KR20240015606A - Snowmelting service providing device, system, method and program using artificial intelligence of things - Google Patents

Abstract

According to an embodiment of the present invention, an apparatus for providing snowmelting services is provided. The device includes at least one processor; and a memory storing instructions that instruct the at least one processor to perform at least one operation. In addition, the at least one operation includes receiving a road location from a user terminal, transmitting the road location to a weather server, and receiving the road location and wind speed and weather corresponding to the time at which the road location is transmitted from the weather server. Receiving action; Receiving an air temperature from an air temperature sensor, receiving a first air humidity from an air humidity sensor, and determining a first freezing rate using the air temperature, the air humidity, the wind speed, the weather, and the road location; When the first freezing rate is greater than a preset first reference freezing rate, the road temperature is received from a road temperature sensor, and the road width and road slope corresponding to the road location and the first freezing rate and the road temperature are used. An operation of determining a second freezing rate; and transmitting a power supply signal to the heating cable when the second freezing rate is greater than a predetermined second reference freezing rate.

Description

Snowmelting service provision device, system, method and program using AIOT {SNOWMELTING SERVICE PROVIDING DEVICE, SYSTEM, METHOD AND PROGRAM USING ARTIFICIAL INTELLIGENCE OF THINGS}

The present invention relates to a snowmelting service providing device, system, method, and program using AIOT.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

Frozen roads frequently occur due to winter weather, and the damage caused by this is increasing.

Snow removal equipment can be used only on roads where snow removal equipment can enter. However, it takes a lot of time for the snow removal equipment to arrive on the road and melt the road, and on roads where snow removal equipment cannot enter, snow removal equipment must be used. Use is limited.

To solve this problem, a snow melting system is being introduced. A snow melting system is a system that installs a heating cable on the road and supplies power to the heating cable to melt the road.

However, a problem arises in which excessive power is consumed unnecessarily when operating the snow melting system.

The purpose of the present invention is to provide a snowmelting service providing device, system, method, and program using AIOT that determines the freezing rate using information about the atmospheric environment and information about the road environment.

Road surface image The present invention also provides a snowmelting service providing device, system, method, and program using AIOT, which determines the power supply cycle for the heating cable using information about the atmospheric environment and information about the road environment. It is for a different purpose.

According to one aspect of the present invention for achieving the above object, an apparatus for providing a snowmelting service is provided.

The device includes at least one processor; and a memory storing instructions that instruct the at least one processor to perform at least one operation.

In addition, the at least one operation includes receiving a road location from a user terminal, transmitting the road location to a weather server, and receiving the road location and wind speed and weather corresponding to the time at which the road location is transmitted from the weather server. Receiving action; Receiving an air temperature from an air temperature sensor, receiving a first air humidity from an air humidity sensor, and determining a first freezing rate using the air temperature, the air humidity, the wind speed, the weather, and the road location; When the first freezing rate is greater than a preset first reference freezing rate, the road temperature is received from a road temperature sensor, and the road width and road slope corresponding to the road location and the first freezing rate and the road temperature are used. An operation of determining a second freezing rate; and transmitting a power supply signal to the heating cable when the second freezing rate is greater than a predetermined second reference freezing rate.

In addition, the operation of determining the first freezing rate involves inputting the air temperature, the air humidity, the wind speed, the weather, and the road location as input values to a first artificial neural network that has been learned in advance, and the first artificial neural network An operation of obtaining the first freezing rate from, and an operation of determining the second freezing rate of, the road width, the road slope, the first freezing rate, and the road temperature as input values to a second artificial neural network that has been learned in advance. This may be an operation of inputting and obtaining the second freezing rate from the second artificial neural network.

Additionally, the at least one operation may include transmitting a power cutoff signal to the heating cable when the road temperature is higher than a preset reference road temperature; An operation of determining the road temperature at a time when a preset reference time has elapsed after transmitting the power cut signal as a cooling road temperature; An operation of determining a power supply cycle using the cooling road temperature, the air temperature, the air humidity, the wind speed, the weather, the road location, the road width, and the road slope; and transmitting the power supply signal or the power cutoff signal to the heating cable based on the power supply cycle.

In addition, the operation of determining the power supply cycle is performed using a third artificial neural network that has previously learned the cooling road temperature, the air temperature, the air humidity, the wind speed, the weather, the road location, the road width, and the road slope. It may be an operation of inputting an input value into and obtaining the power cut-off signal from the third artificial neural network.

Additionally, according to one aspect of the present invention, an apparatus for providing a snowmelting service is provided.

Additionally, the device includes at least one processor and a memory that stores instructions that instruct the at least one processor to perform at least one operation.

In addition, the at least one operation includes receiving a road location from a user terminal, transmitting the road location to a weather server, and transmitting the road location and a first wind speed corresponding to the time at which the road location is transmitted from the weather server. Receiving a first wake-up call; Receives a first air temperature from an air temperature sensor, receives a first air humidity from an air humidity sensor, and determines the first air temperature, the first air humidity, the first wind speed, the first weather, and the road location. An operation of determining a first freezing rate using; When the first freezing rate is greater than a preset first reference freezing rate, the first road temperature is received from a road temperature sensor, and the road width and road slope corresponding to the road location, the first freezing rate, and the first An operation of determining a second freezing rate using road temperature; The road location, measurement time, and measurement month are transmitted to a cloud server, and a plurality of road surface images corresponding to the road location, measurement time, and measurement month are received from the cloud server, and a second air temperature corresponding to each of the road surface images. , an operation of receiving second atmospheric humidity, second wind speed, and second weather; The road surface images are generated using the first air temperature, the first air humidity, the first wind speed, the first weather and the second air temperature, the second air humidity, the second wind speed and the second weather. An operation of determining a degree of similarity corresponding to each; determining a third freezing rate using the road surface image with the highest similarity, the first road temperature, and the road slope; and transmitting a power supply signal to the heating cable when at least one of the second freezing rate and the third freezing rate is greater than a predetermined second reference freezing rate.

Also, according to another aspect of the present invention, an operating method for providing a snowmelting service is provided.

