one embodiment, the sensor node 561 of the mobile snow removal vehicle 120 may obtain information related to the mobile snow removal vehicle 120 (eg, operation information 562 of the mobile snow removal vehicle 120, weather information). 563, information on the remaining amount of snow removal agent 564, and amount of snow removal agent sprayed 565) may be stored in a memory (eg, the memory 520 of FIG. 5A).

In one embodiment, the sensor node 561 of the mobile snow removal work vehicle 120 may display a user interface related to the snow removal work on the display 540 . A user of the mobile snow removal work vehicle 120 may control the snow removal work through a user interface related to the snow removal work displayed on the display 540 .

In one embodiment, the fixed snow removal device shown in reference number <580> according to one embodiment may include a fixed liquid spray system (eg, the fixed liquid spray system 130 of FIG. 1). It is not limited thereto, and the fixed snow removal device may include a stationary eco-friendly snow removal system (eg, the stationary eco-friendly snow removal system 140 of FIG. 1 ).

In one embodiment, the stationary liquid distribution system 130 may include a sensor node (eg, a smart node) 581 (eg, the sensor node 550 of FIG. 5A). The sensor node 581 of the fixed liquid spray system 130 may obtain information related to the fixed liquid spray system 130 through a sensor unit (eg, the sensor unit 530 of FIG. 5A). For example, the information related to the fixed liquid spreading system 130 obtained from the sensor unit 530 may include a snow removal agent spray amount 582, weather information 583, and/or snow removal agent remaining amount information 584. For example, the weather information 583 includes air temperature information obtained through the temperature/humidity sensor 531, road surface temperature obtained through the road sensor 533, and/or snow cover obtained through the lidar sensor 535. can do. It is not limited thereto, and the fixed liquid spray system 130 may further include a non-contact infrared temperature sensor, and the road surface temperature may be acquired through the non-contact infrared temperature sensor.

In one embodiment, the sensor node 581 of the fixed liquid spreading system 130 may obtain the remaining amount information 584 of the snow removal agent, for example, the remaining amount information of the liquid snow removal agent. For example, the fixed liquid spray system 130 may include a storage tank, and information on the remaining amount of the liquid snow removal agent stored in the storage tank may be obtained using a water pressure gauge.

In one embodiment, the sensor node 581 of the fixed liquid spreading system 130 may communicate with the snow removal operation management device 230 . When the sensor node 581 of the fixed liquid spreading system 130 receives the control signal 585 related to the snow removal operation from the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2 ), the liquid based on the control signal 585 is received. Snow remover can be sprayed. For example, the control signal 585 related to the snow removal operation may include a spray amount of the liquid snow removal agent. The fixed liquid spraying system 130 may have a nozzle, and may measure and control the spraying amount of the liquid snow remover through the nozzle.

In one embodiment, the stationary liquid spreading system 130 (or the stationary eco-friendly snow removal system 140) may be installed in a section where initial response is difficult, such as a section where snow removal is weak and / or a section where ice formation occurs habitually. Can be installed. The section in which the fixed liquid spray system 130 (or the fixed eco-friendly snow removal system 140) is installed is, for example, a bridge entry and exit road, a ramp section, an overpass road, a hill road, an underpass, an urban tunnel starting / ending slope section (eg: slope of 3% or more), and/or hill roads in the boundary section between local governments.

6 is a block diagram 600 illustrating a snow removal operation management device 230 according to various embodiments.

In one embodiment, the snow removal work management device (eg, the snow removal work management device 230 of FIG. 2 ) may be a device for integrated management of snow removal work. The snow removal operation management device 230 may detect whether snowfall occurs, predict road surface conditions, optimize the amount of snow removal, and provide snow removal operation status information to users (eg, snow removal managers and/or citizens). have.

Referring to FIG. 6, the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2) may include a communication circuit 610, a memory 620, a display 630, and a processor 640. have.

In one embodiment, the communication circuitry 610 is a communication channel with a snow removal information collection device (eg, snow removal information collection device 210 of FIG. 2 ) and/or a snow removal device (eg, snow removal device 220 of FIG. 2 ). and may support communication through the established communication channel The communication circuit 610 uses a wireless communication module (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module). Among these communication modules, the corresponding communication module is a short-distance communication network such as Bluetooth, WiFi direct, or infrared data association (IrDA), or a long-distance communication network such as a cellular network, the Internet, or a computer network (eg, LAN or WAN). It is possible to communicate with the snow removal information collection device 210 and / or the snow removal device 220 through a communication network.

