CN116861712B - Efficient damage modeling method and system based on few public parameters - Google Patents
Efficient damage modeling method and system based on few public parameters Download PDFInfo
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- 230000006378 damage Effects 0.000 title claims abstract description 122
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- 208000014674 injury Diseases 0.000 claims abstract description 32
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Abstract
The invention discloses a high-efficiency damage modeling method and system based on a small amount of public parameters, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a light weapon identifier to be simulated in real time, and reading a prestored parameter value capable of publicly acquiring public parameters closely related to the performance of the light weapon to be simulated; determining parameter values of unpublished parameters which cannot be publicly acquired and are closely related to the performance of the firearm to be simulated in real time through a parameter model; judging whether the target to be destroyed has at least one device for resisting injury; if the object to be destroyed has at least one device for resisting injury, obtaining the sum of the maximum penetration kinetic energy of all devices for resisting injury of the object to be destroyed; simulating the damage capability of the light weapon to be simulated to the target to be damaged through the damage model of the light weapon to be simulated. The invention can simulate the damage efficiency of the bullet to the target in real combat with high efficiency, high speed and high accuracy.
Description
Technical Field
The invention belongs to the technical field of artificial intelligence, and particularly relates to a high-efficiency damage modeling method and system based on a small number of public parameters.
Background
With the rise of artificial intelligence in recent years, application points and demand of strategy simulation environments are continuously expanded, and the strategy simulation environments comprise a task planning system based on the strategy simulation environments, a multi-agent cooperative control system, a chess deduction system and the like. The development of these systems is strongly dependent on the simulation environment and has relatively strong requirements and constraints on the simulation environment. On the one hand, the simulation environment is required to simulate the real combat as precisely and accurately as possible, for example: the flying track of a bullet, the damage efficiency after hitting the target, etc. On the other hand, since most systems require artificial intelligence to interact directly with the simulation environment, such as: the multi-agent reinforcement learning training, therefore, requires very high operating efficiency of the simulation environment, which directly affects the sampling efficiency of the reinforcement learning in the model training phase. In addition, the detailed parameters of most firearm guns at home and abroad are not completely disclosed due to confidentiality requirements. Therefore, how to efficiently, quickly, and accurately simulate the destructive performance of a bullet with a small number of disclosed parameters is an important issue when simulating the firing function of a particular firearm.
Disclosure of Invention
The invention provides a high-efficiency damage modeling method and system based on a small amount of public parameters, and unbiased estimation is also carried out on important parameters in a model.
According to a first aspect of the present invention, a method for efficient damage modeling based on a small number of disclosed parameters, applied in a policy simulation environment, implemented with an electronic device having computing power, comprises the steps of:
s1, acquiring a light weapon identifier to be simulated in real time, and reading a prestored parameter value which can be publicly acquired and is closely related to the performance of the light weapon to be simulated; the light weapon identification to be simulated is stored correspondingly to the parameter value of the public parameter;
s2, determining parameter values of unpublished parameters which cannot be publicly acquired and are closely related to the performance of the light weapon to be simulated in real time through a parameter model;
s3, judging whether the target to be destroyed has at least one device for resisting injury; if the judgment result is no, turning to the step S5; if the judgment result is yes, turning to the step S4;
s4, if the target to be destroyed has at least one device for resisting damage, acquiring the sum of the maximum penetration kinetic energy of all devices for resisting damage of the target to be destroyed;
s5, when the target to be destroyed does not have equipment for resisting injury, inputting the parameter values of the public parameters and the parameter values of the unpublished parameters into a destruction model of the light weapon to be simulated, and determining that the light weapon to be simulated has the destruction capability of the target to be destroyed; when the target to be destroyed has at least one device for resisting injury, inputting the sum of the parameter value of the public parameter and the parameter value of the unpublished parameter and the maximum penetration kinetic energy into a destruction model of the light weapon to be simulated, and simulating the destruction capability of the light weapon to be simulated to the target to be destroyed through the destruction model of the light weapon to be simulated.
