KR101870743B1 - Tidal flat experience index forecasting apparatus and the method thereof - Google Patents
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Abstract
The present invention proposes a tidal-flat experience index that predicts or extracts the time, wind speed, weather, and temperature information of a tidal-flat experience at a specific time in a specific tidal-flat area in order to facilitate convenience and safety of the experience of the tidal- And a method for predicting the tidal flat experience index.
The tidal flats experience index forecasting device includes a marine survey data DB storing marine survey data including numerical algae, sea currents and tide tables; A weight setting unit for setting a weight for index basic information for deriving the tidal flats experience index; An ocean observation information collection unit for collecting current ocean observation information as an initial value for predicting exponential information for deriving the tidal flat experience index; An index basic information predicting unit for predicting index basic information for deriving the tidal flats experience index using the marine observation information; A marine survey data extracting unit for extracting tidal-flat experience possible time information by using tide information of a place and time that desire a tidal-flat experience, which is one of index basic information, by using the marine survey data DB; And a tidal flat experience index derived from the score of the index basic information corresponding to the index basic information predicted by the index basic information predicting unit and extracted by the marine survey data extracting unit and the weight of the index basic information, And a tidal flats experience index forecasting section including an experience index derivation section.
Description
The present invention relates to providing a tidal-flat experience index. More specifically, the present invention relates to a tidal-flat experience index providing method and apparatus for predicting or extracting a tidal-flat experienceable time, wind speed, weather, and temperature information at a specific time in a specific tidal- And a method for predicting the tidal flats experience index indicating the suitability and appropriateness of the experience of the tidal flats.
The environment of the sea varies from time to time, and this change has a great impact on the safety of marine activities, including marine leisure activities.
Accordingly, various forecasting or information providing systems for the marine environment have been developed.
For example, the data that are observed / predicted by the National Fisheries Research and Development Institute, the Korea Meteorological Administration and the National Oceanographic Research Institute, and other satellite data and model calculation information are constructed as systems that are provided only individually, In order to solve this problem, Korean Patent Laid-Open Publication No. 2016-0072432 systematically and historically manages and operates the state of marine environment information established in the network group set up, so that forecasts and alarms are established in predetermined areas or farms, To provide marine environmental observation data providing system.
Korean Patent Registration No. 1132828 discloses a method for collecting data provided for measurement or prediction for marine information operation and collecting at least one spatial region for a predetermined sea region according to a pre- And provides information indicating specific ocean information in the corresponding sea area based on the spatial data DB in response to a request from the user. do.
Korean Patent No. 1513591 discloses a method and system for displaying 3D spatial information generated by a web 3D engine that displays LOD and displays it on the screen in order to visualize marine spatial information accurately and accurately in real time so that web service can be performed over the Internet Launches a real-time ocean spatial information system using Web 3D, which provides tidal forecast data, tidal data, algae prediction data, weather satellite data, weather data, and typhoon route data, and electronic charts in conjunction with various real-time ocean data. do.
However, in the case of the above-mentioned prior arts, it is difficult for the performers of the marine activity to judge the suitability of their own marine activities in view of the forecast data and experience, and the problem that the inexperienced marine activists can not judge the suitability of the marine activity I have.
In addition, even experienced marine actors can not judge the suitability of marine activities due to the detailed marine environment. Especially, those who want to experience marine tidal flats can not make accurate judgment about the suitability of the current tidal flats experience activity, The prior art has a problem that it can not provide such a forecast.
SUMMARY OF THE INVENTION Accordingly, the present invention has been made keeping in mind the above problems occurring in the prior art, and it is an object of the present invention to provide a tidal flats experience index that predicts or extracts the time available for tidal-flat experience at a specific time, wind speed, And a method for predicting the tidal flats experience index.
In order to accomplish the above object, the tidal flats experience index prediction apparatus of the present invention comprises:
A marine survey database containing marine survey data, including numerical tidal currents, ocean currents and tidal currents;
A weight setting unit for setting a weight for index basic information for deriving the tidal flats experience index;
An ocean observation information collection unit for collecting current ocean observation information as an initial value for predicting exponential information for deriving the tidal flat experience index;
An index basic information predicting unit for predicting index basic information for deriving the tidal flats experience index using the marine observation information;
A marine survey data extracting unit for extracting tidal-flat experience possible time information by using tide information of a place and time that desire a tidal-flat experience, which is one of index basic information, by using the marine survey data DB; And
The tidal flats experience index which is derived from the index basic information predicting section and derives the tidal flats experience index using the score of the index basic information corresponding to the index basic information extracted by the marine survey data extracting section and the weight of the index basic information And a tidal flats experience index prediction unit including an index derivation unit.
