JP6570031B2 - Fishing ground prediction device, fishing ground prediction system, marine environment data sharing device and marine environment data sharing system - Google Patents

Description

  The present invention provides a fishing ground prediction that predicts a fishing ground from observation data that is marine environment data such as catch and water temperature observed by a user and shared observation data that is shared based on shared information set for each user. Relates to the device.

  Conventionally, in order for fishers to perform efficient fisheries, fishing ground prediction has been performed, such as describing on a map a place where there is a high possibility that a fishing target exists. Conventional fishing ground predictions need to be made independently based on marine environmental data observed by satellites such as water temperature, know-how based on each fisherman's many years of experience, and individually accumulated fishing data. It was.

  In order to cope with such a problem, a fishery database predicting apparatus that sets up a fishery database that quantifies and records know-how and fishery data and refers to the fishery database at the time of fishery prediction is disclosed in Patent Document 1. .

JP 2006-158239 A

  However, in order to fear the random disclosure of information, know-how and fishery data based on fishermen's experiences tend to be kept secret. The invention described in Patent Document 1 does not have a sharing rule such as fishing data or a mechanism for restricting access. For this reason, there is a problem that the fishery database may not be used for prediction of the fishing ground because there is a fear of data leakage and the fishing data is not stored in the fishing database.

  Furthermore, the invention described in Patent Document 1 uses past data, external sea state prediction data, and the like for data used for fishing ground prediction. For this reason, the ocean environment that fluctuates greatly at various time scales such as daily, seasonal, or year-by-year cannot be expressed sufficiently by past data alone, and the marine environment at the time of operation cannot be accurately grasped and the fishing ground prediction accuracy does not increase. there were.

  In view of the above circumstances, the present invention is based on observation data that is marine environment data such as catch and water temperature observed by a user, and shared observation data that is shared based on shared information set for each user. It aims at obtaining the fishing ground prediction apparatus which performs prediction.

(Configuration 1)
An observation data acquisition unit for acquiring observation data, which is marine environment data observed by a user;
An observation data DB for storing the observation data;
A user information DB in which user information is stored;
A shared information DB in which shared information is stored, which is setting information on whether to share the observation data for each user;
A fishing ground prediction request acquisition unit that acquires a fishing ground prediction request that is a signal for requesting a fishing ground prediction;
A fishing ground prediction unit that predicts a fishing ground from the shared observation data shared based on the user information and the shared information about the user for the user who has obtained the fishing ground prediction request,
A fishing ground prediction apparatus comprising:
(Configuration 2)
The fishing ground prediction apparatus
An external data acquisition unit that acquires external data that is marine environment data possessed by an external DB;
An external data DB for storing the external data;
The fishing ground prediction apparatus according to Configuration 1, wherein the fishing ground prediction unit predicts a fishing ground using the external data.
(Configuration 3)
The fishing ground prediction apparatus
The fishing ground prediction apparatus according to Configuration 1 or 2, further comprising a public information DB that stores public information data, which is information in which whether or not to disclose to other users is set for each observation data item of each user.
(Configuration 4)
The fishing ground prediction unit
The SI value, which is a numerical value for each environmental variable, shows how easily the fishing target is inhabited from the environmental variables, which are the variables that represent the past catch and the state of the sea area by numerical values. The value of
By integrating the SI value, the fishing ground is predicted using the HSI value obtained by quantifying how suitable the sea area is for the fishing target, that is, the Habitat Suitability Index value. The fishing ground prediction apparatus according to any one of 1 to 3.
(Configuration 5)
The said fishing ground prediction part is further equipped with the prediction formula update part which compares the actual catch amount of the said fishing target, and the said SI value in the prediction of the said fishing ground, and updates the said prediction result based on a comparison result 4 The fishing ground prediction apparatus described in 1.
(Configuration 6)
The observation data may be any one or a combination of latitude and longitude information, fish detection information, catch, chlorophyll, seawater temperature, salinity, flow velocity, mixed layer depth, sea level altitude and sea level altitude gradient for each catch target. The fishing ground prediction apparatus according to any one of configurations 1 to 5.
(Configuration 7)
Including any one of the fishing ground prediction apparatuses according to configurations 1 to 6 and a user terminal;
The user terminal is
A transmission unit for transmitting the observation data to the fishing ground prediction device;
A prediction result acquisition unit for acquiring a prediction result output from the fishing ground prediction unit;
A fishing ground prediction map display unit for displaying to the user a fishing ground prediction map describing the prediction results;
A fishing ground prediction system comprising:
(Configuration 8)
An observation data acquisition unit for acquiring observation data, which is marine environment data observed by a user;
An observation data DB for storing the observation data;
A user information DB in which user information is stored;
A shared information DB in which shared information is stored, which is setting information on whether to share the observation data for each user;
A data sharing request acquisition unit for acquiring a data sharing request, which is a signal for requesting output of shared observation data;
A shared observation data output unit that outputs shared observation data shared based on the user information and the shared information related to the user for the user who has obtained the data sharing request;
A marine environment data sharing device.
(Configuration 9)
A marine environment data sharing device according to Configuration 8 and a user terminal;
The user terminal is
A transmission unit for transmitting the observation data to the marine environment data sharing device;
A shared observation data acquisition unit for acquiring shared observation data output from the shared observation data output unit;
A marine environment map display unit displaying a marine environment map describing the shared observation data to the user;
Marine environment data sharing system characterized by comprising:

