KR100754509B1 - Prediction system of diffusion pattern using a lot of GPS buoy and method thereof - Google Patents

Abstract

The present invention provides a system and method for predicting the spread of running water using a plurality of GPS buoys, comprising: a GPS receiver installed in a buoy and receiving buoy position information which is information about a position of a buoy moving over time; A storage unit installed in the buoy and storing the buoy position information received by the GPS receiver at a predetermined time period; A transmission unit installed in the buoy and transmitting time period buoy position information which is buoy position information stored at a predetermined time period in the storage unit; A calculation unit for calculating a diffusion coefficient, which is a reference value for the degree of diffusion of flowing water from which the buoy is dropped, using time period buoy position information received from the transmission unit; And a spreading pattern prediction system and a method using a plurality of GPS buoys, including a predicting unit predicting a spreading pattern as a criterion for the spreading path of the flowing water from which the buoy is dropped using the spreading coefficient calculated by the calculating unit. According to the disclosed system and method for spreading patterns using a plurality of GPS buoys, it is possible to predict the exact spreading pattern of the flowing water by reflecting the observation environment of the flowing water on which the buoy is dropped. In addition, it is possible to check the individual movement path for each dropped buoy, and even if a buoy is lost or not recovered, information can be transmitted, thereby reducing waste of manpower and time.

GPS, Buoy, Flow, Spread

Description

Prediction system of diffusion pattern using a lot of GPS buoy and method

1 is a block diagram of a spread pattern prediction system using a plurality of GPS buoys according to a preferred embodiment of the present invention;

2 is a flowchart illustrating a spreading pattern prediction method using a plurality of GPS buoys according to a preferred embodiment of the present invention;

3 is an exemplary view showing a path in which a plurality of buoys are moved when seawater is introduced;

Figure 4 is an exemplary view showing the spread of floating soils occurring during the bridge work in the river estuary.

<Explanation of symbols for main parts of the drawings>

100: buoy 110: GPS receiver

120: storage unit 130: transmission unit

140: calculator 150: predictor

The present invention relates to a spreading pattern prediction system and method using a plurality of GPS buoys, and more particularly, to spreading prediction using a plurality of GPS buoys to receive information about the location of the plurality of buoys moving by setting a time period System and method.

With the increasing importance of the environment, grounding of ships in coastal waters, wastewater and pollutant discharge and discharge accidents from upstream river basin plants can cause catastrophic environmental damage. In addition, a large amount of floating soil occurs during the construction of roads, bridges, and ports along coasts or rivers, causing frequent damage to nearby fisheries and ecosystems.

As a technique for solving such an environmental problem, a method of observing a spreading pattern of flowing water is generally used by installing a Global Positioning System (GPS) receiver in a buoy.

In the conventional general method, the buoy is floated where there is running water, and then the location information of the buoy is received from the satellite through a GPS receiver installed in the buoy. The method of obtaining predetermined information is used.

The conventional method of observing the diffusion pattern by installing GPS in the buoy has a problem that it is difficult to accurately observe the flow rate depending on the wind speed because the location information of the buoy moves uniformly regardless of the observation environment.

 In addition, there is a problem that not only can not receive the location information moved according to each buoy, but also if the buoy is lost or not recovered, there is a problem that can lose all the information.

The present invention was created to solve the above-described problems, and sets a time period reflecting an observation environment such as wind speed, and distinguishes the position information moved according to each buoy to facilitate information on the position at which the buoy moves. It is an object of the present invention to provide a spreading aspect prediction system and method for receiving.

Other objects and advantages of the invention will be described below and will be appreciated by the embodiments of the invention. In addition, the objects and advantages of the present invention can be realized by means and combinations indicated in the claims.

