WO2022019603A1 - Snow removal operation management system using internet of things (iot) - Google Patents

Snow removal operation management system using internet of things (iot) Download PDF

Info

Publication number
WO2022019603A1
WO2022019603A1 PCT/KR2021/009307 KR2021009307W WO2022019603A1 WO 2022019603 A1 WO2022019603 A1 WO 2022019603A1 KR 2021009307 W KR2021009307 W KR 2021009307W WO 2022019603 A1 WO2022019603 A1 WO 2022019603A1
Authority
WO
WIPO (PCT)
Prior art keywords
snow removal
operation management
removal operation
information
snow
Prior art date
Application number
PCT/KR2021/009307
Other languages
French (fr)
Korean (ko)
Inventor
박민철
오한진
이진욱
Original Assignee
재단법인 서울특별시 서울기술연구원
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 재단법인 서울특별시 서울기술연구원 filed Critical 재단법인 서울특별시 서울기술연구원
Publication of WO2022019603A1 publication Critical patent/WO2022019603A1/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01HSTREET CLEANING; CLEANING OF PERMANENT WAYS; CLEANING BEACHES; DISPERSING OR PREVENTING FOG IN GENERAL CLEANING STREET OR RAILWAY FURNITURE OR TUNNEL WALLS
    • E01H10/00Improving gripping of ice-bound or other slippery traffic surfaces, e.g. using gritting or thawing materials ; Roadside storage of gritting or solid thawing materials; Permanently installed devices for applying gritting or thawing materials; Mobile apparatus specially adapted for treating wintry roads by applying liquid, semi-liquid or granular materials
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01HSTREET CLEANING; CLEANING OF PERMANENT WAYS; CLEANING BEACHES; DISPERSING OR PREVENTING FOG IN GENERAL CLEANING STREET OR RAILWAY FURNITURE OR TUNNEL WALLS
    • E01H10/00Improving gripping of ice-bound or other slippery traffic surfaces, e.g. using gritting or thawing materials ; Roadside storage of gritting or solid thawing materials; Permanently installed devices for applying gritting or thawing materials; Mobile apparatus specially adapted for treating wintry roads by applying liquid, semi-liquid or granular materials
    • E01H10/005Permanently-installed devices for applying gritting or thawing materials, e.g. for spreading grit, for spraying de-icing liquids
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01HSTREET CLEANING; CLEANING OF PERMANENT WAYS; CLEANING BEACHES; DISPERSING OR PREVENTING FOG IN GENERAL CLEANING STREET OR RAILWAY FURNITURE OR TUNNEL WALLS
    • E01H10/00Improving gripping of ice-bound or other slippery traffic surfaces, e.g. using gritting or thawing materials ; Roadside storage of gritting or solid thawing materials; Permanently installed devices for applying gritting or thawing materials; Mobile apparatus specially adapted for treating wintry roads by applying liquid, semi-liquid or granular materials
    • E01H10/007Mobile apparatus specially adapted for preparing or applying liquid or semi-liquid thawing material or spreading granular material on wintry roads
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/40Transportation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • G16Y20/10Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/10Detection; Monitoring

