KR102359365B1 - Road Climate Conditions Visualization System - Google Patents

Abstract

The present invention relates to a road climate conditions visualization system (RCCVS). To this end, the RCCSV according to the present invention for preventing ice formation by determining the state of a road surface in an ice formation risk zone comprises: a temperature/humidity measuring device measuring temperature/humidity information on an ice formation risk zone in real time; an image information acquiring device acquiring image information of the ice formation risk zone in real time if the temperature/humidity information measured by the temperature/humidity measuring device satisfies a predetermined condition; a road surface state determining device determining the state of the road surface by using the real time image information acquired by the image information acquiring device; and a hot wind spray device spraying hot wind in the case that ice formation is expected according to the state of the road surface of the ice formation risk zone. Therefore, the present invention can definitely estimate ice formation possibility on the road surface regardless of temporary climatic conditions and prevent ice formation by definitely checking the state of the road surface changed in real time.

Description

Road Climate Conditions Visualization System

The present invention relates to a Road Climate Conditions Visualization System (RCCVS), and more particularly, when the temperature and humidity information satisfies a certain condition, the image information of the freezing risk section is acquired in real time to obtain the road surface condition It relates to a road climate condition visualization system that prevents safety accidents on the road in advance by spraying hot air when ice is expected in the freezing risk section according to the condition of the road surface by determining the

Since a vehicle is driven using the friction force between the tire and the road surface, the condition of the road surface is a very important factor in driving safety. The water film itself formed on the road surface also acts as a risk factor for driving safety, but the thin ice (black ice) formed by snow or condensation in winter, which is formed by a drop in temperature, is very dangerous because it is difficult for the driver to observe it with the naked eye.

In particular, thin ice is easy to occur in sections that do not get sunlight due to terrain conditions, the lower part of bridges, and the entrance of tunnels, even during the daytime. It is specially managed by setting it as a management section.

Typically, snow removal agents such as sand, solid snow removal agents, or liquid snow removal agents are provided in the risk management section, and when it is determined that there is a risk of freezing, workers directly spray them or take action by putting snow removal equipment on the site. However, these methods have limitations in that work efficiency is low and the prevention effect of safety accidents is not high as they are only post-management.

In order to solve this problem, the applicant of the present invention applied for and received registration of "Unmanned Snow Removal Liquid Injection System" (registered on March 13, 2017, hereinafter referred to as 'Prior Art Document 1') of Registered Patent No. 10-1717688. have. In the prior art document 1, the snow removal solution is sprayed unattended using electricity generated by the solar power module, and the snow removal solution is not frozen due to a temperature drop, thereby enabling efficient snow removal solution spraying.

However, the prior art document 1 has an advantage in that work efficiency is secured by realizing that the snow removal liquid can be sprayed unattended, but the snow removal liquid is wasted unnecessarily as the snow removal liquid is simply sprayed depending on the temperature or weather conditions. there was

In order to solve this problem, the applicant of the present invention applied for "image sensing type liquid snow removal spraying system" (registered on December 21, 2018, hereinafter referred to as 'prior art document 2') of Registered Patent No. 10-1933688. have been registered In the prior art document 2, it is possible to obtain an economical saving effect by preventing unnecessary spraying by systemizing the system to determine whether to spray the snow removal liquid based on the camera of the image sensing unit.

However, the prior art document 2 simply depends entirely on the image captured by the camera, so there is a high possibility of error occurrence, and local icing occurs on the road surface due to the change of sunlight conditions over time, so the prevention effect of safety accidents is also There were no high limits.

On the other hand, in Japanese Patent Application Laid-Open No. 2018-025528, "detection device, detection method, and detection program" that detects a road surface condition by irradiating a pair of light sources with different wavelengths (published on February 15, 2018, hereinafter referred to as "prior art") Document 3') has been published.

However, the prior art document 3 is proposed to grasp the state of the road surface being driven in real time based on the light source irradiated by the traveling vehicle, but only the local road surface condition can be grasped according to the slope of the road surface or the driving route, so the overall road surface It was difficult to understand the condition of the road, and there was a limitation in that it was difficult to obtain accurate road surface information.

The present invention has been proposed to solve the above technical problem, and it is possible to accurately predict the possibility of icing on the road surface regardless of temporary weather conditions, and it is possible to grasp the state of the entire road surface rather than the state of the local road surface, thereby real-time The purpose of this is to provide a Road Climate Condition Visualization System (RCCVS) that can accurately identify changing road surface conditions, take measures to prevent icing at an appropriate time, and solve the problem of wasting unnecessary manpower and resources. have.

