KR20180104815A - Method for oil spill detection and diffusion prediction - Google Patents

Abstract

The present invention relates to an oil spill detection and diffusion prediction method. The present invention comprises a step of inputting information on a point to be analyzed by a user to a user input unit when an oil spill accident occurs; a step of storing the information input by the user in an information storage unit; a step of searching satellites capable of taking a photograph based on the input information through a satellite search unit; a step of transmitting photographing request information to an institution that manages a satellite image through an information transmission unit if the user selects an appropriate satellite; a step of receiving the satellite image transmitted from a relevant institution through an image reception unit after transmitting the photographing request information; a step of inputting the received satellite image to an image input unit by the user for oil spill detection; a step of performing an analysis by using the received satellite image and auxiliary data through an image analysis unit; and a step of displaying the analyzed image through a screen display unit and a monitoring unit. According to the present invention, oil spill detection and prediction can reduce damage by rapid disaster prevention.

Description

[0002] Oil spill detection and diffusion prediction methods

The present invention provides a user with a satellite that can quickly capture an outflow area using satellite orbit information for rapid disaster prevention in the event of an oil spill, and provides information on the oil spill detection and the expected outflow route through image analysis And a method for predicting the oil spill.

In Korea, coastal oil pollution accidents occur each year, and the cost of disaster recovery is spent annually. Therefore, rapid disaster prevention is an important part of reducing the damage, and it requires a system to detect a wide range of oil spill areas and to estimate the area resulting from the spill.

Satellite images have the advantage of shooting large area at a time compared to images of UAV or helicopter. In other words, when a wide range of oil spills occur, it is possible to recognize the accident area at a glance by using the satellite image, and it is possible to establish a rapid disaster prevention plan. This is proved by software that detects the foreign oil spill using satellite image It is an example.

However, in the case of SAR (Synthetic Aperture Radar) images used in oil spill detection, since the general user has difficulty in image processing, overseas oil spill detection software mostly provides the final image processed by the developer in the service form have.

However, in order to establish a stage-by-stage disaster prevention plan, a system that includes both detection and diffusion range prediction is needed.

However, since the actual consumer is not a person who specializes in satellite image processing, integrated oil spill detection and diffusion prediction software is needed for disaster prevention planning with image verification, image processing, spread range prediction, and so on.

Therefore, in order to expedite the detection and disaster prevention of oil spill by using the satellite image, the unfamiliar customers can search the satellites that can shoot at the accident point within a given time, provide the results, analyze the satellite images, It is urgent to develop a system that provides information such as routes.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and system for providing a user with a satellite search capable of photographing an accident spot within a shortest time using TLE (Two Line Elements) The present invention provides an information transmission / reception system for detecting an oil spill and estimating an oil spill using the received satellite image.

According to an aspect of the present invention, there is provided a method of predicting and estimating an oil spill, comprising the steps of: inputting information on a point to be analyzed by a user when a spill occurs, Storing information input by the user in an information storage unit; Searching satellites that can be photographed based on the input information through a satellite search unit; When the user selects an appropriate satellite, transmitting photographing request information to an organization managing a satellite image through an information transmitting unit; Receiving a satellite image transmitted from a relevant institution after transmitting the photographing request information through an image receiving unit; Inputting the received satellite image to the image input unit for oil leakage detection; Analyzing the input satellite image and auxiliary data through an image analysis unit; And displaying the analyzed image through a screen display unit.

In the present invention, the information input to the user input unit and the photographing request information are coordinates of an accident point, an image capturing time range, a satellite image type, and an amount of clouds.

In the present invention, the satellite image may be an SAR image or an optical image.

In the present invention, the auxiliary data may be a bird, a sea breeze, or a wave collected at an external site.

In the present invention, the analysis through the image analysis unit calculates the oil spill area, the outflow area and the outflow amount through the satellite image, and predicts the movement speed and the direction of the oil using the sea breeze and the algae data.

The monitoring unit may include a map storage display unit, an estimated path display unit, a map reduction unit, a map control unit, a tool window, a layer control unit, and a layer detailed display unit.

According to the present invention, there is an effect of reducing the damage due to rapid disaster prevention by detecting the oil spill and estimating the oil spill utilizing the satellite image of the marine oil pollution accident point within the shortest time using the orbit information (TLE).

1 is a flowchart illustrating an oil leak detection and diffusion prediction method according to an embodiment of the present invention.
2 is a visualization of oil spill detection and diffusion prediction according to an embodiment of the present invention.
3 is a schematic diagram of a monitoring according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.