Definitions

  • Various embodiments of the present invention relate to a snow removal operation management system using the Internet of Things (IoT).
  • IoT Internet of Things
  • the snow removal device may perform the operation of removing snow accumulated on the road. For example, when snowfall is expected through weather information, the snow removal apparatus may spray the snow removal agent based on the snow removal amount previously mapped to the temperature and the snow load amount to perform the snow removal operation.
  • the snow removal operation management system generates a snow removal operation plan based on weather information, and instructs each snow removal vehicle to perform snow removal operation on a tunnel, bridge, or road in a specific area according to the created snow removal operation plan. can be transmitted.
  • the system for managing the snow removal may receive information on the snow removal operation status from each snow removal vehicle and monitor the snow removal operation in real time.
  • the expected weather information may be different from the actual one, and accordingly, when the snow removal operation is applied based on the snow removal amount previously mapped to the temperature and snow load, the snow removal operation may not be efficient. In other words, as it is not possible to grasp the weather information and road conditions for a wide area in real time, it may not be possible to carry out snow removal work in the snow removal area that actually requires snow removal operation, and the amount of snow removal agent to be applied to the snow removal area It may also not be appropriate.
  • Snow removal operation management apparatus based on weather information and road-related information received from sensor nodes connected to each other using IoT, integrates and manages a snow removal area and snow removal apparatuses to perform a snow removal operation can do.
  • the snow removal operation management apparatus 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 operation management device performs deep learning using a deep neural network (DNN) based on the built big data to first spray the area to be snow-removed and the area to be snow-removed. It is possible to determine the optimal amount of snow removal agent applied.
  • DNN deep neural network
  • a snow removal operation management system includes a communication circuit, a plurality of snow removal information collection devices, a plurality of snow removal devices, and a snow removal operation management device, wherein the snow removal operation management device includes the communication circuit Receive weather information and road-related information on the locations of the plurality of snow-removing information collecting devices from the plurality of snow-removing information collecting devices through a circuit, and confirming a road condition based on the weather information and the road-related information, , based on the identified road conditions, determine a snow removal area to preferentially perform a snow removal operation and a type and amount of a snow removal agent to be applied to the snow removal zone, and through the communication circuit, determine the determined snow removal zone Set to transmit a control signal related to the snow removal operation including the type of the snow removal agent to be sprayed on the snow and the amount of the snow removal agent to at least one snow removal apparatus located in the determined snow removal area among the plurality of snow removal apparatuses can
  • the snow removal operation management apparatus may receive weather information and road-related information from sensor nodes installed in various places in real time using IoT.
  • the snow removal operation management apparatus may integrally and efficiently manage the snow removal operation by using the snow removal apparatus as it receives weather information and road-related information from sensor nodes connected to each other in real time.
  • the snow removal operation management apparatus may determine a priority snow removal area and an optimal amount of snow removal agent spraying based on weather information and road-related information.
  • the snow removal operation management apparatus may perform a snow removal operation based on the optimal amount of the snow removal agent applied to the determined priority snow removal area, thereby preventing an accident that may occur due to the freezing of the road in advance.
  • the snow removal operation management apparatus may perform deep learning based on big data constructed based on weather information and road-related information to determine a priority snow removal area and an optimal amount of snow removal agent spraying. Accordingly, it is possible to perform the snow removal operation with the optimum amount of spraying the snow removal agent in the snow removal area that actually requires the snow removal operation, so that the snow removal operation can be efficient.
  • FIG. 1 is a diagram illustrating a snow removal operation management system based on the Internet of Things (IoT), according to various embodiments of the present disclosure.
  • IoT Internet of Things
  • FIG. 2 is a block diagram illustrating an IoT-based snow removal operation management system according to various embodiments of the present disclosure.
  • FIG. 3 is a block diagram illustrating an apparatus for collecting snow removal information according to various embodiments of the present disclosure
  • FIG. 4 is a diagram illustrating a wireless sensor network provided as sensor nodes included in each of a plurality of snow removal information collecting devices are connected to each other through wireless communication, according to various embodiments of the present disclosure.
  • FIG. 5A is a block diagram illustrating a snow removal apparatus according to various embodiments of the present disclosure.
  • FIG. 5B is a view illustrating a snow removal apparatus, for example, a mobile snow removal apparatus and a fixed snow removal apparatus, according to various embodiments of the present disclosure
  • FIG. 6 is a block diagram illustrating an apparatus for managing snow removal according to various embodiments of the present disclosure
  • FIG. 7 is a flowchart illustrating a method of transmitting a control signal related to snow removal, according to various embodiments of the present disclosure.
  • FIG. 8 is a diagram for describing a signal flow between devices according to various embodiments of the present disclosure.
  • FIG. 9 is a diagram illustrating a snow removal operation status through a map, according to various embodiments of the present disclosure.
  • FIG. 1 is a diagram 100 illustrating a snow removal operation management system based on the Internet of Things (IoT), according to various embodiments of the present disclosure.
  • IoT Internet of Things
  • the IoT-based snow removal operation management system includes a snow removal information collection device 110 , a snow removal device, such as a mobile snow removal device (eg, a mobile snow removal vehicle 120 ), a fixed snow removal device (eg, fixed liquid spraying). system 130 , and/or a fixed eco-friendly snow removal system 140 ).
  • a snow removal device such as a mobile snow removal device (eg, a mobile snow removal vehicle 120 ), a fixed snow removal device (eg, fixed liquid spraying). system 130 , and/or a fixed eco-friendly snow removal system 140 ).
  • the snow removal information collecting device 110 may obtain weather information (eg, temperature, humidity, wind direction/wind speed, snowfall) and road-related information (eg, temperature and moisture on the road surface).
  • the snow removal information collecting device 110 may include a sensor node 115 .
  • a plurality of snow removal information collecting devices 110 may be installed in a wide area, and sensor nodes 115 included in each of the installed plurality of snow removal information collecting devices are connected to each other through wireless communication to form a network. can do. As the network is formed between the sensor nodes, the snow removal information collecting apparatus 110 may monitor the snow removal status distributed over a wide area.
  • the snow removal information collecting 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).
  • the snow removal device for example, a mobile snow removal device 120 and a fixed snow removal device (eg, a fixed liquid spray system 130, a fixed type eco-friendly snow removal system 140) to perform a snow removal operation on tunnels, bridges, roads, etc.
  • a fixed snow removal apparatus may be installed in a habitual freezing section and/or a section difficult to respond to the initial response.
  • the stationary eco-friendly snow removal system 140 may include a phase change material (PCM) eco-friendly snow removal system and/or a carbon nanotube (CNT) eco-friendly snow removal system.
  • PCM phase change material
  • CNT carbon nanotube
  • the phase change material eco-friendly snow removal system may include a system that stores surrounding heat by absorbing or emitting a lot of heat while changing a phase without changing the temperature at a specific temperature, and then discharging it when necessary.
  • the carbon nanotube eco-friendly snow removal system may include a method of using a nanomaterial with improved thermal conductivity, such as carbon nanotubes.
  • At least one of the snow removal apparatuses 120 , 130 , and 140 may receive a control signal related to a snow removal operation received from a snow removal operation management apparatus (not shown).
  • the snow removal operation management device 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 to be sprayed in the snow removal and snow removal areas requiring snow removal You can decide the type of agent and the amount of snow removal 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 for spraying the snow removal area with the determined type and amount of the snow removal agent to be sprayed.
  • the at least one snow removal device 120 , 130 , and/or 140 may spray the snow removal agent in the corresponding snow removal area based on a control signal related to the snow removal operation received from the snow removal operation management device (not shown).
  • FIG. 2 is a block diagram 200 illustrating an IoT-based snow removal operation management system according to various embodiments of the present disclosure.
  • 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 spraying system 130 , a stationary eco-friendly snow removal system 140 ), and/or a snow removal operation management device 230 .
  • 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
  • a fixed snow removal device eg, a fixed liquid spraying system 130 , a stationary eco-friendly snow removal system 140
  • a snow removal operation management device 230 e.g, a snow removal operation management device.
  • 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 .
  • the snow removal information collecting apparatus 210 may be implemented in the form of FIG. 3 to be described later, and the snow removal apparatus 220 may be implemented in the form of FIGS. 5a and 5b to be described later, and snow removal operation management The device 230 may be implemented in the form of FIG. 6 to be described later.
  • the snow removal information collecting device 110 transmits the obtained weather information (eg, temperature, humidity, wind direction/wind speed, snowfall) and road-related information (eg, temperature and moisture on the road surface) to the communication network 240 ) may be transmitted 250 to the snow removal operation management device 230 through.
  • weather information eg, temperature, humidity, wind direction/wind speed, snowfall
  • road-related information eg, temperature and moisture on the road surface
  • the snow removal apparatus 220 may include a mobile snow removal apparatus 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.
  • the present invention is not limited thereto.
  • the snow removal operation management device 230 determines the snow removal area based on the weather information and road-related information received from the snow removal information collection device 210 through the communication network 240, and sprays the determined snow removal area. You can determine the amount of snow removal agent.
  • the snow removal operation management apparatus 230 may transmit ( 255 ) a control signal related to the snow removal operation to the snow removal apparatus 220 located in the determined snow removal area.
  • the snow removal apparatus 220 may perform a snow removal operation in a corresponding area based on a control signal related to a snow removal operation received from the snow removal operation management apparatus 230 .
  • the location information obtained from the GPS may be transmitted 260 to the snow removal operation management apparatus 230 through the communication network 240 .
  • FIG. 3 is a block diagram 300 illustrating an apparatus for collecting snow removal information 210 according to various embodiments of the present disclosure.
  • 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/or a sensor node 330 (eg: sensor node 115 of FIG. 1 ).
  • the sensor unit 310 may include a weather sensor 311 and/or a load sensor 313 .
  • the weather sensor 311 may acquire weather information such as temperature, relative humidity, wind direction, wind speed, and/or amount of sunlight.
  • the weather sensor 311 may obtain weather information from a weather station.
  • the road sensor 313 may acquire road-related information such as a road surface temperature and a road surface condition.
  • road surface conditions may include wet conditions on the road surface such as dry, wet, icy, and/or thawed.
  • the road sensor 313 may include a non-contact infrared temperature sensor (not shown), and may acquire the temperature of the road surface using the non-contact infrared temperature sensor (not shown).
  • the load sensor 313 may include a lidar sensor (not shown), and may measure the amount of snow by using the lidar sensor.
  • the snow removal information collecting 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 .
  • the camera 320 may acquire a photographed image, and may transmit it to the sensor node 330 .
  • the sensor unit 310 eg, the weather sensor 311, the road sensor 313 and the camera 320 are wired or wirelessly connected to the sensor node 330 (eg, a sensor node for snow removal).
  • the sensor node 330 eg, a sensor node for snow removal.
  • the sensor node 330 may obtain weather information and road-related information obtained from the sensor unit 310 .
  • the sensor node 330 may be a node having a built-in wireless communication function.
  • a plurality of snow removal information collecting devices 110 may be installed in a wide area, and sensor nodes having a built-in wireless communication function included in each of the installed plurality of snow removal information collecting devices are connected to each other through wireless communication and configured as a wireless sensor network.
  • the sensor node 330 may be powered by a constant power source, a solar panel, or a battery type.
  • the sensor node 330 may measure whether snow is falling, the amount of vehicle traffic, and/or the moving speed of the vehicle based on the image received from the camera 320 .
  • the sensor node 330 may transmit the weather information and road-related information obtained through the sensor unit 310 to the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ).
  • the sensor node 330 may transmit, to the snow removal operation management apparatus 230 , information on the moving speed of the vehicle, the amount of vehicle traffic, and/or whether there is snow, measured based on the image received from the camera 320 .
  • FIG. 4 is a diagram 400 illustrating a wireless sensor network provided as sensor nodes included in each of a plurality of snow removal information collecting devices are connected to each other through wireless communication, according to various embodiments of the present disclosure.
  • a plurality of snow removal information collection devices may be installed in a wide area, and a sensor node ( 435) (eg, the sensor node 330 of FIG. 3 ) may be connected to each other through wireless communication to form a network.
  • the snow removal information collecting device 210 may be communicatively connected to a snow removal device (eg, the snow removal device 220 of FIG. 2 ) to configure a network (eg, a snow removal network).
  • the snow removal network is a wireless network of the sensor node 425 (eg, smart node) of the snow removal device 220 and the sensor node 435 (eg, smart base) of the snow removal information collection device 210 ). and wireless sensor networks (WSN) 420 .
  • the sensor node 435 of the snow removal information collecting device 210 is connected to the citi wifi 410, for example, the AP 415 of the city public Wi-Fi (eg, Smart Seoul Network (S-Net)), and the snow removal operation management device (eg : It is possible to communicate with the snow removal operation management device 230 of FIG. 2 .
  • the sensor node 435 of the snow removal information collecting device 210 may communicate with the snow removal operation management device 230 at a maximum of 9.6 Gbps by applying, for example, WiFi 6 .
  • the above-described type and speed of Wi-Fi is an exemplary embodiment and is not limited thereto.
  • 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, as well as efficiently deliver a large amount of information can
  • the snow removal information collection device 210 includes information acquired from the snow removal device 220 and information acquired through a sensor unit (eg, the sensor unit 310 of FIG. 3 ) of the snow removal information collection device 210 . may be collected and transmitted to the snow removal operation management device 230 .
  • the snow removal information collection device 210 may receive control information for a snow removal operation from the snow removal operation management device 230 , and transmit it to the snow removal apparatus 220 .
  • the present invention is not limited thereto, and the snow removal operation management apparatus 230 may transmit a control signal for the snow removal operation to the snow removal apparatus 220 to perform the snow removal operation.
  • 5A is a block diagram 500 illustrating a snow removal apparatus 220 according to various embodiments.
  • the snow removal apparatus (eg, the snow removal apparatus 220 of FIG. 2 ) includes a communication circuit 510 , a memory 520 , a sensor unit 530 , a display 540 , and/or a sensor node 550 . ) may be included.
  • the snow removal apparatus 220 may include a plurality of snow removal apparatuses.
  • the snow removal device 220 may include a mobile snow removal device (eg, a mobile snow removal device of FIG. 1 (eg, a mobile snow removal vehicle 120 )) and a stationary snow removal device (eg, a stationary snow removal device of FIG. 1 ) (eg, a fixed liquid phase). It may include a spraying system 130, a fixed type eco-friendly snow removal system 140).
  • the communication circuit 510 may establish a communication channel with the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) and support communication through the established communication channel.
  • the snow removal operation management apparatus eg, the snow removal operation management apparatus 230 of FIG. 2
  • the memory 520 may store weather information, snow removal operation information, and/or residual amount information of the snow removal agent.
  • the weather information may include an outside air temperature, a road surface temperature, and/or an amount of snow.
  • the memory 520 may further store information on the movable snow removal apparatus 120 .
  • the information of the mobile snow removal apparatus 120 may include location information obtained based on the speed of the mobile snow removal apparatus 120 and GPS (not shown).
  • the sensor unit 530 may include a temperature/humidity sensor 531 , a load sensor 533 , and/or a lidar sensor 535 .
  • the temperature/humidity sensor 531 may acquire the temperature and/or humidity at the current location.
  • the load sensor 533 may measure a temperature of a road surface and a road surface condition.
  • the load sensor 533 may measure the temperature of the road surface in order to remove the snow or ice the road surface in a snowy or icy state.
  • the road surface condition may include a wet state on the road surface such as dry, wet, icy, or thawed.
  • the lidar sensor 535 may measure the amount of snow.
  • the display 540 may display a priority snow removal area and an optimal amount of snow removal agent application.
  • the display 540 may display a user interface for the snow removal operation status 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 priority snow removal area and an optimal amount of snow removal agent spraying.
  • the sensor node 550 when the sensor node 550 receives a control signal related to a snow removal operation from the snow removal operation management device 230 , the sensor node 550 may spray the snow removal agent on the corresponding snow removal area based on the received control signal.
  • 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 .
  • a GPS may be further included. The GPS may acquire location information of the mobile snow removal vehicle and transmit it to the sensor node 550 .
  • snow removal device 220 for example, a movable snow removal device 120 and a fixed snow removal device 120, for example, in relation to the fixed liquid spray system 130, various embodiments will be described in Figure 5b to be described later.
  • FIG. 5B is a snow removal device 220, for example, a mobile snow removal device (eg, a mobile snow removal work vehicle 120) and a fixed snow removal device (eg, a fixed liquid spraying system 130) according to various embodiments.
  • a mobile snow removal device eg, a mobile snow removal work vehicle 120
  • a fixed snow removal device eg, a fixed liquid spraying system 130
  • the mobile snow removal device shown at reference number ⁇ 560> includes a mobile snow removal work vehicle (eg, the mobile snow removal device 120 of FIG. 1 ) that sprays a snow removal agent on a road section. can do.
  • a mobile snow removal work vehicle eg, the mobile snow removal device 120 of FIG. 1
  • sprays a snow removal agent on a road section. can do.
  • 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 work vehicle 120 may obtain information related to the mobile snow removal work vehicle 120 through a sensor unit (eg, the sensor unit 530 of FIG. 5A ).
  • the information related to the mobile snow removal work vehicle 120 obtained from the sensor unit 530 includes operation information 562, weather information 563, residual amount of snow removal information 564 of the mobile snow removal operation vehicle 120, and / or a snow removal agent application amount 565 may be included.
  • the driving information 562 of the mobile snow removal work vehicle 120 includes speed information of the mobile snow removal work vehicle 120 obtained through a speed sensor and the mobile snow removal work vehicle 120 obtained through GPS (not shown). Location information may be included.
  • the weather information 563 includes temperature information obtained through a temperature/humidity sensor (eg, the temperature/humidity sensor 531 of FIG. 5A ) and a road surface obtained through a load sensor (eg, the load sensor 533 of FIG. 5A ). It may include temperature and/or snow load obtained through a lidar sensor (eg, lidar sensor 535 of FIG. 5A ).
  • the mobile snow removal vehicle 120 may further include a non-contact infrared temperature sensor, and may acquire a road surface temperature through the non-contact infrared temperature sensor.
  • the non-contact infrared temperature sensor and the lidar sensor 535 may be installed at the front end of the mobile snow removal vehicle 120 .
  • the sensor node 561 of the mobile snow removal work vehicle 120 may obtain information 564 on the amount of snow removal agent remaining.
  • the snow remover may include a solid snow remover and/or a liquid snow remover.
  • the sensor node 561 of the mobile snow removal work vehicle 120 may obtain information on the remaining amount of the solid snow removal agent using the lidar sensor 535, and may obtain information on the remaining amount of the liquid snow removal agent using a water pressure gauge. have.
  • the sensor node 561 of the mobile snow removal operation vehicle 120 receives a control signal 566 related to a snow removal operation from a snow removal operation management device (eg, the snow removal operation management apparatus 230 of FIG. 2 ). , based on this, it is possible to spray the snow removal agent in the relevant snow removal area.
  • the control signal 566 related to the snow removal operation may include a first snow removal area and an amount of snow removal agent applied.
  • the sensor node 561 of the mobile snow removal work vehicle 120 may measure the amount of the solid snow removal agent applied based on the rotation amount (rpm) of the driving motor.
  • the sensor node 561 of the mobile snow removal operation vehicle 120 may measure the amount of liquid snow removal agent sprayed by using a flow meter of the nozzle.
  • the sensor node 561 of the mobile snow removal operation vehicle 120 may control the amount of snow removal agent spraying in consideration of a road surface condition, for example, a snow removal width (eg, a lane (or lane)).
  • a snow removal width eg, a lane (or lane)
  • the sensor node 570 of the mobile snow removal apparatus vehicle 120 may transmit the snow removal operation status being performed to the snow removal operation management apparatus 230 .
  • the sensor node 561 of the mobile snow removal work vehicle 120 includes the obtained information related to the mobile snow removal work vehicle 120 (eg, operation information 562 of the mobile snow removal work vehicle 120 , weather information). 563 , information on the residual amount of the snow removal agent 564 , and the amount of spraying the snow removal agent 565 ) may be stored in a memory (eg, the memory 520 of FIG. 5A ).
  • the sensor node 561 of the mobile snow removal operation vehicle 120 may display a user interface related to the snow removal operation on the display 540 .
  • the user of the mobile snow removal operation vehicle 120 may control the snow removal operation through a user interface related to the snow removal operation displayed on the display 540 .
  • the fixed snow removal apparatus shown by reference number ⁇ 580> may include a fixed liquid spraying system (eg, the fixed liquid spraying system 130 of FIG. 1).
  • the present invention is not limited thereto, and the fixed snow removal apparatus may include a fixed type eco-friendly snow removal system (eg, the fixed type eco-friendly snow removal system 140 of FIG. 1 ).
  • the fixed liquid dispersion 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 dispersion system 130 may acquire information related to the fixed liquid dispersion system 130 through a sensor unit (eg, the sensor unit 530 of FIG. 5A ).
  • the information related to the fixed liquid spraying system 130 obtained from the sensor unit 530 may include a snow removal agent application amount 582 , weather information 583 , and/or snow removal agent residual amount information 584 .
  • the weather information 583 includes temperature information obtained through the temperature/humidity sensor 531 , the road surface temperature obtained through the load sensor 533 , and/or the amount of snow obtained through the lidar sensor 535 . can do. It is not limited thereto, and the fixed liquid dispersion system 130 may further include a non-contact infrared temperature sensor. The fixed liquid dispersion system 130 may acquire the road surface temperature through a non-contact infrared temperature sensor.
  • the sensor node 581 of the fixed liquid spraying system 130 may obtain information on the residual amount of snow removal agent 584 , for example, information on the amount of residual amount of the liquid snow removal agent.
  • the fixed liquid dispersion system 130 may include a storage tank. Information on the remaining amount of the liquid snow removal agent stored in the storage tank may be obtained using a hydraulic pressure gauge.
  • the sensor node 581 of the fixed liquid dispersion system 130 may communicate with the snow removal operation management device 230 .
  • the sensor node 581 of the fixed liquid spraying 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 ), based on this, the liquid phase You can spray snow remover.
  • the control signal 585 related to the snow removal operation may include an amount of liquid snow removal agent applied.
  • the fixed liquid spraying system 130 may include a nozzle, and may measure and control the spraying amount of the liquid snow removal agent through the nozzle.
  • the fixed liquid spraying system 130 may be installed in a section in which it is difficult to respond in an initial response, such as a section where snow removal is weak and/or a section where ice is habitually generated.
  • the section in which the fixed liquid spraying system 130 (or the fixed eco-friendly snow removal system 140) is installed is, for example, a bridge entrance/exit road, a ramp section, an overpass, an overpass, an underpass, and a slope section at the start/end point of the downtown tunnel (eg: slope of 3% or more), and/or a pass along the boundary between local governments.
  • FIG. 6 is a block diagram 600 illustrating a snow removal operation management apparatus 230 according to various embodiments of the present disclosure.
  • the snow removal operation management apparatus may be a device for integrated management of the snow removal operation.
  • the snow removal operation management device 230 may detect whether snowfall occurs, predict a road surface condition, optimize the amount of snow removal agent applied, and provide snow removal operation status information to users (eg, snow removal managers and/or citizens). have.
  • the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) includes a communication circuit 610 , a memory 620 , a display 630 , and/or a processor 640 . can do.
  • the communication circuit 610 establishes a communication channel with a snow removal information collection device (eg, the snow removal information collection device 210 of FIG. 2 ) and/or a snow removal device (eg, the snow removal device 220 of FIG. 2 ) It can be established and support performing communication through the established communication channel.
  • the communication circuit 610 may include a wireless communication module (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module).
  • GNSS global navigation satellite system
  • a corresponding communication module among these communication modules is removed through a short-distance communication network such as Bluetooth, WiFi direct, or IrDA (infrared data association) or a telecommunication network such as a cellular network, the Internet, or a computer network (eg, LAN or WAN). It may communicate with the information collection device 210 and/or the snow removal device 220 .
  • a short-distance communication network such as Bluetooth, WiFi direct, or IrDA (infrared data association) or a telecommunication network such as a cellular network, the Internet, or a computer network (eg, LAN or WAN).
  • the memory 620 may include a database 621 .
  • the database 621 may include, for example, a weather information database 621a, a road information database 621b, and/or a snow removal device location database 621c.
  • the weather information database 621a may include real-time weather information for a corresponding location received from each of the plurality of snow removal information collecting devices.
  • the road information database 621b may store the width of the road, the number of lanes, and/or the direction of the road.
  • the snow removal apparatus location database 621c may store location information received from a snow removal apparatus, for example, each of a plurality of mobile snow removal apparatuses.
  • the snow removal apparatus location database 621c may store location information of a snow removal apparatus, for example, a plurality of fixed snow removal apparatuses.
  • the database 621 accumulates and stores the snow removal zone determined by the processor 640 and the optimal amount of the snow removal agent to be applied to the snow removal zone database 621d and the optimal snow removal agent application amount database 621e ) may be further included.
  • the display 630 may display the snow removal area determined under the control of the processor 640 and the optimum snow removal agent application amount based on a geographic information system for transportation (GIS-T). In an embodiment, the display 630 may display a screen regarding the snow removal operation status performed in a specific area under the control of the processor 640 .
  • GIS-T geographic information system for transportation
  • 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/or a snow removal operation providing unit 649 . ) may be included.
  • the information collection unit 641 receives the weather information and road-related information from the snow removal information collection device 210 and receives 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 the location information from the snow removal apparatus 220 and store it in the database 621 (eg, the snow removal apparatus location database 621c).
  • the road condition monitoring unit 643 of the processor 640 includes weather information and road-related information (eg, road road conditions (eg road conditions such as icing and snow) can be monitored based on the surface condition).
  • road-related information eg, road road conditions (eg road conditions such as icing and snow) can be monitored based on the surface condition).
  • the snow removal operation determining unit 645 of the processor 640 preferentially performs the snow removal operation. (eg zone) can be determined.
  • the snow removal operation determining unit 645 may determine, based on the monitoring result, an area where the snowfall amount exceeds a specified value and the road surface temperature is below the specified value as a place to preferentially perform the snow removal operation.
  • the snow removal operation determining unit 645 preferentially selects an area determined to be a vulnerable road snow removal area 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 621b. can be determined as a place to carry out snow removal operations.
  • road information eg, the width of the road, the number of lanes, the direction of the road
  • the processor 640 may receive an image obtained 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 the video image received from the tens of snow removal information devices 210 to determine whether snowfall or rainfall has occurred. For example, the processor 640 may divide the pixels of the video image and correct the error according to a rule selected based on the luminance and size of the divided pixels.
  • the processor 640 may calculate a direction histogram for the stripes of each pixel, and may detect a pixel of snowfall or rainfall based on the calculated direction histogram.
  • the processor 640 may acquire a video image from the snow removal information collecting device 210 at a specified time interval, and determine whether snowfall or rainfall occurs based on the video image acquired at a specified time interval. have.
  • the processor 640 may analyze the video image to detect a vehicle and predict information on a traffic situation (eg, the number of vehicles passing, vehicle speed). For example, the processor 640 detects a vehicle by performing difference filtering, background subtraction, image segmentation, lamp suppression (eg, in case of night), shadow suppression (eg, in case of day), and/or contour extraction on the obtained video image can do.
  • a parameter for detecting a vehicle may be predefined and pre-stored in the memory 620 .
  • parameters for detecting a vehicle may include virtual coil generation, line sensing parameters, thresholds, and/or night sensing areas.
  • the processor 640 may calculate the congestion of the vehicle and the number of vehicles passing by using the parameter for detecting the vehicle.
  • the parameter may be set manually by the user, or may be set automatically.
  • the road condition monitoring unit 643 may calculate a road surface temperature prediction model based on a heat-balance equation, and deep learning the time series data calculated from the road surface temperature prediction model. can predict the condition of the road surface.
  • the road condition monitoring unit 643 may calculate an energy flow on the road surface and vertical heat transfer between the road surface and the atmosphere based on the energy balance law.
  • the road condition monitoring unit 643 may include meteorological information (eg, temperature, humidity, wind direction/speed, snowfall) and road-related information (eg, temperature and moisture on the road surface) obtained from the snow removal information collecting device 210 . ) can be applied to the energy balance law model to calculate a numerical solution.
  • the road condition monitoring unit 643 may predict a road condition, for example, an atmospheric temperature, a road surface temperature, and/or a road condition through a road surface condition prediction model based on the energy balance equation.
  • the snow removal operation determination unit 645 of the processor 640 is a big snow removal operation accumulated in the database 621 (eg, the snow removal area database 621d and the optimal snow removal agent application amount database 621e). By analyzing big data in a deep learning method, it is possible to determine a snow removal area first
  • the snow removal operation determining unit 645 may determine an optimal amount of the snow removal agent to be sprayed on a place (eg, an area) to perform the determined snow removal operation. For example, the snow removal operation determining unit 645 may determine the optimal amount of spraying the snow removal agent by calculating the heat transfer equation as a governing equation. The snow removal operation determining unit 645 may calculate the optimal amount of snow removal by using the snow removal agent to melt the snow using the heat transfer equation following the energy flow law as the governing equation. Sensing information that can be substituted into the heat transfer equation includes external conditions such as weather conditions (eg, temperature, relative humidity, wind direction, wind speed, and/or sunlight), road surface conditions (eg, road surface temperature, road surface function state), and snow load.
  • weather conditions eg, temperature, relative humidity, wind direction, wind speed, and/or sunlight
  • road surface conditions eg, road surface temperature, road surface function state
  • the snow removal operation determining unit 645 may determine the amount of snow removal agent sprayed according to the target snow removal time and performance by substituting an external condition into the heat transfer equation.
  • the heat transfer equation is a deterministic method using a functional formula, and the amount of snow removal can be calculated by solving one equation.
  • the snow removal operation determining unit 645 may determine the amount of snow removal by using deep learning for an input value and a target value (eg, a snow removal amount). 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 with big data.
  • the input value may include a weather condition, a road surface condition, and an amount of snow required for solving the heat transfer equation
  • the target value may include an amount of snow removal agent applied. 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 can be improved. If the amount of spraying of the snow remover over time is expressed as a time series value, it may also be possible to predict the amount of spraying of the snow remover.
  • a method of constructing big data may include bare pavement status (BPS) and bare pavement regain time (BPRT).
  • BPS bare pavement status
  • BPRT bare pavement regain time
  • the snow removal operation determining unit 645 may take pictures over time after spraying the snow removal agent, and calculate the snowmelt area compared to the overall area through image analysis.
  • BPRT can be defined as the time elapsed from spraying the snow removal agent on a specific road area until the percentage of the area completely removed from snow reaches 80%. It is possible to measure the elapsed time until the BPS reaches 80% by shooting a video after spraying the snow remover.
  • the snow removal operation determining unit 645 may build big data using the above-described BPS and BPRT, and determine the amount of snow removal agent spraying based thereon.
  • the snow removal operation determining unit 645 may determine the priority snow removal area based on the optimal amount of snow removal and the geographic traffic information system.
  • the optimal snow removal agent application amount may be determined based on weather information, road-related information, and/or snow load amount.
  • Geographic information on the city's traffic network may be stored in the memory 620 in advance as a traffic geographic information system.
  • the city's transportation network 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 the priority snow removal area through the optimal amount of snow removal and network analysis of the transportation network of the transportation geographic information system.
  • Network analysis can mean calculating the arrival time based on the road network, and functions such as the vehicle's route, the distance from the current point to the nearest facility, the service area of a specific building, route analysis of multiple vehicles, and traffic volume estimation.
  • the GIS may consist of a transportation network, flows, topographic information, and/or land use patterns.
  • the GIS may analyze and visualize traffic networks, flows, topographic information, and/or land use information.
  • the data model for the GIS may consist of vector data of a road network and raster data of a grid for terrain. In order to determine a snow removal zone, vector data for a road network of a corresponding city (eg, Seoul) may be pre-stored in the memory 620 .
  • the ID and length of each shape can be defined in advance, and the area, width, and characteristics of each shape can be automatically calculated or separately input based on this.
  • Network analysis may include turning conditions at intersections.
  • the snow removal operation determining unit 645 may determine the priority snow removal area by network analysis of attribute information (eg, length, driving speed, and/or intersection rotation restriction) defined for each intersection and road.
  • the processor 640 may transmit a control signal for performing a snow removal operation to at least one snow removal apparatus located in the snow removal area determined by the snow removal operation determination unit 645 .
  • the processor 640 may also transmit the determined optimal amount of spraying the snow remover together with the control signal.
  • the snow removal operation monitoring unit 647 of the processor 640 may monitor the snow removal operation performed by at least one snow removal apparatus.
  • the processor 640 may receive the snow removal operation state status information performed by the snow removal device 220 from the snow removal information collecting device 210, and based on this, the operation status of the snow removal operation site may be monitored in real time. .
  • the processor 640 performs monitoring by the snow removal operation monitoring unit 647 , and adjusts the snow removal operation of the snow removal apparatus based on weather information and road-related information received from the snow removal information collection device 210 .
  • the processor 640 may variably adjust a liquid spraying amount, a spraying distance, a spraying method, and a spraying time of the snow removal apparatus.
  • the snow removal operation providing unit 649 of the processor 640 may provide information related to the snow removal operation based on information obtained from the snow removal information collecting device 210 and/or the snow removal apparatus 220 . .
  • the snow removal operation providing unit 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 information on the snow removal status on a web-based basis. As the snow removal status information is visualized and displayed on the display 630 and/or provided on a web-based basis, the snow removal manager and users using the web can check the snow removal operation status and traffic information in real time.
  • the snow removal status information provided by visualization may further include maintenance area selection, precipitation warning for each road type, map display information selection, radar sensor-based air temperature information, point and area display information, and/or observation and prediction information. can
  • FIG. 7 is a flowchart 700 for explaining a method of transmitting a control signal related to snow removal, according to various embodiments.
  • the snow removal operation management device receives weather information from the snow removal information collection device (eg, the snow removal information collection device 210 of FIG. 2 ) in operation 710 ). and road-related information.
  • the weather information may include temperature, relative humidity, wind direction, wind speed, and/or amount of sunlight
  • the road-related information may include a temperature of a road surface and a road surface condition (eg, a wet state of the road surface).
  • the snow removal operation management apparatus 230 may check a road condition (eg, dryness, icing, thawing, snow load) based on weather information and road-related information in operation 720 .
  • a road condition eg, dryness, icing, thawing, snow load
  • the snow removal operation management apparatus 230 may determine 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 condition. For example, the snow removal operation management apparatus 230 may determine an area where the snowfall amount exceeds a specified value and the temperature of the road surface is below the specified value as a place to preferentially perform the snow removal operation, based on the checked road condition. As another example, the snow removal operation management device 230 is based on the 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 ).
  • the road information database eg, the road information database 621b of FIG. 6 .
  • An area judged to be an area vulnerable to snow removal on the road may be determined as a place to perform a snow removal operation with priority.
  • the snow removal operation management device 230 includes big data (eg, a snow removal area database 621d) and an optimal snow removal agent application amount database 621e constructed based on information obtained from the snow removal information collection device 210 . )), a deep neural network (DNN) may be used to perform deep learning to determine the snow removal area and the amount of the snow removal agent to be applied to the snow removal area.
  • big data eg, a snow removal area database 621d
  • an optimal snow removal agent application amount database 621e constructed based on information obtained from the snow removal information collection device 210 .
  • a deep neural network DNN
  • the snow removal operation management apparatus 230 may further determine the type of the snow removal agent to be sprayed based on road-related information.
  • road-related information may include properties of the road, such as erosion-prone roads, hills, tunnels, and/or intersections.
  • the present invention is not limited thereto.
  • the snow removal operation management apparatus 230 may determine the type of snow removal agent to be sprayed based on road-related information, for example, whether the road is a corrosive road.
  • the snow removal operation management device 230 may determine the snow removal agent to spray sand so as not to slip on the uphill road in consideration of this.
  • the snow removal operation management apparatus 230 may further determine a snow removal operation to be performed by the snow removal apparatus 220 .
  • Snow removal operations may include push snow removal, blower snow removal, and/or transport snow removal.
  • the snow removal operation management apparatus 230 may transmit a control signal related to the snow removal operation to at least one snow removal apparatus located in the snow removal area.
  • the snow removal operation management device 230 transmits the determined amount of the snow removal agent to be sprayed to the snow removal apparatus, and then displays a screen for the snow removal operation status performed in a specific area (eg, the display 630 of FIG. 6 ) )) can be indicated.
  • the snow removal operation management device 230 monitors the snow removal operation status, and adjusts the snow removal operation of the snow removal apparatus based on weather information and road-related information received from the snow removal information collection device 210 .
  • FIG. 8 is a diagram 800 for explaining a signal flow between devices according to various embodiments of the present disclosure.
  • the snow removal information collection apparatus may acquire weather information and road-related information in operation 810 .
  • the snow removal information collecting device 210 may transmit weather information and road-related information to the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) in operation 820 .
  • the snow removal operation management device 230 determines, in operation 830 , the amount of the snow removal agent to be sprayed on the snow removal area and the snow removal zone based on the weather information and road-related information obtained from the snow removal information collection device 210 .
  • the snow removal operation management device 230 checks the road conditions (eg, dryness, icing, thawing, snow load) based on weather information and road-related information, and based on this, the snow removal area and the snow removal area to perform the snow removal operation. It is possible to determine the amount of snow removal agent to be sprayed.
  • the snow removal operation management apparatus 230 may transmit the determined amount of the snow removal agent to the snow removal apparatus located in the determined snow removal area in operation 840 .
  • the snow removal apparatus 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 .
  • the snow removal apparatus 220 may obtain location information of the snow removal apparatus 220 .
  • the snow removal operation management apparatus 230 may further consider the location information of the snow removal apparatus 220 received from the snow removal apparatus 220 to first determine the snow removal area and the amount of the snow removal agent to be sprayed in the snow removal area.
  • FIG. 9 is a view 900 illustrating a snow removal operation status through a map, according to various embodiments of the present disclosure.
  • the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2 ) checks the road condition based on the 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 in which the snow removal operation is to be performed and the amount of the snow removal agent to be applied to the snow removal area.
  • the snow removal operation management apparatus 230 may transmit a control signal related to the snow removal operation to at least one snow removal apparatus located in the snow removal area.
  • the snow removal operation management device 230 transmits the determined amount of the snow removal agent to the snow removal apparatus, and then displays a screen for the snow removal operation status 910 performed in a specific area (eg, the display of FIG. 630)) can be indicated.
  • the screen for the snow removal operation status 910 may include a route and a snow removal operation schedule of a snow removal device, for example, a mobile snow removal vehicle (eg, the mobile snow removal 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 snow amount information, road surface temperature information, traffic amount information, and/or road shape.
  • the user of the snow removal operation management apparatus 230 may monitor the current snow removal operation status 910 performed by at least one snow removal apparatus in real time.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Computing Systems (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Structural Engineering (AREA)
  • Architecture (AREA)
  • General Business, Economics & Management (AREA)
  • Civil Engineering (AREA)
  • Primary Health Care (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Marketing (AREA)
  • Multimedia (AREA)
  • Human Resources & Organizations (AREA)
  • Toxicology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Operations Research (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Traffic Control Systems (AREA)
  • Cleaning Of Streets, Tracks, Or Beaches (AREA)