Further, in step S2, the parameter values of the unpublished parameters may be determined by:
s21, setting an initial value k of an object motion resistance coefficient 0 ；
S22, reading the public parameters closely related to the performance of the light weapon to be simulated, wherein the public parameters comprise the bullet mass m and the bullet flight speed V in an initial state 0 ；
S23, reading the total flight time T of the current bullet;
s24, calculating an object motion resistance coefficient according to the following formula;
where k is the object motion resistance coefficient, f (k) is a function of the solution k, f' (k) is the derivative of f (k), m is the mass of the bullet, T is the total motion time of the object, S is the distance the object moves from the beginning to the moment T, v 0 Is the bullet flying speed k in the initial state j+1 The motion resistance coefficient, k, of the object is obtained for the j+1th iteration step j Obtaining an object motion resistance coefficient for the jth iteration step;
s25, repeating the step S23 and the step S24, and when k is the same j+1 And k j When the absolute value of the error is smaller than a predetermined threshold value, an approximate solution of the object motion resistance coefficient k is obtained.
Further, in step S4, the damage model of the firearm to be simulated is:
where alive (m, v) represents whether the target survives injury, m is the mass of the bullet, k is the approximate solution of the object motion resistance coefficient k, C is the air resistance coefficient, D i Is the maximum penetration kinetic energy of the ith injury-resistant equipment of the target to be destroyed, and t is the bullet flight time.
Further, C is the bullet flight speed V in the initial state 0 Inverse of (2), namely: c=1/V 0 。
According to a second aspect of the present invention, a high-efficiency damage modeling system based on a small number of disclosed parameters, applied in a policy simulation environment, is implemented by an electronic device with computing power, and includes the following modules:
the public parameter reading module is used for acquiring the identification of the light weapon to be simulated in real time and reading a prestored parameter value of public parameters which can be publicly acquired and are closely related to the performance of the light weapon to be simulated; the light weapon identification to be simulated is stored correspondingly to the parameter value of the public parameter;
the undisclosed parameter determining module is used for determining parameter values of undisclosed parameters which cannot be publicly acquired and are closely related to the performance of the light weapon to be simulated in real time through the parameter model;
the judging module is used for judging whether the target to be destroyed has at least one device for resisting injury; if the judging result is no, transferring the damage capability determining module; if the judgment result is yes, the maximum penetration kinetic energy obtaining module is converted;
the maximum penetration kinetic energy acquisition module is used for acquiring the sum of the maximum penetration kinetic energy of all the equipment for resisting the damage of the target to be destroyed when the target to be destroyed has at least one equipment for resisting the damage;
the damage capability determining module is used for inputting the parameter values of the public parameters and the parameter values of the unpublished parameters into a damage model of the light weapon to be simulated when the target to be damaged does not have equipment for resisting damage, so as to determine that the light weapon to be simulated has damage capability on the target to be damaged; when the target to be destroyed has at least one device for resisting injury, the sum of the parameter value of the public parameter and the parameter value of the unpublished parameter and the maximum penetration kinetic energy is input into a destruction model of the light weapon to be simulated, and the electronic equipment with calculation capability simulates the destruction capability of the light weapon to be simulated to the specific object through the destruction model of the light weapon to be simulated.
Further, the undisclosed parameter determination module determines parameter values of undisclosed parameters by means of the following sub-modules:
an initial value setting sub-module for setting an initial value k of the object motion resistance coefficient k 0 ；
The sub-module for acquiring public parameters is used for reading parameter values of public parameters closely related to the performance of the light weapon to be simulated, wherein the public parameters comprise bullet mass m and bullet flight speed v in an initial state 0 ；
The total flight time reading sub-module is used for reading the total flight time T of the bullet;
the object motion resistance coefficient determination submodule is used for calculating an object motion resistance coefficient according to the following formula;
where k is the object motion resistance coefficient, f (k) is a function of the solution k, f' (k) is the derivative of f (k), m is the mass of the bullet, T is the total motion time of the object, S is the distance the object moves from the beginning to the moment T, v 0 Is the bullet flying speed k in the initial state j+1 The motion resistance coefficient, k, of the object is obtained for the j+1th iteration step j Obtaining an object motion resistance coefficient for the jth iteration step;
an approximate solution determining module for determining the coefficient of resistance to motion of the object k by repeating the total flight time reading module and the object motion resistance coefficient determining module when k j+1 And k j When the absolute value of the error is smaller than a predetermined threshold value, an approximate solution of the object motion resistance coefficient k is obtained.
Further, the damage model of the light weapon to be simulated in the damage capability determination module is as follows:
where alive (m, v) represents whether the target survives injury, m is the mass of the bullet, k is the approximate solution of the object motion resistance coefficient k, C is the air resistance coefficient, D i Is the maximum penetration kinetic energy of the ith injury-resistant equipment of the target to be destroyed, and t is the bullet flight time.
