JP6818569B2 - Meteorological information processing equipment, meteorological information processing method, program - Google Patents

Description

Embodiments of the present invention relate to a meteorological information processing device, a meteorological information processing method, and a program.

Various meteorological phenomena such as eddy and lightning have a great influence on the operation of aircraft. For this reason, conventionally, a system that provides information on individual meteorological phenomena has been known with the aim of safe operation. However, there are cases where it is not possible to provide information that is highly convenient for the user.

Japanese Unexamined Patent Publication No. 2003-67900 JP-A-2009-192262 Japanese Unexamined Patent Publication No. 2012-181041

An object to be solved by the present invention is to provide a meteorological information processing device, a meteorological information processing method, and a program capable of providing information highly convenient for the user.

The meteorological information processing device of the embodiment has an acquisition unit and an information integration unit. The acquisition unit includes information on the weather provided by the crew of the aircraft, dynamic information of the aircraft obtained by communicating with the aircraft by the secondary surveillance radar installed on the ground, and the secondary surveillance radar is the aircraft. Observation data including dynamic detection information indicating the detection result of the equipment installed in the aircraft obtained by communication and data observed by a device installed on the ground and observing the state of the weather, which is different from the weather radar. And get. The information integration unit integrates the weather information, the dynamic information, the dynamic detection information, and the observation data acquired by the acquisition unit .

The figure which shows the functional structure of the meteorological information processing system 1. The flowchart which shows the flow of the process executed by the weather information processing apparatus 50. The figure which shows an example of the integration table TB. The figure which shows an example of the image displayed on the display part 68. The figure which shows an example of the risk table TB1. The figure which shows another example of the image displayed on the display part 68.

Hereinafter, the meteorological information processing apparatus, the meteorological information processing method, and the program of the embodiment will be described with reference to the drawings.

FIG. 1 is a diagram showing a functional configuration of the weather information processing system 1. The meteorological information processing system 1 including the meteorological information processing device 50 includes, for example, one or more air traffic control information processing systems 2, one or more information processing systems 4, one or more aviation weather information providing systems 6, and one or more. The weather data integrated processing system 8 and one or more data distribution systems 10 and one or more support systems 20 are provided. These systems communicate with each other via networks such as LAN (Local Area Network), WAN (Wide Area Network), and the Internet. Further, these systems are not limited to the aircraft 80 shown in the figure, and transmit / receive information to / from other aircraft. In the illustrated example, the input to the support system is shown by the dotted line, and the output by the support system is shown by the solid line.

[Systems other than support systems]
The air traffic control information processing system 2 is a system managed by the Civil Aviation Bureau, and is a system that supports safe operation and scheduled operation of the aircraft 80, and supports control operations and the like. The air traffic control information processing system 2 acquires weather observation report information from the aircraft 80 using wireless communication, and provides the acquired information to the support system 20 or the aviation weather information providing system 6.

The meteorological observation report information is information on the weather reported by the crew of the aircraft 80, for example, a pilot report (PIREP; Pilot Report) reported by the captain. The weather observation report information may be, for example, information related to the weather (for example, information indicating the occurrence of turbulence) input to a microphone or the like as voice, or the occupant may refer to the operation unit provided on the aircraft 80. It may be the information entered in. In the case of information input as voice, the voice data is converted into data that can be processed by the support system 20 in the air traffic control information processing system 2 or the like.

Further, the air traffic control information processing system 2 acquires support information from the support system 20. The support information is information provided by the support system 20 and is information for supporting the operation of the aircraft 80 (details will be described later).

Further, the air traffic control information processing system 2 provides the aircraft 80 with the aviation weather information acquired from the aviation weather information providing system 6. The aeronautical meteorological information is information on the weather that affects the operation of the aircraft 80, airport facilities, and the like, and is information such as wind direction, wind speed, and weather.

The information processing system 4 is a system managed by an airline company, which manages an operation plan of the aircraft 80 and supports safe operation and on-time operation of the aircraft 80. The information processing system 4 acquires support information from the support system 20. The information processing system 4 acquires meteorological observation report information from the aircraft 80 using wireless communication, and provides the acquired information to the aviation meteorological information providing system 6 and the support system 20. Further, the information processing system 4 provides the aircraft 80 with the aviation weather information acquired from the aviation weather information providing system 6 and the support information acquired from the support system 20.

