A fire force rapid planning method considering ammunition combination attack and terminal effect

Abstract

The application provides a fire force rapid planning method considering ammunition combination attack and terminal effect, and the method comprises the following steps: step one, constructing an attack strategy set and a cooperative damage model; the cooperative damage model is expressed as; step two, constructing a comprehensive evaluation index system of an attack unit scheme; for each attack unit scheme in each attack strategy set, the comprehensive evaluation value of the attack unit scheme is calculated; step three, iterative combination optimization and inventory dynamic programming; and step four, comprehensive optimal attack scheme circulation and generation. The method of the application quantifies target characteristics, force ammunition properties, operation cost, cooperative requirements and other factors into calculable and comparable indexes, rapidly generates and recommends a comprehensive optimal fire attack scheme through the construction of an evaluation model and an optimization algorithm, solves the problem of global rapid optimization of multi-target fire attack under the background of multi-ammunition joint attack, and provides technical support for battlefield rapid command decision.

Description

Technical Field

[0001] This invention belongs to the field of combat operations and control technology, and relates to fire planning, specifically a rapid fire planning method that considers combined munition strikes and terminal effects. Background Technology

[0002] In modern joint operations, the targets are diverse, the participating services are varied, and the available firepower platforms and ammunition types are numerous. The core challenge in firepower planning is how to generate a globally near-optimal strike plan from a large number of firepower unit and target pairings under limited time and complex constraints. To address this challenge, researchers both domestically and internationally have conducted related studies, primarily focusing on firepower damage effectiveness assessment and firepower allocation optimization. For example, Yin Jian and Du Yefeng proposed an assessment method suitable for artillery battalion firepower, estimating the expected damage percentage and ammunition consumption through a mathematical model; Long Yuan and Ji Chong, by introducing endpoint parameters, constructed the damage extent of target regions with different damage levels; Wang Yunming et al. established a mathematical model for the firepower allocation problem of typical target strikes and used an improved ant colony algorithm to solve the weapon-target allocation problem that satisfies a specific damage probability expectation, introducing time optimization and mitigating to some extent the challenge of exponential dimensional gain when solving large-scale combination problems.

[0003] However, the above methods still have many prominent problems. On the one hand, existing firepower planning often focuses on physical parameters such as range and power, and fails to systematically and comprehensively consider a variety of key factors such as the matching degree between ammunition and target, ammunition consumption cost, the complexity and timeliness of cross-service coordination, and the expected damage effect. On the other hand, firepower planning and endpoint assessment have not been effectively linked, and refined damage models have not been effectively embedded in the automatic generation and optimization cycle of global schemes under resource constraints. In addition, cross-service firepower coordination strategies mostly remain at the principle level, lacking quantitative and rapidly assessable coordination difficulty indicators, and there is a lack of unified and quantitative comprehensive evaluation standards among different planning schemes, making it difficult to achieve truly optimal joint firepower application.

[0004] Therefore, there is an urgent need to establish a method that can quickly, automatically, and scientifically generate and optimize strike fire plans, and can perform quantitative comparisons, to support combat commanders in rapidly formulating fire strike plans based on the actual types of targets on the battlefield and the current duty force, thus supporting battlefield command decisions. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a rapid fire planning method that takes into account the combined attack of munitions and the terminal effect, and to solve the technical problem that the planning speed of the existing fire planning methods needs to be further improved.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution.

[0007] A rapid fire planning method that considers combined munition strikes and terminal effects includes the following steps.

[0008] Step 1: Construct a set of attack strategies and a collaborative damage model.

[0009] For each target to be attacked Construct one or more attack strategy sets Construct a collaborative damage model to calculate each strike strategy set. Treating the target To achieve the mission requirement, the damage level must be met. Total probability .

[0010] The aforementioned collaborative damage model is expressed as follows:

[0011] ; In the formula: This indicates that single-shot munitions are treated as targets according to the strike unit plan. Under the conditions of attack The probability of damage is as follows; Indicates a single-shot ammunition; Indicates the conditions for attack; This indicates the presence of munitions used for attack; Indicates the type of munition used in the attack; Indicates the planned number of strike munitions to be fired; Indicates the range of landing points; Indicates the target to be attacked; Indicates the interval of the landing angle; This represents the cooperative gain coefficient.