Further, C is the bullet flight speed V in the initial state 0 Inverse of (2), namely: c=1/V 0 。
According to a third aspect of the present invention, an electronic device comprises a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method for efficient damage modeling based on a small number of disclosed parameters when executing the computer program.
According to a fourth aspect of the present invention, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a method for efficient damage modeling based on a small number of disclosed parameters.
The invention provides different processing means by classifying the parameters which can be obtained in a disclosing way and are closely related to the performance of the light weapon and the parameters which are difficult to obtain in a disclosing way, the parameters which are difficult to obtain in a disclosing way and are closely related to the performance of the light weapon can be processed in real time, and the provided damage model can simulate the damage efficiency of bullets to targets under real combat efficiently, quickly and accurately.
Other features of the present invention and its advantages will become apparent from the following detailed description of exemplary embodiments of the invention, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention.
In the drawings:
FIG. 1 is a schematic diagram of an electronic device with computing capabilities according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for efficient damage modeling based on a small number of disclosed parameters, in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart of a method for determining parameter values of undisclosed parameters according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the result of solving for the object motion resistance coefficient k according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a high-efficiency damage modeling system based on a small number of disclosed parameters in accordance with an embodiment of the present invention;
fig. 6 is a schematic diagram of a parameter value determining apparatus for undisclosed parameters according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
The task planning system, the multi-agent cooperative control system, the chess deduction system and the like based on the strategy simulation environment are realized in the electronic equipment with computing capability, as shown in fig. 1, the electronic equipment with computing capability comprises: processor, memory, communication interface, display screen and input device connected through system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the electronic device is used for conducting wired or wireless communication with an external terminal, and the wireless communication can be achieved through WIFI, an operator network, near Field Communication (NFC) or other technologies. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the electronic equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
Fig. 2 shows a highly efficient damage modeling method based on a small number of disclosed parameters, which is implemented using an electronic device with computing capabilities as shown in fig. 1. In the present invention, the performance parameters of the firearm to be simulated include two types, one being overt parameters that can be overtly acquired that are closely related to the performance of the firearm to be simulated and the other being overt parameters that cannot be acquired that are closely related to the performance of the firearm to be simulated. As shown in fig. 2, the method specifically includes the following steps:
s1, acquiring a light weapon identifier to be simulated in real time, and reading a prestored parameter value which can be publicly acquired and is closely related to the performance of the light weapon to be simulated; the light weapon identification to be simulated is stored correspondingly to the parameter value of the public parameter;
s2, determining parameter values of unpublished parameters which cannot be publicly acquired and are closely related to the performance of the light weapon to be simulated in real time through a parameter model;
s3, judging whether the target to be destroyed has at least one device for resisting injury; if the judgment result is no, turning to the step S5; if the judgment result is yes, turning to the step S4;
s4, if the target to be destroyed has at least one device for resisting damage, acquiring the sum of the maximum penetration kinetic energy of all devices for resisting damage of the target to be destroyed;
s5, when the target to be destroyed does not have equipment for resisting injury, inputting the parameter values of the public parameters and the parameter values of the unpublished parameters into a destruction model of the light weapon to be simulated, and determining that the light weapon to be simulated has the destruction capability of the target to be destroyed; when the target to be destroyed has at least one device for resisting injury, inputting the sum of the parameter value of the public parameter, the parameter value of the unpublished parameter and the maximum penetration kinetic energy into a destruction model of the light weapon to be simulated, and simulating the destruction capability of the light weapon to be simulated to the target to be destroyed through the destruction model of the light weapon to be simulated.
The construction of a damage model of the firearm to be simulated is described in detail below.
The bullet can die or not, and three criteria are considered for the bullet, namely the bullet head density of the bullet, the impact velocity of the bullet and the quality of the bullet. The three criteria are not indispensable, and it is the cavity effect caused by the combination of the three criteria that is one of the principles of death of the bullet.
Because the shooting speed of the bullet is very high, the impact force is also very high, and a cavity larger than the volume of the bullet is often formed due to the shearing action of shock waves and self kinetic energy after the bullet enters a human body. Since the muscles of the human body are elastic, the muscles contract and recover after the bullet passes, the cavity formed by the bullet passing through the instant is called an instant cavity, and the wound cavity formed by the bullet penetrating the human body is called a permanent cavity. Generally, the larger the instantaneous cavity, the greater the stopping force, and the larger the permanent cavity, the greater the human injury caused.
