CN115879327A - Damage efficiency evaluation method, device, equipment and medium based on digital twin - Google Patents
Damage efficiency evaluation method, device, equipment and medium based on digital twin Download PDFInfo
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Abstract
The application discloses a damage efficiency evaluation method, a damage efficiency evaluation device, damage efficiency evaluation equipment and a damage efficiency evaluation medium based on digital twins, which relate to the field of virtual training and weapon efficiency verification and comprise the following steps: constructing damage performance data of the weapon to be evaluated by using a digital twin technology, and creating a data driving model under multi-source isomerism based on the damage performance data to obtain a virtual weapon model corresponding to the weapon to be evaluated; determining a weight value of the virtual weapon model at a preset moment according to the time slice sequence and an evaluation rule in the damage evaluation criterion database; superposing the weight value and the condition data into damage efficiency data of the virtual weapon model based on superposition rules to obtain a target virtual weapon model; and calculating damage performance data of the target virtual weapon model in a preset time period to obtain the damage performance data of each time slice of the target virtual weapon model. The method and the device utilize a digital twinning technology and a time slicing technology to perform data processing and damage efficiency evaluation, and can obtain an accurate damage efficiency evaluation result.
Description
Technical Field
The invention relates to the field of virtual training and weapon efficiency verification, in particular to a damage efficiency evaluation method, a damage efficiency evaluation device, damage efficiency evaluation equipment and a storage medium based on digital twins.
Background
At present, most weapon damage efficiency assessment in the field of virtual simulation is carried out by setting a damage value in advance, the problems of rigid damage assessment and unreal damage effect exist, meanwhile, weapon damage efficiency at a certain moment cannot be assessed immediately, the result damage effect can only be judged, calculation and process resolving assessment under multi-dimensional space-time are lacked, and the problems of single interpretation dimension, narrow variability, fuzzy quantification, inaccurate damage efficiency assessment and the like exist.
Disclosure of Invention
In view of this, the present invention provides a damage performance evaluation method, apparatus, device and medium based on digital twins, which are suitable for dynamic evaluation of damage performance of weaponry, and can meet the requirements of law parameter editing deduction evaluation in a time slicing state and weapon performance damage effect evaluation in multiple space-time dimensions. The specific scheme is as follows:
in a first aspect, the present application discloses a damage performance evaluation method based on digital twins, which includes:
constructing damage performance data of a weapon to be evaluated by using a digital twin technology, and creating a data driving model under multi-source isomerism based on the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated;
determining a weight value of the virtual weapon model at a preset moment according to a time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database;
superposing the weighted value and preset condition data to damage efficiency data of the virtual weapon model within a preset time period based on a preset superposition rule to obtain a target virtual weapon model;
and calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model.
Optionally, the determining, according to the time slice sequence and an evaluation rule in a pre-established damage evaluation criterion database, a weight value of the virtual weapon model at a preset time includes:
and matching the damage performance data with the virtual weapon model according to the time slice sequence to obtain a matched virtual weapon model, and determining a weight value of the matched virtual weapon model at a preset moment based on an evaluation rule in the damage evaluation criterion database.
Optionally, the superimposing, based on a preset superimposing rule, the weighted value and preset condition data to the damage performance data of the virtual weapon model within the preset time period to obtain a target virtual weapon model, including:
establishing a mapping relation between the time slice and the evaluation rule, and adding the weight value to the damage performance data of the virtual weapon model in the preset time period according to the mapping relation to obtain a modified virtual weapon model;
performing data superposition on the corrected virtual weapon model based on preset condition data to obtain the target virtual weapon model; the condition data comprises preset simulated physical environment, temperature and humidity, wind power and meteorological data.
Optionally, the calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model includes:
calculating the damage efficiency of the target virtual weapon model based on an ammunition damage model, collision detection analysis and a damage grade analysis model to obtain a damage result of the target virtual weapon model;
confirming the damage result based on a judgment rule to obtain a target confirmation result, and calculating the damage performance data of the target virtual weapon model in the preset time period based on data corresponding to the target confirmation result to obtain the damage performance data of each time slice of the target virtual weapon model; the target confirmation result is characterized in that the target virtual weapon model hits a target object.
Optionally, the determining the damage result based on the evaluation rule to obtain a target determination result includes:
confirming the damage result according to data when ammunition hits the target object to obtain a target confirmation result; the data comprises a hit angle, a hit position and ammunition damage data suffered by the target object.