  According to the present invention, fishing ground prediction is performed from observation data that is marine environment data such as catch and water temperature observed by a user, and shared observation data that is data shared based on shared information set for each user. There is an effect that it is possible to obtain a fishing ground prediction apparatus that performs the above.

It is a block diagram which shows the fishing ground prediction system in Embodiment 1 of this invention. It is the flowchart which showed schematic operation | movement at the time of registering user information, shared information, and public information in Embodiment 1 of this invention. It is the flowchart which showed schematic operation | movement about the fishing ground prediction in Embodiment 1 of this invention, and the display of a prediction result. It is a screen display example of the user terminal 200 at the time of user information registration in Embodiment 1 of this invention. It is a screen display example of the user terminal 200 at the time of public information registration in Embodiment 1 of this invention. The example of a screen display during the display of the fishing ground prediction result in Embodiment 1 of this invention is shown. It is a block diagram which shows the marine environment data sharing system in Embodiment 2 of this invention. It is the flowchart which showed schematic operation | movement about the sharing of observation data and the display of the shared observation data in Embodiment 2 of this invention.

Embodiment 1
Hereinafter, the fishing ground prediction system according to Embodiment 1 of the present invention will be described with reference to the drawings.

<Function and configuration>
FIG. 1 is a block diagram showing a configuration of a fishing ground prediction system 10 according to Embodiment 1 of the present invention.
The fishing ground prediction system 10 includes a fishing ground prediction device 100 and a user terminal 200, and is shared based on observation data such as catch and water temperature observed by the user and shared information set for each user. This system predicts fishing grounds from data.
The fishing ground prediction apparatus 100 and the user terminal 200 are connected via a satellite communication, a network such as a LAN or the Internet.
The user terminal 200 is assumed to be installed on a fishing boat that operates.

  The fishing ground prediction apparatus 100 includes an observation data acquisition unit 110, an observation data DB 111, a user information DB 120, a shared information DB 130, a fishing ground prediction request acquisition unit 140, a fishing ground prediction unit 141, a prediction formula update unit 142, an external data acquisition unit 160, and external data. DB 161 and public information DB 170 are provided.

The observation data acquisition unit 110 acquires user observation data. The observation data includes latitude and longitude information, fish detection information, catch amount for each catch target, chlorophyll amount, water depth, water temperature, salinity concentration, flow velocity, mixed layer depth, sea level altitude, sea level altitude gradient, and the like. The water depth and the water temperature include a water temperature and a water depth value detected by XBT (eXpendable Bath Thermography).
The observation data DB 111 stores the acquired observation data. The observation data is stored for each user information described later.

The user information DB 120 stores user information. The user information includes the name of the user, a password for authentication, information about a group such as a fleet to which the user belongs, a catch target of the user, and the like. Furthermore, you may make it record profile information like the main operation area etc. for confirming from other users, such as a share partner.
The group information may be set in advance, or a new group may be registered using an input unit (not shown).