The aviation weather information providing system 6 is a system managed by the aviation local meteorological observatory provided in the airport, and observes the weather condition of the target area including the airport, the vicinity of the airport, the air route, etc., and the weather in the target area. It is a system that provides information about (aviation weather information) to aviation personnel. Further, the aviation weather information providing system 6 acquires the support information from the support system 20. The aviation weather information providing system 6 provides the meteorological observation report information and the aviation meteorological information acquired from the air traffic control information processing system 2 or the information processing system 4 to the meteorological data integrated processing system 8.

The meteorological data integrated processing system 8 is a system managed by an organization having jurisdiction over meteorological services in the national and local governments. The meteorological data integrated processing system 8 manages the meteorological observation report information and the aviation meteorological information acquired from the aviation meteorological information providing system 6. In addition, the meteorological data integrated processing system 8 manages meteorological observation information acquired from various server devices (not shown), a meteorological radar device (not shown), and the like. Meteorological observation information is observation data in which meteorological conditions are observed on the ground. The meteorological data integrated processing system 8 provides the meteorological observation report information, the aviation meteorological information, and the meteorological observation information to be managed to the data distribution system 10.

Further, the meteorological data integrated processing system 8 derives numerical weather prediction data based on the meteorological observation information or aviation meteorological information and a predetermined model, and transmits the derived numerical weather prediction data to the data distribution system 10. The numerical weather prediction data is, for example, a numerical weather prediction model GPV (Grid Point Value) derived from a meso numerical weather prediction model (MSM; Meso Scale Model), a global numerical weather prediction model (GSM: Global Spectral Model), or the like.

The data distribution system 10 is a system managed by an organization that supports businesses and organizations that perform meteorological services. The data distribution system 10 distributes aviation weather information, meteorological observation report information, meteorological observation information, and numerical weather prediction data to the support system 20.

The secondary surveillance radar 12 is a device installed on the ground, and downlinks information such as dynamic information of the aircraft acquired from the aircraft 80 and information indicating the detection result of a device (for example, a sensor) installed in the aircraft 80. The support system 20 is provided with the acquired dynamic information or the information indicating the detection result acquired by using the function. The dynamic information is, for example, information about the aircraft such as the magnetic direction of the aircraft 80, airspeed, ground speed, elevating rate, turning rate, roll angle, and selected altitude. The information indicating the detection result is, for example, the detection result of the equipment provided in the aircraft 80 such as the temperature, the atmospheric pressure, and the humidity. The combination of the dynamic information and the information indicating the detection result is hereinafter referred to as dynamic detection information (DAPs; Downlink Aircraft Parameters). Further, the secondary surveillance radar 12 provides the aircraft 80 with the support information acquired from the support system 20.

The communication satellite 14 acquires the support information provided by the support system 20 and provides the acquired information to the aircraft 80.

[Support system]
The support system 20 includes, for example, a meteorological observation device 30 and a meteorological information processing device 50.

[Weather observation equipment]
The meteorological observation device 30 includes, for example, a phased array weather radar 32, a parabolic weather radar 34, a rider 36, a wind profiler 38, a sonde 40, a meteorological satellite 42, a ground meteorological observation device 44, and a camera 46. including.

The phased array weather radar 32 is, for example, a weather radar that observes atmospheric conditions including rain and snow on the ground. The phased array weather radar 32 includes, for example, a phased array antenna. This phased array antenna is an antenna that includes a plurality of antenna elements and can electronically change the directivity angle. The phased array weather radar 32 observes the three-dimensional state of the atmosphere at high speed by rotationally driving the antenna in the horizontal direction while electronically scanning the elevation direction.

The parabolic weather radar 34 is a weather radar that observes the state of the atmosphere including rain, snow, and the like on the ground in the same manner as the phased array weather radar 32. The parabolic weather radar 34 includes a parabolic antenna, and by mechanically rotating the parabolic antenna, the state of the atmosphere in the direction in which the parabolic antenna is facing is observed.

The rider 36 emits laser light from the ground to the sky, and derives a change in Doppler frequency based on the result of receiving scattered light generated by the emitted laser light hitting fine particles (aerosol) in the atmosphere. By doing so, the wind speed and direction of the region where the laser beam is emitted are derived.

