KR20200103147A - The System and The Method for Estimating Water Temperature of Sea Using Big Data about Lacation and Measured Water Temperature - Google Patents

Abstract

The present invention relates to a new system and method of estimating a water temperature of the sea using big data about location and water temperature, which allow a reliable government agency to use a measuring apparatus for the water temperature of the sea where little changes are made in the marine information, to estimate and provide the water temperature information of other broader regions than the regions where an actual measurement is conducted by using the water temperature information of specific regions measured, to generate big data on the estimated water temperature information by using the actually measured water temperature information, the distance, or the latitude, and to use the generated location and water temperature big data so as to predict and provide the future information on the water temperature related to the specific data and time of the specific region required by a user. The system can provide information on predicted water temperature with respect to more regions to people who want to know the water temperature of the specific region in the marine environment and also provide information on the predicted water temperature value in accordance with changes in the water temperature in the future in the specific region, thereby conveniently predicting the water temperature of the sea and thus, removing the need to use expensive marine measurement equipment for predicting the water temperature of the sea so as to reduce the time and cost required. Moreover, the system can easily identify the fish and marine environmental elements currently present in the water regions of the related region for providing the predicted water temperature information, is useful for examining and analyzing changes in the water temperature in the past in accordance with changes in the environment such as global warming through big data of the accumulated sea water temperature information, and can provide important information for performing changes in the sea water temperature in the future required for people through a water temperature prediction using the big data.

Description

The System and The Method for Estimating Water Temperature of Sea Using Big Data about Lacation and Measured Water Temperature}

The present invention relates to a system and method for estimating sea water temperature using big data related to location and water temperature, and more particularly, using a measuring device from a trusted government agency for the water temperature of the sea, which is gradually changing among marine information. The measured water temperature information of specific regions is used to estimate and provide the water temperature information of other regions, which is larger than the region where the actual measurement is made, and big data on the water temperature information estimated using the measured water temperature information and distance or latitude. The ocean using big data related to the new location and water temperature that can predict and provide future information on the water temperature corresponding to a specific date and time in a specific area requested by the user using the generated location and water temperature big data It relates to a water temperature estimation system and method.

The water temperature of the sea does not change more easily than that of the land, so it is the basis for marine life to enjoy a more stable life than the land. However, the change in water temperature means that various changes such as the type of marine organisms and habitats occur.

Recently, changes in the global environment due to environmental pollution and global warming, especially on land, are rapidly changing, but in terms of the environment, small changes in the sea are emerging as a bigger problem. Problems caused by the rise in sea water temperature increase the likelihood of a strong typhoon occurring, and the ecosystem may be destroyed as temperature-sensitive marine organisms are affected.

Fixed organisms such as coral reefs show white dying on the spot because there is no way to avoid them when the water temperature rises, and cold water fishes move in search of cold areas when the water temperature rises, which has a profound effect on the fisheries industry. It's also crazy.

And as the water temperature increases, the solubility of the gas decreases, so the concentration of greenhouse gases in the atmosphere increases. In addition, since the heat storage capacity of the sea is a thousand times larger than that of the atmosphere, an increase in water temperature means a corresponding loss of heat storage capacity. In addition, the volume of water is the smallest at 4℃ and the volume increases as the water temperature rises, so the sea level rises as the water temperature rises. In particular, when the glaciers on the land melt, the sea level rise effect is doubled.

With respect to such sea water temperature, Korea is reporting weather, wave strength, direction, tide forecast, and sea water temperature by using a sea observation buoy installed on the sea by the National Oceanographic Research Institute. In addition, countries such as the United States and Japan are also conducting research on the world's oceans as well as their own.

In the case of an area surveyed by an organization such as the National Oceanographic Research Institute, sea water temperature in about 40 areas is measured due to the expensive sea observation buoy required for measurement in Korea. However, due to the recent increase in fishing population, there is a limit to providing information on the sea water temperature in more places despite the increasing demand for information on the sea due to the recent increase in fishing population. .

The real-time prediction of internal sea water temperature in Patent Document 1 uses the correlation between the average sea level deviation and the average annual deviation of the sea level, and predicts the average annual deviation of the sea level internal water temperature from the distribution of the average sea level average annual deviation. In the conventional satellite remote sensing method using infrared rays, the sea surface water temperature distribution method can know the water temperature distribution on the surface of the ocean, but the water temperature distribution inside the ocean is not known, but the present invention uses the data of the sea level satellite to 300m inside the ocean. It predicts the real-time water temperature up to the depth of the water and enables efficient deep-sea fishing through fishery prediction.

