KR101862081B1 - Method for providing information on weather near path of moving vehicle and system using the same - Google Patents

Abstract

The present invention provides a method of providing weather information on a flight path of a moving vehicle which can accurately forecast weather. According to an aspect of the present invention, the method of providing weather information on a flight path of a moving vehicle comprises: step (a) where a weather forecast device acquires real-time weather data corresponding to each location of a moving vehicle in flight in a state where a wide weather model, which is weather forecast information for a wide area corresponding to the entire flight path of the moving vehicle, is acquired; and step (b) where the weather forecast device refers to the wide weather model and the real-time weather data to at least use weather forecast information for a local forecast area corresponding to a first prescribed distance in a front direction of the moving vehicle in flight to perform modeling as a local weather model, and supplies information acquired by referring to the modeled local weather model to the moving vehicle or support a different computing device to supply the information to the moving vehicle.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method of providing weather information on a navigation path of a moving object,

More particularly, the present invention relates to a method for providing weather information on a navigation path of a moving object and a system using the method. More particularly, the present invention relates to a method for acquiring real- At least a weather forecasting information for a local prediction region corresponding to a first predetermined distance in a forward direction of a moving object in the moving direction of the moving object is used as at least a local weather model, and information obtained by reference to the modeled local weather model is provided to the moving object A method for supporting another computing device to provide the moving object to the moving object, and an apparatus using the same.

In recent years, as people's living standards have increased, many people have traveled by using airplanes. Since weather information is directly related to safety of airplanes, forecasting of weather information on airplanes' flight paths is becoming more important.

However, it is difficult to forecast the current turbulence in the local area due to the wide range of weather forecasts from the start point to the arrival point.

In addition, it is difficult to determine the flight path in real time according to the weather information inside the aircraft because the weather information and the flight path are determined through the control tower.

Accordingly, the present inventor proposes a method of providing weather information on a navigation route to a moving object such as an aircraft in real time, and a system using the method.
Korean Patent No. 10-1063999 discloses the prior art document of the present invention.

The present invention aims at solving all of the above problems.

Another object of the present invention is to provide weather information for a wide area, as well as weather information for a local prediction area located on a navigation path of a moving object in real time, and to select an appropriate navigation route for the situation.

In addition, the present invention refers to the real-time weather data acquired through the sensor included in the moving object and the weather forecast value acquired in the previous local forecast region, thereby obtaining a more accurate weather forecast in the next local forecast region located on the navigation path of the vehicle Another purpose is to do what you can do.

In order to accomplish the objects of the present invention as described above and achieve the characteristic effects of the present invention described below, the characteristic structure of the present invention is as follows.

According to one aspect of the present invention, there is provided a method of providing weather information on a navigation path of a moving object, the method comprising: (a) acquiring a weather model, which is weather forecast information for a wide area corresponding to an entire navigation route of the vehicle, The meteorological prediction apparatus obtains corresponding real-time weather data for each location of the moving vehicle in operation, and (b) the meteorological forecasting apparatus refers to the meteorological weather model and the real-time weather data, Modeling as the local weather model using at least the weather prediction information for the local prediction region corresponding to the first predetermined distance to provide the information obtained with reference to the modeled local weather model to the moving object, The method comprising the steps of:

According to another aspect of the present invention, there is provided an apparatus for providing weather information on a navigation path of a moving object, the apparatus comprising: a weather information acquiring unit that acquires a weather model, which is weather forecast information for a wide- And a local prediction unit configured to calculate a local prediction mode corresponding to the first predetermined distance in the forward direction of the moving vehicle in reference to the wide-area weather model and the real-time weather data, And a processor for modeling the weather forecast information using at least the weather forecast model as a local weather model and providing information obtained with reference to the modeled local weather model to the mobile or to provide another computing device with the mobile weather forecast Device is provided.

The present invention has the following effects.

In addition, the present invention has an effect of selecting weather path information for a wide area as well as weather information for a local prediction area located on a flight path of an aircraft in real time and selecting an appropriate flight path for the situation.

In addition, the present invention refers to the real-time weather data acquired through the sensor included in the moving object and the weather forecast value acquired in the previous local forecast region, thereby obtaining a more accurate weather forecast in the next local forecast region located on the navigation path of the vehicle There is an effect that can be done.