The lethal range refers to the distance that the warhead can kill the target, and is also known as the "kill range". Double quotes are used because military terminology does not discuss "lethal range", is simple, and a non-hit warhead is not significant at all. According to the U.S. and German army "78J" lethal kinetic energy "standard, as long as the warhead has 78J kinetic energy, it is judged that the bullet can be fatal, while the U.S. and China lethal kinetic energy standard is 98J.
It follows that the real killing efficacy of a firearm round can be directly related to kinetic energy. First, according to the kinetic energy theorem, the true kinetic energy of the bullet is
Where E is kinetic energy, m is mass of the bullet, and v is velocity of the bullet hitting the target.
In order to reduce the calculation amount in simulation, it is assumed that the kinetic energy expended when the bullet passes through the target is the maximum penetration kinetic energy carried by the target, so that the following damage formula can be obtained
Where m is the mass of the bullet and V is the impact of the bullet on the targetSpeed, D i Is the maximum penetration kinetic energy of the ith injury-resistant equipment (considering here that a single target possesses injury-resistant equipment such as body armor, etc.), n is the total number of injury-resistant equipment of the target to be destroyed, n is 1 or more, and alive (m, v) represents whether the target survives after undergoing injury.
In the above formula, we only use the mass of the bullet and the speed of hit target, although the mass of the bullet can be obtained by most of public information, the speed of hit target is hard to calculate, because the bullet moves with variable acceleration in the flight process, and the flight process is mainly influenced by air resistance and is greatly affected. Therefore, we cannot simply consider the movement of the bullet in the air as uniform movement, and we need to calculate the true velocity at the time of hit. Therefore, the following air resistance formula is required
Wherein C is the air resistance coefficient, which is related to the shape of the object, ρ is the air density, S E Is the cross-sectional area of the object in contact with the air and V is the speed of the object. It can be seen that the air resistance coefficient C, the cross-sectional area S of the object contacting the air E It is difficult to obtain from the disclosure that the velocity V of the object is changing from time to time.
Specific parameters (C, S) are difficult to obtain due to the disclosure E ) Therefore, it is difficult to obtain the accurate air resistance value by algebraic method. In fact, our goal is to find the air resistance, rather than requiring each term of its formula composition. Thus we let
We then transform the air resistance formula as follows
We call the parameter k the coefficient of resistance to motion of the object (since this coefficient contains parameters related to the object).
Next, the velocity V at the time of flight t is obtained from the newton's first law.
Where a is the motion acceleration, F is the air resistance, and t is the motion time. The two sides can obtain the uncertainty integral
Where C is a constant term of the indefinite integral. We then get a velocity function V (t) with respect to time t, with two unknown parameters k and C. The final damage model is as follows
According to the above-mentioned damage model we leave two unknown parameters with solutions, one is the indefinite integral constant term C, and the other is the object motion resistance coefficient k, first we estimate the indefinite integral constant term C. Consider the initialBullet flying speed V in state 0 The method comprises the following steps: the initial velocity of the bullet exiting the chamber (this velocity is used because most firearm shooting initial velocities are disclosed in greater detail). We then bring the initial state t=0 into the velocity function V (t) to get an analytical solution for the parameter C:
thus, in the above-described damage model, the mass m of the bullet, the constant term C, the maximum penetration kinetic energy D of the ith object i All can be obtained in advance through public information, and belong to public parameters closely related to the performance of the light weapon to be simulated. An unpublished parameter closely related to the performance of the firearm to be simulated is the object motion resistance coefficient k, which can be determined by the following parametric model:
continuing to use newton's law yields the following formula:
wherein T is the total movement time of the object, and S is the distance from the initial time to the moment T of the object. From observation, the formula is a nonlinear function of the unknown k, and thus there is no analytical solution.
Consider the scenario in which it is desirable to solve for the kinetic energy at the moment of hit of a bullet in a simulated environment using the object motion resistance coefficient k. Since the object motion resistance coefficient k is related to the object itself, we do not need to resolve the solution, but only need to find the numerical solution of the object motion resistance coefficient k for each object (or bullet). We then find an approximate solution for the object motion resistance coefficient k using newton's iteration.