However, the real-time prediction of the water temperature inside the ocean increases the cost in that the sea level satellite is used to predict the change of the water temperature according to the water depth rather than the surface water temperature inside the ocean in a specific region. There is a problem that it takes a lot of time to acquire data.

The pre-arranged wave height and seafloor water temperature observation device of Patent Document 2 adopts a sensor that senses water pressure and water temperature respectively in the sensing module, and based on the information detected by each sensing module and the installation position of each sensing module, It is possible to analyze horizontal and spatial changes in wave height and seafloor water temperature.

However, the above line-array wave height and seafloor water temperature observation device is a device that measures and measures the water temperature and can save time and cost compared to the maritime observation buoy of the National Oceanographic Research Institute. Rather than measuring the sea water temperature, it is inappropriate to directly reflect the sea water temperature in the offshore sea.

Korean Patent Application Publication No. 10-2007-0089896 “Real-time ocean internal water temperature prediction” Republic of Korea Patent Publication Registration No. 10-1431120 "Linear array wave height and seabed water temperature observation device"

Therefore, in order to improve the problems of the prior art, the present invention allows the user to determine the water temperature based on big data about the actual measured water temperature of the sea and the location information such as latitude and longitude for the region. If it is the same as the region name measured by comparing it with the region name to be known, the actual measured water temperature of the region is presented. If not, the actual location of the nearest region is compared with the latitude and longitude of the region requested by the user and the location information of the measured region. The measured water temperature is estimated or the water temperature estimated in consideration of the change in water temperature according to the change in latitude is presented, and furthermore, the user can use the big data saved by generating and storing the measured water temperature and estimated water temperature by date and time for each region. The purpose of this study is to provide a system and method for estimating the water temperature of the sea using big data related to the new location and water temperature that can predict and provide information on the water temperature corresponding to a specific date and time in a specific region in the future.

According to a feature of the present invention for achieving the above object, the present invention provides an area input device 110 for receiving an area name for which the user wants to know the sea water temperature; A measured water temperature extraction device 120 for extracting the region name and the measured water temperature value from an institution that directly measures the sea water temperature for a specific region and provides the measured water temperature information; The area name received from the area input device 110 is compared with the area name extracted from the measured water temperature extraction device 120, and if the area name is the same, the extracted water temperature value of the corresponding area is transmitted to the output device 140, and the same area If not, a water temperature estimation device that compares the latitude and longitude of the input region with the latitude and longitude of the region extracted from the measured water temperature extraction device 120, estimates the water temperature value of the nearest region, and transmits it to the output device 140 (130); And an output device 140 for outputting the date and time to the user together with the water temperature value transmitted through the water temperature estimation device 130 and the area name input through the area input device 110. It is a solution to the problem to provide a system for estimating the water temperature of the sea using the characteristic location and water temperature-related big data.

The water temperature estimating device 130 of the sea water temperature estimation system using big data related to the location and water temperature according to the present invention is a region name of a region having all region names on the sea that can be displayed by the water temperature estimation system 100 , Location storage DB 131 for storing latitude and longitude information; After comparing the area name of the area received from the measured water temperature extraction device 120 with the area name of the location storage DB 131 and checking the latitude and longitude of the area, along with the confirmed area name, the latitude, longitude and Measurement area storage DB 132 for storing the measured water temperature; An area comparison module 133 that compares the area name received from the area input device 110 with the area name extracted from the measured water temperature extraction device 120 and transmits the extracted water temperature value of the corresponding area to the output device 140 when they are the same. ); A location check module 134 for checking information on latitude and longitude by comparing the area name of the inputted area with the area name of the location storage DB 131 when the area name is not the same through the area comparison module 133; And a water temperature for comparing the latitude and longitude checked from the positioning module 134 with the latitude and longitude of each region stored in the measured region storage DB 132 and transmitting the water temperature value of the nearest region to the output device 140 It consists of a configuration including; estimation module 135.

The water temperature estimation module 135 of the system for estimating the water temperature of the sea using big data related to the location and water temperature according to the present invention includes the latitude and longitude checked from the location identification module 134 and the measured area storage DB 132 ) By comparing the latitude and longitude of each region stored in ), if the latitude is higher than the measured region, the water temperature is lowered by a certain width in proportion to the change in latitude, and if the latitude is low, the water temperature is increased by a certain width in proportion to the change in latitude. It is characterized in that the estimated water temperature value is generated and transmitted to the output device 140.

