Method, system, device and medium for weather display alerting for aircraft navigation

Abstract

The present application relates to the technical field of aviation meteorological support, and provides a meteorological display and alarm method, system, device and medium for aircraft navigation, which comprises receiving an aircraft route plan and collecting numerical weather forecasts of each place at the takeoff time of the aircraft; extracting wind speed, temperature, relative humidity, liquid water content and cloud droplet particle number density, and calculating the horizontal visibility, aircraft icing index, total cloud cover and aircraft turbulence index at the forecast time through adaptive attenuation interpolation based on feature perception; constructing an information box and a floating box of the route points on the aircraft route map; and performing meteorological display and alarm for aircraft navigation through the information box and the floating box according to the aircraft route plan. The present application uses regional meteorological forecast results to form meteorological forecast results for flight routes, can intuitively display the comprehensive meteorology on the route and form an alarm prompt, reduces the risk of information omission, increases the safety margin, and reduces the meteorological information processing workload of flight support personnel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aviation meteorological support, and in particular to a meteorological display and warning method, system, device and medium for aircraft navigation. BACKGROUND

[0002] Aviation safety is always the core bottom line of the aviation industry, and meteorological conditions, as a key variable affecting aviation safety, have a restrictive effect throughout the entire flight process (takeoff, climb, cruise, descent, and landing). Lightly, it may cause flight delays, diversions, or cancellations, and heavily, it may cause aircraft loss of control, structural damage, or even fatal accidents. As pilots and air traffic control personnel, they need to have basic meteorological knowledge, obtain meteorological data such as surface weather charts, upper-level isobaric charts, and satellite cloud images, and master the current weather of the flight area and estimate the general trend of weather changes. However, the traditional aviation meteorological support mode has obvious limitations and cannot fully adapt to the refinement and dynamic needs of modern aviation operations. On the one hand, traditional meteorological data are mainly based on "general regional forecasts", lacking "customized information" for specific routes. For example, a cross-regional route may cover multiple meteorological forecast areas, and the weather conditions (such as cloud height, turbulence probability, and icing risk) of different segments are significantly different, but traditional data often only provide "overall weather conditions in the region", and the crew needs to integrate multiple data and judge the risk of each segment, which not only increases the workload, but also may lead to misjudgment due to information integration bias. On the other hand, the "interpretation threshold is high and the display form is single", and the crew's energy is highly concentrated during flight, and the interpretation of complex charts is time-consuming and labor-intensive; at the same time, these data are presented in the form of static images or text reports, lacking real-time dynamic updates and risk level labels, and it is difficult to intuitively reflect the "trend of weather systems", making it difficult for the crew to predict weather risks in subsequent segments in advance. SUMMARY

[0003] The present application aims to at least solve one of the technical problems in the related art. To this end, the present application provides a meteorological display and warning method, system, device and medium for aircraft navigation, which uses regional meteorological forecast results to form meteorological forecast results for flight routes, can intuitively display the comprehensive meteorological conditions on the route, and form warning prompts, reducing the risk of information omission, increasing the safety margin, and reducing the meteorological information processing workload of flight support personnel.

[0004] The present application provides a meteorological display and warning method for aircraft navigation, comprising:

[0005] S1: receiving a flight route plan and collecting numerical weather forecasts for each ground station at the takeoff time of the aircraft; extracting wind speed, temperature, relative humidity, liquid water content, and cloud droplet particle density from the numerical weather forecasts;

[0006] S2: extracting liquid water content and cloud droplet number density of two adjacent time points before and after the forecast time, calculating horizontal visibility of two adjacent time points before and after the forecast time according to the liquid water content and the cloud droplet number density, calculating horizontal visibility of the forecast time through feature-aware adaptive attenuation interpolation according to horizontal visibility of two adjacent time points before and after the forecast time;

[0007] S3: extracting relative humidity and temperature of two adjacent time points before and after the forecast time, calculating aircraft icing index of two adjacent time points before and after the forecast time according to the relative humidity and the temperature, calculating aircraft icing index of the forecast time through feature-aware adaptive attenuation interpolation according to aircraft icing index of two adjacent time points before and after the forecast time;

[0008] calculating total cloud cover of two adjacent time points before and after the forecast time according to the relative humidity, calculating total cloud cover of the forecast time through feature-aware adaptive attenuation interpolation according to total cloud cover of two adjacent time points before and after the forecast time;

