JP6037928B2 - Resource arrangement calculation device and firearm arrangement calculation device - Google Patents

Description

  The present invention relates to a resource arrangement calculating apparatus that calculates an arrangement that maximizes the resource coping capability with respect to a target when arranging resources.

As a resource whose ability varies depending on the arrangement, for example, the arrangement of the firearms of a unit is determined by the unit commander based on experience and know-how, and the workload is large.
Therefore, a method for calculating a firearm arrangement that maximizes the combat capability of the unit using an optimization technique has been proposed. For example, Non-Patent Document 1 proposes a method for calculating a firearm arrangement that maximizes the combat capability of a unit using a genetic algorithm (GA) which is one of optimization methods. However, Non-Patent Document 1 does not disclose a detailed method for calculating an evaluation value of battle ability in each firearm arrangement.

By the way, Patent Document 1 proposes a method for evaluating the combat ability of a firearm based on the cumulative kill probability (CKP: Cumulative Kill Probability) of the firearm with respect to the traveling direction (travel path) of the target (threat approaching the unit). ing. The fired gun's cumulative shooting down probability with respect to the target traveling direction is a value obtained by accumulating the shooting down probability of each battle opportunity within the time in which the target can be dealt with, and is calculated by Expression (1).

Here, the time in which the target can be dealt with is, for example, the time in which the goal can be dealt with within the range. In addition, as shown in FIG. 1, each engagement opportunity within the time when the target can be dealt with is the predicted meeting time (the time from when the firepower is fired to the target until the target and the thermal power meet) and the predicted meeting position. It is calculated by repeating the calculation of (position where the firepower fired by the firearm and the target meet). FIG. 1 shows an example in which there are three engagement opportunities (hereinafter simply referred to as engagement opportunities) within the time that can deal with the target, and point a is the first engagement opportunity (at the time of the first attack) The predicted meeting position, point b is the predicted meeting position at the second engagement opportunity (at the time of re-attack), and point c is the predicted meeting position at the third engagement opportunity (at the time of re-attack), and the third engagement opportunity is It will be the last opportunity for engagement.
In Patent Document 1, thermal power distribution (to which firearm is assigned a target) is determined based on an evaluation value based on the cumulative shooting down probability of the firearm with respect to the target traveling direction.
This evaluation value can also be used as an evaluation value for the firearm placement of the unit, calculate the evaluation value for each possible firearm placement, and determine that the highest-rated firearm placement is the optimal firearm placement It is conceivable to optimize the arrangement of firearms.

JP 2012-92990 A

Enomoto, Takeda, “Study on proper placement of interceptor systems for ballistic missile defense”, Defense Symposium 2009

However, in the firearm placement optimization process using the evaluation value based on the fired gun's cumulative shooting probability with respect to the target traveling direction as described above, in order to obtain a satisfactory solution, in the space that is a candidate for firearm placement, Many firearm arrangements need to be evaluated individually. Therefore, it may take a long time to calculate a satisfactory solution.
The present invention has been made to solve the above-described problems. For example, an optimal arrangement of resources whose ability varies depending on the arrangement, such as a firearm arrangement that maximizes the combat ability of a unit, is efficiently calculated. The object is to obtain a device to do.

  A resource allocation calculation apparatus according to the present invention refers to a target information database that stores specifications of a target, a resource information database that stores specifications of coping means possessed by a resource, a target information database, and a resource information database. , A coping ability increase / decrease boundary calculation unit that calculates a boundary where the coping ability with respect to an arbitrary target progress route increases or decreases around the resource, and a coping with an arbitrary target progress route around the resource calculated by the coping ability increase / decrease boundary calculation unit In the surroundings of resources stored in the increase / decrease boundary database of coping capacity, the scenario acquisition unit that acquires scenario of target and resource for which resource allocation is calculated, and the boundary database that stores the boundary where the capacity increases / decreases Refer to the boundary where the ability to cope with any target path increases or decreases. In the scenario where the scenario acquiring unit has acquired, in which the evaluation value of the coping capacity of resource allocation is characterized by comprising a resource location calculation part for calculating a resource allocation that maximizes.

  According to the present invention, it is possible to obtain an apparatus that efficiently calculates an optimal arrangement of resources whose capabilities vary depending on the arrangement.

It is a figure which shows calculation of each battle opportunity of the firearm with respect to a target advancing direction. It is a block diagram of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows the operation | movement by the increase / decrease boundary calculation part of the battle ability of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows the operation | movement by the increase / decrease boundary calculation part of the battle ability of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows the example of the scenario which the firearm arrangement | positioning calculation part of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 1 of this invention evaluates, and the scenario which the scenario acquisition part acquired. It is a figure which shows the operation | movement by the firearm arrangement | positioning calculation part of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows the operation | movement by the increase / decrease boundary calculation part of the battle ability of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 2 of this invention. It is a figure which shows the operation | movement by the increase / decrease boundary calculation part of the battle ability of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 2 of this invention. It is a figure which shows the operation | movement by the increase / decrease boundary calculation part of the battle ability of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 3 of this invention. It is a figure which shows the operation | movement by the increase / decrease boundary calculation part of the battle ability of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 4 of this invention. It is a block diagram of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 6 of this invention. It is a figure which shows the example of a display by the firearm arrangement | positioning calculation result display part of the resource arrangement | positioning calculation apparatus which concerns on Embodiment 6 of this invention.

