An equipment system air-drop air-landing capability evaluation method, device, equipment and medium

Abstract

The application discloses an equipment system air drop and landing capability evaluation method, device, equipment and medium. The method can acquire each air drop node of an equipment system, collect a flag bit of whether landing of each air drop node is successful, a flag bit of whether to perform dispersion evaluation, a second quantity of air drop nodes performing dispersion evaluation according to the air drop, and a first quantity of air drop nodes successfully landing in the nodes performing dispersion evaluation, determine a success rate of the air drop, and further determine whether the air drop and landing capability meets a standard. Therefore, the air drop and landing capability of the equipment system can be accurately evaluated.

Description

Technical Field

[0001] This invention relates to the field of equipment system analysis and evaluation technology, and in particular to a method, apparatus, equipment and medium for evaluating the airdrop and airborne capabilities of an equipment system. Background Technology

[0002] With the rapid development of weaponry and equipment, systematic design, development, and construction of equipment have become the trend in weaponry and equipment research and development.

[0003] Weapon system capability assessment based on various experimental data is a crucial step in equipment system design and verification, and is currently a hot topic of interest for equipment system developers. Methods for evaluating the airdrop performance of individual equipment based on various experimental data have been widely applied in the demonstration, development, and evaluation of various types of equipment, such as airdrop landing impact response analysis and evaluation, and airdrop dynamics analysis and evaluation.

[0004] In system-level airdrop and airborne capability assessment, the main methods include:

[0005] First, through practical experiments, intuitive indicators such as the rate of vehicle rollover and personnel injury during airdrops are calculated. However, this method is extremely costly and fails to reflect the overall impact on the system's airdrop and air-drop capabilities. It is also difficult to assess and analyze whether the airdrop and air-drop capabilities meet the standards, thus hindering system optimization and verification efforts.

[0006] Second, by comparing the combat and technical indicators of new and old equipment, the weighted sum of the improvement factors of each indicator is directly used as the result of the improvement in airborne and airdrop support capability. This method is relatively simple to implement and has a short analysis cycle, but it has a weak correlation with the overall system capability. Furthermore, when there is no old equipment or the new equipment has functional performance indicators that the old equipment does not have, it is difficult to conduct capability improvement analysis and obtain analysis results.

[0007] Third, some tactical and technical indicators, such as airdrop altitude, quantity, and environmental adaptability, can be used as indicators of the system's airdrop capability. However, this method is more biased towards the performance of individual equipment and fails to reflect the overall system's capabilities.

[0008] Therefore, there is an urgent need for a technical solution that can accurately assess the airdrop and airborne capabilities of equipment systems. Summary of the Invention

[0009] This invention provides a method, apparatus, equipment, and medium for evaluating the airdrop and airborne capabilities of an equipment system, in order to solve the problem in the prior art of how to determine whether the airdrop and airborne capabilities of an integrated airdrop and airborne equipment system meet the requirements under various circumstances.

[0010] In a first aspect, the present invention provides a method for evaluating the airdrop and airborne capability of an equipment system, the method comprising:

[0011] When the conditions for assessing the airdrop and airborne capability of the equipment system are met, all airdrop nodes of the equipment system currently being assessed for airdrop and airborne capability are obtained; information of each preset parameter corresponding to each airdrop node is collected during each airdrop, wherein the preset parameters include: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was conducted.

[0012] For each airdrop, the success rate of the airdrop is determined based on the first number of successfully landing airdrop nodes among the airdrop nodes that have undergone dispersion assessment and the second number of airdrop nodes that have undergone dispersion assessment; based on the success rate of each airdrop, it is determined whether the airdrop air-drop capability meets the standards.

[0013] Secondly, the present invention also provides an equipment system airdrop and airborne capability assessment device, the device comprising:

[0014] The data acquisition module is used to acquire all airdrop nodes of the equipment system currently undergoing airdrop capability assessment when the conditions for airdrop and airdrop capability assessment are met; and to acquire information on each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters include: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was conducted.

[0015] The determination module is used to determine the success rate of each airdrop based on a first number of successfully landing airdrop nodes among the airdrop nodes that have undergone dispersion assessment and a second number of airdrop nodes that have undergone dispersion assessment; and to determine whether the airdrop airdrop capability meets the standard based on the success rate of each airdrop.

[0016] Thirdly, the present invention provides an electronic device comprising at least a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the steps of any of the methods described above.

[0017] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0018] When the conditions for assessing the airdrop and airborne capability of an equipment system are met, this invention obtains each airdrop node of the equipment system, collects the flags indicating whether the landing was successful and whether a dispersion assessment was conducted for each airdrop node, and determines the success rate of the airdrop based on the second number of airdrop nodes that underwent dispersion assessment and the first number of airdrop nodes that successfully landed among those that underwent dispersion assessment, thereby further determining whether the airdrop and airborne capability meets the standards. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A schematic diagram illustrating the process of an equipment system airdrop and airborne capability assessment method provided in an embodiment of the present invention;

[0021] Figure 2a This is one of the airdrop / parachute scenario diagrams provided in an embodiment of the present invention;

[0022] Figure 2b This is the second airdrop / parachute scenario diagram provided in an embodiment of the present invention;

[0023] Figure 3 An adjusted airdrop scenario diagram provided for an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the structure of an equipment system airdrop and airborne capability assessment device provided in an embodiment of the present invention;

[0025] Figure 5 This is a schematic diagram of an electronic device structure provided in an embodiment of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0027] To determine the airdrop and airborne capabilities of an equipment system under various conditions, embodiments of the present invention provide an airdrop and airborne capability assessment method, apparatus, equipment, and medium.

[0028] Example 1:

[0029] Figure 1 This invention provides a schematic diagram of a method for evaluating the airdrop and airborne capabilities of an equipment system, which includes the following steps:

[0030] S101: When the conditions for assessing the airdrop and airborne capability of the equipment system are met, obtain all airdrop nodes of the equipment system currently undergoing airdrop and airborne capability assessment.

[0031] The airdrop and airborne capability assessment method provided in this embodiment of the invention is applied to electronic devices, such as PCs, mobile terminals, servers, etc. The following description uses a server as an example.

[0032] To assess the airdrop and airborne capabilities of an equipment system, in this embodiment of the invention, when the assessment conditions for the equipment system's airdrop and airborne capabilities are met, such as when the equipment system completes at least one airdrop and airborne operation, the server can obtain the airdrop level currently being assessed and its corresponding airdrop nodes to determine all airdrop nodes of the equipment system currently being assessed. An airdrop node refers to a specific airdrop and airborne operation. Obtaining all airdrop nodes currently being assessed means obtaining all airdrop nodes within the deployment range of the equipment system currently being assessed. The deployment units of the equipment system include, but are not limited to, brigade, battalion, and company levels.

[0033] Specifically, the brigade level includes basic brigades and advanced brigades, etc. The airdrop nodes of different brigade levels can be denoted as L1, L2...LH, and there are G1, G2...GH airdrop nodes corresponding to different brigade levels, forming a brigade-level airdrop node matrix. for:

[0034]

[0035] The h-th brigade-level airdrop node matrix for:

[0036]

[0037] Lh gh Let be the gh-th airdrop node of the Lh-th brigade, where gh = 1, 2…Gh and h = 1, 2…H.

[0038] Battalion-level units include, but are not limited to: mechanized infantry battalions, motorized infantry battalions, combat battalions, air defense battalions, artillery battalions, and support battalions, totaling I units. Airdrop nodes at the battalion level are denoted as Y1, Y2…Yi…YI. Typically, each battalion / brigade-level unit has one command post, and each command post has Q1, Q2…Qi…QI airdrop nodes, forming a battalion-level airdrop node matrix. for:

[0039]

[0040] The airdrop node matrix for each battalion level for:

[0041]

[0042] Yi qiLet be the qi-th airdrop node of the i-th battalion level, where qi = 1, 2, ..., Qi, and i = 1, 2, ..., I.

[0043] The i-th battalion-level unit has a total of Ji company-level units, including but not limited to: mechanized infantry company, motorized infantry company, combat company, air defense company, artillery company, support company, etc., and is labeled as YiB1, YiB2…YiBj…YiBJi. The YiBj company-level unit has Dji vehicle nodes, forming the airdrop node matrix of the i-th battalion-level unit Bj company-level / battalion-directly-affiliated units. as follows:

[0044]

[0045] The YiBj cascade airdrop node matrix The statement is as follows:

[0046]

[0047] YiBj dji Let dji be the dji-th airdrop node of the Bji company level of the i-th battalion-level unit, where dji = 1, 2, ..., Dji, j = 1, 2, ..., J, i = 1, 2, ..., I.

[0048] Based on the current deployment scope for assessing airdrop and airborne capabilities Get the total number N of airdrop nodes CN For example, if the allocation scope is at the brigade level:

[0049]

[0050] Correspondingly, the total number of airdrop nodes is:

[0051]

[0052] S102: Collect information on each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters include: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was performed.