In addition, the operation method includes receiving a road location from a user terminal, transmitting the road location to a weather server, and transmitting the road location and the first wind speed and the first time corresponding to the time at which the road location is transmitted from the weather server. Receiving a wake-up call; Receives a first air temperature from an air temperature sensor, receives a first air humidity from an air humidity sensor, and determines the first air temperature, the first air humidity, the first wind speed, the first weather, and the road location. An operation of determining a first freezing rate using; When the first freezing rate is greater than a preset first reference freezing rate, the first road temperature is received from a road temperature sensor, and the road width and road slope corresponding to the road location, the first freezing rate, and the first An operation of determining a second freezing rate using road temperature; and transmitting a power supply signal to the heating cable when the second freezing rate is greater than a predetermined second reference freezing rate.

In addition, according to another aspect of the present invention, a non-transitory recording medium is provided on which a program for executing the above operating method is recorded and can be read by a computer.

In addition, according to another aspect of the present invention, in an apparatus for providing a snowmelting service, a computer program recorded on a non-transitory recording medium is provided to execute the operation method.

Additionally, according to another aspect of the present invention, a system for providing snowmelting services is provided.

In addition, the system includes a device that transmits a power supply signal or a power cutoff signal to the heating cable, an air temperature sensor that provides the measured air temperature to the device; an atmospheric humidity sensor that provides measured atmospheric humidity to the device; A road temperature sensor that provides the measured road temperature to the device; a weather server that provides wind speed and weather to the device; and a user terminal that provides road locations to the device.

Additionally, the device includes at least one processor; and a memory storing instructions that instruct the at least one processor to perform at least one operation.

In addition, the at least one operation may include transmitting the road location to a weather server and receiving the road location and the wind speed and the weather corresponding to the time at which the road location was transmitted from the weather server; Determining a first freezing rate using the air temperature, air humidity, wind speed, weather, and road location; When the first freezing rate is greater than a preset first reference freezing rate, the road temperature is received from the road temperature sensor, and the road width and road slope corresponding to the road location, the first freezing rate, and the road temperature are received. An operation of determining a second freezing rate using; and transmitting a power supply signal to the heating cable when the second freezing rate is greater than a predetermined second reference freezing rate.

According to one embodiment of the present invention, the freezing rate is determined using information about the atmospheric environment and information about the road environment. Since information about both the atmospheric environment and the road environment are taken into account, the freezing rate can be measured more accurately.

According to another embodiment of the present invention, the freezing rate is determined using information about the atmospheric environment, information about the road environment, and road surface images. Since information about the air environment and road environment and road surface images are all taken into consideration, the freezing rate can be measured more accurately.

According to another embodiment of the present invention, the power supply cycle for the heating cable is determined using information about the atmospheric environment and information about the road environment. Through this, the amount of power consumed in the heating cable can be reduced.

1 is a schematic diagram of a system for providing snowmelting services according to an embodiment.
FIG. 2 is a block diagram illustrating functional modules of the service providing device according to FIG. 1.
FIG. 3 is a flowchart illustrating an embodiment of a process in which the service providing device according to FIG. 2 supplies power to a heating cable.
FIG. 4 is a flowchart illustrating another embodiment of a process in which the service providing device according to FIG. 2 supplies power to a heating cable.
FIG. 5 is a flowchart illustrating a process by which the service providing device according to FIG. 2 determines the first freezing rate.
FIG. 6 is a flowchart illustrating a process by which the service providing device according to FIG. 2 determines the second freezing rate.
FIG. 7 is a flowchart illustrating a process by which the service providing device according to FIG. 2 determines the third freezing rate.
FIG. 8 is a flowchart showing a process in which the service providing device according to FIG. 2 controls the heating cable according to the power supply cycle.
FIG. 9 is a diagram illustrating an exemplary hardware configuration of the service providing device according to FIG. 1.
Figure 10 is a diagram showing a wireless communication system that can be applied in a communication process according to an embodiment of the present invention.
FIG. 11 is a diagram showing a base station in the wireless communication system according to FIG. 10.
FIG. 12 is a diagram showing a terminal in the wireless communication system according to FIG. 10.
FIG. 13 is a diagram showing a communication interface in the wireless communication system according to FIG. 10.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component, and similarly, the second component may also be named a first component without departing from the scope of the present invention. The term and/or includes any of a plurality of related stated items or a combination of a plurality of related stated items.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

1 is a schematic diagram of a system for providing snowmelting services according to an embodiment.

Referring to FIG. 1, a system for providing a snowmelting service includes a service providing device 100, a user terminal 200, a heating cable 300, a sensor 400, and a weather server 500. In the illustrated embodiment, one user terminal 200, a heating cable 300, a sensor 400, a weather server 500, and the service providing device 100 are shown as being communicatively connected, but this is limited to this. This does not mean that the service providing device 100 may be communicatively connected to a plurality of user terminals 200, heating cables 300, sensors 400, and weather servers 500.

Additionally, the user terminal 200 is a terminal of a user receiving a snowmelting service and can provide a road location to the service providing device 100. Included.

The heating cable 300 is configured to receive power and generate heat when installed on the road. The heating cable 300 is electrically connected to a power source for supplying power. When receiving a power supply signal from the service providing device 100, the heating cable 300 is controlled to receive power from the power source, and when receiving a power cut-off signal from the service providing device 100, the heating cable 300 is controlled to receive power from the power source. It is controlled to cut off the power supplied from.

The sensor 400 includes a road temperature measurement sensor installed on the road and configured to measure the temperature of the road, an air temperature measurement sensor configured to measure the temperature of the air at the location where the road is installed, and the humidity of the air at the location where the road is installed. It includes an atmospheric humidity measurement sensor configured to measure. The road temperature measurement sensor, the air temperature measurement sensor, and the air humidity measurement sensor are communicatively connected to the service provision device 100 and transmit the road temperature, air temperature, and air humidity measured by the service provision device 100.

The weather server 500 is a server that collects weather information, and the database of the weather server 500 stores wind speed and weather by time and region. In one embodiment, clear weather, clouds, rain, snow, fog, etc. may be set as weather conditions. The weather server 500, which has received the road location from the service providing device 100, may provide the user providing device 100 with wind speed and weather corresponding to the area to which the road location belongs.

Examples of the user terminal 200, weather server 500, and cloud server 600 include a desktop computer, laptop computer, laptop, smart phone, It may be a tablet PC, a mobile phone, etc.

The service providing device 100 may be a server for providing a snowmelting service to the counselor terminal 200.