[0009] S4: extracting wind speed of two adjacent time points before and after the forecast time, calculating aircraft bumping index of two adjacent time points before and after the forecast time according to the wind speed, calculating aircraft bumping index of the forecast time through feature-aware adaptive attenuation interpolation according to aircraft bumping index of two adjacent time points before and after the forecast time;

[0010] S5: constructing information box of route point on the aircraft route map according to wind speed, total cloud cover of the forecast time, aircraft bumping index of the forecast time and aircraft icing index of the forecast time, constructing suspension box of route point on the aircraft route map according to horizontal visibility;

[0011] S6: conducting weather display warning of aircraft navigation through the information box and the suspension box according to the aircraft route plan.

[0012] Further, the aircraft route plan includes expected time, expected position and expected flight height.

[0013] Further, the feature-aware adaptive attenuation interpolation includes:

[0014] selecting local grid points with the target point P as the center;

[0015] calculating feature strength of the grid points and feature direction of the grid points;

[0016] calculating Euclidean distance of the grid points and the target point, calculating direction-aware distance of the grid points and the target point according to the Euclidean distance of the grid points and the target point and the feature direction of the grid points;

[0017] calculating adaptive weight according to the direction-aware distance of the grid points and the target point and the feature strength of the grid points;

[0018] calculating target point value according to the adaptive weight and grid point data.

[0019] Furthermore, calculating the orientation-aware distance between grid points and the target point includes:

[0020] Calculate the Euclidean distance between the grid points and the target point;

[0021] If the target point is in the characteristic direction of the grid point, then the Euclidean distance is the direction-aware distance between the grid point and the target point;

[0022] If the target point is perpendicular to the feature direction of the grid point, then the direction-aware distance between the grid point and the target point is:

[0023]

[0024] in, For the first Directional sensing distance between grid points and target point For the first The Euclidean distance between each grid point and the target point For direction sensitivity parameters, For the first The direction of the line connecting each grid point and the target point For the first The characteristic orientation of each grid point.

[0025] Furthermore, the formula for calculating the adaptive weights is:

[0026]

[0027] in, For the first Adaptive weights for each grid point For the first Directional sensing distance between grid points and target point For the first The feature intensity of each grid point For the first Directional sensing distance between grid points and target point For the first The feature intensity of each grid point This represents the number of grid points.

[0028] Furthermore, step S5 includes:

[0029] S51: Aircraft flight path diagrams use lines to show the flight path of an aircraft.

[0030] S52: Click on the flight path point on the flight path map to display an information box in the lower right corner of the flight path map. The information box displays wind speed, total cloud cover, aircraft turbulence index, and aircraft icing index. The information box includes a circular frame.

[0031] S53: constructing a suspension box of the route point on the aircraft route map, and displaying the wind speed, total cloud amount, aircraft pitching index, aircraft icing index and horizontal visibility in the suspension box.

[0032] Further, the wind speed, total cloud amount, aircraft pitching index and aircraft icing index are normalized;

[0033] According to the normalized result, the sorting is performed from large to small;

[0034] According to the sorting, the wind speed, total cloud amount, aircraft pitching index and aircraft icing index are sequentially placed in the upper left, upper right, lower left and lower right of the information box.

[0035] The application also provides a weather display warning system for aircraft navigation, which is used to execute the weather display warning method for aircraft navigation.

[0036] The collecting module receives the aircraft route plan and collects each ground numerical weather forecast issued at the take-off time of the aircraft; the wind speed, temperature, relative humidity, liquid water content and cloud droplet particle density are extracted from the numerical weather forecast;

[0037] The first calculating module extracts the liquid water content and cloud droplet particle density of two adjacent time points before and after the forecast time, calculates the horizontal visibility of the two adjacent time points before and after the forecast time according to the liquid water content and cloud droplet particle density, and calculates the horizontal visibility of the forecast time through the adaptive attenuation interpolation of feature perception according to the horizontal visibility of the two adjacent time points before and after the forecast time;

[0038] The second calculating module extracts the relative humidity and temperature of two adjacent time points before and after the forecast time, calculates the aircraft icing index of the two adjacent time points before and after the forecast time according to the relative humidity and temperature, and calculates the aircraft icing index of the forecast time through the adaptive attenuation interpolation of feature perception according to the aircraft icing index of the two adjacent time points before and after the forecast time;