[0053] To assess the airdrop and airborne capabilities of the equipment system, it is necessary to collect information on various preset parameters corresponding to each airdrop node during each airdrop, including but not limited to: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was conducted. The flag indicating whether the landing was successful marks the airdrop node based on whether the airdrop and airborne operation was successful. The flag indicating whether a dispersion assessment was conducted marks the airdrop node based on whether a dispersion assessment was required for the airdrop and airborne operation.

[0054] Because each airdrop may involve multiple airdrop flights, multiple drop zones, and different types of airdrop systems, including but not limited to: large / medium / small item airdrop systems, cargo-less / cargo-with airdrop systems, precision / non-precision airdrop systems, low-altitude / high-altitude / ultra-low-altitude personnel parachutes, etc., or they can be categorized by parachute / item delivery system model. Based on the assessment requirements, sets of airdrop flights, drop zones, and airdrop systems requiring dispersion assessment can be set. Whether an airdrop node needs dispersion assessment is determined by whether its corresponding airdrop flight, drop zone, and airdrop system belong to the corresponding set. If the airdrop node's corresponding airdrop flight, drop zone, and airdrop system belong to the corresponding set, the flag for conducting dispersion assessment can be 1; otherwise, it can be 0.

[0055] Determine whether the airdrop item corresponding to the airdrop node has successfully landed. If yes, record the value corresponding to the flag indicating whether the airdrop node has successfully landed as 1; otherwise, record it as 0. Determine whether the airdrop node has undergone a distribution assessment. If yes, record the value corresponding to the flag indicating whether the airdrop node has undergone a distribution assessment as 1; otherwise, record it as 0.

[0056] Specifically, when determining whether an airdrop node is subject to a dispersion assessment, the determination is based on whether the airdrop flight corresponding to the airdrop node is within a preset set of airdrop flights subject to dispersion assessment, whether the airdrop field it is located in is within a preset set of airdrop drop fields subject to dispersion assessment, and whether the airdrop system it belongs to is within a preset set of airdrop systems subject to dispersion assessment. If the airdrop flight corresponding to the airdrop node is within a preset set of airdrop flights subject to dispersion assessment, the airdrop field it is located in is within a preset set of airdrop drop fields subject to dispersion assessment, and the airdrop system it belongs to is within a preset set of airdrop systems subject to dispersion assessment, then the airdrop node corresponds to the flag bit 1 for dispersion assessment; otherwise, it corresponds to the flag bit 0 for not conducting dispersion assessment.

[0057] Specifically, there are AN airdrop sorties, labeled A1…An…AN; there are FN drop zones, labeled F1…Fn…FN; and the airdrop system is divided into K categories, labeled M1, M2…Mk…MK.

[0058] Specifically, the flag indicating whether the airdrop node has successfully landed can be denoted as SG, the flag indicating whether a dispersion assessment has been conducted can be denoted as EA, the number of airdrops can be denoted as Ar, the drop zone can be denoted as Fd, and the airdrop system can be denoted as Mk.

[0059] The information collected from each airdrop node was organized into an airdrop node information matrix as follows.

[0060]

[0061] Determine the set of airdrop flights that require airdrop dispersion assessment. Airborne Field and airdrop system The value of the flag EA for determining whether to perform a dispersion assessment is determined according to the following formula (1):

[0062]

[0063] Among them, S CN This represents the information matrix collected by airdrop nodes, where n = 1, 2, ..., N represents the nth airdrop node, i.e., the sequence number of the airdrop. If the airdrop flight A corresponding to an airdrop node belongs to... And the drop zone Fd belongs to And the airdrop system Mk belongs to The value of the EA flag for the distribution assessment corresponding to the airdrop node is 1, otherwise it is 0.

[0064] S103: For each airdrop, determine the success rate of the airdrop based on the first number of successfully landing airdrop nodes among the airdrop nodes that have undergone dispersion assessment and the second number of airdrop nodes that have undergone dispersion assessment; determine whether the airdrop air-drop capability meets the standard based on the success rate of each airdrop.

[0065] To assess the airdrop and airborne capabilities of the equipment system, the success rate of each airdrop can be used to determine whether the airdrop and airborne capabilities meet the standards. For each airdrop, the first number of successfully landing airdrop nodes in the dispersion assessment and the second number of successfully landing airdrop nodes in the dispersion assessment are obtained. The success rate of that airdrop is determined based on the ratio of the first number to the second number.

[0066] Specifically, the first number of successfully landing airdrop nodes among the airdrop nodes undergoing dispersion assessment refers to the number of airdrop nodes whose landing success flag and dispersion assessment flag are both 1; the second number of airdrop nodes undergoing dispersion assessment refers to the number of airdrop nodes in the entire equipment system whose dispersion assessment flag is 1. The airdrop success rate can be determined according to the following formula (2):

[0067]

[0068] Among them, AS EN % represents the success rate of the airdrop, N EA S represents the second quantity. CNThis represents the information matrix collected by the airdrop nodes, where n = 1, 2, ..., N represents the nth airdrop node, i.e., the node number. SG represents the flag indicating whether the landing was successful, EA represents the flag indicating whether a scattering assessment should be performed, and Sn represents the number of calculations set to ensure accuracy. CN (n,SG)) Sn This represents the value of the flag indicating whether the nth airdrop node successfully landed during the nth airdrop. CN (n,EA)) Sn The value of the flag indicating whether the nth drop node is evaluated for distribution during the nth drop.

[0069] Based on the range of airdrop nodes currently used for airdrop capability assessment, a preset airdrop success rate can be set for this airdrop. The calculated airdrop success rate is then compared with this preset success rate. If the airdrop success rate is not less than the preset success rate, it indicates that the airdrop capability meets the standard. If the airdrop success rate is less than the preset success rate, it indicates that the airdrop capability does not meet the standard.

[0070] Based on the number of times the airdrop capability meets the standard and the total number of airdrops evaluated, it can be determined whether the airdrop capability meets the standard. For example, a threshold greater than 0.5 can be preset. When the ratio of the number of times the airdrop capability meets the standard to the total number of airdrops is greater than 0.5, the airdrop capability can be considered to meet the standard.

[0071] This invention embodiment obtains each airdrop node of the equipment system, collects the flags indicating whether the landing was successful and whether a dispersion assessment was conducted for each airdrop node, and determines the success rate of the airdrop based on the second number of airdrop nodes that underwent dispersion assessment and the first number of airdrop nodes that successfully landed among those that underwent dispersion assessment, thereby further determining whether the airdrop and air-drop capability meets the standards.

[0072] Example 2:

[0073] In order to evaluate the airdrop and airborne capability of the equipment system, based on the above embodiments, in this embodiment of the invention, the preset parameters further include: a marker for whether the airdrop is precise, the heading angle of the airdrop equipment corresponding to the airdrop node, the exit position of the airdropped item at the airdrop node, the landing position of the airdropped item, and the type of the airdropped item.

[0074] The method further includes:

[0075] If the airdrop node is for dispersion assessment and the type of airdropped item is a vehicle, the first deviation distance between the landing position and the exit position in the airdrop equipment's heading direction and the exit position is determined based on the exit position, landing position, and heading angle corresponding to the airdrop node. The second deviation distance between the landing position and the exit position in the direction perpendicular to the airdrop equipment's heading direction is also determined. For each airdrop where the airdropped item is a vehicle and the airdrop node is for dispersion assessment, the dispersion area of ​​the airdrop is determined based on the third number of non-precise airdrop nodes, the first deviation distance, and the second deviation distance. The airdrop drop capability is then determined based on the dispersion area of ​​each airdrop.

[0076] During each airdrop, information on each preset parameter corresponding to each airdrop node is collected. These preset parameters also include: a flag indicating whether the airdrop is precise, the heading angle of the airdrop equipment corresponding to the airdrop node, the exit position of the airdropped item at the airdrop node, the landing position of the airdropped item, and the type of the airdropped item.

[0077] The "precision airdrop" flag refers to the marking of an airdrop node based on whether the corresponding airdrop method is a precision airdrop. The heading angle of the airdrop equipment corresponding to the airdrop node refers to the heading angle of the transport aircraft corresponding to the airdrop node, i.e., the angle between the flight direction and true north. The exit position of the airdropped items at the airdrop node refers to the position of the transport aircraft when the airdropped items leave the aircraft's hatch during the airdrop operation; specifically, this position is a two-dimensional spatial position. The landing position of the airdropped items is the position where the airdropped items land on the ground. The types of airdropped items include, but are not limited to, crew members, personnel, supplies, and vehicles.

[0078] Specifically, the preset parameters collected for each airdrop node can be organized into the following airdrop node data collection matrix.