Road Climate Conditions Visualization System (RCCVS) according to an embodiment of the present invention is to prevent icing in advance by determining the state of the road surface of the icing danger section DA, and the risk of icing in real time a temperature/humidity measuring device 10 for measuring temperature/humidity information of the section DA; an image information acquisition device 20 for acquiring image information of the freezing risk section DA in real time when the temperature and humidity information measured by the temperature and humidity measuring device 10 satisfies a predetermined condition; a road surface condition determination device 30 for determining a road surface condition using the real-time image information obtained by the image information obtaining apparatus 20; and a hot air spraying device 50 for spraying hot air when freezing is expected according to the condition of the road surface in the freezing risk section DA.

In addition, the image information acquisition device 20, a dimming module 22 for irradiating incident light of a specific wavelength region to the road surface of the freezing danger section (DA); an image capturing module 23 for obtaining image information on an area irradiated with incident light by the dimming module 22; and an image transmission unit 24 that transmits the image information acquired by the image capturing module 23 in real time to the road surface condition determination device 30 .

In addition, the dimming module 22 includes a first LED chip 22a for irradiating green light, a second LED chip 22b for irradiating blue light, and a third LED chip 22c for irradiating red light. By applying a current to at least one of the 1, 2, and 3 LED chips 22a, 22b, and 22c, seven types of incident light having different wavelength ranges according to the time interval Δ t1 may be irradiated.

In addition, the dimming module 22 changes the angle of the incident light according to a predetermined time interval ( Δt2 ), and the image capturing module 23 also tracks the position of the reflected light that is changed according to the time interval ( Δt2 ). have.

In addition, it is preferable that the Δ t2 satisfies the relation of 7n· Δt1 to 8n· Δt1 .

In addition, the road surface condition determination device 30 includes: a feature vector extraction unit 31 for extracting a feature vector based on the real-time image information transmitted from the image information acquisition device 20; A state determination unit 32 that compares the real-time feature vector extracted by the feature vector extractor 31 with the feature vectors for dry, wet, and icy road surfaces stored in the database D, and calculates similarities to determine the road surface condition. ; and a spray command unit 33 that transmits a spray command to the hot air spray device 50 when icing is expected based on the road surface condition information determined by the condition determination unit 32 in real time.

In addition, the feature vector extraction unit 31 extracts the average value of the feature vectors for each wavelength region extracted over the entire area of the road surface, and the state determination unit 32 extracts the average value of the feature vectors for each wavelength region and the database ( By comparing the feature vectors stored in D), the degree of similarity can be calculated to determine the road surface condition of the entire ice hazard section (DA).

And the feature vector extracting unit 31 extracts a feature vector for each wavelength range of the unit area ua based on the individual image information obtained by the image capturing module 23, and the state determining unit 32 extracts The degree of similarity is calculated by comparing the feature vector for each wavelength range and the feature vector stored in the database (D), and the risk of icing when the unit area (ua) judged as 'wet road' or 'ice road' is extracted more than N times. The road surface condition of the section DA may be determined as a 'wet road surface' or an 'ice road surface'.

On the other hand, the Road Climate Conditions Visualization System (RCCVS) according to another embodiment of the present invention is to prevent icing in advance by determining the state of the road surface of the icing danger section DA, and icing in real time. a temperature/humidity measuring device 10 for measuring temperature/humidity information of the dangerous section DA; an image information acquisition device 20 for acquiring image information of the freezing risk section DA in real time when the temperature and humidity information measured by the temperature and humidity measuring device 10 satisfies a predetermined condition; a road surface condition determination device 30 for determining a road surface condition using the real-time image information obtained by the image information obtaining apparatus 20; and a salt water spraying device 40 for spraying hot air when freezing is expected according to the condition of the road surface of the freezing risk section DA.

According to the Road Climate Conditions Visualization System (RCCVS) of the present invention, when the temperature/humidity information satisfies a certain condition, it acquires image information of the freezing risk section in real time and determines the road surface condition to obtain temporary weather conditions Regardless of the conditions, it is possible to accurately predict the possibility of icing on the road surface.

In addition, by additionally using image information on the road surface, it is possible to accurately grasp the condition of the road surface changing in real time.

Furthermore, it is possible to take measures to prevent freezing at an appropriate time by predicting the possibility of freezing in the freezing risk section in real time and spraying hot air, thereby solving the problem of wasting unnecessary manpower and resources.

In addition, accurate road surface condition information is provided by extracting a feature vector from the image information transmitted from the image information acquisition device, calculating the similarity based on the feature vectors of various cases stored in advance in the database, and determining the road surface condition based on this. can do.

In addition, the dimming module of the image information acquisition device irradiates incident light of various wavelength ranges, and the image capturing module acquires image information of the road surface using the reflected light according to the wavelength range, so that it is possible to accurately determine the road surface condition.