[0039] The total cloud amount of the two adjacent time points before and after the forecast time is calculated according to the relative humidity, and the total cloud amount of the forecast time is calculated through the adaptive attenuation interpolation of feature perception according to the total cloud amount of the two adjacent time points before and after the forecast time;

[0040] The third calculating module extracts the wind speed of two adjacent time points before and after the forecast time, calculates the aircraft pitching index of the two adjacent time points before and after the forecast time according to the wind speed, and calculates the aircraft pitching index of the forecast time through the adaptive attenuation interpolation of feature perception according to the aircraft pitching index of the two adjacent time points before and after the forecast time;

[0041] The constructing module constructs an information box of a route point on the aircraft route map according to a wind speed, a total cloud amount at a forecast time, an aircraft bump index at the forecast time, and an aircraft icing index at the forecast time, and constructs a floating box of the route point on the aircraft route map according to a horizontal visibility;

[0042] The display alarm module displays a weather alarm of aircraft navigation according to the aircraft route plan through the information box and the floating box.

[0043] The present application also provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned weather display alarm method for aircraft navigation when executing the program.

[0044] The present application also provides a non-transitory computer readable storage medium, which stores a computer program, wherein the computer program is executable on a processor to implement the steps of the above-mentioned weather display alarm method for aircraft navigation.

[0045] The above-mentioned one or more technical solutions in the embodiments of the present application have at least one of the following technical effects:

[0046] The present application solves the pain points of poor adaptability, difficult interpretation and low efficiency of the traditional regional weather forecast, reduces the risk of information omission and misjudgment from the technical level, improves the safety margin and guarantee efficiency from the management level, realizes the transformation of aviation weather guarantee from passive following to active leading, and provides key support for aviation safety operation.

[0047] Additional aspects and advantages of the present application will be given in part in the following description, some will become apparent from the following description, or will be understood by those skilled in the art through practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the present application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0049] Figure 1 is a flowchart of a weather display alarm method for aircraft navigation provided by the present application.

[0050] Figure 2 is a structural schematic diagram of a weather display alarm system for aircraft navigation provided by the present application.

[0051] Figure 3 is a block diagram of an electronic device provided by the present application.

[0052] Reference signs:

[0053] 101, acquisition module; 102, first calculation module; 103, second calculation module; 104, third calculation module; 105, construction module; 106, display alarm module; 201, processor; 202, communication bus; 203, communication interface; 204, memory. DETAILED DESCRIPTION

[0054] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below. Obviously, the described embodiments are some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the present application. The following embodiments are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0055] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in combination with the embodiment or example are contained in at least one embodiment or example of the embodiments of the present application. In the present application, the illustrative description of the above terms is not necessarily for the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any suitable manner in any one or more embodiments or examples. In addition, the skilled in the art can combine and combine the different embodiments or examples described in the present application and the features of the different embodiments or examples without contradiction.

[0056] The following will be combined Figures 1 to 3 A weather display alarm method, system, device and medium for aircraft navigation are described.

[0057] As Figure 1 shown, a weather display alarm method for aircraft navigation includes:

[0058] S1: receiving an aircraft route plan and collecting each numerical weather forecast issued at the take-off time of the aircraft; extracting wind speed, temperature, relative humidity, liquid water content, and cloud droplet particle number density from the numerical weather forecast;

[0059] The aircraft route plan includes the expected time, the expected position and the expected flight height.

[0060] S2: extracting liquid water content and cloud droplet number density of two adjacent time instants before and after the forecast time instant, calculating horizontal visibility of the two adjacent time instants according to the liquid water content and the cloud droplet number density, calculating horizontal visibility of the forecast time instant through feature-aware adaptive attenuation interpolation according to horizontal visibility of the two adjacent time instants;

[0061] extracted forecast time instant liquid water content of two adjacent time instants before and after and cloud droplet number density , calculating horizontal visibility of the two adjacent time instants, the time instant before , the time instant after , calculating horizontal visibility of the time instant before and horizontal visibility of the time instant after ;

[0062] The calculation expression of the horizontal visibility is:

[0063]

[0064] wherein, is the horizontal visibility, is the liquid water content, is the cloud droplet number density;

[0065] If the change of compared with is less than 5%, then is taken as the horizontal visibility of the time instant before ;

[0066] If the change of compared with is greater than or equal to 5%, then the horizontal visibility of the forecast time instant is calculated through feature-aware adaptive attenuation interpolation.