[0079]

[0080]

[0081]

[0082] Where n = 1, 2, ..., N represents the nth airdrop node, that is, the sequence number of the airdrop node; (x ld y ld ), (x oc y oc α represents the two-dimensional coordinates of the landing position and exit position of the airdropped items, respectively, after coordinate transformation to a rectangular coordinate system with the center of the first drop zone as the origin; hdThis represents the heading angle of the transport aircraft during the drop, i.e., the angle between the flight direction and true north. Typ is a value determined by the type of item being dropped. Typ takes different values ​​depending on the type; as shown above, when the dropped items are personnel, vehicles, and supplies, the corresponding Typ values ​​are -1, 0, and 1, respectively. AC indicates whether the airdrop is precise. AC takes different values ​​depending on whether the airdrop method corresponding to the airdrop node is precise; as shown above, when the airdrop method is precise, the corresponding AC values ​​are 1 and 0, respectively.

[0083] If the airdrop node is an airdrop node for which dispersion assessment is performed, i.e., the corresponding flag for whether dispersion assessment is performed is 1, and the type of airdropped item is a vehicle, i.e., Typ is 1, then based on the exit position, landing position, and heading angle corresponding to the airdrop node, the first deviation distance between the landing position and the exit position of the airdrop node in the heading direction of the airdrop equipment can be calculated according to the following formula (3):

[0084]

[0085] Among them, DV EN (n,dv) represents the first deviation distance, S CN (n, EA) represents the value of the flag indicating whether the nth drop node should undergo a distribution evaluation, S CN (n,x ld ), S CN (n,y ld ), S CN (n,x oc ) and S CN (n,y oc S represents the x and y coordinates of the landing position and the exit position of the airdropped item at the nth airdrop node, after coordinate transformation to a Cartesian coordinate system with the center of the first drop zone as the origin; CN (n,α hd ) is the heading angle of the transport aircraft when dropping airdropped items, that is, the angle between the flight direction and due north.

[0086] Based on formula (4), calculate the second deviation distance between the landing position of the airdrop node and the exit position in the vertical direction of the airdrop equipment's heading:

[0087]

[0088] Among them, DV EN (n,dl) represents the second deviation distance, S CN (n, EA) represents the value of the flag indicating whether the nth drop node should undergo a distribution evaluation, S CN (n, AC) represents the value of the flag indicating whether the nth airdrop node is a precise airdrop, SCN (n, Typ) represents the value corresponding to the type of airdrop item at the nth airdrop node, S CN (n,x ld ), S CN (n,y ld ), S CN (n,x oc ) and S CN (n,y oc S represents the x and y coordinates of the landing position and the exit position of the airdropped item at the nth airdrop node, after coordinate transformation to a Cartesian coordinate system with the center of the first drop zone as the origin; CN (n,α hd ) represents the heading angle of the transport aircraft when dropping airdropped items at the nth airdrop node, that is, the angle between the flight direction and due north.

[0089] For each airdrop where the dropped item is a vehicle, and the airdrop node is the one used for dispersion assessment, the first deviation distance (DV) is calculated based on the third number of non-precise airdrop nodes among these nodes, i.e., the number of airdrop nodes with a Typ value of 1, an EA value of 1, and an AC value of 0. EN (n,dv) and the second deviation distance DV EN (n,dl), the distribution area of ​​this airdrop can be determined using the following formulas (5)(6)(7):

[0090]

[0091]

[0092] SQ EN =9π×σv×σl(7)

[0093] Where, N EN The third number of airdrop nodes in a non-precise airdrop is represented by n = 1, 2, ..., N, where n represents the nth airdrop node, i.e., the node number. Sn represents the nth airdrop, σv represents the vertical distribution value of the airdrop, σl represents the horizontal distribution value of the airdrop, and SQ EN This indicates the area of ​​the airdrop distribution.

[0094] Based on the range of airdrop nodes used for non-precise airdrop capability assessment, a preset dispersion area for the desired airdrop can be set. The calculated dispersion area of ​​the airdrop is compared with the preset dispersion area. If the dispersion area of ​​the airdrop is not greater than the preset dispersion area, it indicates that the airdrop capability meets the standard. If the dispersion area of ​​the airdrop is greater than the preset dispersion area, it indicates that the airdrop capability does not meet the standard.

[0095] This invention, through obtaining the marker position for whether an airdrop is precise, the heading angle of the airdrop equipment, the exit position, landing position, and type of the airdropped items corresponding to each airdrop node of the equipment system, determines the first deviation distance between the landing position of the airdropped items and the exit position in the heading direction of the airdrop equipment and the second deviation distance between the landing position and the exit position in the perpendicular direction of the heading direction of the airdrop equipment, further determining the dispersion area of ​​the airdrop, and determining whether the airdrop and air-drop capability meets the standards based on the dispersion area of ​​the airdrop.

[0096] Example 3:

[0097] To further evaluate the airdrop and airborne capability of the equipment system, based on the above embodiments, in this embodiment of the invention, the method includes: if there are associated airdrop nodes of an airdrop node, counting the number of associated airdrop nodes or airdrop nodes; determining a first distance between the landing position of the airdrop item of each airdrop node and the landing position of the airdrop item of each associated airdrop node, based on the landing position of the airdrop item of each airdrop node and the landing position of the airdrop item of each associated airdrop node; for each airdrop, counting the sum of the first distances in that airdrop, and determining the average distance based on the quotient of the sum of the first distances and the number; determining whether the airdrop and airborne capability meets the standard based on the average distance of each airdrop.

[0098] For each airdrop node, i.e., the airdrop action, if there are related airdrop actions, that is, if the airdrop item corresponding to the airdrop action is associated with other airdrop items after landing, then it can be considered that the airdrop node has associated airdrop nodes, and thus the number of associated airdrop nodes or airdrop nodes can be counted.

[0099] Specifically, the type of airdrop item obtained from the preset parameters corresponding to the airdrop node can be used to determine whether an airdrop node has associated airdrop nodes, and further count the number of associated airdrop nodes or airdrop nodes. Because the types of items dropped during an airdrop and the relationships between them are clear, it's possible to determine whether each airdrop node has associated airdrop nodes and which associated airdrop node it is. Another airdrop node may have multiple associated airdrop nodes, and multiple airdrop nodes may also have the same associated airdrop node. For the case where an airdrop node has multiple associated airdrop nodes, the number of associated airdrop nodes is counted; for the case where multiple airdrop nodes have the same associated airdrop node, the number of airdrop nodes is counted.

[0100] Once the associated airdrop nodes are known, the landing locations of the airdrop items for each airdrop node and its corresponding associated airdrop nodes can be determined. That is, based on the landing locations of the airdrop items collected for each airdrop node, the landing locations of the airdrop items for each associated airdrop node can be determined, and the first distance between the landing locations of the airdrop items for each airdrop node and the landing locations of the airdrop items for each associated airdrop node can be further determined.

[0101] For each airdrop, the sum of the first distances in that airdrop is calculated. The average distance in that airdrop is determined by dividing the sum of the first distances by the number of associated airdrop nodes or the total number of associated airdrop nodes. This average distance represents the landing locations of items dropped from airdrop nodes with associated nodes. Based on the average distance of each airdrop, it is determined whether the airdrop delivery capability meets the required standards.

[0102] Based on the range of airdrop nodes currently used for airdrop capability assessment, a preset average distance can be set for the expected airdrop. The calculated average distance of the airdrop is compared with the preset average distance. If the average distance of the airdrop is not greater than the preset average distance, it indicates that the airdrop capability meets the standard. If the average distance of the airdrop is greater than the preset average distance, it indicates that the airdrop capability does not meet the standard.

[0103] In this embodiment of the invention, based on the landing positions of the airdrop items of each airdrop node and the corresponding associated airdrop nodes, a first distance is determined between the landing position of the airdrop items of the airdrop node and the landing position of the airdrop items of each associated airdrop node; the average distance is determined based on the sum of the first distances in this airdrop and the quotient of the statistical associated airdrop nodes or airdrop nodes; and the airdrop drop capability is determined based on the average distance of each airdrop.

[0104] Example 4:

[0105] To determine whether an airdrop node has associated airdrop nodes, based on the above embodiments, in this embodiment of the invention, if the type of the airdropped item is passengers, passengers, or supplies, determining whether an airdrop node has associated airdrop nodes includes: if the type of the airdropped item corresponding to the airdrop node is passengers, passengers, or supplies, then determining that the airdrop node corresponding to the vehicle carrying the airdropped item is an associated airdrop node of that airdrop node; or

[0106] If the type of airdrop item corresponding to the airdrop node is supplies, then the airdrop node corresponding to the personnel who transported the airdrop item is determined to be the associated airdrop node of the airdrop node.

