A method, device, equipment and storage medium for sorting NOTAMs

Abstract

The present invention provides a method, apparatus, device, and storage medium for sorting NOTAMs. The method obtains historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical NOTAM data; determines a parent sequence and a child sequence based on the historical navigation data; and obtains a NOTAM sorting benchmark value using a gray correlation analysis method, wherein the parent sequence includes historical abnormal flight data and the child sequence includes historical NOTAM data; then obtains the NOTAMs to be sorted, sorts the NOTAMs to be sorted based on the NOTAM sorting benchmark value, and obtains a NOTAM processing order. The method of the present invention differs from existing sorting methods based on effective time or receipt time. It identifies the degree of impact of different notification types on flights and associates them with flights on the same day, ensuring that important notifications are processed promptly and avoiding adverse effects on flight operations due to untimely processing.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of aviation data processing, and in particular to a method, apparatus, device, and storage medium for sorting NOTAMs. Background Art

[0002] A NOTAM is a notification distributed by telecommunication regarding the establishment and changes to any aviation facilities and services, procedures, or hazards, which must be kept abreast of all personnel involved in flight activities. Most airlines today utilize digital NOTAM systems, which receive and aggregate NOTAMs, sorting them according to pre-set criteria. Relevant personnel then process them in this sorted order.

[0003] Currently, digital NOTAM systems generally sort NOTAMs based on their effective or received time. However, with the increasing number of NOTAMs, multiple NOTAMs often need to be processed simultaneously, and the aforementioned sorting mechanism is clearly no longer sufficient. The existing sorting mechanism can only sort NOTAMs based on their urgency. If less important NOTAMs are processed earlier simply because they came into effect earlier, then the aforementioned sorting mechanism may prevent some critical NOTAMs that impact flights from being processed promptly, impacting actual operations. Summary of the Invention

[0004] The present invention provides a method, device, computer equipment and storage medium for sorting navigation notices. The method analyzes the degree of correlation between different types of navigation notices and abnormal flights through grey correlation theory, and sorts navigation notices accordingly, ensuring that navigation notices with high importance can be processed in a timely manner, thereby avoiding the impact on actual navigation.

[0005] In a first aspect, the present invention provides a method for sorting NOTAMs, comprising the following steps:

[0006] Acquiring historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical navigation notice data;

[0007] Determining a parent sequence and a child sequence based on the historical flight data, and obtaining a NOTAM sorting reference value by using a grey correlation analysis method, wherein the parent sequence includes the historical abnormal flight data and the child sequence includes the historical NOTAM data;

[0008] Acquire the navigation notices to be sorted, sort the navigation notices to be sorted according to the navigation notice sorting reference value, and obtain the navigation notice processing order.

[0009] Furthermore, after the NOTAMs to be sorted are sorted according to the NOTAM sorting reference value, the method further includes the following steps:

[0010] Acquiring first flight operation area information, matching the to-be-sorted NOTAM with the first flight operation area information, and acquiring a first-level processing-level NOTAM, wherein the first flight operation area includes the flight operation airport on that day and the information region through which the flight route passes;

[0011] Prioritize the navigation notices of the first processing level.

[0012] Furthermore, after the NOTAMs to be sorted are sorted according to the NOTAM sorting reference value, the method further includes the following steps:

[0013] Acquiring second flight operation area information, matching the to-be-sorted NOTAM with the second flight operation area information, and acquiring a second-level processing-level NOTAM, wherein the second flight operation area includes scheduled operation airports and information regions traversed by the route in the route database;

[0014] The NOTAMs of the second processing level are sorted, wherein the NOTAMs of the second processing level are sorted after the NOTAMs of the first processing level.

[0015] Furthermore, after the NOTAMs to be sorted are sorted according to the NOTAM sorting reference value, the method further includes the following steps:

[0016] Acquiring non-operating area information, matching the to-be-sorted NOTAM with the non-operating area information, and acquiring a third-level processing level NOTAM;

[0017] The navigation notices of the third processing level are subjected to post-sorting processing.

[0018] Furthermore, determining the parent sequence and the child sequence includes the following steps:

[0019] Determine the parent sequence as

[0020] x0={x0(1),x0(2),...,x0(n)}

[0021] The subsequence is

[0022] x i ={x i (1),x i (2),...,x i (n)}

[0023] Wherein, n is the number of the historical abnormal flights, and i is the number of the historical NOTAM types.