Embodiment 1 FIG.
FIG. 2 is a block diagram showing the resource allocation calculating apparatus according to Embodiment 1 of the present invention. The resource arrangement calculation apparatus includes a target information database 1, a firearm information database 2, a battle capability increase / decrease boundary calculation unit 3, a battle capability increase / decrease boundary database 4, a scenario acquisition unit 5, and a firearm arrangement calculation unit 6.
The target information database 1 stores specifications of a target (speed, altitude, etc.) that are expected to appear in a scenario that is a target of firearm arrangement calculation.
The firearm information database 2 stores the specifications (speed, range, etc.) of bullet types possessed by a firearm that is expected to appear in a scenario for which the firearm arrangement is to be calculated.

The battle ability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2, and the boundary (battle ability) where the battle ability increases / decreases with respect to an arbitrary target travel direction (target travel path, the same applies hereinafter) around the firearm. Is calculated). The calculation result is stored in the battle ability increase / decrease boundary database 4.
Hereinafter, the operation of the increase / decrease boundary calculation unit 3 of the battle ability will be described by taking as an example the case where the increase / decrease boundary circle of the number of engagement opportunities is calculated as the increase / decrease boundary of the battle ability.

When the increase / decrease boundary calculation unit 3 of the battle ability refers to the target information database 1 and the firearm information database 2 and acquires the target specifications and the types of ammunition possessed by the firearms, first, as shown in FIG. For the firearm, an arbitrary target traveling direction is set as the initial position. The initial position of the target traveling direction is a position where the intersection of the perpendicular line from the firearm to the target traveling direction and the target traveling direction is outside the range of the firearm, or the intersection is on the range of the firearm. If so, it will be good everywhere.
Next, the target traveling direction set as the initial position is moved in parallel to the firearm side. At this time, the number of engagement opportunities (the number of times the firepower fired from the firearm toward the target and the target meet) at each position in the target traveling direction is calculated at regular intervals. In the example of FIG. 3, the target travel direction in which the intersections of the perpendicular line from the firearm to the target travel direction and the target travel direction are N ₁ , N ₂ , N ₃ , N ₄ , N ₅ , N ₆ , N _7. For each, the number of engagement opportunities is calculated. N ₁ is the intersection of the target travel direction set as the initial position and a perpendicular line dropped from the firearm with respect to the target travel direction, N ₂ is the perpendicular line dropped from the firearm, and when N ₁ is brought closer to the firearm side at regular intervals Point N ₃ is a point when N ₂ is moved closer to the fixed interval firearm on a vertical line dropped from the firearm, and thereafter, similarly, N ₄ , N ₅ , N ₆ , N ₇ in order of the fixed interval Get closer to.

In the following, the specifications of the bullet type possessed by the firearm are the speed V _F1 , the range L ₁ , the target specifications are the speed V _T1 , and the altitude A _1, and the number of engagement opportunities includes the target including N ₁ 0 times in the traveling direction, 1 time in the target traveling direction including N ₂ , 1 time in the target traveling direction including N ₃ , 2 times in the target traveling direction including N ₄ , 2 times in the target traveling direction including N ₅ , In the following description, it is assumed that there are three times in the target traveling direction including N ₆ and three times in the target traveling direction including N ₇ . Here, the number of battle opportunities is calculated using the specifications of the target and the types of ammunition held by the firearm, which are obtained by referring to the target information database 1 and the firearm information database 2.

Finally, as shown in FIG. 4, the target progression direction when the number of engagement opportunities increases or decreases before and after the target progression direction is translated to the firearm side by a fixed interval, that is, the target progression direction that becomes the increase / decrease boundary of the number of engagement opportunities N _i (i is a natural number) and the distance R _i between firearms are stored in the increase / decrease boundary database 4 of the battle ability as the radius of the increase / decrease boundary circle of the number of engagement opportunities.
In the above example N ₁ to N _7, N _i in the target traveling direction of the position when the engagement opportunities speed is increased once from zero is N _2, the distance R ₂ between the N ₂ and firearms, warring It is stored in the battle ability increase / decrease boundary database 4 as the radius of the increase / decrease boundary circle of the number of opportunities.
Similarly, N _{i at} the position in the target traveling direction when the number of engagement opportunities increases from 1 to 2 is N ₄ , and the distance R ₄ between N ₄ and the firearm is the boundary circle of the increase / decrease in the number of engagement opportunities The radius is stored in the battle ability increase / decrease boundary database 4.
Similarly, N _{i at} the position in the target traveling direction when the number of engagement opportunities is increased from 2 to 3 is N ₆ , and the distance R ₆ between N ₆ and the firearm is an increase / decrease boundary circle of the number of engagement opportunities The radius is stored in the battle ability increase / decrease boundary database 4.