1 is a view schematically showing a relationship between a moving object and a weather prediction apparatus according to an embodiment of the present invention.
2 is a diagram showing a configuration of a weather prediction apparatus according to an embodiment of the present invention.
3 is a diagram illustrating a first predetermined distance and a local predictive region centering on a moving object according to an embodiment of the present invention.
4 is a diagram illustrating a local prediction region according to an embodiment of the present invention.
5 is a diagram illustrating a local display area according to an embodiment of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which such claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, so that those skilled in the art can easily carry out the present invention.

1 is a view schematically showing a relationship between a moving object 200 and a weather prediction device 100 according to an embodiment of the present invention.

1, a moving object 200 includes a weather data obtaining unit 210 and a moving object navigation apparatus 220. A weather prediction apparatus 100 and a control tower 300 are shown outside the moving object 200, Communication can be made between each other.

Here, the weather data obtaining unit 210 may serve as a kind of sensor to obtain the weather data of the current position of the mobile unit 200 or its surroundings. In addition, the mobile object navigation device 220 may determine a navigation path, a speed, and the like of the mobile object 200. [

1, the weather forecasting apparatus 100 can be included in the moving object 200. In this case, the moving object 200 itself can perform a weather prediction, which will be described later, You can change the path.

1, the weather forecasting apparatus 100 is configured to transmit and receive information directly to and from the mobile body 200 through the control tower 300. However, Or the weather forecasting apparatus 100 may be included in the control tower 300. [

2 is a diagram schematically showing a configuration of a meteorological prediction apparatus 100 according to an embodiment of the present invention.

The weather prediction system 100 of the present invention includes a communication unit 110 and a processor 120. In some cases, the weather prediction system 100 may include a database 130, unlike the system shown in FIG.

First, the communication unit 110 of the weather prediction apparatus 100 can be implemented by various communication technologies. (WIFI), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), High Speed Packet Access (HSPA), Mobile WiMAX, WiBro, , Long Term Evolution (LTE), bluetooth, infrared data association (IrDA), Near Field Communication (NFC), Zigbee, and wireless LAN technology. In addition, if the service is connected to the Internet, it can follow TCP / IP, a standard protocol for transmitting information on the Internet.

The communication unit 110 may receive necessary information from the control tower 300 or the mobile 200 or may transmit necessary information to the control tower 300 or the mobile 200. [

Next, the database 130 can be accessed by the communication unit 110 of the weather forecasting apparatus 100, and the processor 120 will be described in detail later through detailed description.

On the other hand, in a state where the wide-area weather model, which is the weather prediction information for the wide area corresponding to the entire navigation path of the mobile object 200, is acquired, the weather prediction device 100 calculates the real- Data can be acquired.

Here, the wide area means a wide area including the entire navigation route, and the wide area weather model can be a model derived from the approximate weather prediction information for a wide area.

For example, if the flight path of a particular aircraft is assumed to be Busan in Seoul, the wide area may mean a wide area from Seoul to Busan, and when this section is divided into broad units, at least one of these sections It may mean.

The wide area weather model may be modeled by referring to weather data obtained through a sensor located in another area such as a sensor located on the ground, as well as the weather data acquisition unit 210 included in the moving object 200.

The moving object 200 can acquire real-time weather data at a certain distance from the current position as well as the current position of the moving object 200 through the weather-data obtaining unit 210, and transmits the real-time weather data to the weather forecasting apparatus 100 . In addition, as described above, the weather prediction apparatus 100 may be located inside the moving object 200. In this case, the weather prediction apparatus 100 may acquire real-time weather data directly from the weather data acquisition unit 210. [

The weather data may include temperature, humidity, air pressure, wind speed, wind direction, cloud amount, cloud shape, precipitation amount, etc., and the weather data obtaining unit 210 can obtain the weather data in real time.

3 is a view showing a first predetermined distance and a local predictive region centering on the moving object 200. In FIG.

5A is a view showing a local display region corresponding to a second predetermined distance as well as a local predicted region around the moving object 200. FIG.

The processor 120 of the weather forecasting apparatus 100 refers to the wide-area weather model and the real-time weather data to calculate the weather forecast information for the local prediction region corresponding to the first predetermined distance in the forward direction of the moving object 200, And can be modeled as a local weather model.

Referring to FIG. 3, a region corresponding to a first predetermined distance in the forward direction from the moving object 200 corresponds to a local prediction region and can be modeled as the local weather prediction model using the prediction information for the local prediction region.