In particular, there is an advantage that more accurate and error-free state determination is possible because the overall state of the road surface can be grasped, not the state of a local road surface, depending on the embodiment.

In addition, it is possible to provide a road climate condition visualization system that is economical and has an excellent anti-icing effect through the management of the hot air injection device and the efficiency of operation control.

1 and 2 are block diagrams showing the overall configuration of a road climate condition visualization system (RCCVS) according to an embodiment of the present invention.
3 and 4 are conceptual views schematically illustrating the installation of a road climate condition visualization system (RCCVS) according to different embodiments of the present invention.
5 is a detailed shape according to the road surface condition of a general road.
6 is a conceptual diagram illustrating the principle of (a) a dimming module and (b) incident light according to an embodiment of the present invention.
7 is a histogram analysis result of image information acquired at night according to an embodiment of the present invention.
8 is a conceptual diagram illustrating an operating principle of an apparatus for acquiring image information according to an embodiment of the present invention.
9 is a conceptual diagram illustrating an allocation area and a unit area of a road surface according to an embodiment of the present invention;
10 is a conceptual diagram illustrating a concept of a multidimensional wave-field decomposition image of a state determination unit according to an embodiment of the present invention.
11 is a block diagram showing the overall operating principle of a road climate condition visualization system (RCCVS) according to an embodiment of the present invention.
Figure 12 is a conceptual diagram showing the operating principle of the hot air injection device according to an embodiment of the present invention.
13 is a conceptual diagram showing the operating principle of the salt water injection device according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The embodiments of the present invention may be modified in various forms, and the scope of the present invention should not be construed as being limited to the following examples. This example is provided to more completely explain the present invention to those of ordinary skill in the art.

1 and 2, the road climate condition visualization system (RCCVS) according to an embodiment of the present invention is to prevent icing in advance by determining the condition of the road surface of the icing danger section DA, It is configured to include a temperature/humidity measuring device 10 , an image information acquiring device 20 , a road surface condition determining device 30 , and a hot air spraying device 50 . As another embodiment, the salt water injector 40 may be included instead of the hot air injector 50 . In addition, it may include a database (D) including the accumulated temperature and humidity information and image information for the plurality of freezing risk sections (DA) and the corresponding feature vectors.

At this time, the database D, the temperature/humidity measuring device 10, the image information acquiring device 20, the road surface condition determining device 30, and the hot air spraying device 50 may transmit and receive information through a mutual communication network. , the communication network can be utilized such as wired and wireless Internet, LTE, LoRa communication using a sensor node.

Specifically, the temperature/humidity measuring device 10 is for measuring the temperature/humidity information of the freezing risk section DA in real time, and a temperature sensor 11 for measuring the temperature of the air and the road surface, and the atmospheric humidity It includes a humidity sensor 12 to measure, and the temperature and humidity information measured in real time is transmitted to the image information acquisition device 20 or the road surface condition determination device 30 by the temperature and humidity transmitter 13 .

On the other hand, the temperature/humidity measuring device 10 determines that the rainfall condition is satisfied when the current humidity is higher than or equal to the set humidity according to the season, and additionally determines that the snow condition is also satisfied when the current temperature is below the set temperature. In addition, when the temperature and humidity information measured in real time satisfies a rainfall condition or a snowfall condition, the information is transmitted to the image information acquisition device 20 to perform additional calculations.

In addition, when the temperature and humidity information measured by the temperature and humidity measuring device 10 satisfies a predetermined condition, the image information acquisition device 20 acquires image information of the freezing risk section DA in real time. , including an image capturing module 23 and an image transmitting unit 24 .

The image capturing module 23 is for acquiring image information of the external environment or road surface of the icing danger section DA, and is preferably implemented as a progressive method to enable pan/tilt rotation.

In addition, the image transmission unit 24 transmits the image information acquired by the image capturing module 23 in real time to a road surface condition determination device 30 to be described later. The image transmission unit 24 continuously transmits image information to the database D, so that the road surface condition determination device 30, which will be described later, is used as basic information for performing an operation. At this time, since the image information stored in the database D reacts sensitively to ambient brightness and temperature according to sunlight in the atmosphere, it is preferable to store the image information in consideration of time as an additional variable.

As shown in FIG. 3 , the image information acquisition device 20 according to an embodiment further includes a screen booth 21 , a screen booth 21 , an image capturing module 23 , and an image transmission unit 24 . may include

The screen booth 21 is formed by being surrounded by a black filter screen 21a, and lowers the brightness of the image of the external environment being photographed in order to reduce the distortion or error rate of the image that may be generated depending on the conditions of the external environment. function as a Accordingly, it is possible to further improve the recognition rate of snowfall or rainfall images according to weather conditions.

