CN115310257A

CN115310257A - Situation estimation method and device based on artificial potential field

Info

Publication number: CN115310257A
Application number: CN202210726837.9A
Authority: CN
Inventors: 徐新海; 章杰元; 李晟泽; 张峰; 李渊; 白敬培
Original assignee: National Defense Technology Innovation Institute PLA Academy of Military Science
Current assignee: National Defense Technology Innovation Institute PLA Academy of Military Science
Priority date: 2022-06-23
Filing date: 2022-06-23
Publication date: 2022-11-08
Anticipated expiration: 2042-06-23
Also published as: CN115310257B

Abstract

The application provides a situation estimation method and a device based on an artificial potential field, wherein the method comprises the following steps: acquiring real-time countermeasure data in a game countermeasure scene; generating a first capability potential field value corresponding to a first target capability of the entity of one party in a target area in the confrontation area and a second capability potential field value corresponding to a second target capability of the entity of the enemy in the target area according to the real-time confrontation data and the artificial potential field model; and evaluating the confrontation situations of the enemy and my parties in the target area according to the first and second capability potential field values. The situation estimation method and device based on the artificial potential field are used for carrying out real-time situation estimation on the confrontation situation in a game confrontation scene so as to help a decision maker to make a corresponding confrontation strategy.

Description

Situation estimation method and device based on artificial potential field

Technical Field

The application relates to the field of computer combat simulation, in particular to a situation estimation method and device based on an artificial potential field.

Background

In the field of computer combat simulation, situation estimation is an important research content. The situation estimation comprehensively reflects the battlefield situation by combining situation elements such as time, place, events and the like into an organic whole.

Situation estimation is the basis for a decision maker to complete command and decision, and how to quickly and accurately understand the situation and make a decision accordingly is a key problem troubling the decision maker. However, the battlefield environment is complex, the entities are many, the change is fast, and the situation estimation is provided with a serious challenge.

Disclosure of Invention

The application aims to provide a situation estimation method and device based on an artificial potential field, which are used for carrying out real-time situation estimation on a confrontation situation in a game confrontation scene so as to help a decision maker to make a corresponding confrontation strategy.

The application provides a situation estimation method based on an artificial potential field, which comprises the following steps:

acquiring real-time countermeasure data in a game countermeasure scene; generating a first capacity potential field value corresponding to the first target capacity of the entity of one party in a target area in the confrontation area and a second capacity potential field value corresponding to the second target capacity of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model; according to the first and second potential field values, evaluating the adversarial situations of the enemy and the my in the target area; the artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the antagonistic capacity possessed by the entity includes: hitting ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the antagonistic capacities.

Optionally, the modeling function of the artificial potential field model comprises: an electric field function; the generating a first ability potential field value corresponding to a first target ability of the entity of my party in a target area in the confrontation area and a second ability potential field value corresponding to a second target ability of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model comprises: determining a target expression corresponding to each item of the countermeasure capacity based on the electric field function; determining the capability coverage range of each item of capability according to the target expression corresponding to each item of capability; wherein the electric field function comprises: a first parameter and a second parameter; the first parameter is used for indicating the charge quantity of the charge carried by the entity; the amount of charge of each entity is positively correlated with the ability of the entity; the types of charges carried by entities corresponding to the two resisting parties are different, the entity of the party carries positive charges, and the entity of the enemy carries negative charges; the second parameter is used for indicating a truncation distance of an entity, and the truncation distance is used for indicating the capability coverage of the entity; under the condition that the target distance between the entity and the observation point is smaller than or equal to the truncation distance, the capability of the entity is in direct proportion to the target distance, or the capability of the entity is constant; in the case that the target distance is greater than the cutoff distance, the capability of the entity is 0; the target expression is used for representing the corresponding ability of the entity relative to the ability potential field value of any observation point in the confrontation area.

Optionally, the determining, according to the target expression corresponding to each item of capability, a capability coverage of each item of capability includes: under the condition that the first target capacity or the second target capacity is the hitting capacity, calculating a coverage area of the hitting capacity and a corresponding capacity potential field value according to a first target expression corresponding to the hitting capacity and a first target distance between an entity and a first observation point in the target area; wherein, in the first target expression, the truncation distance is a first distance; the first target expression includes: a second distance; the second distance is greater than the first distance; in a case where the first target distance is less than or equal to the first distance, an ability potential field value of the striking ability is constant; in a case where the first target distance is greater than the first distance and less than or equal to the second distance, the capability potential field value of the striking capability is inversely proportional to the first target distance; in a case where the first target distance is greater than the second distance, the capability potential field value of the striking capability is 0.

Optionally, the determining, according to the target expression corresponding to each item of capability, a capability coverage of each item of capability includes: under the condition that the first target capacity or the second target capacity is the striking capacity, calculating a coverage range of the striking capacity and a corresponding capacity potential field value according to a second target expression corresponding to the striking capacity and a second target distance between an entity and a second observation point in the target area; wherein, in the case that the second target distance is less than or equal to the truncation distance of the striking capability, the capability potential field value of the striking capability is represented by the first parameter; and under the condition that the second target distance is greater than the truncation distance of the striking capacity, the potential field value of the striking capacity is 0.

Optionally, the determining, according to the target expression corresponding to each item of capability, a capability coverage of each item of capability includes: under the condition that the first target capability or the second target capability is the detection capability, calculating a coverage range of the detection capability and a corresponding capability potential field value according to a third target expression corresponding to the detection capability and a third target distance between an entity and a third observation point in the target area; wherein, under the condition that the third target distance is less than or equal to the truncation distance of the detection capability, the potential field value of the detection capability is 1; and under the condition that the third target distance is greater than the truncation distance of the detection capability, the potential field value of the detection capability is 0.

Optionally, the determining, according to the target expression corresponding to each item of capability, a capability coverage of each item of capability includes: under the condition that the first target capability or the second target capability is the interference capability, calculating a coverage area of the interference capability and a corresponding capability potential field value according to a fourth target expression corresponding to the interference capability and a fourth target distance between an entity and a fourth observation point in the target area; wherein the interference capability is used to represent a probability of impact on a hit; under the condition that the fourth target distance is smaller than or equal to the truncation distance of the interference capability, the capability potential field value of the interference capability is a target probability value; and under the condition that the fourth target distance is greater than the truncation distance of the interference capability, the potential field value of the interference capability is 0.