  Note that the items and number of observation data and user information may be set in advance, or may be increased or decreased via an interface (not shown).

  The shared information DB 130 stores, for each user, shared information that is information set for a partner who is allowed to share all observation data observed by the user, that is, a shared user or a shared group.

  The public information DB 170 stores public information for each piece of user information in which a range for which disclosure is permitted is set for each observation data item observed by the user.

  The fishing ground prediction request acquisition unit 140 acquires a signal requesting fishing ground prediction from the user. The fishing ground prediction request may be requested for all fishing targets or may be requested for each fishing target.

When a fishing ground prediction request is input, the fishing ground prediction unit 141 acquires, from each DB, user information of a user who has made a fishing ground prediction, shared information regarding a designated fishing target, and the like. From the acquired result, the shared observation data, which is the observation data that can be shared by the user who made the prediction request, is acquired from the observation data DB 111. Predict fishing grounds for fishing targets from own observation data, acquired shared observation data, observations by artificial satellites, external marine environment data obtained by numerical simulation, etc. In addition, when predicting a fishing ground, the fishing ground may be predicted based on any one or a combination of its own observation data, shared observation data, and external marine environment data.
The fishing ground prediction method will be described later.

  The prediction formula update unit 142 corrects and updates the prediction formula for calculating the fishing ground prediction result for the fishing ground prediction result in the fishing ground prediction 141 using the fishing ground prediction result and the actual catch amount observed by the user. By correcting and updating the prediction formula based on the actual catch result, the accuracy of the prediction formula is improved. The correction and update methods will be described later.

The external data acquisition unit 160 acquires external data included in an external marine environment database. When acquiring external data, if the data items and format in the external data do not match the format used in the fishing ground prediction system 10, it is converted into the same format as the data format recorded in the observation data DB. And you may make it acquire.
The external data DB 161 stores external data acquired from an external marine environment database or the like.
The external data acquired from the external marine environment database includes marine environment data observed by an artificial satellite, marine environment data calculated by numerical simulation, and the like.
As external marine environment database, North Pacific analysis forecast grid data and Northwest Pacific analysis forecast grid data distributed by the Japan Meteorological Business Support Center (http://www.jmbsc.or.jp/), etc. Any database can be used.

  Note that the external data acquisition unit 160 may always operate, or may operate only when the user desires.

  The user terminal 200 includes a transmission unit 210, a prediction result acquisition unit 220, and a fishing ground prediction map display unit 230.

The transmission unit 210 transmits the shared information, the user information, the public information, and the fishing ground prediction request input by the input unit (not shown) to the fishing ground prediction device 100. Furthermore, observation data observed by the user is transmitted to the fishing ground prediction apparatus 100.
Among the observation data, the catch is transmitted at the time when it is input by an input unit (not shown) or at an arbitrary timing set in advance. Other observation data may be transmitted simultaneously with the observation, or may be transmitted at regular intervals.

  The prediction result acquisition unit 220 acquires the fishing ground prediction result calculated by the fishing ground prediction unit 141.

  The fishing ground prediction map display unit 230 displays a fishing ground prediction map reflecting the fishing ground prediction result acquired by the prediction result acquisition unit 220. Moreover, you may make it display not only a fishing ground prediction result but other information, such as the point where the catch amount was recorded, on a fishing ground prediction map.

  Hereinafter, the fishing ground prediction method used in the fishing ground prediction unit 141 will be described.

In the first embodiment, the fishing ground prediction unit 141 performs fishing ground prediction using an HSI model.
The HSI (Habbit Sustainability Index) model uses the amount of resources to be caught and environmental variables in the sea area to statistically compare each environmental variable with the amount of resources. This is a method of obtaining a suitability index (SI) that is digitized as to whether it is easy, integrating them, and obtaining an HSI value that quantifies how suitable the environment field is for a catch target.

First, for each environmental variable, an SI curve representing the relationship between the value of the environmental variable and the actual fish catch value is calculated.
In the first embodiment, sea surface temperature (SST), sea level altitude (SSH), and sea level altitude gradient (∇SSH) are used as environmental variables used for fishing ground prediction. Moreover, CPUE (Catch Per Unit Effort) representing the catch per unit effort is used as the catch.