Optionally, the calculating the damage performance data of the target virtual weapon model in the preset time period based on the data corresponding to the target confirmation result to obtain the damage performance data of each time slice of the target virtual weapon model includes:
respectively determining characteristic parameters of the target object before and after the target object is hit based on the data corresponding to the target confirmation result, determining action data of a damage element on the target object based on the characteristic parameters, and calculating damage probability of the target object by using the action data;
and calculating damage performance data of all the target virtual weapon models in the preset time period based on the damage probability of the target object, and determining the damage performance data of each time slice of the target virtual weapon models based on the damage performance data of all the target virtual weapon models.
Optionally, after the calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model, the method further includes:
and calculating the damage performance data of the target virtual weapon model for a plurality of times to obtain a damage performance database, and determining the comprehensive damage performance data of each time slice of the target virtual weapon model in the preset time period based on the saturated gunfire coverage striking factors and the damage performance database so as to realize the comprehensive evaluation of the damage capacity of the weapon to be evaluated.
In a second aspect, the present application discloses a damage performance evaluation device based on digital twinning, comprising:
the model acquisition module is used for constructing damage performance data of a weapon to be evaluated by using a digital twin technology, and creating a data driving model under multi-source isomerism based on the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated;
the weight value determining module is used for determining the weight value of the virtual weapon model at the preset moment according to the time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database;
the model determining module is used for superposing the weight value and preset condition data to damage efficiency data of the virtual weapon model in a preset time period based on a preset superposition rule so as to obtain a target virtual weapon model;
and the data determining module is used for calculating the damage performance data of the target virtual weapon model in the preset time period so as to obtain the damage performance data of each time slice of the target virtual weapon model.
In a third aspect, the present application discloses an electronic device, comprising:
a memory for storing a computer program;
a processor, configured to execute the computer program to implement the steps of the method for evaluating damage performance based on digital twins.
In a fourth aspect, the present application discloses a computer readable storage medium for storing a computer program, which when executed by a processor implements the steps of the aforementioned method for evaluating damage performance based on digital twins.
When virtual damage performance evaluation is carried out, firstly, a digital twinning technology is utilized to construct damage performance data of a weapon to be evaluated, and a data driving model under multi-source isomerism is created based on the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated; determining a weight value of the virtual weapon model at a preset moment according to a time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database; superposing the weight value and preset condition data to damage efficiency data of the virtual weapon model in a preset time period based on a preset superposition rule to obtain a target virtual weapon model; and calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model. According to the method, the time slice splitting is carried out on the weapon launching and striking process based on the real data of weapon damage, quantitative statistics of damage performance indexes of the weapon striking link can be achieved, comprehensive damage performance coefficient at the preset moment is comprehensively evaluated through analyzing the dimension of the time slice, comprehensive damage performance evaluation of the weapon is achieved, and the method has important significance for achieving parameterized weapon modeling and weapon operation performance analysis under the time process. Meanwhile, compared with the traditional weapon efficiency evaluation strategy, the method disclosed by the invention considers the influence of the external environment on the damage efficiency of the weapon equipment, and also discloses a damage efficiency evaluation method more fitting the reality by combining with multi-dimensional information such as the striking angle, the striking position and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a digital twin-based damage performance assessment method disclosed herein;
FIG. 2 is a flow chart of a collision detection analysis disclosed herein;
FIG. 3 is a flow chart of the basic steps of a collision detection analysis disclosed herein;
FIG. 4 is a basic flow diagram of a collision object prescreening disclosed herein;
FIG. 5 is a schematic view of a collision zone area division disclosed herein;
FIG. 6 is a schematic view of a collision detection coordinate system definition disclosed herein;
FIG. 7 is a flow chart of a specific digital twin-based damage performance assessment method disclosed herein;
FIG. 8 is a schematic structural diagram of a damage performance evaluation apparatus based on digital twinning according to the present disclosure;
fig. 9 is a block diagram of an electronic device disclosed in the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, most weapon damage efficiency assessment in the field of virtual simulation is carried out by setting a damage value in advance, the problems of rigid damage assessment and unreal damage effect exist, meanwhile, weapon damage efficiency at a certain moment cannot be assessed immediately, the result damage effect can only be judged, calculation and process resolving assessment under multi-dimensional space-time are lacked, and the problems of single interpretation dimension, narrow variability, fuzzy quantification, inaccurate damage efficiency assessment and the like exist. Aiming at the problem, the invention proposes a dynamic evaluation method suitable for the damage effect of the weaponry, and meets the requirements of law parameter editing deduction evaluation in a time slice state and weapon efficiency damage effect evaluation in multiple space-time dimensions.