As shown in FIG. 4 , the image information acquisition device 20 according to another embodiment further includes a dimming module 22 , so that the dimming module 22 , the image capturing module 23 and the image transmission unit 24 are further included. may include

The dimming module 22 is for irradiating incident light of a specific wavelength region to the road surface of the icing danger section DA, and a plurality of them are continuously arranged along the longitudinal direction of the road, and the image capturing module 23 is also a dimming module ( 22) and may be arranged in plurality so as to be spaced apart from each other by a predetermined interval in the freezing risk section DA. Accordingly, a divided allocation area da provided with an individual dimming module 22 and an image capturing module 23 is formed along the longitudinal direction of the road. The habitual icing danger section DA, which is usually designated around 200m, is divided into a plurality of allocated areas da, and accurate image information of the road surface can be provided so that errors do not occur according to embodiments to be described later.

In more detail, in each of the individual dimming modules 22, an assigned area da to which incident light is irradiated is divided in the longitudinal direction, and the dimming module 22 irradiates the assigned area da with incident light of a specific wavelength region. . In this case, the image capturing module 23 may acquire road surface image information for the allocated area da based on the reflected light with respect to the incident light irradiated to the allocated area da.

The road surface condition determination device 30 determines the road surface condition using the real-time image information obtained by the image information obtaining device 20, and includes a feature vector extraction unit 31, a condition determination unit 32, and an injection command. It may include a part 33 .

On the other hand, as used in the specification of the present invention, '~unit' means 'a block configured to change or plug-in a system of hardware or software', that is, a unit that performs a specific function in hardware or software, or means block.

As shown in FIG. 2 , the road surface condition determination device 30 may be a management server provided in the central control room (C), an IoT remote system, an LTE router, and an Infogation Gateway for field information transmission and remote command transmission and a PLC control panel for controlling the temperature/humidity measuring device 10 , the image information acquiring device 20 , and the injectors 40 and 50 .

The feature vector extraction unit 31 extracts a feature vector based on real-time image information transmitted from the image information acquisition device 20 . In this case, the delivered real-time image information may be image information of the external environment or road surface of the risk management section DA.

In addition, according to the embodiment, when the image information is an image of an external environment, the state determination unit 32 provides a real-time feature vector extracted by the feature vector extraction unit 31 and rainfall or snowfall stored in the database D. The weather condition can be determined by comparing the feature vectors and calculating the similarity.

As another embodiment, when the transmitted image information is an image of a road surface, the state determination unit 32 includes a real-time feature vector extracted by the feature vector extraction unit 31 and a 'dry road surface' stored in the database D, ' By comparing feature vectors for 'wet road surface' and 'icy road surface', the degree of similarity can be calculated to determine the road surface condition.

및 색차 성분 분포에 대한 통계적 모멘트 벡터

일 수 있다.At this time, the feature vector for the image information compared by the state determination unit 32 is a statistical moment vector for the distribution of luminance components.

and a statistical moment vector for the distribution of chrominance components.

can be

Thereafter, the injection command unit 33 injects the injection devices 40 and 50 when icing on the road surface is expected based on the weather condition information or the road surface condition information determined by the condition determination unit 32 in real time. command will be sent.

Meanwhile, in the following, an embodiment in which the image information acquisition device 20 acquires image information of the road surface in real time and the road surface condition determination device 30 determines the road surface condition based on the image information of the road surface will be described in more detail. Explain.

Since the reflectance, transmittance, and refractive index of the incident light irradiated by the dimming module 22 of the image information acquisition device 20 are remarkably changed in the process of being reflected on the road surface, the characteristics of the reflected light can be used as a feature vector.

Specifically, (a) of FIG. 5 is a detailed photograph of a dry road surface, and (b) is a detailed photograph of an icy road surface. Reflectance, transmittance, and refractive index are inevitably changed significantly depending on whether it is ' and 'icy road surface', and in particular, it has to show different aspects depending on the nature of the incident light to be irradiated.

및 색차 성분 분포에 대한 통계적 모멘트 벡터

일 수 있다.That is, since the texture of the road surface is rough and irregular, the reflection is varied. In particular, the surface of the road with rain or icing has high transparency and widely dispersed reflections. Using this, the present invention can acquire road surface image information based on the reflected light for the incident light irradiated to the target area A, and the feature vector is a statistical moment vector for the distribution of the luminance component of the reflected light.

and a statistical moment vector for the distribution of chrominance components.

can be

Accordingly, the state determination unit 32 of the road surface condition determination device 30 determines the real-time feature vector extracted by the feature vector extraction unit 31 and the 'dry road', 'wet road' and 'icing' stored in the database D. By comparing feature vectors with respect to the 'road surface' and calculating the degree of similarity, the road surface condition may be determined as any one of the 'dry road surface', the 'wet road surface', or the 'icy road surface'.