The wind profiler 38 emits radio waves from the ground toward the sky, and derives the wind direction and speed in the sky based on the result of receiving the radio waves scattered and returned by the turbulence of the wind in the atmosphere.

The sonde 40 is equipped with a sensor for measuring meteorological elements such as atmospheric pressure, air temperature, and humidity, and is equipped with a radio transmitter for transmitting the measured information. The sonde 40 is, for example, blown from the ground to the sky (approximately 30 km at an altitude) by a rubber balloon or the like, and transmits the result detected by the sensor in the sky using a wireless communication device to the weather information processing apparatus 50.

The meteorological satellite 42 is an artificial satellite for the purpose of meteorological observation. The meteorological satellite 42 provides information including the observation result to the meteorological information processing apparatus 50 via the communication station of the meteorological satellite 42. The ground meteorological observation device 44 is provided on the ground and automatically performs meteorological observations such as temperature, humidity, wind direction, wind speed, and precipitation, and provides the observation results to the meteorological information processing device 50.

The camera 46 images a predetermined area and provides the captured image to the weather information processing device 50. Further, the camera 46 may include an analysis unit that analyzes the captured image and analyzes the state of the weather in the region where the image is captured. In this case, the camera 46 may provide the analysis result (weather state) of the analysis unit to the weather information processing device 50.

[Weather information processing device]
The weather information processing device 50 includes, for example, a data storage unit 52, a numerical weather calculation unit (weather calculation unit) 54, an information integration unit 56, a risk determination unit (risk derivation unit) 58, and a route information derivation unit 60. , A control information calculation unit 62, a display information generation unit 64, a storage unit 66, and a display unit 68. The numerical weather calculation unit 54, the information integration unit 56, the risk determination unit 58, the route information derivation unit 60, the control information calculation unit 62, and the display information generation unit 64 are processors such as a CPU (Central Processing Unit). May be realized by executing the program stored in the storage unit 66. In addition, all or part of these functional parts are realized by hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), and these functional parts. It may have a circuit configuration for realizing the function of. Moreover, these functional parts may be realized by the collaboration of software and hardware.

The storage unit 66 is realized by, for example, a non-volatile storage medium such as a ROM (Read Only Memory), a flash memory, or an HDD (Hard Disk Drive), and a volatile storage medium such as a RAM (Random Access Memory) or a register. Will be done. The storage unit 66 stores information such as a program executed by the processor, a processing process executed by each functional unit, and a processing result executed by each functional unit.

The data storage unit 52 includes a first acquisition unit 52A and a second acquisition unit 52B. The first acquisition unit 52A acquires information on the weather transmitted from the aircraft 80, and stores the acquired information (aircraft acquisition information) in the data storage unit 52. The aircraft acquisition information includes one or more pieces of meteorological observation report information or dynamic detection information, and this information includes at least information on the weather. In addition, the first acquisition unit 52A acquires information transmitted from other systems such as the information processing system 4 and the data distribution system 10 that communicate with the support system 20. The second acquisition unit 52B acquires the observation result of the meteorological observation device 30 and stores it in the data storage unit 52 as the meteorological observation information together with the meteorological observation information acquired by the data distribution system 10.

The numerical weather prediction unit 54 uses the numerical weather prediction data distributed by the data distribution system 10 as the initial value, assimilate the meteorological observation information stored in the data storage unit 52 into the prediction model, and obtains consistency with the numerical weather prediction data. , Make weather prediction for a more subdivided three-dimensional grid. Meteorological prediction is a process of predicting the occurrence of a meteorological phenomenon at a predetermined time and the state of the meteorological condition. A more subdivided three-dimensional grid is a three-dimensional grid that is smaller than the three-dimensional grid of the size targeted by the numerical weather prediction data. The three-dimensional grid is a divided area divided by a predetermined width in three directions (for example, east-west (X) direction, north-south (Y) direction, and vertical (Z) direction) around a certain point. The prediction model is, for example, CRESS (Cloud Resolving Storm Simulator) or WRF (the Weather Research & Forecasting model). In addition, the numerical weather prediction calculation unit 26 can derive more detailed information than the information targeted by the numerical weather prediction data.