[0107] Because airdrop nodes correspond to various airdrop item types, including passengers, passengers, porters, supplies, and vehicles, where passengers refer to drivers, passengers are those riding in vehicles, porters are those carrying supplies on foot, and supplies may be carried by vehicles or porters, passengers and passengers are associated with vehicles, while supplies are associated with either vehicles or porters. Therefore, if an airdrop node's airdrop item is a passenger, passenger, or supply, the airdrop node corresponding to the vehicle carrying that airdrop item is identified as an associated airdrop node; or, if the airdrop node's airdrop item is supplies, the airdrop node corresponding to the porters carrying that airdrop item is identified as an associated airdrop node.

[0108] In this embodiment of the invention, for airdrop nodes whose airdrop items are of the type of crew, passengers, or supplies, association rules are established according to the actual situation. This can determine whether each airdrop node has associated airdrop nodes, and the associated airdrop nodes corresponding to airdrop nodes that have associated airdrop nodes.

[0109] Example 5:

[0110] In order to count the number of associated airdrop nodes or airdrop nodes, based on the above embodiments, in this embodiment of the invention, if there is an airdrop node whose corresponding airdrop item type is passenger or occupant, and the associated airdrop node's airdrop item is the vehicle it carries, then the number of airdrop nodes is counted.

[0111] If an airdrop node corresponds to an airdrop item of the type "supplies", and the associated airdrop node is a transporter carrying supplies or a vehicle carrying supplies, then the number of associated airdrop nodes is counted.

[0112] Because the types of airdrop items corresponding to airdrop nodes include passengers, occupants, porters, supplies, vehicles, etc. Passengers refer to people who drive, occupants refer to people who ride in vehicles, porters refer to people who carry supplies on foot, and supplies may be carried by vehicles or carried by porters.

[0113] When the type of airdrop item corresponding to an airdrop node is passenger or passenger, and the airdrop item associated with the airdrop node is the vehicle it carries, passengers and passengers of multiple airdrop nodes may ride in the same airdrop node's vehicle. In other words, multiple airdrop nodes have the same associated node. For this type of airdrop node, the number of airdrop nodes is counted.

[0114] When the type of airdrop item corresponding to an airdrop node is supplies, and the airdrop item associated with an airdrop node is a person transporting supplies or a vehicle carrying supplies, the supplies of one airdrop node may be carried by the persons transporting supplies or vehicles of multiple airdrop nodes. In other words, there is a situation where one airdrop node has multiple associated airdrop nodes. For this type of airdrop node, the number of associated airdrop nodes is counted.

[0115] In this embodiment of the invention, for airdrop nodes whose airdrop items are of the type of crew, passengers, or supplies, rules for counting the number of associated airdrop nodes or airdrop nodes are established according to the actual situation. This can accurately count the number of associated airdrop nodes or airdrop nodes, thereby ensuring the accuracy of calculating the average distance of each airdrop.

[0116] In one possible implementation, the average distance between airdrop nodes of a given type of airdrop item can be calculated for airdrop nodes with associated nodes, based on the type of airdrop item.

[0117] Specifically, based on the following formula (8), the number N of airdrop nodes whose airdrop items are of the type of supplies and whose airdrop items associated with the airdrop nodes are of the type of vehicles or transport personnel is determined. CG Based on the following formula (9), the number N of airdrop nodes whose airdrop item type is personnel and whose personnel type is passenger, and whose associated airdrop item type is vehicle, is calculated. CR Based on the following formula (10), the number N of airdrop nodes is determined by counting the types of airdrop items that are personnel and the personnel type is passenger, and the associated airdrop node has an airdrop item type of vehicle. PS :

[0118]

[0119]

[0120]

[0121] Where n = 1, 2, ..., N represents the nth airdrop node, that is, the sequence number of the airdrop node; S CN(n, Typ) represents the Typ value corresponding to the type of airdrop item for the airdrop node. Typ takes different values ​​depending on the type; for personnel, vehicles, and supplies, the values ​​are -1, 0, and 1, respectively. Crw represents the personnel type for airdrop nodes whose airdrop item is personnel. Crw also takes different values ​​depending on the personnel type; for passengers, transporters, and members, the values ​​are -1, 0, and 1, respectively. Zn represents the number of associated airdrop nodes for airdrop nodes whose airdrop item is supplies. Zn takes different values ​​depending on the situation; this is a specific example. In other cases, Zn can also represent the number of airdrop nodes.

[0122] Based on the landing locations of the airdropped items at each airdrop node and its corresponding associated airdrop nodes, determine the first distance between the landing locations of the airdropped items at each airdrop node and the landing locations of the airdropped items at each associated airdrop node. Specifically, based on the following formula (11), determine the first distance DV between the landing locations of the airdrop node and its associated airdrop nodes when the type of the airdropped item at the airdrop node is supplies and the type of the airdropped item at the associated airdrop node is vehicles or porters. EN (n,mR):

[0123]

[0124]

[0125] Among them, S CN (n, Typ) represents the Typ value corresponding to the type of airdrop item at the nth airdrop node, S CN (n,x ld ) and S CN (n,y ld S represents the x and y coordinates of the landing location of the airdrop item at the nth airdrop node. CN (f MN -1 (Blt zn ),x ld ) and S CN (f MN -1 (Blt zn ),y ld Zn represents the x and y coordinates of the landing location of the airdropped item from the associated airdrop node of the nth airdrop node. Zn represents the number of associated airdrop nodes of the airdrop node whose airdropped item is of the type "supplies".

[0126] Based on the following formula (12), determine the first distance DV between the landing position of the airdrop node whose airdrop item type is personnel and whose personnel type is occupant, and whose associated airdrop item type is vehicle, and the airdrop node whose associated airdrop item type is vehicle. EN (n,mR):

[0127]

[0128] Among them, S CN (n, Typ) represents the Typ value corresponding to the type of airdrop item at the nth airdrop node, S CN (n,Crw) represents the value of the personnel type for the airdrop item of the nth airdrop node, where the type is personnel. CN (n,x ld ) and S CN (n,y ld S represents the x and y coordinates of the landing location of the airdrop item at the nth airdrop node. CN (f MN -1 (Blt),x ld ) and S CN (f MN -1 (Blt),y ld ) represents the x and y coordinates of the landing location of the airdrop item of the associated airdrop node of the nth airdrop node.

[0129] Based on the following formula (13), when the type of airdrop item of the airdrop node is personnel and the personnel type is passenger, and the type of airdrop item of the associated airdrop node is vehicle, the first distance DV between the airdrop node and the landing position of the airdrop item of its associated airdrop node is determined. EN (n,mR):

[0130]

[0131] Among them, S CN (n, Typ) represents the Typ value corresponding to the type of airdrop item at the nth airdrop node, S CN (n,Crw) represents the value of the personnel type for the airdrop item of the nth airdrop node, where the type is personnel. CN (n,x ld ) and S CN (n,y ld S represents the x and y coordinates of the landing location of the airdrop item at the nth airdrop node. CN (f MN -1 (Blt zn ),x ld ) and S CN(f MN -1 (Blt zn ),y ld ) represents the x and y coordinates of the landing location of the airdrop item of the associated airdrop node of the nth airdrop node.

[0132] For each airdrop, the sum of the first distances in that airdrop is calculated, and the average distance is determined by the quotient of the sum of the first distances and the number of airdrop nodes with associated airdrop nodes. Specifically, based on formulas (8) and (11) and the following formula (14), the average distance RD between the landing positions of airdrop nodes whose airdrop items are of the type of supplies and whose associated airdrop items are of the type of vehicles or porters, and their associated airdrop nodes is determined. CG :

[0133]

[0134] Where, N CG This indicates the number of airdrop nodes where the type of airdropped item is supplies, and the associated airdrop node's airdrop item type is vehicles or transport personnel. Sn represents the number of airdrops performed, where n represents the nth airdrop node. CN (n,Typ)) Sn This represents the Typ value corresponding to the type of airdrop item at the nth airdrop node during the nth airdrop, (DV) EN (n,mR)) Sn This represents the first distance between the landing location of the nth airdrop item (which is a supply item) and the associated airdrop node (which is a vehicle or transporter item) during the nth airdrop.

[0135] Based on formulas (9) and (12) and the following formula (15), determine the average distance RD between the landing location of the airdropped item of type personnel and passenger, and the airdropped item of type vehicle associated with the airdrop node, and the airdropped item of the associated airdrop node. CR :

[0136]

[0137] Where, N CR This indicates the number of airdrop nodes where the type of airdrop item is personnel and the personnel type is occupants, and the associated airdrop node has an airdrop item type of vehicle. Sn represents the number of airdrops performed, where n represents the nth airdrop node. CN (n, Typ) represents the Typ value corresponding to the type of airdrop item at the nth airdrop node. (DV) EN (n,mR)) SnThis represents the first distance between the landing location of the airdrop node whose airdrop item type is personnel and whose personnel type is crew, and whose associated airdrop item type is vehicle, and the airdrop node of the Sn-th airdrop.

