JP2018120553A - Weather information processing apparatus, weather information processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a weather information processing apparatus, a weather information processing method, and a program that can provide highly convenient information to a user.SOLUTION: A weather information processing apparatus according to an embodiment has a first acquisition unit, a second acquisition unit, and an information integration unit. The first acquisition unit acquires information on weather transmitted from an aircraft. The second acquisition unit acquires observation data on which a state of a weather is observed on the ground. The information integrating unit integrates the information on the weather acquired by the first acquisition unit with the observation data acquired by the second acquisition unit.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to a weather information processing apparatus, a weather information processing method, and a program.

  The impact of various weather phenomena such as turbulence and lightning on the operation of airplanes is significant. For this reason, a system that provides information on individual weather phenomena with the aim of safe navigation has been known. However, there are cases where information that is highly convenient for the user cannot be provided.

JP 2003-67900 A JP 2009-192262 A JP 2012-181041 A

  The problem to be solved by the present invention is to provide a weather information processing apparatus, a weather information processing method, and a program capable of providing information that is highly convenient for the user.

  The weather information processing apparatus of the embodiment includes a first acquisition unit, a second acquisition unit, and an information integration unit. A 1st acquisition part acquires the information regarding the weather transmitted from the aircraft. The second acquisition unit acquires observation data in which a weather condition is observed on the ground. The information integration unit integrates the information on the weather acquired by the first acquisition unit and the observation data acquired by the second acquisition unit.

The figure which shows the function structure of the weather information processing system 1. The flowchart which shows the flow of the process performed by the weather information processing apparatus 50. FIG. The figure which shows an example of integrated table TB. FIG. 6 is a diagram showing an example of an image displayed on a display unit 68. The figure which shows an example of risk table TB1. FIG. 14 is a diagram showing another example of an image displayed on the display unit 68.

  Hereinafter, a weather information processing apparatus, a weather information processing method, and a program according to embodiments will be described with reference to the drawings.

  FIG. 1 is a diagram illustrating a functional configuration of the weather information processing system 1. The weather information processing system 1 including the weather 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, one or more data distribution systems 10, and one or more support systems 20 are provided. These systems communicate with each other via a network such as a LAN (Local Area Network), a WAN (Wide Area Network), and the Internet. In addition, these systems transmit / receive information to / from other aircraft as well as the illustrated aircraft 80. In the illustrated example, the input to the support system is indicated by a dotted line, and the output by the support system is indicated by a solid line.

[Systems other than support systems]
The air traffic control information processing system 2 is a system managed by the air station, 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 weather observation report information is information related to the weather reported by the crew of the aircraft 80, and is, for example, a pilot report (PIREP; Pilot Report) reported by the captain. This weather observation report information may be, for example, information in which weather-related information (for example, information indicating the occurrence of turbulence) is input as sound to a microphone or the like. The information entered may be used. 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.

  In addition, 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).

  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 aviation weather information is information relating to 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, and is a system that manages an operation plan of the aircraft 80 and supports safe operation and scheduled operation of the aircraft 80. The information processing system 4 acquires support information from the support system 20. The information processing system 4 acquires weather observation report information from the aircraft 80 using wireless communication, and provides the acquired information to the aviation weather information providing system 6 and the support system 20. 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 an aviation regional meteorological observatory provided in an airport, and observes the weather conditions of the target area including the airport, the airport periphery, the air route, etc. It is a system that provides information related to aviation (aviation weather information) to aviation personnel. Further, the aviation weather information providing system 6 acquires support information from the support system 20. The aviation weather information providing system 6 provides the weather observation report information and the aviation weather information acquired from the air traffic control information processing system 2 or the information processing system 4 to the weather data integrated processing system 8.

  The meteorological data integrated processing system 8 is a system managed by an organization having jurisdiction over weather work in a national or local government. The weather data integrated processing system 8 manages the weather observation report information and the aviation weather information acquired from the aviation weather information providing system 6. Further, the meteorological material integrated processing system 8 manages weather observation information acquired from various server devices (not shown), weather radar devices (not shown), and the like. The weather observation information is observation data obtained by observing the weather condition on the ground. The meteorological data integrated processing system 8 provides the data distribution system 10 with managed weather observation report information, aviation weather information, and weather observation information.