Referring to fig. 1, an embodiment of the present invention discloses a damage performance evaluation method based on digital twins, including:
s11, constructing damage performance data of the weapon to be evaluated by using a digital twin technology, and creating a data driving model under multi-source isomerism based on the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated.
In the embodiment, the digital twin technology is used for creating a virtual model of a physical entity in a high-fidelity simulation modeling mode, building a super data driving model by means of multi-source heterogeneous data integration, and performing simulation analysis and optimization on entity behaviors so as to obtain high-confidence simulation prediction. In other words, the damage performance data of the weapon to be evaluated is constructed by using a digital twinning technology, and the damage performance data is input to construct a data driving model under multi-source isomerism. And the obtained data driving model and weapon entity data and structure under the multi-source isomerism are completely the same, namely the virtual weapon model corresponding to the weapon to be evaluated is obtained. Therefore, the damage performance data of the physical weapon at the moment T + n can be disassembled according to the time axis in the specified time period.
And S12, determining the weight value of the virtual weapon model at the preset moment according to the time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database.
In this embodiment, the time slicing technique is a technique for displaying a data profile at a certain time T in a data volume of a virtual simulation deduction result, and is used to deduce a performance data slice of the damage performance at the time T + n in real time. And by time slice division of a standard operation link of weapon damage striking, quantitative data are provided for evaluation of a weak link of damage evaluation reliability. To obtain the weight value of the virtual weapon model at the preset time, the damage performance data and the virtual weapon model need to be paired according to the time slice sequence to obtain a paired virtual weapon model, and a weight value v of the paired virtual weapon model at the preset time is determined based on an evaluation rule in the damage evaluation criterion database, and the weight value v is calculated as follows.
Wherein, P is the damage probability of the weapon, a is the firing speed of the weapon, b is the initial speed of the weapon, R is the caliber, M is the weight of the weapon, and q is the aiming correction coefficient.
Firstly, a basic damage evaluation criterion database is established, associated force entities (weapons) for judging damage efficiency are paired according to a time slice sequence, the damage efficiency of the weapons is arranged and analyzed according to a time axis, an initial moment is intercepted as a time T, and a weight value of the force at the current moment is generated according to the evaluation criterion in the damage evaluation criterion database. It should be noted that, different weapons have different evaluation criteria, and the corresponding evaluation criteria can be selected to obtain results more accurately.
And S13, superposing the weight value and preset condition data to damage efficiency data of the virtual weapon model in a preset time period based on a preset superposition rule to obtain a target virtual weapon model.
In this embodiment, based on a preset stacking rule, the weight value and preset condition data are stacked into the damage performance data of the virtual weapon model in a preset time period, a mapping relationship between a time slice and the evaluation rule needs to be established first, and the weight value is stacked into the damage performance data of the virtual weapon model in the preset time period according to the mapping relationship, so as to obtain a modified virtual weapon model; then, carrying out data superposition on the corrected virtual weapon model based on preset condition data to obtain the target virtual weapon model; the condition data comprises preset simulated physical environment, temperature and humidity, wind power and meteorological data. Namely, data superposition is carried out on the physical object of the military strength, namely the virtual weapon model, according to the set data of the simulated physical environment, the temperature and the humidity, the wind power, the weather and the like. It can be understood that the preset data of the simulated physical environment, the temperature and humidity, the wind power, the weather and the like are superposed, so that the influence of the external environment on the destruction efficiency of the weaponry is considered.
Step S14, calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model.
In this embodiment, calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model includes: calculating the damage efficiency of the virtual weapon model based on an ammunition damage model, collision detection analysis and a damage grade analysis model to obtain a damage result of the target virtual weapon model; as shown in fig. 2, when performing collision detection analysis, first, entity object association for collision detection analysis is performed based on a simulation task sequence; then, based on the state data of the associated object, data preparation of collision detection analysis is carried out; then, calculating collision parameters based on a collision detection algorithm; on the basis, based on a collision detection judgment rule, making a collision condition judgment, including a collision part and a region range; and finally, displaying and outputting a collision detection analysis result in a two-dimensional graph and table form. For the basic steps of the collision detection analysis, as shown in fig. 3, step 1: by carrying out gridding processing on the battlefield space, the possibility of collision of the entity object is preliminarily filtered by using grids, thereby being beneficial to improving the collision detection efficiency. That is, the collision object is primarily screened, as shown in fig. 4, wherein the mesh should be able to cover the collision detection object, the side length of the mesh can be calculated based on the killer radius and the killer object size, and the calculation formula is:
in the formula, R is the killing radius, L is the length of the damaged object, and a is an adjusting coefficient which can be 5.