Optionally, after determining the capability coverage area of each capability according to the target expression corresponding to each capability, the method further includes: screening out a first entity which contains a target observation point in the target area within the capability coverage range of the first target capability from the entity of the party, and screening out a second entity which contains the target observation point within the capability coverage range of the second target capability from the entity of the enemy; and calculating the first capacity potential field value according to the capacity potential field value of the first target capacity of the first entity, and calculating the second capacity potential field value according to the capacity potential field value of the second target capacity of the second entity.

Optionally, the generating, according to the real-time confrontation data and the artificial potential field model, a first capability potential field value corresponding to a first target capability of the entity of my party and a second capability potential field value corresponding to a second target capability of the entity of the enemy party in a target area in the confrontation area includes: in the process of calculating the capacity potential field value of the third target capacity, calculating the capacity potential field value of the third target capacity according to the capacity influence degree ratio of the fourth target capacity to the capacity potential field value of the third target capacity; wherein the third target capability is any one of the first target capability and the second target capability; the fourth target capability is a capability of opposing an entity of either one of the two parties and capable of affecting a capability potential field value of the third target capability; the capability influence degree ratio of the capability potential field value of the third target capability is as follows: determined based on a capability potential field value of the third target capability.

Optionally, the generating, according to the real-time confrontation data and the artificial potential field model, a first capability potential field value corresponding to a first target capability of a first entity in a target area in the confrontation area and a second capability potential field value corresponding to a second target capability of an enemy entity includes: when the first target capability comprises a plurality of capabilities, calculating the first capability potential field value according to the weight of each capability contained in the first target capability; or, when the second target capability includes a plurality of capabilities, the second capability potential field value is calculated according to the weight of each capability included in the second target capability.

The application also provides a situation estimation device based on artificial potential field, including:

the acquisition module is used for acquiring real-time countermeasure data in a game countermeasure scene; the calculation module is used for generating a first capability potential field value corresponding to a first target capability of the entity of one party in a target area in the confrontation area and a second capability potential field value corresponding to a second target capability of the entity of the enemy according to the real-time confrontation data and the artificial potential field model; the evaluation module is used for evaluating the confrontation situation of the enemy and the my in the target area according to the first and the second force potential field values; the artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the confrontational abilities possessed by the entities include: percussion ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the antagonistic capacities.

Optionally, the apparatus further comprises: a determination module; the modeling function of the artificial potential field model comprises: an electric field function; the determining module is used for determining a target expression corresponding to each item of the countermeasure capacity based on the electric field function; the determining module is further configured to determine a capability coverage range of each item of capability according to the target expression corresponding to each item of capability; wherein the electric field function comprises: a first parameter and a second parameter; the first parameter is used for indicating the charge quantity of the charge carried by the entity; the amount of charge of each entity is positively correlated with the ability of the entity; the types of the electric charges carried by the entities corresponding to the two countermeasures are different, the entity of the party carries positive charges, and the entity of the enemy carries negative charges; the second parameter is used for indicating a truncation distance of an entity, and the truncation distance is used for indicating the capability coverage of the entity; under the condition that the target distance between the entity and the observation point is smaller than or equal to the truncation distance, the capability of the entity is in direct proportion to the target distance, or the capability of the entity is constant; in the case that the target distance is greater than the cutoff distance, the capability of the entity is 0; the target expression is used for representing the corresponding ability of the entity relative to the ability potential field value of any observation point in the confrontation area.

Optionally, the calculating module is specifically configured to, when the first target capability or the second target capability is the hitting capability, calculate a coverage area of the hitting capability and a corresponding capability potential field value according to a first target expression corresponding to the hitting capability and a first target distance between an entity and a first observation point in the target area; wherein, in the first target expression, the truncation distance is a first distance; the first target expression includes: a second distance; the second distance is greater than the first distance; in a case where the first target distance is less than or equal to the first distance, an ability potential field value of the striking ability is constant; in a case where the first target distance is greater than the first distance and less than or equal to the second distance, a capability potential field value of the striking capability is inversely proportional to the first target distance; in a case where the first target distance is greater than the second distance, the capability potential field value of the striking capability is 0.

Optionally, the calculating module is specifically configured to, when the first target capability or the second target capability is the hitting capability, calculate a coverage area of the hitting capability and a corresponding capability potential field value according to a second target expression corresponding to the hitting capability and a second target distance between an entity and a second observation point in the target area; wherein, in the case that the second target distance is less than or equal to the truncation distance of the striking capability, the capability potential field value of the striking capability is represented by the first parameter; and under the condition that the second target distance is greater than the truncation distance of the striking capacity, the potential field value of the striking capacity is 0.

Optionally, the calculating module is specifically configured to, when the first target capability or the second target capability is the detection capability, calculate a coverage area of the detection capability and a corresponding capability potential field value according to a third target expression corresponding to the detection capability and a third target distance between the entity and a third observation point in the target area; wherein, under the condition that the third target distance is less than or equal to the truncation distance of the detection capability, the potential field value of the detection capability is 1; and under the condition that the third target distance is greater than the truncation distance of the detection capability, the potential field value of the detection capability is 0.

Optionally, the calculating module is specifically configured to, when the first target capability or the second target capability is the interference capability, calculate a coverage area of the interference capability and a corresponding capability potential field value according to a fourth target expression corresponding to the interference capability and a fourth target distance between the entity and a fourth observation point in the target area; wherein the interference capability is used to represent a probability of impact on a hit; under the condition that the fourth target distance is smaller than or equal to the truncation distance of the interference capacity, the capacity potential field value of the interference capacity is a target probability value; and under the condition that the fourth target distance is greater than the truncation distance of the interference capability, the potential field value of the interference capability is 0.

Optionally, the determining module is further configured to screen out, from the entity of my party, a first entity that includes a target observation point in the target area within a capability coverage range of the first target capability, and screen out, from the entity of an adversary, a second entity that includes the target observation point within a capability coverage range of the second target capability; the calculating module is specifically configured to calculate the first potential field value according to the potential field value of the first target capability of the first entity, and calculate the second potential field value according to the potential field value of the second target capability of the second entity.