FIG. 2 is a block diagram illustrating functional modules of the service providing device 100 according to FIG. 1 .

Referring to FIG. 2, the service providing device 100 includes a freezing rate determination unit 101 and a heating cable control unit 102.

FIG. 3 is a flowchart illustrating an embodiment of a process in which the service providing device 100 according to FIG. 2 supplies power to a heating cable.

Referring to FIG. 3, the freezing rate determination unit 101 receives the road location from the user terminal 200 (S105) and provides the received road location to the weather server 500 (S110). In one embodiment, the freezing rate determination unit 101 may provide the user terminal 200 with a user interface (User Interface) for searching and inputting a road location.

Additionally, the freezing rate determination unit 101 receives the first wind speed and the first weather for the area including the road location from the weather server 500 (S120). The freezing rate determination unit 101 receives the first wind speed and first weather for each hour for the area including the road location from the weather server 500. The freezing rate determination unit 101 may receive the first wind speed and the first weather for the area including the road location for each preset time from the weather server 500.

Additionally, the freezing rate determination unit 101 determines the first freezing rate (S130). In one embodiment, the freezing rate determination unit 101 may determine the first freezing rate for each preset time.

FIG. 5 is a flowchart illustrating a process by which the service providing device 100 according to FIG. 2 determines the first freezing rate.

The freezing rate determination unit 101 receives the first air temperature and first air humidity from the air temperature measurement sensor and the air humidity measurement sensor (S131). In one embodiment, the freezing rate determination unit 101 may receive the first atmospheric temperature and the first atmospheric humidity for each preset time.

Additionally, the freezing rate determination unit 101 determines the first freezing rate using the first air temperature, first air humidity, first wind speed, first weather, and road location (S132).

In one embodiment, the freezing rate determination unit 101 inputs the first air temperature, first air humidity, first wind speed, first weather, and road location as input values to the first artificial neural network learned in advance, and 1 The first freezing rate can be obtained from an artificial neural network.

In one embodiment, the first artificial neural network uses machine learning using a learning data set including learning data generated by labeling the learning air temperature, learning air humidity, learning wind speed, learning weather, and learning road location with the freezing rate. can be created. In one embodiment, Random Forest, Xgboost, multiple regression analysis, etc. may be used for machine learning of the first artificial neural network.

The freezing rate determination unit 101 inputs the first atmospheric temperature, first atmospheric humidity, first wind speed, first weather, and road location as input values to the first artificial neural network, and hard freezing rate obtained from the first artificial neural network. can be determined as the first freezing rate.

Referring again to FIG. 3, the freezing rate determination unit 101 compares the first freezing rate with a preset first reference freezing rate (K1) (S140).

When the first freezing rate is smaller than the preset first reference freezing rate, the service providing device 100 does not control the heating cable 300 to operate.

Example: When a matching item is searched for, the freezing rate determination unit 101 determines a second freezing rate (S160). In one embodiment, the freezing rate determination unit 101 may determine the second freezing rate for each preset time.

FIG. 6 is a flowchart illustrating a process by which the service providing device 100 according to FIG. 2 determines the second freezing rate.

The freezing rate determination unit 101 receives the first road temperature from the road temperature measurement sensor (S161). In one embodiment, the freezing rate determination unit 101 may receive the first road temperature at preset times.

Additionally, the freezing rate determination unit 101 determines the road width and road slope using the road location (S162).

In the database of the service provision device 100, the road location, road width, and road slope are matched and stored in advance. The freezing rate determination unit 101 selects the road width and road slope matching the road location from the database.

In one embodiment, when the road width and road slope matching the road location are not searched, the freezing rate determination unit 101 may receive the road width and road slope from the user terminal 200. The freezing rate determination unit 101 may provide a user interface through which road width and road slope can be input to the user terminal 200.

Additionally, the freezing rate determination unit 101 determines the second freezing rate using the first freezing rate, first road temperature, road width, and road slope (S163).

The freezing rate determination unit 101 inputs the first freezing rate, first road temperature, road width, and road slope as input values to a pre-trained second artificial neural network, and obtains the second freezing rate from the second artificial neural network. can do.

In one embodiment, the second artificial neural network will be generated through machine learning using a learning dataset including learning data generated by labeling the freezing rate for learning freezing rate, learning road temperature, learning road width, and learning road slope. You can. In one embodiment, Random Forest, Xgboost, multiple regression analysis, etc. may be used for machine learning of the second artificial neural network.

The freezing rate determination unit 101 inputs the first freezing rate, first road temperature, road width, and road slope as input values to the second artificial neural network, and sets the freezing rate obtained from the second artificial neural network to the second freezing rate. can be decided.

Referring again to FIG. 3, the freezing rate determination unit 101 compares the second freezing rate with a preset second reference freezing rate (K2) (S165).

When the second freezing rate is smaller than the preset second reference freezing rate, the service providing device 100 does not control the heating cable 300 to operate.

When the second freezing rate is greater than the preset second reference freezing rate, the heating cable control unit 102 transmits a power supply signal to the heating cable 300 (S190).

Through this, the heating cable 300 that receives the power supply signal can be supplied with power and operated.

FIG. 4 is a flowchart illustrating another embodiment of a process in which the service providing device 100 according to FIG. 2 supplies power to the heating cable 300.

Referring to FIG. 4, the freezing rate determination unit 101 receives the road location from the user terminal 200 (S105) and provides the received road location to the weather server 500 (S110). In one embodiment, the freezing rate determination unit 101 may provide the user terminal 200 with a user interface (User Interface) for searching and inputting a road location.

Additionally, the freezing rate determination unit 101 receives the first wind speed and the first weather for the area including the road location from the weather server 500 (S120). The freezing rate determination unit 101 receives the first wind speed and first weather for each hour for the area including the road location from the weather server 500. The freezing rate determination unit 101 may receive the first wind speed and the first weather for the area including the road location for each preset time from the weather server 500.

Additionally, the freezing rate determination unit 101 determines the first freezing rate (S130). In one embodiment, the freezing rate determination unit 101 may determine the first freezing rate for each preset time.

FIG. 5 is a flowchart illustrating a process by which the service providing device 100 according to FIG. 2 determines the first freezing rate.

The freezing rate determination unit 101 receives the first air temperature and first air humidity from the air temperature measurement sensor and the air humidity measurement sensor (S131). In one embodiment, the freezing rate determination unit 101 may receive the first atmospheric temperature and the first atmospheric humidity for each preset time.