[0067] S3: extracting relative humidity and temperature of two adjacent time instants before and after the forecast time instant, calculating aircraft icing index of the two adjacent time instants according to the relative humidity and the temperature, calculating aircraft icing index of the forecast time instant through feature-aware adaptive attenuation interpolation according to aircraft icing index of the two adjacent time instants;

[0068] extracted forecast time instant relative humidity of two adjacent time instants before and after and temperature , calculating aircraft icing index of the two adjacent time instants, i.e. aircraft icing index of the time instant before as well as Aircraft icing index at any time ,

[0069] The formula for calculating the aircraft icing index is:

[0070]

[0071] in, The aircraft icing index. Relative humidity, For temperature;

[0072] like Compared If the change is less than 5%, then As Aircraft icing index at any given time;

[0073] like Compared If the change is greater than or equal to 5%, the predicted time is calculated using feature-aware adaptive decay interpolation. Aircraft icing index.

[0074] when At that time, it was determined that there was no ice accumulation;

[0075] when At that time, it was determined to be moderate icing;

[0076] when At that time, it was determined to be a case of severe ice accumulation.

[0077] The total cloud cover at two adjacent times is calculated based on the relative humidity. Based on the total cloud cover at two adjacent times, the total cloud cover at the forecast time is calculated by feature-aware adaptive attenuation interpolation.

[0078] The total cloud cover at two adjacent times is calculated based on the relative humidity, i.e. Total cloud cover at any given time as well as Total cloud cover at any given time ;

[0079] The formula for calculating total cloud cover is:

[0080]

[0081] in, Total cloud cover To vary with altitude The critical value of changing relative humidity;

[0082] when hour, ;

[0083] When , ;

[0084] When , ;

[0085] When , .

[0086] If is less than 5%, then is taken as the total cloud cover at the forecast time; If is greater than or equal to 5%, then the total cloud cover at the forecast time

[0087] is calculated by adaptive fading interpolation of feature perception. S4: Extract the wind speed of the two adjacent time points before and after the forecast time, and calculate the aircraft pitching index of the two adjacent time points before and after the forecast time according to the wind speed; according to the aircraft pitching index of the two adjacent time points before and after the forecast time, the aircraft pitching index of the forecast time is calculated by adaptive fading interpolation of feature perception; Extract the wind speed of the two adjacent time points before and after the forecast time, calculate the aircraft pitching index of the two adjacent time points before and after the forecast time, i.e.

[0088] the aircraft pitching index at the time and

[0089] the aircraft pitching index at the time ; The calculation expression of the aircraft pitching index is:

[0090]

[0091]

[0092]

[0093]

[0094] wherein, is the aircraft pitching index, is the horizontal velocity gradient, is the vertical velocity gradient, is the north component of the wind speed, is the east component of the wind speed, is the lateral distance, is the longitudinal distance, is the height gradient;

[0095] ​​​​If the change is less than 5%, the aircraft jolt index at the prediction moment is calculated as .

[0096] If the change is greater than or equal to 5%, the aircraft jolt index at the prediction moment is calculated by adaptive attenuation interpolation of feature perception.

[0097] When , it is determined as no jolt;

[0098] When , it is determined as mild jolt;

[0099] When , it is determined as moderate jolt;

[0100] When , it is determined as severe jolt;

[0101] When , it is determined as serious jolt.

[0102] The adaptive attenuation interpolation of feature perception in the S2 step, the S3 step and the S4 step comprises:

[0103] Selecting local grid points centered on the target point P;

[0104] Selecting local grid points (such as a 3x3 neighborhood) centered on the target point P, denoted as a set .

[0105] Calculating the feature strength of the grid points and the feature direction of the grid points;

[0106] The calculation expression of the feature strength of the i-th grid point is:

[0107]

[0108] wherein, is the feature strength of the i-th grid point, is the i-th grid point data; The calculation expression of the feature direction of the i-th grid point is:

[0109]

[0110]

[0111] wherein, is the feature direction of the i-th grid point,​​​​​​ The characteristic orientation of each grid point It is a two-parameter arctangent function;

[0112] Calculate the orientation sensing distance between grid points and target points;

[0113] The Euclidean distance between the grid points and the target point is calculated using the following expression:

[0114]

[0115] in, For the first The Euclidean distance between each grid point and the target point The horizontal distance to the target point. For the first The lateral distance of each grid point The longitudinal distance to the target point. For the first The vertical distance between grid points;

[0116] If the target point is in the characteristic direction of the grid point, then the Euclidean distance is the direction-aware distance between the grid point and the target point;

[0117] If the target point is perpendicular to the feature direction of the grid point, then the direction-aware distance between the grid point and the target point is:

[0118]

[0119] in, For the first Directional sensing distance between grid points and target point For the first The direction of the line connecting each grid point and the target point For the first The characteristic orientation of each grid point For direction sensitivity parameters, , The larger the value, the stronger the directional influence.