Optionally, the calculating module is specifically configured to, in a process of calculating a potential field value of a third target capability, calculate a potential field value of the third target capability according to a capability influence degree ratio of a fourth target capability to the potential field value of the third target capability; wherein the third target capability is any one of the first target capability and the second target capability; the fourth target capability is a capability of opposing an entity of either one of the two parties and capable of affecting a capability potential field value of the third target capability; the capability influence degree ratio of the capability potential field value of the third target capability is as follows: determined based on a capability potential field value of the third target capability.

Optionally, the calculating module is specifically configured to, when the first target capability includes multiple capabilities, calculate the first capability potential field value according to a weight of each capability included in the first target capability; the calculating module is specifically further configured to calculate the second capability potential field value according to the weight of each capability included in the second target capability when the second target capability includes multiple capabilities.

The present application further provides a computer program product comprising computer program/instructions which, when executed by a processor, implement the steps of the artificial potential field based posture estimation method as described in any of the above.

The present application further provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for estimating a situation based on an artificial potential field as described in any of the above when executing the program.

The present application further provides a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the artificial potential field based posture estimation method as defined in any of the previous claims.

According to the situation estimation method and device based on the artificial potential field, firstly, real-time confrontation data in a game confrontation scene are obtained; then, generating a first ability potential field value corresponding to a first target ability of the entity of one party in a target area in the confrontation area and a second ability potential field value corresponding to a second target ability of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model; and finally, evaluating the confrontation situations of the enemy and my parties in the target area according to the first and second capability potential field values. Therefore, real-time situation estimation of the confrontation situation in the game confrontation scene is realized, and a decision maker is helped to make a corresponding confrontation strategy.

Drawings

In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a situation estimation method based on an artificial potential field provided by the present application;

FIG. 2 is a diagram illustrating evaluation results of the artificial potential field-based situation estimation method provided by the present application;

FIG. 3 is a schematic structural diagram of an artificial potential field-based situation estimation apparatus provided in the present application;

fig. 4 is a schematic structural diagram of an electronic device provided in the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely with reference to the accompanying drawings in the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/", and generally means that the former and latter related objects are in an "or" relationship.

In the related art, conventional situation estimation methods mainly include two types: the probability-based method comprises the steps of providing uncertainty measurement by using Bayesian network, subjective Bayes and other methods, representing qualitative relation in the inference, and simplifying system calculation. In practical application, however, a large amount of priori knowledge is lacked, and probabilistic reasoning has higher complexity; another class is non-probabilistic methods, including methods that use rough set theory, fuzzy logic, and grey system theory, where successful situational awareness is highly dependent on continuous processing of different sides of the environment, and the situational estimation presents a serious challenge to existing methods due to its randomness and uncertainty.

Aiming at the technical problems of the situation estimation method in the related art, the application thinks that the current situation of the confrontation scene can be estimated through the artificial potential field. The artificial potential field method is a classical robot path planning algorithm, and the core idea is that a virtual artificial potential field is formed through the combined action of a repulsive force field of an obstacle and a target position gravitational field, and an optimal path is searched along the gradient descending direction. The situation calculation method based on the artificial potential field can conveniently combine with field knowledge, accurately model equipment capabilities (such as striking capability, detection capability, interference capability and the like) in situation elements, complete fusion calculation and realize quantitative analysis of the capabilities.

The situation estimation method based on the artificial potential field provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.

As shown in fig. 1, a method for estimating a situation based on an artificial potential field according to an embodiment of the present application may include the following steps 101 to 103:

step 101, obtaining real-time countermeasure data in a game countermeasure scene.

Illustratively, when a game play is played using a play algorithm, various data related to the game play can be generated. For example, the number of each arm of each of the two parties, the arm deployment of the two parties, the opposing time, and the like.

And 102, generating a first ability potential field value corresponding to the first target ability of the entity of the party in the target area in the confrontation area and a second ability potential field value corresponding to the second target ability of the entity of the enemy according to the real-time confrontation data and the artificial potential field model.

The artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the antagonistic capacity possessed by the entity includes: hitting ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the countermeasure capacities.

Exemplarily, the modeling function of the artificial potential field model may include: electric field functions, thermal force field functions, fluid mechanics field functions, and the like.

In the embodiments of the present application, an electric field function is mainly described as an example of the modeling function of the artificial potential field model, but the modeling function of the artificial potential field model is not limited to be only an electric field function.

Illustratively, through the artificial potential field model, after the capability of the entity is quantified, a capability potential field value corresponding to the capability of the entity can be obtained. The capability potential field value is used for representing the strength of the corresponding capability.

Illustratively, the target area is an area in the confrontation area where the decision maker needs to know the capability contrast between the friend and foe. It can be understood that, since the strength of the capability is related to the distance, when the strength of the capability of the entity is calculated, the calculation needs to be performed in combination with the distance between the entity and the target area.

For example, in the game fighting scenario, the different abilities of the respective entities of the two parties can be quantified through an artificial potential field model. Before quantifying the different capabilities of an entity, the capabilities of interest to a decision maker need to be partitioned. For example, the capabilities of an entity can be divided into: percussive capability, interference capability, probing capability, etc.

It should be noted that the capabilities of the entity include, but are not limited to, the hitting capability, the disturbance capability, and the detection capability, and other capabilities of the entity may also be quantified through the artificial potential field model according to the needs of the decision maker. For example, the capabilities of the entity may also include: the anti-interference capability, the defense capability and the like can be digitalized through the artificial potential field model.

For example, the first target capability and the second target capability may be the same or different. Under the condition that the first target capability is the same as the second target capability, the decision maker is indicated to know the strength contrast of the same capabilities of both the enemy and the my; and under the condition that the first target capability is different from the second target capability, the decision maker is required to know the contrast of the offensive and defensive capabilities of the enemy and my parties.

It is to be understood that, in the case where the first target capability is different from the second target capability, the first target capability and the second target capability are opposite capabilities, such as a hitting capability and a defense capability, or an interference capability and an interference resistance capability, and the like.

103, evaluating the confrontation situation of the enemy and the my in the target area according to the first and the second potential field values.

For example, after obtaining the first and second capability potential field values, the opposing situation of both the enemy and the my in the target area may be evaluated according to the first and second capability potential field values.

It should be noted that the confrontation situation is determined based on the disposition of the forces (i.e., the entities) of the current enemy and my parties in the confrontation area. The confrontational situation can change along with the change of the force deployment of the enemy and the my.