Let f (k) be a function of solving k
Its derivative is
Then, an approximate solution to the motion resistance coefficient k of the object can be obtained according to Newton iteration method
Wherein k is j+1 The motion resistance coefficient, k, of the object is obtained for the j+1th iteration step j Obtaining an object motion resistance coefficient for the jth iteration step;
thus, a parametric model of the unpublished parameters is built.
The determination of the parameter values of the parameter model of the undisclosed parameter may be implemented by an electronic device with computing capabilities as shown in fig. 1, and as shown in fig. 3, the method for determining the parameter values of the undisclosed parameter may comprise the steps of:
s21, setting an initial value k of an object motion resistance coefficient k 0 ；
S22, reading parameter values of public parameters closely related to the performance of the light weapon to be simulated, wherein the public parameters comprise bullet mass m and bullet flight speed V in an initial state 0 ；
S23, reading the total flight time T of the current bullet;
s24, calculating an object motion resistance coefficient according to the following formula;
s25, repeating the step S23 and the step S24, and when k is the same j+1 And k j When the absolute value of the error is smaller than a predetermined threshold value, an approximate solution of the object motion resistance coefficient k is obtained.
The above-described parameter solving method may be implemented in an electronic device having computing power with the following pseudo code:
the present invention verifies the feasibility of the above parametric model with firearm AK-47. The open data shows that the light weapon AK-47 assault rifle has caliber of 7.62x39mm, the M43 common bullet is launched, the bullet head weighs 8.0 g, the initial speed is 710M/s, the maximum range is 2197M, and the flight time is 11.942 seconds. The model parameters can then be set to V 0 =710，m=7.97 · 10 -3 T=11.942, s=2197, and initial object motion resistance coefficient k 0 =10 -5 The results as in table 1 were obtained by 7 iterations:
TABLE 1 results of parametric model calendar solutions
It can be seen that the iteration has converged exactly to the optimal solution by the 6 th time. The calculated object motion resistance coefficient k is put into the formula and the image is plotted as shown in fig. 4. Wherein the horizontal axis represents time and the vertical axis represents the speed corresponding to the time.
The experiment proves that the simulation model can efficiently, quickly and accurately simulate the damage efficiency of the bullet to the target under the condition of a small amount of public parameters.
Referring to fig. 5, the present invention also discloses a high-efficiency damage modeling system based on a small number of disclosed parameters, the system being implemented by an electronic device having computing capabilities, the system comprising:
the public parameter reading module is used for acquiring the identification of the light weapon to be simulated in real time and reading a prestored parameter value of public parameters which can be publicly acquired and are closely related to the performance of the light weapon to be simulated; the light weapon identification to be simulated is stored correspondingly to the parameter value of the public parameter;
the undisclosed parameter determining module is used for determining parameter values of undisclosed parameters which cannot be publicly acquired and are closely related to the performance of the light weapon to be simulated in real time through the parameter model;
the judging module is used for judging whether the target to be destroyed has at least one device for resisting injury; if the judging result is no, transferring the damage capability determining module; if the judgment result is yes, the maximum penetration kinetic energy obtaining module is converted;
the maximum penetration kinetic energy acquisition module is used for acquiring the sum of the maximum penetration kinetic energy of all the equipment for resisting the damage of the target to be destroyed when the target to be destroyed has at least one equipment for resisting the damage;
the damage capability determining module is used for inputting the parameter values of the public parameters and the parameter values of the unpublished parameters into a damage model of the light weapon to be simulated when the target to be damaged does not have equipment for resisting damage, so as to determine that the light weapon to be simulated has damage capability on the target to be damaged; when the target to be destroyed has at least one device for resisting injury, the sum of the parameter value of the public parameter and the parameter value of the unpublished parameter and the maximum penetration kinetic energy is input into a destruction model of the light weapon to be simulated, and the electronic equipment with calculation capability simulates the destruction capability of the light weapon to be simulated to the specific object through the destruction model of the light weapon to be simulated.