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

  The data distribution system 10 is a system managed by an organization that supports a business operator or an organization that performs weather work. The data distribution system 10 distributes aviation weather information, weather observation report information, weather observation information, and numerical forecast data to the support system 20.

  The secondary monitoring radar 12 is a device provided on the ground, and is used to download information on aircraft dynamics acquired from the aircraft 80, information indicating detection results of devices (for example, sensors) provided on the aircraft 80, and the like. Information obtained by using the function and information indicating the obtained dynamic information or detection result is provided to the support system 20. The dynamic information is information related to the aircraft such as the magnetic orientation, airspeed, ground speed, lift rate, turning rate, roll angle, and selected altitude of the aircraft 80. The information indicating the detection result is, for example, a detection result of a device provided in the aircraft 80 such as air temperature, atmospheric pressure, and humidity. A 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 monitoring radar 12 provides the support information acquired from the support system 20 to the aircraft 80.

  The communication satellite 14 acquires 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 weather observation device 30 and a weather information processing device 50.

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

  The phased array weather radar 32 is, for example, a weather radar that observes the state of the atmosphere 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 having a plurality of antenna elements and capable of electronically changing the directivity angle. The phased array weather radar 32 rotates the antenna in the horizontal direction while electronically scanning the elevation angle direction, thereby observing the three-dimensional state of the atmosphere at high speed.

  The parabolic weather radar 34 is a weather radar that observes the state of the atmosphere including, for example, rain and snow, on the ground, like the phased array weather radar 32. The parabolic weather radar 34 includes a parabolic antenna, and mechanically rotates the parabolic antenna, thereby observing the atmospheric state in the direction in which the parabolic antenna faces.

  The lidar 36 emits a laser beam from the ground to the sky, and derives a change in the Doppler frequency based on the result of receiving the scattered light generated by the emitted laser beam hitting fine particles (aerosol) in the atmosphere. By doing so, the wind speed and direction of the area 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 wind speed in the sky based on the result of receiving the radio waves scattered and returned due to wind turbulence in the atmosphere.

  The sonde 40 includes a sensor that measures meteorological elements such as atmospheric pressure, temperature, and humidity, and includes a wireless transmitter for transmitting the measured information. The sonde 40 is, for example, blown from the ground to the sky (approximately 30 km) 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 weather 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 terrestrial meteorological observation device 44 is provided on the ground, automatically performs meteorological observations such as temperature, humidity, wind direction, wind speed, and precipitation, and provides 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 apparatus 50. In addition, the camera 46 may include an analysis unit that analyzes a captured image and analyzes a weather state of a region where the image is captured. In this case, the camera 46 may provide the weather information processing apparatus 50 with the analysis result (meteorological state) of the analysis unit.

[Meteorological information processing equipment]
The weather information processing apparatus 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 a processor such as a CPU (Central Processing Unit). May be realized by executing a program stored in the storage unit 66. All or some of these functional units are realized by hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), and the like. A circuit configuration for realizing the function may be provided. These functional units may be realized by cooperation of software and hardware.

  The storage unit 66 is realized by a nonvolatile storage medium such as a ROM (Read Only Memory), a flash memory, and an HDD (Hard Disk Drive), and a volatile storage medium such as a RAM (Random Access Memory) and a register. Is 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 52 </ b> A acquires information related to 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 information of weather observation report information or movement detection information, and this information includes at least information related to the weather. The first acquisition unit 52 </ b> A 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 weather observation device 30, and stores it in the data storage unit 52 as the weather observation information together with the weather observation information acquired by the data distribution system 10.

  The numerical weather calculation unit 54 uses the numerical forecast data distributed by the data distribution system 10 as an initial value, and assimilates the weather observation information stored in the data storage unit 52 into a prediction model to obtain consistency with the numerical forecast data. Make weather forecasts for a more detailed 3D grid. The weather prediction is a process for predicting the occurrence of a weather phenomenon at a predetermined time and the state of the weather. The more detailed three-dimensional grid is a three-dimensional grid that is smaller than the three-dimensional grid of the size targeted by the numerical forecast data. The three-dimensional grid is a divided region divided by a predetermined width in three directions (for example, east-west (X) direction, north-south (Y) direction, 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). Further, the numerical weather prediction calculation unit 26 can derive more detailed information than the information targeted by the numerical weather forecast data.

