SYSTEM FOR DEICING BLACK ICE ON ROAD SURFACE USING INVISIBLE LIGHT BASED ON AI
20250376823 ยท 2025-12-11
Inventors
Cpc classification
G01N25/00
PHYSICS
G01W1/02
PHYSICS
E01H5/106
FIXED CONSTRUCTIONS
International classification
E01H5/10
FIXED CONSTRUCTIONS
G01N25/00
PHYSICS
G01W1/02
PHYSICS
Abstract
The system for deicing black ice includes a plurality of laser scanners that are arranged at intervals along a road, each laser scanner including a light source unit, a non-contact temperature sensor, and a control unit that controls an operation of radiating the laser to the area in charge, a weather sensor that measures a temperature and humidity, and an integrated controller that communicates with the plurality of laser scanners. The integrated controller determines whether the laser is radiated to the road surface based on at least one of the measured temperature and humidity, and when the laser radiation is determined, generates a control signal to activate at least one laser scanner, and the control unit determines a heating area, and generates a pulse signal to turn on/off a light source unit so that the laser is radiated in accordance with a shape and range of the heating area.
Claims
1. A system for deicing black ice on a road surface using invisible light based on AI, comprising: a plurality of laser scanners that are arranged at intervals along a road, each laser scanner including a light source unit that emits a laser, a non-contact temperature sensor that measures a temperature of an area in charge of the road surface, and a control unit that controls an operation of radiating the laser to the area in charge; a weather sensor that measures a temperature and humidity of a surrounding environment; and an integrated controller that communicates with the plurality of laser scanners, wherein the integrated controller determines whether the laser is radiated to the road surface based on at least one of the temperature and humidity measured by the weather sensor, and when the laser radiation is determined, generates a control signal to activate at least one laser scanner to be operated among the plurality of laser scanners, and the control unit of the laser scanner activated by the integrated controller determines a heating area requiring the laser radiation in the area in charge based on the temperature measured by the non-contact temperature sensor, and generates a pulse signal to turn on/off a light source unit of the at least one activated laser scanner so that the laser is radiated in accordance with a shape and range of the heating area.
2. The system of claim 1, wherein the laser scanner includes a galvanometer including two reflectors each rotating about different orthogonal axes x and y, and the control unit sets a cycle of the pulse signal based on a speed at which the reflector rotates.
3. The system of claim 2, wherein the control unit sets an on-off duty ratio of the pulse signal based on a ratio of a width of the heating area to a length of the scanning line of the laser that can be radiated to the road surface by the galvanometer.
4. The system of claim 3, wherein the control unit sets the heating area encompassing a plurality of points with different temperatures measured by the non-contact temperature sensor, and controls the galvanometer so that the speed at which the reflector rotates varies based on the temperature difference.
5. The system of claim 1, wherein each of the laser scanners further includes an ultrasonic sensor that detects a distance from an object existing on the road surface, and the control unit controls the light source unit to be turned off when the ultrasonic sensor detects the object within a preset distance.
6. The system of claim 1, further comprising: a server that remotely communicates with the integrated controller, wherein the server transmits a control command for controlling each of the plurality of scanners to the integrated controller.
7. The system of claim 1, further comprising: a camera that captures the road surface, wherein the integrated controller determines a road surface condition by analyzing a road surface image captured by the camera through an AI learning model, and determines whether the black ice is generated on the road surface and whether the laser is radiated to the road surface according to the determined road surface condition.
8. The system of claim 7, wherein the integrated controller determines whether to activate the laser scanner based on big data including topographical characteristics, regional weather, temperature, and humidity information.
9. The system of claim 1, further comprising: a camera that captures the road surface, wherein the integrated controller detects topography on the road surface by analyzing the image captured by the camera through an AI learning model, and controls the laser scanner to selectively radiate the laser according to the topography on the road surface.
10. The system of claim 2, wherein each of the laser scanners further includes an actuator that changes a direction in which the galvanometer is directed, and the control unit controls the actuator to change the direction of the laser scanner toward the heating area.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0022]
[0023]
[0024]
[0025]
[0026]
[0027]
[0028]
DETAILED DESCRIPTION
[0029] Hereinafter, embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. In addition, in describing the present disclosure, when it is decided that a detailed description for known functions or configurations related to the present disclosure may obscure the gist of the present disclosure, the detailed description thereof will be omitted. Further, terms to be described later are defined in consideration of functions in the present disclosure and may be changed depending on the intention or relationship of users and operators. Therefore, these terms should be defined based on contents throughout the present specification.