The present invention for achieving the above object is a system for predicting the spread of running water using a plurality of GPS buoys, which is installed in the buoys, and buoy which is information about the position of the buoy moves over time GPS receiver for receiving location information; A storage unit installed in the buoy, storing the buoy position information received by the GPS receiver at a predetermined time period, and storing a buoy identification value which is a unique value assigned to the buoy so as to distinguish each buoy; A transmission unit installed in the buoy and transmitting time period buoy position information and the buoy identification value which are the buoy position information stored in the predetermined time period in the storage unit; A calculation unit for calculating a diffusion coefficient which is a reference value for the degree of diffusion of the flowing water from which the buoy is dropped, using the time period buoy position information and the buoy identification value transmitted from the transmission unit; And a predicting unit predicting, by computer modeling, an expected path spreading pattern, which is a criterion for the spreading path of the flowing water from which the buoy is dropped, using the diffusion coefficient calculated by the calculating unit. It may be set by the wind speed information detected by the wind speed detection means mounted to the buoy.

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On the other hand, a method for predicting the spread of running water using a plurality of GPS buoys, comprising: a position information receiving step of receiving buoy position information which is information about a position of the buoy to move over time; A buoy identification value, which is a unique value assigned to the buoy so as to store the buoy position information and distinguish the buoy set in the buoy according to a time period set by the wind speed information sensed by the wind speed detecting means mounted on the buoy. Buoy information storage step of storing; A buoy information transmission step of transmitting time period buoy position information and the buoy identification value which are buoy position information stored in the time period in the buoy information storage step; A diffusion coefficient calculation step of calculating a diffusion coefficient which is a reference value for the degree of diffusion of the flowing water from which the buoy is dropped, using the time period buoy position information and the buoy identification value transmitted in the buoy information transmission step; And a diffusion phase prediction step of predicting, by computer modeling, an expected path diffusion pattern as a criterion for the diffusion path of the flowing water from which the buoy is dropped using the diffusion coefficient calculated in the diffusion coefficient calculation step.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the present specification and claims should not be construed as being limited to the common or dictionary meanings, and the inventors should properly explain the concept of terms in order to explain their invention in the best way. Based on the principle that can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention.

Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.

1 is a block diagram of a spread pattern prediction system using a plurality of GPS buoys according to a preferred embodiment of the present invention, Figure 2 is a flow chart of a spread pattern prediction method using a plurality of GPS buoys according to a preferred embodiment of the present invention Indicates.

First, as shown in FIG. 1, a spreading mode prediction system using a plurality of GPS buoys according to an embodiment of the present invention includes a GPS receiver 110, a storage unit 120, and a transmitter (installed in the buoy 100). 130, a calculator 140, and a predictor 150.

First, the GPS receiver 110 is installed in the buoy 100 and receives buoy position information, which is information about a position at which the buoy 100 moves over time.

The distance values between at least three satellites and the GPS receiver 110 are respectively obtained, and the position information of the GPS receiver 110 based on the latitude and longitude of the earth is obtained from the at least three distance values. Therefore, the buoy 100 can know the direction of movement by the satellite even if it is located where the flowing water.

The storage unit 120 is installed in the buoy 100, and stores the buoy position information received by the GPS receiver 110 at a predetermined time period. Here, the predetermined time period may be determined by the information on the wind speed.

For example, if the wind speed is low, the buoy position information is stored at five-minute intervals such as 00:05, 00:10, 00:15, and if the wind speed is fast, 00:01, 00:02, 00:03 and Similarly, the buoy position information is stored in one minute period to obtain the buoy position information according to a period of time.

If the wind speed is slow as described above, since the time period is stored at intervals of 5 minutes, the space stored in the storage unit 120 remains rather than storing at intervals of 1 minute. Therefore, if the time period is set differently, not only the storage space of the storage unit is wasted, but also a precise diffusion pattern can be predicted to meet the observer's observation purpose.

Meanwhile, the embodiment describes obtaining the buoy position information according to a period of 5 minutes or 1 minute, but the present invention is not limited thereto, and it is possible to obtain the buoy position information at various cycles according to the wind speed.

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Here, the information on the wind speed and the storage period based on the wind speed is preferably to be set by the experimenter prior to dropping the buoy 100, the wind speed detection means (not shown) using a propeller or the like buoy ( 100, it may be controlled to automatically set the time period according to the detected wind speed.

