Tank unit weapon target distribution method

Abstract

The invention relates to a tank unit weapon target allocation method, which comprises the following steps that S1, a tank unit enters a combat state and starts to search for enemy targets; s2, detecting an enemy target state in real time, and obtaining an enemy target state value wsj; s3, judging whether a target with wsj = 1 exists or not; if the target with wsj = 1 exists, recording the time t; if not, executing S2; s4, the state of the our weapon is detected, and the state value fsi of the our weapon is obtained; s5, whether a weapon with fsi = 1 exists or not is judged; if yes, executing S6; if not, executing S4; s6, judging whether t '-t is greater than or equal to t; if yes, executing S7; if not, repeating the step S6; s7, solving the WTA model, and carrying out weapon target distribution; setting the state value wsj of the enemy target participating in distribution to be 0, and setting the state value fsi of the our weapon to be 0; and S8, the weapon receiving the attack task executes attack. The method solves the problem that the weapon target distribution opportunity is difficult to determine, and has the beneficial effect of better distribution effect.

Description

Technical Field

[0001] The present invention relates to the technical field of command control auxiliary decision-making, and in particular to a method for allocating weapons targets of a tank squad. Background Art

[0002] Weapon Target Assignment (WTA) is one of the basic problems in the field of military operations research. It is about how to allocate multiple combat weapons to multiple strike targets to achieve the optimal commander's combat intent. It is also a key problem that needs to be solved for command and control automation and intelligence. The WTA problem was first proposed by Manne when studying ballistic missile defense operations optimization. It was initially called the missile allocation problem (MAP). It solves how to allocate one's own interceptor missiles to the interception operation of incoming ballistic missiles to achieve the purpose of optimal protection of one's own facilities. After the problem was proposed, it attracted widespread attention from researchers in the fields of combat operations, command and control, and automation in the academic community. The basic model of MAP began to be gradually extended to different combat fields, becoming the currently well-known WTA problem. The WTA problem is a typical combinatorial optimization problem. With the increase in the types and number of weapons and targets, the number of solutions will increase exponentially.

[0003] The combat process of a tank squad is generally divided into four stages: target search, tracking and aiming, firepower strike, and strike effect evaluation. During the entire combat process, various equipment is not only a collector of target information, but also a decision maker for combat strikes, and an executor of specific strikes. Previous research on firepower optimization configuration has mainly focused on the modeling and solution of static problems, and research in this area has been relatively in-depth. As for the problem of dynamic firepower optimization configuration, there is still no very effective solution at present because time factors need to be considered. At present, some dynamic firepower optimization configuration models adopt the method of shooting time window, considering the deadline of each target, and for tank squad operations, the timing of weapon allocation is difficult to determine. If the allocation is performed immediately, it will cause each WTA process of the combat squad to be a multiple-to-one model. This method reduces the role of the WTA model in optimizing firepower and loses the significance of WTA; if more targets are waited for to appear before striking, although a theoretically better allocation effect can be obtained, there may also be a risk of too long shooting reaction time and missed opportunities. To this end, the present invention provides a tank squad weapon target allocation method, which solves the problem that the timing of weapon target allocation is difficult to determine, and has the beneficial effect of better allocation effect. Summary of the invention

[0004] The present invention is intended to provide a tank squad weapon target allocation method to solve the deficiencies in the prior art. The technical problem to be solved by the present invention is achieved through the following technical solutions.

[0005] A tank unit weapon target allocation method comprises the following steps:

[0006] S1, the tank unit enters combat status and begins searching for enemy targets;

[0007] S2, detect the enemy target status in real time and obtain the enemy target status value ws j ;

[0008] S3, determine whether ws exists j =1 target; if there is ws j =1, then record the time t; if not, execute S2;

[0009] S4, detect the status of our weapon and obtain the status value of our weapon fs i ;

[0010] S5, determine whether fs exists i =1; if so, execute S6; if not, execute S4;

[0011] S6, determining whether t'-t≥△t is satisfied to determine whether to perform weapon target allocation, where t' is the current time and △t is the weapon target allocation time interval; if yes, executing S7; if no, repeating S6;

[0012] S7, solve the WTA model and perform weapon target allocation; the enemy target state value ws j Set to 0, the status value of our weapon fs i Set to 0;

[0013] S8, the weapon that receives the strike mission carries out the strike.