[0024] Furthermore, obtaining the NOTAM sorting benchmark value includes the following steps:

[0025] Get the extreme value of the difference between the parent sequence and the child sequence, and the expression of the minimum difference a is:

[0026]

[0027] The expression of the maximum difference b is

[0028]

[0029] Wherein, k indicates the kth flight in the parent sequence;

[0030] Get the correlation between each element in the subsequence and the corresponding element in the parent sequence, which is calculated as follows:

[0031]

[0032] Where ρ is the resolution factor;

[0033] According to the correlation between each element in the subsequence and the corresponding element in the parent sequence, the sorting reference value of the navigation notice is calculated, and the calculation formula is:

[0034]

[0035] Furthermore, after obtaining the historical navigation data, the following steps are also included:

[0036] The historical navigation data is standardized to obtain the historical navigation data after dimensioning is removed.

[0037] In a second aspect, the present application further provides a NOTAM sorting device, comprising:

[0038] A historical data acquisition module, configured to acquire historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical navigation notice data;

[0039] a sorting reference value acquisition module, configured to determine a parent sequence and a child sequence based on the historical flight data, and to obtain a sorting reference value for the NOTAMs by using a grey correlation analysis method, wherein the parent sequence includes the historical abnormal flight data and the child sequence includes the historical NOTAMs data;

[0040] The processing sequence acquisition module is used to acquire the navigation notices to be sorted, sort the navigation notices to be sorted according to the navigation notice sorting reference value, and acquire the navigation notice processing sequence.

[0041] In a third aspect, the present invention further provides a computer device, comprising:

[0042] at least one memory and at least one processor;

[0043] The memory is used to store one or more programs;

[0044] When the one or more programs are executed by the at least one processor, the at least one processor implements the steps of the navigation notice sorting method as described in the first aspect.

[0045] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of a method for sorting navigation notices as described in the first aspect.

[0046] The present invention obtains historical navigation data, including historical irregular flight data and historical NOTAM data; determines a parent sequence and a child sequence based on the historical navigation data; and uses a grey correlation analysis method to obtain a NOTAM sorting benchmark value, wherein the parent sequence includes the historical irregular flight data and the child sequence includes the historical NOTAM data; then obtains the NOTAMs to be sorted and sorts them according to the NOTAM sorting benchmark value to determine the NOTAM processing order. Unlike existing sorting methods based on effective time or receipt time, the method of the present invention identifies the degree of impact of different NOTAM types on flights and associates them with the flights of the day, ensuring that important NOTAMs are processed promptly and avoiding adverse impacts on flight operations due to untimely processing.

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flowchart of a method for sequencing NOTAMs is provided in an exemplary embodiment;

[0049] Figure 2 A schematic diagram of modules of a NOTAM sequencing device provided in an exemplary embodiment;

[0050] Figure 3 A diagram showing the internal structure of a computer device provided in an exemplary embodiment;

[0051] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device provided in an exemplary embodiment. DETAILED DESCRIPTION

[0052] In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

[0053] It should be clear that the embodiments described are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the embodiments of the present application.

[0054] The terms used in the embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of the present application. The singular forms "a," "the," and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0055] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0056] In addition, in this application, unless otherwise specified, "plurality" refers to two or more. "And / or" describes the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0057] During system development, if the trends of two factors change in a consistent manner, meaning they change at a high degree of synchronization, then the correlation between them is high; otherwise, the correlation is low. Therefore, gray correlation analysis measures the degree of correlation between factors based on the similarity or dissimilarity of their development trends, also known as the "gray correlation degree." The subject of gray correlation analysis is often a system. System development is influenced by multiple factors, and gray correlation analysis can reveal which of these numerous influencing factors are primary and secondary, which promote and which inhibit, and so on. The basic idea of ​​gray correlation analysis is to determine the closeness of a relationship based on the geometric similarity of the sequence curves. The closer the curves, the greater the correlation between the corresponding sequences, and vice versa.

[0058] After analyzing the problems raised in the above background technology, this application adopts the grey correlation analysis method to obtain the factors that have a greater impact on the importance of navigation notices, and sorts the navigation notices accordingly, so that navigation notices with higher importance are placed at the front of the list to be processed, so that the staff can process the corresponding navigation notices in a limited manner, thereby avoiding missing important information due to the large number of navigation notices.