The index basic information includes:
Includes tidal-flat experience hours, weather, maximum wind speed, and temperature information,
Wherein the weight for the exponential information is calculated by:
Considering the influence on the tidal-flat experience, the possible time for tidal-flat experience is 2.5, the weather is 0.8, the maximum wind speed is 0.5, and the temperature is 0.2.
The exponential basic information predicting unit predicts,
And a weather prediction unit for applying the ocean observation information to a weather prediction model (WRF) to predict the temperature, wind speed and weather at a predetermined time point in an area including a specific tidal flat.
The tidal flats experience index derivation unit,
The Tidal Flat Experience Index (R index )
Where S n is a score for each index basic information, W n is a weight of each index basic information, and k is the number of exponential basic information.The tidal flats experience index derivation unit,
After calculating the maximum value and the average value of the predicted exponential basic information, the wind speed may be configured to apply the maximum value as the exponential basic information, and the temperature may be configured to apply the average value as the exponential basic information.
According to another aspect of the present invention, there is provided a tidal flats experience index prediction method,
A weight setting step (S100) in which the weight setting unit (120) sets a weight for exponential basic information;
An ocean observation information collection step (S200) for the ocean observation information collection unit (130) to collect ocean observation information as an initial value for predicting exponential basic information after a predetermined time;
The exponential basic information predicting unit 140 estimates exponential basic information including weather, wind speed and temperature after a predetermined time in an area including a specific tidal flat using the collected ocean observation information and exponential basic information prediction models Information prediction process (S300);
An exponential basic information maximum value-average value calculation step S400 of calculating the maximum value and the average value of the predicted exponential basic information predicted by the tidal flat experience index derivation unit 160;
A marine survey data extraction step (S500) in which the marine survey data extraction unit (150) extracts the tidal flat experience possible time information using the tide information at the forecast time of the tidal flats experience index forecasting area from the marine survey data DB (110); And
(Step S600) of deriving the tidal flats experience index by multiplying the score of the index basic information by the weight and adding the sum to the number of the index basic information to derive the tidal flats experience index.
The tidal flats experience index derivation process (S600)
After calculating the maximum value and the average value of the predicted exponential basic information, the wind speed may be configured to apply the maximum value as the exponential basic information, and the temperature may be configured to apply the average value as the exponential basic information.
The tidal flats experience index (R index )
Where S n is a score for each index basic information, W n is a weight of each index basic information, and k is the number of exponential basic information.
The index basic information includes:
Includes tidal-flat experience hours, weather, maximum wind speed, and temperature information,
Wherein the weight for the exponential information is calculated by:
Considering the influence on the tidal-flat experience, the possible time for tidal-flat experience is 2.5, the weather is 0.8, the maximum wind speed is 0.5, and the temperature is 0.2.
The score of the exponential information,
5 hours for more than 2 hours of tidal-flat experience, 4 points for less than 1 hour and more than 2 hours, 3 points for less than 1 hour to 1 hour and 30 minutes, 2 minutes for less than 1 hour and 30 minutes Is set to one point,
The weather is set at 5 points for cloudy, 4 points for cloudy, 3 points for cloudy, 2 points for cloudy, 1 point for rain (over 60% of precipitation probability)
The maximum wind speed is 5 points for less than 2m / s, 4 points for more than 2m / s to less than 5m / s, 3 points for less than 5m / s to less than 9m / s, 2 points for less than 9m / A value of 14 m / s or more is set to 1 point,
The temperature is set at 5 points above 24 ° C, 4 points below 21 ° C and below 24 ° C, 3 points below 18 ° C and below 21 ° C, 2 points below 16 ° C and below 18 ° C and 1 point below 16 ° C .
The present invention having the above-described configuration provides an advantage of enhancing the safety of the tidal-flat experience by making it convenient for those who perform the tidal-flat experience and knowing the risk of the tidal-flat experience in advance.