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

  The risk determination unit 58 derives a risk of occurrence of a meteorological phenomenon based on information stored in the data storage unit 52 or 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 deriving unit 60 derives the route of the target aircraft based on information acquired from another device such as the information processing system 4. Further, the route information deriving unit 60 derives a route that is relatively low in risk and can reach the destination efficiently based on the risk derived by the risk determining unit 58.

  The control information calculation unit 62 controls the phased array weather radar 32, the parabolic weather radar 34, or the lidar 36 based on the information integration unit 56, the route information deriving unit 60, or the input information. Thereby, the area | region which said apparatus pays attention 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 causing the display unit 68 to display an image including the processing result of the information integration unit 56 or the risk determination unit 58. The display unit 68 includes a display device such as an LCD (Liquid Crystal Display) or an organic EL (Electroluminescence) display. The display unit 68 displays an image including information generated by the display information generation unit.

  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 forecast data from the data distribution system 10 (step S100). Next, the first acquisition unit 52A acquires weather observation information from the data distribution system 10, and the second acquisition unit 52B acquires weather observation information from the weather observation device 30 (step S102). Next, the numerical weather calculation unit 54 executes weather prediction based on the weather observation information, numerical prediction data, and the prediction model (step S104). The result of the executed weather forecast may be provided to the aircraft 80 or the like.

  Next, the first acquisition unit 52A acquires movement detection information from the secondary monitoring radar 12 (step S106). Next, the first acquisition unit 52A acquires the weather observation report information transmitted by the data distribution system 10 (step S108). Note that the first acquisition unit 52A may acquire weather 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 step S102, step S106, and step S108 (step S110). The information generated by the information integration unit 56 is an example of “support information”. Integration refers to, for example, associating weather observation information with at least one of movement detection information or weather observation report information for each time, grid, route of aircraft 80, weather condition, and weather phenomenon, It is related. For example, the information integration unit 56 generates an integrated table TB in which the acquired information is classified and integrated for each grid and information type. FIG. 3 is a diagram illustrating an example of the integration table TB. The integrated table TB is information in which, for example, weather observation information, movement detection information, and weather observation report information corresponding to the grid are associated with the grid ID. Thereby, the weather information processing apparatus 50 can recognize the weather condition for every grid in detail.

  For integration, for example, information on three-dimensional images or moving images such as reflection intensity, precipitation intensity, wind direction and wind speed obtained from the phased array weather radar 32 or the like, lightning obtained from dynamic detection information, weather observation report information, etc. It also includes the superimposition of information such as turbulence, wind shear, and icing.

  For example, consider a case in which it is desired to grasp the weather conditions related to lightning around the route of the aircraft 80. In this case, the information integration unit 56 determines the grid region where the cumulonimbus cloud exists from the information of the three-dimensional image or the moving image acquired from the phased array weather radar 32 as the weather observation information, and the dynamic information is determined for the determined cumulonimbus cloud information. Superimpose lightning information obtained from detection information and weather 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 illustrating an example of an image displayed on the display unit 68. In the illustrated example, in a three-dimensional region in the XYZ directions, a region A1 in which grids determined to have cumulonimbus clouds based on weather observation information and a lightning obtained based on dynamic detection information are generated. A region A2 determined as, and a region A3 determined as the occurrence of lightning obtained based on the weather observation report information.

  In this way, the information obtained by different methods is integrated and provided to the user, so that the user can grasp the thunderstorm situation due to each cumulonimbus cloud and determine which cumulonimbus has a higher risk of lightning in the future. It can be qualitatively judged. The superimposed information is provided directly to the aircraft 80 via the communication satellite 14 as well as the local air station, airline, and aviation regional weather station. Further, the control information calculation unit 62 may derive a region to be observed by the phased array weather radar 32 based on the integration result. As a result, it is possible to observe the weather intensively or effectively by narrowing down the region to be observed.

  The above is merely an example. For example, when it is desired to grasp the weather conditions related to turbulence 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-described weather phenomenon, are used. If the weather conditions related to icing may be grasped, the temperatures acquired by the first acquisition unit 52A and the second acquisition unit 52B, which are determination factors for occurrence of icing, may be superimposed. .