Optionally, in this embodiment of the present application, taking the modeling function of the artificial potential field model as an electric field function as an example, the step of digitizing, by using the artificial potential field model, different capabilities of the entity in this embodiment of the present application is described in detail.

Illustratively, the modeling function of the artificial potential field model includes: an electric field function; the step 102 may include the following steps 102a1 and 102a2:

step 102a1, determining a target expression corresponding to each item of the confrontational capacity based on the electric field function.

Step 102a2, determining the capability coverage range of each item of capability according to the target expression corresponding to each item of capability.

Wherein the electric field function comprises: a first parameter and a second parameter; the first parameter is used for indicating the charge quantity of the charge carried by the entity; the amount of charge of each entity is positively correlated with the ability of the entity; the types of the electric charges carried by the entities corresponding to the two countermeasures are different, the entity of the party carries positive charges, and the entity of the enemy carries negative charges; the second parameter is used for indicating a truncation distance of an entity, and the truncation distance is used for indicating the capability coverage of the entity; in the case that the target distance between the entity and the observation point is less than or equal to the truncation distance, the capability of the entity is proportional to the target distance; in the case that the target distance is greater than the cutoff distance, the capability of the entity is 0; the target expression is used for representing the corresponding ability of the entity relative to the ability potential field value of any observation point in the confrontation area.

For example, in the case that the modeling function is an electric field function, the capability of the entity may be calculated according to the following formula one, or the formula two, that is, the following formula one, and/or the formula two may be a target expression corresponding to the capability of the entity, and the target expression corresponding to different capabilities may be changed according to different capabilities.

Where q represents the amount of charge carried by the entity, the amount of charge being proportional to the corresponding capability (e.g., attack, defense, etc.) of the entity. The types of charges carried by the enemy and the my party are different, wherein the enemy carries positive charges, and the enemy carries negative charges. Rho ₀ Is a cutoff distance that represents the capability range of the entity (e.g., the strike range of the strike capability). ρ (q, q) _obs ) Representing the distance between the entity and the observation point, namely the target distance; η is the attenuation coefficient, and the capacity of the entity decreases with increasing distance.

Where c is a constant, it can be understood that the value of the capability potential field corresponding to the capability of the entity is constant within the truncation distance.

For example, the observation point may be any point in the target area, and for example, the observation point may be a center position of the target area, or may be a position in the target area where two enemies and people may engage in a battle.

It can be understood that, because the distances between the entities and the observation points are different, and the values of the ability potential field corresponding to the abilities of the entities are also different, when calculating the ability potential field of a certain ability of an entity, a target expression corresponding to the ability and the distance between the observation points need to be combined. Moreover, since the calculation entity has a huge calculation amount for the capability potential field value of each point in the target region, the capability of the entity (i.e. the capability potential field value) in the target region can be determined by calculating the capability potential field value of the entity relative to any observation point in the target region. Thus, the calculation amount can be greatly reduced.

Illustratively, based on the electric field function, after it is deformed according to the capability required to be calculated, the capability potential field values of different capabilities of the two entities of the friend or foe can be calculated.

For example, after the step 102a, the step 102 may further include the following step 102b for the hitting ability of the more mobile entity:

step 102b, when the first target capability or the second target capability is the striking capability, calculating a coverage area of the striking capability and a corresponding capability potential field value according to a first target expression corresponding to the striking capability and a first target distance between an entity and a first observation point in the target area.

Wherein, in the first target expression, the truncation distance is a first distance; the first target expression includes: a second distance; the second distance is greater than the first distance; in the case that the first target distance is smaller than or equal to the first distance, the energy potential field value of the striking capability is constant; in a case where the first target distance is greater than the first distance and less than or equal to the second distance, a capability potential field value of the striking capability is inversely proportional to the first target distance; in a case where the first target distance is greater than the second distance, the capability potential field value of the striking capability is 0.

Illustratively, according to the modeling function of the artificial potential field model, the capability modeling is carried out on the entities of the enemy and the my parties by combining the state information of the entities and equipment parameters (such as mounting parameters, detection modes, interference modes and the like), and the capability coverage range of the entities and the capability potential field value of any observation point in the capability coverage range are calculated.

Illustratively, the striking capability may include: the hitting capacity to the ground, the hitting capacity to the air, the hitting capacity to the sea and the like are determined by the number of weapons carried by the entity, the weapon type and the like. For entities with strong mobility, such as airplanes, tanks and the like, a larger range of threat range can be constructed on the basis of the actual capacity range.

For example, based on the above formula one and formula two, the first target expression corresponding to the striking ability of the entity may be expressed by the following formula three.

Wherein, ρ' _f Greater than the cutoff distance ρ _f Usually ρ' _f Is rho _f Twice as much. Under the condition that the first target distance between the entity and the first observation point is smaller than the truncation distance (namely the first distance), the energy potential field value corresponding to the striking capability of the entity is constant; when the first target distance is greater than the first distance and less than or equal to the second distance, the value of the capability potential field corresponding to the striking capability of the entity decreases with the increase of the distance, and the attenuation coefficient is η.

It should be noted that the third formula may be obtained on the basis of the second formula, or may be obtained by combining the first formula and the second formula.

For example, after the step 102a, the step 102 may further include the following step 102c for the percussion ability of the less mobile entity:

step 102c, when the first target capability or the second target capability is the striking capability, calculating a coverage area of the striking capability and a corresponding capability potential field value according to a second target expression corresponding to the striking capability and a second target distance between the entity and a second observation point in the target area.

Wherein, in the case that the second target distance is less than or equal to the truncation distance of the striking capability, the capability potential field value of the striking capability is represented by the first parameter; and in the case that the second target distance is greater than the truncation distance of the hitting capability, the capability potential field value of the hitting capability is 0.

It can be understood that a less maneuverable entity, such as a ship, may construct a range of hitting capabilities with the missile hitting range as the radius.

For example, based on the above formula two, the second target expression corresponding to the striking capability of the entity may be expressed by the following formula four.

Wherein, at rho (q, q) _obs ) (i.e., the second target distance) is less than or equal to the cutoff distance ρ _f In the case of (2), the capability field value of the striking capability of the entity is q (i.e., the first parameter); at the rho (q, q) _obs ) Greater than the cutoff distance ρ _f In the case of (2), the capability potential field value of the percussion capability of the entity is 0.