Additionally, the freezing rate determination unit 101 determines the first freezing rate using the first air temperature, first air humidity, first wind speed, first weather, and road location (S132).

In one embodiment, the freezing rate determination unit 101 inputs the first air temperature, first air humidity, first wind speed, first weather, and road location as input values to the first artificial neural network learned in advance, and 1 The first freezing rate can be obtained from an artificial neural network.

In one embodiment, the first artificial neural network uses machine learning using a learning data set including learning data generated by labeling the learning air temperature, learning air humidity, learning wind speed, learning weather, and learning road location with the freezing rate. can be created. In one embodiment, Random Forest, Xgboost, multiple regression analysis, etc. may be used for machine learning of the first artificial neural network.

The freezing rate determination unit 101 inputs the first atmospheric temperature, first atmospheric humidity, first wind speed, first weather, and road location as input values to the first artificial neural network, and hard freezing rate obtained from the first artificial neural network. can be determined as the first freezing rate.

Through this, it is possible to obtain freezing rates based on atmospheric environment and location.

Referring again to FIG. 4, the freezing rate determination unit 101 compares the first freezing rate with a preset first reference freezing rate (K1) (S140).

When the first freezing rate is smaller than the preset first reference freezing rate, the service providing device 100 does not control the heating cable 300 to operate.

The freezing rate determination unit 101 determines the second freezing rate (S160). In one embodiment, the freezing rate determination unit 101 may determine the second freezing rate for each preset time.

FIG. 6 is a flowchart illustrating a process by which the service providing device 100 according to FIG. 2 determines the second freezing rate.

The freezing rate determination unit 101 receives the first road temperature from the road temperature measurement sensor (S161). In one embodiment, the freezing rate determination unit 101 may receive the first road temperature at preset times.

Additionally, the freezing rate determination unit 101 determines the road width and road slope using the road location (S162).

In the database of the service provision device 100, the road location, road width, and road slope are matched and stored in advance. The freezing rate determination unit 101 selects the road width and road slope matching the road location from the database.

In one embodiment, when the road width and road slope matching the road location are not searched, the freezing rate determination unit 101 may receive the road width and road slope from the user terminal 200. The freezing rate determination unit 101 may provide a user interface through which road width and road slope can be input to the user terminal 200.

Additionally, the freezing rate determination unit 101 determines the second freezing rate using the first freezing rate, first road temperature, road width, and road slope (S163).

The freezing rate determination unit 101 inputs the first freezing rate, first road temperature, road width, and road slope as input values to a pre-trained second artificial neural network, and obtains the second freezing rate from the second artificial neural network. can do.

In one embodiment, the second artificial neural network will be generated through machine learning using a learning dataset including learning data generated by labeling the freezing rate for learning freezing rate, learning road temperature, learning road width, and learning road slope. You can. In one embodiment, Random Forest, Xgboost, multiple regression analysis, etc. may be used for machine learning of the second artificial neural network.

The freezing rate determination unit 101 inputs the first freezing rate, first road temperature, road width, and road slope as input values to the second artificial neural network, and sets the freezing rate obtained from the second artificial neural network to the second freezing rate. can be decided.

The freezing rate is calculated using the expected freezing rate calculated using the atmospheric environment and location and information on the road. In other words, the freezing rate can be calculated by considering both the atmospheric environment and the road environment.

Referring again to FIG. 4, the freezing rate determination unit 101 transmits the road location, measurement time, and measurement month to the cloud server 600 (S170). In one embodiment, the measurement time means the time including the time when the road temperature measurement sensor, the air temperature measurement sensor, and the air humidity measurement sensor measured the measured values, and the measurement month refers to the time including the road temperature measurement sensor, the air temperature measurement sensor, and the air humidity measurement sensor. It refers to the month that includes the time when the atmospheric humidity measurement sensor measured the measured value. For example, if the measurement value was measured at 06:30 on April 3, the measurement month is April.

Additionally, the freezing rate determination unit 101 receives a plurality of road surface images matching the road location, measurement time, and measurement month from the cloud server 600. Additionally, the freezing rate determination unit 101 receives the second air temperature, second air humidity, second wind speed, and second weather conditions that match each of the road surface images from the cloud server 600 (S175).

In one embodiment, the freezing rate determination unit 101 transmits the road location, measurement time, and measurement month to the cloud server 600 for each preset time, and receives the road location, measurement time, and measurement month from the cloud server 600. Road surface images corresponding to can be received.

In the database of the cloud server 600, road surface images are stored in advance by matching them with road location, measurement time, and measurement month. Additionally, the road surface image is stored in the database of the cloud server 600 by matching it with air temperature, air humidity, wind speed, and weather in advance.

Additionally, the freezing rate determination unit 101 determines the third freezing rate (S180). In one embodiment, the freezing rate determination unit 101 may determine the third freezing rate for each preset time.

FIG. 7 is a flowchart illustrating a process by which the service providing device 100 according to FIG. 2 determines the third freezing rate.

Referring to FIG. 7, the freezing rate determination unit 101 determines the first vector using the first air temperature, first air humidity, first wind speed, and first weather (S181).

In one embodiment, the first vector may be a multi-dimensional vector having each of the first air temperature, first air humidity, first wind speed, and first weather as dimension values.

Additionally, the freezing rate determination unit 101 determines a second vector corresponding to each of the road surface images using the second air temperature, second air humidity, second wind speed, and second weather (S182).

In one embodiment, the second vector may be a multi-dimensional vector having each of the second air temperature, second air humidity, second wind speed, and second weather as dimension values.

Additionally, the freezing rate determination unit 101 determines the degree of similarity corresponding to each of the road surface images using the first vector and the second vector (S183).

Similarity can be determined using Equation 1 below.

In Equation 1 above, S means similarity, A means the first vector, and B means the second vector. As the angle between the first vector and the second vector approaches 0, the similarity increases, and as the angle between the first vector and the second vector moves away from 0, the similarity decreases.

Additionally, the freezing rate determination unit 101 selects the road surface image with the highest similarity (S184).

Additionally, the freezing rate determination unit 101 determines the third freezing rate using the selected road surface image, first road temperature, and road slope (S185).