Step 2: and further performing intersection judgment on the filtered collision objects, excluding the reverse maneuvering solid objects, performing sampling compensation on the high-speed target by using a DR algorithm, and calculating the position and the angle of the collision. Namely, collision intersection judgment is performed, and the plane is divided into 8 regions by 360 degrees, so as to define the collision region range, as shown in fig. 5. If the collision detection analysis is performed on the collision subject a and the collision object B, if the collision part is in a yellow area in the figure, it is considered that a collision occurs, otherwise it is considered that no collision occurs. And when collision occurs, judging the range of the area according to the angle of the position of the collision part. Based on the range-to-range relationship of the weapon and the range-to-range relationship of the equipment components, a determination is made as to which range-to-range aspect affects the equipment component at that aspect. Definition ofThe x/y/z axes of the earth axis are east, north and sky, respectively, and the x/y/z axes of the physical system axis are front, right and down, respectively, as shown in fig. 6. Defining the attitude angle of the axis system on the ground axis as: yaw (right yaw is positive), pitch (head up is positive), roll (right roll is positive). The original coordinate system of the position of the weapon is a geodetic coordinate system
However, the coordinates of each equipment component are defined under a body axis system, and it is assumed that the coordinates of a certain equipment component are ^ er and ^ er>
Therefore, the weapon position needs to be converted to the body axis system to enter the unified calculation. The method for converting the geodetic coordinate system to the ground axis system follows a general geospatial coordinate conversion formula and is not described in detail herein. Coordinate of ground axis system provided with weapon is ^ H>
Then, the transformation matrix formula for transforming the ground axis system to the body axis system is: />
Thus, the azimuth angle (the angle with the x-axis) and elevation angle (the angle with the XY plane) at the body axis are:
setting the polar coordinates of the weapon in the body axis system as
If the angle coordinate of the equipment in the body shafting is, whether the weapon envelope is intersected with the equipment components or not can be determined only by distance envelope judgment and angle relation judgment, and the judgment formula is
In the formula: dR represents the distance threshold of intersection of the two;
an azimuth threshold representing the intersection of the two;
Indicating that the two cross the elevation threshold. For high speed applications, assuming that the actual motion position is P1, the motion position simulated by the DR algorithm is->
DR provides several classical algorithms: 1. position 1= position 0, i.e. remains unchanged; 2. position 1= position 0+ speed x (T1-T0), which is equivalent to uniform motion; 3. position 1= position 0+ velocity × (T1-T0) + 1/2 × acceleration × (T1-T0) squared. One of the algorithms is optionally selected for position compensation calculations.
And step 3: and analyzing the collision calculation result to obtain the collision position, the influence range and the related equipment. And analyzing the collision result, analyzing the collision range, the associated equipment and the influence condition of the object entity with the collision based on the collision intersection analysis result, and providing data input for damage assessment. The recording specification of the collision detection analysis result is shown in table 1.
TABLE 1
Then confirming the damage result based on a judgment rule to obtain a target confirmation result, and calculating the damage performance data of the target virtual weapon model in the preset time period based on data corresponding to the target confirmation result to obtain the damage performance data of each time slice of the target virtual weapon model; the target confirmation result is characterized in that the target virtual weapon model hits a target object. The method comprises the steps of performing damage correction on a striking target through an ammunition damage model, setting the protection capability of the striking target, performing multi-dimensional calculation, and introducing a collision detection analysis model and a damage grade analysis model for calculation. The damage efficiency of the virtual weapon model is calculated from multiple aspects to obtain the damage result of each time slice of the target virtual weapon model, so that the time slice splitting is carried out on the weapon launching and striking process based on the real data of the physical damage, the damage efficiency index quantitative statistics of the weapon physical striking link can be realized, the damage efficiency coefficient at the moment T is comprehensively evaluated by analyzing the dimension of the time slice, the comprehensive striking and damage efficiency evaluation of the weapon physical entity is realized, and the method has important significance for realizing the modeling of the parameterized physical entity and the weapon combat efficiency analysis in the time process. In this embodiment, after calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model, the method further includes: and calculating the damage performance data of the target virtual weapon model for a plurality of times to obtain a damage performance database, and determining the comprehensive damage performance data of each time slice of the target virtual weapon model in the preset time period based on the saturated gunfire coverage striking factors and the damage performance database so as to realize the comprehensive evaluation of the damage capacity of the weapon to be evaluated. The striking efficiency of the weapon equipment is calculated for multiple times, and meanwhile, the saturated gunfire covering striking factor is introduced for calculation, so that the damage result of each time slice within the T + n time under multiple elements is obtained, and the comprehensive damage capability of the weapon equipment is evaluated. Therefore, the method considers the gunfire covering striking condition, evaluates the damage value of the covering area aiming at the saturated gunfire striking condition, and further meets the requirement of actual combat simulation.