It should be noted that, in the embodiment of the present application, the truncation distances corresponding to different capabilities may be the same or different. The truncation distance in the embodiments of the present application is used to indicate the coverage of the corresponding capability.

For example, after the step 102a, the step 102 may further include the following step 102d, with respect to the capability field value of the detection capability of the entity:

step 102d, when the first target capability or the second target capability is the detection capability, calculating a coverage area of the detection capability and a corresponding capability potential field value according to a third target expression corresponding to the detection capability and a third target distance between the entity and a third observation point in the target area.

Wherein, under the condition that the third target distance is less than or equal to the truncation distance of the detection capability, the potential field value of the detection capability is 1; and under the condition that the third target distance is greater than the truncation distance of the detection capability, the capability potential field value of the detection capability is 0.

Illustratively, the probing capabilities of an entity include: the capability of equipment with detection capability such as early warning machines, radars and the like.

Illustratively, based on the above formula two, the third target expression corresponding to the detection capability of the entity may be represented by the following formula five:

wherein ρ _d When the distance between the entity and the observation point (i.e. the third target distance) is less than or equal to the truncation distance, the potential field value corresponding to the detection capability of the entity is 1; and when the distance between the entity and the observation point is greater than the truncation distance, the capability potential field value corresponding to the detection capability of the entity is 0.

For example, after the step 102a, the step 102 may further include the following step 102e, with respect to the capability field value of the interference capability of the entity:

step 102e, under the condition that the first target capability or the second target capability is the interference capability, calculating a coverage area of the interference capability and a corresponding capability potential field value according to a fourth target expression corresponding to the interference capability and a fourth target distance between the entity and a fourth observation point in the target area.

Wherein the interference capability is used to represent a probability of impact on a hit; under the condition that the fourth target distance is smaller than or equal to the truncation distance of the interference capacity, the capacity potential field value of the interference capacity is a target probability value; and under the condition that the fourth target distance is greater than the truncation distance of the interference capability, the potential field value of the interference capability is 0.

Illustratively, the interference capabilities of the entity include: jammers, and equipment with jamming capability such as economy.

Illustratively, based on the above formula two, the fourth target expression corresponding to the interference capability of the entity may be represented by the following formula six:

wherein ρ _s When the distance between the entity and the observation point (i.e. the fourth target distance) is less than or equal to the truncation distance, the capability potential field value corresponding to the interference capability of the entity is h, which is the influence probability on the hit; and when the distance between the entity and the observation point is greater than the truncation distance, the capability potential field value corresponding to the detection capability of the entity is 0.

Illustratively, after the entity capacity is quantified through the artificial potential field model, the related capacity can be calculated in an overlapping manner according to the information concerned by the decision maker and the specific behavior rule, and a visualized analysis result is given. The visual analysis result may be a thermodynamic diagram or the like.

After the step 102a, the step 102 may further include the following steps 102f1 and 102f2:

step 102f1, screening out a first entity which comprises a target observation point in the target area within the capability coverage range of the first target capability from the entity of our party, and screening out a second entity which comprises the target observation point within the capability coverage range of the second target capability from the entity of the enemy party.

102f2, calculating the first ability potential field value according to the ability potential field value of the first target ability of the first entity, and calculating the second ability potential field value according to the ability potential field value of the second target ability of the second entity.

If any party does not have a qualified entity, the capability field value of the party for the capability in the target area is 0.

It can be understood that entities in the countermeasure area may not all affect the countermeasure situation of the target area, and only the entity including the target observation point in the capability coverage area may affect the countermeasure situation of the target area by a specific influence length, which is the capability field value corresponding to the capability. The capability potential field values (obtained based on the distance between the entity and the target observation point) of all entities capable of influencing the confrontation situation of the target area are subjected to superposition calculation, so that the same capability or different capabilities of the enemy and the my in the target area can be compared, and the confrontation situation in the target area can be evaluated.

For example, as shown in fig. 2, based on the situation estimation method based on the artificial potential field provided by the embodiment of the present application, a comparison result of the hitting abilities of both the enemy and the my party with respect to the a area (i.e., the above-mentioned target area) in the confrontation area can be obtained. As shown in fig. 2, the hitting ability of the military strength of my party (i.e., the entity of my party) in the area a is 205 (i.e., the ability potential field value corresponding to the hitting ability), and the hitting ability of the military strength of the enemy party (i.e., the entity of the enemy) in the area a is 220. Based on this, it is possible to determine that the hitting ability of my party is weak and the hitting ability of the enemy party is weak in the a area.

Optionally, in this embodiment of the present application, due to differences between different types of entities, in the case of calculating a certain capability of co-marketing, weights of the different types of entities need to be considered.

Illustratively, the step 102 may include the following step 102g1, or step 102g2:

step 102g1, when the first target capability includes a plurality of capabilities, calculating the first capability potential field value according to the weight of each capability included in the first target capability.

Step 102g2, when the second target capability includes a plurality of capabilities, calculating the second capability potential field value according to the weight of each capability included in the second target capability.

For example, in the case of performing capability potential field value superposition calculation on entities of the same capability and different types, the weight of each capability may be determined according to equipment parameters of the entities of different types, and then, the capability potential field value after superposition of multiple capabilities in the target area may be calculated according to the capability potential field value of each entity and the corresponding weight.

It will be appreciated that the entities are of different types and are not computed in exactly the same way for the same capability. For example, helicopter and fighter have different hit capabilities and different target expressions.

For example, explaining the striking capabilities corresponding to different types of entities as an example, the capability potential field values of the multiple capabilities can be calculated by superposing according to the following formula seven:

wherein A is all the entities with air striking capability, and λ _i And (3) for the strength coefficient (namely the weight corresponding to each entity), according to the formula seven, the air hitting capacity corresponding to different types of entities can be subjected to superposition calculation, and the capacity potential field value of the entity contained in the A is obtained.

It should be noted that the above calculation process is a calculation process for the capability field values of the same marketing, different types of entities, and the same capability. The calculation of the potential field value among different camps is not influenced by the other camps.

Optionally, in this embodiment of the present application, the calculation of the capability field value of a certain capability may also be affected by other capabilities of the same team, and/or other capabilities of the opposite team.