1 is a configuration diagram of a tidal flats experience
2 is a detailed functional block diagram of the tidal flats experience
3 is a flowchart showing a process of a tidal flats experience index forecasting method.
In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.
The embodiments according to the concept of the present invention can make various changes and have various forms, so that specific embodiments are illustrated in the drawings and described in detail in this specification or the application. It is to be understood, however, that the intention is not to limit the embodiments according to the concepts of the invention to the specific forms of disclosure, and that the invention includes all modifications, equivalents and alternatives falling within the spirit and scope of the invention.
It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between. Other expressions that describe the relationship between components, such as "between" and "between" or "neighboring to" and "directly adjacent to" should be interpreted as well.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises ", or" having ", or the like, specify that there is a stated feature, number, step, operation, , Steps, operations, components, parts, or combinations thereof, as a matter of principle.
Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings showing embodiments of the present invention.
1 is a configuration diagram of a tidal flat experience
As shown in FIG. 1, the tidal-flat experience
2 is a detailed functional block diagram of the tidal-flat experience
2, the tidal-flat experience
The information of the numerical algae, ocean currents, and tide tables stored in the ocean survey data DB 110 includes data such as the flow rate of the ocean, orientations, ocean currents, or tides. In Korea, the numerical tidal current, ocean current, and tide chart may be the numerical tide of the National Oceanographic Research Institute, ocean currents in the East Sea, and tidal chart information of the domestic ocean.
The index basic information includes the tidal-flat experience available time, maximum wind speed, weather, and temperature information as data for deriving the tidal flat experience index. At this time, the weather information is classified into clear, cloudy, cloudy, cloudy, rain (over 60% of precipitation probability) according to the weather forecasting standard of Meteorological Agency.
The weights setting unit 120 sets weights in consideration of the influence of the index basic information on the tidal flats experience activity. For example, the weight may be given by performing an AHP analysis on the effect of exponential basic information on the tidal flats experience index. In the case of the present invention, in consideration of the influence on the tidal flats experience as an example of the weight setting, the possible tidal-flat experience time was set at 2.5, the weather was 0.8, the maximum wind speed was 0.5, and the air temperature was 0.2.
The current ocean observation information collected by the ocean observation information collection unit 130 is data for predicting the exponential basic information for deriving the tidal flat experience index and includes tidal forecast data including the currently observed tide, , Ocean currents), water temperature, wind velocity, wind direction, and atmospheric pressure, as well as observations from weather stations including weather, temperature, solar radiation, wind velocity, and wind direction.
The exponential basic information predicting unit 140 uses the ocean observation information collected in the ocean observation information collecting unit 130 and the sea water numerical prediction model ROMS, the weather prediction model WRF, and the wave prediction model 145 And generates index basic information for deriving the tidal flats experience index predicted by a predetermined time by predicting and generating by predetermined place and time.
To this end, the exponential basic information predicting unit 140 includes a seawater numerical value predicting unit 141 for predicting water temperature information at a predetermined time point using the present ocean observation information, A weather prediction unit 143 for predicting wind speed, temperature and weather information, and a wave predictor 145 for predicting a significant wave height using current ocean observation information. At this time, the seawater numerical value predicting unit 141 is configured to predict the water temperature after a predetermined time by applying the ocean observation information to a seawater numerical prediction model (ROMS). The meteorological prediction unit 143 is configured to predict the wind speed, the temperature and the weather after a predetermined time by applying the present ocean observation information to the weather prediction model WRF. The wave predictor 145 is configured to apply the ocean observation information to the wave prediction model WW3 to predict information such as significant wave height, direction, velocity, or water temperature after a predetermined time.
The tidal flat experience index derivation unit 160 uses the weight of the index basic information predicted by the index basic information predicting unit 140 and the index basic information extracted by the marine survey data extracting unit 150 to calculate the tidal flat experience index . Specifically, the tidal flat experience index derivation unit 160 calculates a maximum value and an average value of the predicted exponential basic information. And the wind speed is applied as the exponential basic information and the average value is applied as the exponential basic information.
Then, the tidal flats experience index derivation unit 160 derives the tidal flats experience index by dividing the basic index information by a score, multiplying the weights by the weights, and dividing the sum by the number of the index basic information. The tidal flats experience index
To be derived by, where, n S is the number of weights, k is the index information based on the scores, W n are each index based on information about each index based information.[Table 1] Score of index basic information
[Table 1] shows the score of the index basic information.