Here, the weather forecast information is predicted weather information that can be obtained by referring to weather data such as temperature, and may include weather information that may affect the flight such as snow, rain, thunderstorms, and turbulence.

The present invention is not limited to only one weather prediction information in the local prediction region and a plurality of weather prediction information may be displayed in the local prediction region according to the region. That is, within a local prediction region, a specific neighborhood may be predicted to be in the vicinity, and it may be predicted to be clear in the other vicinity.

3, in addition to the weather prediction information obtained in the area corresponding to the first predetermined distance in front of the moving object 200 in modeling using the weather prediction information for the local prediction area, As can be seen, the weather prediction information for an area including a predetermined distance x in the backward direction of the moving object 200 may be used. That is, the weather information can be modeled as a local weather model using the weather information of a region at a predetermined distance forward of the mobile object 200, or the weather information can be modeled as a local weather model As shown in FIG.

In addition, the weather forecasting apparatus 100 can provide information obtained by reference to the modeled local weather model to the mobile 200, or to provide another computing device with the mobile 200. [

The weather prediction apparatus 100 may be configured so that the local display area corresponding to the second predetermined distance in the forward direction of the moving vehicle 200 in operation is displayed on a predetermined screen mounted on the moving object 200, Can be displayed.

Referring to FIG. 5A, it can be seen that the local prediction region corresponds to a first predetermined distance and the local display region corresponds to a second predetermined distance. In other words, the weather forecasting apparatus 100 can be modeled as a local weather model using the weather forecast information for the local forecast region, and displayed when the local display region is displayed. Of course, in some cases, the local prediction region and the local display region may coincide with each other.

4A is a diagram illustrating a plurality of local prediction regions that are not overlapped, and FIG. 4B is a diagram illustrating a plurality of local prediction regions overlapped with each other.

And the local prediction region to be currently operated by the mobile 200 among the n local prediction regions is assumed to be a k-th local prediction region. Here, k is an integer equal to or greater than 1 and equal to or smaller than n, and it is assumed that the larger the value of k, the closer to the destination in the entire navigation route.

The processor 120 of the weather forecasting apparatus 100 determines whether (1) the k-th real-time weather data corresponding to the wide-area meteorological model and the k-th local prediction region, (K + 1) -th local predictive region corresponding to the wide-area meteorological model and the (k + 1) -th local predictive region when the moving object 200 desires to operate the (k + And can be modeled as a (k + 1) local meteorological model with reference to real-time weather data.

Specifically, the local meteorological model and the k-th real-time weather data can be referred to for modeling as the k-th local meteorological model when the k-th local forecast region is operated or during operation, and the (k + 1) Before or during operation, it is possible to refer to the wide-area meteorological model and the (k + 1) -day weather data for modeling as the k + 1 local meteorological model.

For reference, the kth and k + 1th real time weather data may include temperature, humidity, air pressure, wind speed, wind direction, cloud amount, cloud shape, precipitation, etc. measured in real time in kth and k + have.

As another example, the processor 120 of the weather forecasting apparatus 100 may be configured such that (1) when the mobile 200 wants to operate the k-th local prediction region, the k-th Local gas phase model with reference to the real-time weather data, (k-1) real-time weather data (i.e., real-time weather data corresponding to the local prediction region just before reaching the k-th local prediction region) 1 local weather model by referring to the wide-area meteorological model, the k-th real-time weather data, and the (k + 1) -th real-time weather data when the user wants to operate the (k + 1) local prediction region.

In this case, a wide-range weather model, k-th real-time weather data, and (k-1) real-time weather data can be referred to for modeling as the k-th local weather model. Likewise, when the (k + 1) th local weather forecast model is used to model the k + 1 local weather model, the kth real weather data and the (k + 1) Can be referenced.

As another example, it is possible to assume a case of referring to the wide-area weather model, the k-th real-time weather data, the (k + 1) -th real-time weather data, and the (k + 2) There will be.

In other words, some or all of the previous weather data can be utilized to obtain the local weather model of the local prediction region to operate. This is because it is possible to obtain more accurate weather prediction information for the local prediction region to be operated in the future through the previous weather data.

4A, the processor 120 of the meteorological prediction apparatus 100 refers to the navigation speed of the mobile 200 and the calculation time required for modeling as a local weather model, The +1 local prediction region can be prevented from overlapping.