[0138] Based on formulas (10) and (13) and the following formula (16), determine the average distance RD between the landing location of the airdropped item of type personnel and passenger type, and the airdropped item of type vehicle associated with the airdrop node and its associated airdrop node. PS :

[0139]

[0140] Where, N PS This indicates the number of airdrop nodes where the type of airdrop item is personnel and the personnel type is passenger, and the associated airdrop node has an airdrop item type of vehicle. Sn represents the number of airdrops performed, and n represents the nth airdrop node. CN (n, Typ) represents the Typ value corresponding to the type of airdrop item at the nth airdrop node. (DV) EN (n,mR)) Sn This represents the first distance between the landing location of the airdrop node whose airdrop item type is personnel and whose personnel type is occupant, and whose associated airdrop item type is vehicle, and the airdrop node whose associated airdrop item type is vehicle, when the Sn-th airdrop occurs.

[0141] Based on the range of airdrop nodes for different types of airdrop items currently being assessed for airdrop capability, a preset average distance for the expected airdrop nodes for different types of airdrop items in this airdrop can be set. The calculated average distance for the airdrop nodes for different types of airdrop items in this airdrop is compared with the preset average distance for the expected airdrop nodes for different types of airdrop items. If the average distance for each type of airdrop item in this airdrop is not greater than the preset average distance, it indicates that the airdrop capability meets the standard. If the average distance for any type of airdrop item's airdrop node is greater than its corresponding preset average distance, it indicates that the airdrop capability does not meet the standard.

[0142] The airdrop capability is determined based on the average distance between the airdrop node for each different type of airdrop item and the landing location of the airdrop item at its corresponding associated airdrop node.

[0143] Example 6:

[0144] In order to further evaluate the airdrop and airborne capability of the equipment system, based on the above embodiments, in this embodiment of the invention, the preset parameters also include: a marker for whether the airdrop is precise and the landing position of the airdropped items at the airdrop node.

[0145] The method includes: for each airdrop, determining a second distance based on the predetermined airdrop location corresponding to the airdrop node of the precise airdrop in that airdrop, and the landing location of the airdropped items at the corresponding airdrop node; determining the average deviation value and circular error of that airdrop based on the second distance corresponding to each precise airdrop node and the fourth number of precise airdrop nodes; and determining whether the airdrop delivery capability meets the standard based on the average deviation value and circular error of each airdrop.

[0146] To evaluate the airdrop capability of the equipment system, it is necessary to collect information on the preset parameters corresponding to each airdrop node during each airdrop. These preset parameters include: a marker indicating whether the airdrop is precise, and the landing position of the airdropped item at the airdrop node. Specifically, the landing position of the airdropped item refers to the location where the airdropped item lands on the ground.

[0147] Airdrop nodes can be categorized into precision airdrops and non-precision airdrops. The flag indicating whether an airdrop is a precision airdrop is assigned to a node based on whether its corresponding airdrop method is precision. Furthermore, airdrop nodes using the precision airdrop method have pre-set landing locations for the airdropped items, i.e., the predetermined airdrop locations.

[0148] For each airdrop, based on the predetermined airdrop location corresponding to the airdrop node with the airdrop method of precision airdrop in that airdrop, and the landing location of the airdropped items of the corresponding airdrop node, the distance between the predetermined airdrop location of the airdrop node with the airdrop method of precision airdrop and the actual landing location of the airdropped items of that airdrop node is determined, which is the second distance.

[0149] Specifically, based on the predetermined airdrop location of the airdrop node and the obtained x-coordinate of the landing location of the airdropped item at that airdrop node, the lateral distance DV between the predetermined airdrop location of the airdrop node and the actual landing location of the airdropped item at that airdrop node can be determined according to the following formula (17). EN (n,rx):

[0150] DV EN (n,rx)=S CN (n,AC)×(S CN (n,x ld )-S CN (n,x et ))(17)

[0151] Among them, S CN(n, Ac) indicates whether the airdrop method of the nth airdrop node is a precise airdrop; if so, then S CN The value corresponding to (n, Ac) is 1; otherwise, S CN The value corresponding to (n, Ac) is 0; S CN (n,x ld ) and S CN (n,x et ) represents the x-coordinate of the predetermined airdrop location of the nth airdrop node and the landing location of the airdropped items obtained from that airdrop node.

[0152] Based on the predetermined airdrop location of the airdrop node and the obtained ordinate of the landing location of the airdropped item at that airdrop node, the longitudinal distance DV between the predetermined airdrop location of the airdrop node and the actual landing location of the airdropped item at that airdrop node is determined according to the following formula (18). EN (n,ry):

[0153] DV EN (n,ry)=S CN (n,AC)×(S CN (n,y ld )-S CN (n,y et ))(18)

[0154] Among them, S CN (n, Ac) indicates whether the airdrop method of the nth airdrop node is a precise airdrop; if so, then S CN The value corresponding to (n, Ac) is 1; otherwise, S CN The value corresponding to (n, Ac) is 0; S CN (n,y ld ) and S CN (n,y et ) represents the ordinate of the predetermined airdrop location of the nth airdrop node and the landing location of the airdropped items obtained from that airdrop node.

[0155] The lateral distance DV between the predetermined airdrop location of the airdrop node and the actual landing location of the airdropped items is used for precise airdrops. EN (n,rx) and longitudinal distance DV EN (n,ry), based on the following formula (19), determine the second distance rσ between the predetermined airdrop location of each precise airdrop node and the actual landing location of the airdropped item at that airdrop node:

[0156]

[0157] Where Sn represents the number of airdrops, and n represents the nth airdrop node, (DV EN(n,rx)) Sn and (DV) EN (n,ry)) Sn N represents the lateral and longitudinal distances between the predetermined location of the airdrop node for the nth precise airdrop and the actual landing location of the airdropped item at that airdrop node during the nth airdrop. AC This indicates the fourth number of airdrop nodes for precise airdrops.

[0158] Based on the second distance corresponding to each precise airdrop node and the fourth number of precise airdrop nodes, the average deviation and circular error of the airdrop are determined. The average deviation is the average of the second distances corresponding to all precise airdrop nodes in that airdrop. Circular error, also called circular probability error, is one of the measures of the dispersion or density of landing positions of airdropped items. It means the radius of a circle centered on the average landing position and including 50% of the landing positions on the landing plane. For example, a circular error of 1km means that only 50% of the landing positions fall within a circle with a diameter of 1km. Therefore, for each precise airdrop node in each airdrop, the smaller the circular error value, the higher the accuracy of the precise airdrop; conversely, the larger the circular error value, the worse the accuracy of the precise airdrop. Based on the average deviation and circular error of each airdrop, it is determined whether the airdrop capability meets the standards.

[0159] Specifically, based on the second distance rσ corresponding to each precise airdrop node, and the fourth number N of precise airdrop nodes... AC Based on the following formula (20), the average deviation value DR of this airdrop is determined. E :

[0160]

[0161] Where Sn represents the number of airdrops, and n represents the nth airdrop node, (DV EN (n,rx)) Sn and (DV) EN (n,ry)) Sn N represents the lateral and longitudinal distances between the predetermined location of the airdrop node for the nth precise airdrop and the actual landing location of the airdropped item at that airdrop node during the nth airdrop. AC This indicates the fourth number of airdrop nodes for precise airdrops.

[0162] Based on the second distance rσ corresponding to each precise airdrop node, and the fourth number N of precise airdrop nodes. AC Based on the following formula (21), the circular probability error DR of this airdrop is determined. cep ;

[0163]

[0164] Where rσ represents the second distance corresponding to the drop node of each precise airdrop, Sn represents the number of airdrops performed, and N AC This indicates the fourth number of airdrop nodes for precise airdrops.

[0165] Based on the range of airdrop nodes currently used for airdrop capability assessment, a preset average deviation value and a preset circular error can be set for the expected airdrop. The calculated average deviation value and circular error of the airdrop are compared with the preset average deviation value and preset circular error, respectively. If the average deviation value and circular error of the airdrop are not greater than the preset average deviation value and preset circular error, it indicates that the airdrop capability meets the standard. If the average deviation value or circular error of the airdrop is greater than the preset average deviation value or preset circular error, it indicates that the airdrop capability does not meet the standard.

[0166] In this embodiment of the invention, for each airdrop, a second distance is determined based on the predetermined airdrop location corresponding to the airdrop node of the precise airdrop in that airdrop and the landing location of the airdrop item at the corresponding airdrop node. The average deviation value and circular error of that airdrop are further determined. Based on the average deviation value and circular error of each airdrop, it is determined whether the airdrop drop capability meets the standard.