[0030]
[0031] Referring to
[0032] In the illustrated embodiment, the system includes, but is not limited to, three laser scanners 100-1, 100-2, and 100-n, and may include two laser scanners or more than three laser scanners.
[0033] The plurality of laser scanners 100-1, 100-2, and 100-n are arranged at intervals along the road. In addition, the laser scanners 100-1, 100-2, and 100-n may radiate a laser to the road surface. The method of radiating a laser may be scanning. In addition, the laser scanners 100-1, 100-2, and 100-n include a non-contact temperature sensor that measures a temperature of a road surface, and the non-contact temperature sensor measures temperatures of a plurality of points on the road surface. The configuration and operation of the laser scanner for scanning a laser on the road surface and measuring the temperature of the road surface will be described in detail below with reference to
[0034] In the embodiment illustrated in
[0035] In the embodiment illustrated in
[0036] The integrated controller 200 communicates with the plurality of laser scanners 100-1, 100-2, and 100-n in a wired or wireless communication manner. The integrated controller 200 may individually control each of the plurality of laser scanners 100-1, 100-2, and 100-n. The integrated controller 200 may transmit a control signal to at least one of the plurality of laser scanners 100-1, 100-2, and 100-n through an established communication method.
[0037] The communication method connecting the integrated controller 200 and the laser scanners 100-1, 100-2, and 100-n may be serial communication or Ethernet communication. For example, the integrated controller 200 may be connected to the plurality of laser scanners 100-1, 100-2, and 100-n through communication cables each connected to a plurality of communication ports. The integrated controller 200 may transmit the control signals for controlling each of the plurality of laser scanners 100-1, 100-2, and 100-n through the communication connection.
[0038] In addition, the integrated controller 200 may receive signals from each laser scanner 100-1, 100-2, and 100-n through the communication connection. The integrated controller 200 may receive a signal about the temperature of the road surface measured by the non-contact temperature sensor of the laser scanner. In addition, the integrated controller 200 may receive signals on information such as defrost operation status, time elapse, and detection of objects in front, from each of the plurality of laser scanners 100-1, 100-2, and 100-n.
[0039] The integrated controller 200 may determine whether the black ice is generated on the road surface and whether the laser is radiated to the road surface through an AI learning model. In other words, the laser radiation of the laser scanner 100 to the road surface is performed not by a manager's command, but by automatic control of the integrated controller 200. The AI learning model may be used to increase the accuracy of determination. For the machine learning, actual data and macroscopic data about the environment around the road may be collected.
[0040] The integrated controller 200 may include a camera 210 that captures the road surface. The camera 210 may be a typical IP camera that captures real images, or it may be a thermal image camera or a night vision camera that allows easy identification of objects even at night. In another embodiment, the camera 210 may not be included in the integrated controller 200 but may be configured like a CCTV installed on a separate structure, such as a pillar. In this case, the camera 210 may communicate with the integrated controller 200 through various wired/wireless communication methods.
[0041] The road surface image captured by the camera 210 may be transmitted to the integrated controller 200, and the integrated controller 200 may analyze the captured road surface image. The integrated controller 200 may use an AI learning model to analyze the image captured by the camera 210.
[0042] The AI learning model may identify vehicles, people, animals, road facilities, etc., from images. For example, the AI learning model distinguishes between people walking, people falling, and people riding bicycles. For example, the AI learning model distinguishes a bird flying across a road, or an animal carcass hit by a car, etc. Accordingly, the integrated controller 200 may detect topography of the road surface from the image. In the embodiment illustrated in
[0043] In addition, the AI learning model may analyze the image and determine the condition of the captured road surface. The AI learning model may extract feature vectors by analyzing the road surface image captured by the camera 210 in real time. The feature vector may be obtained by extracting a statistical moment vector for a luminance component distribution for a sample area in an image and extracting feature vectors for each wavelength based on multidimensional small field segmentation for the luminance component distribution. A database for determining road surface conditions from the feature vectors may be included in the integrated controller 200. The database stores feature vectors extracted for dry road surfaces, wet road surfaces, ice road surfaces, and frost road surfaces. By comparing feature vectors extracted from image samples with moment feature vectors stored in the database in real time, the road surface condition indicated by the feature vectors that have similarity or consistency with the trend of such feature vectors may be determined to be the captured road surface condition.