Abstract

A snow removal operation management system according to various embodiments of the present invention may comprise a communication circuit, a plurality of snow removal information collecting devices, a plurality of snow removal devices, and a snow removal operation management device. The snow removal operation management device may be configured to: receive weather information and road-related information relating to positions of the plurality of snow removal information collecting devices from the plurality of snow removal information collecting devices through the communication circuit; check a road condition on the basis of the weather information and the road-related information; on the basis of the checked road condition, determine a snow removal region to be snow-removed with priority and a type and an amount of a deicing agent to be distributed onto the determined snow removal region; and through the communication circuit, transmit a control signal related to the snow removal operation including the type and the amount of the deicing agent to be distributed onto the determined snow removal region to at least one snow removal device, among the plurality of snow removal devices, which is located on the determined snow removal region.

Description

IOT(INTERNET OF THINGS)를 이용한 제설 작업 관리 시스템 Snow removal operation management system using IOT (INTERNET OF THINGS)
본 발명의 다양한 실시예는 IoT(internet of things)를 이용한 제설 작업 관리 시스템에 관한 것이다.Various embodiments of the present invention relate to a snow removal operation management system using the Internet of Things (IoT).
겨울철에 눈이 내리는 경우 도로에 눈이 쌓이거나 결빙될 수 있으며, 이에 따라 차량 사고와 보행자의 안전 사고가 발생할 수 있다. 이러한 사고를 방지하기 위해 제설 장치는 도로에 쌓인 눈을 제설하는 작업을 수행할 수 있다. 예컨대, 제설 장치는 기상 정보를 통해 강설이 예상되는 경우 기온과 적설량에 미리 매핑된 제설제 살포량에 기반하여 제설제를 살포하여, 제설 작업을 수행할 수 있다. When it snows in winter, snow may accumulate or freeze on the road, which may cause vehicle accidents and pedestrian safety accidents. In order to prevent such an accident, the snow removal device may perform the operation of removing snow accumulated on the road. For example, when snowfall is expected through weather information, the snow removal apparatus may spray the snow removal agent based on the snow removal amount previously mapped to the temperature and the snow load amount to perform the snow removal operation.
제설 작업을 관리하는 시스템은 기상 정보에 기반하여 제설 작업 계획을 생성하고, 생성된 제설 작업 계획에 따라 특정 지역의 터널, 교량, 또는 도로에 제설 작업을 수행하도록, 각각의 제설 차량에 제설 작업 지시를 전송할 수 있다. 제설 작업을 관리하는 시스템은 각 제설 차량으로부터 제설 작업 상태에 대한 정보를 수신하고, 제설 작업에 대해 실시간으로 모니터링 할 수 있다.The snow removal operation management system generates a snow removal operation plan based on weather information, and instructs each snow removal vehicle to perform snow removal operation on a tunnel, bridge, or road in a specific area according to the created snow removal operation plan. can be transmitted. The system for managing the snow removal may receive information on the snow removal operation status from each snow removal vehicle and monitor the snow removal operation in real time.
하지만, 예상되는 기상 정보는 실제와 상이할 수 있으며, 이에 따라 기온과 적설량에 미리 매핑된 제설제 살포량에 기반하여 제설제를 살포하는 경우, 제설 작업은 효율적이지 않을 수 있다. 다시 말해, 광범위한 영역에 대한 기상 정보 및 노면의 상태를 실시간으로 파악할 수 없음에 따라, 실질적으로 제설 작업이 필요한 제설 구역에 제설 작업을 수행할 수 없을 수 있으며, 제설 구역에 살포할 제설제의 양 또한 적절하지 않을 수 있다.However, the expected weather information may be different from the actual one, and accordingly, when the snow removal operation is applied based on the snow removal amount previously mapped to the temperature and snow load, the snow removal operation may not be efficient. In other words, as it is not possible to grasp the weather information and road conditions for a wide area in real time, it may not be possible to carry out snow removal work in the snow removal area that actually requires snow removal operation, and the amount of snow removal agent to be applied to the snow removal area It may also not be appropriate.
본 발명의 다양한 실시예들에 따른 제설 작업 관리 장치는, IoT를 이용하여 서로 연결된 센서 노드들로부터 수신되는 기상 정보 및 도로 관련 정보에 기반하여 제설 작업을 수행할 제설 구역과 제설 장치들을 통합하여 관리할 수 있다.Snow removal operation management apparatus according to various embodiments of the present invention, based on weather information and road-related information received from sensor nodes connected to each other using IoT, integrates and manages a snow removal area and snow removal apparatuses to perform a snow removal operation can do.
본 발명의 다양한 실시예들에 따른 제설 작업 관리 장치는, IoT를 이용하여 서로 연결된 센서 노드들로부터 수신되는 기상 정보 및 도로 관련 정보에 기반하여 빅 데이터를 구축할 수 있다. 제설 작업 관리 장치는, 구축된 빅 데이터를 기반으로 심층신경망(deep neural network; DNN)을 이용하여 딥 러닝을 수행하여 우선적으로 제설 작업을 수행해야 할 구역 및 제설 작업을 수행해야 할 구역에 살포할 최적의 제설제 살포량을 결정할 수 있다.The snow removal operation management apparatus 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 operation management device performs deep learning using a deep neural network (DNN) based on the built big data to first spray the area to be snow-removed and the area to be snow-removed. It is possible to determine the optimal amount of snow removal agent applied.
본 발명의 다양한 실시예들에 따른 제설 작업 관리 시스템은, 통신 회로, 복수의 제설 정보 수집 장치들, 복수의 제설 장치들, 및 제설 작업 관리 장치를 포함하며, 상기 제설 작업 관리 장치는, 상기 통신 회로를 통해, 상기 복수의 제설 정보 수집 장치들로부터 상기 복수의 제설 정보 수집 장치들의 위치에 대한 기상 정보 및 도로 관련 정보를 수신하고, 상기 기상 정보 및 상기 도로 관련 정보에 기반하여 도로 상태를 확인하고, 상기 확인된 도로 상태에 기반하여, 우선적으로 제설 작업을 수행할 제설 구역 및 상기 제설 구역에 살포할 제설제의 종류와 제설제의 양을 결정하고, 및 상기 통신 회로를 통해, 상기 결정된 제설 구역에 살포할 상기 제설제의 종류 및 상기 제설제의 양을 포함하는 상기 제설 작업과 관련된 제어 신호를, 상기 복수의 제설 장치들 중 상기 결정된 제설 구역에 위치하는 적어도 하나의 제설 장치에 송신하도록 설정될 수 있다.A snow removal operation management system according to various embodiments of the present disclosure includes a communication circuit, a plurality of snow removal information collection devices, a plurality of snow removal devices, and a snow removal operation management device, wherein the snow removal operation management device includes the communication circuit Receive weather information and road-related information on the locations of the plurality of snow-removing information collecting devices from the plurality of snow-removing information collecting devices through a circuit, and confirming a road condition based on the weather information and the road-related information, , based on the identified road conditions, determine a snow removal area to preferentially perform a snow removal operation and a type and amount of a snow removal agent to be applied to the snow removal zone, and through the communication circuit, determine the determined snow removal zone Set to transmit a control signal related to the snow removal operation including the type of the snow removal agent to be sprayed on the snow and the amount of the snow removal agent to at least one snow removal apparatus located in the determined snow removal area among the plurality of snow removal apparatuses can
본 발명의 다양한 실시예들에 따른 제설 작업 관리 장치는, IoT를 이용하여 다양한 장소에 설치된 센서 노드들로부터 기상 정보 및 도로 관련 정보를 실시간으로 수신할 수 있다. 제설 작업 관리 장치는, 서로 연결된 센서 노드들로부터 실시간으로 기상 정보 및 도로 관련 정보를 수신함에 따라 제설 장치를 이용하여 제설 작업을 통합적이고 효율적으로 관리할 수 있다.The snow removal operation management apparatus according to various embodiments of the present disclosure may receive weather information and road-related information from sensor nodes installed in various places in real time using IoT. The snow removal operation management apparatus may integrally and efficiently manage the snow removal operation by using the snow removal apparatus as it receives weather information and road-related information from sensor nodes connected to each other in real time.
본 발명의 다양한 실시예들에 따른 제설 작업 관리 장치는, 기상 정보 및 도로 관련 정보에 기반하여 우선 제설 구역과 최적의 제설제 살포량을 결정할 수 있다. 제설 작업 관리 장치는, 결정된 우선 제설 구역에 최적의 제설제 살포량에 기반하여 제설 작업을 수행함으로써, 도로의 결빙에 따라 발생될 수 있는 사고를 사전에 방지할 수 있다. The snow removal operation management apparatus according to various embodiments of the present disclosure may determine a priority snow removal area and an optimal amount of snow removal agent spraying based on weather information and road-related information. The snow removal operation management apparatus may perform a snow removal operation based on the optimal amount of the snow removal agent applied to the determined priority snow removal area, thereby preventing an accident that may occur due to the freezing of the road in advance.
본 발명의 다양한 실시예들에 따른 제설 작업 관리 장치는, 기상 정보 및 도로 관련 정보에 기반하여 구축된 빅 데이터를 기반으로 딥 러닝을 수행하여 우선 제설 구역 및 최적의 제설제 살포량을 결정할 수 있다. 이에 따라, 실질적으로 제설 작업이 필요한 제설 구역에 최적의 제설제 살포량으로 제설 작업을 수행할 수 있어, 제설 작업이 효율적일 수 있다.The snow removal operation management apparatus according to various embodiments of the present disclosure may perform deep learning based on big data constructed based on weather information and road-related information to determine a priority snow removal area and an optimal amount of snow removal agent spraying. Accordingly, it is possible to perform the snow removal operation with the optimum amount of spraying the snow removal agent in the snow removal area that actually requires the snow removal operation, so that the snow removal operation can be efficient.
도 1은, 다양한 실시예들에 따른, IoT(internet of things) 기반의 제설 작업 관리 시스템을 도시한 도면이다.1 is a diagram illustrating a snow removal operation management system based on the Internet of Things (IoT), according to various embodiments of the present disclosure.
도 2는, 다양한 실시예들에 따른, IoT 기반의 제설 작업 관리 시스템을 도시한 블록도이다.2 is a block diagram illustrating an IoT-based snow removal operation management system according to various embodiments of the present disclosure.
도 3은, 다양한 실시예들에 따른, 제설 정보 수집 장치를 도시한 블록도이다.3 is a block diagram illustrating an apparatus for collecting snow removal information according to various embodiments of the present disclosure;
도 4는, 다양한 실시예들에 따른, 복수의 제설 정보 수집 장치들 각각에 포함된 센서 노드가 무선 통신으로 서로 연결됨에 따라 제공되는 무선 센서 네트워크를 도시한 도면이다.4 is a diagram illustrating a wireless sensor network provided as sensor nodes included in each of a plurality of snow removal information collecting devices are connected to each other through wireless communication, according to various embodiments of the present disclosure.
도 5a는, 다양한 실시예들에 따른, 제설 장치를 도시한 블록도이다.5A is a block diagram illustrating a snow removal apparatus according to various embodiments of the present disclosure;
도 5b는, 다양한 실시예들에 따른, 제설 장치 예컨대, 이동형 제설 장치 및 고정형 제설 장치를 도시한 도면이다.5B is a view illustrating a snow removal apparatus, for example, a mobile snow removal apparatus and a fixed snow removal apparatus, according to various embodiments of the present disclosure;
도 6은, 다양한 실시예들에 따른, 제설 작업 관리 장치를 도시한 블록도이다.6 is a block diagram illustrating an apparatus for managing snow removal according to various embodiments of the present disclosure;
도 7은, 다양한 실시예들에 따른, 제설과 관련된 제어 신호를 송신하는 방법을 설명하기 위한 흐름도이다.7 is a flowchart illustrating a method of transmitting a control signal related to snow removal, according to various embodiments of the present disclosure.
도 8은, 다양한 실시예들에 따른, 장치들 간 신호 흐름을 설명하기 위한 도면이다.8 is a diagram for describing a signal flow between devices according to various embodiments of the present disclosure;
도 9는, 다양한 실시예들에 따른, 지도를 통해 제설 작업 현황을 도시한 도면이다.9 is a diagram illustrating a snow removal operation status through a map, according to various embodiments of the present disclosure;
도 1은, 다양한 실시예들에 따른, IoT(internet of things) 기반의 제설 작업 관리 시스템을 도시한 도면(100)이다.1 is a diagram 100 illustrating a snow removal operation management system based on the Internet of Things (IoT), according to various embodiments of the present disclosure.
도 1을 참조하면, IoT 기반의 제설 작업 관리 시스템은 제설 정보 수집 장치(110), 제설 장치 예컨대, 이동형 제설 장치(예: 이동형 제설 작업 차량(120)), 고정형 제설 장치(예: 고정형 액상살포시스템(130), 및/또는 고정형 친환경 제설시스템(140))를 포함할 수 있다.Referring to FIG. 1 , the IoT-based snow removal operation management system includes a snow removal information collection device 110 , a snow removal device, such as a mobile snow removal device (eg, a mobile snow removal vehicle 120 ), a fixed snow removal device (eg, fixed liquid spraying). system 130 , and/or a fixed eco-friendly snow removal system 140 ).
일 실시예에서, 제설 정보 수집 장치(110)는 기상 정보(예: 기온, 습도, 풍향/풍속, 강설 여부)와 도로 관련 정보(예: 도로 표면에 대한 온도, 수분)를 획득할 수 있다. 제설 정보 수집 장치(110)는 센서 노드(115)를 포함할 수 있다. 일 실시예에서, 제설 정보 수집 장치(110)는 광범위한 지역 내에 복수 개 설치될 수 있으며, 설치된 복수의 제설 정보 수집 장치들 각각에 포함된 센서 노드(115)는 무선 통신으로 서로 연결되어 망을 형성할 수 있다. 센서 노드들 간에 망이 형성됨에 따라 제설 정보 수집 장치(110)는 광역적으로 분포된 제설 현황을 모니터링 할 수 있다.In an embodiment, the snow removal information collecting device 110 may obtain weather information (eg, temperature, humidity, wind direction/wind speed, snowfall) and road-related information (eg, temperature and moisture on the road surface). The snow removal information collecting device 110 may include a sensor node 115 . In one embodiment, a plurality of snow removal information collecting devices 110 may be installed in a wide area, and sensor nodes 115 included in each of the installed plurality of snow removal information collecting devices are connected to each other through wireless communication to form a network. can do. As the network is formed between the sensor nodes, the snow removal information collecting apparatus 110 may monitor the snow removal status distributed over a wide area.
일 실시예에서, 제설 정보 수집 장치(110)는 위치하는 장소의 기상 정보 및 도로 관련 정보를 획득하고, 이를 제설 작업 관리 장치(미도시)에 송신할 수 있다.In an embodiment, the snow removal information collecting 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).
일 실시예에서, 제설 장치 예컨대, 이동형 제설 장치(120) 및 고정형 제설 장치(예: 고정형 액상살포시스템(130), 고정형 친환경 제설시스템(140))은 터널, 교량, 도로 등에 제설 작업을 수행하기 위해 제설 작업 관리 장치(미도시)와 통신을 수행할 수 있다. 예컨대, 고정형 제설 장치는 상습 결빙 구간 및/또는 초동 대응 어려운 구간에 설치될 수 있다. 고정형 제설 장치 중 고정형 친환경 제설시스템(140)은 상변화물질(phase change material, PCM) 친환경 제설 시스템 및/또는 탄소나노튜브(carbon nanotube, CNT) 친환경 제설 시스템을 포함할 수 있다. 상변화물질 친환경 제설 시스템은 특정한 온도에서 온도의 변화 없이 상(phase)이 변하면서 많은 열을 흡수 또는 방출하는 방식을 이용하여 주위의 열을 저장하였다가 필요할 때 방출하는 시스템을 포함할 수 있다. 탄소나노튜브 친환경 제설 시스템은 탄소나노튜브와 같은 열전도도가 향상된 나노 재료를 이용하는 방식을 포함할 수 있다.In one embodiment, the snow removal device, for example, a mobile snow removal device 120 and a fixed snow removal device (eg, a fixed liquid spray system 130, a fixed type eco-friendly snow removal system 140) to perform a snow removal operation on tunnels, bridges, roads, etc. In order to perform communication with a snow removal operation management device (not shown). For example, the fixed snow removal apparatus may be installed in a habitual freezing section and/or a section difficult to respond to the initial response. 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/or a carbon nanotube (CNT) eco-friendly snow removal system. The phase change material eco-friendly snow removal system may include a system that stores surrounding heat by absorbing or emitting a lot of heat while changing a phase without changing the temperature at a specific temperature, and then discharging it when necessary. The carbon nanotube eco-friendly snow removal system may include a method of using a nanomaterial with improved thermal conductivity, such as carbon nanotubes.
일 실시예에서, 제설 장치(120, 130, 140) 중 적어도 하나는 제설 작업 관리 장치(미도시)로부터 수신한 제설 작업과 관련된 제어 신호를 수신할 수 있다. 예컨대, 제설 작업 관리 장치(미도시)는 제설 정보 수집 장치(110)로부터 수신한 기상 정보 및 도로 관련 정보에 기초하여, 도로 상태를 확인하고, 제설 작업이 필요한 제설 구역 및 제설 구역에 살포할 제설제의 종류와 제설제의 양을 결정할 수 있다. 제설 작업 관리 장치(미도시)로부터 수신한 제설 작업과 관련된 제어 신호는 결정된 살포할 제설제의 종류와 제설제 양으로 제설 구역에 살포하라는 제어 신호를 포함할 수 있다.In an embodiment, at least one of the snow removal apparatuses 120 , 130 , and 140 may receive a control signal related to a snow removal operation received from a snow removal operation management apparatus (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 to be sprayed in the snow removal and snow removal areas requiring snow removal You can decide the type of agent and the amount of snow removal 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 for spraying the snow removal area with the determined type and amount of the snow removal agent to be sprayed.
일 실시예에서, 적어도 하나의 제설 장치(120, 130, 및/또는 140)는 제설 작업 관리 장치(미도시)로부터 수신한 제설 작업과 관련된 제어 신호에 기반하여 해당 제설 구역에 제설제를 살포할 수 있다.In an embodiment, the at least one snow removal device 120 , 130 , and/or 140 may spray the snow removal agent in the corresponding snow removal area based on a control signal related to the snow removal operation received from the snow removal operation management device (not shown). can
도 2는, 다양한 실시예들에 따른, IoT 기반의 제설 작업 관리 시스템을 도시한 블록도(200)이다.2 is a block diagram 200 illustrating an IoT-based snow removal operation management system according to various embodiments of the present disclosure.
도 2를 참조하면, IoT 기반의 제설 작업 관리 시스템은 제설 정보 수집 장치(210)(예: 예: 도 1의 제설 정보 수집 장치(110)), 제설 장치(220)(예: 이동형 제설 작업 차량(120)), 고정형 제설 장치(예: 고정형 액상살포시스템(130), 고정형 친환경 제설시스템(140)), 및/또는 제설 작업 관리 장치(230)를 포함할 수 있다.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 spraying system 130 , a stationary eco-friendly snow removal system 140 ), and/or a snow removal operation management device 230 .
일 실시예에서, 제설 정보 수집 장치(210), 제설 장치(220), 및 제설 작업 관리 장치(230)는 통신망(240)을 통해 통신 연결될 수 있다.In an 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 .
일 실시예에 따른, 제설 정보 수집 장치(210)는 후술하는 도 3의 형태로 구현될 수 있으며, 제설 장치(220)는 후술하는 도 5a 및 도 5b의 형태로 구현될 수 있으며, 제설 작업 관리 장치(230)는 후술하는 도 6의 형태로 구현될 수 있다.According to an embodiment, the snow removal information collecting apparatus 210 may be implemented in the form of FIG. 3 to be described later, and the snow removal apparatus 220 may be implemented in the form of FIGS. 5a and 5b to be described later, and snow removal operation management The device 230 may be implemented in the form of FIG. 6 to be described later.
일 실시예에서, 제설 정보 수집 장치(110)는 획득되는 기상 정보(예: 기온, 습도, 풍향/풍속, 강설 여부)와 도로 관련 정보(예: 도로 표면에 대한 온도, 수분)를 통신망(240)을 통해 제설 작업 관리 장치(230)에 송신(250)할 수 있다.In one embodiment, the snow removal information collecting device 110 transmits the obtained weather information (eg, temperature, humidity, wind direction/wind speed, snowfall) and road-related information (eg, temperature and moisture on the road surface) to the communication network 240 ) may be transmitted 250 to the snow removal operation management device 230 through.
일 실시예에서, 제설 장치(220)는 이동형 제설 장치(120)를 포함할 수 있다. 이동형 제설 장치(120)는 제설 차량을 포함할 수 있으며, 고정형 제설 장치(130, 140)는 액상 살포 시스템 및 친환경 제설 시스템을 포함할 수 있다. 하지만 이에 한정하는 것은 아니다.In an embodiment, the snow removal apparatus 220 may include a mobile snow removal apparatus 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, the present invention is not limited thereto.
일 실시예에서, 제설 작업 관리 장치(230)는 통신망(240)을 통해 제설 정보 수집 장치(210)로부터 수신되는 기상 정보 및 도로 관련 정보에 기반하여 제설 구역을 결정하고, 결정된 제설 구역에 살포할 제설제의 양을 결정할 수 있다. 제설 작업 관리 장치(230)는 결정된 제설 구역에 위치하는 제설 장치(220)에 제설 작업과 관련된 제어 신호를 송신(255)할 수 있다. 제설 장치(220)는 제설 작업 관리 장치(230)로부터 수신한 제설 작업과 관련된 제어 신호에 기반하여 해당 구역에서 제설 작업을 수행할 수 있다.In one embodiment, the snow removal operation management device 230 determines the snow removal area based on the weather information and road-related information received from the snow removal information collection device 210 through the communication network 240, and sprays the determined snow removal area. You can determine the amount of snow removal agent. The snow removal operation management apparatus 230 may transmit ( 255 ) a control signal related to the snow removal operation to the snow removal apparatus 220 located in the determined snow removal area. The snow removal apparatus 220 may perform a snow removal operation in a corresponding area based on a control signal related to a snow removal operation received from the snow removal operation management apparatus 230 .
일 실시예에서, 제설 장치(220)가 이동형 제설 장치인 경우, GPS로부터 획득되는 위치 정보를 통신망(240)을 통해 제설 작업 관리 장치(230)에 송신(260)할 수 있다.In an embodiment, when the snow removal apparatus 220 is a mobile snow removal apparatus, the location information obtained from the GPS may be transmitted 260 to the snow removal operation management apparatus 230 through the communication network 240 .