According to the method, when virtual damage performance evaluation is carried out, firstly, the damage performance data of the weapon to be evaluated is constructed by using a digital twinning technology, and a data driving model under multi-source isomerism is created on the basis of the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated; determining a weight value of the virtual weapon model at a preset moment according to a time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database; superposing the weight value and preset condition data to damage efficiency data of the virtual weapon model in a preset time period based on a preset superposition rule to obtain a target virtual weapon model; and calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model. According to the method, the time slicing splitting is carried out on the weapon launching and striking process based on the actual data of weapon damage, the quantitative statistics of damage performance indexes of the weapon striking link can be realized, the comprehensive damage performance evaluation of the weapon is realized by analyzing the dimension of the time slicing and comprehensively evaluating the damage performance coefficient at the preset moment, and the method has important significance for realizing the modeling of the parameterized weapon and analyzing the weapon operational performance under the time process. Meanwhile, compared with the traditional weapon efficiency evaluation strategy, the method disclosed by the invention considers the influence of the external environment on the damage efficiency of the weapon equipment, and also discloses a damage efficiency evaluation method more fitting the reality by combining with multi-dimensional information such as the striking angle, the striking position and the like.
Based on the above embodiments, the present application can provide a dynamic assessment method suitable for the damage performance of weaponry based on the digital twinning technique and the time slicing technique. Next, a process of acquiring damage performance data of each time slice of the target virtual weapon model will be specifically described. Referring to fig. 7, an embodiment of the present invention discloses a specific damage performance evaluation method based on digital twins, including:
step S21, calculating the damage efficiency of the target virtual weapon model based on the ammunition damage model, the collision detection analysis and the damage grade analysis model to obtain the damage result of the target virtual weapon model.
In this embodiment, after the target virtual weapon model is obtained, the damage performance of the target virtual weapon model is calculated based on the ammunition damage model, the collision detection analysis and the damage level analysis model to obtain the damage result of the target virtual weapon model, so that the requirement of evaluating the damage effect of the weapon under multiple space-time dimensions is met.
Step S22, confirming the damage result based on a judgment rule to obtain a target confirmation result, respectively determining characteristic parameters of a target object before and after the target object is hit based on data corresponding to the target confirmation result, determining action data of a damage element on the target object based on the characteristic parameters, and calculating the damage probability of the target object by using the action data; and the target confirmation result is characterized in that the target virtual weapon model hits a target object.
In this embodiment, the determining the damage result based on the evaluation rule to obtain a target determination result includes: confirming the damage result according to data when ammunition hits the target object to obtain a target confirmation result; the data includes a hit angle, a hit location, and ammunition damage data suffered by the target object. Namely, according to the hit angle and hit position when the ammunition hits the target and the data such as the ammunition penetration damage or damage situation suffered by the target, the damage accuracy, timeliness and validity index are confirmed. Therefore, the method combines multi-dimensional information such as the striking angle and the striking position, constructs a damage efficiency evaluation method more fitting the reality, and meets the requirement of weapon efficiency damage effect evaluation under multi-space-time dimensions.
Step S23, calculating damage performance data of all the target virtual weapon models in the preset time period based on the damage probability of the target object, and determining the damage performance data of each time slice of the target virtual weapon models based on the damage performance data of all the target virtual weapon models.
In the embodiment, the characteristic parameters before and after striking are compared and judged, and the damage probability of the target is calculated according to the obtained action condition of the damage element on the target.