[0012] Step two: Construct a comprehensive evaluation index system for the strike unit scheme.

[0013] For each set of attack strategies For each strike unit scheme in the dataset, calculate the comprehensive evaluation value of the strike unit scheme. ; ; ; ; In the formula: This represents the overall evaluation value of the strike unit plan; Indicates the applicability of the strike; Indicates the effectiveness of the strike; Indicates the cost of the crackdown; express Weighting coefficients; express Weighting coefficients; express The weighting coefficients.

[0014] Step 3: Iterative combination optimization and dynamic inventory planning.

[0015] Step 301: Under the constraints of ammunition inventory and platform availability, apply the comprehensive evaluation value of the strike unit scheme obtained in Step 3. The total ammunition consumption list corresponding to the strike unit plan is sorted in descending order.

[0016] Step 302: Select the attack strategy set in order. The strike unit scheme involves iterative allocation and conflict resolution, aiming to optimize the sum of the comprehensive evaluation values ​​of all targets for each target to be struck. Allocate the optimal set of attack strategies The strike unit scheme was ultimately developed into the optimal firepower strike scheme.

[0017] Step 303: Update the pool and remove assigned targets from the candidate pool. All attack strategies The strike unit plan updates ammunition inventory and platform status to prepare for the next round of strike decisions.

[0018] Step 4: Iterate and generate the optimal strike plan.

[0019] Repeat step three until all targets are engaged. All are assigned or there is no alternative strategy set, and the output is a globally approximate optimal attack plan.

[0020] Compared with the prior art, the present invention has the following technical effects.

[0021] (I) The method of this invention quantifies multiple factors such as target characteristics, troop and ammunition attributes, combat costs, and coordination requirements into calculable and comparable indicators. By constructing an evaluation model and optimization algorithm, it quickly generates and recommends the best comprehensive fire strike plan, which solves the problem of rapid global optimization of multi-target fire strike in the context of multi-ammunition joint strike, and provides technical support for rapid command and decision-making on the battlefield.

[0022] (II) This invention takes into account the multi-missile joint strike strategy, and can take into account the damage gain brought about by the cumulative or coordinated strike of multiple missiles, which significantly improves the flexibility and realism of the fire planning scheme.

[0023] (III) This invention introduces a damage probability model based on the strike location and endpoint attitude, which organically connects the refined assessment of endpoint damage with efficient firepower planning, thereby improving the credibility of the plan.

[0024] (IV) This invention takes ammunition inventory and platform constraints as the core driving factors of the optimization process, realizes the integrated closed loop of "planning-resources", and improves the feasibility of the solution.

[0025] (V) This invention establishes a comprehensive evaluation and optimization calculation method for joint munitions strike multi-target fire schemes based on engineering calculation formulas in stages, thereby improving calculation efficiency.

[0026] (VI) The calculation steps of this invention are clear, the form is simple, the solution is convenient, and the operation and calculation efficiency is high.

[0027] (VII) This invention can efficiently handle joint fire planning problems with multiple constraints and multiple objectives. The calculation method has clear steps, simple form, high efficiency and is more in line with the actual situation. It realizes the transformation from experience-based planning to scientific quantification of fire strike schemes, and significantly improves the planning speed and the scientific nature of the scheme. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating the rapid fire planning method of the present invention, which considers combined ammunition strikes and terminal effects.

[0029] Figure 2 This is a schematic diagram of the single-shot damage probability distribution obtained by sampling the frontal impact area and the 60-80° impact angle range of a certain munition against a stationary aircraft group in the embodiment.

[0030] Figure 3 This is an example of the ranking results of the target strike fire planning scheme of an air force base implemented by applying the method of the present invention in the embodiment.

[0031] The specific content of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Detailed Implementation

[0032] It should be noted that, unless otherwise specified, all parameters and methods in this invention are based on parameters and methods known in the prior art.