Fig. 6 shows a parameter value determination module for an unpublished parameter. As shown in fig. 6, the parameter value of the unpublished parameter may be determined by a parameter value determination module of the unpublished parameter, which includes the following sub-modules:
an initial value setting sub-module for setting an initial value k of the object motion resistance coefficient k 0 ；
The sub-module for acquiring public parameters is used for reading parameter values of public parameters closely related to the performance of the light weapon to be simulated, wherein the public parameters comprise bullet mass m and bullet flight speed V in an initial state 0 ；
The total flight time reading sub-module is used for reading the total flight time T of the bullet;
an object motion resistance coefficient determination submodule for calculating an object motion resistance coefficient from the following formula
An approximate solution determination submodule of the object motion resistance coefficient k for reading the module and the object motion resistance coefficient determination module through the repetition of the total flight time, when k j+1 And k j When the absolute value of the error is smaller than a predetermined threshold value, an approximate solution of the object motion resistance coefficient k is obtained.
Those skilled in the art will appreciate that the electronic device having computing capabilities may be a server, a personal computer, a mobile phone, etc., and that the structure shown in fig. 1 is merely a block diagram of portions related to the technical solution of the present disclosure, and does not constitute a limitation of the electronic device to which the technical solution of the present disclosure is applied, and that a specific electronic device may include more or less components than those shown in the drawings, or may combine certain components, or have different arrangements of components. The memory of the electronic device with computing capabilities stores a computer program which, when executed by a processor of the electronic device with computing capabilities, enables the implementation of the steps of the above-described method of the invention.
The invention also discloses a computer readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method of the invention.
The above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art: modifications may be made to the specific embodiments of the present invention or equivalents may be substituted for part of the technical features thereof; without departing from the spirit of the invention, it is intended to cover the scope of the invention as claimed.
Claims (10)
1. The high-efficiency damage modeling method based on a small amount of public parameters is applied to a strategy simulation environment and is realized by using electronic equipment with computing capability, and is characterized by comprising the following steps of:
s1, acquiring a light weapon identifier to be simulated in real time, and reading a prestored parameter value which can be publicly acquired and is closely related to the performance of the light weapon to be simulated; the light weapon identification to be simulated is stored correspondingly to the parameter value of the public parameter;
s2, determining parameter values of unpublished parameters which cannot be publicly acquired and are closely related to the performance of the light weapon to be simulated in real time through a parameter model;
s3, judging whether the target to be destroyed has at least one device for resisting injury; if the judgment result is no, turning to the step S5; if the judgment result is yes, turning to the step S4;
s4, if the target to be destroyed has at least one device for resisting damage, acquiring the sum of the maximum penetration kinetic energy of all devices for resisting damage of the target to be destroyed;
s5, when the target to be destroyed does not have equipment for resisting injury, inputting the parameter values of the public parameters and the parameter values of the unpublished parameters into a destruction model of the light weapon to be simulated, and determining that the light weapon to be simulated has the destruction capability of the target to be destroyed; when the target to be destroyed has at least one device for resisting injury, inputting the sum of the parameter value of the public parameter, the parameter value of the unpublished parameter and the maximum penetration kinetic energy into a destruction model of the light weapon to be simulated, and simulating the destruction capability of the light weapon to be simulated to the target to be destroyed through the destruction model of the light weapon to be simulated.
2. The efficient damage modeling method of claim 1, further comprising: in step S2, the parameter values of the unpublished parameters may be determined by:
s21, setting an initial value k of an object motion resistance coefficient 0 ；
S22, reading the public parameters closely related to the performance of the light weapon to be simulated, wherein the public parameters comprise the bullet mass m and the bullet flight speed V in an initial state 0 ；
S23, reading the total flight time T of the current bullet;
s24, calculating an object motion resistance coefficient according to the following formula;
，
，
，
where k is the object motion resistance coefficient, f (k) is a function of the solution k, f' (k) is the derivative of f (k), m is the mass of the bullet, T is the total motion time of the object, S is the distance the object moves from the beginning to the moment T, v 0 For initial purposesBullet flying speed under condition, k j+1 For the j+1th iteration step, the object motion resistance coefficient, k j Obtaining an object motion resistance coefficient for the j iteration step;
s25, repeating the step S23 and the step S24, and when k is the same j+1 And k j When the absolute value of the error is smaller than a predetermined threshold value, an approximate solution of the object motion resistance coefficient k is obtained.