Illustratively, the step 102 may further include the following step 102h:

102h, in the process of calculating the capacity potential field value of the third target capacity, calculating the capacity potential field value of the third target capacity according to the capacity influence degree ratio of the fourth target capacity to the capacity potential field value of the third target capacity.

Wherein the third target capability is any one of the first target capability and the second target capability; the fourth target capability is a capability of opposing an entity of either one of the two parties and capable of affecting a capability potential field value of the third target capability; the capability influence degree ratio of the capability potential field value of the third target capability is as follows: determined based on a capability potential field value of said third target capability.

Illustratively, for the calculation of the potential field value of a certain ability against any one of the two parties, the influence of other abilities in the same (and the other party) needs to be considered. For example, the hitting ability of my to the target area is affected by the detection ability of my to the target area and the interference ability of the enemy, that is, the hitting ability of my to the target area is greatly reduced under the condition that the detection ability of my to the target area is weak or the interference ability of the enemy to the target area is strong.

For example, taking "whether my side occupies the empty space in the target area" as an example, the empty space hitting capability comprehensive potential field value of my side for the target area is calculated. Whether our party occupies the air dominance needs to be evaluated, the air striking capability potential field value of the two sides of the enemy and the my party to the target area needs to be calculated respectively, the air striking capability of the enemy and the enemy is influenced by the detection capability of the our party and the interference capability of the enemy, and the air striking capability of the enemy and the interference capability of the our party are influenced.

Based on the formula, the capability potential field value of the detection capability of our party on the target area can be obtained:

and the capability potential field value of the detection capability of the enemy to the target area:

the potential field value of the interference ability of our party to the target area is as follows:

and the ability to interfere with the target area by the enemy:

potential field value of the ability of the free hitting ability of our party to the target area

And the ability to interfere with the target area by the enemy:

and finally, obtaining the capability potential field value of the comprehensive capability of the enemy and the my aiming at the target area to the blank percussion capability by using the following formula eight and carrying out superposition calculation on the capabilities of the enemy and the my based on the peer-to-peer principle:

illustratively, the capability potential field values of the first target capability and the second target capability can be calculated after considering the influence of other capabilities of the two enemies and the two parties on the first target capability and the second target capability.

For example, after obtaining the first capability potential field value of the first target capability and the second capability potential field value of the second target capability, the first capability potential field value and the second capability potential field value may be calculated by superposition, so as to determine the opponent situations of the enemy and my parties in the target area. The confrontational situation includes: and comparing the strength of the double abilities of the enemy and the party in the target area.

For example, after the confrontation situations of the enemy and my parties in the target area are evaluated, a corresponding confrontation strategy can be formulated according to the evaluation result, and the achievement of the confrontation target is facilitated.

The situation estimation method based on the artificial potential field utilizes the artificial potential field function to model equipment from different capacity domains, decomposes and fuses equipment capacity in situation elements, can effectively reduce situation information dimensionality, is small in calculation amount, and can be applied to scenes with requirements on timeliness. Meanwhile, parameters and operation of the artificial potential field function can be regulated and controlled by equipment parameters and behavior rules, and modeling precision and reasonability are improved. Meanwhile, the entity capabilities are digitalized through the artificial potential field function, comprehensive capability thermodynamic diagrams can be drawn from different sides for visual display, and the strength of the capability can be visually compared. The related variables of the artificial potential field function in the modeling process and the superposition process can be parameterized (such as strength coefficients and the like), and the parameters can be rapidly adjusted according to the simulation result and the theoretical effect, so that the artificial potential field model is optimized.

It should be noted that, in the method for estimating a situation based on an artificial potential field provided in the embodiment of the present application, the execution subject may be an artificial potential field-based situation estimation apparatus, or a control module in the artificial potential field-based situation estimation apparatus for executing the artificial potential field-based situation estimation method. The embodiment of the present application describes a situation estimation apparatus based on an artificial potential field, which is provided by the embodiment of the present application, by taking an example in which the situation estimation apparatus based on an artificial potential field executes a situation estimation method based on an artificial potential field.

In the embodiments of the present application, the above-described methods are illustrated in the drawings. The situation estimation method based on artificial potential field is exemplified by combining with a drawing in the embodiment of the present application. In specific implementation, the situation estimation method based on the artificial potential field shown in the above method drawings can also be implemented by combining any other drawings that can be combined and are illustrated in the above embodiments, and details are not described here.

The artificial potential field-based situation estimation apparatus provided by the present application is described below, and the following description and the above-described artificial potential field-based situation estimation method may be referred to in correspondence with each other.

Fig. 3 is a schematic structural diagram of a situation estimation apparatus based on an artificial potential field according to an embodiment of the present application, as shown in fig. 3, specifically including:

the obtaining module 301 is configured to obtain real-time countermeasure data in a game countermeasure scene; a calculating module 302, configured to generate, according to the real-time confrontation data and the artificial potential field model, a first capability potential field value corresponding to a first target capability of the entity of my party in a target area in the confrontation area and a second capability potential field value corresponding to a second target capability of the entity of the enemy party; the evaluation module 303 is configured to evaluate the confrontation situations of the enemy and my parties in the target area according to the first and second capability field values; the artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the antagonistic capacity possessed by the entity includes: percussion ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the countermeasure capacities.

Optionally, the apparatus further comprises: a determination module; the modeling function of the artificial potential field model comprises: an electric field function; the determining module is used for determining a target expression corresponding to each item of the countermeasure capacity based on the electric field function; the determining module is further configured to determine a capability coverage range of each item of capability according to the target expression corresponding to each item of capability; wherein the electric field function comprises: a first parameter and a second parameter; the first parameter is indicative of an amount of charge carried by the entity; the amount of charge of each entity is positively correlated with the ability of the entity; the types of the electric charges carried by the entities corresponding to the two countermeasures are different, the entity of the party carries positive charges, and the entity of the enemy carries negative charges; the second parameter is used for indicating a truncation distance of an entity, and the truncation distance is used for indicating the capability coverage of the entity; in the case that the target distance between the entity and the observation point is less than or equal to the truncation distance, the capability of the entity is in direct proportion to the target distance, or the capability of the entity is a constant; in the case that the target distance is greater than the cutoff distance, the capability of the entity is 0; the target expression is used for representing the corresponding capability of the entity relative to the capability potential field value of any observation point in the confrontation area.