At this time, it is assumed that the specifications of the target used for calculating the number of engagement opportunities and the specifications of the bullet type possessed by the firearm are stored. Therefore, in the above example, when the specifications of the bullet type possessed by the firearm are the speed V _F1 , the range L ₁ , the target specifications are the speed V _T1 , and the altitude A ₁ , Stored as being.
The processing until the above-described increase / decrease boundary circle of the number of engagement opportunities is calculated and stored in the increase / decrease boundary database 4 of the battle ability is considered when considering the combination of the target specifications and the types of ammunition held by the firearms. All combinations that can be obtained by matching each type of bullet possessed by all firearms to the amount of combinations to be obtained, that is, each target specification (target specification and bullet type possessed by the firearm) Brute force). For example, if you can acquire 20 target specifications and 10 bullet types, you can get 20x10 combinations in all, and for all 200 combinations, the above Perform the process.

  The scenario acquisition part 5 acquires the scenario used as the calculation object of firearm arrangement. The contents of the scenario include, for example, the number of targets, the direction of travel of each target, and the specifications of each target (speed, altitude, etc.), and the number of firearms and the specifications of each bullet (Speed, range, etc.).

The firearm placement calculation unit 6 determines a firearm placement that maximizes the combat capability of the unit using an optimization method (for example, the above-described GA or the like). In this firearm placement optimization process, the evaluation value of the battle ability of each firearm placement is the scenario acquired by the scenario acquisition unit 5 and the battle capability increase / decrease boundary stored in the battle capability increase / decrease boundary database 4. Calculated by reference.
Hereinafter, when the increase / decrease boundary circle of the number of battle opportunities is stored as the increase / decrease boundary of the battle ability in the increase / decrease boundary database 4 of the battle ability, the firearm when the firearm arrangement calculation unit 6 performs the firearm arrangement optimization process A method for calculating the evaluation value of the arranged battle ability will be described. In the following description, it is assumed that the firearm arrangement that is the evaluation value calculation target and the scenario acquired by the scenario acquisition unit 5 are those shown in FIG. In FIG. 5, a firearm A having the specifications of the possessed bullet type is a velocity V _F1 and a range L ₁ , a specification of the possessed bullet type is a speed V _F2 , and a firearm B having a range L ₁ is arranged. _T1, altitude _{a 1} a is target a in the direction of the target traveling direction 1, target B specifications is speed _{V T1,} is highly _{a 1} in the direction of the target traveling direction 2, specifications are speed _{V T2,} the altitude a A target C that is ₂ is traveling in the direction of the target traveling direction 3, and a target D whose specifications are the speed V _T2 and an altitude A ₂ is traveling in the direction of the target traveling direction 4.

First, for each combination of the targets A to D and the firearms A and B, the number of battle opportunities in the target progress direction of each target is calculated. The number of engagement opportunities is calculated by referring to the increase / decrease boundary circle of the number of engagement opportunities stored in advance in the battle ability increase / decrease boundary database 4.
For example, as shown in FIG. 6, a case will be described in which the number of engagement opportunities in the target travel direction 2 is calculated in the combination of the target B and the firearm A whose target travel direction is the target travel direction 2. First, referring to the battle ability increase / decrease boundary database 4, the combination of the specifications of the bullet type possessed by firearm A (speed V _F1 , range L ₁ ) and the specifications of target B (speed V _T1 , altitude A ₁ ) increase or decrease in the calculated stored engagement opportunities increase or decrease in the number of boundary circle at boundary calculation unit 3 information ability to extract (the radius R _i of the engagement opportunities increase or decrease in the number of boundary circle, engagement opportunities such as the number corresponding to R _i). Then, the intersection point N between the perpendicular line from the firearm A in the target travel direction 2 and the target travel direction 2 is calculated, the distance R from the firearm A to the intersection point N, and the radius R _{i of the} extracted increase / decrease boundary circle comparing the door to determine the minimum R _i to be R _i ≧ R. Number engagement opportunity corresponding to the obtained R _i becomes the engagement opportunities number of firearms A in the target traveling direction 2. In Figure 6, the minimum R _i to be R _i ≧ R is R _4, engagement opportunity number corresponding to R ₄ is found to be two. The number of engagement opportunities calculated in this way can be used as an evaluation value of the fighting ability of the firearm A with respect to the target traveling direction 2 of the target B.