[0059] The embodiment of the present application provides a method for sorting navigation notices, such as Figure 1 As shown, the method includes the following steps:

[0060] S201: Acquire historical flight data, wherein the historical flight data includes historical abnormal flight data and historical navigation notice data.

[0061] Specifically, historical navigation data can be obtained through the internal navigation information of the airline. Among them, in the embodiment of the present application, an abnormal flight indicates that there is a deviation between the estimated landing time and the actual landing time of the flight. The historical navigation notice data includes the historical navigation notice Q code. The Q code, that is, the navigation notice selection standard code, is a general description of the information contained in the navigation notice. It is the basis for filling in the navigation notice limit line (Q line). Its selection and use determine the correspondence between the flight type, issuance purpose and applicable scope of each sub-item. It consists of five English letters and is referred to as the Q code. In the embodiment of the present application, the navigation notice Q code is used as the type identification of the navigation notice.

[0062] In an exemplary example, the mapping relationship between NOTAM types and Q codes is shown in the following table:

[0063]

[0064] Specifically, when the Notam data is obtained, the Notam type corresponding to the Notam is obtained according to its corresponding Q code.

[0065] In a preferred embodiment, after acquiring the historical navigation data, the historical navigation data is normalized to obtain dimensionless historical navigation data, thereby facilitating subsequent data analysis using a grey correlation analysis method. In a specific example, the normalization method can be performed using a data processing method such as a z-score method or a min-max method.

[0066] S202: Determine a parent sequence and a child sequence based on the historical flight data, and obtain a NOTAM sorting reference value through a grey correlation analysis method, wherein the parent sequence includes the historical abnormal flight data and the child sequence includes the historical NOTAM data.

[0067] According to the grey correlation analysis method, a parent sequence is a data sequence reflecting the overall behavioral characteristics or development of a system, while a child sequence is a data sequence composed of factors influencing system development. In this embodiment, the degree of impact on flights is considered to represent system development, as reflected by flight delay time; the number of each type of NOTAM in flight release data is considered to be a factor influencing system development. Specifically, flight delay time is equal to the difference between the actual landing time and the estimated landing time. If the flight is canceled, the maximum flight delay time is considered.

[0068] In a preferred embodiment, the parent sequence is determined to be

[0069] x0={x0(1),x0(2),...,x0(n)}

[0070] The subsequence is

[0071] x i ={x i (1),x i (2),...,x i (n)}

[0072] Wherein, n is the number of the historical abnormal flights, and i is the number of the historical NOTAM types.

[0073] Then obtain the extreme value of the difference between the parent sequence and the child sequence, and the expression of the minimum difference a is:

[0074]

[0075] The expression of the maximum difference b is

[0076]

[0077] Wherein, k indicates the kth flight in the parent sequence;

[0078] Get the correlation between each element in the subsequence and the corresponding element in the parent sequence, which is calculated as follows:

[0079]

[0080] Where ρ is the resolution factor;

[0081] According to the correlation between each element in the subsequence and the corresponding element in the parent sequence, the sorting reference value of the navigation notice is calculated, and the calculation formula is:

[0082]

[0083] In other words, the correlation between each subsequence and the parent sequence is calculated, thereby determining the degree of correlation between the influencing factors and the overall system. Based on the definition of gray correlation analysis, the magnitude and sign of the correlation between NOTAM types can be interpreted as the magnitude and positive / negative feedback effect on flight delays. Therefore, the correlation between each subsequence and the parent sequence is used as the benchmark for NOTAM ranking.

[0084] S203: Obtain the NOTAMs to be sorted, sort the NOTAMs to be sorted according to the NOTAM sorting reference value, and obtain a NOTAM processing order.

[0085] According to the NOTAM ranking benchmark value, the greater the impact of the information contained in the NOTAM on flight delays, the higher its ranking and the easier it is to be prioritized, thereby avoiding adverse effects on actual flight operations due to untimely processing of the NOTAM.

[0086] In a preferred example, the NOTAM may be further identified and split according to the content of item A of the NOTAM, and the sorting of the NOTAM may be further optimized by taking the navigation area as one of the influencing factors.

[0087] Therefore, after the NAMS to be sorted is sorted according to the NAMS sorting reference value, the following steps are also included: obtaining the first flight operation area information, matching the NAMS to be sorted with the first flight operation area information, and obtaining the NAMS of the first processing level, wherein the first flight operation area includes the operating airport on that day and the information area through which the flight operation route passes; and prioritizing the NAMS of the first processing level.