도 3은, 다양한 실시예들에 따른, 제설 정보 수집 장치(210)를 도시한 블록도(300)이다.3 is a block diagram 300 illustrating an apparatus for collecting snow removal information 210 according to various embodiments of the present disclosure.
도 3을 참조하면, 제설 정보 수집 장치(210)(예: 도 1의 제설 정보 수집 장치(110))는 센서부(310), 카메라(320), 및/또는 센서 노드(330)(예: 도 1의 센서 노드(115))를 포함할 수 있다.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/or a sensor node 330 (eg: sensor node 115 of FIG. 1 ).
일 실시예에서, 센서부(310)는 기상 센서(311) 및/또는 로드 센서(313)를 포함할 수 있다. 기상 센서(311)는 기온, 상대 습도, 풍향, 풍속, 및/또는 일조량과 같은 기상 정보를 획득할 수 있다. 예컨대, 기상 센서(311)는 기상 관측소(weather station)로부터 기상 정보를 획득할 수 있다. In an embodiment, the sensor unit 310 may include a weather sensor 311 and/or a load sensor 313 . The weather sensor 311 may acquire 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.
일 실시예에서, 로드 센서(313)(또는 노면 센서)는 노면의 온도와 노면 조건과 같은 도로 관련 정보를 획득할 수 있다. 예컨대, 노면 조건은 건조, 습윤, 결빙, 및/또는 융해와 같은 노면에서의 습윤 상태를 포함할 수 있다.In an embodiment, the road sensor 313 (or a road surface sensor) may acquire road-related information such as a road surface temperature and a road surface condition. For example, road surface conditions may include wet conditions on the road surface such as dry, wet, icy, and/or thawed.
일 실시예에서, 로드 센서(313)는 비접촉 적외선 온도 센서(미도시)를 포함할 수 있으며, 비접촉 적외선 온도 센서(미도시)를 이용하여 노면의 온도를 획득할 수 있다. In an embodiment, the road sensor 313 may include a non-contact infrared temperature sensor (not shown), and may acquire the temperature of the road surface using the non-contact infrared temperature sensor (not shown).
일 실시예에서, 로드 센서(313)는 라이다 센서(lidar sensor)(미도시)를 포함할 수 있으며, 라이다 센서를 이용하여 적설량을 측정할 수 있다.In an embodiment, the load sensor 313 may include a lidar sensor (not shown), and may measure the amount of snow by using the lidar sensor.
일 실시예에서, 제설 정보 수집 장치(210)는 복수 개의 로드 센서(313)를 구비할 수 있다. 센서부(310)는 획득된 기상 정보 및 도로 관련 정보를 센서 노드(330)에 전달할 수 있다.In an embodiment, the snow removal information collecting 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 .
일 실시예에서, 카메라(320)는 촬영되는 영상을 획득할 수 있으며, 이를 센서 노드(330)에 전달할 수 있다. In an embodiment, the camera 320 may acquire a photographed image, and may transmit it to the sensor node 330 .
일 실시예에서, 센서부(310)(예: 기상 센서(311), 노면 센서(313))와 카메라(320)는 유선 또는 무선으로 센서 노드(330)(예: 제설용 센서 노드)에 연결될 수 있다.In one embodiment, the sensor unit 310 (eg, the weather sensor 311, the road sensor 313) and the camera 320 are wired or wirelessly connected to the sensor node 330 (eg, a sensor node for snow removal). can
일 실시예에서, 센서 노드(330)는 센서부(310)로부터 획득되는 기상 정보 및 도로 관련 정보를 획득할 수 있다.In an embodiment, the sensor node 330 may obtain weather information and road-related information obtained from the sensor unit 310 .
일 실시예에서, 센서 노드(330)는 무선 통신 기능이 내장된 노드일 수 있다. 제설 정보 수집 장치(110)는 광범위한 지역 내에 복수 개 설치될 수 있으며, 설치된 복수의 제설 정보 수집 장치들 각각에 포함된 무선 통신 기능이 내장된 센서 노드는 무선 통신으로 서로 연결되어 무선 센서 네트워크로서 구성될 수 있다.In an embodiment, the sensor node 330 may be a node having a built-in wireless communication function. A plurality of snow removal information collecting devices 110 may be installed in a wide area, and sensor nodes having a built-in wireless communication function included in each of the installed plurality of snow removal information collecting devices are connected to each other through wireless communication and configured as a wireless sensor network. can be
일 실시예에서, 센서 노드(330)는 상시 전원 또는 태양열 패널, 또는 배터리 방식으로 전원이 공급될 수 있다.In one embodiment, the sensor node 330 may be powered by a constant power source, a solar panel, or a battery type.
일 실시예에서, 센서 노드(330)는 카메라(320)로부터 수신되는 영상에 기반하여 강설 여부, 차량의 통행량, 및/또는 차량의 이동 속도를 측정할 수 있다. 센서 노드(330)는 센서부(310)를 통해 획득되는 기상 정보 및 도로 관련 정보를 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))에 송신할 수 있다. 센서 노드(330)는 카메라(320)로부터 수신되는 영상에 기반하여 측정된 차량의 이동 속도, 차량의 통행량, 및/또는 강설 여부에 대한 정보를 제설 작업 관리 장치(230)에 송신할 수 있다.In an embodiment, the sensor node 330 may measure whether snow is falling, the amount of vehicle traffic, and/or the moving speed of the vehicle based on the image received from the camera 320 . The sensor node 330 may transmit the weather information and road-related information obtained through the sensor unit 310 to the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ). The sensor node 330 may transmit, to the snow removal operation management apparatus 230 , information on the moving speed of the vehicle, the amount of vehicle traffic, and/or whether there is snow, measured based on the image received from the camera 320 .
도 4는, 다양한 실시예들에 따른, 복수의 제설 정보 수집 장치들 각각에 포함된 센서 노드가 무선 통신으로 서로 연결됨에 따라 제공되는 무선 센서 네트워크를 도시한 도면(400)이다.FIG. 4 is a diagram 400 illustrating a wireless sensor network provided as sensor nodes included in each of a plurality of snow removal information collecting devices are connected to each other through wireless communication, according to various embodiments of the present disclosure.
도 4를 참조하면, 제설 정보 수집 장치(예: 도 2의 제설 정보 수집 장치(210))는 광범위한 지역 내에 복수 개 설치될 수 있으며, 설치된 복수의 제설 정보 수집 장치들 각각에 포함된 센서 노드(435)(예: 도 3의 센서 노드(330))는 무선 통신으로 서로 연결되어 망을 형성할 수 있다. 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 ( 435) (eg, the sensor node 330 of FIG. 3 ) may be connected to each other through wireless communication to form a network.
일 실시예에서, 제설 정보 수집 장치(210)는 제설 장치(예: 도 2의 제설 장치(220))와 통신 연결되어 네트워크(예: 제설 네트워크)를 구성할 수 있다. 제설 네트워크는 제설 장치(220)의 센서 노드(425)(예: 스마트 노드(smart node))와 제설 정보 수집 장치(210)의 센서 노드(435)(예: 스마트 베이스(smart base))의 무선 센서 네트워크(wireless sensor networks, WSN)(420)를 포함할 수 있다. 제설 정보 수집 장치(210)의 센서 노드(435)는 citi wifi(410) 예컨대, 도시 공공와이파이(예: 스마트 서울 네트워크(S-Net))의 AP(415)와 연결되어 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))와 통신을 수행할 수 있다. 예컨대, 제설 정보 수집 장치(210)의 센서 노드(435)는 예컨대, 와이파이 6(WiFi6)를 적용하여 최대 9.6 Gbps로 제설 작업 관리 장치(230)와 통신을 수행할 수 있다. 전술한 와이파이의 종류 및 속도는 하나의 실시예로 이에 한정하는 것은 아니다. 제설 정보 수집 장치(210)의 센서 노드(435)가 citi wifi(410)의 AP(415)와 연결됨에 따라 광역적으로 제설과 관련 정보를 관리할 수 있을 뿐만 아니라 방대한 양의 정보를 효율적으로 전달할 수 있다.In an embodiment, the snow removal information collecting device 210 may be communicatively connected to a snow removal device (eg, the snow removal device 220 of FIG. 2 ) to configure a network (eg, a snow removal network). The snow removal network is a wireless network of the sensor node 425 (eg, smart node) of the snow removal device 220 and the sensor node 435 (eg, smart base) of the snow removal information collection device 210 ). and wireless sensor networks (WSN) 420 . The sensor node 435 of the snow removal information collecting device 210 is connected to the citi wifi 410, for example, the AP 415 of the city public Wi-Fi (eg, Smart Seoul Network (S-Net)), and the snow removal operation management device (eg : It is possible to communicate with the snow removal operation management device 230 of FIG. 2 . For example, the sensor node 435 of the snow removal information collecting device 210 may communicate with the snow removal operation management device 230 at a maximum of 9.6 Gbps by applying, for example, WiFi 6 . The above-described type and speed of Wi-Fi is an exemplary embodiment and is not limited thereto. 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, as well as efficiently deliver a large amount of information can
일 실시예에서, 제설 정보 수집 장치(210)는 제설 장치(220)로부터 획득되는 정보와 제설 정보 수집 장치(210)의 센서부(예: 도 3의 센서부(310))를 통해 획득된 정보를 취합하고, 이를 제설 작업 관리 장치(230)에 송신할 수 있다. 제설 정보 수집 장치(210)는 제설 작업 관리 장치(230)로부터 제설 작업에 대한 제어 정보를 수신할 수 있으며, 이를 제설 장치(220)에 송신할 수 있다. 이에 한정하는 것은 아니며, 제설 작업 관리 장치(230)는 제설 작업을 수행할 제설 장치(220)에 제설 작업에 대한 제어 신호를 송신할 수 있다. In an embodiment, the snow removal information collection device 210 includes information acquired from the snow removal device 220 and information acquired through a sensor unit (eg, the sensor unit 310 of FIG. 3 ) of the snow removal information collection device 210 . may be collected and transmitted to the snow removal operation management device 230 . The snow removal information collection device 210 may receive control information for a snow removal operation from the snow removal operation management device 230 , and transmit it to the snow removal apparatus 220 . The present invention is not limited thereto, and the snow removal operation management apparatus 230 may transmit a control signal for the snow removal operation to the snow removal apparatus 220 to perform the snow removal operation.
도 5a는, 다양한 실시예들에 따른, 제설 장치(220)를 도시한 블록도(500)이다.5A is a block diagram 500 illustrating a snow removal apparatus 220 according to various embodiments.
도 5a를 참조하면, 제설 장치(예: 도 2의 제설 장치(220))는 통신 회로(510), 메모리(520), 센서부(530), 디스플레이(540), 및/또는 센서 노드(550)를 포함할 수 있다.Referring to FIG. 5A , the snow removal apparatus (eg, the snow removal apparatus 220 of FIG. 2 ) includes a communication circuit 510 , a memory 520 , a sensor unit 530 , a display 540 , and/or a sensor node 550 . ) may be included.
일 실시예에서, 제설 장치(220)는 복수의 제설 장치를 포함할 수 있다. 예컨대, 제설 장치(220)는 이동형 제설 장치(예: 도 1의 이동형 제설 장치(예: 이동형 제설 작업 차량(120)) 및 고정형 제설 장치(예: 도 1의 고정형 제설 장치)(예: 고정형 액상살포시스템(130), 고정형 친환경 제설시스템(140))를 포함할 수 있다.In an embodiment, the snow removal apparatus 220 may include a plurality of snow removal apparatuses. For example, the snow removal device 220 may include a mobile snow removal device (eg, a mobile snow removal device of FIG. 1 (eg, a mobile snow removal vehicle 120 )) and a stationary snow removal device (eg, a stationary snow removal device of FIG. 1 ) (eg, a fixed liquid phase). It may include a spraying system 130, a fixed type eco-friendly snow removal system 140).
일 실시예에서, 통신 회로(510)는 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))와 통신 채널을 수립하고, 수립된 통신 채널을 통한 통신 수행을 지원할 수 있다.In an embodiment, the communication circuit 510 may establish a communication channel with the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) and support communication through the established communication channel.
일 실시예에서, 메모리(520)는 기상 정보, 제설 작업 정보, 및/또는 제설제 잔량 정보를 저장할 수 있다. 예컨대, 기상 정보는 외기 온도, 노면 온도, 및/또는 적설량을 포함할 수 있다.In an embodiment, the memory 520 may store weather information, snow removal operation information, and/or residual amount information of the snow removal agent. For example, the weather information may include an outside air temperature, a road surface temperature, and/or an amount of snow.
일 실시예에서, 제설 장치(220)가 이동형 제설 장치(예: 도 1의 이동형 제설 장치(120))인 경우, 메모리(520)는 이동형 제설 장치(120)의 정보를 더 저장할 수 있다. 예컨대, 이동형 제설 장치(120)의 정보는 이동형 제설 장치(120)의 속도와 GPS(미도시)에 기반하여 획득되는 위치 정보를 포함할 수 있다.In an embodiment, when the snow removal apparatus 220 is a movable snow removal apparatus (eg, the movable snow removal apparatus 120 of FIG. 1 ), the memory 520 may further store information on the movable snow removal apparatus 120 . For example, the information of the mobile snow removal apparatus 120 may include location information obtained based on the speed of the mobile snow removal apparatus 120 and GPS (not shown).
일 실시예에서, 센서부(530)는 온도/습도 센서(531), 로드 센서(533), 및/또는 라이다 센서(535)를 포함할 수 있다. In an embodiment, the sensor unit 530 may include a temperature/humidity sensor 531 , a load sensor 533 , and/or a lidar sensor 535 .
일 실시예에서, 온도/습도 센서(531)는 현재 위치에서의 온도 및/또는 습도를 획득할 수 있다. 로드 센서(533)는 노면의 온도와 노면 조건을 측정할 수 있다. 예컨대, 로드 센서(533)는 적설 또는 결빙 상태의 노면을 제설 또는 제빙하기 위하여 노면의 온도를 측정할 수 있다. 노면 조건은 건조, 습윤, 결빙, 융해와 같은 노면에서의 습윤 상태를 포함할 수 있다. 라이다 센서(535)는 적설량을 측정할 수 있다.In an embodiment, the temperature/humidity sensor 531 may acquire the temperature and/or humidity at the current location. The load sensor 533 may measure a temperature of a road surface and a road surface condition. For example, the load sensor 533 may measure the temperature of the road surface in order to remove the snow or ice the road surface in a snowy or icy state. The road surface condition may include a wet state on the road surface such as dry, wet, icy, or thawed. The lidar sensor 535 may measure the amount of snow.
일 실시예에서, 디스플레이(540)는 우선 제설 구역과 최적의 제설제 살포량을 표시할 수 있다. 디스플레이(540)는 특정 구역에서 수행되는 제설 작업 현황에 대한 사용자 인터페이스를 표시할 수 있다. 디스플레이(540)는 제설 작업과 관련된 정보들을 포함하는 사용자 인터페이스, 예컨대, 우선 제설 구역 및 최적의 제설제 살포량을 사용자가 설정 가능하도록 하기 위한 사용자 인터페이스를 표시할 수 있다. In an embodiment, the display 540 may display a priority snow removal area and an optimal amount of snow removal agent application. The display 540 may display a user interface for the snow removal operation status 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 priority snow removal area and an optimal amount of snow removal agent spraying.
일 실시예에서, 센서 노드(550)는 제설 작업 관리 장치(230)로부터 제설 작업과 관련된 제어 신호를 수신하면, 이에 기반하여 해당 제설 구역에 제설제를 살포할 수 있다.In an 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 sensor node 550 may spray the snow removal agent on the corresponding snow removal area based on the received control signal.
일 실시예에서, 미도시 되었으나, 제설 장치(220)가 이동형 제설 장치(예: 도 1의 이동형 제설 장치) 예컨대, 이동형 제설 작업 차량(120)인 경우, GPS를 더 포함할 수 있다. GPS는 이동형 제설 작업 차량의 위치 정보를 획득할 수 있으며, 이를 센서 노드(550)에 송신할 수 있다.In one embodiment, although not shown, when 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 , a GPS may be further included. The GPS may acquire location information of the mobile snow removal vehicle and transmit it to the sensor node 550 .
전술한 제설 장치(220) 예컨대, 이동형 제설 장치(120) 및 고정형 제설 장치(120) 예컨대, 고정형 액상살포시스템(130)과 관련하여, 후술하는 도 5b에서 다양한 실시예들이 설명될 것이다.The above-described snow removal device 220, for example, a movable snow removal device 120 and a fixed snow removal device 120, for example, in relation to the fixed liquid spray system 130, various embodiments will be described in Figure 5b to be described later.
도 5b는, 다양한 실시예들에 따른, 제설 장치(220) 예컨대, 이동형 제설 장치(예: 이동형 제설 작업 차량(120)) 및 고정형 제설 장치(예: 고정형 액상살포시스템(130))를 도시한 도면(550)이다.5B is a snow removal device 220, for example, a mobile snow removal device (eg, a mobile snow removal work vehicle 120) and a fixed snow removal device (eg, a fixed liquid spraying system 130) according to various embodiments. Figure 550.
도 5b를 참조하면, 일 실시예에 따른 참조번호 <560>에 도시된 이동형 제설 장치는 도로 구간에 제설제를 살포하는 이동형 제설 작업 차량(예: 도 1의 이동형 제설 장치(120))을 포함할 수 있다. Referring to FIG. 5B , the mobile snow removal device shown at reference number <560> according to an embodiment includes a mobile snow removal work vehicle (eg, the mobile snow removal device 120 of FIG. 1 ) that sprays a snow removal agent on a road section. can do.
일 실시예에서, 이동형 제설 작업 차량(120)은 센서 노드(예: 스마트 노드(smart node))(561)(예: 도 5a의 센서 노드(550))를 포함할 수 있다. 이동형 제설 작업 차량(120)의 센서 노드(561)는 센서부(예: 도 5a의 센서부(530))를 통해 이동형 제설 작업 차량(120)과 관련된 정보를 획득할 수 있다. 예컨대, 센서부(530)로부터 획득되는 이동형 제설 작업 차량(120)과 관련된 정보는 이동형 제설 작업 차량(120)의 운행 정보(562), 기상 정보(563), 제설제 잔량 정보(564), 및/또는 제설제 살포량(565)을 포함할 수 있다. 예컨대, 이동형 제설 작업 차량(120)의 운행 정보(562)는 속도 센서를 통해 획득되는 이동형 제설 작업 차량(120)의 속도 정보 및 GPS(미도시)를 통해 획득되는 이동형 제설 작업 차량(120)의 위치 정보를 포함할 수 있다. 기상 정보(563)는 온도/습도 센서(예: 도 5a의 온도/습도 센서(531))를 통해 획득되는 기온 정보, 로드 센서(예: 도 5a의 로드 센서(533))를 통해 획득되는 노면 온도, 및/또는 라이다 센서(예: 도 5a의 라이다 센서(535))를 통해 획득되는 적설량을 포함할 수 있다. 이에 한정하는 것은 아니며, 이동형 제설 작업 차량(120)은 비접촉 적외선 온도 센서를 더 구비할 수 있으며, 비접촉 적외선 온도 센서를 통해 노면 온도를 획득할 수 있다. 일 실시예에서, 비접촉 적외선 온도 센서와 라이다 센서(535)는 이동형 제설 작업 차량(120)의 앞단에 설치될 수 있다.In an 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 work vehicle 120 may obtain information related to the mobile snow removal work vehicle 120 through a sensor unit (eg, the sensor unit 530 of FIG. 5A ). For example, the information related to the mobile snow removal work vehicle 120 obtained from the sensor unit 530 includes operation information 562, weather information 563, residual amount of snow removal information 564 of the mobile snow removal operation vehicle 120, and / or a snow removal agent application amount 565 may be included. For example, the driving information 562 of the mobile snow removal work vehicle 120 includes speed information of the mobile snow removal work vehicle 120 obtained through a speed sensor and the mobile snow removal work vehicle 120 obtained through GPS (not shown). Location information may be included. The weather information 563 includes temperature information obtained through a temperature/humidity sensor (eg, the temperature/humidity sensor 531 of FIG. 5A ) and a road surface obtained through a load sensor (eg, the load sensor 533 of FIG. 5A ). It may include temperature and/or snow load obtained through a lidar sensor (eg, lidar sensor 535 of FIG. 5A ). The present invention is not limited thereto, and the mobile snow removal vehicle 120 may further include a non-contact infrared temperature sensor, and may acquire a road surface temperature through the non-contact infrared temperature sensor. In an embodiment, the non-contact infrared temperature sensor and the lidar sensor 535 may be installed at the front end of the mobile snow removal vehicle 120 .
일 실시예에서, 이동형 제설 작업 차량(120)의 센서 노드(561)는 제설제 잔량 정보(564)를 획득할 수 있다. 예컨대, 제설제는 고체 제설제 및/또는 액상 제설제를 포함할 수 있다. 이동형 제설 작업 차량(120)의 센서 노드(561)는 라이다 센서(535)를 이용하여 고체 제설제의 잔량 정보를 획득할 수 있으며, 수압계를 이용하여 액상 제설제의 잔량 정보를 획득할 수 있다.In an embodiment, the sensor node 561 of the mobile snow removal work vehicle 120 may obtain information 564 on the amount of snow removal agent remaining. 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 work vehicle 120 may obtain information on the remaining amount of the solid snow removal agent using the lidar sensor 535, and may obtain information on the remaining amount of the liquid snow removal agent using a water pressure gauge. have.
일 실시예에서, 이동형 제설 작업 차량(120)의 센서 노드(561)는 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))로부터 제설 작업과 관련된 제어 신호(566)를 수신하면, 이에 기반하여 해당 제설 구역에 제설제를 살포할 수 있다. 예컨대, 제설 작업과 관련된 제어 신호(566)는 우선 제설 구역과 제설제 살포량을 포함할 수 있다. 일 실시예에서, 고체 제설제를 살포하는 경우, 이동형 제설 작업 차량(120)의 센서 노드(561)는 구동 모터의 회전량(rpm)에 기반하여 고체 제설제의 살포량을 측정할 수 있다. 액상 제설제를 살포하는 경우 이동형 제설 작업 차량(120)의 센서 노드(561)는 노즐의 유량계를 이용하여 액상 제설제의 살포량을 측정할 수 있다. In one embodiment, the sensor node 561 of the mobile snow removal operation vehicle 120 receives a control signal 566 related to a snow removal operation from a snow removal operation management device (eg, the snow removal operation management apparatus 230 of FIG. 2 ). , based on this, it is possible to spray the snow removal agent in the relevant snow removal area. For example, the control signal 566 related to the snow removal operation may include a first snow removal area and an amount of snow removal agent applied. In an 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 the solid snow removal agent applied based on the rotation amount (rpm) of the driving motor. When the liquid snow removal agent is sprayed, the sensor node 561 of the mobile snow removal operation vehicle 120 may measure the amount of liquid snow removal agent sprayed by using a flow meter of the nozzle.
일 실시예에서, 이동형 제설 작업 차량(120)의 센서 노드(561)는 노면 상태 예컨대, 제설폭(예: 차로(또는 차선))을 고려하여 제설제의 살포량을 제어할 수 있다. In an embodiment, the sensor node 561 of the mobile snow removal operation vehicle 120 may control the amount of snow removal agent spraying in consideration of a road surface condition, for example, a snow removal width (eg, a lane (or lane)).
일 실시예에서, 이동형 제설 장치 차량(120)의 센서 노드(570)는 수행중인 제설 작업 현황을 제설 작업 관리 장치(230)에 전달할 수 있다.In an embodiment, the sensor node 570 of the mobile snow removal apparatus vehicle 120 may transmit the snow removal operation status being performed to the snow removal operation management apparatus 230 .