[0167] Example 7:

[0168] To further evaluate the airdrop and airborne capabilities of the equipment system, based on the above embodiments, in this embodiment of the invention, the preset parameters also include: a marker indicating whether the airdrop is precise, the time of the airdropped items' exit from the cabin, and the landing time of the airdropped items.

[0169] The method further includes: for each airdrop, determining the landing time of each airdrop item based on the exit time and landing time of the airdrop item; determining the average landing time based on the third number of non-precise airdrop nodes and the sum of the landing times; and determining whether the airdrop capability meets the standard based on the average landing time of each airdrop.

[0170] In order to evaluate the airdrop and airborne capabilities of the equipment system, it is necessary to collect information on the preset parameters corresponding to each airdrop node during each airdrop. These preset parameters also include: the marker for whether the airdrop is precise, the time of the airdropped items' exit from the cabin, and the landing time of the airdropped items.

[0171] Airdrop methods for airdrop nodes can be divided into precision airdrops and non-precision airdrops. The flag indicating whether an airdrop is a precision airdrop is used to mark the airdrop node based on whether the corresponding airdrop method is a precision airdrop. The time of exiting the airdrop cargo and the time of landing the airdrop cargo refer to the time when the airdrop cargo leaves the transport aircraft's cargo door and the time when the airdrop cargo lands on the ground.

[0172] For each airdrop, the landing time of each airdrop item is determined based on the time it leaves the transport aircraft and the time it lands. In other words, the landing time of each airdrop item is determined by the time difference between the time it leaves the transport aircraft door and the time it takes for the airdrop item to land on the ground.

[0173] The average landing time is determined by summing the third number of non-precise airdrop nodes and their landing times. This means that for each airdrop, the average landing time is determined by the ratio of the sum of the landing times of the airdrop items at each airdrop node to the third number of non-precise airdrop nodes.

[0174] Specifically, the average landing time DT for this airdrop is determined based on the following formula (22). EN :

[0175]

[0176] Where Sn represents the number of airdrops, n represents the nth airdrop node, and N EN Indicates the third number of non-precise drop nodes, (SE) CN (n,Tld)) Sn and (SE) CN (n,Toc)) Sn This represents the ejection time and landing time of the airdropped item at the nth airdrop node during the nth airdrop, (SE) CN (n,EA)) Sn This indicates the value of the flag indicating whether the nth airdrop node is subject to a distribution evaluation during the nth airdrop.

[0177] Based on the range of airdrop nodes currently used for airdrop capability assessment, a preset average landing time can be set for the expected airdrop. The calculated average landing time of the airdrop is compared with the preset average landing time. If the average landing time of the airdrop is not greater than the preset average landing time, it indicates that the airdrop capability meets the standard. If the average landing time of the airdrop is greater than the preset average landing time, it indicates that the airdrop capability does not meet the standard.

[0178] This invention determines the landing time of each airdrop item by acquiring the flag indicating whether the airdrop node is a precise airdrop, the exit time of the airdrop item, and the landing time of the airdrop item for each airdrop. Based on the third number of non-precise airdrop nodes and the sum of the landing times, the average landing time is further determined. Based on the average landing time of each airdrop, it is determined whether the airdrop capability meets the standard.

[0179] In one possible implementation, the methods described in the above embodiments can be combined to determine whether the airdrop capability meets the standards.

[0180] The following will illustrate this with specific examples.

[0181] Obtain the current airdrop level and its corresponding airdrop node for airdrop capability assessment. Figure 2a This is one of the airdrop / parachuting scenario diagrams provided in an embodiment of the present invention. Figure 2b This is a second illustration of an airdrop / parachuting scenario provided as an embodiment of the present invention. For example... Figure 2a and Figure 2b As shown, the drop zone is approximately 2 km x 1 km in size. Two transport aircraft will airdrop side-by-side (black dots indicate planned drop points), with a distance of approximately 400 meters between them. The transport aircraft's heading will be aligned with the y-axis of the drop zone. Each transport aircraft will airdrop 3 times within the drop zone, with a 500-meter interval between drops. The brigade command post, mechanized infantry battalion (with one mechanized infantry company under its command), and support team will airdrop in 3 waves with 6 sorties. In the first wave, the 1st and 2nd sorties will airdrop 4 mechanized infantry company vehicles and their crews and personnel. In the second wave, the 3rd and 4th sorties will airdrop the battalion command vehicle and its commander and crew, as well as 3 mechanized infantry company vehicles and their crews and personnel. In the third wave, the 5th and 6th sorties will airdrop the brigade command vehicle and its commander and crew, 2 support team vehicles and their crews and personnel, and 2 precision-dropped supplies. For convenience, the time when the mechanized infantry company's vehicle exits the airship is set to 0.

[0182] There is one airdrop site, FN=1, marked as F1. The center of the airdrop site is the origin of the coordinate system, denoted as O(0,0). There are six airdrop sorties, AN=6, marked as A1…An…A6. There are three types of airdrop systems, K=3, representing personnel parachutes, heavy equipment airdrop systems, and precision airdrop systems, marked as M1, M2, and M3 respectively. Crew members and personnel are airdropped by personnel parachutes, vehicles are airdropped by heavy equipment airdrop systems, and supplies are airdropped by precision airdrop systems.

[0183] Obtain the airdrop level and its corresponding airdrop nodes for the current airdrop capability assessment. Among these, there are 1 brigade-level command post (H=1), designated L1, which is the brigade's forward command post. This brigade-level command post has 7 airdrop nodes (G1=7), including 4 commanders (personnel), 2 crew members, and 1 command vehicle, forming the brigade-level command post airdrop node matrix. as follows:

[0184]

[0185] L11 is the command vehicle, L12-L13 are the crew of L11, and L14-L17 are the personnel (brigade command personnel).

[0186] There are a total of 2 battalion / brigade-level directly subordinate units, I, including a mechanized infantry battalion and a brigade support team, labeled Y1 and Y2. The mechanized infantry battalion has 1 command post and Q1 = 7 airdrop nodes; the brigade support team has Q2 = 12 airdrop nodes.

[0187] Among them, the airdrop node matrix of the mechanized infantry battalion command post The statement is as follows:

[0188]

[0189] Y11 is the command vehicle, Y12-Y13 are the crew of Y11, and Y14-Y17 are the personnel carriers (battalion commanders).

[0190] Among them, the airdrop node matrix of the brigade support team The statement is as follows:

[0191]

[0192] Among them, Y21 is the support vehicle 1, Y22-Y23 are the crew of Y21, and Y24-Y25 are passenger vehicles; Y26 is the support vehicle 2, Y27-Y28 are the crew of Y26, and Y29-Y2 10 For crew; Y2 11 Y2 12 To ensure the supply of team materials.

[0193] (3) The mechanized infantry battalion has a total of Ji = 1 company-level / battalion-level directly subordinate units, including 1 mechanized infantry company, marked as Y1B1, with D11 = 49 airdrop nodes. The mechanized infantry company airdrop node matrix is ​​as follows. The statement is as follows:

[0194]

[0195] Y1B11 is the mechanized infantry vehicle 1; Y1B12-Y1B13 are the crew of Y1B11; Y1B14-Y1B17 are the passenger vehicles.

[0196] Y1B18 is a mechanized infantry unit with two vehicles; Y1B19~Y1B1 10 For crew members of Y1B18, Y1B1 11 ~Y1B1 14 For carrying passengers;

[0197] Y1B1 15 For the mechanized infantry company 3 vehicles, Y1B1 16 ~Y1B1 17Y1B1 15 Crew, Y1B1 18 ~Y1B1 21 For carrying passengers;

[0198] Y1B1 22 For the four mechanized infantry vehicles, Y1B1 23 ~Y1B1 24 Y1B1 22 Crew, Y1B1 25 ~Y1B1 28 For carrying passengers;

[0199] Y1B1 29 For the 5-car mechanized infantry unit, Y1B1 30 ~Y1B1 31 Y1B1 29 Crew, Y1B1 32 ~Y1B1 35 For carrying passengers;

[0200] Y1B1 36 For the 6-vehicle mechanized infantry unit, Y1B1 37 ~Y1B1 38 Y1B1 36 Crew, Y1B1 39 ~Y1B1 42 For carrying passengers;

[0201] Y1B1 43 For the 6-vehicle mechanized infantry unit, Y1B1 44 ~Y1B1 45 For the crew of Y1B11, Y1B1 46 ~Y1B1 49 For carrying passengers.

[0202] Determine the range of airdrop nodes to be evaluated. All airdrop nodes were selected as the deployment scope for this system's airdrop and airborne capability assessment, i.e.

[0203] Information from each airdrop node was collected and recorded, and then organized into an airdrop node information matrix as follows.