Optionally, the calculating module 302 is specifically configured to, when the first target capability or the second target capability is the hitting capability, calculate a coverage area of the hitting capability and a corresponding capability potential field value according to a first target expression corresponding to the hitting capability and a first target distance between an entity and a first observation point in the target area; wherein, in the first target expression, the truncation distance is a first distance; the first target expression includes: a second distance; the second distance is greater than the first distance; in a case where the first target distance is less than or equal to the first distance, an ability potential field value of the striking ability is constant; in a case where the first target distance is greater than the first distance and less than or equal to the second distance, a capability potential field value of the striking capability is inversely proportional to the first target distance; in a case where the first target distance is greater than the second distance, the capability potential field value of the striking capability is 0.

Optionally, the calculating module 302 is specifically configured to, when the first target capability or the second target capability is the hitting capability, calculate a coverage area of the hitting capability and a corresponding capability potential field value according to a second target expression corresponding to the hitting capability and a second target distance between an entity and a second observation point in the target area; wherein, in the case that the second target distance is less than or equal to the truncation distance of the striking capability, the capability potential field value of the striking capability is represented by the first parameter; and under the condition that the second target distance is greater than the truncation distance of the striking capacity, the potential field value of the striking capacity is 0.

Optionally, the calculating module 302 is specifically configured to, when the first target capability or the second target capability is the detection capability, calculate a coverage area of the detection capability and a corresponding capability potential field value according to a third target expression corresponding to the detection capability and a third target distance between an entity and a third observation point in the target area; wherein, in case the third target distance is less than or equal to the truncation distance of the detection capability, the capability potential field value of the detection capability is 1; and under the condition that the third target distance is greater than the truncation distance of the detection capability, the potential field value of the detection capability is 0.

Optionally, the calculating module 302 is specifically configured to, when the first target capability or the second target capability is the interference capability, calculate a coverage area of the interference capability and a corresponding capability potential field value according to a fourth target expression corresponding to the interference capability and a fourth target distance between the entity and a fourth observation point in the target area; wherein the interference capability is used to represent a probability of impact on a hit; under the condition that the fourth target distance is smaller than or equal to the truncation distance of the interference capability, the capability potential field value of the interference capability is a target probability value; and under the condition that the fourth target distance is greater than the truncation distance of the interference capability, the capability potential field value of the interference capability is 0.

Optionally, the determining module is further configured to screen out, from the entity of my party, a first entity that includes a target observation point in the target area within a capability coverage range of the first target capability, and screen out, from the entity of an adversary, a second entity that includes the target observation point within a capability coverage range of the second target capability; the calculating module 302 is specifically configured to calculate the first potential field value according to the potential field value of the first target capability of the first entity, and calculate the second potential field value according to the potential field value of the second target capability of the second entity.

Optionally, the calculating module 302 is specifically configured to, in a process of calculating a capability potential field value of a third target capability, calculate a capability potential field value of the third target capability according to a capability influence degree ratio of a fourth target capability to the capability potential field value of the third target capability; wherein the third target capability is any one of the first target capability and the second target capability; the fourth target capability is a capability of opposing an entity of either one of the two parties and capable of affecting a capability potential field value of the third target capability; the capability influence degree ratio of the capability potential field value of the third target capability is as follows: determined based on a capability potential field value of the third target capability.

Optionally, the calculating module 302 is specifically configured to, when the first target capability includes multiple capabilities, calculate the first capability potential field value according to a weight of each capability included in the first target capability; the calculating module 302 is specifically further configured to calculate the second capability potential field value according to the weight of each capability included in the second target capability when the second target capability includes multiple capabilities.

The application provides a situation estimation device based on artificial potential field utilizes artificial potential field function to model from different ability domains and equips, decomposes and fuses the equipment ability in the situation element, can effectively reduce situation information dimension, and the amount of calculation is little itself, can be applied to the scene that has the requirement to the ageing. Meanwhile, parameters and operation of the artificial potential field function can be regulated and controlled by equipment parameters and behavior rules, and modeling precision and reasonability are improved. Meanwhile, the entity capabilities are digitalized through an artificial potential field function, comprehensive capability thermodynamic diagrams can be drawn from different sides for visual display, and the strength of the capabilities can be visually compared. The related variables of the artificial potential field function in the modeling process and the superposition process can be parameterized (such as strength coefficients and the like), and the parameters can be rapidly adjusted according to the simulation result and the theoretical effect, so that the artificial potential field model is optimized.

Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a communication Interface 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a method of artificial potential field based situational estimation comprising: acquiring real-time countermeasure data in a game countermeasure scene; generating a first capacity potential field value corresponding to the first target capacity of the entity of one party in a target area in the confrontation area and a second capacity potential field value corresponding to the second target capacity of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model; according to the first and second potential field values, evaluating the adversarial situations of the enemy and the my in the target area; the artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the antagonistic capacity possessed by the entity includes: hitting ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the antagonistic capacities.

In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present application further provides a computer program product, including a computer program stored on a computer-readable storage medium, the computer program including program instructions, which when executed by a computer, enable the computer to perform the artificial potential field based posture estimation method provided by the above methods, the method including: acquiring real-time countermeasure data in a game countermeasure scene; generating a first capability potential field value corresponding to a first target capability of the entity of one party in a target area in the confrontation area and a second capability potential field value corresponding to a second target capability of the entity of the enemy in the target area according to the real-time confrontation data and the artificial potential field model; according to the first and second potential field values, evaluating the adversarial situations of the enemy and the my in the target area; the artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the confrontational abilities possessed by the entities include: percussion ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the antagonistic capacities.