In one embodiment, memory 620 may include database 621 . The database 621 may include, for example, a weather information database 621a, a road information database 621b, and a snow removal device location database 621c. The weather information database 621a may include real-time weather information about a corresponding location received from each of a plurality of snow removal information collection devices. The road information database 621b may store the width of the road, the number of lanes, and the direction of the road. The snow removal device location database 621c may store location information received from each of the snow removal devices, for example, a plurality of mobile snow removal devices. The snow removal device location database 621c may store location information of a plurality of fixed snow removal devices, for example, a snow removal device.

In one embodiment, the database 621 includes a snow removal area database 621d and an optimal snow removal agent application amount database 621e accumulated by accumulating the snow removal area determined by the processor 640 and the optimal amount of snow removal agent to be sprayed in the snow removal area. ) may further include.

In one embodiment, the display 630 may display the determined snow removal area and the optimal snow removal agent application amount under the control of the processor 640 based on a geographic information system for transportation (GIS-T). In one embodiment, the display 630 may display a screen for a snow removal work status performed in a specific area under the control of the processor 640 .

In one embodiment, the processor 640 includes an information collection unit 641, a road condition monitoring unit 643, a snow removal operation determining unit 645, a snow removal operation monitoring unit 647, and a snow removal operation providing unit 649. can include

In one embodiment, the information collection unit 641 receives weather information and road-related information from the snow removal information collection device 210 and stores the database 621 (eg, the weather information database 621a and the road information database 621b). can be stored in The information collection unit 641 may receive location information from the snow removal device 220 and store the location information in the database 621 (eg, the snow removal device location database 621c).

In one embodiment, the road condition monitoring unit 643 of the processor 640 may receive weather information and road-related information (eg, road) of a place where the snow removal information collection device 210 is located. Road conditions (e.g. road conditions such as icing and snow) can be monitored based on surface conditions).

In one embodiment, as a result of monitoring by the road condition monitoring unit 643, when snow and ice are generated on the road of the corresponding place, the snow removal operation determining unit 645 of the processor 640 preferentially places the snow removal operation. (e.g. area) can be determined. For example, the snow removal operation determination unit 645 may determine an area where the snow removal amount exceeds a specified value and the temperature of the road surface is less than or equal to the specified value as a place to perform the snow removal task with priority based on the monitoring result. For another example, the snow removal operation determination unit 645 prioritizes an area determined to be a vulnerable area for snow removal based on road information (eg, width of the road, number of lanes, direction of the road) stored in the road information database 621b. You can decide where to perform the snow removal work.

In one embodiment, the processor 640 may receive an image acquired through the camera 320 of the snow removal information collection device 210 from the snow removal information collection device 210. The road condition monitoring unit 643 of the processor 640 may analyze video images received from dozens of snow removal information devices 210 to determine whether snowfall or rain has occurred. For example, the processor 640 may divide the pixels of the video image and correct the error using a rule selected based on the luminous intensity and size of the divided pixels. The processor 640 may calculate a direction histogram for each stripe of each pixel, and may detect snowfall or a pixel of rainfall based on the calculated direction histogram.

In one embodiment, the processor 640 may acquire video images at designated time intervals from the snow removal information collection device 210, and determine whether snowfall or rainfall occurs based on the video images obtained at designated time intervals. have.

In one embodiment, the processor 640 may analyze the video image to detect vehicles and predict information on traffic conditions (eg, the number of passing vehicles and vehicle speed). For example, the processor 640 detects a vehicle by performing difference filtering, background subtraction, image segmentation, lamp suppression (eg, in the case of night), shadow suppression (eg, in the case of day), and/or contour extraction on the obtained video image. can do. Parameters for detecting a vehicle may be predefined and pre-stored in the memory 620 . For example, parameters for detecting a vehicle may include virtual coil generation, line sensing parameters, thresholds, and/or night sensing areas. The processor 640 may calculate congestion of the vehicle and the number of passing vehicles by using the parameter for detecting the vehicle. Parameters may be manually set by the user or may be set automatically.

In one embodiment, the road condition monitoring unit 643 may calculate a road surface temperature prediction model based on a heat-balance equation, and deep learning time-series data calculated from the road surface temperature prediction model Through this, the condition of the road surface can be predicted. For example, the road condition monitoring unit 643 may calculate energy flow on the road surface and vertical heat transfer between the road surface and the atmosphere based on the energy balance law. For example, the road condition monitoring unit 643 may include meteorological information (eg, temperature, humidity, wind direction/speed, whether or not there is snowfall) obtained from the snow removal information collection device 210 and road-related information (eg, temperature and moisture on the road surface). ) can be applied to the energy balance law model to obtain a numerical solution. The road condition monitoring unit 643 may predict road conditions, for example, air temperature, road surface temperature, and/or road surface conditions, through a road surface condition prediction model based on an energy balance equation.