In one embodiment, the freezing rate determination unit 101 may input the selected road surface image, first road temperature, and road slope as input values to the third artificial neural network, and obtain the third freezing rate from the third artificial neural network. there is.

In one embodiment, the third artificial neural network may be generated through machine learning using a learning data set that includes learning data generated by labeling a learning road surface image, a learning road temperature, and a learning road slope with a freezing rate.

In one embodiment, Convolutional Neural Network and Random Forest may be used for machine learning of a third artificial neural network.

The third artificial neural network outputs a plurality of feature vectors from the road surface image through a convolutional neural network (CNN).

In one embodiment, the convolutional neural network (CNN) includes a plurality of convolution layers, a plurality of Max pooling layers, and a plurality of fully connected layers. .

The third artificial neural network can concatenate a plurality of feature vectors and a plurality of road vectors output through a convolutional neural network (CNN). The freezing rate determination unit 101 may generate a road vector using the first road temperature and the road slope.

The third artificial neural network determines the freezing rate using a plurality of feature vectors and a plurality of road vectors connected through a random forest (Random Forest Regressor). Random Forest Regressor is a type of ensemble learning method used in regression analysis that outputs an average prediction value from multiple decision trees constructed during the learning process.

Referring again to FIG. 4, the freezing rate determination unit 101 compares the second freezing rate and the third freezing rate with a preset second reference freezing rate (K2) (S185).

When both the second freezing rate and the third freezing rate are smaller than the preset second reference freezing rate, the service providing device 100 does not control the heating cable 300 to operate.

When at least one of the second freezing rate and the third freezing rate is greater than the second reference freezing rate, the heating cable control unit 102 transmits a power supply signal to the heating cable 300 (S190).

Through this, the heating cable 300 that receives the power supply signal can be operated to receive power and generate heat.

Referring again to FIG. 2, the service providing device 100 includes a power supply cycle determination unit 103.

FIG. 8 is a flowchart showing a process in which the service providing device 100 according to FIG. 2 controls the heating cable 300 according to the power supply cycle.

Referring to FIG. 8, the power supply cycle determination unit 103 transmits a power cutoff signal to the heating cable 300 when the first road temperature is higher than a preset reference road temperature (S210).

Through this, the power supplied to the heating cable 300 is cut off and the temperature of the road gradually decreases.

Additionally, the power supply cycle determination unit 103 determines the first road temperature at the time when a preset reference time has elapsed after power off as the second road temperature (S220).

In addition, the power supply cycle determination unit 103 determines the power supply cycle using the second road temperature, first air temperature, first air humidity, first wind speed, first weather, road location, road width, and road slope. Decide (S230).

In one embodiment, the power supply cycle determination unit 103 learns the second road temperature, first air temperature, first air humidity, first wind speed, first weather, road location, road width, and road slope in advance. The input value can be input to the fourth artificial neural network, and the power supply cycle can be obtained from the fourth artificial neural network. In one embodiment, the power-on cycle includes a first time applying power and a second time turning off power.

In one embodiment, the fourth artificial neural network is a learning road temperature for learning, an air temperature for learning, an air humidity for learning, a wind speed for learning, a weather for learning, a road location for learning, a road width for learning, and a power supply cycle for learning, and is generated by labeling the power supply cycle to the road width for learning. It can be created through machine learning using a learning dataset containing data. In one embodiment, Random Forest, Xgboost, multiple regression analysis, etc. can be used for machine learning of the fourth artificial neural network.

Additionally, the power supply cycle determination unit 103 transmits a power supply signal or a power cut signal to the heating cable 300 based on the power supply cycle (S240). Through this, power can be supplied or cut off to the heating cable 300.

In one embodiment, the power supply cycle determination unit 103 sends a power cutoff signal to the heating cable 300 after the first time for supplying power has elapsed from the time of transmitting the power supply signal to the heating cable 300. Can be transmitted. The power supply cycle determination unit 103 may transmit the power supply signal to the heating cable 300 after a second time period for turning off the power has elapsed from the time of transmitting the power cut signal to the heating cable 300.

Referring again to FIG. 2, the service providing device 100 further includes a defect detection unit 104. Even though the power supply signal is transmitted, if the detected road temperature is lower than the preset reference temperature, the defect detection unit 104 may determine that a defect has occurred in the heating cable 300. Even though the power cut signal is transmitted, if the detected road temperature is higher than the preset reference temperature, the defect detection unit 104 may determine that a defect has occurred in the power supply or control circuit.

The service providing device 100 may be equipped with a sensor that can detect whether power is cut off. When the coupling detection unit 104 receives a power-off signal from a sensor, it can provide a power-off signal to the user terminal 200.

The service providing device 100 may be equipped with a sensor that can detect whether the terminal, relay, or magnetic contactor of the heating cable 300 is malfunctioning. When an operational abnormality signal is received from a sensor, the combination detection unit 104 may provide an operational abnormality signal to the user terminal 200.

FIG. 9 is a diagram illustrating the hardware configuration of the service providing device 100 according to FIG. 1.

Referring to FIG. 9, the service providing device 100 stores at least one processor 110 and instructions instructing the at least one processor 110 to perform at least one operation. Includes memory.

The at least one operation includes the components 101 to 104 of the service providing device 100 described above or other functions or operating methods.

Here, the at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. You can. Each of the memory 120 and the storage device 160 may be comprised of at least one of a volatile storage medium and a non-volatile storage medium.

For example, the memory 120 may be one of read only memory (ROM) and random access memory (RAM), and the storage device 160 may be flash memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

Additionally, the device 100 includes a transceiver 130 that performs communication through a wireless network. Additionally, the device 100 further includes an input interface device 140, an output interface device 150, a storage device 160, etc. Each component included in the device 100 is connected by a bus 170 and can communicate with each other.

Examples of the device 100 include a desktop computer, a laptop computer, a laptop, a smart phone, a tablet PC, and a mobile phone capable of communicating. It may be, etc.

Figure 10 is a diagram showing a wireless communication system that can be applied in a communication process according to an embodiment of the present invention. FIG. 11 is a diagram showing a base station in the wireless communication system according to FIG. 10. FIG. 12 is a diagram showing a terminal in the wireless communication system according to FIG. 10. FIG. 13 is a diagram showing a communication interface in the wireless communication system according to FIG. 10.