The information integration unit 56 integrates the aircraft acquisition information acquired from the aircraft 80 and the meteorological observation information acquired from the meteorological observation device 30 stored in the data storage unit 52. Further, the information integration unit 56 determines the current or future weather based on the information stored in the data storage unit 52 or the integrated information, an algorithm for predicting the occurrence of a meteorological phenomenon, an algorithm for predicting the weather condition, and the like. Derive information about conditions and the occurrence of meteorological phenomena.

The risk determination unit 58 derives the risk of a meteorological phenomenon based on the information stored in the data storage unit 52 or the information integrated by the information integration unit 56. Details of the processing of the information integration unit 56 and the risk determination unit 58 will be described later.

The route information derivation unit 60 derives the route of the target aircraft based on the information acquired from other devices such as the information processing system 4. Further, the route information derivation unit 60 derives a route having a relatively low risk and capable of efficiently reaching the destination based on the risk derived by the risk determination unit 58.

The control information calculation unit 62 controls the phased array weather radar 32, the parabolic weather radar 34, or the rider 36 based on the information integration unit 56, the route information derivation unit 60, or the input information. As a result, the area of interest of the above-mentioned device is controlled.

The display information generation unit 64 generates information to be provided to the user based on the processing result of each functional unit. For example, the display information generation unit 64 generates information for displaying an image including the processing result of the information integration unit 56 or the risk determination unit 58 on the display unit 68. The display unit 68 includes, for example, a display device such as an LCD (Liquid Crystal Display) or an organic EL (Electroluminescence) display. An image including information generated by the display information generation unit is displayed on the display unit 68.

FIG. 2 is a flowchart showing a flow of processing executed by the weather information processing apparatus 50. First, the first acquisition unit 52A acquires numerical weather prediction data from the data distribution system 10 (step S100). Next, the first acquisition unit 52A acquires the weather observation information from the data distribution system 10, and the second acquisition unit 52B acquires the weather observation information from the meteorological observation device 30 (step S102). Next, the numerical weather calculation unit 54 executes the weather prediction based on the weather observation information, the numerical weather prediction data, and the prediction model (step S104). The results of the weather forecasts performed may be provided to aircraft 80 and the like.

Next, the first acquisition unit 52A acquires the dynamic detection information from the secondary monitoring radar 12 (step S106). Next, the first acquisition unit 52A acquires the meteorological observation report information transmitted by the data distribution system 10 (step S108). The first acquisition unit 52A may acquire the meteorological observation report information from the air traffic control information processing system 2 or the information processing system 4.

Next, the information integration unit 56 integrates the information acquired in steps S102, S106, and S108 (step S110). The information generated by the information integration unit 56 is an example of "support information". Integration means, for example, associating meteorological observation information with at least one of dynamic detection information or meteorological observation report information for each time, grid, route of aircraft 80, meteorological condition, and meteorological phenomenon. It is to relate. The information integration unit 56, for example, generates an integration table TB that classifies and integrates the acquired information according to the grid and the type of information. FIG. 3 is a diagram showing an example of the integrated table TB. The integrated table TB is, for example, information in which meteorological observation information, dynamic detection information, and meteorological observation report information corresponding to the grid are associated with the grid ID. As a result, the weather information processing device 50 can recognize the weather condition for each grid in detail.

In addition, for integration, for example, three-dimensional image or video information such as reflection intensity, precipitation intensity, wind direction and wind speed obtained from a phased array weather radar 32, etc., and lightning obtained from dynamic detection information, meteorological observation report information, etc. It also includes superimposing information on turbulence, wind shear, icing, etc.

For example, consider a case where it is desired to grasp the weather condition related to lightning around the route of the aircraft 80. In this case, the information integration unit 56 determines the area of the grid where the cumulonimbus clouds exist from the information of the three-dimensional image or the moving image acquired from the phased array weather radar 32 as the meteorological observation information, and the dynamics of the determined cumulonimbus cloud information. Superimpose lightning information obtained from detection information and meteorological observation report information. Then, the display information generation unit 64 causes the display unit 68 to display an image including the integrated information.

FIG. 4 is a diagram showing an example of an image displayed on the display unit 68. In the illustrated example, in the three-dimensional region in the XYZ direction, the region A1 where the grids determined to have cumulonimbus clouds based on the meteorological observation information are gathered, and the lightning obtained based on the dynamic detection information are generated. Area A2 determined to be, and area A3 determined to be generating lightning obtained based on the meteorological observation report information are shown.

