Aircraft battle adaptability assessment method and device, computer equipment and medium

Abstract

The invention provides a method and device for evaluating the battle adaptability of an aircraft, computer equipment and a medium, and belongs to the technical field of aircraft capability evaluation.The method comprises the steps that historical work data, historical repair data and performance parameters of a target aircraft are obtained; determining a platform battle capability index of the target aircraft based on the historical working data and the historical repair data; based on the historical working data and the performance parameters, determining a task battle capability index of the target aircraft; obtaining a plurality of evaluation data of the target task, constructing a logist ic regression model based on the evaluation data and the task battle ability index, and determining a directional battle ability index of the target aircraft to the target task; and determining the battle-suitable capability of the target aircraft for the target task based on the directional battle-suitable capability index and the platform battle-suitable capability index, so that information in two aspects of the platform battle-suitable capability and the task battle-suitable capability is integrated, and the battle-suitable capability of the target aircraft for the target task can be reflected comprehensively and objectively.

Description

Technical Field

[0001] The present invention belongs to the technical field of aircraft capability evaluation, and in particular relates to an evaluation method, device, computer equipment and medium for aircraft combat capability. Background Art

[0002] With the development of science and technology, the requirements for aircraft capabilities are becoming increasingly higher, and multi-point support and mobile support have become the norm. Among them, higher requirements are placed on the quality and quantity of mission aircraft and mission selection.

[0003] How to adapt to diverse mission requirements based on mission assignments, rationally select mission-capable equipment from a limited number of available aircraft, and shift aircraft selection decisions from platform integrity to mission integrity is crucial for maximizing aircraft potential and improving mission success. The key to mission-oriented aircraft selection lies in assessing aircraft combat readiness. Combat readiness is the ability of an aircraft's technical condition to meet mission requirements and serves as a crucial reference for decision-makers in selecting mission aircraft.

[0004] Traditional planning and control departments mainly select mission aircraft based on platform integrity factors such as the aircraft's remaining life, reliability, and expected maintenance workload. Since the evaluation standards cannot meet the diverse requirements of the mission, problems such as tight aircraft resource scheduling and low mission matching are likely to occur.

[0005] Therefore, the assessment of aircraft combat suitability in the existing technology cannot be tailored to the specific circumstances of the actual mission, resulting in inaccurate assessment of aircraft combat suitability and affecting the aircraft's mission completion rate. Summary of the Invention

[0006] In order to solve the above-mentioned problem that the assessment of aircraft combat suitability cannot be tailored to actual tasks, resulting in inaccurate assessment of aircraft combat suitability, the present invention provides an aircraft combat suitability assessment method, apparatus, computer equipment and medium.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] First, a method for evaluating the combat suitability of an aircraft is provided, the method comprising:

[0009] Obtain historical operating data, historical repair data and performance parameters of the target aircraft;

[0010] Determining the availability and credibility of the target aircraft based on the historical operating data and the historical repair data, and determining the platform combat readiness index of the target aircraft based on the availability and credibility; the availability and credibility respectively characterize the probability that the target aircraft will remain in an operational state during operation in terms of time and number of times;

[0011] quantifying multiple performance indicators of the target aircraft based on the historical operating data and performance parameters;

[0012] The entropy method is used to estimate the weights of various performance indicators, and the mission combat capability index of the target aircraft is determined based on the quantified results and weights.

[0013] Acquire multiple evaluation data of the target task, and construct a logistic regression model based on the evaluation data and the task combat capability index;

[0014] Solve the logistic regression model to determine the target aircraft's directional combat capability index for the target mission;

[0015] The final combat capability of the target aircraft for the target mission is determined based on the directional combat capability index and the platform combat capability index.

[0016] Optionally, determining the availability and credibility of the target aircraft based on the historical working data and the historical repair data, and determining the platform combat capability index of the target aircraft based on the availability and credibility includes:

[0017] The calculation formula of the availability A1 is:

[0018]

[0019] The calculation formula of the credibility A2 is:

[0020]

[0021] The platform combat capability index of the target aircraft is determined based on the product of availability and credibility.

[0022] Optionally, the multiple performance indicators include survivability, detection capability, carrier aircraft performance, electronic warfare capability, weapon power, and avionics system performance; and quantifying the multiple performance indicators of the target aircraft based on the historical operating data and performance parameters includes:

[0023] determining a penetration capability index, a navigation capability index, and a survivability index of the target aircraft based on the historical working data, and quantifying the survivability according to the penetration capability index, the navigation capability index, and the survivability index to obtain a survivability index of the target aircraft;

[0024] Determining the maximum target detection range, maximum total search azimuth, system weight coefficient, number of simultaneously tracked targets, and number of simultaneously attackable targets of the target aircraft based on the performance parameters, determining the radar detection probability of the target aircraft based on the historical working data, and then quantifying the detection capability of the target aircraft to obtain a detection capability index of the target aircraft;

[0025] Determining a maneuverability index, a geometric integrity performance index, an endurance index, and a structural integrity performance index of the target aircraft based on the performance parameters, and then quantifying the carrier performance of the target aircraft to determine the carrier performance index of the target aircraft;

[0026] determining an electronic soft kill capability index, an electronic hard kill capability index, and an electronic defense capability index of the target aircraft based on the performance parameters, and then quantifying the electronic warfare capability of the target aircraft to determine the electronic warfare capability index of the target aircraft;

[0027] determining the target aircraft's air-to-air missile firepower index, ground-to-cruise missile firepower index, and aircraft / machine gun firepower index based on the performance parameters, thereby quantifying the target aircraft's weapon power and determining the target aircraft's weapon power index;

[0028] The bus load and delay time percentage of the target aircraft are determined based on the performance parameters, and the avionics system performance of the target aircraft is quantified to determine the avionics system performance index of the target aircraft.

[0029] Optionally, estimating the weight of each performance indicator by using an entropy method includes:

[0030] constructing a decision matrix based on multiple performance indicators based on the historical work data;

[0031] Solving the decision matrix, determining the entropy value of any performance indicator among the multiple performance indicators, and then determining the information utility value of the indicator based on the entropy value;

[0032] The information utility value is normalized to obtain the weight of the indicator.