Hereinafter, an oil leak detection and diffusion prediction method according to an embodiment of the present invention will be described in detail.

1 is a flowchart illustrating an oil leak detection and diffusion prediction method according to an embodiment of the present invention.

Referring to FIG. 1, in an oil spill detection and diffusion prediction method of the present invention, information on a point to be analyzed by a user is input to a user input unit when an oil spill accident occurs (S100).

Here, the user input unit inputs search constraints such as coordinates of an accident point at which the user wants to perform oil spill detection, a photographing time range desired by the user, a satellite image type, and the amount of clouds in the case of an optical satellite.

Then, the information input by the user is stored in the information storage unit (S200). That is, the input information such as the accident area coordinates, the shooting time range, the satellite image type (SAR or optical), and the amount of clouds is stored in the information storage unit.

Subsequently, a satellite capable of being photographed based on the input information is searched through a satellite search unit (S300).

Here, the satellite search unit fetches the input information through the information storage unit and executes software for calculating the orbit of the satellite by taking TLE information from an external site providing the TLE. In this case, by using the current position of the satellite and the orbit prediction result, it is possible to know which satellite is passing the accident point where the photographing is required, so that the result can be adjusted according to the limitations such as the time range specified by the user, And the results can be provided to the user in a time order in which the point of the accident can be photographed.

Then, if the user selects an appropriate satellite, the photographing request information is transmitted to an organization that manages the satellite image through the information transmitting unit (S400).

Here, if the user selects a satellite from the result provided by the satellite searching unit, the information transmitting unit transmits the photographing request information to the relevant institution. The photographing request information means a retrieval restriction item input by the user in the user input unit. That is, coordinates of an accident area, a photographable time range desired by the user, a type of satellite image (SAR or optical) required by the user, and the amount of cloud, etc.

Then, the satellite image transmitted from the relevant organization is received through the image receiving unit (S500). In other words, after transmitting the photographing request information, if a response is received from the relevant institution that the photographing is impossible, the user can select another suitable satellite. If the photographer is informed that photographing is possible, the SAR image or optical image, And received by the receiving unit.

Subsequently, the received satellite image for oil spill detection is input to the image input unit (S600).

In the image input unit, the user inputs a satellite image to detect an oil spill. Since the input satellite image is an optical image or SAR image, and the optical image and the SAR image are different in image acquisition method, the image analysis unit calculates the oil spill area, the outflow area, and the outflow amount using different techniques.

Then, the input satellite image and the auxiliary data are analyzed through the image analysis unit (S700). At this time, the image analysis unit drives an algorithm installed in the image analysis unit using an SAR image or an optical image, which is a satellite image, and ancillary data such as algae, sea breeze, and waves collected from an external site.

Based on the fact that the input satellite images are optical or SAR images and that the spectral bands of the oil, sea, and land regions are different for the optical image, the candidate regions of the oil spill area are estimated through the ratio of the bands of the multiple spectral bands do. The geometric distortion of each pixel is corrected using the satellite photographing angle and attitude information at the photographing point, and then the outflow area is calculated and the outflow amount is estimated using the color information of the oil band. The color of the oil band varies depending on the thickness of the oil. In general, it becomes white when it is light oil and becomes brown when it becomes thick.

In case of SAR image, the noise of the initial image is severe, so the noise is removed and the oil spill area is detected. In general, SAR satellites have a geometric distortion because they generate images by using backscattering signals that return radar at a tilt angle and then return. In order to calculate the accurate runoff area, this geometric distortion must be corrected. In general, a technique of generating an image taken at a tilt angle as a vertically shot image is applied, which is called SAR image preprocessing. Using the preprocessed SAR images, calculate the correct oil spill area.

Estimate the number of oil particles to be expressed based on the outflow area, outflow rate, and type of oil using the initial input data for the outflow area, outflow area and outflow amount obtained from the optical image and SAR image. The types of oil are divided into crude oil, diesel, gasoline, etc., and user input is obtained by field inspection and actual measurement. It is a coefficient that must be inputted because the moving speed and sinking degree are different according to the type of oil.