  In addition, the information integration unit 56 acquires more detailed information than information acquired by analyzing one or both of the information acquired by the first acquisition unit 52A or the second acquisition unit 52B. The forecast information related to the weather may be generated based on the acquired information. In this case, the information integration unit 56 may combine these information by combining analysis results, prediction information, weather observation information, numerical forecast 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 there is a difference between the temperature included in the aircraft acquisition information in a certain grid and the temperature included in the weather observation information, the information integration unit 56 uses the difference to the other grid (for example, the aircraft 80 flies after a predetermined time). On the route that is included in the meteorological observation information, and based on the reflection result, predict the meteorological condition after a predetermined time, the meteorological condition of the area where the aircraft 80 that provided the aircraft acquisition information will travel, etc. Do. As a result, the information integration unit 56 can provide the user with more accurate information on weather conditions after a predetermined time and weather phenomena occurring after the predetermined time, for example.

  Returning to the description of FIG. Next, the risk determination unit 58 derives a 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 a risk of occurrence of a predetermined weather phenomenon for each grid. For example, the risk determination unit 58 integrates the index calculated based on the weather observation information, the index derived based on the movement detection information, and the index derived based on the weather observation report information, and the risk that the weather phenomenon occurs Is derived.

  More specifically, the risk determination unit 58 multiplies each index by a coefficient set for each index, and derives that the risk is high when the multiplication result is equal to or greater than a threshold, and the result of multiplication 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 weather observation report information, the coefficient set for the index derived based on the dynamic detection information, and the weather observation information. Large 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 a risk for occurrence of a weather phenomenon, and generates the risk table TB1 by assigning the derived risk for each combination of the grid and the weather phenomenon. FIG. 5 is a diagram illustrating an example of the risk table TB1. The risk table TB1 is information in which risk information corresponding to a combination of a grid ID and a weather phenomenon is associated with the combination, for example. Thereby, the weather information processing apparatus 50 can recognize the risk with respect to the weather phenomenon for every grid.

  For example, the above risk may be the temperature or humidity obtained from meteorological observation information (for example, reflection intensity, precipitation intensity, wind direction, wind speed, etc.) obtained from the phased array weather radar 32, etc., dynamic detection information, weather observation report information, etc. In combination with information such as atmospheric pressure. For example, when it is desired to grasp the risk of icing, the icing conditions generally include that the temperature is about 0 to minus 10 degrees and that there are raindrops and waterdrops. For this reason, by combining the temperature distribution around the air route obtained from the movement detection information and the reflection intensity distribution obtained from the phased array weather radar 32, etc., the airspace satisfying the above occurrence condition has a high risk of icing, It can be judged that the airspace that does not satisfy is low. It should be noted that the rank may be derived by grading the risk to a degree satisfying the condition.

  The above is just an example.For example, if you want to understand the risk of turbulence and wind shear, you can use the wind speed and temperature, etc. May be. In addition, the condition that the weather phenomenon is considered to have occurred and the threshold value used for the determination may be changed.

  The risk determination unit 58 derives a risk by combining the analysis result analyzed by the information integration unit 56, the generated prediction information, weather observation information, numerical forecast data, the processing result of the numerical weather calculation unit 54, and the like. Also good. From this, the risk determination part 58 can provide a user with a more accurate risk that a weather phenomenon will occur after a predetermined time, for example.

  Next, the display information generation unit 64 generates information for causing the display unit 68 to display an image including risk information in step S112, and causes the display unit 68 to display an image including the generated information (step S114). . Thereby, the processing of this flowchart is completed.

  In addition, the order of each process mentioned above may be changed. For example, in the above-described example, the numerical weather calculation unit 54 has been described as executing the weather prediction based on the weather observation information, the numerical prediction data, and the prediction model in step S104. After acquiring the aircraft acquisition information, the unit 54 calculates the meteorological information based on the meteorological observation information, the numerical forecast data, the prediction model, and the aircraft acquisition information (one or more of the meteorological observation report information or the dynamic detection information). The state may be analyzed or predicted. Analysis is to clarify the characteristics, trends, patterns, significance, etc. from the target data. Through analysis, detailed information can be obtained as compared with weather observation information, numerical forecast data, information derived from a 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 weather observation information acquired from the weather observation device 30, and the information analyzed or predicted by the numerical weather calculation unit 54. . Then, the risk determination unit 58 responds to the weather phenomenon based on the aircraft acquisition information acquired from the aircraft 80, the weather observation information acquired from the weather observation device 30, and the information analyzed or predicted by the numerical weather calculation unit 54. Deriving risk.