[0033] Optionally, determining the final combat capability of the target aircraft for the target mission based on the directional combat capability index and the platform combat capability index includes:

[0034] When the directional combat capability index meets the expected requirements, the target aircraft is judged based on the evaluation data of the target mission and the platform combat capability index of the target aircraft;

[0035] When the platform combat capability index meets the corresponding requirements of the evaluation data of the target mission, the final combat capability of the target aircraft for the target mission is determined to be qualified.

[0036] Secondly, a device for evaluating the combat capability of an aircraft is also provided, the device comprising:

[0037] An acquisition module is used to obtain historical working data, historical repair data and performance parameters of the target aircraft;

[0038] an evaluation module for determining the availability and credibility of the target aircraft based on the historical operating data and the historical repair data, and determining a platform combat readiness index of the target aircraft based on the availability and credibility; the availability and credibility respectively representing the probability of the target aircraft remaining in an operational state during operation in terms of time and number of times;

[0039] A quantification module is used to quantify six indicators of the target aircraft's survivability, detection capability, carrier performance, electronic warfare capability, weapon power, and avionics system performance based on the historical working data and performance parameters;

[0040] The evaluation module is further configured to estimate the weight of each indicator using an entropy method, and determine the mission combat capability index of the target aircraft based on the quantified results and the weights;

[0041] The acquisition module is also used to acquire multiple evaluation data of the target task;

[0042] The evaluation module is also used to construct a logistic regression model based on the evaluation data and the mission combat capability index; solve the logistic model to determine the target aircraft's directional combat capability index for the target mission; and determine the target aircraft's combat capability for the target mission based on the directional combat capability index and the platform combat capability index.

[0043] In addition, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned method for evaluating the combat capability of an aircraft.

[0044] Finally, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for evaluating the combat suitability of an aircraft when executing the program.

[0045] The aircraft combat capability assessment method provided by the present invention has the following beneficial effects:

[0046] First, the target aircraft's availability and reliability are determined based on historical operating and repair data. These metrics, respectively, represent the probability of the aircraft remaining operational during its operational period, expressed in terms of time and frequency. Determining these two metrics helps understand the aircraft's stability and reliability, providing key information for assessing the platform's combat readiness. Second, six metrics are quantified based on historical operating data and performance parameters, and the weight of each metric is estimated using the entropy method. This objectively reflects the importance of each metric in the assessment, avoids bias caused by subjective judgment, and more accurately determines the target aircraft's mission combat readiness index. A logistic regression model is then established based on the assessment data and the mission combat readiness index. This model comprehensively considers multiple factors to predict the target aircraft's directional combat readiness, providing a more comprehensive understanding of the aircraft's combat capability for a specific mission. Finally, the target aircraft's combat readiness for the target mission is determined based on the directional combat readiness index and the platform combat readiness index. This step integrates information on both platform and mission combat readiness, comprehensively and objectively reflecting the target aircraft's combat readiness for the target mission. This in turn provides a more accurate understanding of the aircraft's combat potential for the specific mission, providing a basis for subsequent decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] To more clearly illustrate the embodiments of the present invention and its design, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be derived from these drawings without inventive effort.

[0048] Figure 1 The present invention is a flowchart of a method for evaluating aircraft combat capability according to an exemplary embodiment of the present invention.

[0049] Figure 2 This is a schematic diagram of comprehensive indicators of combat readiness according to an exemplary embodiment of the present invention.

[0050] Figure 3 The figure is a schematic diagram of a target aircraft selection process provided by the present invention according to an exemplary embodiment.

[0051] Figure 4 A block diagram of a device for evaluating aircraft combat capability provided by the present invention according to an exemplary embodiment. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the technical solution of the present invention and to be able to implement it, the present invention is described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and are not intended to limit the scope of protection of the present invention.

[0053] From the perspective of aircraft combat readiness, this problem can be transformed into a quantitative one. An index system is established, encompassing survivability, detection capability, aircraft performance, electronic warfare capability, weapon power, and avionics system performance. Based on this system, an in-depth study of each capability within the index system is conducted. Each performance parameter within the capability matrix has varying degrees of influence on the aircraft's combat readiness, necessitating the determination of weights for each. The weighting coefficients for the six capability indicators in the capability matrix are derived by summing the weights of the corresponding sub-indicators. The weights for each sub-indicator are then derived using the entropy method. Finally, the six weighted capability indicators are multiplied together, and the resulting results are used to analyze the mission aircraft's combat readiness. Furthermore, the impact of each indicator on the mission aircraft's combat readiness is investigated, and a sensitivity analysis is conducted to verify the reliability and rationality of the model.

[0054] Furthermore, to facilitate subsequent aircraft selection, a logistic model is used to further evaluate the combat suitability of mission aircraft. Given a mission, data on the Y value is collected for that specific mission, and coefficients are derived, forming a weight vector. This allows for a targeted assessment of the aircraft's combat suitability for that specific mission.

[0055] The technical solutions provided by various embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0056] First, the present invention provides a method for evaluating the combat capability of an aircraft, specifically Figure 1 As shown, the following steps are included:

[0057] S101. Acquire historical operating data, historical repair data, and performance parameters of a target aircraft.

[0058] Among them, the historical work data includes the number of historical operations, the time of each operation, and the performance parameters during operation; the historical repair data includes the number of historical repairs and the time of each repair; and the performance parameters include the physical size, configuration standards, hardware performance, and software performance of the target aircraft.

[0059] As the main force of air combat, aircraft, in addition to carrying out air defense missions, also perform some ground attack missions, such as air defense missions, long-range strike missions, ground support missions, intelligence collection missions, and accompaniment and escort missions. Specifically, air defense missions require aircraft to respond quickly, patrol border areas or around important targets, and intercept invading enemy aircraft; long-range strike missions require aircraft to have long-range strike capabilities, be able to carry and launch various weapons, and strike enemy targets to weaken enemy military forces or destroy enemy strategic facilities; ground support missions require aircraft to strike enemy ground targets, provide air support to friendly forces, and reduce enemy pressure on friendly forces; intelligence collection missions require aircraft to have advanced reconnaissance equipment to detect enemy military facilities, deployments, and activities, and collect intelligence to support combat plans and decisions; and accompaniment and escort missions require aircraft to intercept any enemy aircraft that poses a threat to the escorted aircraft.