Meanwhile, the storage unit 120 further stores a buoy identification value which is a unique value assigned to the buoy 100 so as to distinguish the buoy 100 from each other. Therefore, when using a plurality of the buoy 100 to accurately grasp the flow of a wide range, it is possible to obtain the position information to be moved for each buoy 100, accordingly the individual movement path of the dropped buoy 100 You can check.

The transmitter 130 is installed in the buoy 100, and transmits the time period buoy position information and the buoy identification value, which are the buoy position information stored in the predetermined time period, in the storage unit 120.

Even when the buoy 100 floating in the flowing water is lost or cannot be recovered due to a disaster such as a tide change or a typhoon, the time period buoy location information and the buoy identification value are transmitted wirelessly to provide a time period in real time. Not only can the buoy position information be received, but also the loss of time period buoy position information can be prevented.

Hereinafter, the flow until receiving the position information of the buoy 100 is transmitted to the calculation unit 140 will be described.

The location information of the buoy 100 is measured based on the latitude and longitude of the earth, and the location information is stored in the storage unit 120 at a predetermined time period, so that the buoy 100 can be distinguished. The unique identifier assigned to 100) is also stored.

The transmitter 130 transmits the time period buoy position information and the buoy identification value, which are the buoy position information stored in the storage unit 120 at a predetermined time period, to the calculation unit 140. However, the transmitting unit 130 according to the present embodiment is characterized in that the real-time transmission by wireless, but can also be transmitted by wire, the embodiment is for convenience of description, it is common in the technical field to which the present invention belongs Of course, it can be changed or modified by those with knowledge of the appropriate.

The calculation unit 140 calculates a diffusion coefficient which is a reference value for the degree of diffusion of the flowing water dropped by the buoy 100 using the time period buoy position information and the buoy identification value transmitted from the transmission unit 130. .

[Equation 1] to obtain the diffusion coefficient is expressed as follows.

[Equation 1]

In Equation 1, (Xi, Yi) is a position at time t of the i-th buoy, n is the number of dropped buoys, and Kx and Ky are dispersion coefficients or diffusion coefficients of x and y, respectively. Here, the reliability of the dispersion increases as the number of dropped buoys 100 increases.

The prediction unit 150 predicts a spreading pattern that is a criterion for determining a spreading path of flowing water from which the buoy 100 is dropped by using the diffusion coefficient calculated by the calculating unit 140. From the diffusion coefficient calculated using Equation 1, which is a result of the operation of the buoy 100, the predicted path of the buoy 100 moving to the target area is computer modeled in real time to determine the diffusion pattern of the flowing water. It can be predicted.

Hereinafter, a diffusion pattern prediction method according to a preferred embodiment of the present invention will be described.

2 is a flowchart illustrating a spreading pattern prediction method using a plurality of GPS buoys according to a preferred embodiment of the present invention. In the following description, the same reference numerals as in FIG. 1 refer to the same members performing the same functions.

First, the GPS receiver 110 receives buoy position information, which is information about a position at which the buoy 100 moves over time (S200).

Thereafter, the storage unit 120 stores the buoy position information according to a time period set by the wind speed information sensed by the wind speed detecting means mounted on the buoy, and the buoy 100 set in the buoy 100. Store the buoy identification value, which is a unique value assigned to distinguish (S210).

Then, the transmission unit 130 transmits the time period buoy position information and the buoy identification value which is the buoy position information stored in the time period in the buoy information storage step (S210) (S220).

Next, the calculation unit 140 uses the time period buoy location information and the buoy identification value transmitted in the buoy information transmission step (S220) to determine the degree of diffusion of the flowing water to which the buoy 100 is dropped. The diffusion coefficient which is a numerical value is calculated (S230).

Then, the prediction unit 150 uses the diffusion coefficient calculated in the diffusion coefficient calculation step (S230) to calculate the predicted path diffusion pattern, which is a criterion for the diffusion path of the flowing water, to which the buoy 100 is dropped. It is predicted by (S240).