The score of the index basic information is 5 points for more than 2 hours of possible tidal-flat experience, 4 points for less than 1
Hereinafter, the process of the tidal flats experience index forecasting method by the tidal
3 is a flowchart showing the process of the tidal flats experience index forecasting method of the present invention.
As shown in FIG. 3, the tidal flats experience index prediction method of the present invention includes a weight setting process (S100) in which the weight setting unit 120 sets a weight for exponential basic information (S100) An ocean observation information collecting step (S200) for collecting ocean observation information as an initial value for predicting the exponential basic information after the set time, and an exponential information predicting unit (140) for collecting the collected ocean observational information and exponential basic information prediction models An exponential basic information prediction process S300 for predicting the exponential basic information including the weather, temperature and wind speed after a predetermined time, and the maximum value and the average value of the exponential basic information predicted by the tidal flat experience index deriving unit 160 Extracting the marine survey data from the marine survey data DB 110 by the marine survey data extracting unit 150 by the maximum value-average value calculating process S400, and (S500), a tidal flats experience index derivation process (S600) in which a score is given to the predicted and extracted index basic information, a sum of the scores is multiplied by a weighted value, .
After selecting the possible tidal-flat experience hours, weather, maximum wind speed, and temperature as index basic information for deriving the tidal flat experience index by the weight setting process (S100), the importance of the tidal flats experience index A weight is given according to the following equation. As described above, in the embodiment of the present invention, considering the influence on the tidal-flat experience, the weight of the index basic information is 2.5, the weather is 0.8, the maximum wind speed is 0.5, the air temperature is 0.2 Is set as described above.
The data for predicting the index basic information for deriving the tidal flat experience index by the ocean observation information gathering process (S200) includes the information about the current state including the tidal current, sea water flow (ocean current, bird), water temperature, wind speed, Observation information of the ocean observation network and weather information of the meteorological station including weather, temperature, insolation, wind velocity, and wind direction are collected from an external server such as a national ocean observation network server or a weather station server, respectively. The collected ocean observation information is used to predict the value of exponential information by a predetermined time interval in the future.
Using the ocean observation information collected in the ocean observation information collecting unit 130 and the sea water numerical prediction model ROMS, the weather prediction model WRF and the wave prediction model 145 by the exponential-based information prediction process S300, The index basic information for estimating the tidal flats experience index predicted by the predetermined time is predicted at predetermined time intervals. At this time, the seawater numerical value predicting unit 141 predicts the seawater flow and the water temperature after a predetermined time by applying the ocean observation information to the seawater numerical prediction model (ROMS), and the weather predicting unit 143 predicts the present ocean observation information And predicts the wind speed, temperature, and weather after a predetermined time by applying to the weather prediction model (WRF), and the wave predictor 145 applies the ocean observation information to the wave prediction model (WW3) Predict data such as waves. The flow rate, frankincense and ocean currents were predicted from oceanographic data such as numerical algae of the National Oceanographic Research Institute and the East Sea Current.
A maximum value of exponential basic information derived at a predetermined time interval during a predetermined time interval (e.g., 9:00 am to 12:00 pm or 12:00 pm to 6:00 pm) by the exponential basic information maximum value-average value calculating process (S400) Values and mean values are derived.
Next, in the marine survey data extraction process (S500), the marine survey data extraction unit 150 extracts the tidal-flat experience available time from the marine survey data DB 110 at the forecasted time of the forecasted area as exponential basic information .
The process of deriving the tidal flats experience index S600 is based on the assumption that the maximum value of the wind speed is used as the exponential information on the predicted values of the exponential information that are predicted and extracted in the exponential information prediction process S300 and the ocean survey data extraction process S500 And the average temperature is applied as exponential information. Then, the score of each selected index basic information is given, and then the score of the given index basic information is multiplied by the weight selected by the water temperature, and the sum is added to the number of the index basic information to derive the tidal flats experience index .
At this time, the tidal flats experience index derived is good 4.7 to less than 5 is very good, 4 to less than 4.7 is good, more than 3 to less than 4 is normal, less than 2 to less than 3 is poor, and more than 1 to less than 2 is very poor .