  The value of SI is defined by the following formula 1 for each environment variable.

数１に示すＳＩの値を算出するために、観測データ中のＣＰＵＥの値と、対応する各環境変数の値を抽出する。その後、抽出したデータを用いて、スプライン平滑化手法を用いて、各環境変数と、ＣＰＵＥの値についてＳＩ曲線を作成する。
数１において、ＹｆｉｔはＳＩ曲線より求めた、任意の環境変数の値におけるｌｎ（ＣＰＵＥ）の値を表している。

In order to calculate the SI value shown in Equation 1, the CPUE value in the observation data and the corresponding environment variable values are extracted. After that, using the extracted data, an SI curve is created for each environment variable and CPUE value using a spline smoothing technique.
In Equation 1, Yfit represents the value of ln (CPUE) in the value of any environment variable obtained from the SI curve.

  The HSI prediction formula for predicting the HSI that is the fishing ground result is shown in the following formula 2.

In Equation 2, the HSI value is calculated from the product of each environmental variable on the assumption that each environmental variable has the same degree of influence on the habitat of the fishing target.
The HSI value calculated in this way indicates a value from 0 to 1, and the larger the value, the more suitable the environment at that point is for the habitat of the fishing target.

  The HSI value is calculated for each point of the fishing ground, that is, for each latitude and longitude according to Equation 2, and the result of the fishing ground prediction is obtained. In order to obtain the HSI value for each latitude and longitude, Yfit in Equation 1 is obtained from the value of each environment variable at each point, and is substituted into Equation 1. At this time, the environmental variable value at each point is obtained for the point where the observation data exists, and for the point where the observation data does not exist, the prediction result is not output or the value of the environmental variable is set from the external data. You may make it acquire and output a prediction result.

In this Embodiment 1, CPUE is employ | adopted about the amount of catch, However, You may use arbitrary variables, such as the position (latitude, longitude) of the fishing boat at the time of operation. For the marine environment data, three types of sea surface temperature, sea surface altitude, and sea level altitude gradient are adopted, but any variable such as salinity, mixed layer depth, and flow velocity may be used.
The calculation method of the HSI value may be any calculation method that can obtain a linear relationship between the population density of the catch target and the HSI value. The SI value addition, multiplication, mixture of addition and multiplication, Geometric Mean A technique such as Model may be used.

  Hereinafter, a method for updating a prediction result in the prediction formula update unit 142 will be described.

The HSI model created at a certain time T0 is set as an initial model. Then, the operation is continued from the initial model creation to an arbitrary time T. The case where the prediction formula is updated at such time T will be described as an example.
First, regression analysis using CPUE as an objective variable and each SI as an explanatory variable is performed using data obtained by standardizing all SI and CPUE data at time T0.
Here, the regression coefficient at time T0 calculated for each SI is recorded.
Next, regression analysis is performed under the same conditions as described above using data obtained by standardizing all SI and CPUE data at time T again. Then, the regression coefficient at time T for each SI is recorded.
By adding new observation data from T0 to T, a change in the contribution of each SI in the HSI model appears as a change in the regression coefficient.
Α1, α2, and α3 are obtained by dividing the regression coefficient at time T by the regression coefficient at time T0. By multiplying the change in the contribution of each SI to the CPUE when calculating the HSI value, the change in each SI value due to the addition of observation data is reflected.
Therefore, the updated HSI model is as shown in Equation 3 below.

  The HSI model calculated in this way is output to the fishing ground prediction unit 141, and the prediction formula in the fishing ground prediction unit 141 is updated.

In addition, the update method of the prediction result in this Embodiment 1 is not limited to said method, The value output from a fishing ground estimation model is compared with an actual catch, and the output of a fishing ground estimation model is actual. Any method may be used as long as it corrects the fishing ground estimation model so as to approach the catch.
In addition, the operation timing of the prediction formula update unit 142, that is, the update timing of the prediction formula may be updated only when there is a request for update, or a certain period is provided, and the operation is automatically performed every time the period has elapsed. You may make it update automatically.