[0060] It is not difficult to see from the air-to-ground combat missions performed by the aircraft that its own platform combat capability (such as reliability and availability) and mission combat capability (survivability, detection capability, electronic warfare capability, weapon power) will affect the execution and results of the mission. Therefore, in one embodiment, in order to better select the mission aircraft in the best condition, it is first necessary to determine the platform combat capability and mission combat capability of the target aircraft based on the historical working data, historical repair data and performance parameters of the target aircraft, and then construct a comprehensive indicator of the aircraft combat capability, specifically, Figure 2 shown.

[0061] S102: Determine the availability and credibility of the target aircraft based on the historical working data and the historical repair data, and determine the platform combat capability index of the target aircraft according to the availability and credibility.

[0062] The availability and reliability characterize the probability that the target aircraft remains in an operational state during operation in terms of time and number of times respectively.

[0063] Platform combat readiness refers to the ability of equipment to maintain a state of combat readiness when performing a mission. This was previously the primary method for selecting aircraft combat readiness. This process generally consists of two phases: pre-mission readiness and in-mission readiness. Pre-mission readiness depends on the equipment's availability, typically measured by its availability; in-mission readiness depends on the equipment's reliability, typically measured by its flight availability and reliability.

[0064] In one embodiment, the calculation formula of the availability A1 is:

[0065]

[0066] The calculation formula of the credibility A2 is:

[0067]

[0068] The platform combat capability index of the target aircraft is determined based on the product of availability and credibility.

[0069] S103. Determine a mission combat capability index of the target aircraft based on the historical operating data and performance parameters.

[0070] In one embodiment, multiple performance indicators of the target aircraft can be quantified based on the historical operating data and performance parameters; the weights of each indicator can be estimated using an entropy method, and the target aircraft's mission combat capability index can be determined based on the quantified results and weights. For example, each indicator can be weighted based on the estimated weights, and the target aircraft's mission combat capability index can be determined based on the calculated results.

[0071] An aircraft's mission suitability refers to its ability to complete a specific mission under specific conditions. Analysis of typical air-to-ground and air-to-ground combat missions reveals that mission suitability primarily depends on six key capabilities: survivability, detection capability, aircraft performance, electronic warfare capabilities and weapon power, and avionics system performance.

[0072] The first aspect is the survivability of the target aircraft.

[0073] An aircraft's survivability is its ability to maintain its performance in a mission environment despite various enemy attacks or interception methods. If an aircraft is completely destroyed by the enemy or damaged to the point where it can no longer complete its mission, it is considered to have lost its survivability. Therefore, based on this historical operational data, the target aircraft's penetration capability index, navigation capability index, and survivability index can be determined. This survivability index can then be quantified using these three indices to produce the target aircraft's survivability index.

[0074] 1) Penetration capability:

[0075] Aircraft can be used as penetration aircraft in ground combat operations. To attack ground targets and carry out combat missions to strike and damage the enemy, aircraft must first penetrate enemy air defenses. Penetration capability in ground combat is a direct manifestation of an aircraft's offensive capabilities and one of the most important indicators of survivability. Air attack aircraft penetration can be categorized as penetrating long-range interceptor aircraft, penetrating the defender's surface-to-air missiles, and penetrating short-range defense systems.

[0076] 2) Navigation capabilities:

[0077] A navigation system is actually a positioning system. There are radar and radio positioning systems, TACAN navigation systems, Doppler navigation systems, inertial navigation systems, and satellite navigation systems. Inertial navigation systems and satellite navigation systems are the two most commonly used navigation methods for aircraft during missions.

[0078] 3) Survival:

[0079] An aircraft's survivability is its ability to avoid and withstand man-made hostile environments. Survivability performance parameters include wingspan, overall length, and radar cross-section. Aircraft survivability design primarily aims to improve its survivability in a battlefield environment. Survivability is measured using the survivability coefficient.

[0080] Based on the above analysis, the survivability index S = (TF, DH, SCL) can be determined.

[0081] Among them, TF represents the penetration capability index; DH represents the navigation capability index; and SCL represents the survivability index.

[0082] Among them, penetration capability index: TF = f(TF f ,TF d ,TF g );

[0083] Among them, TF f Indicates the penetration interceptor capability, TF d Indicates the penetration surface-to-air missile capability; TF g Indicates the ability to penetrate anti-aircraft artillery positions (speed and number of weapons, etc.).

[0084] Navigation Index:

[0085] DH = f(accuracy, integrity, continuity, availability).

[0086] Viability index: SCL = f(YZ, QC, RCS);

[0087] Among them, YZ represents the wingspan of the mission aircraft; QC represents the total length of the mission aircraft; RCS represents the radar cross-sectional area.

[0088] The second aspect is the detection capability of the target aircraft.

[0089] Detection capability represents an aircraft's ability to detect and detect targets. Detection systems include radar and infrared detection systems. Key detection system performance indicators include detection range, detection probability, maximum detection range, number of detectable targets, number of trackable targets, total search azimuth, and measurement system. Based on these performance parameters, the target aircraft's maximum target detection range, maximum total search azimuth, system measurement coefficient, number of simultaneously tracked targets, and number of simultaneously attackable targets can be determined. Based on this historical operational data, the target aircraft's radar detection probability can be determined, thereby quantifying the target aircraft's detection capability and generating its detection capability index.

[0090] Based on the above analysis, the detection capability index can be determined:

[0091] T=f(RD,HW,M)

[0092] Among them, RD represents the radar detection capability index; HW represents the visual capability index; M represents the infrared search and tracking device detection capability index.

[0093] Among them, radar detection capability index:

[0094]

[0095] Among them, L RD Indicates the maximum target detection distance of the radar; Indicates the maximum total search azimuth of the radar; P RD represents the radar detection probability; K represents the radar system measurement coefficient; m1 represents the number of targets tracked simultaneously; m2 represents the number of targets allowed to be attacked simultaneously.