The water temperature estimation device 130 of the sea water temperature estimation system using big data related to the location and water temperature according to the present invention includes a region name, latitude, longitude, and measured water temperature stored from the measured region storage DB 132 and the water temperature. A water temperature DB 136 for generating and storing big data on the water temperature by using the region name, latitude, longitude, and newly estimated water temperature values input from the estimation module 135 as a unit of a certain time per day; And predicting the water temperature for that region of the date and time input from the region input device 110 using the average of the water temperature big data by the same date and time during the year accumulated for each region stored in the water temperature DB 136 The water temperature prediction module 137 that is transmitted to the output device 140;

The water temperature prediction module 137 of the system for estimating the water temperature of the sea using big data related to the location and water temperature according to the present invention includes the same date and time water temperature during the year accumulated for each region stored in the water temperature DB 136 It is characterized in that the water temperature for the region of the date and time input from the region input device 110 is predicted and transmitted to the output device 140 using the slope of the graph generated as big data of.

In addition, the present invention is a region input step (S110) of receiving a region name from the user to know the sea water temperature through the region input device 110; A measured water temperature extraction step (S120) of extracting a region name and a measured water temperature value of a region provided by the institution using the measured water temperature extraction device 120 from an institution that provides the actual measured water temperature information of the sea water temperature; Using the water temperature estimation device 130, the area name input in the area input step (S110) is compared with the area name extracted in the measured water temperature extraction step (S120), and if the area name is the same, the water temperature value of the area is output. Transfer to step (S150), and compare whether the area name input in the area input step (S110) is the same as the area name extracted in the measured water temperature extraction step (S120), and if not the same area name, the water temperature estimation step (S140) Transmitting area comparison step (S130); When the area name input by the user in the area comparison step (S130) using the water temperature estimation device 130 is not the same as the area name extracted in the measured water temperature extraction step (S120), the latitude and longitude of the area entered by the user and the above A water temperature estimation step (S140) of comparing the location big data including the latitude and longitude of the region extracted from the measured water temperature extraction device 120, estimating the water temperature value of the nearby region, and transmitting it to the output step (S150); And an output step (S150) of outputting the measured water temperature transmitted in the region comparison step (S130) or the estimated water temperature transmitted from the water temperature estimation step (S140) together with the region name using the output device 140; Another solution to the problem is to provide a method of estimating the water temperature of the sea using big data on the location and water temperature, characterized in that consisting of.

In addition, the present invention stores the area name, latitude, longitude, and measured water temperature stored from the measured area storage DB 132 and the area name, latitude, longitude, and newly estimated water temperature values input from the water temperature estimation module 135 at a constant time by date. A regional water temperature storage step (S210) of generating big data on the water temperature as a unit and storing it in the water temperature DB (136); A region and date input step (S220) of directly inputting the region name, date, and time or by presenting a selection button to input the region name, date, and time using the region input device 110; In the regional water temperature storage step (S210), the date and time input from the regional input device 110 by using the average of the water temperature big data by the same date and time during the year accumulated for each region stored in the water temperature DB 136 A water temperature prediction step (S230) of transmitting the water temperature and information of the region predicted through the water temperature prediction module 137 using the water temperature for that region of the output step (S240); And an output step (S240) of outputting the water temperature value and area name information predicted in the water temperature prediction step (S230) to the user using the output device 140; at a location and water temperature comprising: Another solution to the problem is to provide a method for estimating the water temperature of the sea using Korean big data.

According to the system and method for estimating water temperature of the sea using big data related to location and water temperature according to the present invention, interest in offshore fisheries resources has recently increased, and in particular, due to the increase of people who prefer fishing in the offshore, in the marine environment. It is possible to easily predict the water temperature of the sea by providing information on the predicted water temperature for more regions to those who want to know the water temperature in a specific region, and by providing information on the predicted water temperature value according to future water temperature changes in a specific region. Therefore, it is not necessary to use expensive marine observation equipment to predict the water temperature of the sea, so it is possible to save time and cost expenditures, and provide information on the predicted water temperature. Marine environmental factors can be easily grasped, and it is useful for investigating and analyzing changes in the past water temperature due to environmental changes such as global warming through big data of the accumulated sea water temperature, and further predicting water temperature using big data. It has the effect of providing important information for people to implement changes in ocean temperature in the future.