On the other hand, there is a problem that various foreign substances or other floating objects are attached to the road surface to impair the accuracy of the image information. In order to solve this problem of accuracy, the dimming module 22 of the image information acquisition device 20 includes a first LED chip 22a for irradiating green light, a first LED chip 22a for irradiating blue light as shown in FIG. The second LED chip 22b and the third LED chip 22c for irradiating red light are configured to include a current applied to at least one of the first, second, and third LED chips 22a, 22b, and 22c to generate incident light. By implementing the irradiation method, incident light of various wavelength ranges is irradiated, and image information of the road surface is obtained by using the reflected light accordingly, so that it is possible to minimize the occurrence of errors according to the road surface condition.

The first, second, and third LED chips 22a, 22b, and 22c are filled with a sealing material 22d made of epoxy resin, acrylic, silica gel, or a combination thereof, preferably, the first LED chip 22a Silver may be irradiated with incident light corresponding to a wavelength of 510 to 550 nm, the second LED chip 22b is 440 to 480 nm, and the third LED chip 22c is 600 to 630 nm.

In one embodiment, as shown in (b) of FIG. 6, the dimming module 22 is selectively applied to the first, second, and third LED chips 22a, 22b, and 22c according to a predetermined time interval Δ t1. By applying a current, seven types of incident light may be irradiated according to the time interval Δ t1. If the time interval Δ t1 is 1 second (sec), the first, second, and third LED chips 22a, 22b, and 11c transmit green light, blue light, red light, and selectively mixed cyan light and magenta light at intervals of 1 second , yellow light, and white light may be sequentially irradiated, and depending on the embodiment, it is also possible to set an interval in which no current is applied to all of the first, second, and third LED chips.

In particular, in the case of night, it was found that the analysis result of the histogram of the reflected light according to the road surface condition was significantly different according to the wavelength range of the incident light. 7 is a histogram analysis result of reflected light for each wavelength on (a) a dry road surface and (b) a wet road surface, respectively, and it can be seen that the blue light shows significantly different results.

When irradiating incident light of various wavelength ranges, the image capturing module 23 of the image information acquisition device 20 may also continuously acquire image information of the road surface according to the time interval Δ t1, and various wavelength ranges Since the image information of the road surface is obtained by using the reflected light according to the incident light of In addition, since the state determination unit 32 also calculates the similarity to the feature vector stored in the database D based on the feature vector for each wavelength region of the incident light, it is possible to determine the road surface with high accuracy regardless of the state of the road surface. .

Additionally, the plurality of dimming modules 22 of the image information acquisition device 20 change the angle of the incident light according to a predetermined time interval Δ t2 as shown in FIG. 8, and the image capturing module 23 also The position of the reflected light that is changed according to the time interval ( Δt2 ) can be traced and taken. To this end, an individual dimming module 22 and an image pickup module 23 are provided for each allocated area da divided in the longitudinal direction of the road, and incident light is received by the dimming module 22 and the image pickup module 23 By changing the angle of the reflected light, it is possible to obtain image information of the entire road surface based on the unit area ua partitioned in the width direction of the road under the allocated area da.

At this time, the dimming module 22 may be implemented to adjust the angle in the vertical direction so that the angle can be continuously changed according to the time interval ( Δt2 ), and when the angle is changed, the square area formed by the incident light on the road surface is different. Therefore, it is preferable to design so that the focal length of the light source is changed according to the angle, so that the irradiation of the incident light to a certain unit area ua is realized. In addition, the light receiving unit 23a of the image capturing module 23 is also angled so that the reflected light forms a normal line according to the time interval Δ t2, and at the same time, it is preferably formed so that the height is adjusted to a position with high light receiving efficiency.

Accordingly, as shown in FIG. 9 , a dimming module 22 and an image capturing module 23 are respectively provided for each divided allocated area da in the longitudinal direction of the road, and individual dimming modules ( 22) and the image capturing module 23 can obtain image information for the unit area ua by adjusting the angle in the width direction, so it is possible to determine the road surface condition for the entire road area forming the icing risk section DA. Therefore, even when local wetting or icing of the road surface occurs, the advantage of being able to accurately determine the road surface condition by calculating the similarity with the feature vector stored in the database D is exhibited.