[0044] The integrated controller 200 may control the laser scanner to selectively radiate the laser according to the topography of the road surface. The topography of the road surface may be detected by allowing the AI learning model to analyze the road surface image captured by the camera 210. For example, the black ice may be generated, but there is no need to heat installations such as a divider in the middle of a carriageway or a sound barrier at an edge of a road. When dry grass or wood is heated with a laser in winter, there is a risk of fire. Accordingly, the integrated controller 200 may control the laser scanner 100 so that the laser is not radiated to the heating area even if it belongs to the heating area. Areas with uneven road surfaces are prone to accumulation of water and formation of ice, so sufficient heating is necessary. Therefore, the integrated controller 200 may control the laser scanner 100 so that a large amount of laser energy may be transmitted to these locations.
[0045] The integrated controller 200 includes a weather sensor 220 that measures the temperature and humidity of the surrounding environment. The black ice is very likely to be generated when the road surface is wet due to rain, snow, fog, etc., and the temperature falls below zero. The weather sensor 220 measures the temperature and humidity of the environment around the road where the system is built, making it possible to whether there is an environment in which black ice may form on the road surface under jurisdiction. The weather sensor 220 may be implemented as a weather observation device, and the measured temperature and sensor may be displayed in numerical values through a display device. In this case, a local manager may check a weather station and manually activate the laser scanner. In addition to the temperature and humidity, the weather sensor 220 may further measure environmental factors such as air quality, noise, ultraviolet rays, wind direction, and wind speed. In another embodiment, the weather sensor 220 may not be included in the integrated controller 200 but may be configured as an independent device installed on a separate structure, such as a tall pillar. In this case, the weather sensor 220 may communicate with the integrated controller 200 through various wired/wireless communication methods.
[0046] The temperature/humidity information measured by the weather sensor 220 may be used to supplement the road surface condition determined by the AI module from the image. For example, when the road surface condition predicted by the AI learning module is icy road or wet road, if the temperature of the road surface is below zero or the air temperature is 4 C. or lower, the road surface is determined to be icy road.
[0047] The integrated controller 200 determines whether the laser is radiated to the road surface based on at least one of the temperature and humidity measured by the weather sensor 220. The standard for determining whether to radiate the laser may be a preset temperature and/or humidity range as the black ice generation conditions, and/or may be a result predicted by the machine learning. For example, when the temperature measured by the weather sensor 220 is below zero and the humidity is 80% or more, it is determined to perform the laser radiation to the road surface. Alternatively, for example, by tracking weather fluctuations for 24 hours, it is determined to perform the laser radiation when it rains during the day and the temperature drops sharply during the night to lead to the possibility of frost forming on the road or freezing of accumulated rainwater. Alternatively, the integrated controller 200 may make determinations that reflect geographical influences such as bridges or mountain valleys.
[0048] When the integrated controller 200 determines to radiate the laser, it activates at least one laser scanner to be operated among the plurality of laser scanners 100-1, 100-2, and 100-n. The activation may be implemented in a various forms, such as turning on a switch that supplies power to the laser scanner, transmitting an enable signal to the control unit of the laser scanner, or releasing a blocking screen that blocks the front of the laser scanner. The integrated controller 200 may selectively activate the laser scanners 100-1, 100-2, and 100-n. The integrated controller 200 may select the laser scanners 100-1, 100-2, and 100-n to be activated depending on the location and environmental conditions.
[0049] The activated laser scanners 100-1, 100-2, and 100-n determine the heating area requiring the laser radiation in the area in charge based on the temperature measured by the non-contact temperature sensor. That is, the laser scanner 100 according to the present disclosure radiates the laser to a necessary portion of the entire area capable of laser scanning. This will be described below in detail with reference to
[0050] The activated laser scanners 100-1, 100-2, and 100-n generate pulse signals that control a light source unit of the activated laser scanner to be turned on and off so that the laser is radiated in response to the shape and range of the heating area. This will be described below in detail with reference to
[0051] The system for deicing black ice may further include a server that remotely communicates with the integrated controller 200. The network for remote communication may be an Internet network. In this case, the integrated controller 200 and the server may perform communication in compliance with the TCP/IP protocol. The remote communication may involve multiple communication networks rather than just one.