[0204]

[0205] In the formula, n = 1, 2, ... N represents the nth airdrop node, that is, the sequence number of the airdrop node; This is the allocation code for the airdrop node, assigning it to all airdrop nodes within the allocation range; Fd is the drop zone code, Ar is the airdrop sortie number, Typ is the type of airdropped item (Typ has different values ​​depending on the type; for personnel, vehicles, and supplies, Typ values ​​are -1, 0, and 1 respectively); Crw is the personnel type for the airdropped item (personnel); Crw has different values ​​depending on the personnel type (passengers, transport personnel, and crew members). Blt indicates the associated airdrop node; SG is the landing success flag, AC is the precise airdrop flag; Toc and Tld are the exit time and landing time of the airdrop node, in seconds; (x ld y ld ), (x oc y oc ), (x et y et α represents the two-dimensional coordinates of the landing position, exit position, and predetermined position of the airdropped item in a Cartesian coordinate system, with the center of the first drop zone as the origin and after coordinate transformation; α is the coordinates of the airdropped item in a Cartesian coordinate system. hd The heading angle of the transport aircraft when dropping airdropped items is the angle between the flight direction and true north; EA is a marker indicating whether a dispersion assessment should be conducted.

[0206] Information from each airdrop node was collected and recorded, and organized into Table 1 below, which summarizes the collected airdrop node information in the manner described above:

[0207]

[0208]

[0209]

[0210]

[0211] Table 1

[0212] The airdrop sorties requiring airdrop dispersion assessment are identified as A1 to A6, the drop zone as F1, and the airdrop system as M1. An information collection matrix is ​​then established. Evaluation range flags (see table above), calculate the number N of nodes to be evaluated in the inaccurate airdrop system. EN =75 and the number of nodes to be evaluated for the precision airdrop system N AC =2. Within the range of the airdrop node to be evaluated. Internally, calculate the airdrop assessment data matrix. The corresponding Table 2 is shown below:

[0213]

[0214]

[0215]

[0216] Table 2

[0217] Identify the capability indicators that need to be evaluated and set the expected preset values ​​for the range of airdrop nodes to be evaluated.

[0218] (1) Preset airdrop success rate: AS0 EN % = 95%.

[0219] (2) Preset airdrop distribution area: SQ0 EN =60000.

[0220] (3) Preset the average airdrop distance based on the type of airdropped item:

[0221] The average distance RD0 between the preset airdrop landing point and the associated vehicle / personnel CG =400;

[0222] The average distance RD0 between the preset occupant landing point and the associated vehicle CR =550;

[0223] The average distance RD0 between the preset occupant landing point and the associated vehicle PS =550.

[0224] (4) Preset average deviation value: DR0 E =28

[0225] Preset circularity probability error: DR0 cep =25.

[0226] (5) Preset average airdrop landing time: DT0 EN =70

[0227] Based on Tables 1 and 2 above, and the values ​​corresponding to each capability indicator item that needs to be evaluated for this airdrop are calculated in conjunction with the above-described embodiments. Combined with the preset values, the airdrop capability of this airdrop is evaluated as follows:

[0228] (1) Assess the success rate of airdrops

[0229] AS EN % = 97.3% ≥ AS0 EN % = 95%

[0230] This ability value meets the standard.

[0231] (2) Assess the airdrop distribution area

[0232] σv=42.9

[0233] σl=46.8

[0234] SQ EN =56082≤SQ0 EN =60000

[0235] This ability value meets the standard.

[0236] (3) Assess the average distance between airdrop nodes and associated nodes based on the type of airdropped items.

[0237] ① Average distance between the landing point of the airdropped supplies and the associated vehicles / personnel:

[0238] RD CG =555.3≥RD0 CG =400

[0239] This ability value is below standard.

[0240] ②The average distance between the occupant landing point and the associated vehicle:

[0241] RD CR =499.7≤RD0 CR =550

[0242] This ability value meets the standard.

[0243] ③ The average distance between the landing point of the crew and the associated vehicle:

[0244] RD PS =506.4≤RD0 PS =550

[0245] This ability value meets the standard.

[0246] (4) Assess the average deviation and CEP of precision airdrop.

[0247] DR cep =23.6≤DR0 cep =25

[0248] DR E =25.3≤DR0 E =28

[0249] This ability value meets the standard.

[0250] (5) Assess the average landing time of airdrops

[0251] DT EN =68.1≤DT0 EN =70

[0252] This ability value meets the standard.

[0253] The above analysis and evaluation show that, except for the average distance between the landing point of the airdropped supplies and the associated vehicles / personnel, all other capability indicators meet the requirements. The likely cause is an unreasonable airdrop sequence in the 6th sortie, specifically an inappropriate choice of distance between the landing locations of the vehicles and supplies. To avoid impacting other capability indicators, the order of the vehicles and personnel in the 6th sortie was changed, ensuring that the relative landing positions of the personnel, the brigade command vehicle, and the two support vehicles remained essentially unchanged, while simultaneously ensuring that the distance between the support vehicles and their respective targeted airdropped supplies was as close as possible.

[0254] Figure 3 This is an adjusted airdrop scenario diagram provided for an embodiment of the present invention. (See diagram below.) Figure 3 As shown, after resetting the airdrop scenario, since only the airdrop order of the 6th sortie was adjusted, most of the experimental data remained unchanged. By repeating the data collection and calculation process related to the precise airdrop supplies 2, and only re-evaluating the average distance between the landing point of the airdrop supplies and the vehicle to which they belong:

[0255] RD CG =304.7≤RD0 CG =400

[0256] After the adjustment, the airdrop capability value meets the standard.

[0257] Based on the above embodiments, the present invention also provides an equipment system airdrop and airborne capability assessment device. Figure 4 This is a schematic diagram of the structure of an equipment system airdrop and airborne capability assessment device provided in an embodiment of the present invention, as shown below. Figure 4 As shown, the device includes:

[0258] The data acquisition module 401 is used to acquire all airdrop nodes of the equipment system currently undergoing airdrop and airdrop capability assessment when the conditions for assessing the airdrop and airdrop capability of the equipment system are met; and to acquire information on each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters include: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was conducted.

[0259] The determination module 402 is used to determine the success rate of each airdrop based on the first number of successfully landing airdrop nodes among the airdrop nodes that have undergone dispersion assessment and the second number of airdrop nodes that have undergone dispersion assessment; and to determine whether the airdrop airdrop capability meets the standard based on the success rate of each airdrop.

[0260] In one possible implementation, the acquisition module 401 is specifically used to acquire information of each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters include: a flag indicating whether the airdrop is precise, the heading angle of the airdrop equipment corresponding to the airdrop node, the exit position of the airdropped item at the airdrop node, the landing position of the airdropped item, and the type of the airdropped item.

[0261] The determining module 402 is further configured to: if the airdrop node is an airdrop node for dispersion assessment and the type of airdropped item is a vehicle, determine, based on the exit position, landing position, and heading angle corresponding to the airdrop node, a first deviation distance between the landing position and the exit position in the heading direction of the airdrop equipment, and a second deviation distance between the landing position and the exit position in the direction perpendicular to the heading direction of the airdrop equipment; for each airdrop where the airdropped item is a vehicle and the airdrop node is for dispersion assessment, determine the dispersion area of ​​the airdrop based on a third number of non-precise airdrop nodes, the first deviation distance, and the second deviation distance; and determine whether the airdrop drop capability meets the standard based on the dispersion area of ​​each airdrop.

[0262] In one possible implementation, the acquisition module 401 is further used to count the number of associated airdrop nodes or airdrop nodes if there are associated airdrop nodes of an airdrop node.

[0263] The determining module 402 is further configured to determine a first distance between the landing position of the airdrop item of each airdrop node and the landing position of the airdrop item of each associated airdrop node, based on the landing position of the airdrop item of each airdrop node and the landing position of the airdrop item of each associated airdrop node; for each airdrop, to calculate the sum of the first distances in that airdrop, and to determine the average distance based on the quotient of the sum of the first distances and the quantity; and to determine whether the airdrop drop capability meets the standard based on the average distance of each airdrop.

[0264] In one possible implementation, the acquisition module 401 is specifically used to determine whether an airdrop node has an associated airdrop node if the type of the airdropped item is passengers, personnel, or supplies. This includes: if the type of airdropped item corresponding to the airdrop node is passengers, personnel, or supplies, then determining the airdrop node corresponding to the vehicle carrying the airdropped item as an associated airdrop node of the airdrop node; or, if the type of airdropped item corresponding to the airdrop node is supplies, then determining the airdrop node corresponding to the personnel who transported the airdropped item as an associated airdrop node of the airdrop node.

[0265] In one possible implementation, the data collection module 401 is specifically used to count the number of associated airdrop nodes or airdrop nodes if there are associated airdrop nodes. This includes: if the type of airdrop item corresponding to an airdrop node is passengers or occupants, and the airdrop item of the associated airdrop node is the vehicle it carries, then the number of airdrop nodes is counted; if the type of airdrop item corresponding to an airdrop node is supplies, and the airdrop item of the associated airdrop node is the personnel transporting the supplies or the vehicle carrying the supplies, then the number of associated airdrop nodes is counted.