Specifically, even if the navigation speed is slow or the computation time required for modeling is small, even though the k + 1 local predictive region is immediately operated, it can be modeled as a (k + 1) local weather model, The +1 local prediction region can be prevented from overlapping.

Conversely, as can be seen from Fig. 4B, the processor 120 of the weather prediction apparatus 100 may overlap a part of the k-th local prediction region and a part of the (k + 1) -th local prediction region. Specifically, when the navigation speed is high or the calculation time required for modeling is large, a predetermined time is required for modeling as the (k + 1) local weather model, so that the k + 1 local weather model It is possible to make a part of the k-th local prediction area overlap with a part of the (k + 1) -th local prediction area.

When the kth local prediction region overlaps with the (k + 1) th local prediction region, the distance of the overlapping partial region of the kth local prediction region and the (k + 1) 200).

Since the distance is the product of the speed and the time, the distance by which the moving object 200 moving at the operating speed moves during the calculation time can be obtained through the product of the operation speed and the operation speed of the moving object 200, It is possible to set the distance of some area overlapping correspondingly.

Referring to FIG. 4B, since some regions may overlap with a plurality of local prediction regions and the distance of the overlapping partial regions may be determined by referring to the operation speed of the mobile unit 200 or the calculation time required for modeling, The distance of the partial region overlapping between the k-th local prediction region and the (k + 1) -th local prediction region and the distance of the partial region overlapping between the (k + 1) ≪ / RTI >

On the other hand, if the k-th local meteorological model and the (k + 1) local meteorological model of the overlapped partial region are different from each other, the meteorological prediction apparatus 100 can acquire and reflect information on the error.

Specifically, the k-th local meteorological model and the (k + 1) -th local meteorological model derive their results through real-time weather data or a wide-area meteorological model which may be different from each other.

If the k-th local meteorological model and the (k + 1) local meteorological model of the overlapped part of the region are different from each other, the k-th local meteorological model derived previously, rather than the most recently derived k + ) Is likely to be different from actual weather information at the present time of operation.

Therefore, since it can be known that the weather condition including the weather data is changed between the time when the kth local weather model is obtained and the time when the (k + 1) local weather model is obtained, the processor 120 of the weather forecasting apparatus 100 , Information on the error can be acquired and reflected.

4C is a diagram showing that a plurality of local prediction regions are overlapped due to a different sampling time for modeling.

The first predetermined distance of the local prediction region can be determined corresponding to the navigation speed of the mobile 200 and the sampling time to model as a local weather model.

That is, since the distance is the product of the speed and the time, the first predetermined distance of the local prediction region can be determined through the product of the speed of the moving object 200 and the sampling time for modeling.

For reference, the first predetermined distance is assumed to be the same for each local prediction region, but the first predetermined distances of the local prediction regions may be different from each other.

In addition, the processor 120 of the weather forecasting apparatus 100 can determine whether the weather information of the local prediction region changes rapidly, (ii) whether or not the weather information of the local prediction region changes rapidly, (ii) And (iii) whether or not there is a geographical factor affecting the operation of the mobile 200 in the local prediction region.

Specifically, if there is a dangerous weather factor such as a thunderstorm that may cause a sudden change of weather information in the local prediction region or a difficulty in navigation of the mobile 200 in the local prediction region, the sampling time may be reduced to obtain more accurate weather prediction information can do.

Referring to FIG. 4C, since there is a weather hazard area such as a thunderstorm on the route of the mobile object 200, and it is necessary to acquire rapidly changing weather information in the vicinity of the danger area, the sampling time can be reduced. As a result, as shown in FIG. 4C, the k + 1 local prediction region and the (k + 2) th local prediction region are overlapped with each other in the vicinity of the dangerous region so that the rapidly changing weather prediction information can be obtained in real time even in the same region.

Meanwhile, as described above, the local prediction region and the local display region may be different. In this case, only the regions L1, L2, and L3 in the vicinity of the weather hazardous region in FIG. 4C may be displayed as the local display region.

5B is a view showing a scene that induces a change of a navigation route of the moving object 200 in a displayed local display area.

The weather forecasting apparatus 100 can support the mobile body navigation device 220 to change the navigation path of the mobile body 200 by referring to the modeled local weather model.

For example, the meteorological prediction apparatus 100 acquires a meteorological hazard zone such as a thunderstorm or a turbulent flow on a route through a local weather model, and instructs the pilot of the mobile unit 200 to display the local display region So that it is advisable to notify the presence of a dangerous area on the route of the mobile unit 200 and change the navigation route.