In particular, the dimming module 22 of the image information acquisition device 20 selectively applies current to the first, second, and third LED chips 22a, 22b, and 22c according to a predetermined time interval Δ t1, thereby By irradiating seven types of incident light with different wavelengths according to the interval ( Δ t1) and forming the angle to be continuously changed according to another time interval ( Δ t2), the entire area of the road surface with various wavelength ranges In contrast, image information of the road surface may be acquired by using reflected light according to the incident light.

In this case, it is preferable that the Δ t1 and Δ t2 have a multiple relationship, and in particular, Δ t2 is implemented to satisfy the relationship of 7n· Δt1 to 8n· Δt1 , so that the reflected light information for the 7 wavelength regions for the unit area (ua) is It is desirable to secure all (n is a natural number).

Accordingly, the feature vector extractor 31 of the road surface condition determination device 30 may also extract the feature vector for each wavelength region of the incident light over the entire region of the road surface. In addition, since the state determination unit 32 also calculates the similarity with the feature vector stored in the database D based on the feature vector for each wavelength region of the incident light, it is possible to determine the road surface with high accuracy regardless of the state of the road surface. .

On the other hand, according to the embodiment, the feature vector extraction unit 31 of the road surface condition determination device 30 extracts the wavelengths extracted over the entire area of the road surface in order to prevent errors from occurring due to local foreign substances or contamination on the road surface. The average value of the feature vectors for each range is extracted, and the state determination unit 32 may also calculate the average value of the feature vectors for each wavelength range and the similarity with the feature vector stored in the database D.

In addition, the state determination unit 32 determines that the similarity of the feature vectors individually calculated for each individual image information acquired by the image capturing module 23 is 'dry road', 'wet road' and It can be compared with the reference value of the degree of similarity classified by 'icy road surface' (the condition of the road surface).

That is, the state information on the unit area (a plurality of unit areas ua is set according to the width in the allocation area da) is converted into 'wet road surface' or 'ice road surface' based on the feature vector for each wavelength of individual image information. can be determined, and when the image information of the unit area ua determined as a 'wet road surface' or 'ice road surface' is extracted N or more times, the corresponding icing risk section (DA) as a whole is 'wet road surface' or 'icing road surface' It can be defined as 'road surface'. In this case, the N value may be defined differently as a set value in the case of acquiring the area of the area or more sensitive road surface condition information.

Meanwhile, an embodiment in which the feature vector extraction unit 31 and the condition determination unit 32 of the road surface condition determination device 30 determine the road surface condition based on image information of the road surface will be described in more detail below.

를 추가적으로 추출할 수 있다. 이하에서는 상기 모멘트 벡터를

으로 나타낸다(n은 웨이블릿 변환단계 차수).As shown in the conceptual diagrams of FIGS. 10A and 10B , the feature vector extraction unit 31 includes a low-pass region and Moment Vector for High-Pass Region

can be additionally extracted. Hereinafter, the moment vector is

(n is the wavelet transform step order).

In one embodiment, the feature vector extractor 31 partials the image information in block units, and divides the image information area into M×M block units based on the Daubechies wavelet filter to locally transform the wavelet. can be performed. Assuming that the nth-step wavelet transform is performed on each block (B), the moment in each direction with respect to the subband direction is calculated as follows, normalized to a representative value of the entire space, and the total wavelet moment feature vector for the sample calculated as a value.

와 데이터베이스(D)에 저장된 모멘트 특징벡터에 대한 유사도를 추가적으로 산정함으로써 보다 정확한 노면 상태 정보를 제공할 수 있다. 일 실시예로 구해진 특징벡터들은 각각 성분별 L² 거리함수의 절대 합으로 계산되어 유사도가 비교되는 것이 바람직하다.The state determination unit 22 is a divided moment vector

It is possible to provide more accurate road surface condition information by additionally calculating the degree of similarity with respect to the moment feature vector stored in the database (D). It is preferable that the feature vectors obtained in an embodiment are calculated as the absolute sum of the L ² distance functions for each component, and the similarity is compared.

Meanwhile, in the following, based on the matters shown in FIGS. 12 and 13 , the injection devices 40 and 50 selectively operated by the road surface condition determination device 30 as a device for preventing the freezing will be described in more detail. do.

In the hot air spraying device 50 according to an embodiment of the present invention, as shown in FIG. 12 , a heater 52 is provided in front of the blowing fan 51 , and the hot air is transmitted to the hot air supply pipe 53 . At this time, the injection nozzle 54 is branched from the hot air supply pipe 53 to spray the hot air on the road surface.

In particular, in the hot air injection device 50 , hot air supply pipes 53 may be disposed on both sides of the road in the risk management section DA, respectively, and the hot air supply pipe 53 is provided with a pressure check valve 55 . When the hot air is secured above a certain pressure, the pressure check valve 55 is opened so that the hot air can be sprayed. Accordingly, a sufficient injection distance to the opposite side of the road can be secured.