[0033] Following the above technical solutions, specific embodiments of the present invention are given below. It should be noted that the present invention is not limited to the following specific embodiments, and all equivalent modifications made based on the technical solutions of this application fall within the protection scope of the present invention.

[0034] Example: This embodiment presents a rapid firepower planning method that considers combined ammunition strikes and terminal effects, such as... Figure 1 As shown, the method includes the following steps.

[0035] Step 1: Construct a set of attack strategies and a collaborative damage model.

[0036] For each target to be attacked Construct one or more attack strategy sets Construct a collaborative damage model to calculate each strike strategy set. Treating the target To achieve the mission requirement, the damage level must be met. Total probability .

[0037] In step one, the aforementioned set of attack strategies Represented as: ; In the formula: Indicates the first One strike unit plan; Indicates the number of strike unit schemes; This indicates the presence of munitions used for attack; Indicates the type of munition used in the attack; Indicates the planned number of strike munitions to be fired; Indicates the range of landing points; This indicates the interval of the landing angle.

[0038] In this embodiment, the attack strategy set It can contain multiple types of ammunition from the same or different branches of the armed forces.

[0039] In this specific embodiment, we assume a joint strike mission targeting an air force base, whose main sub-targets are shown in Table 1 below.

[0040] Table 1. Target objects in this embodiment

[0041] In this specific embodiment, it is assumed that our available firepower resources and inventory are as shown in Table 2.

[0042] Table 2. Available Firepower Resources for Our Side in This Embodiment

[0043] Specifically, in this embodiment, assuming the maximum number of ammunition type combinations is 3, the example of the fire strike strategy set generated for target T1 is as follows: SS_T1={(U_R1,A1,1),(U_A1,A4,1),…,((U_R1,A1,1)&(U_A1,A4,1),…}.

[0044] An example of the fire strike strategy set generated for target T2 is as follows: SS_T2={(U_R1,A1,1),(U_A1,A5,1),…(U_R1,A2,1)&(U_A1,A5,1),…(U_R1,A1,1)&(U_R1,A2,1)&(U_R1,A3,1),...}.

[0045] The following is an example of the firepower strike strategy set generated for target T3: SS_T3={(U_R1,A3,1),(U_A1,A5,1),…(U_R1,A3,1)&(U_B1,A6,2),…}.

[0046] In step one, the cooperative damage model is represented as follows: ; In the formula: Represents a set of attack strategies Treating the target To achieve the mission requirement, the damage level must be met. The total probability; Indicates the required damage level for the mission; This represents a set of attack strategies; This indicates that single-shot munitions are treated as targets according to the strike unit plan. Under the conditions of attack The probability of damage is as follows; Indicates a single-shot ammunition; Indicates the target to be attacked; This indicates the conditions for attack, which include the direction of attack and the attack posture. This represents the cooperative gain coefficient.

[0047] In this embodiment, Based on the independent strike assumption, it is necessary to introduce a munition cooperative gain coefficient. Make corrections. The value can be preset using historical data. When the attack strategy set... The strike unit scheme in the middle has ( When the cumulative or synergistic benefit effect of the first ammunition hits, for the first... The probability of damage to each ammunition is positively corrected.

[0048] In step one, ; In the formula: This indicates the probability of a munition hitting the target based on weather conditions, target type, and actual interference factors. This represents the conditional probability of a munition damaging a target based on the conditions of impact. Indicates a hit; It indicates damage.

[0049] In this specific embodiment, it is assumed that the weather is clear and the enemy interference environment is moderate in the scenario, and the hit probability of each ammunition against different targets is defined. As shown in Table 3 below.

[0050] Table 3. Hit probability of different munitions against the target in this embodiment.

[0051] In this embodiment, Using the conditional damage probability matrix It is indicated that the division is centered on the objective. Hit area ( z i This characterizes the impact of different striking locations on the damage effect, while also dividing the angle of impact into... discrete intervals ( θ j To characterize the influence of different attitudes on the damage effect, the damage probability matrix of a munition to a target at different positions and attitudes can be expressed as: ; where matrix elements Indicates the area hit by the ammunition. z mAnd the landing angle is located in the interval θ n At that time, the probability of damage to the target caused by this round of ammunition. .