Hereinafter, the experimental results by the diffusion pattern prediction system and method using the configuration employed in the present invention will be described.

First, FIG. 3 is an exemplary view showing a route in which a plurality of buoys 100 are moved when seawater is inflowed. On the basis of the data transmitted from the buoys 100, the movement trajectories for each of the buoys 100 connecting the movement paths of the buoys 100 are shown.

As can be seen in FIG. 3, the dropped coastal points show similar paths for each of the buoys 100, and movement paths that do not have similar paths can predict the diversity of turbulent or flowing water.

4 is an exemplary view showing the diffusion of suspended soils generated during the bridge construction in the river estuary, it can be seen that as the number decreases to 10 as a reference value, the suspended soils are diffused as the concentration of suspended soils decreases. In addition, the diffusion coefficient calculated by using Equation 1 shown above is categorized for each of the buoys 100, and then, in conjunction with this information, the diffusion patterns of soil soil having a mass medium through computer modeling. And relative concentrations can be predicted. Here, the relative concentration can be understood as the difference in the number of the buoy 100 in the region having the same area.

As mentioned above, although this invention was demonstrated by the limited embodiment and drawing, this invention is not limited by this, The person of ordinary skill in the art to which this invention belongs, Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.

According to the spread pattern prediction system and method using a plurality of GPS buoys of the present invention, since the position information of the buoy is received by setting a time period differently according to the wind speed information, the accurate spread pattern can be predicted. In addition, the buoy identification value stored in each buoy can be used to identify the individual movement path for each dropped buoy. In addition, by wirelessly transmitting the location information stored in the buoy can receive the location information in real time even if the buoy is lost or not recovered.

Claims (4)

A system for predicting runoff using multiple GPS buoys, A GPS receiver installed in the buoy and receiving buoy position information which is information about a position of the buoy moving with time; A storage unit installed in the buoy, storing the buoy position information received by the GPS receiver at a predetermined time period, and storing a buoy identification value which is a unique value assigned to the buoy so as to distinguish each buoy; A transmission unit installed in the buoy and transmitting time period buoy position information and the buoy identification value which are the buoy position information stored in the predetermined time period in the storage unit; Calculation of calculating diffusion coefficients (Kx, Ky), which are reference values for the degree of diffusion of flowing water from which the buoy is dropped, using the time period buoy position information and the buoy identification value transmitted from the transmission unit by Equation 1 part; And And a prediction unit for predicting, by computer modeling, an expected path diffusion pattern as a criterion for the diffusion path of the flowing water from which the buoy is dropped using the diffusion coefficient calculated by the calculation unit. The predetermined time period, Diffusion pattern prediction system using a plurality of GPS buoys, characterized in that set by the wind speed information detected by the wind speed detection means mounted to the buoy.

(Xi, Yi): position at time t of the i th buoy n: number of buoys dropped Kx, Ky: each diffusion coefficient of x, y delete delete A method for predicting runoff using multiple GPS buoys, A location information receiving step of receiving buoy position information, which is information on a position at which the buoy moves with time; A buoy identification value, which is a unique value assigned to the buoy so as to store the buoy position information and distinguish the buoy set in the buoy according to a time period set by the wind speed information sensed by the wind speed detecting means mounted on the buoy. Buoy information storage step of storing; A buoy information transmission step of transmitting time period buoy position information and the buoy identification value which are buoy position information stored in the time period in the buoy information storage step; Equation (2) is used to calculate a diffusion coefficient (Kx, Ky), which is a reference value for the degree of diffusion of flowing water from which the buoy is dropped, using the time period buoy location information and the buoy identification value transmitted in the buoy information transmission step. Diffusion coefficient calculation step; And A plurality of GPS buoys including a spreading phase prediction step of predicting, by computer modeling, an expected path spreading pattern, which is a criterion for the spreading path of the flowing water from which the buoy is dropped, using the spreading coefficient calculated in the diffusion coefficient calculating step. Diffusion pattern prediction method using

(Xi, Yi): position at time t of the i th buoy n: number of buoys dropped Kx, Ky: each diffusion coefficient of x, y

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