3. The efficient damage modeling method of claim 2, further comprising: in step S4, the damage model of the firearm to be simulated is:
，
where alive (m, v) represents whether the target survives injury, m is the mass of the bullet, v is the speed at which the bullet hits the target, k is the approximate solution of the object motion resistance coefficient, C is the air resistance coefficient, D i Is the maximum penetration kinetic energy of the ith injury-resisting equipment of the target to be destroyed, n is the total number of the injury-resisting equipment of the target to be destroyed, n is more than or equal to 1, and t is the bullet flight time.
4. The efficient damage modeling method of claim 3, further comprising: c is the bullet flying speed V in the initial state 0 Inverse of (2), namely: c=1/V 0 。
5. The high-efficiency damage modeling system based on a small amount of public parameters is applied to a strategy simulation environment and is realized by using electronic equipment with computing capability, and is characterized by comprising the following modules:
the public parameter reading module is used for acquiring the identification of the light weapon to be simulated in real time and reading a prestored parameter value of public parameters which can be publicly acquired and are closely related to the performance of the light weapon to be simulated; the light weapon identification to be simulated is stored correspondingly to the parameter value of the public parameter;
the undisclosed parameter determining module is used for determining parameter values of undisclosed parameters which cannot be publicly acquired and are closely related to the performance of the light weapon to be simulated in real time through the parameter model;
the judging module is used for judging whether the target to be destroyed has at least one device for resisting injury; if the judging result is no, transferring the damage capability determining module; if the judgment result is yes, the maximum penetration kinetic energy obtaining module is converted;
the maximum penetration kinetic energy acquisition module is used for acquiring the sum of the maximum penetration kinetic energy of all the equipment for resisting the damage of the target to be destroyed when the target to be destroyed has at least one equipment for resisting the damage;
the damage capability determining module is used for inputting the parameter values of the public parameters and the parameter values of the unpublished parameters into a damage model of the light weapon to be simulated when the target to be damaged does not have equipment for resisting damage, so as to determine that the light weapon to be simulated has damage capability on the target to be damaged; when the target to be destroyed has at least one device for resisting injury, the sum of the parameter value of the public parameter and the parameter value of the unpublished parameter and the maximum penetration kinetic energy is input into a destruction model of the light weapon to be simulated, and the electronic equipment with calculation capability simulates the destruction capability of the light weapon to be simulated to the specific object through the destruction model of the light weapon to be simulated.
6. The efficient damage modeling system of claim 5, wherein the undisclosed parameter determination module determines the parameter values of the undisclosed parameters by:
an initial value setting sub-module for setting an initial value k of the object motion resistance coefficient k 0 ；
The sub-module for acquiring public parameters is used for reading parameter values of public parameters closely related to the performance of the light weapon to be simulated, wherein the public parameters comprise bullet mass m and bullet flight speed v in an initial state 0 ；
The total flight time reading sub-module is used for reading the total flight time T of the bullet;
the object motion resistance coefficient determination submodule is used for calculating an object motion resistance coefficient according to the following formula:
，
，
，
where k is the object motion resistance coefficient, f (k) is a function of the solution k, f' (k) is the derivative of f (k), m is the mass of the bullet, T is the total motion time of the object, S is the distance the object moves from the beginning to the moment T, v 0 Is the bullet flying speed k in the initial state j+1 The object motion resistance coefficient, k, obtained for the j+1th iteration j The object motion resistance coefficient obtained for the jth iteration;
an approximate solution determination sub-module for the object motion resistance coefficient k for determining the sub-module by repeatedly executing the total time of flight reading sub-module and the object motion resistance coefficient, when k j+1 And k j When the absolute value of the error is smaller than a preset threshold value, an approximate solution of the object motion resistance coefficient k is obtained.
7. The efficient damage modeling system of claim 6, wherein the damage model of the firearm to be simulated in the damage capability determination module is:
,
where alive (m, v) represents whether the target survives injury, m is the mass of the bullet, v is the speed at which the bullet hits the target, k is the approximate solution of the object motion resistance coefficient, C is the air resistance coefficient, D i The maximum penetration kinetic energy of the i-th injury-resisting equipment of the target to be destroyed, and n is the target to be destroyedThe total number of the target equipment for resisting damage, n is greater than or equal to 1, and t is bullet flight time.
8. The high-efficiency damage modeling system of claim 7, further comprising: c is the bullet flying speed V in the initial state 0 Inverse of (2), namely: c=1/V 0 。
9. An electronic device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps in the efficient damage modeling method of any of claims 1-4 when the computer program is executed.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the efficient damage modeling method of any of claims 1-4.
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