[0096] The calculation formulas for the infrared search and tracking device's detection capability index HW and visual capability index M are similar to those for the radar's detection capability index, except that the parameters in the formulas are corresponding parameters.

[0097] The third aspect is the carrier performance of the target aircraft.

[0098] Aircraft performance is studied from the perspective of aircraft design and is a comprehensive reflection of the carrier aircraft's inherent performance. It encompasses four aspects: maneuverability, geometric integrity, structural integrity, and endurance. Therefore, based on these performance parameters, the target aircraft's maneuverability index, geometric integrity index, endurance index, and structural integrity index can be determined. This, in turn, quantifies the carrier aircraft's performance and determines its carrier performance index.

[0099] 1) Mobility

[0100] Maneuverability is the ability of an aircraft to turn quickly and climb, reflecting its flexibility. Key performance parameters include the aircraft's maximum permissible overload, maximum stable hovering overload, and maximum residual power per unit weight.

[0101] 2) Geometric perfection

[0102] The geometric integrity parameters include the maximum cross-sectional area of ​​the fuselage, the aircraft projected area, the maximum cross-sectional area of ​​the engine, the maximum cross-sectional area of ​​the wing, the fuel capacity and the fuselage volume.

[0103] 3) Structural integrity

[0104] The structural integrity parameters include maximum take-off weight, aircraft volume, fuel weight in internal tanks, empty weight, airframe weight without landing gear, wetted area excluding nozzles, payload weight and empty weight.

[0105] 4) Battery life

[0106] The main endurance parameters include low-altitude flight per kilometer fuel consumption rate, immersion area, high-altitude flight per kilometer fuel consumption rate and average aircraft weight.

[0107] Based on the above analysis, the carrier performance index can be determined:

[0108] Among them, JD represents the maneuverability index; JH represents the geometric performance index; XH represents the endurance index; JG represents the structural performance index. 31 ,μ 32 ,μ 33 ,μ 34 It is a weighted system.

[0109] Among them, the mobility index is:

[0110] Among them, n ymax Indicates the maximum allowable overload of the aircraft; n y盘 It indicates the maximum stable hovering overload; SEP indicates the maximum residual power per unit weight.

[0111] Geometric Perfection Performance Index:

[0112]

[0113] in, Indicates the relative area of ​​the maximum cross-section of the fuselage, JSZDJMJ indicates the maximum cross-sectional area of ​​the fuselage, and FJYTYMJ indicates the projected area of ​​the aircraft; Indicates the relative area of ​​the maximum cross section of the engine, FDJZDJMMJ indicates the maximum cross section area of ​​the engine; Indicates the relative volume of the aircraft fuel tank, RYRJ indicates the fuel volume, and JTRJ indicates the aircraft body volume.321 ,μ 322 ,μ 323 It is a weighted system.

[0114] Structural integrity performance index:

[0115]

[0116] in, represents the aircraft layout density coefficient, QFZL represents the maximum take-off weight, and FJRJ represents the aircraft volume; Indicates the relative internal fuel volume, ZYL indicates the weight of the fuel in the internal tank, and KJZL indicates the empty weight; Indicates the airframe structure weight control integrity coefficient, BDQLJJTZL indicates the airframe weight without landing gear, and BHPGJRMJ indicates the airframe weight excluding the nozzle wetted area; Indicates the ratio of payload to empty weight, YXZHZL indicates the payload weight, and KJZL indicates the empty weight. 331 ,μ 332 ,μ 333 ,μ 334 It is a weighted system.

[0117] Endurance index:

[0118] in, It represents the relative kilometer fuel consumption rate of low-altitude flight, DKHYL represents the low-altitude flight kilometer fuel consumption rate, and JRMJ represents the wetted area; μ represents the relative fuel consumption per kilometer of high-altitude flight, GKHYL represents the fuel consumption per kilometer of high-altitude flight, and FXPJZL represents the average flight weight. 341 ,μ 342 It is a weighted system.

[0119] Fourthly, the target aircraft’s electronic warfare capability.

[0120] Electronic warfare capability is the operational capability of electronic countermeasures systems and equipment. It includes electronic soft-kill capability, electronic hard-kill capability, and electronic defense capability. Therefore, based on these performance parameters, the target aircraft's electronic soft-kill capability index, electronic hard-kill capability index, and electronic defense capability index can be determined. This quantifies the target aircraft's electronic warfare capability and determines its electronic warfare capability index.

[0121] 1) Electronic soft-kill capability

[0122] Because masking interference is an important means of hindering radar monitoring targets, the main consideration for electronic soft kill is the radar's masking interference capability, which is measured by the suppression coefficient. The main parameters include the external suppression coefficient, the bandwidth of the radar receiver signal, and the bandwidth of the radar transmitter signal.

[0123] 2) Electronic hard-kill capability

[0124] Electronic hard-kill capability is the performance of the anti-radiation missile's attack capability against radiation sources. It is expressed in terms of anti-radiation missile capability. The main parameters include command and guidance probability, target capture probability, target aiming probability and target killing probability.

[0125] 3) Electronic defense capabilities

[0126] Electronic defense is highly targeted, requiring appropriate measures based on the performance and tactical characteristics of enemy countermeasures. Electronic defense capabilities primarily consider counter-electronic reconnaissance capabilities, measured by the probability of intercepting a radiation source. Key parameters include the probability of a radiation source falling within the search area, the probability of contact between an electronic reconnaissance aircraft and the radiation signal, the probability of identifying the radiation source, the probability of an electronic reconnaissance receiver detecting the radiation signal per unit time under contact conditions, and the duration of the search.

[0127] Based on the above analysis, the electronic warfare capability index can be determined:

[0128] Among them, K a represents the electronic soft kill capability index; F represents the electronic hard kill capability index; P D Represents the electronic defense capability index, μ 41 ,μ 42 ,μ 43 It is a weighted system.

[0129] Among them, the electronic soft kill capability index:

[0130] Among them, K j Indicates the end external compression coefficient; Δf r represents the radar receiver signal bandwidth; Δf j Indicates the radar jammer signal bandwidth.