일 실시예에서, 이동형 제설 작업 차량(120)의 센서 노드(561)는 획득된 이동형 제설 작업 차량(120)과 관련된 정보(예: 이동형 제설 작업 차량(120)의 운행 정보(562), 기상 정보(563), 제설제 잔량 정보(564), 제설제 살포량(565))를 메모리(예: 도 5a의 메모리(520))에 저장할 수 있다. In an embodiment, the sensor node 561 of the mobile snow removal work vehicle 120 includes the obtained information related to the mobile snow removal work vehicle 120 (eg, operation information 562 of the mobile snow removal work vehicle 120 , weather information). 563 , information on the residual amount of the snow removal agent 564 , and the amount of spraying the snow removal agent 565 ) may be stored in a memory (eg, the memory 520 of FIG. 5A ).
일 실시예에서, 이동형 제설 작업 차량(120)의 센서 노드(561)는 디스플레이(540)에 제설 작업과 관련된 사용자 인터페이스를 표시할 수 있다. 이동형 제설 작업 차량(120)의 사용자는 디스플레이(540)에 표시된 제설 작업과 관련된 사용자 인터페이스를 통해 제설 작업을 제어할 수 있다.In an embodiment, the sensor node 561 of the mobile snow removal operation vehicle 120 may display a user interface related to the snow removal operation on the display 540 . The user of the mobile snow removal operation vehicle 120 may control the snow removal operation through a user interface related to the snow removal operation displayed on the display 540 .
일 실시예에서, 참조번호 <580>에 도시된 고정형 제설 장치는 고정형 액상살포시스템(예: 도 1의 고정형 액상살포시스템(130))을 포함할 수 있다. 이에 한정하는 것은 아니며, 고정형 제설 장치는 고정형 친환경 제설시스템(예: 도 1의 고정형 친환경 제설시스템(140))을 포함할 수 있다.In one embodiment, the fixed snow removal apparatus shown by reference number <580> may include a fixed liquid spraying system (eg, the fixed liquid spraying system 130 of FIG. 1). The present invention is not limited thereto, and the fixed snow removal apparatus may include a fixed type eco-friendly snow removal system (eg, the fixed type eco-friendly snow removal system 140 of FIG. 1 ).
일 실시예에서, 고정형 액상살포시스템(130)은 센서 노드(예: 스마트 노드(smart node))(581)(예: 도 5a의 센서 노드(550))를 포함할 수 있다. 고정형 액상살포시스템(130)의 센서 노드(581)는 센서부(예: 도 5a의 센서부(530))를 통해 고정형 액상살포시스템(130)과 관련된 정보를 획득할 수 있다. 예컨대, 센서부(530)로부터 획득되는 고정형 액상살포시스템(130)과 관련된 정보는 제설제 살포량(582), 기상 정보(583), 및/또는 제설제 잔량 정보(584)를 포함할 수 있다. 예컨대, 기상 정보(583)는 온도/습도 센서(531)를 통해 획득되는 기온 정보, 로드 센서(533)를 통해 획득되는 노면 온도, 및/또는 라이다 센서(535)를 통해 획득되는 적설량을 포함할 수 있다. 이에 한정하는 것은 아니며, 고정형 액상살포시스템(130)은 비접촉 적외선 온도 센서를 더 구비할 수 있다. 고정형 액상살포시스템(130)은 비접촉 적외선 온도 센서를 통해 노면 온도를 획득할 수 있다.In an embodiment, the fixed liquid dispersion 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 dispersion system 130 may acquire information related to the fixed liquid dispersion system 130 through a sensor unit (eg, the sensor unit 530 of FIG. 5A ). For example, the information related to the fixed liquid spraying system 130 obtained from the sensor unit 530 may include a snow removal agent application amount 582 , weather information 583 , and/or snow removal agent residual amount information 584 . For example, the weather information 583 includes temperature information obtained through the temperature/humidity sensor 531 , the road surface temperature obtained through the load sensor 533 , and/or the amount of snow obtained through the lidar sensor 535 . can do. It is not limited thereto, and the fixed liquid dispersion system 130 may further include a non-contact infrared temperature sensor. The fixed liquid dispersion system 130 may acquire the road surface temperature through a non-contact infrared temperature sensor.
일 실시예에서, 고정형 액상살포시스템(130)의 센서 노드(581)는 제설제 잔량 정보(584) 예컨대, 액상 제설제의 잔량 정보를 획득할 수 있다. 예컨대, 고정형 액상살포시스템(130)은 저장 탱크를 포함할 수 있다. 저장 탱크에 저장된 액상 제설제의 잔량 정보는 수압계를 이용하여 획득될 수 있다. In one embodiment, the sensor node 581 of the fixed liquid spraying system 130 may obtain information on the residual amount of snow removal agent 584 , for example, information on the amount of residual amount of the liquid snow removal agent. For example, the fixed liquid dispersion system 130 may include a storage tank. Information on the remaining amount of the liquid snow removal agent stored in the storage tank may be obtained using a hydraulic pressure gauge.
일 실시예에서, 고정형 액상살포시스템(130)의 센서 노드(581)는 제설 작업 관리 장치(230)와 통신할 수 있다. 고정형 액상살포시스템(130)의 센서 노드(581)는 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))로부터 제설 작업과 관련된 제어 신호(585)를 수신하면, 이에 기반하여 액상 제설제를 살포할 수 있다. 예컨대, 제설 작업과 관련된 제어 신호(585)는 액상 제설제 살포량을 포함할 수 있다. 고정형 액상살포시스템(130)은 노즐을 구비할 수 있으며, 노즐을 통해 액상 제설제의 살포량을 측정 및 제어할 수 있다. In one embodiment, the sensor node 581 of the fixed liquid dispersion system 130 may communicate with the snow removal operation management device 230 . When the sensor node 581 of the fixed liquid spraying 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 ), based on this, the liquid phase You can spray snow remover. For example, the control signal 585 related to the snow removal operation may include an amount of liquid snow removal agent applied. The fixed liquid spraying system 130 may include a nozzle, and may measure and control the spraying amount of the liquid snow removal agent through the nozzle.
일 실시예에서, 고정형 액상살포시스템(130)(또는 고정형 친환경 제설시스템(140))은 제설이 취약한 구간 및/또는 상습적으로 결빙이 발생하는 구간과 같이 초동 대응이 어려운 구간에 설치될 수 있다. 고정형 액상살포시스템(130)(또는 고정형 친환경 제설시스템(140))이 설치되는 구간은, 예컨대, 교량 진출입로, 램프구간, 고가 차도, 고갯길, 지하차도, 도심지 터널 시/종점 경사 구간(예: 경사 3% 이상), 및/또는 자치단체 간 경계구간의 고갯길을 포함할 수 있다.In one embodiment, the fixed liquid spraying system 130 (or the fixed eco-friendly snow removal system 140) may be installed in a section in which it is difficult to respond in an initial response, such as a section where snow removal is weak and/or a section where ice is habitually generated. The section in which the fixed liquid spraying system 130 (or the fixed eco-friendly snow removal system 140) is installed is, for example, a bridge entrance/exit road, a ramp section, an overpass, an overpass, an underpass, and a slope section at the start/end point of the downtown tunnel (eg: slope of 3% or more), and/or a pass along the boundary between local governments.
도 6은, 다양한 실시예들에 따른, 제설 작업 관리 장치(230)를 도시한 블록도(600)이다.6 is a block diagram 600 illustrating a snow removal operation management apparatus 230 according to various embodiments of the present disclosure.
일 실시예에서, 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))는 제설 작업을 통합 관리하는 장치일 수 있다. 제설 작업 관리 장치(230)는 강설 발생 여부를 감지하고, 노면 상태를 예측하고, 제설제의 살포량을 최적화하고, 제설작업 현황 정보를 사용자들(예: 제설 관리자 및/또는 시민들)에게 제공할 수 있다.In an embodiment, the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) may be a device for integrated management of the snow removal operation. The snow removal operation management device 230 may detect whether snowfall occurs, predict a road surface condition, optimize the amount of snow removal agent applied, and provide snow removal operation status information to users (eg, snow removal managers and/or citizens). have.
도 6을 참조하면, 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))는 통신 회로(610), 메모리(620), 디스플레이(630), 및/또는 프로세서(640)를 포함할 수 있다.Referring to FIG. 6 , the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) includes a communication circuit 610 , a memory 620 , a display 630 , and/or a processor 640 . can do.
일 실시예에서, 통신 회로(610)는 제설 정보 수집 장치(예: 도 2의 제설 정보 수집 장치(210)) 및/또는 제설 장치(예: 도 2의 제설 장치(220))와 통신 채널을 수립하고, 수립된 통신 채널을 통한 통신 수행을 지원할 수 있다. 통신 회로(610)는 무선 통신 모듈(예: 셀룰러 통신 모듈, 근거리 무선 통신 모듈, 또는 GNSS(global navigation satellite system) 통신 모듈)을 포함할 수 있다. 이들 통신 모듈 중 해당하는 통신 모듈은 블루투스, WiFi direct, 또는 IrDA(infrared data association)와 같은 근거리 통신 네트워크 또는 셀룰러 네트워크, 인터넷, 또는 컴퓨터 네트워크(예: LAN 또는 WAN)와 같은 원거리 통신 네트워크를 통하여 제설 정보 수집 장치(210) 및/또는 제설 장치(220)와 통신할 수 있다.In an embodiment, the communication circuit 610 establishes a communication channel with a snow removal information collection device (eg, the snow removal information collection device 210 of FIG. 2 ) and/or a snow removal device (eg, the snow removal device 220 of FIG. 2 ) It can be established and support performing communication through the established communication channel. The communication circuit 610 may include a wireless communication module (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module). A corresponding communication module among these communication modules is removed through a short-distance communication network such as Bluetooth, WiFi direct, or IrDA (infrared data association) or a telecommunication network such as a cellular network, the Internet, or a computer network (eg, LAN or WAN). It may communicate with the information collection device 210 and/or the snow removal device 220 .
일 실시예에서, 메모리(620)는 데이터베이스(621)를 포함할 수 있다. 데이터베이스(621)는 예컨대, 기상 정보 데이터베이스(621a), 도로 정보 데이터베이스(621b), 및/또는 제설 장치 위치 데이터베이스(621c)를 포함할 수 있다. 기상 정보 데이터베이스(621a)는 복수의 제설 정보 수집 장치들 각각으로부터 수신한 해당 위치에 대한 실시간 기상 정보를 포함할 수 있다. 도로 정보 데이터베이스(621b)는 도로의 폭, 차로 수, 및/또는 도로의 방향을 저장할 수 있다. 제설 장치 위치 데이터베이스(621c)는 제설 장치 예컨대, 복수의 이동형 제설 장치들 각각으로부터 수신한 위치 정보를 저장할 수 있다. 제설 장치 위치 데이터베이스(621c)는 제설 장치 예컨대, 복수의 고정형 제설 장치들의 위치 정보를 저장할 수 있다.In one embodiment, the memory 620 may include a database 621 . The database 621 may include, for example, a weather information database 621a, a road information database 621b, and/or a snow removal device location database 621c. The weather information database 621a may include real-time weather information for a corresponding location received from each of the plurality of snow removal information collecting devices. The road information database 621b may store the width of the road, the number of lanes, and/or the direction of the road. The snow removal apparatus location database 621c may store location information received from a snow removal apparatus, for example, each of a plurality of mobile snow removal apparatuses. The snow removal apparatus location database 621c may store location information of a snow removal apparatus, for example, a plurality of fixed snow removal apparatuses.
일 실시예에서, 데이터베이스(621)는 프로세서(640)에 의해 결정된 제설 구역 및 제설 구역에 살포할 최적의 제설제의 양을 누적하여 저장된 제설 구역 데이터베이스(621d) 및 최적의 제설제 살포량 데이터베이스(621e)를 더 포함할 수 있다.In one embodiment, the database 621 accumulates and stores the snow removal zone determined by the processor 640 and the optimal amount of the snow removal agent to be applied to the snow removal zone database 621d and the optimal snow removal agent application amount database 621e ) may be further included.
일 실시예에서, 디스플레이(630)는 프로세서(640)의 제어 하에 결정된 제설 구역 및 최적의 제설제 살포량을 교통지리정보시스템(geographic information system for transportation, GIS-T)에 기반하여 표시할 수 있다. 일 실시예에서, 디스플레이(630)는 프로세서(640)의 제어 하에 특정 구역에서 수행되는 제설 작업 현황에 대한 화면을 표시할 수 있다.In an embodiment, the display 630 may display the snow removal area determined under the control of the processor 640 and the optimum snow removal agent application amount based on a geographic information system for transportation (GIS-T). In an embodiment, the display 630 may display a screen regarding the snow removal operation status performed in a specific area under the control of the processor 640 .
일 실시예에서, 프로세서(640)는 정보 수집부(641), 도로 상태 모니터링부(643), 제설 작업 결정부(645), 제설 작업 모니터링부(647), 및/또는 제설 작업 제공부(649)를 포함할 수 있다. In an 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/or a snow removal operation providing unit 649 . ) may be included.
일 실시예에서, 정보 수집부(641)는 제설 정보 수집 장치(210)로부터 기상 정보 및 도로 관련 정보를 수신하여 데이터베이스(621)(예: 기상 정보 데이터베이스(621a) 및 도로 정보 데이터베이스(621b))에 저장할 수 있다. 정보 수집부(641)는 제설 장치(220)로부터 위치 정보를 수신하여 데이터베이스(621)(예: 제설 장치 위치 데이터베이스(621c))에 저장할 수 있다.In an embodiment, the information collection unit 641 receives the weather information and road-related information from the snow removal information collection device 210 and receives 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 the location information from the snow removal apparatus 220 and store it in the database 621 (eg, the snow removal apparatus location database 621c).
일 실시예에서, 프로세서(640)의 도로 상태 모니터링부(643)는 제설 정보 수집 장치(210)로부터 수신한 제설 정보 수집 장치(210)가 위치하는 장소의 기상 정보 및 도로 관련 정보(예: 도로 표면 상태)에 기반하여 도로 상태(예: 결빙, 강설과 같은 도로 상태)를 모니터링 할 수 있다.In an embodiment, the road condition monitoring unit 643 of the processor 640 includes weather information and road-related information (eg, road road conditions (eg road conditions such as icing and snow) can be monitored based on the surface condition).
일 실시예에서, 도로 상태 모니터링부(643)에 의해 모니터링한 결과 해당 장소의 도로에 강설 및 결빙이 발생되면, 프로세서(640)의 제설 작업 결정부(645)는 우선적으로 제설 작업을 수행할 장소(예: 구역)를 결정할 수 있다. 예컨대, 제설 작업 결정부(645)는 모니터링 결과에 기반하여 적설량이 지정된 값을 초과하고, 노면의 온도가 지정된 값 이하인 구역을 우선적으로 제설 작업을 수행할 장소로 결정할 수 있다. 다른 예를 들어, 제설 작업 결정부(645)는 도로 정보 데이터베이스(621b)에 저장된 도로 정보(예: 도로의 폭, 차로 수, 도로의 방향)에 기반하여 도로 제설 취약 구역으로 판단되는 구역을 우선적으로 제설 작업을 수행할 장소로 결정할 수 있다.In one embodiment, as a result of monitoring by the road condition monitoring unit 643 , when snowfall and icing occur on the road of the corresponding place, the snow removal operation determining unit 645 of the processor 640 preferentially performs the snow removal operation. (eg zone) can be determined. For example, the snow removal operation determining unit 645 may determine, based on the monitoring result, an area where the snowfall amount exceeds a specified value and the road surface temperature is below the specified value as a place to preferentially perform the snow removal operation. For another example, the snow removal operation determining unit 645 preferentially selects an area determined to be a vulnerable road snow removal area 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 621b. can be determined as a place to carry out snow removal operations.
일 실시예에서, 프로세서(640)는 제설 정보 수집 장치(210)의 카메라(320)를 통해 획득되는 영상을 제설 정보 수집 장치(210)로부터 수신할 수 있다. 프로세서(640)의 도로 상태 모니터링부(643)는 제설 정보 수십 장치(210)로부터 수신한 영상 이미지를 분석하여, 강설 또는 강우의 발생 여부를 확인할 수 있다. 예컨대, 프로세서(640)는 영상 이미지의 픽셀을 분할하고, 분할된 픽셀의 광도 및 크기에 기반하여 선택된 규칙으로 오차를 보정할 수 있다. 프로세서(640)는 각 픽셀의 줄무늬에 대한 방향 히스토그램을 계산할 수 있으며, 계산된 방향 히스토그램에 기반하여 강설 또는 강우의 픽셀을 검출할 수 있다. In an embodiment, the processor 640 may receive an image obtained 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 the video image received from the tens of snow removal information devices 210 to determine whether snowfall or rainfall has occurred. For example, the processor 640 may divide the pixels of the video image and correct the error according to a rule selected based on the luminance and size of the divided pixels. The processor 640 may calculate a direction histogram for the stripes of each pixel, and may detect a pixel of snowfall or rainfall based on the calculated direction histogram.
일 실시예에서, 프로세서(640)는 제설 정보 수집 장치(210)로부터 지정된 시간 간격으로 영상 이미지를 획득할 수 있으며, 지정된 시간 간격으로 획득된 영상 이미지에 기반하여 강설 또는 강우의 발생 여부를 확인할 수 있다.In an embodiment, the processor 640 may acquire a video image from the snow removal information collecting device 210 at a specified time interval, and determine whether snowfall or rainfall occurs based on the video image acquired at a specified time interval. have.
일 실시예에서, 프로세서(640)는 영상 이미지를 분석하여 차량을 검출하여 교통 상황(예: 차량 통과 대수, 차량 속도)에 대한 정보를 예측할 수 있다. 예컨대, 프로세서(640)는 획득되는 영상 이미지를 차 필터링, 배경 차감, 이미지 분할, 램프 억제(예: 밤인 경우), 그림자 억제(예: 낮인 경우), 및/또는 윤곽 추출을 수행하여 차량을 검출할 수 있다. 차량을 검출하기 위한 파라미터는 사전 정의되어 메모리(620)에 기 저장될 수 있다. 예컨대, 차량을 검출하기 위한 파라미터는 가상 코일 생성, 라인 감지 파라미터, 임계값, 및/또는 야간 감지 영역을 포함할 수 있다. 프로세서(640)는 차량을 검출하기 위한 파라미터를 이용하여 차량의 정체와 차량의 통과 수를 산출할 수 있다. 파라미터는 사용자에 의해 수동으로 설정되거나, 또는 자동으로 설정될 수 있다.In an embodiment, the processor 640 may analyze the video image to detect a vehicle and predict information on a traffic situation (eg, the number of vehicles passing, vehicle speed). For example, the processor 640 detects a vehicle by performing difference filtering, background subtraction, image segmentation, lamp suppression (eg, in case of night), shadow suppression (eg, in case of day), and/or contour extraction on the obtained video image can do. A parameter 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 the congestion of the vehicle and the number of vehicles passing by using the parameter for detecting the vehicle. The parameter may be set manually by the user, or may be set automatically.
일 실시예에서, 도로 상태 모니터링부(643)는 열 균형(heat-balance) 방정식에 기반하여 노면 온도 예측 모형을 산정할 수 있으며, 노면 온도 예측 모형에서 산정된 시계열 데이터를 딥러닝(deep learning)을 통해 노면의 상태를 예측할 수 있다. 예컨대, 도로 상태 모니터링부(643)는 에너지 균형 법칙에 기반하여 노면에서의 에너지 흐름과 노면과 대기에서의 수직 열전달을 계산할 수 있다. 예컨대, 도로 상태 모니터링부(643)는 제설 정보 수집 장치(210)로부터 획득된 기상 정보(예: 기온, 습도, 풍향/풍속, 강설 여부)와 도로 관련 정보(예: 도로 표면에 대한 온도, 수분)를 에너지 균형 법칙 모델에 적용하여 수치해석적 해를 산출할 수 있다. 도로 상태 모니터링부(643)는 에너지 균형 방정식에 기반한 도로 노면 상태 예측 모델을 통해 도로 상태 예컨대, 대기의 온도, 노면의 온도, 및/또는 노면의 상태를 예측할 수 있다.In an embodiment, the road condition monitoring unit 643 may calculate a road surface temperature prediction model based on a heat-balance equation, and deep learning the time series data calculated from the road surface temperature prediction model. can predict the condition of the road surface. For example, the road condition monitoring unit 643 may calculate an 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, snowfall) and road-related information (eg, temperature and moisture on the road surface) obtained from the snow removal information collecting device 210 . ) can be applied to the energy balance law model to calculate a numerical solution. The road condition monitoring unit 643 may predict a road condition, for example, an atmospheric temperature, a road surface temperature, and/or a road condition through a road surface condition prediction model based on the energy balance equation.
일 실시예에서, 프로세서(640)의 제설 작업 결정부(645)는 데이터베이스(621)(예: 제설 구역 데이터베이스(621d) 및 최적의 제설제 살포량 데이터베이스(621e))에 누적된 제설 작업과 관련된 빅 데이터(big data)를 딥 러닝(deep learning) 방식으로 분석하여, 우선 제설 구역을 결정할 수 있다 In one embodiment, the snow removal operation determination unit 645 of the processor 640 is a big snow removal operation accumulated in the database 621 (eg, the snow removal area database 621d and the optimal snow removal agent application amount database 621e). By analyzing big data in a deep learning method, it is possible to determine a snow removal area first
일 실시예에서, 제설 작업 결정부(645)는 결정된 제설 작업을 수행할 장소(예: 구역)에 살포할 최적의 제설제의 양을 결정할 수 있다. 예컨대, 제설 작업 결정부(645)는 열 전달 방정식을 지배 방정식으로 산정하여, 최적의 제설제 살포량을 결정할 수 있다. 제설 작업 결정부(645)는 제설제를 이용하여 눈을 녹이는 것은 에너지 흐름 법칙을 따르는 열 전달 방정식을 지배 방정식으로 하여 최적의 제설제 살포량을 산출할 수 있다. 열 전달 방정식에 대입될 수 있는 센싱 정보는 외부 조건인 기상 조건(예: 기온, 상대 습도, 풍향, 풍속, 및/또는 일조량), 노면 조건(예: 노면 온도, 노면 함수 상태), 및 적설량을 포함할 수 있다. 제설 작업 결정부(645)는 외부 조건을 열 전달 방정식에 대입하여 목표로 하는 제설 시간과 성능에 따른 제설제 살포량을 결정할 수 있다. 열 전달 방정식은 함수식을 이용하는 결정론적 방법으로 하나의 방정식의 풀이를 통해 제설제 살포량을 산출할 수 있다.In an embodiment, the snow removal operation determining unit 645 may determine an optimal amount of the snow removal agent to be sprayed on a place (eg, an area) to perform the determined snow removal operation. For example, the snow removal operation determining unit 645 may determine the optimal amount of spraying the snow removal agent by calculating the heat transfer equation as a governing equation. The snow removal operation determining unit 645 may calculate the optimal amount of snow removal by using the snow removal agent to melt the snow using the heat transfer equation following the energy flow law as the governing equation. Sensing information that can be substituted into the heat transfer equation includes external conditions such as weather conditions (eg, temperature, relative humidity, wind direction, wind speed, and/or sunlight), road surface conditions (eg, road surface temperature, road surface function state), and snow load. may include The snow removal operation determining unit 645 may determine the amount of snow removal agent sprayed according to the target snow removal time and performance by substituting an external condition into the heat transfer equation. The heat transfer equation is a deterministic method using a functional formula, and the amount of snow removal can be calculated by solving one equation.