On the other hand, when the predetermined time has elapsed from the time when the wide-area weather model is acquired, the wide-area weather model can be updated to the wide-area weather model for the wide-area region at the time when the predetermined time has elapsed.

This is because the weather forecast information for a wide area can also be changed over time, and it is necessary to acquire a wide-area weather model reflecting this. Therefore, it is possible to update the wide-area weather model every predetermined time, and to generate the local weather model modeled with reference thereto.

Although the moving object 200 is shown as a flying object in the drawing, the moving object 200 may include an unmanned airplane, a manned aircraft, a remote controlled moving object, an airship, a ship, a hot air balloon,

The embodiments of the present invention described above can be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer-readable recording medium may be those specially designed and constructed for the present invention or may be those known and used by those skilled in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules for performing the processing according to the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, Those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.

Therefore, the spirit of the present invention should not be construed as being limited to the above-described embodiments, and all of the equivalents or equivalents of the claims, as well as the following claims, I will say.

100: Weather forecasting device
110:
120: Processor
130: Database
200: mobile body
210: weather data acquisition unit
220: Mobile navigation device
300: Control Tower

Claims (22)

A method for providing weather information on a navigation path of a moving object,
(a) acquiring real-time weather data corresponding to the position of the moving object in operation, in a state of acquiring a wide-area weather model, which is weather prediction information for a wide area corresponding to the entire navigation path of the moving object, ; And
(b) The meteorological forecasting apparatus refers to the wide-area weather model and the real-time weather data and uses at least the weather prediction information on the local prediction region corresponding to the first predetermined distance in the forward direction of the moving vehicle in operation, Modeling the modeled local meteorological model as a model, providing information obtained with reference to the modeled local meteorological model to the mobile or supporting another computing device to provide the mobile with the information;
, ≪ / RTI &
N is the number of the local prediction regions arranged in correspondence with the entire navigation route, and among the n local prediction regions, the local prediction region currently operated by the moving object is a kth local prediction region, k is at least 1 and n And is a local prediction region closer to the destination in the entire navigation path as the value of k is larger,
The meteorological prediction apparatus includes:
(i) (1) when the moving object desires to operate the k-th local prediction region, it refers to the k-th real-time weather data corresponding to the wide-area weather model and the k-th local prediction region, (K + 1) -th real-time weather data corresponding to the wide-area wake-up model and the (k + 1) -th local prediction area when the moving object desires to operate the (k + 1) 1) local meteorological model, or (ii) (1) the k-th real-time weather data corresponding to the wide-area weather model, the k-th local predicted area, and (K-1) -th real-time weather data, wherein the (k-1) -th real-time weather data is real-time weather data corresponding to a local prediction region just before reaching the k-th local prediction region (K + 1) -th real-time weather data, and (2) when the moving object desires to operate the (k + 1) th local prediction region, + 1 < / RTI > local weather model. delete The method according to claim 1,
The meteorological prediction apparatus includes:
And the kth local predictive region and the k + 1 local predictive region are prevented from overlapping with each other by referring to the navigation speed of the moving object and the calculation time required for modeling as the local weather model, And a portion of the (k + 1) th local prediction region is overlapped. The method of claim 3,
And when the k-th local prediction region overlaps the k + 1-th local prediction region, the distance of the overlapping partial region of the k-th local prediction region and the (k + 1) Wherein the moving distance of the moving object corresponds to the moving distance of the moving object moving at a speed. The method of claim 3,
Wherein when the k-th local meteorological model and the (k + 1) local meteorological model of the overlapping partial region are different from each other, the meteorological prediction apparatus acquires information on the error and reflects the information. The method according to claim 1,
Wherein the first predetermined distance of the local prediction region is determined in correspondence with a traveling speed of the moving object and a sampling time to be modeled as the local weather model. The method according to claim 6,
The meteorological prediction apparatus includes:
(i) whether or not weather information of the local prediction area changes rapidly, (ii) whether there is a risk factor of a risk in the navigation of the moving object in the local prediction area, and (iii) And determining whether the sampling time corresponds to at least one of whether or not there is a geographical factor affecting the moving object. The method according to claim 1,
(c) The meteorological prediction apparatus supports the mobile body navigation apparatus to change the navigation route of the mobile body by referring to the modeled local meteorological model. The method according to claim 1,