[0120] No. The expression for calculating the direction of the line connecting each grid point and the target point is:

[0121]

[0122] Adaptive weights are calculated based on the directional sensing distance between grid points and target points and the feature intensity of grid points.

[0123] Adjust the decay rate by combining characteristic intensity.

[0124] The formula for calculating adaptive weights is:

[0125]

[0126] wherein, is the adaptive weight of the th grid point, is the direction-aware distance between the th grid point and the target point, is the feature intensity of the th grid point, is the direction-aware distance between the th grid point and the target point, is the feature intensity of the th grid point, is the number of grid points.

[0127] The target point value is calculated according to the adaptive weight and the grid point data, and the calculation expression is:

[0128]

[0129] wherein, is the value of the target point P.

[0130] The grid point data is any one of horizontal visibility, total cloud cover, aircraft jolt index, and aircraft icing index.

[0131] S5: constructing an information box of a route point on the aircraft route map according to the wind speed, the total cloud cover at the forecast time, the aircraft jolt index at the forecast time, and the aircraft icing index at the forecast time, and constructing a suspension box of the route point on the aircraft route map according to the horizontal visibility;

[0132] S51: displaying the aircraft flight route as a line on the aircraft route map;

[0133] S52: clicking the route point on the aircraft route map, displaying the information box in the lower right corner of the aircraft route map, and displaying the wind speed, the total cloud cover, the aircraft jolt index, and the aircraft icing index in the information box, wherein the information box comprises a circular box;

[0134] normalizing the wind speed, the total cloud cover, the aircraft jolt index, and the aircraft icing index;

[0135] sorting according to the normalized results from large to small;

[0136] placing the wind speed, the total cloud cover, the aircraft jolt index, and the aircraft icing index into the upper left, the upper right, the lower left, and the lower right of the information box in order according to the sorting.

[0137] dynamically adjusting according to the influence degree of the aircraft icing index, the aircraft jolt index, the total cloud cover, and the wind speed on the aircraft, wherein positions 1 to 4 are the upper left, the upper right, the lower left, and the lower right, respectively. According to the normalized results of each element, the closer to 1, the higher the ranking.

[0138] S53: Construct a suspension box of the flight point on the aircraft flight path map, and display the wind speed, total cloud cover, aircraft pitching index, aircraft icing index and horizontal visibility in the suspension box.

[0139] The wind speed, total cloud cover, aircraft pitching index, aircraft icing index and horizontal visibility at the current time are displayed in the suspension box in real time.

[0140] S6: According to the aircraft flight plan, the weather display warning of the aircraft navigation is performed through the information box and the suspension box.

[0141] The information in the upper left is the information with the greatest current impact, which is displayed by highlighting the background color, and the bottom color is red. Through the suspension box, the aircraft crew and service support personnel can see the wind speed, total cloud cover, aircraft pitching index, aircraft icing index and horizontal visibility at the current time in real time.

[0142] Through the information box, the aircraft crew and service support personnel can see the aircraft icing index, aircraft pitching index, total cloud cover and wind speed of each flight point on the aircraft flight plan.

[0143] As shown in Figure 2 A weather display warning system for aircraft navigation is used to perform a weather display warning method for aircraft navigation, which comprises:

[0144] The collection module 101 receives the aircraft flight plan and collects the numerical weather forecast of each place at the takeoff time of the aircraft; the wind speed, temperature, relative humidity, liquid water content and cloud droplet particle density are extracted from the numerical weather forecast;

[0145] The first calculation module 102 extracts the liquid water content and cloud droplet particle density of the two adjacent time points before and after the forecast time, calculates the horizontal visibility of the two adjacent time points before and after the forecast time according to the liquid water content and the cloud droplet particle density, and calculates the horizontal visibility of the forecast time by adaptive attenuation interpolation of feature perception according to the horizontal visibility of the two adjacent time points before and after the forecast time;