[0131] Electronic hard kill capability index: F = P s ·P l ·P a ·P k ;

[0132] Among them, P s represents the command and guidance probability; P l represents the target capture probability; P a represents the probability of aiming at the target; P k Indicates the probability of killing the target.

[0133] Electronic Defense Capability Index:

[0134] Among them, Pl Indicates the probability that the radiation source falls into the search area; P jl represents the probability of contact between the electronic reconnaissance aircraft and the radiation signal; q represents the probability of identifying the radiation source; D represents the probability of detecting the radiation signal per unit time by the electronic reconnaissance receiver under contact conditions; t represents the duration of the search.

[0135] Fifth, the weapon power of the target aircraft.

[0136] Weapon power is a direct indicator of tactical performance and plays a crucial role in warfare. Aircraft with both air-to-air and ground-to-ground combat capabilities are primarily equipped with advanced weaponry such as advanced medium-range air-to-air missiles, small homing attack cruise missiles, joint standoff cruise missiles, and machine guns or cannons. Therefore, based on these performance parameters, the target aircraft's air-to-air missile firepower index, ground-to-ground cruise missile firepower index, and machine gun / cannon firepower index can be determined, thereby quantifying the target aircraft's weapon power and determining its weapon power index.

[0137] 1) Advanced Medium-Range Air-to-Air Missiles

[0138] Advanced medium-range air-to-air missiles are the main weapons for aircraft air-to-air combat. Their main firepower parameters include the maximum practical effective range, the total allowable launch altitude difference, the probability of a single-shot kill, the total attack angle of the launch envelope, the maximum overload of the missile, the maximum tracking angular velocity of the missile, the total off-boresight launch angle, and the number of the same type of advanced medium-range air-to-air missiles loaded on the aircraft.

[0139] 2) Ground-attack cruise missiles

[0140] Whether it is a small offensive cruise missile or a joint beyond-visual-range attack missile, they are both powerful weapons for aircraft-to-ground combat. Their main firepower parameters include the number of the same type of ground-to-ground missiles mounted on the aircraft, missile range, weapon accuracy, warhead weight and other parameters.

[0141] 3) Aircraft gun or machine gun

[0142] In modern conditions, aircraft-mounted cannons are primarily used for close-range combat, specifically to fill the dead zone within the minimum range of air-to-air missiles. Given this tactical principle, high rate of fire and short reaction time are crucial technical indicators, making aircraft cannons a crucial close-in weapon for modern aircraft. Key performance parameters include firing rate, projectile muzzle velocity, projectile weight, projectile caliber, and the number of aircraft or machine guns deployed.

[0143] Based on the above analysis, the weapon power index can be determined:

[0144] Among them, KZ represents the air-to-air missile firepower index; DZ represents the ground cruise missile firepower index; P represents the aircraft gun / machine gun firepower index, μ51 ,μ 52 ,μ 53 It is a weighted system.

[0145] Among them, the air-to-air missile firepower index:

[0146]

[0147] Among them, KSC represents the actual effective range of the air-to-air missile; KSGC represents the total altitude difference allowed for the launch of the air-to-air missile; KDFSSGL represents the single-shot kill probability of the air-to-air missile; KZGJJ represents the total attack angle of the launch envelope of the air-to-air missile; KGZ represents the maximum overload of the air-to-air missile; KGZJSD represents the maximum tracking angular velocity of the air-to-air missile; KLZFSJ represents the total off-boresight launch angle of the air-to-air missile; and KSL represents the number of similar air-to-air missiles mounted.

[0148] Cruise missile firepower index:

[0149]

[0150] Among them, DSL represents the number of cruise missiles of the same type mounted; DMZJD represents the accuracy coefficient of the cruise missile weapon; DSC represents the range of the cruise missile; and DZYL represents the charge of the cruise missile warhead.

[0151] Aircraft gun / machine gun firepower index:

[0152]

[0153] Among them, PSS represents the rate of fire of the aircraft gun / machine gun; PDWCS represents the muzzle velocity of the aircraft gun / machine gun projectile; PDWZL represents the weight of the aircraft gun / machine gun projectile; PDWKJ represents the caliber of the aircraft gun / machine gun projectile.

[0154] Sixth, the avionics system performance of the target aircraft.

[0155] The primary consideration is the bus system within the avionics system, whose key performance parameters include bus load and latency percentage. Based on these performance parameters, the bus load and latency percentage of the target aircraft can be determined, thereby quantifying the target aircraft's avionics system performance and determining its avionics system performance index.

[0156] Based on the above analysis, the avionics system performance index can be determined:

[0157] Where ZXFZ represents the bus load; YCSL represents the delay time percentage. 61 ,μ 62 It is a weighted system.

[0158] After the six indicators of the target aircraft's survivability, detection capability, carrier performance, electronic warfare capability, weapon power and avionics system performance can be quantified, they need to be weighted according to their importance.

[0159] First, the importance of each indicator can be evaluated. For example, a sensitivity analysis based on perturbations can be performed on each indicator. Perturbation-based sensitivity analysis can be divided into studying whether a small change near a certain value can cause a huge change in the evaluation result, or studying the corresponding change in the evaluation result when a certain value of the factor under consideration changes from large to small or from small to large under the condition that other values ​​remain unchanged. Factors that can cause significant changes in the evaluation result when a small perturbation of a certain value is small are the most noteworthy factors; when the evaluation result increases with the increase of the factor value and reaches a fixed peak value, the factor value can be considered to be the optimal value of the factor. The present invention adopts a method that combines the two, that is, assuming that the other values ​​of the factor under consideration remain unchanged, whether a small change in the value can cause a huge change in the evaluation result.

[0160] Based on the above importance assessment, the weight of each performance indicator is estimated by the entropy method.

[0161] For example, a decision matrix based on multiple performance indicators is constructed according to the historical work data; the decision matrix is ​​solved to determine the entropy value of any performance indicator among the multiple performance indicators, and then the information utility value of the indicator is determined according to the entropy value; the information utility value is normalized to obtain the weight of the indicator.

[0162] For example, select samples from historical work data: select m samples with n indicators in total, X ij is the value of the jth indicator of the i-th sample, i = 1, 2, 3, L, m, j = 1, 2, 3, L, n.