[0088] Specifically, the contents of Item A of the NOTAM include two types: airports and information regions. If the airport information and information region information contained in the current NOTAM information are all the operating airports in the flight list for the day and the information regions passed by the flight routes, then the processing priority of the NOTAM is considered to be higher.

[0089] In another example, after sorting the NAVMs to be sorted, the method further includes: obtaining second flight operation area information, matching the NAVMs to be sorted with the second flight operation area information, and obtaining NAVMs of a second processing level, wherein the second flight operation area includes regularly operated airports and information areas through which the routes in the route library pass; sorting the NAVMs of the second processing level, wherein the NAVMs of the second processing level are sorted after the NAVMs of the first processing level.

[0090] Specifically, the scheduled operation airports are all airports approved by Airline Operation Specification C0039. The second flight operation area is the area where the flight may operate, and the processing priority of the NOTAM related to the operation area is lower than the NOTAM of the first processing level.

[0091] In another example, after sorting the navigation notices to be sorted, the method further includes: obtaining non-operating area information, matching the navigation notices to be sorted with the non-operating area information, and obtaining navigation notices of the third processing level; and performing post-sorting processing on the navigation notices of the third processing level.

[0092] Specifically, NOTAMs involving non-operational areas have the lowest processing priority.

[0093] In a preferred example, NOTAMs at the first processing level are processed first, and NOTAMs at the third processing level are processed last. NOTAMs at the same processing level are sorted by the NOTAM sorting reference value, with NOTAMs with larger sorting reference values ​​being processed first. For non-operational area NOTAMs, sorting can also be performed based on the effective date of the NOTAM, with NOTAMs with earlier effective dates being processed first.

[0094] The embodiment of the present application provides a method for sorting NOTAMs, which obtains historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical NOTAM data; and determines a parent sequence and a child sequence based on the historical navigation data, and obtains a NOTAM sorting reference value through a grey correlation analysis method, wherein the parent sequence includes historical abnormal flight data and the child sequence includes historical NOTAM data; then obtains the NOTAMs to be sorted, sorts the NOTAMs to be sorted according to the NOTAM sorting reference value, and obtains a NOTAM processing order. The method described in the embodiment of the present application is different from the existing sorting method based on the effective time or the receiving time. It identifies the degree of impact of different types of notifications on flights and associates them with the flights of the day to ensure that important notifications can be processed in a timely manner, avoiding adverse effects on flight operations due to untimely processing.

[0095] The embodiment of the present application also provides a navigation notice sorting device 300, such as Figure 2 Shown, including:

[0096] A historical data acquisition module 301 is used to acquire historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical navigation notice data;

[0097] A sorting reference value acquisition module 302 is configured to determine a parent sequence and a child sequence based on the historical flight data, and to obtain a sorting reference value for the NOTAMs using a grey correlation analysis method, wherein the parent sequence includes the historical abnormal flight data and the child sequence includes the historical NOTAMs data;

[0098] The processing order acquisition module 303 is used to acquire the NOTAMs to be sorted, sort the NOTAMs to be sorted according to the NOTAM sorting reference value, and acquire the processing order of the NOTAMs.

[0099] It should be noted that a Notam sorting device and a Notam sorting method are both derived from the same invention concept. For relevant explanations of a Notam sorting device, reference can be made to the embodiments of a Notam sorting method, which will not be repeated here.

[0100] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a navigation notice sorting method is implemented.

[0101] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 4As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a navigation notice sorting method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0102] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for sorting navigation notices described in any one of the above embodiments is implemented.

[0103] The present invention may take the form of a computer program product implemented on one or more storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing program code. Computer-readable storage media include permanent and non-permanent, removable and non-removable media, and may be implemented by any method or technology for information storage. The information may be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include but are not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0104] It should be understood that the embodiments of the present application are not limited to the precise structures described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the embodiments of the present application is limited only by the appended claims.

[0105] The above-described embodiments merely represent several implementation methods of the embodiments of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the concept of the embodiments of the present application, and these modifications and improvements fall within the scope of protection of the embodiments of the present application.