Further, visually, it can be said that it is a process of determining where the intersection N is present in the area delimited by the increase / decrease boundary circle of the number of engagement opportunities. In FIG. 6, the intersection N exists in the area between the boundary circle with two engagement opportunities and the boundary circle with three engagement opportunities, so the number of engagement opportunities in the target traveling direction 2 is two. I understand.
The process of calculating the number of engagement opportunities, that is, the evaluation value of the combat ability of the firearm with respect to the target traveling direction, with reference to the above-mentioned battle ability increase / decrease boundary database 4 is a combination of possible combinations when considering the combination of the target and the firearm. In other words, it is done by brute force between the target and firearms.

Next, the evaluation value of the fighting ability of the firearm calculated for each combination of the firearm and the target is comprehensively evaluated, and the evaluation value of the fighting ability of the firearm arrangement is calculated. For example, the evaluation value of the fighting ability of the firearm arrangement can be calculated as the sum of the evaluation values of the fighting ability of each firearm with respect to each target traveling direction. And, when the evaluation value of the combat ability of the firearm with respect to the target traveling direction is the number of engagement opportunities, the evaluation value of the combat ability of the firearm arrangement is the opportunity of engagement of each firearm with respect to each target traveling direction, as shown in Equation (2). The total number _{S_engage_num} can be used.

  Note that in the optimization method, the firearm placement that can be the target for obtaining the evaluation value of the combat ability of the firearm placement is set in advance, for example, at a plurality of points where it may be possible to install firearms in consideration of the topography and the like. The firearms input as a scenario can be arranged in all patterns that can be considered when the firearms are applied to the set points. In other words, taking into account the topography and the like, first, for example, 10 places where it is considered possible to install firearms are set, and then when the number of firearms is entered as 7 scenarios, each of the 7 firearms It is the firearm arrangement of all patterns (10 ^ 7 ways) that can be considered when any one of the 10 points is assigned to the above.

  As described above, in the first embodiment, the battle capability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2 and increases or decreases the battle capability with respect to an arbitrary target traveling direction around the firearm. The boundary is calculated in advance and registered in the battle capability increase / decrease boundary database 4, and the firearm placement calculation unit 6 refers to the database in the battle capability increase / decrease boundary database 4 in the firearm placement optimization process. The evaluation value of the combat ability of the firearm arrangement was calculated. Accordingly, the calculation amount required for calculating the evaluation value of the combat ability of the firearm arrangement is reduced, and there is an effect that the optimum firearm arrangement can be calculated efficiently in a shorter time.

Embodiment 2. FIG.
The resource allocation calculation apparatus according to Embodiment 2 of the present invention is the same as that of Embodiment 1 except that the operation of the battle capability increase / decrease boundary calculation unit 3 is different. Therefore, the operation of the battle ability increase / decrease boundary calculation unit 3 will be mainly described below.
The battle capability increase / decrease boundary calculation unit 3 according to the second embodiment refers to the target information database 1 and the firearm information database 2, and calculates a boundary where the cumulative shooting probability for an arbitrary target traveling direction increases or decreases more than a threshold around the firearm. Then, the calculation result is stored in the battle ability increase / decrease boundary database 4. The calculation of the boundary where the cumulative shooting probability increases or decreases above the threshold is performed according to the following procedure.

When the increase / decrease boundary calculation unit 3 of the battle ability refers to the target information database 1 and the firearm information database 2 and acquires the specifications of the target and the types of bullets held by the firearm, first, as shown in FIG. As in the first embodiment, an arbitrary target traveling direction is set as an initial position for the firearm, and the target traveling direction is moved in parallel toward the firearm at regular intervals. At this time, the cumulative shooting down probability at the position in each target traveling direction is calculated at regular intervals. In the example of FIG. 7, the target traveling direction in which the intersections of the perpendicular line from the firearm to the target traveling direction and the target traveling direction are N ₁ , N ₂ , N ₃ , N ₄ , N ₅ , N ₆ , N _7. The cumulative shooting down probability is calculated respectively. The cumulative shooting down probability at each target traveling direction is calculated by the following procedure. First, using the specifications of the target acquired with reference to the target information database 1 and the firearm information database 2 and the specifications of the bullet type possessed by the firearm, the battle opportunity and the shooting probability at the battle opportunity are calculated. Subsequently, based on the calculated shooting down probability at each battle opportunity, the cumulative shooting down probability is calculated using the above equation (1).

In the following, the specifications of the firearm's possession type are the speed V _F1 , the range L ₁ , the target specifications are the speed V _T1 , and the altitude A _1, and the cumulative shooting probability calculated in the above procedure is 0.5 in the target traveling direction containing 0, _{N 2} in the target traveling direction containing N _1, 0.55 in the target traveling direction including _{N 3,} 0.7 in the target traveling direction including the _{N 4,} including _{N 5} In the description, it is assumed that the target travel direction is 0.8, the target travel direction including N ₆ is 0.9, and the target travel direction including N ₇ is 0.95.