[0014] Preferably, in S6, determining whether to perform weapon target allocation specifically includes the following steps:

[0015] S61, calculate ws respectively j = 1, the battlefield value of the target ν1, ν2, ..., ν m ; m is the number of enemy targets;

[0016] S62, determine the calculation formula of △t as follows: Where △t≤t limit , t limit The maximum value of the time interval assigned to the weapon target, ρ is the adjustment coefficient, λ is the number of targets that may be discovered per unit time, and the probability of k targets being discovered at time t of the operation follows a Poisson distribution with parameter λ;

[0017] S63, determine whether t'-t≥△t is satisfied; if so, execute S7; if not, repeat S6.

[0018] Preferably, in S62, t limit The value of is determined by expert experience based on the battle stage and combat situation factors.

[0019] Preferably, in S62, ρ is determined by expert experience based on the calculation method of the target battlefield value ν.

[0020] Preferably, in S6, before executing S63, first determine ws j =1, whether the battlefield value of the target satisfies ν>ν limit , where ν limit is the threshold of the target battlefield value; if so, directly execute S7, if not, execute S63.

[0021] Preferably, in S6, ν limit The value of is determined by expert experience based on the target battlefield value assessment method and the specific combat situation.

[0022] In the present invention, when weapon target allocation is performed according to battlefield conditions, if weapon allocation is performed immediately after a target is discovered at a certain moment, the effect of the WTA model in optimizing firepower may be reduced. If weapons allocation is performed after waiting for multiple targets to appear, it may also lead to the risk of too long shooting reaction time and missed opportunities. In view of this, the present invention proposes a weapon allocation time interval △t. When the target enters the killing range and is not allocated or the target is not destroyed after being hit, the weapon target allocation is performed by solving the WTA model after the waiting time exceeds the weapon allocation time interval △t; when the battlefield value of the target is higher than the set value, the weapon target allocation can be performed directly by solving the WTA model; in this way, when the probability of discovering the target is expected to be high or the battlefield value of the discovered target is high, the use interval of the WTA model can be shortened, the reaction speed can be improved, and missed opportunities can be avoided; when the probability of discovering the target is expected to be low or the battlefield value of the discovered target is low, the use interval of the WTA model will be increased to improve the firepower optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0024] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0025] Reference Figure 1 As shown, a tank squad weapon target allocation method, the improvement of which is that it includes the following steps:

[0026] S1, the tank unit enters combat status and begins searching for enemy targets;

[0027] S2, detect the enemy target status in real time and obtain the enemy target status value ws j ;

[0028] S3, determine whether ws exists j =1 target; if there is ws j =1, then record the time t; if not, execute S2;

[0029] S4, detect the status of our weapon and obtain the status value of our weapon fs i ;

[0030] S5, determine whether fs exists i =1; if so, execute S6; if not, execute S4;

[0031] S6, determining whether t'-t≥△t is satisfied to determine whether to perform weapon target allocation, where t' is the current time and △t is the weapon target allocation time interval; if yes, executing S7; if no, repeating S6;

[0032] S7, solve the WTA model and perform weapon target allocation; the enemy target state value ws j Set to 0, the status value of our weapon fs i Set to 0;

[0033] S8, the weapon that receives the strike mission carries out the strike.

[0034] In this embodiment, the weapon W is given i A shooting state variable fs i , when weapon W i When performing a maneuvering task or tracking, aiming, or shooting at a target, command fs i =0, then weapon W i is busy and cannot participate in the next weapon-target assignment; when the weapon W i When the machine is stationary or moving at a low speed and has not received a shooting mission, fs i =1, then weapon W i In the ready state, you can participate in the next weapon-target allocation; weapons that have completed tasks such as shooting and rapid maneuvering, if the superior has not assigned other tasks, immediately enter the ready state, and order fs i =1.

[0035] Assign a ready-to-shoot state variable ws to each target Tj that has been discovered but not yet destroyed jThe reconnaissance range of a general tank is larger than the effective damage range. Therefore, when the target has been discovered but has not yet entered the effective killing range or the target has been assigned but has not yet been hit, let ws j =0, the target will not participate in the next weapon-target allocation; when the target has entered the killing range and has not been allocated or the target is not destroyed after being hit, set wsj=1, the target will participate in the next weapon-target allocation.