In yet another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the artificial potential field based situation estimation methods provided above, the method comprising: acquiring real-time countermeasure data in a game countermeasure scene; generating a first capacity potential field value corresponding to the first target capacity of the entity of one party in a target area in the confrontation area and a second capacity potential field value corresponding to the second target capacity of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model; according to the first and second capability potential field values, the confrontation situations of the enemy and my parties in the target area are evaluated; the artificial potential field model is used for quantifying the capacity of each entity in the confrontation process; the confrontational abilities possessed by the entities include: percussion ability, interference ability, detection ability; the first target capacity is any one of the antagonistic capacities; the second target capacity is any one of the countermeasure capacities.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A situation estimation method based on an artificial potential field is characterized by comprising the following steps:

acquiring real-time countermeasure data in a game countermeasure scene;

generating a first capacity potential field value corresponding to the first target capacity of the entity of one party in a target area in the confrontation area and a second capacity potential field value corresponding to the second target capacity of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model;

according to the first and second potential field values, evaluating the adversarial situations of the enemy and the my in the target area;

2. The method of claim 1, wherein said modeling function of said artificial potential field model comprises: an electric field function;

generating a first ability potential field value corresponding to a first target ability of the entity of one party in a target area in the confrontation area and a second ability potential field value corresponding to a second target ability of the entity of the enemy party according to the real-time confrontation data and the artificial potential field model, and the method comprises the following steps:

determining a target expression corresponding to each item of the countermeasure capacity based on the electric field function;

determining the capability coverage range of each item of capability according to the target expression corresponding to each item of capability;

wherein the electric field function comprises: a first parameter and a second parameter; the first parameter is used for indicating the charge quantity of the charge carried by the entity; the amount of charge of each entity is positively correlated with the ability of the entity; the types of the electric charges carried by the entities corresponding to the two countermeasures are different, the entity of the party carries positive charges, and the entity of the enemy carries negative charges; the second parameter is used for indicating a truncation distance of an entity, and the truncation distance is used for indicating the capability coverage of the entity; in the case that the target distance between the entity and the observation point is less than or equal to the truncation distance, the capability of the entity is in direct proportion to the target distance, or the capability of the entity is a constant; in the case that the target distance is greater than the cutoff distance, the capability of the entity is 0; the target expression is used for representing the corresponding ability of the entity relative to the ability potential field value of any observation point in the confrontation area.

3. The method of claim 2, wherein the determining the capability coverage of each capability according to the target expression corresponding to each capability comprises:

under the condition that the first target capacity or the second target capacity is the hitting capacity, calculating a coverage area of the hitting capacity and a corresponding capacity potential field value according to a first target expression corresponding to the hitting capacity and a first target distance between an entity and a first observation point in the target area;

wherein, in the first target expression, the truncation distance is a first distance; the first target expression includes: a second distance; the second distance is greater than the first distance; in a case where the first target distance is less than or equal to the first distance, an ability potential field value of the striking ability is constant; in a case where the first target distance is greater than the first distance and less than or equal to the second distance, a capability potential field value of the striking capability is inversely proportional to the first target distance; in a case where the first target distance is greater than the second distance, the capability potential field value of the striking capability is 0.

4. The method of claim 2, wherein the determining the capability coverage of each capability according to the target expression corresponding to each capability comprises:

under the condition that the first target capacity or the second target capacity is the striking capacity, calculating a coverage range of the striking capacity and a corresponding capacity potential field value according to a second target expression corresponding to the striking capacity and a second target distance between an entity and a second observation point in the target area;

wherein, in the case that the second target distance is less than or equal to the truncation distance of the striking capability, the capability potential field value of the striking capability is represented by the first parameter; and under the condition that the second target distance is greater than the truncation distance of the striking capacity, the potential field value of the striking capacity is 0.

5. The method of claim 2, wherein the determining the capability coverage of each capability according to the target expression corresponding to each capability comprises:

under the condition that the first target capability or the second target capability is the detection capability, calculating a coverage range of the detection capability and a corresponding capability potential field value according to a third target expression corresponding to the detection capability and a third target distance between an entity and a third observation point in the target area;

wherein, under the condition that the third target distance is less than or equal to the truncation distance of the detection capability, the potential field value of the detection capability is 1; and under the condition that the third target distance is greater than the truncation distance of the detection capability, the potential field value of the detection capability is 0.

6. The method according to claim 2, wherein the determining the capability coverage of each capability according to the target expression corresponding to each capability comprises:

under the condition that the first target capability or the second target capability is the interference capability, calculating a coverage area of the interference capability and a corresponding capability potential field value according to a fourth target expression corresponding to the interference capability and a fourth target distance between an entity and a fourth observation point in the target area;

wherein the interference capability is used to represent a probability of impact on a hit; under the condition that the fourth target distance is smaller than or equal to the truncation distance of the interference capacity, the capacity potential field value of the interference capacity is a target probability value; and under the condition that the fourth target distance is greater than the truncation distance of the interference capability, the capability potential field value of the interference capability is 0.

7. The method according to claim 2, wherein after determining the capability coverage of each capability according to the target expression corresponding to each capability, the method further comprises:

screening out a first entity which contains a target observation point in the target area within the capability coverage range of the first target capability from the entity of the party, and screening out a second entity which contains the target observation point within the capability coverage range of the second target capability from the entity of the enemy;

and calculating the first capacity potential field value according to the capacity potential field value of the first target capacity of the first entity, and calculating the second capacity potential field value according to the capacity potential field value of the second target capacity of the second entity.

8. The method according to any one of claims 1 to 7, wherein the generating of a first capability potential field value corresponding to a first target capability of my entity and a second capability potential field value corresponding to a second target capability of an enemy entity in a target area in a confrontation area according to the real-time confrontation data and an artificial potential field model comprises:

in the process of calculating the capacity potential field value of the third target capacity, calculating the capacity potential field value of the third target capacity according to the capacity influence degree ratio of a fourth target capacity to the capacity potential field value of the third target capacity;

9. The method according to any one of claims 1 to 7, wherein the generating a first ability potential field value corresponding to a first target ability of my entity and a second ability potential field value corresponding to a second target ability of an enemy entity in a target area in a confrontation area according to the real-time confrontation data and an artificial potential field model comprises:

when the first target capability comprises a plurality of capabilities, calculating the first capability potential field value according to the weight of each capability contained in the first target capability;

alternatively, the first and second electrodes may be,

and under the condition that the second target capability comprises a plurality of capabilities, calculating the second capability potential field value according to the weight of each capability contained in the second target capability.

10. An artificial potential field based situation estimation apparatus, characterized in that the apparatus comprises:

the acquisition module is used for acquiring real-time countermeasure data in a game countermeasure scene;

the calculation module is used for generating a first capability potential field value corresponding to a first target capability of the entity of one party in a target area in the confrontation area and a second capability potential field value corresponding to a second target capability of the entity of the enemy according to the real-time confrontation data and the artificial potential field model;

the evaluation module is used for evaluating the confrontation situation of the enemy and the my in the target area according to the first and the second force potential field values;