Decrease boundary calculation section 3 combat capabilities, finally, as shown in FIG. 8, the cumulative shoot probability threshold Pth (e.g., 0.1) N _i and firearms in the target traveling direction of the position where a boundary to increase or decrease more than The distance R _i between them is stored in the battle ability increase / decrease boundary database 4 as the radius of the circle that becomes the boundary where the cumulative shooting probability increases or decreases by the threshold Pth or more.
In the example of N _{1 to} N ₇ , N _{i at} the position in the target travel direction where the increase / decrease from the cumulative shooting probability at the initial position in the target travel direction (target travel direction including N ₁ ) is equal to or greater than the threshold (0.1). Is N ₂ , and the distance R ₂ between N ₂ and the firearm is stored in the battle capability increase / decrease boundary database 4 as the radius of the increase / decrease boundary circle of the cumulative shooting probability.
Similarly, Ni at the position in the target traveling direction where the increase / decrease from the cumulative shooting probability in the target traveling direction including N ₂ is equal to or greater than the threshold (0.1) is N ₄ , and the distance R ₄ between N ₄ and the firearm is These are stored in the increase / decrease boundary database 4 of the battle ability as the radius of the increase / decrease boundary circle of the cumulative shooting probability.
Similarly, Ni at the position in the target traveling direction where the increase / decrease from the cumulative shooting probability in the target traveling direction including N ₄ is equal to or greater than the threshold (0.1) is N ₅ , and the distance R ₅ between N ₅ and the firearm is These are stored in the increase / decrease boundary database 4 of the battle ability as the radius of the increase / decrease boundary circle of the cumulative shooting probability.
Similarly, Ni at the position in the target traveling direction in which the increase / decrease from the cumulative shooting probability in the target traveling direction including N ₅ is equal to or greater than the threshold (0.1) is N ₆ , and the distance R ₆ between N ₆ and the firearm is These are stored in the increase / decrease boundary database 4 of the battle ability as the radius of the increase / decrease boundary circle of the cumulative shooting probability.

At this time, it is assumed that the target specifications used for calculating the cumulative shooting probability and the specifications of the bullet type held by the firearm are stored. Therefore, in the above example, when the specifications of the ammunition possessed by the firearm are the speed V _F1 , the range L ₁ , the target specifications are the speed V _T1 , and the altitude A ₁ , the cumulative shooting probability is the radius of the boundary circle. Stored as being.
The process from calculating the increase / decrease boundary circle of the cumulative shooting probability and storing it in the battle ability increase / decrease boundary database 4 is considered when considering the combination of the target specifications and the types of ammunition possessed by the firearm. The total number of combinations that can be obtained, that is, the brute force of the target specifications and the types of ammunition held by the firearm.

  In Embodiment 2, since the increase / decrease boundary circle of the cumulative shooting probability is stored as the increase / decrease boundary of the battle ability in the increase / decrease boundary database 4 of the battle ability, the firearm placement calculation unit 6 evaluates the battle ability of the firearm placement. Although the difference between the first embodiment and the first embodiment is that the cumulative shooting probability is used when performing the operation, the operation of the firearm arrangement calculation unit 6 is the same as the operation in the first embodiment. Therefore, below, operation | movement of the firearm arrangement | positioning calculation part 6 of Embodiment 2 is demonstrated easily.

For each combination of each target and each firearm obtained from the scenario, the firearm arrangement calculation unit 6 calculates the cumulative shooting probability in the target traveling direction of each target, and the cumulative shooting probability stored in the battle ability increase / decrease boundary database 4 in advance. Calculate with reference to the increase / decrease boundary circle. That is, first, referring to the battle ability increase / decrease boundary database 4 for a certain target / firearm combination, the battle capability increase / decrease boundary is determined by combining the target specifications and the types of bullets possessed by the firearms. The information on the boundary circle of increase / decrease in the cumulative shooting probability calculated and stored by the calculation unit 3 (the cumulative shooting probability corresponding to the radius R _i , R _i of the increase / decrease boundary circle of the cumulative shooting probability) is extracted. Then, the intersection point N between the vertical line drawn from the firearm in the target travel direction of the target and the target travel direction of the target is calculated, the distance R from the firearm to the intersection point N, and the increase / decrease boundary circle of the accumulated cumulative shooting probability of comparing the radius R _i, determining the minimum R _i to be R _i ≧ R. Cumulative shoot down probability corresponding to the obtained R _i is the cumulative shoot probability of該火unit in the target traveling direction of the target. The cumulative shooting probability calculated in this way can be used as an evaluation value of the combat ability of the firearm with respect to the target moving direction of the target.

  The process of calculating the cumulative shooting probability, that is, the evaluation value of the combat ability of the firearm with respect to the target traveling direction, with reference to the above-described battle ability increase / decrease boundary database 4 is a combination of possible combinations when considering the combination of the target and the firearm. In other words, it is done by brute force between the target and firearms.