In one embodiment, the snow removal operation determining unit 645 of the processor 640 is a database 621 (eg, the snow removal area database 621d and the optimal snow removal agent application amount database 621e) related to snow removal operations accumulated in the database 621. By analyzing big data in a deep learning method, it is possible to determine a priority snow removal area.

In one embodiment, the snow removal operation determination unit 645 may determine the optimal amount of snow removal agent to be sprayed on the determined location (eg, area) to perform the snow removal operation. For example, the snow removal operation determination unit 645 may calculate the heat transfer equation as a governing equation to determine the optimal amount of snow removal agent to be sprayed. The snow removal operation determining unit 645 may calculate an optimal amount of snow removal agent by using a heat transfer equation that follows the energy flow law as a governing equation when melting snow using the snow removal agent. Sensing information that can be substituted into the heat transfer equation includes external conditions such as meteorological conditions (e.g., temperature, relative humidity, wind direction, wind speed, and/or amount of sunlight), road surface conditions (e.g., road surface temperature, road condition), and amount of snow. can include The snow removal operation determination unit 645 may determine the snow removal agent spray amount according to the target snow removal time and performance by substituting the external conditions into the heat transfer equation. The heat transfer equation is a deterministic method using a function formula, and the amount of snow removal agent can be calculated through the solution of one equation.

In another embodiment, the snow removal operation determining unit 645 may determine the amount of snow removal agent to be sprayed using deep learning on the input value and the target value (eg, the amount of snow removal agent to be sprayed). For example, the snow removal operation determining unit 645 may build big data based on information obtained from the snow removal information collection device 210 and the snow removal device 220 . Deep learning can be performed using a deep neural network (DNN) based on information built from big data. The input values may include meteorological conditions, road surface conditions, and the amount of snow cover necessary for solving the heat transfer equation, and the target values may include the amount of snow removal agent. Since the amount of learning increases as the input value and the target value are continuously accumulated, the accuracy of the amount of snow removal agent can be improved. If the snow removal agent application amount over time is represented as a time series value, it may be possible to predict the snow removal agent application amount.

For example, a method of constructing big data may include bare pavement status (BPS) and bare pavement regain time (BPRT). For example, the BPS may mean a ratio of an area in which snow is completely removed due to spraying of a snow remover with respect to a specific road area. The snow removal operation determining unit 645 may take pictures over time after spraying the snow removal agent and calculate the snow melting area compared to the total area through image analysis. BPRT can be defined as the time that elapses until the ratio of the area where snow removal is completely removed reaches 80% after spraying the snow remover for a specific road area. The elapsed time until the BPS reaches 80% can be measured by video recording after the snow remover is sprayed. The snow removal operation determination unit 645 may build big data using the aforementioned BPS and BPRT and determine the amount of snow removal agent to be sprayed based on the big data.

In one embodiment, the snow removal operation determining unit 645 may first determine a snow removal area based on the optimal amount of snow removal agent and the traffic geographic information system. For example, the optimal snow removal agent application amount may be determined based on weather information, road-related information, and/or snow cover. Topographical information on the city's traffic network may be stored in the memory 620 in advance as a traffic geographic information system. For example, a traffic network of a city may include the shape of the road network, the number of lanes, the amount of traffic, the type of road pavement, the direction, the amount of sunlight, and/or maintenance information. The snow removal operation determination unit 645 may determine a priority snow removal area through an optimal snow removal agent spraying amount and network analysis of a traffic network of the traffic geographic information system. Network analysis can mean calculating the arrival time based on the road network, and functions such as vehicle routes, distance from the current point to the nearest facility, service area of a specific building, route analysis of multiple vehicles, and traffic calculation can provide For example, the transportation geographic information system may be composed of transportation networks, flows, terrain information, and/or land use patterns. The transportation geographic information system can analyze and visualize traffic network, flow, terrain information, and/or land use information. The data model for the traffic geographic information system may be composed of vector data of the road network and raster data of the grid of the topography. Vector data on the road network of a corresponding city (eg, Seoul) may be pre-stored in the memory 620 to determine the snow removal area. Vector data may define the ID and length of each shape in advance, and based on this, the area, width, and characteristics of each shape may be automatically calculated or may be input separately. Network analysis may include turning conditions of intersections. The snow removal operation determination unit 645 may first determine a snow removal area by network analysis of attribute information (eg, length, driving speed, and/or intersection rotation restriction) defined for each intersection and road.