1 is a block diagram of a system for estimating sea water temperature using big data related to location and water temperature according to an embodiment of the present invention;
2 is an exemplary view of an area input device of the system for estimating the water temperature of the sea using big data related to location and water temperature according to an embodiment of the present invention;
3 is a block diagram of a water temperature estimation apparatus of a water temperature estimation system of the sea using big data related to location and water temperature according to an embodiment of the present invention;
4 is a distribution diagram of water temperature by latitude according to an embodiment of the present invention;
5 is a block diagram of a water temperature estimation apparatus of a water temperature estimation system of the sea using big data related to location and water temperature according to another embodiment of the present invention;
6 is an exemplary view of an output device of a system for estimating water temperature of the sea using big data related to water temperature and water temperature according to an embodiment of the present invention;
7 is an exemplary view of an output device of a system for estimating sea water temperature using big data related to location and water temperature according to another embodiment of the present invention;
8 is a flow chart of a method for estimating sea water temperature using big data related to location and water temperature according to an embodiment of the present invention;
9 is a flowchart of a system for estimating sea water temperature using big data related to location and water temperature according to another embodiment of the present invention.
10 is a graph showing water temperature measurement data off the coast of Busan applied to a system for estimating the water temperature of the sea using big data related to location and water temperature according to another embodiment of the present invention.

In order to fully understand the present invention, a preferred embodiment of the present invention will be described in detail with reference to FIGS. 1 to 10 of 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 embodiments described in detail below. Accordingly, the shape of the element in the drawings may be exaggerated to emphasize a clearer description. It should be noted that in each drawing, the same member may be indicated by the same reference numeral. On the other hand, in the drawings and detailed description, the illustrations and references for configurations and actions that can be easily understood by those in this field, such as location information, input module, output module, and water temperature, have been simplified or omitted. In particular, in the illustration and detailed description of the drawings, a detailed description and illustration of a specific technical configuration and operation of elements not directly related to the technical features of the present invention are omitted, and only the technical configuration related to the present invention is briefly shown or Explained.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings.

1 is a block diagram of a system for estimating sea water temperature using big data related to location and water temperature according to an embodiment of the present invention.

As shown in FIG. 1, the water temperature estimation system 100 includes a local input device 110, a measured water temperature extraction device 120, a water temperature estimation device 130, and an output device 140.

2 is an exemplary diagram of an area input device of a system for estimating sea water temperature using big data related to location and water temperature according to an embodiment of the present invention.

The region input device 110 is a device that receives a region name for which the user wants to know the sea water temperature. The region input device 110 directly inputs a name of a region indicating a specific region of the sea such as a name of a coast, an island name, a port, a port, etc., or, as shown in FIG. 2, in order to prevent errors due to direct input. It is input by allowing the user to select the area name being used.

The measured water temperature extraction device 120 extracts the region name and the measured water temperature value of the region from an organization that directly measures the sea water temperature for a specific region and provides information on the measured water temperature. The measured water temperature extraction device 120 measures the state of the sea in a national maritime-related institution using a buoy attached with a measuring device such as a thermometer, and extracts the name of the region and the measured water temperature value from the publicly available data.

3 is a block diagram of a water temperature estimation apparatus of a system for estimating a water temperature of the sea using big data related to location and water temperature according to an embodiment of the present invention.

As shown in FIG. 3, the water temperature estimation device 130 includes a location storage DB 131, a measurement area storage DB 132, an area comparison module 133, a location confirmation module 134, and a water temperature estimation module 135. It consists of a configuration that includes. The water temperature estimation device 130 compares the area name received from the area input device 110 with the area name extracted from the measured water temperature extraction device 120, and if the area name is the same, the extracted water temperature value of the corresponding area is output device 140 ).

If the area name received from the area input device 110 and the area name extracted from the measured water temperature extraction device 120 are not the same, the water temperature estimating device 130 is the latitude and longitude of the input area and the measured water temperature extraction device 120 The latitude and longitude of the region extracted from are compared, estimated as the water temperature value of the nearest region, and transmitted to the output device 140.

The location storage DB 131 in the water temperature estimating device 130 stores area names, latitude and longitude information of all regions on the sea that can be displayed by the water temperature estimation system 100 of the sea. The location storage DB 131 stores the latitude and longitude of the regions that want to indicate the water temperature through the sea water temperature estimation system 100 using the latitude and longitude, which is a method of accurately indicating a location on the earth, together with the name of the region. Provide local location information. The location storage DB 131 may be extracted from information from an organization indicating the latitude and longitude of the region, but the latitude and longitude of each region can be determined using a recently widely used Global Navigation Satellite System (GNSS). It can be measured and stored.