In this way, the information obtained by different methods is integrated and provided to the user, so that the user can grasp the lightning situation due to each cumulonimbus cloud and know which cumulonimbus cloud has a high lightning risk in the future. You can make a qualitative judgment. The superimposed information is provided directly to the aircraft 80 via the communication satellite 14 as well as the local aviation bureau, the airline company, and the aviation local meteorological observatory. Further, the control information calculation unit 62 may derive a region to be observed by the phased array weather radar 32 based on the above integration result. As a result, the weather can be observed intensively or effectively by narrowing down the observation target area.

The above is just an example. For example, when it is desired to grasp the weather conditions related to eddy and wind shear, the wind direction and wind speed acquired by the first acquisition unit 52A and the second acquisition unit 52B, which are the determination factors of the above weather phenomenon, are used. It may be superimposed, or if it is desired to grasp the weather conditions related to icing, the temperatures acquired by the first acquisition unit 52A and the second acquisition unit 52B, which are the determination factors for the occurrence of icing, may be superimposed. ..

In addition, the information integration unit 56 may acquire more detailed information than the information acquired by analyzing one or both of the information acquired by the first acquisition unit 52A or the second acquisition unit 52B. , You may generate forecast information about the weather based on the acquired information. In this case, the information integration unit 56 may integrate the analysis results, prediction information, meteorological observation information, numerical weather prediction data, processing results of the numerical weather calculation unit 54, and the like.

Further, the information integration unit 56 may correct the weather observation information based on the aircraft acquisition information and predict the weather condition or the like using the correction result. For example, when the information integration unit 56 has a difference between the temperature included in the aircraft acquisition information in a certain grid and the temperature included in the meteorological observation information, the information integration unit 56 makes the difference into another grid (for example, the aircraft 80 flies after a predetermined time). It is reflected in the temperature included in the meteorological observation information in the route), and based on the reflected result, the weather condition after a predetermined time and the weather condition in the area where the aircraft 80 that provided the aircraft acquisition information is scheduled to travel are predicted. Do. As a result, the information integration unit 56 can provide the user with more accurate information on the weather condition after a predetermined time and the weather phenomenon that occurs after the predetermined time, for example.

Returning to the description of FIG. Next, the risk determination unit 58 derives the risk based on the integration result (step S112). The information generated by the risk determination unit 58 is another example of “support information”. For example, the risk determination unit 58 refers to the integrated table TB and derives the risk of a predetermined meteorological phenomenon for each grid. For example, the risk determination unit 58 integrates an index calculated based on meteorological observation information, an index derived based on dynamic detection information, and an index derived based on meteorological observation report information, and risks that the meteorological phenomenon occurs. Is derived.

More specifically, the risk determination unit 58 multiplies each index by a coefficient set for each index, derives that the risk is high when the result of the multiplication is equal to or greater than the threshold value, and the result of the multiplication. If is less than the threshold, it is derived that the risk is low. For example, the coefficient set for each index is based on the coefficient set for the index derived based on the meteorological observation report information, the coefficient set for the index derived based on the dynamic detection information, and the meteorological observation information. The coefficients are larger in the order of the coefficients set in the derived index. This is because it is estimated that the reliability of the information is high in the order of the information observed by the pilot and the information acquired by the aircraft 80 flying in the target area.

As described above, the risk determination unit 58 derives the risk for the occurrence of the meteorological phenomenon, and assigns the derived risk for each combination of the grid and the meteorological phenomenon to generate the risk table TB1. FIG. 5 is a diagram showing an example of the risk table TB1. The risk table TB1 is information in which, for example, a combination of a grid ID and a meteorological phenomenon is associated with risk information corresponding to the combination. As a result, the meteorological information processing apparatus 50 can recognize the risk of the meteorological phenomenon for each grid.

For example, the above risks include meteorological observation information (for example, reflection intensity, precipitation intensity, wind direction and wind speed, etc.) obtained from a phased array weather radar 32 or the like, and temperature or humidity obtained from dynamic detection information or meteorological observation report information. , Pressure, etc. are combined and derived. For example, when it is desired to grasp the risk of icing, it is generally mentioned that the conditions for icing are that the temperature is about 0 to -10 degrees Celsius and that raindrops and water droplets are present. Therefore, by combining the air temperature distribution around the air route obtained from the dynamic detection information and the reflection intensity distribution obtained from the phased array weather radar 32 and the like, the airspace satisfying the above-mentioned occurrence risk has a high risk of icing, and vice versa. It can be judged that the airspace that does not satisfy the above is low. In addition, the risk may be divided into stages according to the degree of satisfying the condition, and the rank may be derived.