In addition, the injection nozzle 54 can be implemented to prevent snow accumulation by sweeping snow by inducing a fan-shaped hot air injection based on a flat nozzle type injection port to prevent snow accumulation when snowfall starts. The nozzle's injection port may be manufactured to change over time, or it may be implemented so that the injection direction is changed in real time.

The salt water spraying device 40 according to an embodiment of the present invention is for spraying salt water diluted with calcium chloride or sodium chloride to the freezing risk section DA, as shown in FIG. 13, and the salt water in the freezing risk section DA A pump 42 is provided so that the salt water is supplied from the storage tank 41 to deliver the salt water to the salt water supply pipe 43, and the injection nozzle 44 is branched from the salt water supply pipe 43 to spray the salt water on the road surface.

At this time, it is preferable that a pressure gauge 45 is provided in the brine supply pipe 43 to sense the injection pressure of the brine sprayed from the injection nozzle 44 in real time, and the brine supply pipe 43 is supplied with brine. When the on/off valve 46 for opening and closing is provided so that the injection pressure measured by the pressure gauge 45 falls below a certain level, it is considered that a problem has occurred in the pipe and the injection of the salt water can be stopped.

In addition, it is preferable to form a radiation insulation layer in the salt water storage tank 41 and the salt water supply pipe 43 to prevent freezing due to a drop in temperature, and by additionally providing a solar power module for generating electricity using sunlight , it is also possible to prevent freezing of salt water by utilizing the electricity produced by the solar power module to operate the heater.

Furthermore, the injectors 40 and 50 can selectively close the injection of the injection nozzles 54 and 44 based on the vehicle detection sensors 56 and 47 for recognizing the movement of the vehicle, and a plurality of Since the injection nozzles 54 and 44 are spaced apart from each other at regular intervals, the injection nozzles can be sequentially closed with a time difference by providing the vehicle detection sensors 56 and 47 at the forefront in the moving direction of the vehicle.

Although the description has been focused on embodiments of the Road Climate Conditions Visualization System (RCCVS) of the present invention, those of ordinary skill in the art will not depart from the spirit of the present invention described in the claims. The present invention can be variously modified and changed by addition, change, deletion, or addition of components within, and this will also be included in the scope of the present invention.

Furthermore, when it is determined that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention in describing the embodiments of the present invention, the detailed description thereof is omitted. And, the terms used are terms defined in consideration of functions in the embodiment of the present invention, which may vary according to the intention or custom of the user or operator. Therefore, the definition should be made based on the content throughout the specification of the present invention. Accordingly, the detailed description of the present invention is not intended to limit the present invention to the disclosed embodiments, and the appended claims should be construed as including other embodiments.

RCCVS: Road Climate Condition Visualization System
10: temperature/humidity measuring device 11: temperature sensor
12: humidity sensor 13: temperature/humidity transmitter
20: image information acquisition device 21: screen booth
22: dimming module 23: image capturing module
24: image transmission unit 30: road surface condition determination device
31: feature vector extraction unit 32: state determination unit
33: injection command unit 50: hot air injection device

Claims (9)