  Note that the fishing ground prediction apparatus 100 and the user terminal 200 according to the first embodiment are only required to be able to perform numerical calculations, input numerical values, and record and output the results. Specifically, a CPU, a memory, and a display unit In addition, a computer having an input / output interface and a communication device, or dedicated hardware can be used.

  In the first embodiment, the fishing ground prediction unit 141 performs fishing ground prediction using an HSI model. However, a regression analysis method such as LASSO regression, an ecological status factor analysis model (ENFA), and a maximum entropy model ( You may perform fishing ground prediction using other methods, such as MaxEnt.

<Operation>
FIG. 2 is a flowchart showing a schematic operation when registering user information, shared information, and public information of the fishing ground prediction system 10 according to the first embodiment. Hereinafter, each operation will be described with reference to FIG.

  In order to register user information, shared information, and public information, first, authentication information such as a user name and a password is input by the user terminal 200 (S201). The input authentication information is transmitted to the fishing ground prediction apparatus 100 by the transmission unit 210.

If the user is a new user, the input authentication information is stored in the user information DB 120. Thereafter, the process proceeds to step S204.
If the user is a registered user, the authentication information is checked and user authentication is performed (S202).

  Then, the authentication result is transmitted to the user terminal 200 (S203).

If the authentication fails (NO in S204), the operation is terminated.
If the authentication is successful (YES in S204), whether or not to input user information or the like is input by the user terminal 200 (S205).

Next, whether or not to input user information or the like is selected by the user terminal 200 (S205).
When other operations such as fishing ground prediction are desired without requesting input of user information or the like (NO in S205), the screen is shifted to another screen or the operation is terminated.
When input of user information or the like is desired (in the case of YES in S205), data regarding the type of fishing target set in advance in the fishing ground prediction apparatus 100 is acquired and transmitted to the user terminal 200 (S206).

  The catch target is set from the sent catch target type by the user terminal 200 (S207). A plurality of catch targets may be set.

  Next, data on the user name and group information already registered in the user information DB 130 is acquired and transmitted to the user terminal 200 (S208).

The user terminal 200 sets the group to which the user belongs from the transmitted group information (S209). If it does not belong to any group, it is selected that the group does not belong.
Whether or not to permit the user to belong to the group is set for each group, and the representative user approves the membership to the group.

Furthermore, the user terminal 200 sets a user and a group that permit sharing of all observation data observed by the user from the transmitted user and group information (S210). Note that a plurality of users and groups that are allowed to share may be selected, or none may be selected.
In addition, when the user who wants to share is not set to permit mutual sharing, observation data sharing is not permitted for both. If the object to be shared is a group, sharing of observation data is permitted if approval is given by a representative user set for each group.

  Next, data is acquired for all items of observation data set in advance in the fishing ground prediction apparatus 100 and transmitted to the user terminal 200 (S211).

  Which items of observation data are to be disclosed to which users and groups using all items of observation data transmitted by the user terminal 200 and the user name and group information transmitted in S208. (S212).

  Finally, a setting end operation, such as pressing a button to which a setting end operation is assigned, is performed, so that each setting information of the catch target, the belonging group, the shared information, and the public information is sent to the fishing ground prediction apparatus 100. It is transmitted (S213). Each setting information is transmitted by the transmission unit 210.

  Each setting information transmitted to the fishing ground prediction apparatus 100 is stored in the corresponding DB (S214). The setting information of the catch target and the group to which it belongs is stored in the user information DB 120. The shared information setting information is stored in the shared information DB 130. The public information setting information is stored in the public information DB.

  FIG. 4 shows an example of a screen display during the operation of the setting of the catch target (step S207), the setting of the belonging group (step S209), and the setting of the shared information (step S210) in the user terminal 200 according to Embodiment 1 of the present invention. Is shown.

  FIG. 5 shows a screen display example during the operation of setting public information (step S213) in the user terminal 200 according to the first embodiment of the present invention.

  FIG. 3 is a flowchart showing a schematic operation of the fishing ground prediction system 10 according to the first embodiment about the fishing ground prediction and the display of the prediction result. Hereinafter, each operation will be described with reference to FIG.