[0052] For example, the integrated controller 200 and the server may be connected via a mobile communication network such as LTE or a local area network (LAN) such as Wi-Fi. The integrated controller 200 may notify the server of the information processed by the signals received from the laser scanners 100-1, 100-2, and 100-n.
[0053] The information that the integrated controller 200 notifies to the server through such remote communication may include an identifier such as a serial number of each laser scanner, a plurality of points where the non-contact temperature sensor corresponding to the laser scanner measures the temperature of the road surface, and the temperature measured at that point. The notification information may be the road surface image captured by the camera 210. The notification information may be the temperature and humidity measured by the weather sensor 220.
[0054] The server may be connected to one or more terminals (not illustrated) through the remote communication. The terminal may be connected to the server by the user to check the information notified to the server from the integrated controller 200, and transmit commands to control one or more laser scanners 100-1, 100-2, and 100-n.
[0055] The server may include the AI learning model. The server may use the AI learning model to analyze the information received from the integrated controller 200. For example, the AI module of the server may be trained from accumulated data under what temperature and humidity conditions the black ice is formed on the road surface. The AI module may train whether to effectively deice or prevent the black ice on the road surface when a certain heating area is set or a laser is irradiated in a certain way.
[0056] In addition, the integrated controller 200 may determine whether to activate the laser scanner 100 based on big data including topographical characteristics, regional weather, temperature, and humidity information. For example, the integrated controller 200 may acquire information such as climate change throughout the year, weather forecast, and surrounding rivers in a specific area, highly evaluate the possibility of black ice occurring on a specific road or road surface through the AI learning model, and command effective or preventive laser radiation to the laser scanner 100 in charge of the corresponding area. Such big data may be provided from the server.
[0057] The system for deicing black ice according to the present disclosure may have an effect of managing a wide road surface, setting the necessary heating area in the road surface, effectively radiating the laser to the heating area, securing a long lifespan of the device, providing adaptive defrosting measures to various road environments using the camera, and preventing the black ice before the black ice occurs.
[0058]
[0059] Referring to
[0060] First, the laser scanner 100 is arranged toward the road somewhere at the edge of the road or bridge. The arrangement form of the laser scanner 100 is not limited. In one arrangement form, as illustrated in
[0061] The light source unit 130 emits laser, which is invisible light. The laser may have a wavelength and/or power suitable to increase the temperature of the road surface. The wavelength may be determined in an area where road paving materials such as asphalt may absorb laser energy well. The output may be determined depending on the distance from the laser scanner 100 to the road surface or the defrost speed.
[0062] The laser output from the light source unit 130 is guided by the waveguide 140 connected to the galvanometer 110. The waveguide 140 may be an optical fiber.
[0063] The galvanometer 140 changes the direction in which the laser entering through the waveguide 140 travels. The galvanometer 140 includes a reflector that rotates about two axes x and y that are orthogonal to each other. The reflector may be a mirror. Since the two reflectors and the laser's incident points are precisely aligned with each other, the reflectors turn at any angle, so the laser moves toward the shifted point by an amount corresponding to that angle. In addition, each reflector may rotate repeatedly by a motor. The repeated rotation operation of the two reflectors enables the laser to perform two-dimensional plane scanning. The galvanometers or galvo scanners are already well known to those skilled in the art, and therefore, detailed descriptions thereof will be omitted.
[0064] The galvanometer 140 is connected to the actuator 150. The actuator 150 changes the direction of the galvanometer 140. In the illustrated embodiment, the actuator 150 provides a left-right rotation about a vertical axis and an up-down rotation about a horizontal axis.
[0065] The infrared temperature sensor 120 or PIR sensor is a non-contact temperature sensor. The infrared temperature sensor 120 is attached to the side of the main body of the galvanometer 110 and moves together by the operation of the actuator 150. As a modified example, the infrared temperature sensor 120 may be configured separately from the galvanometer 110. In this case, a separate actuator is configured for the infrared temperature sensor 120 to enable the infrared temperature sensor 120 to measure the temperatures of various points distributed on the road surface. Next, this will be described with reference to
[0066]
[0067] The laser scanner 100 located on the curb looks at the road surface through the opening. The laser scanner 100 has an area in charge 400 from which it will deice black ice on the road surface. The area in charge 400 for one laser scanner 100 may be designated at the time of installation of the laser scanner 100, and after installation, each area in charge 400 may be designated through the alignment and allocation process between a series of plural laser scanners 100. The points on the road surface are virtual points and represent points where the temperature of the area in charge 400 is measured by the infrared temperature sensor 120. The galvanometer 110 and the infrared temperature sensor 120 move by the operation of the actuator 150, and the infrared temperature sensor 120 detects infrared rays generated at different points on the road surface while moving along a predetermined path. The temperature corresponding to the detected infrared rays may be transmitted from the laser scanner 100 to the integrated controller 200 through the communication connection.