Claims

1. A method for sorting NOTAMs, characterized in that: The steps include: Acquiring historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical navigation notice data; Determining a parent sequence and a child sequence based on the historical flight data, and obtaining a NOTAM sorting reference value by using a grey correlation analysis method, wherein the parent sequence includes the historical abnormal flight data and the child sequence includes the historical NOTAM data; Obtaining the NOTAMs to be sorted, sorting the NOTAMs to be sorted according to the NOTAM sorting reference value, and obtaining a processing order for the NOTAMs; Determining the parent sequence and the child sequence comprises the following steps: The parent sequence is determined as: x0={x0(1),x0(2),...,x0(n)}; The subsequence is: x i ={x i (1),x i (2),...,x i (n)}; Wherein, n is the number of historical abnormal flights, i is the number of historical NOTAM types; The method of obtaining the NOTAM sorting reference value comprises the following steps: Obtain the extreme value of the difference between the parent sequence and the child sequence, and the expression of the minimum difference a is: The expression of the maximum difference b is: Wherein, k indicates the kth flight in the parent sequence; Obtain the correlation between each element in the subsequence and the corresponding element in the parent sequence, which is calculated as follows: Where ρ is the resolution factor; According to the correlation between each element in the subsequence and the corresponding element in the parent sequence, the sorting reference value of the NOTAM is calculated, and the calculation formula is:

2. A method for sorting NOTAMs according to claim 1, characterized in that: After sorting the NOTAMs to be sorted according to the NOTAM sorting reference value, the following steps are further included: Acquiring first flight operation area information, matching the to-be-sorted NOTAM with the first flight operation area information, and acquiring a first-level processing-level NOTAM, wherein the first flight operation area includes the flight operation airport on that day and the information region through which the flight route passes; Prioritize the navigation notices of the first processing level.

3. A method for sorting NOTAMs according to claim 2, characterized in that: After sorting the NOTAMs to be sorted according to the NOTAM sorting reference value, the following steps are further included: Acquiring second flight operation area information, matching the to-be-sorted NOTAM with the second flight operation area information, and acquiring a second-level processing-level NOTAM, wherein the second flight operation area includes scheduled operation airports and information regions traversed by the route in the route database; The NOTAMs of the second processing level are sorted, wherein the NOTAMs of the second processing level are sorted after the NOTAMs of the first processing level.

4. A method for sorting NOTAMs according to claim 3, characterized in that: After sorting the NOTAMs to be sorted according to the NOTAM sorting reference value, the following steps are further included: Acquiring non-operating area information, matching the to-be-sorted NOTAM with the non-operating area information, and acquiring a third-level processing level NOTAM; The navigation notices of the third processing level are subjected to post-sorting processing.

5. A method for sorting NOTAMs according to claim 1, characterized in that: After obtaining historical navigation data, the following steps are also included: The historical navigation data is standardized to obtain the historical navigation data after dimensioning is removed.

6. A NOTAM sorting device, characterized in that: include: A historical data acquisition module, configured to acquire historical navigation data, wherein the historical navigation data includes historical abnormal flight data and historical navigation notice data; a sorting reference value acquisition module, configured to determine a parent sequence and a child sequence based on the historical flight data, and to obtain a sorting reference value for the NOTAMs by using a grey correlation analysis method, wherein the parent sequence includes the historical abnormal flight data and the child sequence includes the historical NOTAMs data; A processing order acquisition module is used to acquire the NOTAMs to be sorted, sort the NOTAMs to be sorted according to the NOTAM sorting reference value, and acquire the NOTAM processing order; Determining the parent sequence and the child sequence comprises the following steps: Determine the parent sequence as: x0={x0(1),x0(2),...,x0(n)}; The subsequence is: x i ={x i (1),x i (2),...,x i (n)}; Wherein, n is the number of historical abnormal flights, i is the number of historical NOTAM types; The method of obtaining the NOTAM sorting reference value comprises the following steps: Obtain the extreme value of the difference between the parent sequence and the child sequence, and the expression of the minimum difference a is: The expression of the maximum difference b is: Wherein, k indicates the kth flight in the parent sequence; Obtain the correlation between each element in the subsequence and the corresponding element in the parent sequence, which is calculated as follows: Where ρ is the resolution factor; According to the correlation between each element in the subsequence and the corresponding element in the parent sequence, the sorting reference value of the NOTAM is calculated, and the calculation formula is:

7. A computer device, characterized in that: include: at least one memory and at least one processor; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the at least one processor implements the steps of the NOTAM sorting method according to any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for sorting NOTAMs according to any one of claims 1 to 5 are implemented.

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