[0146] The second calculation module 103 extracts the relative humidity and temperature of the two adjacent time points before and after the forecast time, calculates the aircraft icing index of the two adjacent time points before and after the forecast time according to the relative humidity and the temperature, and calculates the aircraft icing index of the forecast time by adaptive attenuation interpolation of feature perception according to the aircraft icing index of the two adjacent time points before and after the forecast time;

[0147] The total cloud cover of the two adjacent time points before and after the forecast time is calculated according to the relative humidity, and the total cloud cover of the forecast time is calculated by adaptive attenuation interpolation of feature perception according to the total cloud cover of the two adjacent time points before and after the forecast time;

[0148] The third calculation module 104 extracts wind speeds of two adjacent time points before and after the forecast time point, calculates aircraft bump indexes of the two adjacent time points before and after the forecast time point according to the wind speeds, and calculates the aircraft bump index of the forecast time point through adaptive attenuation interpolation of feature perception according to the aircraft bump indexes of the two adjacent time points before and after the forecast time point;

[0149] The construction module 105 constructs an information box of a route point on the aircraft route map according to the wind speed, the total cloud amount of the forecast time point, the aircraft bump index of the forecast time point, and the aircraft icing index of the forecast time point, and constructs a floating box of the route point on the aircraft route map according to the horizontal visibility;

[0150] The display alarm module 106 displays weather display alarms for aircraft navigation through the information box and the floating box according to the aircraft route plan.

[0151] Figure 3 An example of a block diagram of an electronic device is shown in FIG. 1. Figure 3 As shown in FIG. 1, the electronic device can include a processor 201, a communications interface 203, a memory 204, and a communications bus 202, wherein the processor 201, the communications interface 203, and the memory 204 complete mutual communication through the communications bus 202. The processor 201 can invoke a logical instruction in the memory 204 to execute a weather display alarm method for aircraft navigation.

[0152] In addition, the logical instruction in the memory 204 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, includes several instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0153] On the other hand, the present application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a weather display alarm method for aircraft navigation provided by the above-mentioned methods.

[0154] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-mentioned method for providing a weather display warning for aircraft navigation.

[0155] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0156] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software plus necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some part of the embodiments.

[0157] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A weather display and warning method for aircraft navigation, characterized in that, include: S1: Receives flight route plans and collects numerical weather forecasts for various locations released at the time of flight departure; Wind speed, temperature, relative humidity, liquid water content, and cloud droplet number density are extracted from numerical weather forecasts. S2: Extract the liquid water content and cloud droplet number density of two adjacent moments before and after the forecast time, calculate the horizontal visibility of the two adjacent moments based on the liquid water content and cloud droplet number density, and calculate the horizontal visibility of the forecast time based on the horizontal visibility of the two adjacent moments through feature-aware adaptive attenuation interpolation. S3: Extract the relative humidity and temperature of two adjacent moments before and after the forecast time, calculate the aircraft icing index of the two adjacent moments based on the relative humidity and the temperature, and calculate the aircraft icing index of the forecast time based on the aircraft icing index of the two adjacent moments through feature-aware adaptive attenuation interpolation. The total cloud cover at two adjacent times is calculated based on the relative humidity. Based on the total cloud cover at two adjacent times, the total cloud cover at the forecast time is calculated by feature-aware adaptive attenuation interpolation. S4: Extract the wind speed of two adjacent moments before and after the forecast time, and calculate the aircraft turbulence index of the two adjacent moments based on the wind speed; calculate the aircraft turbulence index of the forecast time based on the aircraft turbulence index of the two adjacent moments through feature-aware adaptive attenuation interpolation. S5: Construct information boxes for route points on the aircraft route map based on wind speed, total cloud cover at the forecast time, aircraft turbulence index at the forecast time, and aircraft icing index at the forecast time; construct floating boxes for route points on the aircraft route map based on horizontal visibility. S6: Based on the aircraft route plan, display weather warnings for aircraft flight via information boxes and floating boxes.

2. The weather display and warning method for aircraft navigation according to claim 1, characterized in that, The flight route plan includes the estimated time, estimated location, and estimated flight altitude.