[0163] Data standardization:

[0164] Positive correlation indicators:

[0165] For negative indicators (the smaller the better):

[0166] Calculate the proportion of the i-th sample under the j-th indicator (sample weight):

[0167]

[0168] Calculate the entropy value of the j-th indicator (indicator entropy value): Where m represents the number of samples.

[0169] Calculate the coefficient of variation of the j-th indicator: d j =1-e j

[0170] The information utility of an indicator depends on the difference between the information entropy of the indicator and 1, and its value directly affects the size of the weight. The larger the information utility value, the greater its importance to the evaluation and the greater the weight.

[0171] Calculate the evaluation index weight (the weight of the jth index):

[0172] The entropy method is used to estimate the weight of each indicator. Its essence is to use the coefficient of difference of the indicator information to calculate. The higher the coefficient of difference, the greater its importance to the evaluation.

[0173] The weights of each indicator obtained by the entropy method are introduced into the quantitative results of the above indicators, and the following model is constructed to obtain the mission combat capability index of the target aircraft:

[0174] MCC=f(S,T,Z,D,W,H)

[0175] Among them, MCC represents the mission combat capability index; S represents the survivability index; T represents the detection capability index; Z represents the aircraft performance index; D represents the electronic warfare capability index; W represents the weapon power index; H represents the avionics system performance index, and the function f can be taken in the form of a product of exponential powers.

[0176] S104. Determine the directional combat capability index of the target aircraft for the target mission based on the evaluation data of the target mission and the mission combat capability index of the target aircraft.

[0177] In one embodiment, multiple evaluation data of the target mission can be obtained first, and a logistic regression model can be constructed based on the evaluation data and the mission combat capability index; then, the logistic regression model can be solved to determine the directional combat capability index of the target aircraft for the target mission.

[0178] As a complex system with highly integrated electromechanical, avionics, weapons, and structure, an aircraft's mission suitability requires comprehensive analysis and evaluation across multiple metrics. However, different missions place varying demands on aircraft performance. Therefore, before establishing combat suitability metrics, we first analyze the aircraft's combat missions.

[0179] Specifically, a task can be given, and the data of the Y value can be collected by the specific task to obtain the coefficients, that is, a weight vector, and then the directional combat adaptability of the target aircraft can be evaluated.

[0180] Construct a logistic regression model as follows:

[0181]

[0182] p(y=1|x)=p

[0183] p(y=0|x)=1-p

[0184] In the above formula, It obeys the logistic distribution, p represents the probability that the mission aircraft is suitable for combat, and 1-p represents the probability that the mission aircraft is not suitable for combat.

[0185] Solve the model using the maximum likelihood method:

[0186] Construct the mathematical formula of maximum likelihood method:

[0187]

[0188] Where i represents the number of the mission aircraft.

[0189] Taking the logarithm of the above formula, we can get:

[0190]

[0191] Combined formula After conversion, we can get:

[0192]

[0193] When lnL reaches its maximum value, the estimated parameters β0,β1,L,β m That is the final regression coefficient of the logistic regression model, and the Newton iteration method is used to estimate β0, β1, L, β m :

[0194] Use Taylor expansion to find the extreme value of a function: y = f(x0) + f'(x0)(x-x0). Let the value of this formula be 0, and we can get the intersection point x1 of the above formula and the x-axis: Then, draw a slant line with the slope of f'(x1) from (x1,f(x1)) to find the intersection point x2 with the x-axis, and repeat this process until f(x n ) is infinitely close to 0, and the final iterative formula is:

[0195] Solve for the P value of each variable. If the P value of the variable is less than 0.05, it means that the variable has an impact on the Y value; otherwise, it has no impact.

[0196] In order to further evaluate the combat suitability of the target aircraft based on the actual mission, after a mission is given, the data of the Y value can be collected by the specific mission, and then the weight coefficient of each indicator can be obtained, that is, the target of a weight vector. The weight vector reflects the relative importance of the independent variable. The coefficient obtained in this way can be used to adjust the weight value obtained by the entropy method. The mission combat suitability index of the target aircraft can be recalculated based on the adjusted weight value to obtain the directional combat suitability index of the target aircraft for the specific mission.

[0197] S105: Determine the final combat capability of the target aircraft for the target mission based on the directional combat capability index and the platform combat capability index.

[0198] In one embodiment, when the directional combat capability index meets the expected requirements, that is, after the target aircraft's combat capability for the target mission is determined to be qualified through a logistic regression model, the target aircraft can be judged based on the evaluation data of the target mission and the platform combat capability index of the target aircraft. For example, based on the specific circumstances of the target mission, the failure rate requirement for the aircraft performing the mission can be determined. The failure rate can be determined by the weighted average of the availability and reliability of the target aircraft. When the platform combat capability index meets the requirements corresponding to the evaluation data of the target mission, the target aircraft's combat capability for the target mission is determined to be qualified. For example, after the failure rate of the target aircraft meets the failure rate requirement of the target mission for the aircraft performing the mission, the target aircraft's final combat capability for the target mission is determined to be qualified.

[0199] Furthermore, the final combat capability can be quantified to accurately evaluate the combat capability of the target aircraft. Specifically, the target aircraft with qualified combat capability can be prioritized according to the directional combat capability index and platform combat capability index of the target aircraft. For example, the directional combat capability index and the platform combat capability index can be weighted according to the actual situation and the product can be calculated to obtain the final combat capability index of the target aircraft. The final combat capability indexes of multiple qualified target aircraft can be sorted to select the best option. Then, the final combat capability index of the target aircraft with the best option can be deduced and evaluated to generate a target aircraft selection plan. Specifically, Figure 3 shown.