It also predicts the speed and direction of oil movement using oceanographic data, ie, sea breeze and algae data. Linear interpolation is used to match the coefficients of sea breeze and algae data with the initial runoff times. The distance between the oil particles and the northeast oceanography data is calculated to estimate the movement route of the oil particles by determining the nearest oceanography data as the oil particle movement coefficient. In general, the coefficient due to sea breeze is 0.03, and the coefficient due to algae is 100, and the movement in the vertical direction is almost ignored when moving due to algae. The overall diffusion area is estimated by taking into consideration the influence due to buoyancy in the predicted travel route and the movement due to turbulent diffusion.

Finally, the analyzed image is displayed through the screen display unit and the monitoring unit and is provided to the user (S800). At this time, the screen display unit visualizes an algorithm that calculates the detection, area, and flow rate so that the user can view the algorithm. In other words, the screen display unit provides animations such as an outflow route, sea breezes, and algae as shown in FIG.

According to the present invention, a user who is unfamiliar with a satellite image finds an optical satellite or a SAR satellite capable of quickly photographing a marine oil pollution accident spot within a shortest time using the TLE, and provides the user with the satellite, Oil spill can be detected quickly and the disaster can be predicted by prediction of oil spill.

Next, referring to FIG. 3, a monitoring method for allowing the administrator to view the series of steps will be described.

3 is a schematic diagram of a monitoring according to an embodiment of the present invention.

3, the information displayed on the web monitoring unit includes a map storage display unit 10, an estimated path display unit 20, a map reduction unit 30, a map control unit 40, a tool window 50, A control unit 60, and a layer detailed display unit 70. [

The map accumulation display unit 10 displays the changed accumulation at the lower left corner of the map when the enlarged map shown on the screen is enlarged or reduced.

The estimated path display unit 20 displays the detected ship and the oil spill estimation path. At this time, after extracting the oil region, convert it into a Shape file and display the Shape file on the map. As a result, the prediction result of the oil diffusion range can be estimated.

The map reduction unit 30 provides a mini-map of the entire map, and indicates at which point on the map the currently displayed screen is located.

The map control unit 40 includes a direction control unit 41 that moves in a selected direction when a direction button is pressed, a zoom slider 42 that enables enlargement and reduction of a map using a slider, and an operation control unit 43 that enables zoom in and zoom out.

The tool window 50 includes a coordinate change tool for changing coordinates of an image displayed based on a circle coordinate of a base map, a distance measuring tool for generating a window for displaying a distance between two points when a mouse is selected, An area calculation tool for calculating an area to be selected by selecting a point, a layer popup tool for displaying a description of a layer displayed on the map in a popup window, a search tool for searching for an image using a shooting date of the satellite image and an area on the map, And a real-time path checking tool for continuously checking the change of the moving path of the ship or the oil outflow area.

As a function of the layer control unit 60, it is possible to select and change the layer to be displayed on the screen. In addition to the result of the image processing software, the user can directly display the Shape file on the map, You can modify part of the vector file and modify the resulting file.

The layer detail display unit 70 displays a description of the layer currently displayed on the map as a layer status display window.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

10: map accumulation display part 20: estimated route display part
30: map reduction unit 40: map control unit
41: direction control section 42: zoom slider
43: motion control section 50: tool window
60: Layer control section 70: Layer detailed display section

Claims (6)

Inputting information about a point to be analyzed by a user to a user input unit when an oil spill accident occurs;
Storing information input by the user in an information storage unit;
Searching satellites that can be photographed based on the input information through a satellite search unit;
When the user selects an appropriate satellite, transmitting photographing request information to an organization managing a satellite image through an information transmitting unit;
Receiving a satellite image transmitted from a relevant institution after transmitting the photographing request information through an image receiving unit;
Inputting the received satellite image to the image input unit for oil leakage detection;
Analyzing the input satellite image and auxiliary data through an image analysis unit; And
And displaying the analyzed image through a screen display unit and a monitoring unit. The method according to claim 1,
Wherein the information input to the user input unit and the photographing request information are coordinates of an accident point at which oil spill detection is to be performed, a photographing time range, a satellite image type, and a cloud amount. The method according to claim 1,
Wherein the satellite image is an SAR image or an optical image. The method according to claim 1,
Wherein the auxiliary data is a bird, a sea breeze, and a blue sea collected from an external site. The method according to claim 1,
Wherein the analysis through the image analysis unit calculates an oil spill area, an outflow area, and an outflow amount through a satellite image, and predicts a movement speed and a direction of oil using sea breeze and algae data, Way. The method according to claim 1,
Wherein the monitoring unit includes a map accumulation display unit, an estimated route display unit, a map reduction unit, a map control unit, a tool window, a layer control unit, and a layer detail display unit.

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