[0068] In the embodiment of
[0069] Referring back to
[0070] The control unit 160 may be configured to perform the above controls only when receiving a signal activating the laser scanner 100 from the integrated controller 200.
[0071] The control unit 160 disclosed in this specification may include or be implemented with a processor, SOC (System On Chip), embedded chip, ARM, SAS, cloud-based driving program, etc.
[0072]
[0073]
[0074] The area in charge 400 includes sub-areas 401, 402, 403, and 404 divided into four based on the area that may be scanned by the galvanometer 110 of the laser scanner 100. The control unit 160 may control the actuator 150 to change the direction of the galvanometer 110 toward each of the sub-areas 401, 402, 403, and 404. In addition, the control unit 160 may control the laser scanner 100 to radiate the laser corresponding to the shape and range of the heating area belonging to each sub-area 402, 403, and 404, 401. Specifically, the control unit 160 generates the pulse signal for the light source unit 130.
[0075]
[0076]
[0077] First, referring to
[0078] In addition,
[0079] The starting and end points of the laser scan may vary depending on the shape and range of the heating area 410. In the case of the embodiment of
[0080] Here,
[0081] Meanwhile, the speed at which the laser radiation location moves may vary. Specifically, the speed at which the reflector of the galvanometer rotates may vary. First, the speed may vary depending on whether the laser reaches the heating area. Referring to
[0082] Second, the speed is based on the temperature difference measured within the heating area. For example, the x-axis moving reflector of the galvanometer 110 rotates relatively more slowly when laser scanning the sub-area 402 with a temperature of 2 C., which is relatively lower than the temperature of the sub-area 403 of 1 C. The slow rotation allows a larger amount of laser energy to be injected into the road surface. Conversely, when scanning a sub-area with a relatively high temperature, the x-axis moving reflector of the galvanometer 110 rotates relatively quickly. The fast moving speed may increase efficiency by shortening the time to complete the black ice deicing operation.
[0083] The laser scanning speed or the rotation speed of the reflector of the galvanometer may be calculated in the control unit 160. The control unit 160 may control the galvanometer 110 to change the speed at which the laser scanner 100 scans the laser based on the temperature difference at the measured point.
[0084] As another modified example, the number of times of cycles for scanning the laser to the sub-area may vary depending on the measured temperature. That is, the laser scanner 100 stays longer for a heating are with a relatively lower temperature and stays shorter for a heating area with a relatively higher temperature to scan the laser.
[0085]
[0086] Referring to
[0087]
[0088] The control unit 160 may set the cycle of the pulse signal based on the speed at which the reflector of the galvanometer 110 rotates. In the embodiment of
[0089] The control unit 160 may set the on-off duty ratio of the pulse signal based on the ratio of the width of the heating area to the length of the scan line of the laser that can be irradiated to the road surface by the galvanometer 110. In the illustrated embodiment, the width of the heating area is of the total scan line length, so the control unit 160 generates the pulse signal with the duty ratio of .
[0090]
[0091] Referring to
[0092] As described above, according to the system of the present disclosure, it is possible to deice the black ice generated on the road surface by controlling the radiation of the invisible light. It is possible for the weather sensor to accurately determine whether to deice the black ice, and by setting the heating area in a part of the road surface, it is possible for the non-contact temperature sensor to exactly radiate the laser to the required locations. Accordingly, it is possible to deice the black ice on the road surface or prevent the black ice from being generated on the road surface.
[0093] Although embodiments of the present disclosure have been illustrated and described, the present disclosure is not limited to the above-mentioned specific embodiment, but May be variously modified by those skilled in the art to which the present disclosure pertains without departing from the spirit and scope of the present disclosure as claimed in the claims. In addition, such modifications should also be understood to fall within the scope of the present disclosure.