In one embodiment, the processor 640 may transmit a control signal for performing a snow removal operation to at least one snow removal device located in the snow removal area determined by the snow removal operation determination unit 645 . The processor 640 may also transmit the determined optimum snow removal agent spraying amount together with the control signal.

In one embodiment, the snow removal operation monitoring unit 647 of the processor 640 may monitor the snow removal operation performed by at least one snow removal device. For example, the processor 640 may receive status information of the snow removal work performed by the snow removal device 220 from the snow removal information collection device 210, and based on this, the work situation of the snow removal work site may be monitored in real time. .

In one embodiment, the processor 640 performs monitoring by the snow removal operation monitoring unit 647, and adjusts the snow removal operation of the snow removal device based on weather information and road-related information received from the snow removal information collection device 210. can For example, the processor 640 may variably adjust the amount of spraying liquid, the spraying distance, the spraying method, and the spraying time of the snow removal device.

In one embodiment, the snow removal work provider 649 of the processor 640 may provide information related to the snow removal work based on information obtained from the snow removal information collection device 210 and/or the snow removal device 220. . For example, the snow removal work provider 649 of the processor 640 may visualize the snow removal status information and display it on the display 630 . The snow removal operation providing unit 649 of the processor 640 may provide snow removal status information on a web basis. As the snow removal status information is visualized and displayed on the display 630 and/or provided based on the web, the snow removal manager and the web users can check the snow removal operation status and traffic information in real time. For example, the visualized snow removal status information may further include maintenance area selection, precipitation warning for each road type, map display information selection, radar sensor-based air temperature information, point and zone display information, and/or observation and prediction information. can

7 is a flowchart 700 illustrating a method of transmitting a control signal related to snow removal according to various embodiments.

Referring to FIG. 7, the snow removal work management device (eg, the snow removal work management device 230 of FIG. 2) in operation 710, weather information from the snow removal information collection device (eg, the snow removal information collection device 210 of FIG. 2). and road-related information may be received. For example, weather information may include temperature, relative humidity, wind direction, wind speed, and/or amount of sunlight, and road-related information may include road surface temperature and road surface conditions (eg, road surface wetness).

In one embodiment, the snow removal operation management device 230 may check road conditions (eg, dryness, freezing, melting, snowfall) based on weather information and road-related information in operation 720 .

In one embodiment, the snow removal operation management device 230 may determine, in operation 730, a snow removal area to perform a snow removal operation and an amount of snow removal agent to be sprayed in the snow removal area based on the confirmed road conditions. For example, the snow removal operation management device 230 may determine an area where the snow removal amount exceeds a specified value and the temperature of the road surface is less than or equal to the specified value as a place to perform the snow removal task first, based on the confirmed road condition. For another example, the snow removal operation management device 230 is based on road information (eg, the width of the road, the number of lanes, the direction of the road) stored in the road information database (eg, the road information database 621b of FIG. 6). An area judged to be a vulnerable area for road snow removal may be preferentially determined as a place to perform snow removal. For another example, the snow removal operation management device 230 is big data built on the basis of the information obtained from the snow removal information collection device 210 (eg, the snow removal area database 621d and the optimal snow removal agent application amount database 621e )), it is possible to determine the snow removal area and the amount of snow removal agent to be sprayed on the snow removal area by performing deep learning using a deep neural network (DNN).

In various embodiments, although not shown, the snow removal operation management device 230 may further determine the type of snow removal agent to be sprayed based on road-related information. For example, the road-related information may include properties of the road, such as a road where corrosion may occur, an uphill road, a tunnel, and/or an intersection. However, it is not limited thereto. In one embodiment, the snow removal operation management device 230 may determine the type of snow removal agent to be sprayed based on road-related information, for example, whether or not the road may cause corrosion. For example, if it is determined that the snow removal operation management device 230 performs a snow removal operation on a road where corrosion may occur, it may be considered, for example, to exclude a chlorinated snow removal agent as a snow removal agent to be sprayed. For another example, if it is determined that the snow removal operation is performed on an uphill section, the snow removal operation management device 230 may determine sand as a snow removal agent to be sprayed so as not to slip on the uphill road in consideration of this.