As described above, the derived tidal-flat experience index can be forecasted by broadcasting or text message transmission or provided to terminals of users connected to the tidal-flat
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 will be apparent to those skilled in the art that various modifications may be made without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.
1: Tidal flat experience index forecasting device
100: Tidal flats experience index forecasting department
Claims (10)
A weight setting unit for setting a weight for index basic information for deriving the tidal flats experience index;
An ocean observation information collection unit for collecting current ocean observation information as an initial value for predicting exponential information for deriving the tidal flat experience index;
An index basic information predicting unit for predicting index basic information for deriving the tidal flats experience index using the marine observation information;
A marine survey data extracting unit for extracting tidal-flat experience possible time information by using tide information of a place and time that desire a tidal-flat experience, which is one of index basic information, by using the marine survey data DB; And
The tidal flats experience index which is derived from the index basic information predicting section and derives the tidal flats experience index using the score of the index basic information corresponding to the index basic information extracted by the marine survey data extracting section and the weight of the index basic information And a tidal flats experience index prediction section including an index derivation section,
The tidal flats experience index derivation unit,
Wherein the maximum value and the average value of the predicted exponential basic information are calculated and then the maximum value is applied as the exponential basic information and the temperature is applied as the exponential basic information.
Includes tidal-flat experience hours, weather, maximum wind speed, and temperature information,
Wherein the weight for the exponential information is calculated by:
Considering the impact on the tidal-flat experience, the tidal-flat experience index is set at 2.5, the weather is 0.8, the maximum wind speed is 0.5, and the temperature is 0.2.
And a weather prediction unit for applying the ocean observation information to a weather forecasting model (WRF) to predict the temperature, wind speed and weather at a predetermined time point in an area including a specific tidal flat.
Tidal Flat Experience Index ( Rindex ) Wherein S n is a score for each index basic information, W n is a weight of each index basic information, and k is a number of index basic information.
An ocean observation information collection step (S200) for the ocean observation information collection unit (130) to collect ocean observation information as an initial value for predicting exponential basic information after a predetermined time;
The exponential basic information predicting unit 140 estimates exponential basic information including weather, wind speed and temperature after a predetermined time in an area including a specific tidal flat using the collected ocean observation information and exponential basic information prediction models Information prediction process (S300);
An exponential basic information maximum value-average value calculation step S400 of calculating the maximum value and the average value of the predicted exponential basic information predicted by the tidal flat experience index derivation unit 160;
A marine survey data extraction step (S500) in which the marine survey data extraction unit (150) extracts the tidal flat experience possible time information using the tide information at the forecast time of the tidal flats experience index forecasting area from the marine survey data DB (110); And
(S600) of deriving the tidal flats experience index by deriving the tidal flats experience index by multiplying the score of the index basic information by the weight, adding the result to the number of the index basic information, and deriving the tidal flats experience index (S600).
Wherein the maximum value and the average value of the exponential basic information are calculated, the maximum value of the wind speed is applied as exponential basic information, and the temperature is applied as an exponential basic information.
Where S n is a score for each index basic information, W n is a weight of each index basic information, and k is the number of exponential basic information.
Includes tidal-flat experience hours, weather, maximum wind speed, and temperature information,
Wherein the weight for the exponential information is calculated by:
Considering the impact on the tidal-flat experience, the tidal-flat experience index method is set at 2.5, the weather is 0.8, the maximum wind speed is 0.5, and the temperature is 0.2.
5 hours for more than 2 hours of tidal-flat experience, 4 points for less than 1 hour and more than 2 hours, 3 points for less than 1 hour to 1 hour and 30 minutes, 2 minutes for less than 1 hour and 30 minutes Is set to one point,
The weather is set at 5 points for cloudy, 4 points for cloudy, 3 points for cloudy, 2 points for cloudy, 1 point for rain (over 60% of precipitation probability)
The maximum wind speed is 5 points for less than 24m / s, 4 points for more than 2m / s to less than 5m / s, 3 points for more than 5m / s to less than 9m / s, 2 points for less than 9m / A value of 14 m / s or more is set to 1 point,
The temperature is set at 5 points above 24 ° C, 4 points below 21 ° C and below 24 ° C, 3 points below 18 ° C and below 21 ° C, 2 points below 16 ° C and below 18 ° C and 1 point below 16 ° C Forecasting method of tidal flat experience index.
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