[0036] When using the WTA model in squad combat simulation, it is found that it is rare to find multiple targets at the same time. Because the time distribution of target discovery is random, when a squad finds a target at a certain moment, it is difficult to decide whether to immediately allocate weapons or wait for more targets to appear before allocating them. If the allocation is made immediately, each WTA process of the combat squad will be a multiple-on-one model. This method reduces the role of the WTA model in optimizing firepower and loses the significance of using WTA. If the attack is carried out after waiting for more targets to appear, although a better allocation effect can be obtained in theory, there may also be a risk of too long shooting reaction time and missed opportunities. In view of this, the present invention proposes a weapon allocation time interval △t. When a target enters the killing range and is not allocated or the target is not destroyed after being hit, the weapon target allocation is performed by solving the WTA model after waiting for the opportunity to exceed the weapon allocation time interval △t. In this way, when the probability of finding the target is expected to be high or the battlefield value of the target that has been found is high, the use interval of the WTA model can be shortened, the reaction speed can be improved, and the opportunity can be avoided. When the probability of finding the target is expected to be low or the battlefield value of the target that has been found is low, the use interval of the WTA model will be increased to improve the firepower optimization effect.

[0037] Further, in S6, determining whether to perform weapon target allocation specifically includes the following steps:

[0038] S61, calculate ws respectively j = 1, the battlefield value of the target ν1, ν2, ..., ν m ; m is the number of enemy targets;

[0039] S62, determine the calculation formula of △t as follows: Where △t≤t limit , t limit The maximum value of the time interval assigned to the weapon target, ρ is the adjustment coefficient, λ is the number of targets that may be discovered per unit time, and the probability of k targets being discovered at time t of the operation follows a Poisson distribution with parameter λ;

[0040] S63, determine whether t'-t≥△t is satisfied; if so, execute S7; if not, repeat S6.

[0041] Furthermore, in S62, t limit The value of is determined by expert experience based on the battle stage and combat situation factors.

[0042] Furthermore, in S62, ρ is determined by using an expert experience method according to a calculation method of the target battlefield value ν.

[0043] Furthermore, in S6, before executing S63, first determine ws j =1, whether the battlefield value of the target satisfies ν>ν limit , where ν limit is the threshold of the target battlefield value; if so, directly execute S7, if not, execute S63.

[0044] Furthermore, in S6, ν limit The value of is determined by expert experience based on the target battlefield value assessment method and the specific combat situation.

[0045] In this embodiment, the main combat factors used are abstracted as the number and distribution of enemies that the team has reconnaissanced, through which the battlefield value of the enemy target and the probability of being discovered can be inferred, that is, the probability of k targets being discovered at time t in the battle follows a Poisson distribution with parameter λ. At a certain moment in the battle, the number of enemy targets that have been discovered is m, and the battlefield values ​​of the enemy targets are ν1, ν2, ..., ν m The calculation method of the battlefield value ν of the enemy target can refer to the Digital Ground Assault Team Firepower Optimization Control published by Xu Kehu et al., National Defense Industry Press, Beijing, October 2016.

[0046] Assume that starting from the first target that can be hit, the weapon target is assigned once every △t. The determination of △t needs to take into account two points. On the one hand, △t should not be too long, which will cause missed opportunities, too long shooting reaction time, and even lead to the disadvantageous situation that the enemy opens fire before us; on the other hand, △t should not be too short, which will result in too few targets to hit, reducing the firepower optimization effect of WTA.

[0047] The final calculation formula for △t is: Among them, △t is less than or equal to t limit , t limit The maximum value of the time interval assigned to the weapon target, ρ is the adjustment coefficient.

[0048] From the calculation formula of △t, we can see that the number of targets that can be found in the same unit time of time interval △t and the average battlefield value of the discovered targets are Inversely proportional. ρ is the adjustment coefficient, which can be determined by expert experience according to different calculation methods of the target battlefield value ν, and can adjust the differences caused by different calculation methods of the target battlefield value. It can be seen from the formula that when the probability of finding the target is high or the battlefield value of the target has been found to be large, the value of △t is small, that is, the use interval of the WTA model can be shortened and the reaction speed can be improved. On the contrary, when the probability of finding the target is low or the battlefield value of the target has been found to be small, the use interval of WTA will be increased to improve the firepower optimization effect.