다른 실시예에서, 제설 작업 결정부(645)는 입력값과 목표값(예: 제설제 살포량)에 대한 딥러닝(deep learning)을 이용하여 제설제 살포량을 결정할 수 있다. 예컨대, 제설 작업 결정부(645)는 제설 정보 수집 장치(210)와 제설 장치(220)로부터 획득된 정보에 기반하여 빅 데이터(big data)를 구축할 수 있다. 빅 데이터로 구축된 정보에 기반하여 심층신경망(deep neural network; DNN)을 이용하여 딥 러닝을 수행할 수 있다. 입력값은 열 전달 방정식의 풀이에 필요한 기상 조건, 노면 조건, 적설량을 포함할 수 있으며, 목표값은 제설제 살포량을 포함할 수 있다. 입력값과 목표값이 지속적으로 누적될수록 학습량도 많아지기 때문에, 제설제 살포량의 정확도가 개선될 수 있다. 시간에 따른 제설제 살포량을 시계열 값으로 나타내면, 제설제 살포량에 대한 예측 또한 가능할 수 있다.In another embodiment, the snow removal operation determining unit 645 may determine the amount of snow removal by using deep learning for an input value and a target value (eg, a snow removal amount). 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 with big data. The input value may include a weather condition, a road surface condition, and an amount of snow required for solving the heat transfer equation, and the target value may include an amount of snow removal agent applied. 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 can be improved. If the amount of spraying of the snow remover over time is expressed as a time series value, it may also be possible to predict the amount of spraying of the snow remover.
예컨대, 빅 데이터(big data)를 구축하는 방법으로 BPS(bare pavement status) 및 BPRT(bare pavement regain time)를 포함할 수 있다. 예컨대, BPS는 특정 도로 면적에 대하여 제설제 살포로 인해 적설이 완벽하게 제거된 면적의 비율을 의미할 수 있다. 제설 작업 결정부(645)는 제설제를 살포한 이후 시간 경과에 따라 사진을 촬영하여, 이미지 분석을 통해 전면적 대비 융설 면적을 계산할 수 있다. BPRT는 특정 도로 면적에 대하여 제설제를 살포한 후 적설이 완벽하게 제거된 면적의 비율이 80%에 도달하는데 까지 경과한 시간으로 정의될 수 있다. 제설제를 살포한 이후 동영상 촬영을 통해 BPS가 80%에 도달할 때까지의 경과 시간을 측정할 수 있다. 제설 작업 결정부(645)는 전술한 BPS 및 BPRT를 이용하여 빅 데이터를 구축하고, 이에 기반하여 제설제 살포량을 결정할 수 있다.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 by spraying 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 snowmelt area compared to the overall area through image analysis. BPRT can be defined as the time elapsed from spraying the snow removal agent on a specific road area until the percentage of the area completely removed from snow reaches 80%. It is possible to measure the elapsed time until the BPS reaches 80% by shooting a video after spraying the snow remover. The snow removal operation determining unit 645 may build big data using the above-described BPS and BPRT, and determine the amount of snow removal agent spraying based thereon.
일 실시예에서, 제설 작업 결정부(645)는 최적의 제설제 살포량과 교통지리정보시스템을 기반으로 우선 제설 구역을 결정할 수 있다. 예컨대, 최적의 제설제 살포량은 기상 정보, 도로 관련 정보, 및/또는 적설량에 기반하여 결정될 수 있다. 도시의 교통망에 대한 지형정보는 교통지리정보시스템으로 사전에 메모리(620) 내 저장될 수 있다. 예컨대, 도시의 교통망은 도로망의 형상, 차로 수, 통행량, 도로 포장 종류, 방향성, 일조량, 및/또는 유지보수 정보를 포함할 수 있다. 제설 작업 결정부(645)는 최적의 제설제 살포량과 교통지리정보시스템의 교통망의 네트워크 분석을 통해 우선 제설 구역을 결정할 수 있다. 네트워크 분석은 도로망을 기본으로 도달 시간을 계산하는 것을 의미할 수 있으며, 차량의 경로, 현재 지점에서 가장 가까운 시설까지의 거리, 특정 건물의 서비스 영역, 다중 차량의 경로해석, 교통량 산정과 같은 기능을 제공할 수 있다. 예컨대, 교통지리정보시스템은 교통망(transportation network), 흐름(flows), 지형 정보, 및/또는 대지 사용 정보(land use pattern)로 구성할 수 있다. 교통지리정보시스템은 교통망, 흐름, 지형 정보, 및/또는 대지 사용 정보를 분석하고, 시각화할 수 있다. 교통지리정보시스템에 대한 데이터 모델은 도로망의 벡터 데이터(vector data)와 지형에 대한 격자의 레스터 데이터(raster data)로 구성될 수 있다. 제설 구역을 결정하기 위해 해당 도시(예: 서울시)의 도로망에 대한 벡터 데이터는 메모리(620)에 기 저장될 수 있다. 벡터 데이터는 각 형상의 ID와 길이를 사전에 정의할 수 있으며, 이에 기반하여 각 형상의 면적, 폭, 특성들은 자동으로 산정되거나 별도 입력이 가능할 수 있다. 네트워크 분석은 교차로의 회전 조건을 포함할 수 있다. 제설 작업 결정부(645)는 각 교차로와 도로에 정의된 속성 정보(예: 길이, 주행 속도, 및/또는 교차로 회전 제약)의 네트워크 분석으로 우선 제설 구역을 결정할 수 있다.In an embodiment, the snow removal operation determining unit 645 may determine the priority snow removal area based on the optimal amount of snow removal and the geographic traffic information system. For example, the optimal snow removal agent application amount may be determined based on weather information, road-related information, and/or snow load amount. Geographic information on the city's traffic network may be stored in the memory 620 in advance as a traffic geographic information system. For example, the city's transportation network 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 the priority snow removal area through the optimal amount of snow removal and network analysis of the transportation network of the transportation geographic information system. Network analysis can mean calculating the arrival time based on the road network, and functions such as the vehicle's route, the distance from the current point to the nearest facility, the service area of a specific building, route analysis of multiple vehicles, and traffic volume estimation. can provide For example, the GIS may consist of a transportation network, flows, topographic information, and/or land use patterns. The GIS may analyze and visualize traffic networks, flows, topographic information, and/or land use information. The data model for the GIS may consist of vector data of a road network and raster data of a grid for terrain. In order to determine a snow removal zone, vector data for a road network of a corresponding city (eg, Seoul) may be pre-stored in the memory 620 . In the vector data, the ID and length of each shape can be defined in advance, and the area, width, and characteristics of each shape can be automatically calculated or separately input based on this. Network analysis may include turning conditions at intersections. The snow removal operation determining unit 645 may determine the priority snow removal area by network analysis of attribute information (eg, length, driving speed, and/or intersection rotation restriction) defined for each intersection and road.
일 실시예에서, 프로세서(640)는 제설 작업 결정부(645)에 의해 결정된 제설 구역에 위치하는 적어도 하나의 제설 장치에 제설 작업을 수행하기 위한 제어 신호를 송신할 수 있다. 프로세서(640)는 제어 신호와 함께 결정된 최적의 제설제 살포량 또한 송신할 수 있다.In an embodiment, the processor 640 may transmit a control signal for performing a snow removal operation to at least one snow removal apparatus located in the snow removal area determined by the snow removal operation determination unit 645 . The processor 640 may also transmit the determined optimal amount of spraying the snow remover together with the control signal.
일 실시예에서, 프로세서(640)의 제설 작업 모니터링부(647)는 적어도 하나의 제설 장치가 수행하는 제설 작업을 모니터링 할 수 있다. 예컨대, 프로세서(640)는 제설 정보 수집 장치(210)로부터 제설 장치(220)가 수행하는 제설 작업 상태 현황 정보를 수신할 수 있으며, 이에 기반하여 제설 작업 현장의 작업 상황을 실시간으로 모니터링 할 수 있다.In an 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 apparatus. For example, the processor 640 may receive the snow removal operation state status information performed by the snow removal device 220 from the snow removal information collecting device 210, and based on this, the operation status of the snow removal operation site may be monitored in real time. .
일 실시예에서, 프로세서(640)는 제설 작업 모니터링부(647)에 의해 모니터링을 수행하며, 제설 정보 수집 장치(210)로부터 수신되는 기상 정보 및 도로 관련 정보에 기반하여 제설 장치의 제설 작업을 조정할 수 있다. 예컨대, 프로세서(640)는 제설 장치의 액체 살포량, 살포거리, 살포 방식 및 살포 시간을 가변적으로 조정할 수 있다.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 apparatus 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 a liquid spraying amount, a spraying distance, a spraying method, and a spraying time of the snow removal apparatus.
일 실시예에서, 프로세서(640)의 제설 작업 제공부(649)는 제설 정보 수집 장치(210) 및/또는 제설 장치(220)로부터 획득된 정보에 기반하여 제설 작업과 관련된 정보를 제공할 수 있다. 예컨대, 프로세서(640)의 제설 작업 제공부(649)는 제설 현황 정보를 시각화하여 디스플레이(630)에 표시할 수 있다. 프로세서(640)의 제설 작업 제공부(649)는 제설 현황 정보를 웹 기반으로 제공할 수 있다. 제설 현황 정보를 시각화하여 디스플레이(630)에 표시하거나, 및/또는 웹 기반으로 제공함에 따라, 제설 관리자와 웹을 이용하는 사용자들은 제설 작업 현황과 교통 정보를 실시간으로 확인할 수 있다. 예컨대, 시각화하여 제공되는 제설 현황 정보는 유지 관리 구역 선정, 도로 유형별 시간대 강수 경보, 지도 표출 정보 선택, 레이더 센서 기반 대기온도 정보, 지점 및 구역 표출정보, 및/또는 관측 및 예측 정보를 더 포함할 수 있다.In an embodiment, the snow removal operation providing unit 649 of the processor 640 may provide information related to the snow removal operation based on information obtained from the snow removal information collecting device 210 and/or the snow removal apparatus 220 . . For example, the snow removal operation providing unit 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 information on the snow removal status on a web-based basis. As the snow removal status information is visualized and displayed on the display 630 and/or provided on a web-based basis, the snow removal manager and users using the web can check the snow removal operation status and traffic information in real time. For example, the snow removal status information provided by visualization may further include maintenance area selection, precipitation warning for each road type, map display information selection, radar sensor-based air temperature information, point and area display information, and/or observation and prediction information. can
도 7은, 다양한 실시예들에 따른, 제설과 관련된 제어 신호를 송신하는 방법을 설명하기 위한 흐름도(700)이다.7 is a flowchart 700 for explaining a method of transmitting a control signal related to snow removal, according to various embodiments.
도 7을 참조하면, 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))는 710동작에서, 제설 정보 수집 장치(예: 도 2의 제설 정보 수집 장치(210))로부터 기상 정보 및 도로 관련 정보를 수신할 수 있다. 예컨대, 기상 정보는 기온, 상대 습도, 풍향, 풍속, 및/또는 일조량을 포함할 수 있으며, 도로 관련 정보는 노면의 온도와 노면 조건(예: 노면의 습윤 상태)를 포함할 수 있다.Referring to FIG. 7 , the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2 ) receives weather information from the snow removal information collection device (eg, the snow removal information collection device 210 of FIG. 2 ) in operation 710 ). and road-related information. For example, the weather information may include temperature, relative humidity, wind direction, wind speed, and/or amount of sunlight, and the road-related information may include a temperature of a road surface and a road surface condition (eg, a wet state of the road surface).
일 실시예에서, 제설 작업 관리 장치(230)는 720동작에서, 기상 정보 및 도로 관련 정보에 기반하여 도로 상태(예: 건조, 결빙, 융해, 적설량)를 확인할 수 있다.In an embodiment, the snow removal operation management apparatus 230 may check a road condition (eg, dryness, icing, thawing, snow load) based on weather information and road-related information in operation 720 .
일 실시예에서, 제설 작업 관리 장치(230)는 730동작에서, 확인된 도로 상태에 기반하여 제설 작업을 수행할 제설 구역 및 제설 구역에 살포할 제설제의 양을 결정할 수 있다. 예컨대, 제설 작업 관리 장치(230)는 확인된 도로 상태에 기반하여 적설량이 지정된 값을 초과하고, 노면의 온도가 지정된 값 이하인 구역을 우선적으로 제설 작업을 수행할 장소로 결정할 수 있다. 다른 예를 들어, 제설 작업 관리 장치(230)는 도로 정보 데이터베이스(예: 도 6의 도로 정보 데이터베이스(621b))에 저장된 도로 정보(예: 도로의 폭, 차로 수, 도로의 방향)에 기반하여 도로 제설 취약 구역으로 판단되는 구역을 우선적으로 제설 작업을 수행할 장소로 결정할 수 있다. 또 다른 예를 들어, 제설 작업 관리 장치(230)는 제설 정보 수집 장치(210)로부터 획득된 정보에 기반하여 구축된 빅 데이터(예: 제설 구역 데이터베이스(621d) 및 최적의 제설제 살포량 데이터베이스(621e))에 기반하여 심층신경망(deep neural network; DNN)을 이용하여 딥 러닝을 수행하여 제설 구역 및 제설 구역에 살포할 제설제의 양을 결정할 수 있다.In an embodiment, in operation 730 , the snow removal operation management apparatus 230 may determine 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 condition. For example, the snow removal operation management apparatus 230 may determine an area where the snowfall amount exceeds a specified value and the temperature of the road surface is below the specified value as a place to preferentially perform the snow removal operation, based on the checked road condition. As another example, the snow removal operation management device 230 is based on the 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 an area vulnerable to snow removal on the road may be determined as a place to perform a snow removal operation with priority. As another example, the snow removal operation management device 230 includes big data (eg, a snow removal area database 621d) and an optimal snow removal agent application amount database 621e constructed based on information obtained from the snow removal information collection device 210 . )), a deep neural network (DNN) may be used to perform deep learning to determine the snow removal area and the amount of the snow removal agent to be applied to the snow removal area.
다양한 실시예들에서, 미도시 되었으나, 제설 작업 관리 장치(230)는 도로 관련 정보에 기반하여 살포할 제설제의 종류를 더 결정할 수 있다. 예컨대, 도로 관련 정보는 도로의 속성 예컨대, 부식 발생 가능한 도로, 오르막길, 터널, 및/또는 교차로를 포함할 수 있다. 하지만 이에 한정하는 것은 아니다. 일 실시예에서, 제설 작업 관리 장치(230)는 도로 관련 정보 예컨대, 부식이 발생 가능한 도로인지 여부에 기반하여 살포할 제설제의 종류를 결정할 수 있다. 예컨대, 제설 작업 관리 장치(230)는 부식이 발생 가능한 도로에 제설 작업을 수행하는 것으로 결정되면, 이를 고려하여 예컨대, 염화계 제설제를 살포할 제설제로서 배제할 수 있다. 다른 예를 들어, 제설 작업 관리 장치(230)는 오르막 구간에 제설 작업을 수행하는 것으로 결정되면, 이를 고려하여 오르막길에서 미끄러지지 않도록, 모래를 살포할 제설제로서 결정할 수 있다.In various embodiments, although not shown, the snow removal operation management apparatus 230 may further determine the type of the snow removal agent to be sprayed based on road-related information. For example, road-related information may include properties of the road, such as erosion-prone roads, hills, tunnels, and/or intersections. However, the present invention is not limited thereto. In an embodiment, the snow removal operation management apparatus 230 may determine the type of snow removal agent to be sprayed based on road-related information, for example, whether the road is a corrosive road. For example, when it is determined that the snow removal operation management device 230 performs a snow removal operation on a road where corrosion may occur, for example, a chlorinated snow removal agent may be excluded as a snow removal agent to be sprayed in consideration of this. As another example, when it is determined that the snow removal operation is to be performed on the uphill section, the snow removal operation management apparatus 230 may determine the snow removal agent to spray sand so as not to slip on the uphill road in consideration of this.
다양한 실시예들에서, 미도시 되었으나, 제설 작업 관리 장치(230)는 제설 장치(220)가 수행할 제설 작업을 더 결정할 수 있다. 제설 작업은 밀어내기 제설, 블로우어로 투설, 및/또는 운반 제설을 포함할 수 있다.In various embodiments, although not shown, the snow removal operation management apparatus 230 may further determine a snow removal operation to be performed by the snow removal apparatus 220 . Snow removal operations may include push snow removal, blower snow removal, and/or transport snow removal.
일 실시예에서, 제설 작업 관리 장치(230)는 740동작에서, 제설 작업과 관련된 제어 신호를 제설 구역에 위치하는 적어도 하나의 제설 장치에 송신할 수 있다.In an embodiment, in operation 740 , the snow removal operation management apparatus 230 may transmit a control signal related to the snow removal operation to at least one snow removal apparatus located in the snow removal area.
일 실시예에서, 제설 작업 관리 장치(230)는 제설 장치에 결정된 살포할 제설제의 양을 송신한 후, 특정 구역에서 수행되는 제설 작업 현황에 대한 화면을 디스플레이(예: 도 6의 디스플레이(630))에 표시할 수 있다.In one embodiment, the snow removal operation management device 230 transmits the determined amount of the snow removal agent to be sprayed to the snow removal apparatus, and then displays a screen for the snow removal operation status performed in a specific area (eg, the display 630 of FIG. 6 ) )) can be indicated.
일 실시예에서, 미도시 되었으나, 제설 작업 관리 장치(230)는 제설 작업 현황을 모니터링하며, 제설 정보 수집 장치(210)로부터 수신되는 기상 정보 및 도로 관련 정보에 기반하여 제설 장치의 제설 작업을 조정할 수 있다.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 apparatus based on weather information and road-related information received from the snow removal information collection device 210 . can
도 8은, 다양한 실시예들에 따른, 장치들 간 신호 흐름을 설명하기 위한 도면(800)이다.8 is a diagram 800 for explaining a signal flow between devices according to various embodiments of the present disclosure.
도 8을 참조하면, 제설 정보 수집 장치(예: 도 2의 제설 정보 수집 장치(210))는 810동작에서, 기상 정보 및 도로 관련 정보를 획득할 수 있다. 제설 정보 수집 장치(210)는 820동작에서, 기상 정보 및 도로 관련 정보를 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))에 송신할 수 있다.Referring to FIG. 8 , the snow removal information collection apparatus (eg, the snow removal information collection apparatus 210 of FIG. 2 ) may acquire weather information and road-related information in operation 810 . The snow removal information collecting device 210 may transmit weather information and road-related information to the snow removal operation management apparatus (eg, the snow removal operation management apparatus 230 of FIG. 2 ) in operation 820 .
일 실시예에서, 제설 작업 관리 장치(230)는 830동작에서, 제설 정보 수집 장치(210)로부터 획득한 기상 정보 및 도로 관련 정보에 기반하여 제설 구역 및 제설 구역에 살포할 제설제의 양을 결정할 수 있다. 예컨대, 제설 작업 관리 장치(230)는 기상 정보 및 도로 관련 정보에 기반하여 도로 상태(예: 건조, 결빙, 융해, 적설량)를 확인하고, 이에 기반하여 제설 작업을 수행할 제설 구역 및 제설 구역에 살포할 제설제의 양을 결정할 수 있다.In an embodiment, the snow removal operation management device 230 determines, in operation 830 , the amount of the snow removal agent to be sprayed on the snow removal area and the snow removal zone 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 conditions (eg, dryness, icing, thawing, snow load) based on weather information and road-related information, and based on this, the snow removal area and the snow removal area to perform the snow removal operation. It is possible to determine the amount of snow removal agent to be sprayed.
일 실시예에서, 제설 작업 관리 장치(230)는 840동작에서, 결정된 제설 구역에 위치하는 제설 장치에 결정된 제설제의 양을 송신할 수 있다.In an embodiment, the snow removal operation management apparatus 230 may transmit the determined amount of the snow removal agent to the snow removal apparatus located in the determined snow removal area in operation 840 .
일 실시예에서, 제설제의 양을 수신한 제설 장치(220)는 850동작에서, 수신한 제설제의 양에 기반하여 제설제를 살포할 수 있다.In an embodiment, the snow removal apparatus 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 .
일 실시예에서, 미도시 되었으나, 제설 장치(220)는 제설 장치(220)의 위치 정보를 획득할 수 있다. 제설 작업 관리 장치(230)는 830동작에서, 제설 장치(220)로부터 수신되는 제설 장치(220)의 위치 정보를 더 고려하여 우선 제설 구역 및 제설 구역에 살포할 제설제의 양을 결정할 수 있다.In an embodiment, although not shown, the snow removal apparatus 220 may obtain location information of the snow removal apparatus 220 . In operation 830 , the snow removal operation management apparatus 230 may further consider the location information of the snow removal apparatus 220 received from the snow removal apparatus 220 to first determine the snow removal area and the amount of the snow removal agent to be sprayed in the snow removal area.
도 9는, 다양한 실시예들에 따른, 지도를 통해 제설 작업 현황을 도시한 도면(900)이다.9 is a view 900 illustrating a snow removal operation status through a map, according to various embodiments of the present disclosure.
도 9를 참조하면, 제설 작업 관리 장치(예: 도 2의 제설 작업 관리 장치(230))는 제설 정보 수집 장치(210)로부터 수신한 기상 정보 및 도로 관련 정보에 기반하여 도로 상태를 확인하고, 이에 기반하여 제설 작업을 수행할 제설 구역 및 제설 구역에 살포할 제설제의 양을 결정할 수 있다. 제설 작업 관리 장치(230)는 제설 작업과 관련된 제어 신호를 제설 구역에 위치하는 적어도 하나의 제설 장치에 송신할 수 있다.Referring to FIG. 9 , the snow removal operation management device (eg, the snow removal operation management device 230 of FIG. 2 ) checks the road condition based on the 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 in which the snow removal operation is to be performed and the amount of the snow removal agent to be applied to the snow removal area. The snow removal operation management apparatus 230 may transmit a control signal related to the snow removal operation to at least one snow removal apparatus located in the snow removal area.
일 실시예에서, 제설 작업 관리 장치(230)는 제설 장치에 결정된 제설제의 양을 송신한 후, 특정 구역에서 수행되는 제설 작업 현황(910)에 대한 화면을 디스플레이(예: 도 6의 디스플레이(630))에 표시할 수 있다. 예컨대, 제설 작업 현황(910)에 대한 화면은 제설 장치 예컨대, 이동형 제설 작업 차량(예: 도 1의 이동형 제설 작업 차량(120))의 경로 및 제설 작업 일정을 포함할 수 있다. 이에 한정하는 것은 아니며, 제설 작업 현황(910)에 대한 화면은 적설량 정보, 노면 온도 정보, 교통량 정보, 및/또는 도로 형상을 더 표시할 수 있다.In an embodiment, the snow removal operation management device 230 transmits the determined amount of the snow removal agent to the snow removal apparatus, and then displays a screen for the snow removal operation status 910 performed in a specific area (eg, the display of FIG. 630)) can be indicated. For example, the screen for the snow removal operation status 910 may include a route and a snow removal operation schedule of a snow removal device, for example, a mobile snow removal vehicle (eg, the mobile snow removal 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 snow amount information, road surface temperature information, traffic amount information, and/or road shape.
일 실시예에서, 제설 작업 현황(910)에 대한 화면을 표시함에 따라 제설 작업 관리 장치(230)의 사용자는 적어도 하나의 제설 장치가 수행하는 제설 작업 현항(910)을 실시간으로 모니터링 할 수 있다.In an embodiment, as the screen for the snow removal operation status 910 is displayed, the user of the snow removal operation management apparatus 230 may monitor the current snow removal operation status 910 performed by at least one snow removal apparatus in real time.