In various embodiments, although not shown, the snow removal operation management device 230 may further determine a snow removal operation to be performed by the snow removal device 220 . Snow removal operations may include push removal, blower casting, and/or transport snow removal.

In one embodiment, the snow removal operation management device 230 may transmit, in operation 740, a control signal related to the snow removal operation to at least one snow removal device located in the snow removal area.

In one embodiment, the snow removal work management device 230 transmits the determined amount of snow removal agent to be sprayed to the snow removal device, and then displays a screen for the status of the snow removal work performed in a specific area (eg, the display 630 of FIG. 6 ). )) can be displayed.

In one embodiment, although not shown, the snow removal operation management device 230 monitors the snow removal operation status and adjusts the snow removal operation of the snow removal device based on weather information and road-related information received from the snow removal information collection device 210. can

8 is a diagram 800 for explaining signal flow between devices according to various embodiments.

Referring to FIG. 8 , the snow removal information collection device (eg, the snow removal information collection device 210 of FIG. 2 ) may obtain weather information and road-related information in operation 810 . The snow removal information collection device 210 may transmit weather information and road-related information to a snow removal work management device (eg, the snow removal work management device 230 of FIG. 2 ) in operation 820 .

In one embodiment, the snow removal operation management device 230 determines, in operation 830, the amount of snow removal to be sprayed in the snow removal area and the snow removal area based on the weather information and road-related information obtained from the snow removal information collection device 210. can For example, the snow removal operation management device 230 checks the road condition (eg, dryness, freezing, melting, snowfall) based on weather information and road-related information, and determines the snow removal zone and snow removal zone to perform the snow removal operation based on this. You can determine the amount of deicing agent to be applied.

In one embodiment, the snow removal task management device 230 may transmit the determined amount of snow removal agent to the snow removal device located in the determined snow removal area in operation 840 .

In one embodiment, the snow removing device 220 receiving the amount of the snow removal agent may spray the snow removal agent based on the received amount of the snow removal agent in operation 850 .

In one embodiment, although not shown, the snow removal device 220 may acquire location information of the snow removal device 220 . In operation 830, the snow removal operation management device 230 further considers the location information of the snow removal device 220 received from the snow removal device 220 to determine the first snow removal area and the amount of snow removal agent to be sprayed in the snow removal area.

9 is a diagram 900 illustrating a snow removal operation status through a map according to various embodiments.

Referring to FIG. 9, the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2) determines the road condition based on weather information and road-related information received from the snow removal information collection device 210, Based on this, it is possible to determine the snow removal area to perform the snow removal operation and the amount of snow removal agent to be applied to the snow removal area. The snow removal operation management device 230 may transmit a control signal related to the snow removal operation to at least one snow removal device located in the snow removal area.

In one embodiment, the snow removal work management device 230 transmits the amount of the snow removal agent determined to the snow removal device, and then displays a screen for the snow removal work status 910 performed in a specific area (eg, the display of FIG. 6 ( 630)). For example, the screen for the snow removal work status 910 may include a route and a snow removal work schedule of a snow removal device, for example, a mobile snow removal work vehicle (eg, the mobile snow removal work vehicle 120 of FIG. 1 ). The present invention is not limited thereto, and the screen for the snow removal operation status 910 may further display snowfall information, road surface temperature information, traffic information, and/or road shape.

In one embodiment, as the screen for the snow removal work status 910 is displayed, the user of the snow removal work management device 230 can monitor the snow removal work current status 910 performed by at least one snow removal device in real time.

210: snow removal information collection device 220: snow removal device
230: snow removal operation management device

Claims (15)