  First, a fishing ground prediction request is transmitted from the user terminal (S301). The fishing ground prediction request is transmitted to the fishing ground prediction apparatus 100 by the transmitting unit 210 together with the information about the fishing target and the user name of the transmitted user.

  The fishing ground prediction request acquisition unit 110 acquires a fishing ground prediction request and a user name, and the fishing ground prediction unit 141 starts fishing ground prediction (S302).

  User information corresponding to the acquired user name is acquired from the user information DB 120. Similarly, shared information and public information are acquired from the shared information DB 130 and public information DB 170 (S303).

Next, the acquired user information and shared information are checked, and a user who is permitted to share information with a user who wants to predict a fishing ground is specified. Thereafter, all observation data recorded for the specified user is acquired from the observation data DB 111 (S304).
In addition, if it is not set to allow sharing of information between the user or group who wants to share information and the user who wants to predict fishing grounds, the observation information of the other party cannot be acquired .
In Embodiment 1, there is an incentive to obtain a highly accurate fishing ground prediction result obtained by making a prediction by adding observation data of others by the act of sharing own observation data in this way. Occur.
As for the incentive, a more direct reward such as money may be obtained. In that case, the reward may vary in proportion to the number of items to be disclosed and the number of opponents, for example, the reward will be higher for the act of publishing than the act of sharing.

  Furthermore, the acquired public information is checked, and the user who is permitted to disclose information to the user who wishes to predict the fishing ground and the items of observation data are specified. Thereafter, observation data corresponding to the identified user and observation data items is acquired from the observation data DB 111 (S305).

Further, external data is acquired from the external data DB 161 for fishing ground prediction (S306).
The external data includes marine environment data observed by an artificial satellite, marine environment data calculated by numerical simulation, and the like.

  Then, the fishing ground is predicted using the data acquired up to step S <b> 306 and transmitted to the user terminal 200. (S307). In the first embodiment, an HSI model is created using information on the catch amount, the sea surface temperature, the sea surface altitude, and the sea surface altitude gradient for each latitude and longitude in the acquired data. The fishing ground prediction result based on the HSI model created in this way is three-dimensional matrix data in which HSI values represented from 0 to 1 are stored for each latitude and longitude information.

  The fishing ground prediction result transmitted from the fishing ground prediction apparatus 100 is acquired by the prediction result acquisition unit 220.

  Finally, the fishing ground prediction map display unit 230 creates a fishing ground prediction map in which the obtained prediction results are plotted on the map information that the user terminal 200 has. And a fishing ground prediction map is displayed on the user terminal 200 (S309). The fishing ground prediction map can confirm the fishing ground prediction result at an arbitrary position on the map by an operation by an input means (not shown) on the user terminal or designation of latitude and longitude information.

  FIG. 6 shows a screen display example during operation for displaying the fishing ground prediction result on the map (step S309) in the user terminal 200 according to Embodiment 1 of the present invention.

  As described above, according to the first embodiment, the following effects can be obtained.

The fishing ground prediction apparatus 100 uses the observation data shared based on the sharing setting information between the users and the groups stored in the user information DB 120, the shared information DB 130, and the public information DB 170, in the fishing ground prediction unit 141. Therefore, it is possible to share fishery data efficiently without worrying about unnecessary data leakage.
In addition, when the fishing ground prediction device 100 is not set to permit mutual sharing of information between a user or group who desires sharing of information and a user who desires fishing ground prediction, the observation information of the sharing partner Since it is configured so that it is not possible to acquire data, there is an incentive that by sharing own observation data, it is possible to obtain highly accurate fishing ground prediction results predicted by adding observation data of others To do. Therefore, there is an effect that data can be shared more actively.

  Furthermore, the fishing ground prediction apparatus 100 is configured to predict the fishing ground in the fishing ground prediction unit 141 using the observation data DB 111 in which the latest observation data transmitted from the user terminal is recorded. The environment can be accurately grasped, and the fishery prediction accuracy is improved.

Embodiment 2
The marine environment data sharing system according to Embodiment 2 of the present invention will be described below with reference to FIG.