The measured area storage DB 132 compares the area name of the area received from the measured water temperature extraction device 120 with the area name of the location storage DB 131 and checks the latitude and longitude of the corresponding area, and then the confirmed area name and Together, it stores the local latitude, longitude and measured water temperature.

The area comparison module 133 compares the area name received from the area input device 110 with the area name extracted from the measured water temperature extraction device 120, and transmits the received area name information to the water temperature estimation module 135 when they are the same. Then, the extracted water temperature value of the corresponding region is transmitted to the output device 140.

In addition, the area comparison module 133 compares the area name received from the area input device 110 with the area name extracted from the measured water temperature extraction device 120, and, if not the same area name, the received area name information is a location identification module ( 134).

The location identification module 134 compares the area name of the area transmitted from the area comparison module 133 with the area name of the location storage DB 131 when the area name is not the same through the area comparison module 133, Check information on hardness.

The water temperature estimation module 135 compares the location big data including the latitude and longitude checked from the location confirmation module 134 and the latitude and longitude of each region stored in the measurement region storage DB 132 to the nearest region. The water temperature value is transmitted to the output device 140.

For reference, the water temperature of the sea is determined by the difference between the heat radiation absorbed from the sun and the heat radiation from the sea to the air. The difference occurs due to heat inflow due to solidification and fourth heat transfer due to the motion of seawater. Therefore, the first factor, heat radiation from the sun, has the greatest change in water temperature depending on latitude.

4 is a distribution diagram of water temperature by latitude according to an embodiment of the present invention.

As shown in FIG. 4, the water temperature at the equator with a latitude of 0 degrees is the highest, and the water temperature in the North Pole or the South Pole with a latitude of 90 degrees is the lowest. Therefore, the water temperature estimation module 135 compares the latitude and longitude checked from the positioning module 134 with the latitude and longitude of each region stored in the measured region storage DB 132, and if the latitude is higher than the measured region, The water temperature is lowered by a certain width in proportion to the change amount of, and when the latitude is low, an estimated water temperature value obtained by raising the water temperature by a certain width in proportion to the change amount of latitude is generated and transmitted to the output device 140.

For example, if the latitude increases by 1 minute, the water temperature rises by 0.02℃. If the region entered by the user is 37 degrees, 24 minutes and 30 seconds, compared to the region where the measured temperature is 37 degrees, 14 minutes and 28 seconds, 10 in the latitude. Since there is a difference in minutes, the water temperature is estimated as the water temperature decreased by 0.02×10 = 0.2°C, and the water temperature value decreased by 0.2°C from the actual temperature is estimated and transmitted to the output device 140.

However, the width of the water temperature, which changes in proportion to the amount of change by latitude, varies according to the direction of the ocean current or the movement of the seawater depending on the extent of the region, even at the same latitude. However, since the offshore sea shows a larger difference than the original sea, it is necessary to correct the change in water temperature according to the increase in latitude reflecting this according to the region.

5 is a block diagram of a water temperature estimating device of a system for estimating water temperature of the sea using big data related to location and water temperature according to another embodiment of the present invention.

As shown in FIG. 5, the water temperature estimation device 130 is configured to further include a water temperature DB 136 and a water temperature prediction module 137.

The region input device 110 according to another embodiment of the present invention receives a region name for which sea water temperature is to be known from a user and information on a specific date and time in the future. The region input device 110 may directly input the region name, date and time, or present a selection button to receive the region name, date, and time.

The water temperature DB 136 includes the area name, latitude, longitude, and measured water temperature stored from the measured area storage DB 132 and the area name, latitude, longitude and newly estimated water temperature input from the water temperature estimation module 135. Big data about water temperature is created and stored in a fixed time unit for each.

The water temperature prediction module 137 uses the average of the water temperature big data by the same date and time during the year accumulated for each region stored in the water temperature DB 136 to determine the date and time input from the region input device 110. The water temperature for the region is predicted and transmitted to the output device 140.

The water temperature prediction module 137 inputs from the region input device 110 using the slope of the graph generated as big data of the water temperature by the same date and time during the year accumulated for each region stored in the water temperature DB 136 The water temperature of the region at the received date and time is predicted and transmitted to the output device 140.