Below, an example of a wireless communication network system that supports communication between the service providing device 100, the terminal 200, and the base station is described in detail, and the service providing device 100 and the terminal 200 are described in detail. For convenience, it may be referred to interchangeably as node or terminal. In the following description, the first node (device) may be an anchor/donor node or a centralized unit (CU) of an anchor/donor node, and the second node (device) may be a distributed unit (DU) of an anchor/donor node or relay node. It can be.

In a wireless communication system, a base station (BS), terminal, server, etc. may be included as part of the nodes that use a wireless channel.

A base station is a network infrastructure that provides wireless access to terminals. A base station has a coverage area defined as a geographic area depending on the distance over which signals can be transmitted.

A base station, like a "base station", can be referred to as an "access point (AP)", "enodeb (eNB)", "5th generation (5G) node", "wireless point", " It may be referred to as a “transmission/reception point (TRP)”.

Base stations and terminals can transmit and receive wireless signals in the millimeter wave (mmWave) band (e.g., 28GHz, 30GHz, 38GHz, 60GHz). At this time, the base station and the terminal can perform beamforming to improve channel gain. Beamforming may include transmit beamforming and receive beamforming. In other words, the base station and the terminal can provide directivity to the transmitted and received signals. To this end, the base station and terminal can select a serving beam through a beam search procedure or beam management procedure. Thereafter, communication may be performed using a resource that is in a quasi co-located relationship with the resource carrying the serving beam.

A first antenna port and a second antenna port are considered to be quasi-colocated if the large-scale properties of the channel on which the symbols of the first antenna port are carried can be inferred from the channel on which the symbols of the second antenna port are carried. Large-scale properties may include one or more of delay spread, Doppler spread, Doppler shift, average gain, average delay, and spatial Rx parameters.

Below, a base station in the above-described wireless communication system is exemplified. As used hereinafter, the terms "-module", "-unit", or "-er" may mean a unit that processes at least one function or operation, and may mean hardware, software, or hardware and software. It can be implemented as a combination of.

The base station may include a wireless communication interface, a backhaul communication interface, a storage unit, and a controller.

The wireless communication interface performs the function of transmitting and receiving signals through a wireless channel. For example, a wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to the system's physical layer standard. For example, in data transmission, a wireless communication interface encodes and modulates a transmitted bit stream to generate complex symbols. Additionally, when receiving data, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

The wireless communication interface performs the function of transmitting and receiving signals through a wireless channel. For example, a wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to the system's physical layer standard. For example, in data transmission, a wireless communication interface encodes and modulates a transmitted bit stream to generate complex symbols. Additionally, upon receiving data, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

Additionally, the wireless communication interface up-converts the base band signal into an RF (Radio Frequency) band signal, transmits the converted signal through an antenna, and then down-converts the RF band signal received through the antenna into a base band signal. For this purpose, the wireless communication interface includes a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a digital-to-analog convertor (DAC), It may include an analog-to-digital convertor (ADC), etc. Additionally, the wireless communication interface may include a plurality of transmission and reception paths. Additionally, the wireless communication interface may include at least one antenna array including a plurality of antenna elements.

In terms of hardware, a wireless communication interface may include a digital unit and an analog unit, and the analog unit may include a plurality of subunits depending on operating power, operating frequency, etc. The digital unit may be implemented with at least one processor (eg, digital signal processor (DSP)).

The wireless communication interface transmits and receives signals as described above. Accordingly, a wireless communication interface may be referred to as a “transmitter,” “receiver,” or “transceiver.” Additionally, in the following description, transmission and reception performed through a wireless channel may be used to include processing performed in a wireless communication interface as described above.

The backhaul communication interface provides an interface to communicate with other nodes within the network. That is, the backhaul communication interface converts the bit stream transmitted to other nodes, for example, other access nodes, other base stations, upper nodes or the core network from the base station into physical signals, and converts the physical signals received from other nodes into bits. Convert to stream.

The storage unit stores data such as basic programs, applications, and setting information for operation of the base station. The storage unit may include volatile memory, non-volatile memory, or a combination of volatile memory and non-volatile memory.

The controller controls the overall operation of the base station. For example, the controller transmits and receives signals through a wireless communication interface or a backhaul communication interface. Additionally, the controller records data in the storage and reads the recorded data. The controller can perform the protocol stack functions required by communication standards. According to another implementation, the protocol stack may be included in the wireless communication interface. For this purpose, the controller may include at least one processor.

According to one embodiment, the controller may control the base station to perform operations according to the embodiment of the present invention.

According to various embodiments, a donor node of a wireless communication system includes at least one processor, a transceiver operably coupled to the at least one processor, and a plurality of radio bearers for a terminal accessing the relay node. configured to transmit to a relay node a first message containing first information related to the donor node regarding; receive a second message from the relay node containing second information related to the relay node regarding a plurality of radio bearers for the terminal; Data about the terminal can be transmitted to the relay node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may integrate a plurality of radio bearers. The at least one processor is further configured to determine a radio bearer for a terminal accessing the relay node and multiple radio bearers integrated by the radio bearer; Alternatively, a radio bearer for a terminal accessing the relay node can be determined.

According to various embodiments, the first message may include one or more of the following: identification of the terminal accessing the relay node; Display information indicating the type of terminal connecting to the relay node; Information about the radio bearer of the terminal connecting to the relay node; Information about the radio bearer carried by the terminal accessing the relay node; Information about the tunnel established for the radio bearer between the donor node and the relay node; Information on integrated multi-radio bearers; radio bearer mapping information; Information about the address on the donor node side; Information about the address on the relay node side; Display information corresponding to the radio bearer of the terminal connecting to the relay node; Indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; A list of address information that cannot be used by the relay node transmitting data of the radio bearer of the terminal connecting to the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of the following: identification of the terminal accessing the relay node; Information about radio bearers approved by the relay node; Information about radio bearers not acknowledged by the relay node; Information about radio bearers partially accepted by the relay node; radio bearer mapping information; Configuration information of a terminal connecting to the relay node created by the relay node; Information about the address on the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information about integrated multiple radio bearers.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distributed unit of the donor node.