Wherein,
for damage performance data for a single time slice>
The slice at the ith time T + N, where N is the total number of time slices. And (4) counting damage efficiency data of the weapon force entity in all T + n time, thereby obtaining the killing energy efficiency of each slice in the T + n time in the whole weapon striking process. It should be noted that if the standard target is a point target, then a point-kill weapon is selected for striking, and the core pseudo code of the damage calculation is as follows: />
If (Point target)
{
for (i =1
{
Calculation formula of if (Rand () = weapon damage index D x hit probability P x visibility level K)// point target
The target is destroyed;
else
the target is not destroyed;
}
}
the sub-target performance decay level is a mapping of the physical damage level of the sub-target as a function of the physical damage. Assuming that the physical damage level of the sub-target is P (x), the initial performance value of the target is P0 (x), and the performance value after suffering the corresponding damage is P (x), the relationship between the target performance degradation level and the target damage level is:
wherein: p (x) is a performance decay function; p (x) is more than or equal to 0 and less than or equal to P0 (x) and less than or equal to 1; p (x) is the physical damage level of the sub-target; the specific expression of the function f needs to be determined according to different situations. Different mission missions of targets and different battlefield environments cause different expressions of the function f. Since the corresponding degree of performance degradation at certain physically compromised nodes is known, lagrange's linear interpolation is often used to determine the expression type of the function f.
Compared with the traditional weapon efficiency evaluation strategy, the method provided by the invention considers the influence of the external environment on the damage efficiency of the weapon equipment, and also constructs a damage efficiency evaluation method more fitting the reality by combining multi-dimensional information such as the striking angle, the striking position and the like, thereby meeting the requirement of evaluating the damage effect of the weapon under multi-space-time dimension.
Referring to fig. 3, an embodiment of the present invention discloses a damage performance evaluation device based on digital twins, including:
the model acquisition module 11 is configured to construct damage performance data of a weapon to be evaluated by using a digital twin technology, and create a data driving model under multi-source isomerism based on the damage performance data of the weapon to be evaluated to obtain a virtual weapon model corresponding to the weapon to be evaluated;
the weight value determining module 12 is configured to determine a weight value of the virtual weapon model at a preset time according to the time slice sequence and an evaluation rule in a pre-established damage evaluation criterion database;
the model determining module 13 is configured to superimpose the weight value and the preset condition data into damage performance data of the virtual weapon model within a preset time period based on a preset superimposing rule, so as to obtain a target virtual weapon model;
the data determining module 14 is configured to calculate the damage performance data of the target virtual weapon model in the preset time period, so as to obtain the damage performance data of each time slice of the target virtual weapon model.
When virtual damage performance evaluation is carried out, firstly, a digital twinning technology is utilized to construct damage performance data of a weapon to be evaluated, and a data driving model under multi-source isomerism is created based on the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated; determining a weight value of the virtual weapon model at a preset moment according to a time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database; superposing the weighted value and preset condition data to damage efficiency data of the virtual weapon model within a preset time period based on a preset superposition rule to obtain a target virtual weapon model; and calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model. According to the method, the time slicing splitting is carried out on the weapon launching and striking process based on the actual data of weapon damage, the quantitative statistics of damage performance indexes of the weapon striking link can be realized, the comprehensive damage performance evaluation of the weapon is realized by analyzing the dimension of the time slicing and comprehensively evaluating the damage performance coefficient at the preset moment, and the method has important significance for realizing the modeling of the parameterized weapon and analyzing the weapon operational performance under the time process. Meanwhile, compared with the traditional weapon efficiency evaluation strategy, the method disclosed by the invention considers the influence of the external environment on the damage efficiency of the weapon equipment, and also discloses a damage efficiency evaluation method more fitting the reality by combining multidimensional information such as the striking angle, the striking position and the like.
In some specific embodiments, the weight value determining module 12 includes:
and the weight value determining unit is used for pairing the damage performance data and the virtual weapon model according to the time slice sequence to obtain a paired virtual weapon model, and determining a weight value of the paired virtual weapon model at a preset moment based on an evaluation rule in the damage evaluation criterion database.
In some specific embodiments, the model determining module 13 includes:
the corrected virtual weapon model acquisition unit is used for establishing a mapping relation between the time slice and the evaluation rule, and superposing the weight value to damage performance data of the virtual weapon model in the preset time period according to the mapping relation so as to obtain a corrected virtual weapon model;
the target virtual weapon model acquisition unit is used for carrying out data superposition on the corrected virtual weapon model based on preset condition data so as to obtain the target virtual weapon model; the condition data comprises preset simulated physical environment, temperature and humidity, wind power and meteorological data.