[0200] In another embodiment, based on the solution of the present invention, resources can be reasonably allocated according to the combat suitability of the target aircraft for the target mission, thereby improving resource utilization and mission target completion efficiency. Assume that the support task set containing N tasks is T = {T1, T2, L, T N}, there are sequential dependencies and execution constraints between the tasks in the set T. Its properties include: Task start time Task duration Task Priority Correspondingly, the timing constraints between tasks in the task set T can be guaranteed by the matrix C T-T =(c ij T-T ) N×N Indicates that when task T i It is task T j The predecessor task is c ij T-T =1, otherwise c ij T-T = 0. Assume that the guaranteed resource set containing M resources is R = {R1, R2, L, R M}, tasks occupy different resources, and their execution time is different. Let the corresponding execution time matrix of task and resource matching be RT = (rt mi ) M×N , where rtmi represents the execution time of resource Rm matching task Ti. When rtmi=0, it means that the corresponding resource and task are not compatible.

[0201] The task-resource allocation scheme can be obtained by using the matrix D R-T =(d mi R-T ) M×N Indicates that when resource R m Assigned to task T i When using mi R-T =1, otherwise d mi R-T = 0. When a resource of the same type is allocated to multiple tasks at the same time, the resource will be allocated to each task in turn according to the priority of the task and the logical order of task execution.

[0202] for The end time is recorded as The set of its predecessor tasks is recorded as The set of resources that process tasks is for The set of tasks that have resource occupation conflicts, i.e., the task that occupies resource R m The set of tasks is recorded as So when resources are allocated to tasks according to the task-resource allocation scheme, the final end time of all tasks is Furthermore, the optimization function with the shortest guaranteed time as the goal can be expressed as The objective function has the following three constraints:

[0203] ① Task-resource allocation constraint: By decomposing the task, it is ensured that the task can be completed independently by a certain resource, that is,

[0204]

[0205] ②Task execution timing logic constraint: When task T i and T j When resources are occupied at the same time, task T i and T j Execution timing is met

[0206]

[0207] In order to reduce the time that resources are idle, for the task T that has resource occupation conflicts, i and T j , assuming that task T i Priority Higher than task T j Priority Then it satisfies

[0208]

[0209] For tasks T with a sequential relationship i and T j , assuming that task T i T j The predecessor task of task T i Start time meets

[0210]

[0211] ③Task execution time constraint: Ensure that the task execution time TIT cannot be greater than the task completion time limit TCL, and the task T i The execution time cannot be greater than the task T i Completion time limit, i.e.

[0212]

[0213] In summary, the following mathematical model is established:

[0214]

[0215] Based on the characteristics of the optimization model, a solution framework based on the Multidimensional Dynamic List Programming (MDLS) algorithm is employed. A highly discrete chaotic bat algorithm (DCBA) with adaptive search and mutation operations is embedded as a task allocation strategy to allocate resources to selected tasks. The strategy achieves an optimal balance between exploration and exploitation capabilities by adaptively adjusting inertia weights and learning factors, and employs chaotic mutation operations to help the population escape local optima. Ultimately, the model is solved to obtain the optimal allocation of target aircraft, target tasks, and task resources.

[0216] Using the above method, the availability and reliability of the target aircraft are first determined based on historical working data and historical repair data, which respectively characterize the probability of the aircraft remaining in an operational state during operation in terms of time and number of times. The determination of these two indicators helps to understand the stability and reliability of the aircraft and provides key information for evaluating the combat suitability of the platform; secondly, based on historical working data and performance parameters, the six indicators are quantified, and the weight of each indicator is estimated by the entropy method, which can objectively reflect the importance of each indicator in the evaluation and avoid the deviation caused by subjective judgment, so as to more accurately determine the mission combat suitability index of the target aircraft; then, based on the evaluation data, the mission combat suitability index of the target aircraft is determined. A logistic regression model is established based on the directional combat suitability index and the mission combat suitability index. This logistic regression model comprehensively considers multiple factors to predict the target aircraft's directional combat suitability, providing a more comprehensive understanding of the aircraft's combat capability in a specific mission. Finally, the target aircraft's combat suitability for the target mission is determined based on the directional combat suitability index and the platform combat suitability index. This step integrates information on both platform combat suitability and mission combat suitability, and can comprehensively and objectively reflect the target aircraft's combat suitability for the target mission, thereby more accurately understanding the aircraft's combat potential in a specific mission and providing a basis for subsequent decision-making.

[0217] Secondly, the present invention also provides an evaluation device for aircraft combat capability, such as Figure 4 Shown, including:

[0218] The acquisition module 401 is used to acquire the historical working data, historical repair data and performance parameters of the target aircraft.

[0219] Evaluation module 402 is configured to determine the availability and credibility of the target aircraft based on the historical operating data and historical repair data, and determine the platform combat readiness index of the target aircraft based on the availability and credibility; the availability and credibility respectively represent the probability of the target aircraft remaining in an operational state during operation in terms of time and number of times.

[0220] The quantification module 403 is used to quantify six indicators of the target aircraft's survivability, detection capability, carrier performance, electronic warfare capability, weapon power, and avionics system performance based on the historical working data and performance parameters.

[0221] The evaluation module 402 is further configured to estimate the weight of each indicator by using an entropy method, and determine the mission combat capability index of the target aircraft based on the quantified results and the weights.

[0222] The acquisition module 401 is further configured to acquire a plurality of evaluation data of the target task.

[0223] The evaluation module 402 is further configured to construct a logistic regression model based on the evaluation data and the mission combat capability index; solve the logistic model to determine the directional combat capability index of the target aircraft for the target mission; and determine the target aircraft's combat capability for the target mission based on the directional combat capability index and the platform combat capability index.

[0224] Using the above device, the availability and reliability of the target aircraft are first determined based on historical working data and historical repair data, which respectively characterize the probability of the aircraft remaining in an operational state during operation in terms of time and number of times. The determination of these two indicators helps to understand the stability and reliability of the aircraft and provides key information for evaluating the combat suitability of the platform; secondly, based on historical working data and performance parameters, six indicators are quantified, and the weight of each indicator is estimated by the entropy method, which can objectively reflect the importance of each indicator in the evaluation and avoid the deviation caused by subjective judgment, thereby more accurately determining the mission combat suitability index of the target aircraft; then, based on the evaluation data, the target aircraft's mission combat suitability index is determined. A logistic regression model is established based on the directional combat suitability index and the mission combat suitability index. This logistic regression model comprehensively considers multiple factors to predict the target aircraft's directional combat suitability, providing a more comprehensive understanding of the aircraft's combat capability in a specific mission. Finally, the target aircraft's combat suitability for the target mission is determined based on the directional combat suitability index and the platform combat suitability index. This step integrates information on both platform combat suitability and mission combat suitability, and can comprehensively and objectively reflect the target aircraft's combat suitability for the target mission, thereby more accurately understanding the aircraft's combat potential in a specific mission and providing a basis for subsequent decision-making.