According to various embodiments, a relay node in a wireless communication system includes at least one processor, includes a transceiver operably coupled to the at least one processor, and transmits, from a donor node, a plurality of terminals accessing the relay node. configured to receive a first message containing first information related to a donor node regarding a radio bearer of; transmitting a second message containing second information related to a relay node regarding a plurality of radio bearers for the terminal to the donor node; Data about the terminal can be received from the donor node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may integrate a plurality of radio bearers. The at least one processor is further configured to determine a radio bearer for a terminal accessing the relay node and multiple radio bearers integrated by the radio bearer; Alternatively, multiple radio bearers integrated by radio bearer may be determined.

According to various embodiments, the first message may include one or more of the following: identification of the terminal accessing the relay node; Display information indicating the type of terminal connecting to the relay node; Information about the radio bearer of the terminal connecting to the relay node; Information about the radio bearer carried by the terminal accessing the relay node; Information about the tunnel established for the radio bearer between the donor node and the relay node; Information on integrated multi-radio bearers; radio bearer mapping information; Information about the address on the donor node side; Information about the address on the relay node side; Indication information corresponding to the radio bearer of the terminal connecting to the relay node; Indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; A list of address information that cannot be used by the relay node transmitting data of the radio bearer of the terminal connecting to the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of the following: identification of the terminal accessing the relay node; Information about radio bearers approved by the relay node; Information about radio bearers not acknowledged by the relay node; Information about radio bearers partially accepted by the relay node; radio bearer mapping information; Configuration information of a terminal connecting to the relay node created by the relay node; Information about the address on the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information about integrated multiple radio bearers.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distributed unit of the donor node.

Below, the components of the terminal in the above-described wireless communication system are shown. The components of the terminal described below are components of a general-purpose terminal supported by a wireless communication system and may be merged or integrated with the components of the terminal according to the above-mentioned contents, and may be compared to the previous drawings to the extent of some overlap or conflict. The content explained with reference may be interpreted as having priority. The terms “-module”, “-unit”, or “-er” used below may refer to a unit that processes at least one function.

The terminal includes a communication interface, a storage unit, and a controller.

The communication interface performs the function of transmitting and receiving signals through a wireless channel. For example, the communication interface performs conversion between baseband signals and bit streams according to the system's physical layer standards. For example, in data transmission, a communication interface encodes and modulates the transmitted bit stream to generate complex symbols. Additionally, when receiving data, the communication interface demodulates and decodes the base band signal to reconstruct the received bit stream. Additionally, the communication interface up-converts the base band signal into an RF band signal, transmits the converted signal through an antenna, and then down-converts the RF band signal received through the antenna into a base band signal. For example, the communication interface includes a transmission filter, reception filter, amplifier, mixer, oscillator, and digital-to-analog convertor (DAC). , analog-to-digital convertor (ADC), etc.

Additionally, the communication interface may include multiple transmission and reception paths. Additionally, the communication interface may include at least one antenna array including a plurality of antenna elements. On the hardware side, the wireless communication interface may include digital circuits and analog circuits (eg, radio frequency integrated circuit, RFIC). A digital circuit may be implemented with at least one processor (e.g., DSP). The communication interface may include multiple RF chains. The communication interface may perform beamforming.

The communication interface transmits and receives signals as described above. Accordingly, a communication interface may be referred to as a “transmitter,” “receiver,” or “transceiver.” Additionally, in the following description, transmission and reception performed through a wireless channel may be used to include processing performed in the communication interface as described above.

The storage unit stores data such as basic programs, applications, and setting information for the operation of the terminal. The storage unit may include volatile memory, non-volatile memory, or a combination of volatile memory and non-volatile memory. Additionally, the storage unit provides stored data upon request from the controller.

The controller controls the overall operation of the terminal. For example, a controller sends and receives signals through a communication interface. Additionally, the controller records data in the storage and reads the recorded data. The controller can perform the protocol stack functions required by communication standards. According to another implementation, a protocol stack may be included in the communication interface. For this purpose, the controller may comprise at least one processor or microprocessor or may reproduce part of a processor. Additionally, a part of the communication interface or controller may be referred to as a communication processor (CP).

According to an embodiment of the present invention, a controller can control a terminal to perform an operation according to an embodiment of the present invention.

Below, a communication interface in a wireless communication system is illustrated.

The communication interface includes encoding and modulation circuitry, digital beamforming circuitry, a plurality of transmission paths, and analog beamforming circuitry.

Encoding and modulation circuitry performs channel encoding. At least one of a low-density parity check (LDPC) code, a convolutional code, and a polar code may be used for channel encoding. The encoding and modulation circuit generates modulation symbols by performing constellation mapping.

A digital beamforming circuit performs beam forming on digital signals (eg, modulation symbols). For this purpose, the digital beamforming circuit multiplexes the modulation symbols by beamforming weight values. Beamforming weights can be used to change the size and wording of the signal and may be referred to as a “precoding matrix” or “precoder.” The digital beamforming circuit outputs digital beamformed modulation symbols through a plurality of transmission paths. At this time, depending on the multiple input multiple output (MIMO) transmission method, modulation symbols may be multiplexed or the same modulation symbol may be provided to multiple transmission paths.

A plurality of transmission paths convert digital beamformed digital signals into analog signals. To this end, each of the plurality of transmission paths may include an inverse fast Fourier transform (IFFT) calculation unit, a cyclic prefix (CP) insertion unit, a DAC, and an upconversion unit. The CP insertion unit is for the orthogonal frequency division multiplexing (OFDM) method and can be omitted when applying another physical layer method (e.g., a filter bank multi-carrier (FBMC)). That is, multiple transmission paths provide independent signal processing processes for multiple streams generated through digital beamforming. However, depending on the implementation, some elements of multiple transmission paths may be commonly used.

The analog beamforming circuit performs beamforming on analog signals. For this purpose, the digital beamforming circuit multiplexes the analog signal by beamforming weighting values. Beamformed weights are used to change the size and wording of the signal. More specifically, depending on the connection structure between a plurality of transmission paths and antennas, the analog beamforming circuit can be configured in various ways. For example, each of the plurality of transmission paths may be connected to one antenna array. In another example, multiple transmission paths may be coupled to one antenna array. In another example, multiple transmission paths may be adaptively connected to one antenna array or may be connected to two or more antenna arrays.

Methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on a computer-readable medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the computer software art.

Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions may include machine language code such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The above-described hardware device may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Additionally, the above-described method or device may be implemented by combining all or part of its components or functions, or may be implemented separately.