It is to prevent icing in advance by determining the condition of the road surface in the icing danger section (DA).
a temperature/humidity measuring device 10 for measuring temperature/humidity information of the freezing risk section (DA) in real time;
When the temperature/humidity information measured by the temperature/humidity measuring device 10 satisfies a certain condition, the incident light of a specific wavelength region is used to acquire image information of the freezing risk section DA in real time. a dimming module 22 for irradiating the road surface of; an image capturing module 23 for obtaining image information on an area irradiated with incident light by the dimming module 22; and an image transmission unit 24 for transmitting the image information acquired by the image capturing module 23 in real time to the road surface condition determination device 30;
a feature vector extraction unit 31 for extracting a feature vector based on the real-time image information transmitted to determine a road surface condition using the real-time image information acquired by the image information acquisition device 20; A state determination unit 32 that compares the real-time feature vector extracted by the feature vector extractor 31 with the feature vectors for dry, wet, and icy road surfaces stored in the database D, and calculates similarities to determine the road surface condition. ; and a spray command unit 33 that transmits a spray command to the hot air spray device 50 when icing is expected based on the road surface condition information determined by the condition determination unit 32 in real time. device 30; and
A hot air spraying device 50 for spraying hot air when freezing is expected according to the condition of the road surface of the freezing risk section DA;
A plurality of the dimming modules 22 are sequentially arranged to be spaced apart from each other at regular intervals along the longitudinal direction of the freezing danger section DA, and the image capturing module 23 is also arranged in plurality so as to correspond to the dimming module 22 and individually The dimming module 22 irradiates incident light to the allocated area da divided along the longitudinal direction, and the individual image capturing module 23 obtains image information by using the reflected light for the allocated area da,
The individual dimming module 22 includes a first LED chip 22a for irradiating green light, a second LED chip 22b for irradiating blue light, and a third LED chip 22c for irradiating red light. ,3 A current is applied to at least one of the LED chips 22a, 22b, and 22c to irradiate seven types of incident light having different wavelength ranges according to the time interval Δ t1,
The individual dimming module 22 and the image capturing module 23 are provided to correspond to the divided allocated area da, and based on the unit area ua partitioned in the width direction of the road under the allocated area da, the entire road surface In order to obtain an image of In Fig. 23, the angle and height are adjusted so that the light receiving unit 23a is normal to the reflected light to track the position of the reflected light that is continuously changed along the unit area ua divided by the time interval Δ t2. Δt2 satisfies the relation of 7n·Δt1 or 8n·Δt1 ( provided that n is a natural number),
The feature vector extraction unit 31 extracts the average value of the feature vectors for each wavelength region extracted over the entire area of the road surface, and the state determination unit 32 includes the extracted average value of the feature vectors for each wavelength region and the database (D). By comparing the feature vectors stored in the
In the hot air injection device 50, a plurality of injection nozzles 54 are arranged at regular intervals, and a vehicle detection sensor 56 is provided at the forefront in the moving direction of the vehicle to sequentially close the injection nozzles with a time difference. Road climate condition visualization system.
delete delete delete delete delete delete delete It is to prevent icing in advance by determining the condition of the road surface in the icing danger section (DA).
a temperature/humidity measuring device 10 for measuring temperature/humidity information of the freezing risk section (DA) in real time;
When the temperature/humidity information measured by the temperature/humidity measuring device 10 satisfies a certain condition, the incident light of a specific wavelength region is used to acquire image information of the freezing risk section DA in real time. a dimming module 22 for irradiating the road surface of; an image capturing module 23 for obtaining image information on an area irradiated with incident light by the dimming module 22; and an image transmission unit 24 for transmitting the image information acquired by the image capturing module 23 in real time to the road surface condition determination device 30;
a feature vector extraction unit 31 for extracting a feature vector based on the real-time image information transmitted to determine a road surface condition using the real-time image information acquired by the image information acquisition device 20; A state determination unit 32 that compares the real-time feature vector extracted by the feature vector extractor 31 with the feature vectors for dry, wet, and icy road surfaces stored in the database D, and calculates similarities to determine the road surface condition. ; and an injection command unit 33 that transmits an injection command to the salt water injection device 40 when icing is expected based on the road surface condition information determined by the condition determination unit 32 in real time. device 30; and
Including a; salt water injection device 40 for spraying salt water when freezing is expected according to the condition of the road surface of the freezing risk section (DA);
A plurality of the dimming modules 22 are sequentially arranged to be spaced apart from each other at regular intervals along the longitudinal direction of the freezing danger section DA, and the image capturing module 23 is also arranged in plurality so as to correspond to the dimming module 22 and individually The dimming module 22 irradiates incident light to the allocated area da divided along the longitudinal direction, and the individual image capturing module 23 obtains image information by using the reflected light for the allocated area da,
The individual dimming module 22 includes a first LED chip 22a for irradiating green light, a second LED chip 22b for irradiating blue light, and a third LED chip 22c for irradiating red light. ,3 A current is applied to at least one of the LED chips 22a, 22b, and 22c to irradiate seven types of incident light having different wavelength ranges according to the time interval Δ t1,
The individual dimming module 22 and the image capturing module 23 are provided to correspond to the divided allocated area da, and based on the unit area ua partitioned in the width direction of the road under the allocated area da, the entire road surface In order to obtain an image of In Fig. 23, the angle and height are adjusted so that the light receiving unit 23a is normal to the reflected light to track the position of the reflected light that is continuously changed along the unit area ua divided by the time interval Δ t2. Δt2 satisfies the relation of 7n·Δt1 or 8n·Δt1 ( provided that n is a natural number),
The feature vector extraction unit 31 extracts the average value of the feature vectors for each wavelength region extracted over the entire area of the road surface, and the state determination unit 32 includes the extracted average value of the feature vectors for each wavelength region and the database (D) By comparing the feature vectors stored in the
The salt water injection device 40 is characterized in that a plurality of injection nozzles 44 are arranged at regular intervals, and a vehicle detection sensor 47 is provided at the forefront in the moving direction of the vehicle to sequentially close the injection nozzles with a time difference. Road climate condition visualization system.

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