以上のように各目標進行方向に対する各火器の累積撃墜確率の合計値が最大となる火器配置が、最適な火器配置であるとして、火器配置算出部６は最適化手法（例えば、上記のＧＡ等）を用いて決定する。 Next, as the evaluation value of the combat ability of the firearm arrangement, the total value of the cumulative shooting probability of each firearm in each target traveling direction is calculated by the same equation (3) as the equation (1).

As described above, the firearm placement calculation unit 6 assumes that the firearm placement that maximizes the total sum of the cumulative shooting probability of each firearm for each target traveling direction is the optimal firearm placement. ) To determine.

  As described above, in the second embodiment, the battle capability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2, and the cumulative shooting probability with respect to an arbitrary target traveling direction around the firearm is a threshold value. The boundaries to be increased or decreased are calculated in advance and registered in the battle capability increase / decrease boundary database 4, and the firearm placement calculation unit 6 refers to the database in the battle capability increase / decrease boundary database 4 in the firearm placement optimization process. Thus, the evaluation value of the combat ability of each firearm arrangement was calculated. Therefore, in addition to the effect of the first embodiment, there is an effect that the combat ability of the firearm arrangement is more appropriately evaluated.

Embodiment 3 FIG.
The resource allocation calculation apparatus according to Embodiment 3 of the present invention is the same as Embodiments 1 and 2 except that the operation of the battle capability increase / decrease boundary calculation unit 3 is different. Therefore, only the operation of the battle ability increase / decrease boundary calculation unit 3 will be described below.
The battle ability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2, and calculates a boundary where the battle ability increases / decreases with respect to an arbitrary target traveling direction around the firearm. The number of engagement opportunities or the cumulative shooting down probability is calculated by excluding the engagement opportunities to be dealt with. Here, the battle opportunity that corresponds to the target in the follow-up refers to a battle opportunity in which the predicted meeting position is ahead of the target travel direction with respect to the intersection of the perpendicular line from the firearm to the target travel direction and the target travel direction. . FIG. 9A shows a case in which an engagement opportunity that becomes a target response in the follow-up is not excluded, and FIG. 9B shows a case in which an engagement opportunity that becomes a target response in the follow-up is excluded. When excluding an opportunity to become a follow-up target, the calculated opportunity may be reduced.

  As described above, in the third embodiment, the battle capability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2 and increases or decreases the battle capability with respect to an arbitrary target traveling direction around the firearm. When calculating the boundary, it was calculated by excluding the opportunity to engage in the goal of following the target. Therefore, in addition to the effects of the first and second embodiments, there is an effect that the combat ability of the firearm arrangement is more appropriately evaluated.

Embodiment 4 FIG.
The resource allocation calculation apparatus according to Embodiment 4 of the present invention is the same as Embodiments 1 to 3 except that the operation of the battle capability increase / decrease boundary calculation unit 3 is different. Therefore, only the operation of the battle ability increase / decrease boundary calculation unit 3 will be described below.
The battle capability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2 and obtains target information when calculating a boundary where the battle capability increases or decreases with respect to an arbitrary target traveling direction around the firearm. Using the engagement opportunity calculated in consideration of the start timing, the number of engagement opportunities or the cumulative shooting probability is calculated. Here, the acquisition start timing of the target information includes, for example, a time when the target is first detected by the sensor, a time when the target information is acquired for the first time by communication, and the like. As shown in FIG. 10A, if the target information acquisition start timing is sufficiently early, the predicted meeting position at the timing of the first battle opportunity is on the maximum range circle. On the other hand, as shown in FIG. 10 (b), when the acquisition start timing of the target information is not sufficiently early, the predicted meeting position at the timing of the first battle opportunity is the position inside the maximum range circle, Since the coping time is shortened (that is, the timing of the first battle opportunity is delayed or there is no battle opportunity), the calculated battle opportunity may decrease.

  As described above, in the fourth embodiment, the battle ability increase / decrease boundary calculation unit 3 refers to the target information database 1 and the firearm information database 2, and the battle ability with respect to an arbitrary target traveling direction increases or decreases around the firearm. When calculating the boundary, the battle opportunity calculated in consideration of the acquisition start timing of the target information is used. Therefore, in addition to the effects of the first to third embodiments, there is an effect that the combat ability of the firearm arrangement is more appropriately evaluated.

Embodiment 5. FIG.
The resource arrangement calculation device according to the fifth embodiment of the present invention is the same as those in the first to fourth embodiments except that the operations of the scenario acquisition unit 5 and the firearm arrangement calculation unit 6 are different. Therefore, only the operations of the scenario acquisition unit 5 and the firearm arrangement calculation unit 6 will be described below.
The scenario acquisition unit 5 can also acquire a scenario in which one firearm has a plurality of bullet types. When the firearm placement calculation unit 6 calculates the evaluation value of the combat ability of the firearm with respect to the target traveling direction, if the firearm has a plurality of bullet types, the evaluation value of the battle ability when each bullet type is used is calculated. Each is calculated, and the maximum value among them is used as the evaluation value of the combat ability of the firearm with respect to the target traveling direction. The rest is the same as in the first to fourth embodiments. For example, when the scenario acquisition unit 5 acquires a scenario in which the firearm A possesses three bullet types M1, M2, and M3, the battle ability when the firearm A uses the bullet type M1 with respect to the target traveling direction X Evaluation value (represented by the number of engagement opportunities or cumulative shooting probability), evaluation value of combat ability when firearm A uses bullet type M2 for target progress direction X, firearm A for target progress direction X The evaluation value of the battle ability when the bullet type M3 is used is calculated, and the maximum value among them is selected as the evaluation value of the fighting ability of the firearm with respect to the target traveling direction X.