As a specific example for predicting the water temperature using the slope of the graph generated by the big data of water temperature, describe in [Table 1] below when predicting the water temperature at 3 pm on September 19, 2018 in the offshore of Busan. As shown in the contents and [Fig. 10], if observation was started from 2011, from the water temperature big data at the same time (3 p.m.) on the same date (September 19) at a specific point measuring the water temperature off the coast of Busan. After calculating the slope for each year, the average of the calculated slopes is calculated to be 0.006131. And since the slope is an upward curve, if this slope average is multiplied by last year's temperature of 25.0℃ and added to 25.0℃, it becomes 25.1539℃, and the water temperature at 3pm on September 19, 2018 can be predicted and presented as 25.1539℃.

10 is a graph showing water temperature measurement data off the coast of Busan applied to a system for estimating the water temperature of the sea using big data related to location and water temperature according to another embodiment of the present invention.

In addition, although it is appropriate to present through the average of the overall slope, it is also possible to predict and present the water temperature as 25.20161℃ or 25.2℃ as 25+(25×0.008065)=25.20161 using the slope of the previous year, 0.008065.

year In 2011 2012 In 2013 year 2014 2015 2016 Year 2017 Water temperature(℃) 24.1 24.2 24.3 24.5 24.7 24.8 25.0 inclination 0.004149 0.004132 0.00823 0.008163 0.004049 0.008065

6 is an exemplary diagram of an output device of a system for estimating water temperature in the sea using big data related to a water temperature location and water temperature according to an embodiment of the present invention.

As shown in FIG. 6, the output device 140 outputs the water temperature value transmitted through the water temperature estimating device 130 and the date and time to the user together with the area name input through the area input device 110. . The output device 140 may output current date and time information together even when the water temperature estimating device 130 indicates the current water temperature for a specific region.

In addition, in the case of the water temperature value estimated through the water temperature estimation device 130, the output device 140 presents information on the originally measured area, and includes distance information from the measured area to an area of interest to the user. It is displayed so that the user can refer to it. In the case of indicating the water temperature at a specific date and time in the future from the user, the date and time information are also output.

7 is an exemplary diagram of an output device of a system for estimating sea water temperature using big data related to location and water temperature according to another embodiment of the present invention.

As shown in FIG. 7, in displaying the water temperature in a specific region, the output device 140 reflects the characteristics of the water temperature that gradually changes according to the change of time, and changes the water temperature on a specific date in a specific time unit. It can also be indicated. Due to the characteristic that the water temperature of the sea does not change significantly, the output device 140 may output the change of the water temperature in the form of a graph. A user may easily predict a change in water temperature through a graph displayed on the output device 140.

8 is a flow chart of a method for estimating sea water temperature using big data related to location and water temperature according to an embodiment of the present invention.

As shown in Figure 8, the sea water temperature estimation method includes a region name input step (S110), a measured water temperature extraction step (S120), a region comparison step (S130), a water temperature estimation step (S140) and an output step (S150). It consists of a configuration that includes.

The region input step S110 is a step of receiving a region name for which the user wants to know the sea water temperature through the region input device 110. In the area input step, the user may input the name of a specific area, such as the name of the coast or the name of the island, but may select the proposed area to prevent errors in name input.

The measured water temperature extraction step (S120) is a step of extracting the region name and the measured water temperature value of the region provided by the institution using the measured water temperature extraction device 120 from the institution providing the actual water temperature information measuring the water temperature of the sea. In the case of Korea, the actual water temperature at about 40 coasts is measured and posted to the institution. In order to utilize this information, the actual measured water temperature extraction step (S120) extracts a region name and a water temperature value from information provided by marine related organizations.

The area comparison step (S130) is a step of comparing whether the area name input in the area input step (S110) is the same as the area name extracted in the measured water temperature extraction step (S120). In the region comparison step (S130), if the region name input by the user has the same region name among the region names extracted in the measured water temperature extraction step (S120), the extracted water temperature value of the region is transmitted to the output step (S150), and the region The area name input in the input step (S110) is compared with the area name extracted in the measured water temperature extraction step (S120), and if not the same area name, it is transmitted to the water temperature estimation step (S140).

In the water temperature estimation step (S140), if the area name input by the user in the area comparison step (S130) using the water temperature estimation device 130 is not the same as the area name extracted in the measured water temperature extraction step (S120), the user inputs It is compared with the location big data including the latitude and longitude of the region and the latitude and longitude of the region extracted from the measured water temperature extraction device 120, estimates the water temperature value of the nearest region, and transmits it to the output step (S150).