[0266] In one possible implementation, the determining module 402 is further configured to, for each airdrop, determine a second distance based on the predetermined airdrop location corresponding to the airdrop node of the precise airdrop in that airdrop and the landing location of the airdrop item corresponding to the airdrop node; determine the average deviation value and circular error of that airdrop based on the second distance corresponding to each precise airdrop node and the fourth number of precise airdrop nodes; and determine whether the airdrop drop capability meets the standard based on the average deviation value and circular error of each airdrop.

[0267] In one possible implementation, the acquisition module 401 is specifically used to acquire information on each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters further include: the time of the airdropped item's exit from the cabin and the landing time of the airdropped item.

[0268] The determining module 402 is further configured to, for each airdrop, determine the landing time of each airdrop item based on the exit time and landing time of the airdrop item; determine the average landing time based on the third number of non-precise airdrop nodes and the sum of the landing times; and determine whether the airdrop capability meets the standard based on the average landing time of each airdrop.

[0269] The device can be specifically deployed in a terminal, and other functions of the terminal are described in the other embodiments above.

[0270] Based on the above embodiments, this invention also provides an electronic device. Figure 5 This is a schematic diagram of an electronic device structure provided in an embodiment of the present invention, such as... Figure 5 As shown, it includes: processor 501, communication interface 502, memory 503 and communication bus 504, wherein processor 501, communication interface 502 and memory 503 communicate with each other through communication bus 504.

[0271] The memory 503 stores a computer program, which, when executed by the processor 501, causes the processor 501 to perform the steps of any of the equipment system airdrop and airborne capability assessment methods described above.

[0272] Since the principle behind the problem-solving of the aforementioned electronic devices is similar to the method for assessing the airdrop and airborne capabilities of equipment systems, the implementation of the aforementioned electronic devices can be found in the implementation of the method, and the repetitive parts will not be repeated.

[0273] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0274] Communication interface 502 is used for communication between the above-mentioned electronic device and other devices.

[0275] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0276] The processors mentioned above can be general-purpose processors, including central processing units, network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits, field-programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0277] Based on the above embodiments, this invention provides a computer-readable storage medium storing a computer program executable by an electronic device. When the program is run on the electronic device, the electronic device executes the steps of the equipment system airdrop and airborne capability assessment method described above.

[0278] The aforementioned computer-readable storage medium can be any available medium or data storage device that can be accessed by the processor in an electronic device, including but not limited to magnetic storage such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), optical storage such as CDs, DVDs, BDs, HVDs, etc., and semiconductor storage such as ROMs, EPROMs, EEPROMs, non-volatile memory (NAND flash), solid-state drives (SSDs), etc.

[0279] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0280] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0281] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0282] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0283] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for evaluating the airdrop and airborne capability of an equipment system, characterized in that, The method includes: When the conditions for assessing the airdrop and airborne capability of the equipment system are met, obtain all airdrop nodes of the equipment system currently undergoing airdrop and airborne capability assessment. Collect information on each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters include: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was performed. For each airdrop, the success rate of the airdrop is determined based on the first number of successfully landing airdrop nodes among the airdrop nodes that have undergone dispersion assessment and the second number of airdrop nodes that have undergone dispersion assessment; based on the success rate of each airdrop, it is determined whether the airdrop drop capability meets the standard. The preset parameters also include: a marker indicating whether the airdrop is precise, the heading angle of the airdrop equipment corresponding to the airdrop node, the exit position of the airdropped item at the airdrop node, the landing position of the airdropped item, and the type of the airdropped item. If the airdrop node is for dispersion assessment and the type of airdropped item is a vehicle, the first deviation distance between the landing position and the exit position in the airdrop equipment's heading direction and the exit position is determined based on the exit position, landing position, and heading angle corresponding to the airdrop node. The second deviation distance between the landing position and the exit position in the direction perpendicular to the airdrop equipment's heading direction is also determined. For each airdrop where the airdropped item is a vehicle and the airdrop node is for dispersion assessment, the dispersion area of ​​the airdrop is determined based on the third number of non-precise airdrop nodes, the first deviation distance, and the second deviation distance. Based on the dispersion area of ​​each airdrop, it is determined whether the airdrop capability meets the standards.

2. The method according to claim 1, characterized in that, The method includes: If there are associated airdrop nodes, count the number of associated airdrop nodes or airdrop nodes; based on the landing locations of the airdrop items of each airdrop node and its corresponding associated airdrop nodes, determine the first distance between the landing location of the airdrop items of the airdrop node and the landing location of the airdrop items of each associated airdrop node. For each airdrop, the sum of the first distances in that airdrop is calculated, and the average distance is determined based on the quotient of the sum of the first distances and the quantity. Determine whether the airdrop capability meets the standard based on the average distance of each airdrop.

3. The method according to claim 2, characterized in that, If the type of airdropped item is crew, passengers, or supplies, determining whether an airdrop node has an associated airdrop node includes: If the type of airdrop item corresponding to the airdrop node is passenger, occupant, or supplies, then the airdrop node corresponding to the vehicle carrying the airdrop item is determined as the associated airdrop node of that airdrop node; or If the type of airdrop item corresponding to the airdrop node is supplies, then the airdrop node corresponding to the person who transports the airdrop item is determined to be the associated airdrop node of the airdrop node.

4. The method according to claim 3, characterized in that, If there are associated airdrop nodes, the count of associated airdrop nodes or airdrop nodes includes: If there exists an airdrop node whose corresponding airdrop item type is passenger or passenger-carrying, and the airdrop item associated with the airdrop node is the vehicle it carries, then count the number of airdrop nodes. If an airdrop node corresponds to an airdrop item of the type "supplies", and the associated airdrop node is a transporter carrying supplies or a vehicle carrying supplies, then the number of associated airdrop nodes is counted.

5. The method according to claim 1, characterized in that, The preset parameters also include: a flag indicating whether the airdrop is precise, and the landing location of the airdropped items at the airdrop node; The method includes: For each airdrop, the second distance is determined based on the predetermined location of the airdrop node corresponding to the precise airdrop in that airdrop and the landing location of the airdrop items at the corresponding airdrop node; based on the second distance corresponding to each precise airdrop node and the fourth number of precise airdrop nodes, the average deviation value and circular probability error of that airdrop are determined. Based on the average deviation and circular error of each airdrop, determine whether the airdrop capability meets the standards.

6. The method according to claim 1, characterized in that, The preset parameters also include: Whether the airdrop marker position is accurate, the time of airdropped items leaving the cabin, and the landing time of airdropped items; The method further includes: For each airdrop, the landing time of each airdrop item is determined based on the airdrop item's exit time and landing time; the average landing time is determined based on the third number of non-precise airdrop nodes and the sum of the landing times. The airdrop capability is determined based on the average landing time of each airdrop.

7. A device for evaluating the airdrop and airborne capability of an equipment system, characterized in that, The device includes: The data acquisition module is used to acquire all airdrop nodes of the equipment system currently undergoing airdrop capability assessment when the conditions for airdrop and airdrop capability assessment are met; and to acquire information on each preset parameter corresponding to each airdrop node during each airdrop, wherein the preset parameters include: a flag indicating whether the landing was successful and a flag indicating whether a dispersion assessment was conducted. The determination module is used to determine the success rate of each airdrop based on a first number of successfully landing airdrop nodes among the airdrop nodes that have undergone dispersion assessment and a second number of airdrop nodes that have undergone dispersion assessment; and to determine whether the airdrop airdrop capability meets the standard based on the success rate of each airdrop. The preset parameters also include: a marker indicating whether the airdrop is precise, the heading angle of the airdrop equipment corresponding to the airdrop node, the exit position of the airdropped item at the airdrop node, the landing position of the airdropped item, and the type of the airdropped item. The determining module is further configured to: if the airdrop node is an airdrop node for dispersion assessment and the type of airdropped item is a vehicle, determine, based on the exit position, landing position, and heading angle corresponding to the airdrop node, a first deviation distance between the landing position and the exit position in the heading direction of the airdrop equipment, and a second deviation distance between the landing position and the exit position in the direction perpendicular to the heading direction of the airdrop equipment; for each airdrop where the airdropped item is a vehicle and the airdrop node is for dispersion assessment, determine the dispersion area of ​​the airdrop based on a third number of airdrop nodes with non-precise airdrops, the first deviation distance, and the second deviation distance; and determine whether the airdrop drop capability meets the standards based on the dispersion area of ​​each airdrop.

8. An electronic device, characterized in that, The electronic device includes at least a processor and a memory, the processor being configured to implement the steps of the method as described in any one of claims 1-6 when executing a computer program stored in the memory.

9. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the steps of the method as described in any one of claims 1-6.

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