As described above, in the fifth embodiment, the scenario acquisition unit 5 can acquire a scenario in which a single firearm has a plurality of bullet types, and the firearm arrangement calculation unit 6 can determine the fire fighting ability of the firearm in the target traveling direction. When calculating the evaluation value of the firearm, if the firearm possesses multiple bullet types, the evaluation value that maximizes the combat ability among those bullet types shall be the evaluation value of the combat ability of the firearm. did. Therefore, in addition to the effects of the first to fourth embodiments, there is an effect that the combat ability of the firearm arrangement is more appropriately evaluated.

Embodiment 6 FIG.
FIG. 11 is a block diagram showing a resource allocation calculating apparatus according to Embodiment 6 of the present invention. The sixth embodiment is the same as the first to fifth embodiments except that a firearm arrangement calculation result display unit 7 is newly provided. Therefore, only the operation of the firearm arrangement calculation result display unit 7 will be described below.

The firearm placement calculation result display unit 7 refers to the firearm placement calculated by the firearm placement calculation unit 6, the target traveling direction included in the scenario acquired by the scenario acquisition unit 5, and the battle ability increase / decrease boundary database 4. The obtained boundary that increases or decreases the fighting ability with respect to an arbitrary target traveling direction around each arranged firearm is displayed.
For example, when the increase / decrease boundary circle of the number of battle opportunities with respect to an arbitrary target traveling direction around the firearm is registered in the battle ability increase / decrease boundary database 4 as shown in the first embodiment, the firearm arrangement calculation result display The unit 7 performs display as shown in FIG.

  In FIG. 12, firearm A and firearm B are arranged and displayed as the firearm arrangement calculated by the firearm arrangement calculator 6. Further, based on the scenario acquired by the scenario acquisition unit 5, the target travel direction 1 of the target A and the target travel direction 2 of the target B having the same specifications as the target A are displayed. In addition, an increase / decrease boundary circle of the number of battle opportunities obtained by referring to the battle ability increase / decrease boundary database 4 based on the combination of the specifications of firearm A and the specifications of target A (same as target B) is displayed centering on firearm A. Has been. Also, an increase / decrease boundary circle of the number of battle opportunities obtained by referring to the battle ability increase / decrease boundary database 4 based on the combination of the specifications of firearm B and the specifications of target A (same as target B) is displayed centering on firearm B. Has been. And if the firearm A is moved to the right and rearranged so that the target progress direction 1 is located inside the increase / decrease boundary circle of the number of engagement opportunities, the number of engagement opportunities in the target advance direction 1 of the target A will increase. In addition, if the firearm B is moved to the left side and rearranged so that the target travel direction 2 is located inside the increase / decrease boundary circle of the number of engagement opportunities on the firearm B side, the number of engagement opportunities for the target B in the target travel direction 2 Can be seen at a glance.

  As described above, in the sixth embodiment, the firearm placement calculated by the firearm placement calculation unit 6, the target traveling direction included in the scenario, and the battle ability increase / decrease boundary database 4 are obtained. Further, the firearm arrangement calculation result display unit 7 displays the boundary where the fighting ability in any desired traveling direction increases or decreases around each firearm. Therefore, in addition to the effects of the first to fifth embodiments, when the unit leader manually corrects the firearm arrangement, there is an effect that it becomes easy to understand which direction and how much to move.

In the above description, a firearm of a unit has been described as an example of a resource whose ability varies depending on the arrangement. However, the resource arrangement calculating apparatus of the present invention can be applied to resources other than the firearm.
For example, it can be applied to calculate the optimal arrangement of the radar apparatus using the resource as a radar apparatus. In this case, it is possible to calculate the optimal arrangement of the radar apparatus in the same manner as in the case of the firearm described above by calculating the boundary of the bullet type as the radar performance of the radar apparatus and calculating the increase / decrease boundary of the target detection probability. .
Alternatively, it can be applied to calculate an optimal arrangement of wind power generators using the resources as wind power generators. In this case, the target is wind, the type of ammunition is the generator performance, the target traveling direction is the wind direction, the increase / decrease boundary of the power generation amount of the wind power generator is calculated, The optimal arrangement of generators can be calculated.
Alternatively, the present invention can be applied to calculate the optimal arrangement of solar power generators using the solar power generator as a resource. In this case, the target is solar radiation, the type of ammunition is the generator performance, the target traveling direction is the solar radiation direction, the increase / decrease boundary of the power generation amount of the solar power generator is calculated, and the same as in the case of the firearm described above The optimal arrangement of solar generators can be calculated.
In these cases where the resource is other than a firearm, the firearm information database is the resource information database, the battle capability increase / decrease boundary calculation unit is the response capability increase / decrease boundary calculation unit, and the combat capability increase / decrease boundary database is the response capability increase / decrease boundary. In the database, the firearm arrangement calculation unit corresponds to the resource arrangement calculation unit, and the firearm arrangement calculation result display unit corresponds to the resource arrangement calculation result display unit.