[0052] In this specific embodiment, the results of previous Monte Carlo calculations (causing severe damage to the target) are used to... Define the hit areas as follows: rows represent the hit areas of "above, front, back, left, right, left front, right front, left back, and right back", and columns represent the attitude angle ranges of "below 30°, 30-60°, 60-80°, and 80-90°".

[0053]

[0054]

[0055]

[0056]

[0057]

[0058]

[0059]

[0060] In this specific embodiment, such as... Figure 2 The diagram shown is a schematic representation of the single-shot damage probability distribution obtained by sampling the area in front of a stationary aircraft group and the 60-80° impact angle range of a certain munition in an embodiment of the present invention. DPM A5_T3 The method for obtaining this probability is as follows: At least 1000 Monte Carlo samplings are performed within the target's impact area and the ammunition's impact angle range. Based on the intersection calculation of the ammunition's explosive damage element force field and the target, and the target's physical-functional damage mapping relationship, the average damage probability of the 1000 samplings is obtained. This average probability is used as the conditional damage probability of the ammunition to the target within the corresponding area and impact angle range. .

[0061] Specifically, in this embodiment, it is assumed that there is no synergistic attack gain effect between two or more types of ammunition, and the ammunition synergistic gain coefficient is taken. β= 1, then each attack strategy set can be calculated. Treating the target To achieve the mission requirement, the damage level must be met. Total probability .

[0062] Step two: Construct a comprehensive evaluation index system for the strike unit scheme.

[0063] For each set of attack strategies For each strike unit scheme in the dataset, calculate the comprehensive evaluation value of the strike unit scheme. ; ; ; ; In the formula: This represents the overall evaluation value of the strike unit plan; Indicates the applicability of the strike; Indicates the effectiveness of the strike; Indicates the cost of the crackdown; express Weighting coefficients; express Weighting coefficients; express The weighting coefficients.

[0064] In this embodiment, The larger the value, the better the strike unit design. Used to measure the target of a strike unit plan. Matching properties; Used to measure the target of a strike unit plan. The destructive power; Used to measure the resources and costs consumed by a strike unit program. It can be dynamically adjusted according to operational plans and intentions.

[0065] Specifically, in this embodiment, , , .

[0066] In step two, the applicability indicators are targeted. Represented as: ; ; In the formula: Indicates the conditions for striking The following attack strategy set Types of munitions used in medium-range strikes and the targets to be struck Type matching degree; a preset discrete value between 0 and 1; Indicates the conditions for striking The following attack strategy set Medium-strike munition types for targeting The degree of range matching; Indicates the conditions for striking Below Sub-weights; Indicates the conditions for striking Below Sub-weights; Indicates the conditions for striking The planned number of strike munitions to be launched; Indicates the conditions for striking The actual distance between the incoming munitions and the target; Indicates the conditions for striking The optimal range for strike munitions; Strike conditions The maximum range of the strike munitions.

[0067] In this specific embodiment, the sub-weights of the strike applicability index are taken. and They are respectively: , Matching indexes of different types of munitions to different targets The values ​​of are shown in Table 4 below.

[0068] Table 4. Matching indexes of different types of ammunition to different targets in this embodiment.

[0069] In this embodiment, specifically, based on the maximum / optimal range data of each type of ammunition and the actual distance to each target (which can be calculated from the coordinates of the respective fire unit and the target), the range matching degree of each ammunition to the target is calculated. Then you can obtain the strike applicability index for each strategy set. .