  FIG. 6 is a diagram illustrating another example of an image displayed on the display unit 68. For example, the risk for the occurrence of a certain weather phenomenon is displayed on the display unit 68 in association with each grid. As shown in the drawing, a region A11 having a high risk for a certain weather phenomenon, a region A12 having a medium risk, and a region A13 having a low risk are displayed on the display unit 68 so as to be recognizable.

  Further, the display information generation unit 64 may generate an image including information indicating a risk for occurrence of each weather phenomenon. In this case, when the user performs a predetermined operation on the operation unit (not shown), the image showing the risk for the occurrence of the meteorological phenomenon displayed on the display unit 68 is the risk for the occurrence of another meteorological phenomenon. It switches to the image which shows the information which shows. The display information generation unit 64 may generate an image so that detailed information can be confirmed by cutting a three-dimensional image or moving image with an arbitrary two-dimensional plane. Further, for example, the weather observation, analysis, prediction, risk information, etc. are superimposed on the control information on the image displayed on the display unit 68 of another system such as the air traffic control information processing system 6. Also good. The derived risk information may be provided to the user after being mapped on a map or the like with a color, shading, pattern, or the like for each degree of risk.

  Further, the information generated by the display information generation unit 64 is provided to an aircraft 80 that is scheduled to enter the area targeted for processing by the information integration unit 56 or the risk determination unit 58 after a predetermined time or to fly around the area. May be. Alternatively, the risk determination unit 58 may provide the aircraft 80 scheduled to enter a predetermined time after entering a region where a risk of occurrence of a weather phenomenon is high. The aircraft 80 to which the information is provided can be operated based on information on weather with higher accuracy.

  Further, the information generated in 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 an operation route is determined before the aircraft 80 takes off. This can avoid, for example, operating a high-risk area or calculate the amount of fuel required when operating a route to a destination based on predicted weather conditions. it can. By calculating the amount of fuel based on more accurate predicted weather conditions, it is economical for airlines because the minimum required fuel with safety can be stored in the aircraft 80. . Note that the information provided to the aircraft 80 and the information processing system 4 is not limited to information for displaying an image, but may be information in another format (for example, information for outputting sound).

  Generally, meteorological observation information (rainfall, wind direction and wind 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 wind speed information in the air route or around the air route (for example, meteorological factors such as temperature, humidity, barometric pressure, wind direction wind speed, etc.) Information) is difficult to obtain, and there are cases where sufficient observations have not been made for safe and efficient operation, or risk information is not provided to aviation personnel. Furthermore, information exchanged with the aircraft 80 is limited, and meteorological observation and risk information have 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 the observation data of the phased array weather radar 32 capable of three-dimensional high-speed scanning, and the movement detection information of the aircraft 80 obtained by the downlink function of the secondary monitoring radar 12. By combining the pilot reports reported by the PIC, etc., and making judgments on risks and displaying them in a superimposed manner, the aircraft supports safer and more optimal operations and more efficient operation decisions. can do.

  Also, by providing meteorological observation information and risk information to the aircraft 80 (captain) as described above, the captain has a plurality of cumulonimbus clouds around the air route, and when it is forced to pass any of which routes, The route can be determined after knowing whether the risk of lightning or turbulent encounter is the lowest. In particular, in visual flight, if rain, fog, or clouds are present in the vicinity of the airfield or air route, the flight itself becomes difficult. Therefore, the support system 20 provides support information to the captain to determine whether flight is possible and take off and landing. Judgment support for direction and runway determination can be provided.