[0225] The present invention also provides a computer-readable storage medium, which stores a computer program, which can be used to execute the above Figure 1 Provides steps for the method of assessing aircraft combat readiness.

[0226] The present invention also provides a computer device. At the hardware level, the computer device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, it may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to achieve the above Figure 1 Provides steps for the method of assessing aircraft combat readiness.

[0227] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0228] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0229] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0230] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0231] It should be noted that the above specific embodiments can enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way. Therefore, although this specification has described the present invention in detail, those skilled in the art should understand that the present invention can still be modified or replaced with equivalents; and all technical solutions and improvements that do not depart from the spirit and scope of the present invention are included in the scope of protection of the patent for the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. A method for evaluating aircraft combat capability, characterized in that: The method comprises: Obtain the historical working data, historical repair data and performance parameters of the target aircraft; Determine the availability and credibility of the target aircraft based on the historical working data and the historical repair data, and determine the platform combat capability index of the target aircraft according to the availability and credibility; the availability and credibility respectively characterize the probability of the target aircraft remaining in an operational state during the working period in terms of time and number of times; quantifying multiple performance indicators of the target aircraft based on the historical operating data and performance parameters; The weight of each performance index is estimated by entropy method, and the mission combat capability index of the target aircraft is determined according to the quantified results and weights; Acquire multiple evaluation data of the target task, and construct a logistic regression model based on the evaluation data and the task combat capability index; Solve the logistic regression model to determine the target aircraft's directional combat suitability index for the target mission; The final combat capability of the target aircraft for the target mission is determined based on the directional combat capability index and the platform combat capability index.

2. The method for evaluating aircraft combat capability according to claim 1, characterized in that: Determining the availability and credibility of the target aircraft based on the historical working data and the historical repair data, and determining the platform combat capability index of the target aircraft based on the availability and credibility includes: The calculation formula of the availability A1 is: The calculation formula of the credibility A2 is: The platform combat capability index of the target aircraft is determined based on the product of availability and credibility.

3. The method for evaluating the combat capability of an aircraft according to claim 1, characterized in that: The multiple performance indicators include survivability, detection capability, aircraft performance, electronic warfare capability, weapon power and avionics system performance; Based on the historical operating data and performance parameters, multiple performance indicators of the target aircraft are quantified, including: Determining a penetration capability index, a navigation capability index, and a survivability index of the target aircraft based on the historical working data, and quantifying the survivability according to the penetration capability index, the navigation capability index, and the survivability index to obtain the survivability index of the target aircraft; Determine the maximum target detection distance, the maximum total search azimuth, the system measurement coefficient, the number of simultaneously tracked targets and the number of simultaneously allowed attack targets of the target aircraft based on the performance parameters, determine the radar detection probability of the target aircraft based on the historical working data, and then quantify the detection capability of the target aircraft to obtain the detection capability index of the target aircraft; Determining the maneuverability index, geometric performance index, endurance index, and structural performance index of the target aircraft based on the performance parameters, and then quantifying the carrier performance of the target aircraft to determine the carrier performance index of the target aircraft; Determining the electronic soft kill capability index, the electronic hard kill capability index and the electronic defense capability index of the target aircraft based on the performance parameters, and then quantifying the electronic warfare capability of the target aircraft to determine the electronic warfare capability index of the target aircraft; Determining the target aircraft's air-to-air missile firepower index, ground-to-cruise missile firepower index, and aircraft / machine gun firepower index based on the performance parameters, and then quantifying the target aircraft's weapon power to determine the target aircraft's weapon power index; The bus load and delay time percentage of the target aircraft are determined based on the performance parameters, and then the avionics system performance of the target aircraft is quantified to determine the avionics system performance index of the target aircraft.

4. The method for evaluating aircraft combat capability according to claim 1, characterized in that: The method of estimating the weight of each performance indicator by the entropy method includes: constructing a decision matrix based on multiple performance indicators according to the historical work data; Solving the decision matrix, respectively determining the entropy value of any performance indicator among the multiple performance indicators, and then determining the information utility value of the indicator according to the entropy value; The information utility value is normalized to obtain the weight of the indicator.

5. The method for evaluating aircraft combat capability according to claim 1, characterized in that: Determining the final combat capability of the target aircraft for the target mission based on the directional combat capability index and the platform combat capability index includes: When the directional combat capability index meets the expected requirements, the target aircraft is judged based on the evaluation data of the target mission and the platform combat capability index of the target aircraft; When the platform combat capability index reaches the corresponding requirement of the evaluation data of the target mission, the final combat capability of the target aircraft for the target mission is determined to be qualified.

6. An aircraft combat capability assessment device, characterized in that: The device comprises: An acquisition module, used to acquire historical working data, historical repair data and performance parameters of the target aircraft; An evaluation module is used to determine the availability and credibility of the target aircraft based on the historical working data and the historical repair data, and determine the platform combat capability index of the target aircraft according to the availability and credibility; the availability and credibility respectively characterize the probability of the target aircraft remaining in an operational state during operation in terms of time and number of times; A quantification module is used to quantify six indicators of the target aircraft's survivability, detection capability, carrier performance, electronic warfare capability, weapon power, and avionics system performance based on the historical working data and performance parameters; The evaluation module is also used to estimate the weight of each indicator by entropy method, and determine the mission combat capability index of the target aircraft according to the quantified results and weights; The acquisition module is also used to acquire multiple evaluation data of the target task; The evaluation module is also used to construct a logistic regression model based on the evaluation data and the mission combat capability index; solve the logistic model to determine the directional combat capability index of the target aircraft for the target mission; and determine the combat capability of the target aircraft for the target mission based on the directional combat capability index and the platform combat capability index.

7. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

8. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 5 when executing the program.

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