<Function and configuration>
FIG. 7 is a block diagram showing the configuration of the marine environment data sharing system 20 according to Embodiment 2 of the present invention.
The marine environment data sharing system 20 includes a marine environment data sharing device 700 and a user terminal 800, and is based on observation data such as catch and water temperature observed by the user, and shared information set for each user. It is a system that predicts fishing grounds from shared observation data.
The marine environment data sharing apparatus 700 and the user terminal 800 are connected via a network such as satellite communication, LAN, or the Internet.
The user terminal 800 is assumed to be installed on a fishing boat that operates.

In FIG. 7, the same reference numerals as those in FIG. 1 denote the same or corresponding parts.
Compared to the first embodiment, the configuration of the marine environment data sharing system 1 is that the desired observation information or a combination thereof is displayed on the marine map among the observation information shared based on the shared information. It is different. Since other configurations are the same as those in the first embodiment, description thereof is omitted.

  The marine environment data sharing apparatus 700 includes an observation data acquisition unit 110, an observation data DB 111, a user information DB 120, a shared information DB 130, a sharing request acquisition unit 710, a shared observation data output unit 720, an external data acquisition unit 160, an external data DB 161, and a public release. An information DB 170 is provided.

  The user terminal 800 includes a transmission unit 210, a shared observation data acquisition unit 810, and a marine environment map display unit 820.

  The sharing request acquisition unit 710 acquires a sharing request that is a signal for requesting output of sharing information for the observation data specified by the user terminal 800. The sharing request may be requested for all fishing targets or may be requested for each fishing target.

  The shared observation data output unit 720 refers to the user information DB 120, the shared information DB 130, and the public information DB 170 in accordance with the input sharing request, and acquires shared observation data that is observation data permitted to be shared from the observation data DB 111. . Shared observation data is acquired only for observation data specified by the user terminal 800 among the observation data.

  The shared observation data acquisition unit 810 acquires the shared observation data output from the shared observation data output unit 720.

  The marine environment map display unit 820 displays the marine environment map in which the shared data acquired by the shared observation data acquisition unit 810, that is, the observation data specified by the user is displayed on the map. The marine environment map may display not only the observation data specified by the user terminal 800 but also other information such as general marine information acquired from the external data DB 161.

<Operation>
FIG. 8 shows the output of the sharing request, the output of the shared observation data according to the sharing request, and the marine environment map describing the output result of the marine environment data sharing system 20 according to the second embodiment. It is the flowchart which showed the outline operation | movement of. Hereinafter, each operation will be described with reference to FIG.
The operations from S303 to S306 in FIG. 8 are the same as the operations corresponding to the numbers in FIG.

  First, the user terminal 800 transmits an observation data item desired to be shared and a sharing request (S801). The sharing request is transmitted to the marine environment data sharing apparatus 700 by the transmission unit 210 together with the information on the catch target and the user name of the transmitted user.

  The sharing request acquisition unit 710 acquires the sharing request, the observation data item desired to be shared, and the user name, and starts sharing the observation data (S802).

  The shared observation data output unit 720 refers to the user information DB 120, the shared information DB 130, and the public information DB 170 according to the input sharing request, and acquires shared observation data that is observation data permitted to be shared from the observation data DB 111. The data is output to the user terminal 800 (S803).

  The shared observation data acquisition unit 810 acquires the shared observation data output from the shared observation data output unit 720 (S804).

  Finally, the marine environment map display unit 820 creates a predicted map that describes the acquired shared observation data on the map information that the user terminal 800 has. Then, the marine environment map is displayed on the user terminal 800 (S805). The ocean environment map can be used to confirm shared observation data at an arbitrary position on the map by an operation using an input unit (not shown) on the user terminal 800 and designation of latitude and longitude information.

  As described above, according to the second embodiment, the following effects are obtained.

  The marine environment data sharing apparatus 700 outputs from the shared observation data output unit 720 the observation data shared based on the sharing setting information between users and groups stored in the user information DB 120, the sharing information DB 130, and the public information DB 170. As a result, it is possible to efficiently share fishing data without worrying about unnecessary data leakage.

  Although the present invention has been described with reference to the first and second embodiments, the present invention is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and operation of the present invention without departing from the spirit of the present invention.