The above is just an example. For example, if you want to understand the risk of eddy and wind shear, the wind direction, wind speed, temperature, etc., and if you want to understand the risk of lightning, the temperature distribution, reflection intensity distribution, etc. are combined as in the case of icing. May be done. In addition, the conditions under which a meteorological phenomenon is considered to have occurred and the threshold value used for determining the conditions may be changed.

Further, the risk determination unit 58 derives a risk by combining the analysis result analyzed by the information integration unit 56, the generated prediction information, the meteorological observation information, the numerical weather prediction data, the processing result of the numerical weather calculation unit 54, and the like. May be good. As a result, the risk determination unit 58 can more accurately provide the user with the risk that the meteorological phenomenon will occur after a predetermined time, for example.

Next, the display information generation unit 64 generates information for displaying the image including the risk information in step S112 on the display unit 68, and causes the display unit 68 to display the image including the generated information (step S114). .. This ends the processing of this flowchart.

The order of each of the above-mentioned processes may be changed. For example, in the above-mentioned example, the numerical weather prediction unit 54 has been described in step S104 as executing the weather prediction based on the meteorological observation information, the numerical weather prediction data, and the prediction model. Instead, the numerical weather prediction calculation is performed. After acquiring the aircraft acquisition information, the unit 54 determines the weather based on the meteorological observation information, the numerical weather prediction data, the prediction model, and the aircraft acquisition information (one or more of the meteorological observation report information or the dynamic detection information). The condition may be analyzed or predicted. Analysis is to clarify the characteristics, trends, patterns, significance, etc. of the target data. By the analysis, detailed information can be obtained as compared with meteorological observation information, numerical weather prediction data, information derived by the prediction model, aircraft acquisition information, and the like. In this case, in step S110, the information integration unit 56 integrates the aircraft acquisition information acquired from the aircraft 80, the meteorological observation information acquired from the meteorological observation device 30, and the information analyzed or predicted by the numerical meteorological calculation unit 54. .. Then, the risk determination unit 58 determines the meteorological phenomenon based on the aircraft acquisition information acquired from the aircraft 80, the meteorological observation information acquired from the meteorological observation device 30, and the information analyzed or predicted by the numerical meteorological calculation unit 54. Derive the risk.

FIG. 6 is a diagram showing another example of the image displayed on the display unit 68. For example, the display unit 68 displays the risks associated with the occurrence of a certain meteorological phenomenon in association with each grid. As shown, the area A11 having a high risk for a certain meteorological phenomenon, the area A12 having a medium risk, and the area A13 having a low risk are recognizablely displayed on the display unit 68.

In addition, the display information generation unit 64 may generate an image including information indicating a risk for each meteorological phenomenon. In this case, the image showing the risk for the occurrence of a meteorological phenomenon displayed on the display unit 68 by the user performing a predetermined operation on the operation unit (not shown) is a risk for the occurrence of another meteorological phenomenon. Switch to the image showing the information showing. The display information generation unit 64 may cut a three-dimensional image or moving image on an arbitrary two-dimensional plane and generate an image so that detailed information can be confirmed. Further, on the image displayed on the display unit 68 of another system such as the air traffic control information processing system 6, for example, these meteorological observation, analysis, prediction, risk information, etc. are superimposed on the control information. May be good. Further, the derived risk information may be provided to the user by being mapped on a map or the like with colors, shades, patterns, etc. attached to each degree of risk.

Further, the information generated by the display information generation unit 64 is provided to the aircraft 80 that is scheduled to enter or fly in the vicinity of the processing target area of the information integration unit 56 or the risk determination unit 58 after a predetermined time. You may. Further, the risk determination unit 58 may provide the aircraft 80 to the area where the risk of a meteorological phenomenon is high, which is scheduled to enter after a predetermined time. The information-provided aircraft 80 can operate based on more accurate weather information.