In the water temperature estimation step (S140) of the method for estimating the water temperature of the sea according to another embodiment of the present invention, the area name input by the user in the area comparison step (S130) is not the same as the area name extracted in the measured water temperature extraction step (S120). , After comparing the latitude of the region extracted from the measured water temperature extraction device 120, the latitude of the region entered by the user, and if the latitude is higher than the measured region, the water temperature is lowered to a certain width in proportion to the amount of change in latitude, and the latitude is If it is low, the estimated water temperature value is generated by increasing the water temperature by a certain width in proportion to the amount of change in latitude, and transmitted to the output step S150 of outputting together with the region name using the output device 140.

The output step (S150) outputs the measured water temperature transmitted in the region comparison step (S130) or the estimated water temperature transmitted in the water temperature estimation step (S140) together with the region name.

9 is a flowchart of a system for estimating sea water temperature using big data related to location and water temperature according to another embodiment of the present invention.

As shown in Figure 9, the sea water temperature prediction method is a method of estimating the water temperature for a specific date in the future, and includes a regional water temperature storage step (S210), a regional date input step (S220), and a water temperature prediction step (S230). It consists of a configuration that includes.

In the regional water temperature storage step (S210), the region name, latitude, longitude, and measured water temperature stored from the measured region storage DB 132 and the region name, latitude, longitude, and newly estimated water temperature values input from the water temperature estimation module 135 are dated. It is a step of generating big data on the water temperature in a fixed time unit for each and storing it in the water temperature DB 136.

In the region and date input step (S220), the region name, date, and time are directly input or a selection button is presented to input the region name, date, and time using the region input device 110. In the region date input step S220, the region name, date, and time may be directly input through the region input device 110, or a region name, date and time may be input by presenting a selection button.

The water temperature prediction step (S230) uses the average of the water temperature big data by the same date and time during the year accumulated in the water temperature DB 136 stored in the water temperature DB 136 in the regional water temperature storage step (S210). This is a step of transmitting the information of the water temperature and the region predicted through the water temperature prediction module 137 to the output step S240 using the water temperature for the region at the date and time received from ).

In this way, in the water temperature prediction step (S230), the slope of the graph generated by big data of the water temperature by the same date and time during the year accumulated for each region stored in the water temperature DB 136 in the regional water temperature storage step (S210) The water temperature for the region of the date and time input from the region input device 110 is predicted and transmitted to the output step S240.

The output step (S240) outputs the water temperature value and area name information predicted in the water temperature prediction step (S230) to the user using the output device (140). In the output step S240, in order to provide more accurate information to the user, the area name, date, and time may be output by using the output device 140 in addition to the water temperature value. In addition, the output step (S240) may be output to the user to easily check the change of the water temperature by presenting the water temperature value in the form of a graph at regular time intervals based on the date.

As described above, the system and method for estimating the water temperature of the sea using big data related to location and water temperature according to an embodiment of the present invention have been illustrated according to the above description and drawings, but this is only described as an example. It will be well understood by those of ordinary skill in the art that various changes and changes are possible within the scope without departing from the technical idea.

100: water temperature estimation system 110: area input device
120: water temperature extraction device 130: water temperature estimation device
131: location storage DB 132: measurement area storage DB
133: area comparison module 134: location confirmation module
135: water temperature estimation module 136: water temperature DB
137: water temperature prediction module 140: output device

Claims (7)