DESCRIPTION OF SYMBOLS 10 ... Fishing ground prediction system 20 ... Marine environment data sharing system 100 ... Fishing ground prediction apparatus 110 ... Observation data acquisition part 111 ... Observation data DB
120 ... User information DB
130 ... Shared information DB
140 ... fishery prediction request acquisition unit 141 ... fishery prediction unit 142 ... prediction formula update unit 160 ... external data acquisition unit 161 ... external data DB
170 ... Public information DB
200, 800 ... user terminal 210 ... transmission unit 220 ... prediction result acquisition unit 230 ... fishing ground prediction map display unit 700 ... marine environment data sharing device 710 ... sharing request acquisition unit 720 ... shared observation data output unit 810 ... shared observation data acquisition unit 820 ... Marine environment map display section

Claims (9)

An observation data acquisition unit for acquiring observation data, which is marine environment data observed by a user;
An observation data DB for storing the observation data;
A user information DB in which user information is stored;
A shared information DB in which shared information is stored, which is setting information on whether to share the observation data for each user;
A fishing ground prediction request acquisition unit that acquires a fishing ground prediction request that is a signal for requesting a fishing ground prediction;
A fishing ground prediction unit that predicts a fishing ground from the shared observation data shared based on the user information and the shared information about the user for the user who has obtained the fishing ground prediction request,
A fishing ground prediction apparatus comprising: The fishing ground prediction apparatus
An external data acquisition unit that acquires external data that is marine environment data possessed by an external DB;
An external data DB for storing the external data;
The fishing ground prediction apparatus according to claim 1, wherein the fishing ground prediction unit predicts a fishing ground using the external data. The fishing ground prediction apparatus
The fishing ground prediction apparatus according to claim 1 or 2, further comprising a public information DB that stores public information data, which is information that sets whether to disclose to other users for each observation data item of each user. . The fishing ground prediction unit
The SI value, which is a numerical value for each environmental variable, shows how easily the fishing target is inhabited from the environmental variables, which are the variables that represent the past catch and the state of the sea area by numerical values. The value of
By integrating the SI value, the fishing ground is predicted using the HSI value obtained by quantifying how suitable the sea area is for the catch target, that is, the Habitat Suitability Index value. Item 4. A fishing ground prediction apparatus according to any one of Items 1 to 3.   The said fishing ground prediction part is further provided with the prediction formula update part which compares the actual catch amount of the said fishing target, and the said SI value in the prediction of the said fishing ground, and updates the said prediction result based on a comparison result. 4. The fishing ground prediction apparatus according to 4.   The observation data may be any one or a combination of latitude and longitude information, fish detection information, catch, chlorophyll, seawater temperature, salinity, flow velocity, mixed layer depth, sea level altitude and sea level altitude gradient for each catch target. The fishing ground prediction apparatus according to any one of claims 1 to 5. A fishing ground prediction apparatus according to any one of claims 1 to 6 and a user terminal,
The user terminal is
A transmission unit for transmitting the observation data to the fishing ground prediction device;
A prediction result acquisition unit for acquiring a prediction result output from the fishing ground prediction unit;
A fishing ground prediction map display unit for displaying to the user a fishing ground prediction map describing the prediction results;
A fishing ground prediction system comprising: An observation data acquisition unit for acquiring observation data, which is marine environment data observed by a user;
An observation data DB for storing the observation data;
A user information DB in which user information is stored;
A shared information DB in which shared information is stored, which is setting information on whether to share the observation data for each user;
A data sharing request acquisition unit for acquiring a data sharing request, which is a signal for requesting output of shared observation data;
A shared observation data output unit that outputs shared observation data shared based on the user information and the shared information related to the user for the user who has obtained the data sharing request;
A marine environment data sharing device. A marine environment data sharing device according to claim 8 and a user terminal,
The user terminal is
A transmission unit for transmitting the observation data to the marine environment data sharing device;
A shared observation data acquisition unit for acquiring shared observation data output from the shared observation data output unit;
A marine environment map display unit displaying a marine environment map describing the shared observation data to the user;
Marine environment data sharing system characterized by comprising:

Images