In the snow removal work management system,
communication circuit;
a plurality of snow removal information collection devices;
a plurality of snow removal devices; and
Including a snow removal work management device,
The snow removal work management device,
Through the communication circuit, receiving a plurality of parameters related to the location of the plurality of snow removal information collection devices from the plurality of snow removal information collection devices,
Based on the received plurality of parameters, first determine a snow removal area,
Determining the type and amount of snow removal agent to be sprayed in the priority snow removal zone, and
Through the communication circuit, a control signal related to the snow removal operation including the type and amount of the snow removal agent to be sprayed in the determined priority snow removal area is transmitted to the determined priority snow removal area among the plurality of snow removal devices. Sending to at least one snow removal device located,
The plurality of parameters include weather information, road condition information, road attribute information, traffic condition information, and traffic network information of a region including the location,
The snow removal work management device,
Storing the amount of snow removal agent according to the snow removal time required according to the weather information of the priority snow removal zone, the attribute information of the road, and the amount of snow in a memory,
After the determined type and amount of the snow removal agent are sprayed and a specified time elapses, image information is obtained from the plurality of snow removal information collection devices, and snow is accumulated in the priority snow removal area analyzed based on the image information. Storing in the memory the time elapsed for the ratio of the removed area and the ratio of the area from which the snow cover has been removed to reach a specified ratio;
The amount of snow removal agent according to the required snow removal time stored in the memory, the ratio of the area from which the snow is removed, and the ratio of the area from which the snow is removed are stored in the big data (big data) data), and
A snow removal operation management system for determining the amount of the snow removal agent by analyzing the big data in a deep learning method. According to claim 1,
Each of the plurality of snow removal information collection devices includes a sensor node,
A sensor node included in each of the plurality of snow removal information collection devices is set to configure a wireless sensor network by being connected to the plurality of snow removal devices. According to claim 1,
Each of the plurality of snow removal information collection devices further includes a camera,
The plurality of snow removal information collection devices,
Measuring at least one of the traffic condition information including whether or not it snows or the amount of traffic of a vehicle and the moving speed of the vehicle based on an image obtained through the camera; and
Snow removal work management system set to transmit information on at least one of the measured moving speed of the vehicle, the amount of traffic of the vehicle, or whether the snow is snowing to the snow removal work management device. According to claim 1,
The plurality of snow removal devices, snow removal work management system including a mobile snow removal device and a fixed snow removal device. According to claim 4,
The mobile snow removal device further includes a speed sensor and a GPS,
The mobile snow removal device,
A snow removal operation management system set to transmit operation information including the speed information of the mobile snow removal device obtained through the speed sensor and the location information of the mobile snow removal device obtained through the GPS to the snow removal operation management device. According to claim 1,
The at least one snow removal device includes a display,
The at least one snow removal device,
A snow removal work management system configured to display a user interface for a control signal related to the snow removal work received from the snow removal work management device on the display. According to claim 6,
The at least one snow removal device,
A snow removal operation management system set to display a user interface capable of adjusting at least one of the priority snow removal zone or the amount of snow removal agent to be sprayed on the display. According to claim 1,
The snow removal work management device,
Based on the condition information of the road, a snow removal operation management system set to determine a snow removal operation that can be performed in the priority snow removal zone. According to claim 1,
The snow removal operation management device further includes a memory,
The snow removal work management device,
The priority snow removal zone and the snow removal operation management system set to store the type and amount of snow removal agent to be sprayed in the priority snow removal zone in the memory. According to claim 9,
The snow removal work management device,
The priority snow removal zone stored in the memory and the type of snow removal agent to be sprayed in the priority snow removal zone are built as big data, and the big data is analyzed by a deep learning method, A snow removal operation management system set to determine the priority snow removal zone and the type of snow removal agent to be sprayed on the priority snow removal zone. According to claim 10,
The snow removal work management device,
A snow removal operation management system configured to store the plurality of parameters received from the plurality of snow removal information collection devices in the memory. According to claim 1,
The snow removal work management device,
The snow removal operation of the at least one snow removal device is monitored, and based on the snow removal operation status of the at least one snow removal device and the plurality of parameters received from at least one snow removal information collection device located in the snow removal area. The snow removal operation management system set to adjust the amount of snow removal agent to be sprayed in the priority snow removal zone and the priority snow removal zone. According to claim 1,
The snow removal operation management device further includes a display,
The snow removal work management device,
A snow removal operation management system set to display the priority snow removal area and the amount of snow removal agent to be sprayed in the priority snow removal area on the display as a map through a geographic information system. According to claim 1,
The snow removal work management device,
Based on the condition information of the road, an area where the amount of snow cover exceeds a specified value and the temperature of the road is less than or equal to a specified value, an area vulnerable to snow removal identified based on the condition information of the road and the property information of the road, and the traffic condition information Snow removal set to determine the priority snow removal area through deep learning based on the moving speed of the vehicle included in and the traffic volume of the vehicle, network analysis based on traffic network information in the area, and big data related to the snow removal operation accumulated in memory work management system. 15. The method of claim 14,
The attribute information of the road includes at least one of a road where corrosion may occur, an uphill road, a tunnel, or an intersection, and
The traffic network information of the region is a snow removal work management system that includes at least one of the shape of the region, the number of lanes, traffic volume, road pavement type, directionality, amount of sunlight, or maintenance information.

Images