An area input device 110 for receiving an area name for which the user wants to know the sea water temperature;
A measured water temperature extraction device 120 for extracting the region name and the measured water temperature value from an institution that directly measures the sea water temperature for a specific region and provides the measured water temperature information;
The area name received from the area input device 110 is compared with the area name extracted from the measured water temperature extraction device 120, and if the area name is the same, the extracted water temperature value of the corresponding area is transmitted to the output device 140, and the same area If not, a water temperature estimation device that compares the latitude and longitude of the input region with the latitude and longitude of the region extracted from the measured water temperature extraction device 120, estimates the water temperature value of the nearest region, and transmits it to the output device 140 (130); And
And an output device 140 for outputting a date and time to a user together with a water temperature value transmitted through the water temperature estimation device 130 and a region name input through the region input device 110. Sea water temperature estimation system using big data related to location and water temperature. The method of claim 1,
The water temperature estimation device 130,
Location storage DB (131) for storing area name, latitude, and longitude information of all areas on the sea that can be displayed by the sea water temperature estimation system 100;
After comparing the area name of the area received from the measured water temperature extraction device 120 with the area name of the location storage DB 131 and checking the latitude and longitude of the area, along with the confirmed area name, the latitude, longitude and Measurement area storage DB 132 for storing the measured water temperature;
An area comparison module 133 that compares the area name received from the area input device 110 with the area name extracted from the measured water temperature extraction device 120 and transmits the extracted water temperature value of the corresponding area to the output device 140 when they are the same. );
A location check module 134 for checking information on latitude and longitude by comparing the area name of the inputted area with the area name of the location storage DB 131 when the area name is not the same through the area comparison module 133; And
Water temperature estimation for comparing the latitude and longitude checked from the location checking module 134 with the latitude and longitude of each region stored in the measured region storage DB 132 and transmitting the water temperature value of the nearest region to the output device 140 A system for estimating water temperature of the sea using big data related to location and water temperature, characterized in that consisting of a configuration including a module 135. The method of claim 2,
The water temperature estimation module 135,
Compare the latitude and longitude checked by the positioning module 134 with the latitude and longitude of each region stored in the measured region storage DB 132, and if the latitude is higher than the measured region, a constant width in proportion to the change in latitude When the water temperature is lowered and the latitude is low, an estimated water temperature value that increases the water temperature by a certain width in proportion to the amount of change in latitude is generated and transmitted to the output device 140. Water temperature estimation system. The method of claim 3,
The water temperature estimation device 130,
The area name, latitude, longitude, and measured water temperature stored from the measured area storage DB 132, and the area name, latitude, longitude, and newly estimated water temperature input from the water temperature estimation module 135 are measured in a fixed time unit for each date. A water temperature DB 136 that generates and stores big data on water temperature; And
By using the average of the water temperature big data by the same date and time during the year accumulated for each region stored in the water temperature DB 136, the water temperature for that region of the date and time input from the region input device 110 is predicted. A water temperature estimation system using big data related to location and water temperature, characterized in that the configuration further comprises: a water temperature prediction module 137 transmitted to the output device 140. The method of claim 4,
The water temperature prediction module 137,
Using the slope of the graph generated by big data of the water temperature by the same date and time during the year accumulated for each region stored in the water temperature DB (136), the region of the date and time input from the region input device 110 A system for estimating the water temperature of the sea using big data on the location and water temperature, characterized in that the water temperature is predicted and transmitted to the output device 140. An area input step (S110) of receiving an area name for which the user wants to know the sea water temperature through the area input device 110;
A measured water temperature extraction step (S120) of extracting a region name and a measured water temperature value of a region provided by the institution using the measured water temperature extraction device 120 from an institution that provides the actual measured water temperature information of the sea water temperature;
Using the water temperature estimation device 130, the area name input in the area input step (S110) is compared with the area name extracted in the measured water temperature extraction step (S120), and if the area name is the same, the water temperature value of the area is output. Transfer to step (S150), and compare whether the area name input in the area input step (S110) is the same as the area name extracted in the measured water temperature extraction step (S120), and if not the same area name, the water temperature estimation step (S140) Transmitting area comparison step (S130);
When the area name input by the user in the area comparison step (S130) using the water temperature estimation device 130 is not the same as the area name extracted in the measured water temperature extraction step (S120), the latitude and longitude of the area entered by the user and the above A water temperature estimation step (S140) of comparing the location big data including the latitude and longitude of the region extracted from the measured water temperature extraction device 120, estimating the water temperature value of the nearby region, and transmitting it to the output step (S150); And
An output step (S150) of outputting the measured water temperature transmitted in the region comparison step (S130) or the estimated water temperature transmitted from the water temperature estimation step (S140) together with the region name using the output device 140 (S150); A method for estimating the water temperature of the sea using big data on the location and water temperature, characterized in that made. The area name, latitude, longitude, and measured water temperature stored from the measured area storage DB 132 and the area name, latitude, longitude and newly estimated water temperature values input from the water temperature estimation module 135 are used as a unit of a certain time per day. Regional water temperature storage step (S210) of generating big data for and storing it in the water temperature DB (136);
A region and date input step (S220) of directly inputting the region name, date, and time or by presenting a selection button to input the region name, date, and time using the region input device 110;
In the regional water temperature storage step (S210), the date and time input from the regional input device 110 by using the average of the water temperature big data by the same date and time during the year accumulated for each region stored in the water temperature DB 136 A water temperature prediction step (S230) of transmitting the water temperature and information of the region predicted through the water temperature prediction module 137 using the water temperature for that region of the output step (S240); And
An output step (S240) of outputting the water temperature value and area name information predicted in the water temperature prediction step (S230) to the user using the output device 140; and a configuration including: A method of estimating the water temperature of the sea using big data.

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