Claims (15)

  1. 제설 작업 관리 시스템에 있어서,In the snow removal operation management system,
    통신 회로;communication circuit;
    복수의 제설 정보 수집 장치들;a plurality of snow removal information collecting devices;
    복수의 제설 장치들; 및a plurality of snow removal devices; and
    제설 작업 관리 장치를 포함하며,a snow removal operation management device;
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 통신 회로를 통해, 상기 복수의 제설 정보 수집 장치들로부터 상기 복수의 제설 정보 수집 장치들의 위치에 대한 기상 정보 및 도로 관련 정보를 상기 통신 회로를 통해 상기 복수의 제설 정보 수집 장치들로부터 수신하고,Receiving, through the communication circuit, weather information and road-related information on the locations of the plurality of snow removal information collection devices from the plurality of snow removal information collection devices, from the plurality of snow removal information collection devices through the communication circuit,
    상기 기상 정보 및 상기 도로 관련 정보에 기반하여 도로 상태를 확인하고,Check the road condition based on the weather information and the road-related information,
    상기 확인된 도로 상태에 기반하여, 우선적으로 제설 작업을 수행할 제설 구역 및 상기 제설 구역에 살포할 제설제의 종류와 제설제의 양을 결정하고, 및based on the identified road conditions, determine a snow removal area to preferentially perform a snow removal operation, and a type and amount of snow removal agent to be sprayed on the snow removal area; and
    상기 통신 회로를 통해, 상기 제설 구역 및 상기 결정된 제설 구역에 살포할 상기 제설제의 종류 및 상기 제설제의 양을 포함하는 상기 제설 작업과 관련된 제어 신호를, 상기 통신 회로를 통해상기 복수의 제설 장치들 중 상기 결정된 제설 구역에 위치하는 적어도 하나의 제설 장치에 송신하도록 설정된 제설 작업 관리 시스템.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 on the snow removal area and the determined snow removal area, the plurality of snow removal apparatuses through the communication circuit A snow removal operation management system configured to transmit to at least one snow removal apparatus located in the determined snow removal area among them.
  2. 제 1 항에 있어서,The method of claim 1,
    상기 복수의 제설 정보 수집 장치들 각각은 센서 노드를 포함하며,Each of the plurality of snow removal information collecting devices includes a sensor node,
    상기 복수의 제설 정보 수집 장치들 각각에 포함된 센서 노드는 상기 상기 복수의 제설 장치들과 서로 연결되어 무선 센서 네트워크를 구성하도록 설정된 제설 작업 관리 시스템.A sensor node included in each of the plurality of snow removal information collecting devices is configured to be connected to the plurality of snow removal devices to form a wireless sensor network.
  3. 제 1 항에 있어서,The method of claim 1,
    상기 복수의 제설 정보 수집 장치들 각각은 카메라를 더 포함하며,Each of the plurality of snow removal information collecting devices further comprises a camera,
    상기 복수의 제설 정보 수집 장치들은,The plurality of snow removal information collecting devices,
    상기 카메라를 통해 획득되는 영상에 기반하여 강설 여부, 차량의 통행량, 및/또는 상기 차량의 이동 속도 중 적어도 하나를 측정하고, 및Measuring at least one of whether snowfall, the amount of vehicle traffic, and/or the moving speed of the vehicle based on the image obtained through the camera, and
    상기 측정된 차량의 이동 속도, 상기 차량의 통행량, 및/또는 상기 강설 여부 중 적어도 하나에 대한 정보를 상기 제설 작업 관리 장치에 송신하도록 설정된 제설 작업 관리 시스템.The snow removal operation management system is configured to transmit information on at least one of the measured moving speed of the vehicle, the amount of traffic of the vehicle, and/or whether the snow falls or not, to the snow removal operation management device.
  4. 제 1 항에 있어서,The method of claim 1,
    상기 복수의 제설 장치들은, 이동형 제설 장치 및 고정형 제설 장치를 포함하는 제설 작업 관리 시스템. The plurality of snow removal apparatuses, a snow removal operation management system including a movable snow removal apparatus and a fixed snow removal apparatus.
  5. 제 4 항에 있어서,5. The method of claim 4,
    상기 이동형 제설 장치는 속도 센서 및/또는 GPS를 더 포함하며,The mobile snow removal device further comprises a speed sensor and / or GPS,
    상기 이동형 제설 장치는,The mobile snow removal device,
    상기 속도 센서를 통해 획득되는 상기 이동형 제설 장치의 속도 정보 및 상기 GPS를 통해 획득되는 상기 이동형 제설 장치의 위치 정보를 포함하는 운행 정보를 상기 제설 작업 관리 장치에 송신하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to transmit operation information including speed information of the mobile snow removal apparatus acquired through the speed sensor and location information of the mobile snow removal apparatus acquired via the GPS to the snow removal operation management apparatus.
  6. 제 1 항에 있어서,The method of claim 1,
    상기 적어도 하나의 제설 장치는 디스플레이를 포함하며,The at least one snow removal device comprises a display,
    상기 적어도 하나의 제설 장치는,The at least one snow removal device comprises:
    상기 제설 작업 관리 장치로부터 수신한 상기 제설 작업과 관련된 제어 신호에 대한 사용자 인터페이스를 상기 디스플레이에 표시하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to display a user interface for a control signal related to the snow removal operation received from the snow removal operation management device on the display.
  7. 제 6 항에 있어서,7. The method of claim 6,
    상기 적어도 하나의 제설 장치는,The at least one snow removal device comprises:
    상기 제설 구역 및/또는 상기 살포할 제설제의 양 중 적어도 하나의 조정이 가능한 사용자 인터페이스를 상기 디스플레이에 표시하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to display a user interface capable of adjusting at least one of the snow removal zone and/or the amount of the snow removal agent to be sprayed on the display.
  8. 제 1 항에 있어서, The method of claim 1,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 확인된 도로 상태에 기반하여, 살포할 제설제의 종류 및/또는 상기 우선적으로 제설 작업을 수행할 제설 구역에서 수행 가능한할 제설 작업을 더 결정하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to further determine a type of snow removal agent to be sprayed and/or a snow removal operation to be performed in the snow removal area in which the snow removal operation is to be performed preferentially, based on the identified road condition.
  9. 제 1 항에 있어서, The method of claim 1,
    상기 제설 작업 관리 장치는 메모리를 더 포함하며,The snow removal operation management device further comprises a memory,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 우선적으로 제설 작업을 수행할 제설 구역 및 상기 제설 구역에 살포할 제설제의 종류와 제설제의 양을 상기 메모리에 저장하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to store, in the memory, a type and amount of a snow removal agent to be sprayed on a snow removal area in which the snow removal operation is to be performed preferentially in the snow removal area.
  10. 제 9 항에 있어서,10. The method of claim 9,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 메모리에 저장된 상기 제설 구역 및 상기 제설 구역에 살포할 제설제의 종류와 제설제의 양을 빅 데이터(big data)로 구축하고, 상기 빅 데이터(big data)를 딥 러닝(deep learning) 방식으로 분석하여, 상기 제설 구역 및 상기 제설 구역에 살포할 제설제의 종류와 제설제의 양을 결정하도록 설정된 제설 작업 관리 시스템.The snow removal zone stored in the memory and the type and amount of the snow removal agent to be sprayed on the snow removal zone are built as big data, and the big data is used in a deep learning method. A snow removal operation management system configured to analyze the snow removal area and determine the type and amount of the snow removal agent to be sprayed on the snow removal zone.
  11. 제 10 항에 있어서,11. The method of claim 10,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 복수의 제설 정보 수집 장치들로부터 수신되는 상기 기상 정보 및 상기 도로 관련 정보를 상기 메모리에 저장하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to store the weather information and the road-related information received from the plurality of snow removal information collecting devices in the memory.
  12. 제 1 항에 있어서,The method of claim 1,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 적어도 하나의 제설 장치의 제설 작업에 대해 모니터링을 수행하고, 상기 적어도 하나의 제설 장치의 제설 작업 현황, 상기 제설 구역에 위치하는 적어도 하나의 제설 정보 수집 장치로부터 수신되는 기상 정보 및 도로 관련 정보에 기반하여 상기 제설 구역 및 상기 제설 구역에 살포할 제설제의 양을 조정하도록 설정된 제설 작업 관리 시스템.Monitoring the snow removal operation of the at least one snow removal device, the snow removal operation status of the at least one snow removal device, weather information and road-related information received from the at least one snow removal information collecting device located in the snow removal area A snow removal operation management system set to adjust the snow removal zone and the amount of snow removal agent to be sprayed on the snow removal zone based on the snow removal zone.
  13. 제 1 항에 있어서,The method of claim 1,
    상기 제설 작업 관리 장치는 디스플레이를 더 포함하며,The snow removal operation management device further comprises a display,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 제설 구역 및 상기 제설 구역에 살포할 제설제의 양을 지리정보시스템을 통해 지도로서 상기 디스플레이에 표시하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to display the snow removal zone and the amount of snow removal agent to be sprayed on the snow removal zone on the display as a map through a geographic information system.
  14. 제 1 항에 있어서,The method of claim 1,
    상기 제설 작업 관리 장치는,The snow removal operation management device,
    상기 확인된 도로 상태에 기반하여, 적설량이 지정된 값을 초과하고, 도로의 온도가 지정된 값 이하인 구역을 상기 우선적으로 제설 작업을 수행할 제설 구역으로 결정하거나, 또는based on the identified road condition, determining an area in which the snow load exceeds a specified value and the temperature of the road is below the specified value as the snow-removing area in which the snow removal operation is to be performed preferentially; or
    상기 확인된 도로 상태 및 도로의 속성에 기반하여, 도로 제설 취약 구역으로 확인된 구역을 상기 우선적으로 제설 작업을 수행할 제설 구역으로 결정하도록 설정된 제설 작업 관리 시스템.A snow removal operation management system configured to determine an area identified as a vulnerable road snow removal area as a snow removal area in which the snow removal operation is to be performed preferentially, based on the identified road condition and road attributes.
  15. 제 14 항에 있어서,15. The method of claim 14,
    상기 도로의 속성은, 부식 발생 가능한 도로, 오르막길, 터널, 또는 교차로 중 적어도 하나를 포함하는 제설 작업 관리 시스템.The property of the road is a snow removal operation management system including at least one of a corrosion-probable road, an uphill road, a tunnel, or an intersection.
PCT/KR2021/009307 2020-07-20 2021-07-20 Snow removal operation management system using internet of things (iot) WO2022019603A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2020-0089499 2020-07-20
KR1020200089499A KR102475003B1 (en) 2020-07-20 2020-07-20 SYSTEM FOR MANAGING SNOW REMOVAL USING IoT