[0049] To avoid the interval being too long, set the constraint △t≤t limit , t limit It can be determined by expert experience based on factors such as the battle stage and combat situation. In addition, when a target T j Battlefield value ν>ν limit When a target with a large enough value suddenly appears, the WTA model should respond in time to avoid missing the opportunity and causing serious consequences. limit As the threshold of the target battlefield value, it can be determined by expert experience according to the target battlefield value assessment method and the specific combat situation.

[0050] Reference Figure 1 As shown in the figure, when the combat unit enters the combat state, the weapon platform searches for enemy targets in real time and obtains the state variable ws of the discovered target. j And the state variables fs of each weapon i Once the adjustment is satisfied, the firepower strike tactics are determined and it is checked whether ν>ν limit If the target exists, the weapon target allocation is executed immediately. Otherwise, it is necessary to determine whether the interval time condition is met. If it is met, the allocation result is output, and the weapon that receives the task performs the strike mission. At the same time, the weapon platform continues to perform the enemy target detection task.

[0051] It should be noted that the above detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present application belongs.

[0052] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments described in the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0053] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0054] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or inherent to these processes, methods, products, or apparatuses.

[0055] For ease of description, spatially relative terms, such as "above", "above", "on the upper surface of", "above", etc., may be used herein to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" may include both "above" and "below". The device may also be positioned in other different ways, such as rotated 90 degrees or in other orientations, and the spatially relative descriptions used herein are interpreted accordingly.

[0056] In the above detailed description, reference is made to the accompanying drawings, which form a part of this document. In the accompanying drawings, similar symbols typically identify similar components unless the context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be used, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A tank unit weapon target allocation method, characterized in that: The steps include: S1, the tank unit enters combat status and begins searching for enemy targets; S2, detect the enemy target status in real time and obtain the enemy target status value ws j ; S3, determine whether ws exists j =1 target; if there is ws j =1, then record the time t; if not, execute S2; S4, detect the status of our weapon and obtain the status value of our weapon fs i ; S5, determine whether fs exists i =1; if so, execute S6; if not, execute S4; S6, judging whether t'-t≥△t is satisfied to determine whether to perform weapon target allocation, where t' is the current time and △t is the weapon target allocation time interval; If yes, execute S7; if no, repeat S6; S7, solve the WTA model and perform weapon target allocation; the enemy target state value ws j Set to 0, the status value of our weapon fs i Set to 0; S8, the weapon that receives the strike mission carries out the strike.

2. A tank unit weapon target allocation method according to claim 1, characterized in that: In S6, determining whether to perform weapon target allocation specifically includes the following steps: S61, calculate ws respectively j = 1, the battlefield value of the target ν1, ν2, ..., ν m ; m is the number of enemy targets; S62, determine the calculation formula of △t as follows: Where △t≤t limit , t limit The maximum value of the time interval assigned to the weapon target, ρ is the adjustment coefficient, λ is the number of targets that may be discovered per unit time, and the probability of k targets being discovered at time t of the operation follows a Poisson distribution with parameter λ; S63, determine whether t'-t≥△t is satisfied; if so, execute S7; if not, repeat S6.

3. A tank unit weapon target allocation method according to claim 2, characterized in that: In S62, t limit The value of is determined by expert experience based on the battle stage and combat situation factors.

4. A tank unit weapon target allocation method according to claim 2, characterized in that: In S62, ρ is determined by expert experience based on the calculation method of the target battlefield value ν.

5. A tank unit weapon target allocation method according to claim 2, characterized in that: In S6, before executing S63, first determine ws j =1, whether the battlefield value of the target satisfies ν>ν limit , where ν limit is the threshold of the target battlefield value; if so, directly execute S7, if not, execute S63.

6. A tank unit weapon target allocation method according to claim 5, characterized in that: In S6, ν limit The value of is determined by expert experience based on the target battlefield value assessment method and the specific combat situation.

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