3. The weather display and warning method for aircraft navigation according to claim 1, characterized in that, The feature-aware adaptive attenuation interpolation includes: Select local grid points centered on the target point P; Calculate the characteristic intensity and characteristic orientation of each grid point; Calculate the Euclidean distance between the grid point and the target point, and calculate the direction-sensing distance between the grid point and the target point based on the Euclidean distance between the grid point and the target point and the characteristic direction of the grid point; Adaptive weights are calculated based on the directional sensing distance between grid points and target points, as well as the feature intensity of grid points. The target point value is calculated based on adaptive weights and grid point data.

4. The weather display and warning method for aircraft navigation according to claim 3, characterized in that, Calculating the orientation-aware distance between grid points and target points includes: Calculate the Euclidean distance between the grid points and the target point; If the target point is in the characteristic direction of the grid point, then the Euclidean distance is the direction-aware distance between the grid point and the target point; If the target point is perpendicular to the feature direction of the grid point, then the direction-aware distance between the grid point and the target point is: in, For the first Directional sensing distance between grid points and target point For the first The Euclidean distance between each grid point and the target point For direction sensitivity parameters, For the first The direction of the line connecting each grid point and the target point For the first The characteristic orientation of each grid point.

5. A weather display and warning method for aircraft navigation according to claim 3, characterized in that, The formula for calculating adaptive weights is: in, For the first Adaptive weights for each grid point For the first Directional sensing distance between grid points and target point For the first The feature intensity of each grid point For the first Directional sensing distance between grid points and target point For the first The feature intensity of each grid point This represents the number of grid points.

6. A weather display and warning method for aircraft navigation according to claim 1, characterized in that, The S5 steps include: S51: Aircraft flight path diagrams use lines to show the flight path of an aircraft. S52: Click on the flight path point on the flight path map to display an information box in the lower right corner of the flight path map. The information box displays wind speed, total cloud cover, aircraft turbulence index, and aircraft icing index. The information box includes a circular frame. S53: Construct floating frames for route points on the aircraft route map, displaying wind speed, total cloud cover, aircraft turbulence index, aircraft icing index, and horizontal visibility within the floating frames.

7. A weather display and warning method for aircraft navigation according to claim 6, characterized in that, Normalize the wind speed, total cloud cover, aircraft turbulence index, and aircraft icing index. Sort the results from largest to smallest according to the normalization results; Place the wind speed, total cloud cover, aircraft turbulence index, and aircraft icing index in the top left, top right, bottom left, and bottom right of the information box in that order.

8. A weather display and warning system for aircraft navigation, characterized in that, To perform a weather display and warning method for aircraft navigation as described in any one of claims 1 to 7, comprising: The data acquisition module receives the aircraft flight plan and collects numerical weather forecasts from various locations at the time of aircraft takeoff; it extracts wind speed, temperature, relative humidity, liquid water content, and cloud droplet number density from the numerical weather forecasts. The first calculation module extracts the liquid water content and cloud droplet number density of two adjacent moments before and after the forecast time, calculates the horizontal visibility of the two adjacent moments based on the liquid water content and cloud droplet number density, and calculates the horizontal visibility of the forecast time through feature-aware adaptive attenuation interpolation based on the horizontal visibility of the two adjacent moments. The second calculation module extracts the relative humidity and temperature of two adjacent times before and after the forecast time, calculates the aircraft icing index of the two adjacent times based on the relative humidity and the temperature, and calculates the aircraft icing index of the forecast time through feature-aware adaptive attenuation interpolation based on the aircraft icing index of the two adjacent times. The total cloud cover at two adjacent times is calculated based on the relative humidity. Based on the total cloud cover at two adjacent times, the total cloud cover at the forecast time is calculated by feature-aware adaptive attenuation interpolation. The third calculation module extracts the wind speed of two adjacent moments before and after the forecast time, calculates the aircraft turbulence index of the two adjacent moments based on the wind speed, and calculates the aircraft turbulence index of the forecast time based on the aircraft turbulence index of the two adjacent moments through feature-aware adaptive attenuation interpolation. The construction module constructs information boxes of route points on the aircraft route map based on wind speed, total cloud cover at the forecast time, aircraft turbulence index at the forecast time, and aircraft icing index at the forecast time, and constructs floating boxes of route points on the aircraft route map based on horizontal visibility. The display alarm module displays weather alarms for aircraft flight via information boxes and floating boxes, based on the aircraft flight route plan.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of a weather display and warning method for aircraft navigation as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of a weather display and warning method for aircraft navigation as described in any one of claims 1 to 7.

Images