Although the present invention has been described above with reference to preferred embodiments, those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can do it.

Claims (10)

As a device for providing a snowmelting service,
The device is,
at least one processor; and
Includes a memory that stores instructions that instruct the at least one processor to perform at least one operation,
The at least one operation is,
Receiving a road location from a user terminal, transmitting the road location to a weather server, and receiving the road location and wind speed and weather corresponding to the time at which the road location was transmitted from the weather server;
Receiving an air temperature from an air temperature sensor, receiving a first air humidity from an air humidity sensor, and determining a first freezing rate using the air temperature, the air humidity, the wind speed, the weather, and the road location;
When the first freezing rate is greater than a preset first reference freezing rate, the road temperature is received from a road temperature sensor, and the road width and road slope corresponding to the road location and the first freezing rate and the road temperature are used. An operation of determining a second freezing rate; and
When the second freezing rate is greater than a predetermined second reference freezing rate, comprising transmitting a power supply signal to the heating cable,
Device. According to paragraph 1,
The operation of determining the first freezing rate is,
An operation of inputting the air temperature, the air humidity, the wind speed, the weather, and the road location as input values to a first artificial neural network learned in advance, and obtaining the first freezing rate from the first artificial neural network,
The operation of determining the second freezing rate is,
An operation of inputting the road width, the road slope, the first freezing rate, and the road temperature as input values to a pre-trained second artificial neural network, and obtaining the second freezing rate from the second artificial neural network,
Device. According to paragraph 1,
The at least one operation is,
Transmitting a power cutoff signal to the heating cable when the road temperature is higher than a preset reference road temperature;
An operation of determining the road temperature at a time when a preset reference time has elapsed after transmitting the power cut signal as a cooling road temperature;
An operation of determining a power supply cycle using the cooling road temperature, the air temperature, the air humidity, the wind speed, the weather, the road location, the road width, and the road slope; and
Further comprising transmitting the power supply signal or the power cut signal to the heating cable based on the power supply cycle,
Device. According to paragraph 3,
The operation of determining the power supply cycle is,
The cooling road temperature, the air temperature, the air humidity, the wind speed, the weather, the road location, the road width, and the road slope are input as input values to a third artificial neural network learned in advance, and the third artificial neural network The operation of obtaining the power cut-off signal from,
Device. As a device for providing a snowmelting service,
The device is,
at least one processor; and
Includes a memory that stores instructions that instruct the at least one processor to perform at least one operation,
The at least one operation is,
Receiving a road location from a user terminal, transmitting the road location to a weather server, and receiving the road location and a first wind speed and a first weather corresponding to the time at which the road location was transmitted from the weather server;
Receives a first air temperature from an air temperature sensor, receives a first air humidity from an air humidity sensor, and determines the first air temperature, the first air humidity, the first wind speed, the first weather, and the road location. An operation of determining a first freezing rate using;
When the first freezing rate is greater than a preset first reference freezing rate, a first road temperature is received from a road temperature sensor, and the road width, road slope, and 1 An operation of determining a second freezing rate using road temperature;
The road location, measurement time, and measurement month are transmitted to a cloud server, and a plurality of road surface images corresponding to the road location, measurement time, and measurement month are received from the cloud server, and a second air temperature corresponding to each of the road surface images. , an operation of receiving second atmospheric humidity, second wind speed, and second weather;
The road surface images are generated using the first air temperature, the first air humidity, the first wind speed, the first weather and the second air temperature, the second air humidity, the second wind speed and the second weather. An operation of determining a degree of similarity corresponding to each;
determining a third freezing rate using the road surface image with the highest similarity, the first road temperature, and the road slope; and
When at least one of the second freezing rate and the third freezing rate is greater than a predetermined second reference freezing rate, comprising transmitting a power supply signal to the heating cable,
Device. According to clause 5,
The operation of determining the degree of similarity corresponding to each of the road surface images is,
An operation of determining a first vector using the first air temperature, the first air humidity, the first wind speed, and the first weather;
determining a second vector corresponding to each of the road surface images using the second air temperature, the second air humidity, the second wind speed, and the second weather; and
Comprising an operation of determining the similarity corresponding to each of the road surface images using a cosine similarity between the first vector and the second vector,
Device. As an operating method for providing a snowmelting service,
Receiving a road location from a user terminal, transmitting the road location to a weather server, and receiving the road location and a first wind speed and a first weather corresponding to the time at which the road location was transmitted from the weather server;
Receives a first air temperature from an air temperature sensor, receives a first air humidity from an air humidity sensor, and determines the first air temperature, the first air humidity, the first wind speed, the first weather, and the road location. An operation of determining a first freezing rate using;
When the first freezing rate is greater than a preset first reference freezing rate, the first road temperature is received from a road temperature sensor, and the road width and road slope corresponding to the road location, the first freezing rate, and the first An operation of determining a second freezing rate using road temperature; and
When the second freezing rate is greater than a predetermined second reference freezing rate, comprising transmitting a power supply signal to the heating cable,
How it works. A non-transitory recording medium on which a program for executing the operating method according to claim 7 is recorded and which can be read by a computer. A computer program recorded on a non-transitory recording medium to execute the operation method according to claim 8 in a device for providing a snowmelting service. As a system for providing snowmelting services,
A device that transmits a power supply signal or a power cut signal to the heating cable,
an air temperature sensor providing the measured air temperature to the device;
an atmospheric humidity sensor that provides measured atmospheric humidity to the device;
A road temperature sensor that provides the measured road temperature to the device;
a weather server that provides wind speed and weather to the device; and
Includes a user terminal that provides a road location to the device,
The device is,
at least one processor; and
Includes a memory that stores instructions that instruct the at least one processor to perform at least one operation,
The at least one operation is,
Transmitting the road location to a weather server, and receiving the road location and the wind speed and the weather corresponding to the time at which the road location was transmitted from the weather server;
Determining a first freezing rate using the air temperature, air humidity, wind speed, weather, and road location;
When the first freezing rate is greater than a preset first reference freezing rate, the road temperature is received from the road temperature sensor, and the road width and road slope corresponding to the road location, the first freezing rate, and the road temperature are received. An operation of determining a second freezing rate using; and
A system comprising transmitting a power supply signal to a heating cable when the second freezing rate is greater than a predetermined second reference freezing rate.