  In the present invention, within the scope of the invention, any combination of the embodiments, or any modification of any component in each embodiment, or omission of any component in each embodiment is possible. .

  DESCRIPTION OF SYMBOLS 1 Target information database, 2 Firearm information database, 3 Combat ability increase / decrease boundary calculation part, 4 Combat ability increase / decrease boundary database, 5 Scenario acquisition part, 6 Firearm arrangement calculation part, 7 Firearm arrangement calculation result display part.

Claims (8)

A target information database for storing target specifications;
A resource information database for storing specifications of coping means possessed by the resource;
With reference to the target information database and the resource information database, an increase / decrease boundary calculation unit of coping ability to calculate a boundary where the coping ability with respect to an arbitrary target travel route increases or decreases around the resource,
An increase / decrease boundary database of coping ability for storing boundaries where the coping ability with respect to an arbitrary target travel path increases / decreases around the resource calculated by the coping capacity increase / decrease boundary calculation unit;
A scenario acquisition unit that acquires a scenario of a target and a resource to be calculated for resource allocation;
Evaluation value of coping ability of resource placement in the scenario acquired by the scenario acquisition unit with reference to a boundary where coping ability with respect to an arbitrary target travel path increases or decreases around the resource stored in the coping capacity increase / decrease boundary database A resource allocation calculation apparatus comprising: a resource allocation calculation unit that calculates a resource allocation that maximizes.   The coping capacity increase / decrease boundary calculation unit refers to the target information database and the resource information database, and calculates a boundary where the number of meeting opportunities with respect to an arbitrary target travel route increases or decreases around the resource. Item 4. The resource allocation calculation device according to Item 1.   The coping capacity increase / decrease boundary calculation unit refers to the target information database and the resource information database, and calculates a boundary where the cumulative coping success probability with respect to an arbitrary target travel route increases or decreases by a threshold or more around the resource. The resource allocation calculation apparatus according to claim 1.   The coping ability increase / decrease boundary calculation unit calculates a boundary where the coping ability with respect to an arbitrary target travel route increases or decreases around a resource, excluding a meeting opportunity that becomes a target coping with follow-up. The resource arrangement calculation device according to any one of claims 1 to 3.   The coping capacity increase / decrease boundary calculation unit calculates a boundary where the coping ability with respect to an arbitrary target progress route increases or decreases around the resource using a meeting opportunity calculated in consideration of the acquisition start timing of the target information. The resource arrangement calculation device according to claim 1, wherein:   In the scenario acquired by the scenario acquisition unit, when there is a resource having a plurality of coping means, the resource arrangement calculating unit sets the coping means that maximizes the coping capacity of the resource among the plurality of coping means. The resource allocation calculation according to any one of claims 1 to 5, wherein a resource allocation that maximizes an evaluation value of the resource allocation response capability is calculated as a coping means possessed by the resource. apparatus. The scenario acquired by the scenario acquisition unit includes information on the target travel route,
The coping ability with respect to an arbitrary target progress route increases or decreases around the resource arrangement calculated by the resource arrangement calculation unit, the target progress route acquired by the scenario acquisition unit, and the resource stored in the coping capacity increase / decrease boundary database. The resource arrangement calculation apparatus according to claim 1, further comprising a resource arrangement calculation result display unit that displays a boundary. A target information database for storing target specifications;
A firearm information database that stores the specifications of the bullets held by a firearm,
With reference to the target information database and the firearm information database, a battle ability increase / decrease boundary calculation unit that calculates a boundary where the battle ability with respect to an arbitrary target travel path increases or decreases around the firearm,
An increase / decrease boundary database of battle capabilities for storing boundaries where the battle capability for an arbitrary target travel path increases or decreases around the firearm calculated by the increase / decrease boundary calculation unit of the battle capability;
A scenario acquisition unit for acquiring a target and a firearm scenario for which the firearm arrangement is calculated,
With reference to the boundary where the fighting ability with respect to an arbitrary target travel path increases or decreases around the firearm stored in the increase / decrease boundary database of the fighting ability, the evaluation value of the fighting ability of the firearm arrangement in the scenario acquired by the scenario acquisition unit A firearm arrangement calculation device comprising: a firearm arrangement calculation unit that calculates a firearm arrangement that has a maximum value.

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