Further, the information generated by the display information generation unit 64 may be provided to the information processing system 4 or the like. The above information is referred to when determining the flight route before the aircraft 80 takes off. This allows, for example, to avoid operating in high-risk areas or to calculate the amount of fuel required to operate a route to a destination based on predicted weather conditions. it can. By calculating the amount of fuel based on more accurate and predicted weather conditions, it is economical for airlines to store the minimum required fuel in consideration of safety in the aircraft 80. .. The information provided to the aircraft 80 and the information processing system 4 is not limited to the information for displaying an image, but may be information in another format (for example, information for outputting audio).

Generally, meteorological observation information (rainfall and wind direction and speed information) corresponding to the position and altitude information of the aircraft 80 detected by the air traffic control radar is acquired by the system. However, meteorological observation information other than rainfall and wind direction and wind speed information on or around the air route (for example, meteorological factors such as temperature, humidity, pressure, wind direction and wind speed, and meteorological phenomena such as lightning, turbulence, wind shear, and icing. Information) is difficult to obtain, and there may be cases where sufficient observations are not made for safe and efficient operations, or information on risks is not provided to aviation personnel. Furthermore, the information exchanged with the aircraft 80 is limited, and meteorological observation and risk information has not been provided in the form of three-dimensional images or moving images.

On the other hand, the support system 20 of the present embodiment has observation data of the phased array weather radar 32 capable of three-dimensional high-speed scanning and dynamic detection information of the aircraft 80 obtained by the downlink function of the secondary surveillance radar 12. , By combining the pilot reports reported by the captain, etc., to make risk judgments, and by superimposing them on display, we support the safer and optimal operation of aircraft and the efficiency of operational judgments. can do.

In addition, by providing meteorological observation information and risk information to the aircraft 80 (captain) as described above, the captain has multiple cumulonimbus clouds around the aviation route, and when he has no choice but to pass through one of them, which route will be used. It is possible to determine the route after understanding whether the risk of encountering lightning or turbulence is the lowest. Especially in visual flight, if rain, fog, or clouds are present around the airfield or air route, the flight itself will be difficult. Therefore, the support system 20 provides support information to the captain to enable flight and take off and land. It is possible to assist in determining the direction and runway.

In addition, the support system 20 provides support information to the airline company (operation manager, etc.) and the Civil Aviation Bureau (air traffic controller, etc.), so that the aircraft company and the civil aviation bureau give appropriate and prompt control instructions to the captain. Can support the operation of the aircraft 80. For example, in the case of an airline company, when conducting a briefing or providing information to an aircraft 80 during a flight, and in the case of the Civil Aviation Bureau, in particular, takeoff and landing instructions and information are provided to an aircraft 80 in the vicinity of an airfield or directly above. In addition to safe operation, by providing risks and integrated results of each information in "airfield control" and "terminal control" that guides and advises aircraft 80 ascending to the air route / descending to the airfield. Efficient operations such as cost reduction and delay risk reduction can be achieved by the optimum route. In addition, it is possible to provide observation data of the upper atmosphere, which originally has little data and is sparser than the ground, to the Aviation Local Meteorological Observatory and the Japan Meteorological Agency, and can improve the accuracy of meteorological analysis and prediction.

In the above-mentioned example, the support information has been described as being provided to the aircraft 80 and the information processing system 4, but the support information may be applied to the flight simulator. Since the support information is information in which aircraft acquisition information and meteorological observation information are integrated, it is information that reflects the actual weather condition more than the information obtained from the meteorological observation information. Therefore, by applying the support information to the flight simulator, the weather condition that is closer to the actual weather condition is reproduced in the flight simulator.

Further, the function of the display information generation unit 64 described above may be included in another device used by the user. In this case, for example, a three-dimensional image may be generated based on the processing result of the information integration unit 56, or information indicating the risk of a meteorological phenomenon occurring for each grid may be generated based on the processing result of the risk determination unit 58. The program for realizing the functional unit to be performed is stored in another device. As a result, the program is executed in another device and the information is generated based on the support information, so that highly convenient information can be provided to the user.

According to at least one embodiment described above, the first acquisition unit 52A for acquiring the weather information transmitted from the aircraft 80 and the second acquisition unit 52B for acquiring the observation data in which the weather condition is observed on the ground. By having the information on the weather acquired by the first acquisition unit 52A and the information integration unit 56 that integrates the observation data acquired by the second acquisition unit 52B, information highly convenient for the user is provided. can do.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention as well as the invention described in the claims and the equivalent scope thereof.