And updates the wide-area weather model to a wide-area weather model for the wide-area at a point of time when the predetermined time elapses, when a preset time elapses from the time when the wide-area weather model is acquired. The method according to claim 1,
When providing the modeled local meteorological model to the moving object or supporting another computing device to provide the moving object,
Wherein the weather forecasting device is provided with a local display area corresponding to a second predetermined distance in the forward direction of the moving vehicle in operation so as to be displayed on a predetermined screen mounted on the moving object or to be displayed by another computing device Lt; / RTI > The method according to claim 1,
Wherein the moving body includes an unmanned aircraft, a manned aircraft, a remote controlled moving object, an airship, a ship, and a hot air balloon. An apparatus for providing weather information on a navigation path of a moving object,
A communication unit for acquiring real-time weather data corresponding to a position of the moving vehicle in a state of acquiring a wide-area weather model, which is weather forecast information for a wide area corresponding to the entire navigation route of the moving object; And
Modeling the weather model as a local weather model by using at least the weather prediction information for the local prediction region corresponding to the first predetermined distance in the forward direction of the moving vehicle in operation with reference to the wide-area weather model and the real- A processor that provides information obtained with reference to a weather model to the mobile or provides the other computing device with the mobile,
, ≪ / RTI &
N is the number of the local prediction regions arranged in correspondence with the entire navigation route, and among the n local prediction regions, the local prediction region currently operated by the moving object is a kth local prediction region, k is at least 1 and n And is a local prediction region closer to the destination in the entire navigation path as the value of k is larger,
The processor comprising:
(i) (1) when the moving object desires to operate the k-th local prediction region, it refers to the k-th real-time weather data corresponding to the wide-area weather model and the k-th local prediction region, (K + 1) -th real-time weather data corresponding to the wide-area wake-up model and the (k + 1) -th local prediction area when the moving object desires to operate the (k + 1) 1) local meteorological model, or (ii) (1) the k-th real-time weather data corresponding to the wide-area weather model, the k-th local predicted area, and (K-1) -th real-time weather data, wherein the (k-1) -th real-time weather data is real-time weather data corresponding to a local prediction region just before reaching the k-th local prediction region (K + 1) -th real-time weather data, and (2) when the moving object desires to operate the (k + 1) th local prediction region, + 1 < / RTI > local weather model. delete 13. The method of claim 12,
The processor comprising:
And the kth local predictive region and the k + 1 local predictive region are prevented from overlapping with each other by referring to the navigation speed of the moving object and the calculation time required for modeling as the local weather model, And a part of the (k + 1) -th local predictive region overlap with each other. 15. The method of claim 14,
And when the k-th local prediction region overlaps the k + 1-th local prediction region, the distance of the overlapping partial region of the k-th local prediction region and the (k + 1) And the moving distance of the moving object moving at a speed corresponding to the traveling distance of the moving object. 15. The method of claim 14,
And when the kth local weather model and the (k + 1) local weather model differ from each other in the overlapping area, the processor acquires information on the error and reflects the information. 13. The method of claim 12,
Wherein the first predetermined distance of the local prediction region is determined in accordance with a navigation speed of the moving object and a sampling time to be modeled as the local weather model. 18. The method of claim 17,
The processor comprising:
(i) whether or not weather information of the local prediction area changes rapidly, (ii) whether there is a risk factor of a risk in the navigation of the moving object in the local prediction area, and (iii) And whether or not there is a geographical factor affecting the navigation of the moving object. 13. The method of claim 12,
Wherein the processor supports the mobile body navigation apparatus to change the navigation path of the mobile body by referring to the modeled local meteorological model. 13. The method of claim 12,
And updates the wide-area weather model to a wide-area weather model for the wide-area at a point of time when the predetermined time elapses, when a predetermined time has elapsed from the time when the wide-area weather model is acquired. 13. The method of claim 12,
When providing the modeled local meteorological model to the moving object or supporting another computing device to provide the moving object,
Wherein the processor is configured to provide a local display area corresponding to a second predetermined distance in a forward direction of the moving vehicle in operation to be displayed on a predetermined screen mounted on the moving object or to enable other computing devices to display the local display area Weather prediction device. 13. The method of claim 12,
Wherein the moving object includes an unmanned aircraft, a manned aircraft, a remote control moving object, an airship, a ship, and a hot air balloon.

Images