Publications (1)

Publication Number Publication Date
WO2022019603A1 true WO2022019603A1 (en) 2022-01-27

Family

ID=79729885

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2021/009307 WO2022019603A1 (en) 2020-07-20 2021-07-20 Snow removal operation management system using internet of things (iot)

Country Status (2)

Country Link
KR (1) KR102475003B1 (en)
WO (1) WO2022019603A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102548842B1 (en) * 2022-05-20 2023-06-28 (주) 제이진 Smart box containing liquid snow remover
JP7326560B1 (en) * 2022-08-19 2023-08-15 章史 葛西 System and program for snow removal decision support, road management method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002099983A (en) * 2000-09-21 2002-04-05 Casio Comput Co Ltd Car allocation indicating device, car allocation system, car allocation method and storage medium
KR20150041926A (en) * 2013-10-10 2015-04-20 주식회사 자동기 management system for Snow removal medicine chloride sprinkler using artificial satellite and management method using Thereof
KR101581299B1 (en) * 2015-08-03 2016-01-04 창전이앤시 주식회사 Smart comprehensive control system for road snow removal
KR101682940B1 (en) * 2016-05-03 2016-12-07 한국씨티에스주식회사 Total management system for removing snow and ice on road and method for processing thereof
KR102034027B1 (en) * 2019-04-26 2019-10-18 (주)씨앤에스아이 System and method for automatically spreading liquid snow removal for road having black ice removal function

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002099983A (en) * 2000-09-21 2002-04-05 Casio Comput Co Ltd Car allocation indicating device, car allocation system, car allocation method and storage medium
KR20150041926A (en) * 2013-10-10 2015-04-20 주식회사 자동기 management system for Snow removal medicine chloride sprinkler using artificial satellite and management method using Thereof
KR101581299B1 (en) * 2015-08-03 2016-01-04 창전이앤시 주식회사 Smart comprehensive control system for road snow removal
KR101682940B1 (en) * 2016-05-03 2016-12-07 한국씨티에스주식회사 Total management system for removing snow and ice on road and method for processing thereof
KR102034027B1 (en) * 2019-04-26 2019-10-18 (주)씨앤에스아이 System and method for automatically spreading liquid snow removal for road having black ice removal function

Also Published As

Publication number Publication date
KR102475003B1 (en) 2022-12-06
KR20220010859A (en) 2022-01-27

Similar Documents

Publication Publication Date Title
KR102136131B1 (en) Automatic road ice prediction system and operation method of the Same
WO2022019603A1 (en) Snow removal operation management system using internet of things (iot)
JP2023036624A (en) Data collection device, road status evaluation support device, and program
KR101365634B1 (en) Automatically upon snows or ice road spray to spray my spray system unattended
KR102380856B1 (en) Deicer scatter system and method with autonomous operation function of winter service truck
KR102262810B1 (en) Variable speed limit management system and judgment method according to raod conditions
KR102207577B1 (en) Black Ice Control System, Signs for thin ice control systems
KR102349016B1 (en) Management system for analysis of road
KR20190105165A (en) Road Weather Information Forecasting System
US11080994B2 (en) Smart road sensor
CN117558129B (en) Intelligent positioning system and method for expressway construction
CN110962886A (en) Intelligent track monitoring and early warning system
JP2972173B2 (en) Road surface freezing prevention method, road surface information movement collection system, and road surface freezing prevention device
KR102380853B1 (en) Road deiceing solution injection system with autonomous operation function
CN115410403B (en) Road vehicle positioning tracking method and device based on passive perception and readable medium
KR101858361B1 (en) System for estimating black ice
US20240149899A1 (en) Risk of occurrence calculating apparatus, risk of occurrence displaying system, and risk of occurrence calculating method
US7583818B2 (en) Method and system for collecting traffic information using thermal sensing
JP7233826B1 (en) EMERGENCY TRAFFIC REGULATION JUDGMENT SUPPORT SYSTEM AND PROGRAM, ROAD MANAGEMENT METHOD
JP2024056108A (en) Emergency traffic control decision support system and program, road management method
KR20110088654A (en) System for managing and operating bicycle-road and equipment for investigating therefor
WO2022220509A1 (en) System and method for making snow removal decision
KR100912463B1 (en) Load managing intergration system based on the Geographic information system and controlling method for the same
KR102420854B1 (en) System and method for providing mobile disaster prevention services
JP7387041B1 (en) Emergency traffic regulation decision support system and program, road management method

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21846171

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21846171

Country of ref document: EP

Kind code of ref document: A1