1 ... Meteorological information processing system, 12 ... Secondary monitoring radar, 52 ... Data storage unit, 52A ... 1st acquisition unit, 52B ... 2nd acquisition unit, 56 ... Information integration unit, 58 ... Risk judgment unit, 64 ... Display information Generation unit, 66 ... Storage unit, 68 ... Display unit, 80 ... Aircraft

Claims (12)

Meteorological information provided by the aircraft crew,
The dynamic information of the aircraft obtained by communicating with the aircraft by the secondary surveillance radar installed on the ground, and
Dynamic detection information indicating the detection result of the equipment installed in the aircraft obtained by the secondary surveillance radar communicating with the aircraft, and
An acquisition unit that acquires observation data , including data observed by a device installed on the ground that observes the state of the weather, which is different from the weather radar .
An information integration unit that integrates the weather information, the dynamic information, the dynamic detection information, and the observation data acquired by the acquisition unit.
Meteorological information processing device equipped with. The observation data further includes data observed by the weather radar and data observed by a device installed on the ground for observing the state of the weather, which is different from the weather radar.
The meteorological information processing device according to claim 1. The device installed on the ground for observing the weather condition, which is different from the weather radar, is a rider, a window profiler, or a device that automatically observes at least one of temperature, wind speed, wind direction, and precipitation. Including,
The weather information processing device according to claim 1 or 2. A display control unit for generating information for displaying an image including information integrated by the information integration unit on the display unit is further provided.
The weather information processing device according to any one of claims 1 to 3. A risk derivation unit for deriving a risk for a meteorological phenomenon based on the information integrated by the information integration unit is further provided.
The weather information processing device according to any one of claims 1 to 3. A display control unit for generating information for displaying an image including a risk for a meteorological phenomenon derived by the risk derivation unit on the display unit is further provided.
The meteorological information processing device according to claim 5. Meteorological information provided by the aircraft crew,
The dynamic information of the aircraft obtained by communicating with the aircraft by the secondary surveillance radar installed on the ground, and
Dynamic detection information indicating the detection result of the equipment installed in the aircraft obtained by the secondary surveillance radar communicating with the aircraft, and
An acquisition unit that acquires observation data , including data observed by a device installed on the ground that observes the state of the weather, which is different from the weather radar .
A meteorological calculation unit that analyzes or predicts the state of the weather based on the weather information, the dynamic information, the dynamic detection information, and the observation data acquired by the acquisition unit.
Meteorological information processing device equipped with. The observation data further includes data observed by the weather radar and data observed by a device installed on the ground for observing the state of the weather, which is different from the weather radar.
The meteorological information processing device according to claim 7. The device installed on the ground for observing the weather condition, which is different from the weather radar, is a rider, a window profiler, or a device that automatically observes at least one of temperature, wind speed, wind direction, and precipitation. Including
An information integration unit that integrates the information acquired by the acquisition unit and the information analyzed or predicted by the meteorological calculation unit is further provided.
The weather information processing device according to claim 7 or 8. Information about weather obtained by the obtaining unit, based on an analysis or prediction information by the previous SL weather calculating unit, the risk deriving unit that derives a risk to weather phenomena, further comprising,
The weather information processing device according to any one of claims 7 to 9 . The computer
Meteorological information provided by the aircraft crew,
The dynamic information of the aircraft obtained by communicating with the aircraft by the secondary surveillance radar installed on the ground, and
Dynamic detection information indicating the detection result of the equipment installed in the aircraft obtained by the secondary surveillance radar communicating with the aircraft, and
Acquires observation data including data observed by a device installed on the ground and observing the state of the weather, which is different from the weather radar .
The acquired information on the weather, the dynamic information, the dynamic detection information, and the observation data are integrated.
Meteorological information processing method. On the computer
Meteorological information provided by the aircraft crew,
The dynamic information of the aircraft obtained by communicating with the aircraft by the secondary surveillance radar installed on the ground, and
Dynamic detection information indicating the detection result of the equipment installed in the aircraft obtained by the secondary surveillance radar communicating with the aircraft, and
Observation data including data observed by a device installed on the ground and observing the state of the weather, which is different from the weather radar, is acquired.
The acquired information on the weather, the dynamic information, to integrate dynamic detection information, and the observation data,
program.

Images