[0070] In step two, the cost of combating [the problem] is [increased / decreased]. Represented as: ; ; In the formula: Indicates the conditions for striking The cost of the munitions used for strikes; Indicates the reference baseline cost of munitions used for strikes; Indicates the conditions for striking The cost of the strike munitions platform; This represents the reference baseline cost occupied by the strike munitions platform; Indicates the set of attack strategies Coordination complexity; A weighting coefficient representing the cost of munition strikes; The weighting coefficient representing the cost of munitions platform occupancy; This represents the weighting coefficient for the complexity of ammunition coordination; Indicates command relationship factor; Indicates the data link compatibility factor; Indicates the spatiotemporal coordination precision factor; This indicates the platform-specific differences.

[0071] In this embodiment, and It can be selected manually or calculated by averaging all strikeable munitions and platforms; , and It can be manually set according to the intent of the attack; , , as well as The information can be obtained by consulting the S-table based on the specific type of fire coordination scheme, or it can be preset manually.

[0072] Specifically, in this embodiment, it is assumed that in this embodiment... For 30 million yuan, It is 10 million yuan.

[0073] Specifically, in this embodiment, ， , 。

[0074] Specifically, in this embodiment, the attack strategy set Cooperative complexity The table can be automatically retrieved as shown in Table 5 below.

[0075] Table 5. Strike Strategy Set in this Embodiment Collaborative complexity influencing factor

[0076] In this specific embodiment, each strike strategy set can be obtained based on the preset strike quantity of different munitions in the strategy set, the cost of different munitions, the platform occupancy cost of different munitions, and the collaborative complexity influencing factor shown in the table above. Cost of attack indicators .

[0077] Step 3: Iterative combination optimization and dynamic inventory planning.

[0078] Step 301: Under the constraints of ammunition inventory and platform availability, apply the comprehensive evaluation value of the strike unit scheme obtained in Step 3. The total ammunition consumption list corresponding to the strike unit plan is sorted in descending order.

[0079] Step 302: Select the attack strategy set in order. The strike unit scheme involves iterative allocation and conflict resolution, aiming to optimize the sum of the comprehensive evaluation values ​​of all targets for each target to be struck. Allocate the optimal set of attack strategies The strike unit scheme was ultimately developed into the optimal firepower strike scheme.

[0080] Step 303: Update the pool and remove assigned targets from the candidate pool. All attack strategies The strike unit plan updates ammunition inventory and platform status to prepare for the next round of strike decisions.

[0081] In step 302, the iterative allocation and conflict resolution method is as follows: check the attack strategy set. Check whether the required ammunition inventory for the strike unit scheme is sufficient, and check whether the included strike ammunition has been included in a higher-ranked strike strategy set. The strike unit scheme in the set is occupied. If there is no conflict, the strike strategy set is adopted. The strike unit scheme in the middle assigns corresponding targets to be struck. If inventory is insufficient, remove the attack strategy set. The strike unit scheme in the middle.

[0082] Step 4: Iterate and generate the optimal strike plan.

[0083] Repeat step three until all targets are engaged. All are assigned or there is no alternative strategy set, and the output is a globally approximate optimal attack plan.

[0084] In step four, the global near-optimal strike plan includes each target to be struck. The corresponding final strike strategy set, detailed damage level assessment, and resource consumption list.

[0085] Figure 3 The image shows an example of the ranking results of the target strike fire planning scheme of an air force base implemented using the present invention, which verifies the rationality of the method of the present invention.

Claims

1. A rapid firepower planning method considering combined ammunition strikes and terminal effects, characterized in that, The method includes the following steps: Step 1: Construct a set of attack strategies and a cooperative damage model: For each target to be attacked Construct one or more attack strategy sets Construct a collaborative damage model to calculate each strike strategy set. Treating the target To achieve the mission requirement, the damage level must be met. Total probability ; The aforementioned collaborative damage model is expressed as follows: ； In the formula: This indicates that single-shot munitions are treated as targets according to the strike unit plan. Under the conditions of attack The probability of damage is as follows; Indicates a single-shot ammunition; Indicates the conditions for attack; This indicates the presence of munitions used for attack; Indicates the type of munition used in the attack; Indicates the planned number of strike munitions to be fired; Indicates the range of landing points; Indicates the target to be attacked; Indicates the interval of the landing angle; Indicates the cooperative gain coefficient; Step two: Construct a comprehensive evaluation index system for the strike unit scheme: For each set of attack strategies For each strike unit scheme in the dataset, calculate the comprehensive evaluation value of the strike unit scheme. ; ； ； ； In the formula: This represents the overall evaluation value of the strike unit plan; Indicates the applicability of the strike; Indicates the effectiveness of the strike; Indicates the cost of the crackdown; express Weighting coefficients; express Weighting coefficients; express Weighting coefficients; Step 3: Iterative combination optimization and dynamic inventory planning; Step 4: Iterate and generate the optimal attack plan: Repeat step three until all targets are engaged. All are assigned or there is no alternative strategy set, and the output is a globally approximate optimal attack plan.

2. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, In step one, the aforementioned set of attack strategies Represented as: ； In the formula: Indicates the first One strike unit plan; This indicates the number of strike unit options.

3. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, In step one, the attack conditions include the attack direction and the attack posture.

4. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, In step one, ; In the formula: This indicates the probability of a munition hitting the target based on weather conditions, target type, and actual interference factors. This represents the conditional probability of a munition damaging a target based on the conditions of impact. Indicates a hit; It indicates damage.

5. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, In step two, the applicability indicators are targeted. Represented as: ； ； In the formula: Indicates the conditions for striking The following attack strategy set Types of munitions used in medium-range strikes and the targets to be struck Degree of type matching; Indicates the conditions for striking The following attack strategy set Medium-strike munition types for targeting The degree of range matching; Indicates the conditions for striking Below Sub-weights; Indicates the conditions for striking Below Sub-weights; Indicates the conditions for striking The planned number of strike munitions to be launched; Indicates the conditions for striking The actual distance between the incoming munitions and the target; Indicates the conditions for striking The optimal range for strike munitions; Strike conditions The maximum range of the strike munitions.

6. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, In step two, the cost of combating [the problem] is [increased / decreased]. Represented as: ； ； In the formula: Indicates the conditions for striking The cost of the munitions used for strikes; Indicates the reference baseline cost of munitions used for strikes; Indicates the conditions for striking The cost of the strike munitions platform; This represents the reference baseline cost occupied by the strike munitions platform; Indicates the set of attack strategies Coordination complexity; A weighting coefficient representing the cost of munition strikes; The weighting coefficient representing the cost of munitions platform occupancy; This represents the weighting coefficient for the complexity of ammunition coordination; Indicates command relationship factor; Indicates the data link compatibility factor; Indicates the spatiotemporal coordination precision factor; This indicates the platform-specific differences.

7. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, Step three includes the following steps: Step 301: Under the constraints of ammunition inventory and platform availability, apply the comprehensive evaluation value of the strike unit scheme obtained in Step 3. Arrange the total ammunition consumption list corresponding to the strike unit plan in descending order; Step 302: Select the attack strategy set in order. The strike unit scheme involves iterative allocation and conflict resolution, aiming to optimize the sum of the comprehensive evaluation values ​​of all targets for each target to be struck. Allocate the optimal set of attack strategies The strike unit scheme in the middle is ultimately formed into the optimal fire strike scheme; Step 303: Update the pool and remove assigned targets from the candidate pool. All attack strategies The strike unit plan updates ammunition inventory and platform status to prepare for the next round of strike decisions.

8. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 7, characterized in that, In step 302, the iterative allocation and conflict resolution method is as follows: check the attack strategy set. Check whether the required ammunition inventory for the strike unit scheme is sufficient, and check whether the included strike ammunition has been included in a higher-ranked strike strategy set. The strike unit scheme in the set is occupied; if there is no conflict, the strike strategy set is adopted. The strike unit scheme in the middle assigns corresponding targets to be struck. ; If inventory is insufficient, remove the attack strategy set. The strike unit scheme in the middle.

9. The rapid fire planning method considering combined ammunition strikes and terminal effects as described in claim 1, characterized in that, In step four, the global near-optimal strike plan includes each target to be struck. The corresponding final strike strategy set, detailed damage level assessment, and resource consumption list.

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