  In addition, the support system 20 provides support information to airlines (operation managers, etc.) and air stations (air traffic controllers, etc.), so that the airlines and air stations can provide the captain with appropriate and prompt control instructions. To support the operation of the aircraft 80. For example, in the case of an airline company, when briefing is performed or when information is provided to the aircraft 80 in flight, and in the case of an air station, a takeoff / landing instruction or information is provided to the aircraft 80 in the vicinity of the airport or directly above. In the “Airport Control” and “Terminal Control” that guides and advises the aircraft 80 ascending to the airway / descending to the airfield, by providing the risk and integrated results of each information, in addition to safe operation, Efficient operation such as cost reduction and reduction of delay risk can be achieved by the optimal route. In addition, the aviation regional meteorological observatory and the Japan Meteorological Agency can provide observation data of the upper atmosphere, which is originally less data and sparse compared to the ground, and can improve the accuracy of weather analysis and prediction.

  In the above-described example, the support information has been described as being provided to the aircraft 80 or the information processing system 4, but the support information may be applied to a flight simulator. Since the support information is information obtained by integrating the aircraft acquisition information and the weather observation information, the support information is information in which an actual weather state is reflected more than information obtained from the weather observation information. For this reason, when the support information is applied to the flight simulator, the weather condition approximated to the actual weather condition is reproduced in the flight simulator.

  Moreover, 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 is generated based on the processing result of the information integration unit 56, or information indicating the risk of occurrence of a weather phenomenon for each grid is generated based on the processing result of the risk determination unit 58. A program for realizing the functional unit is stored in another device. Thereby, the program is executed in another device, and 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 that acquires information on the weather transmitted from the aircraft 80 and the second acquisition unit 52B that acquires observation data in which the state of the weather is observed on the ground. And the information integration unit 56 that integrates the weather information acquired by the first acquisition unit 52A and the observation data acquired by the second acquisition unit 52B, thereby providing highly convenient information for the user can do.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example 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 spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 ... Weather information processing system, 12 ... Secondary monitoring radar, 52 ... Data storage part, 52A ... 1st acquisition part, 52B ... 2nd acquisition part, 56 ... Information integration part, 58 ... Risk judgment part, 64 ... Display information Generation unit, 66 ... storage unit, 68 ... display unit, 80 ... aircraft

Claims (10)

A first acquisition unit for acquiring information on weather transmitted from the aircraft;
A second acquisition unit for acquiring observation data in which a weather condition is observed on the ground;
An information integration unit that integrates the weather-related information acquired by the first acquisition unit and the observation data acquired by the second acquisition unit;
A weather information processing apparatus. The weather-related information includes at least one of information acquired by a device provided in the aircraft and information input by a passenger of the aircraft.
The weather information processing apparatus according to claim 1. A display control unit that generates information for displaying an image including information integrated by the information integration unit on a display unit;
The weather information processing apparatus according to claim 1 or 2. Based on the information integrated by the information integration unit, further comprising a risk deriving unit for deriving a risk for weather phenomena,
The weather information processing apparatus according to claim 1 or 2. A display control unit that generates information for causing the display unit to display an image including a risk for the weather phenomenon derived by the risk deriving unit;
The weather information processing apparatus according to claim 4. A first acquisition unit for acquiring information on weather transmitted from the aircraft;
A second acquisition unit for acquiring observation data in which a weather condition is observed on the ground;
A weather calculation unit that analyzes or predicts the state of the weather based on the information about the weather acquired by the first acquisition unit and the observation data acquired by the second acquisition unit;
A weather information processing apparatus. An information integration unit that integrates information related to the weather acquired by the first acquisition unit, observation data acquired by the second acquisition unit, and information analyzed or predicted by the weather calculation unit;
The weather information processing apparatus according to claim 6. A risk for a weather phenomenon is derived based on the weather-related information acquired by the first acquisition unit, the observation data acquired by the second acquisition unit, and the information analyzed or predicted by the weather calculation unit. A risk deriving unit;
The weather information processing apparatus according to claim 6 or 7. Computer
Get information about the weather sent from the aircraft,
Acquire observation data of meteorological conditions on the ground,
Integrating the acquired weather information and the acquired observation data;
Weather information processing method. On the computer,
Get information about the weather sent from the aircraft,
Get the observation data that the weather condition was observed on the ground,
Integrating the acquired weather information and the acquired observation data;
program.

Images