In some specific embodiments, the data determining module 14 includes:
the damage result acquisition unit is used for calculating the damage efficiency of the target virtual weapon model based on an ammunition damage model, collision detection analysis and a damage grade analysis model so as to obtain a damage result of the target virtual weapon model;
a damage performance data acquisition unit, configured to confirm the damage result based on a judgment rule to obtain a target confirmation result, and calculate the damage performance data of the target virtual weapon model in the preset time period based on data corresponding to the target confirmation result, so as to obtain damage performance data of each time slice of the target virtual weapon model; the target confirmation result is characterized in that the target virtual weapon model hits a target object.
In some specific embodiments, the data determining module 14 includes:
the target confirmation result acquisition unit is used for confirming the damage result according to data when ammunition hits the target object so as to obtain a target confirmation result; the data comprises a hit angle, a hit position and ammunition damage data suffered by the target object.
In some specific embodiments, the data determining module 14 includes:
a damage probability calculation unit, configured to determine, based on data corresponding to the target confirmation result, characteristic parameters of the target object before and after being hit, determine, based on the characteristic parameters, action data of a damage element on the target object, and calculate, using the action data, a damage probability of the target object;
and the data determining unit is used for calculating the damage performance data of all the target virtual weapon models in the preset time period based on the damage probability of the target object, and determining the damage performance data of each time slice of the target virtual weapon models based on the damage performance data of all the target virtual weapon models.
In some specific embodiments, the data determining module 14 further includes:
and the comprehensive evaluation unit is used for calculating the damage performance data of the target virtual weapon model for a plurality of times to obtain a damage performance database, and determining the comprehensive damage performance data of the target virtual weapon model in each time slice in the preset time period based on the saturated gunfire covering striking factor and the damage performance database so as to realize the comprehensive evaluation of the damage capability of the weapon to be evaluated.
Further, an electronic device is disclosed in the embodiments of the present application, and fig. 4 is a block diagram of the electronic device 20 according to an exemplary embodiment, which should not be construed as limiting the scope of the application.
Fig. 4 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present disclosure. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. The memory 22 is used for storing a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the digital twin-based damage performance evaluation method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide a working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and a communication protocol followed by the communication interface is any communication protocol applicable to the technical solution of the present application, and is not specifically limited herein; the input/output interface 25 is configured to obtain external input data or output data to the outside, and a specific interface type thereof may be selected according to specific application requirements, which is not specifically limited herein.
In addition, the storage 22 is used as a carrier for resource storage, and may be a read-only memory, a random access memory, a magnetic disk or an optical disk, etc., and the resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage manner may be a transient storage or a permanent storage.
The operating system 221 is used for managing and controlling each hardware device on the electronic device 20 and the computer program 222, and may be Windows Server, netware, unix, linux, or the like. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the digital twin-based damage performance evaluation method performed by the electronic device 20 disclosed in any of the above embodiments.
Further, the present application also discloses a computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the digital twin-based damage performance assessment method disclosed above. For the specific steps of the method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The technical solutions provided by the present application are introduced in detail, and specific examples are applied in the description to explain the principles and embodiments of the present application, and the descriptions of the above examples are only used to help understanding the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A damage performance evaluation method based on digital twinning is characterized by comprising the following steps:
constructing damage performance data of a weapon to be evaluated by using a digital twin technology, and creating a data driving model under multi-source isomerism based on the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated;
determining a weight value of the virtual weapon model at a preset moment according to a time slice sequence and an evaluation rule in a pre-constructed damage evaluation criterion database;
superposing the weighted value and preset condition data to damage efficiency data of the virtual weapon model within a preset time period based on a preset superposition rule to obtain a target virtual weapon model;
and calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model.
2. The method for evaluating damage performance of a digital twin-based weapon according to claim 1, wherein the determining the weight value of the virtual weapon model at a preset moment according to the evaluation rule in the time slice sequence and the pre-constructed damage evaluation criterion database comprises:
and matching the damage performance data with the virtual weapon model according to the time slice sequence to obtain a matched virtual weapon model, and determining a weight value of the matched virtual weapon model at a preset moment based on an evaluation rule in the damage evaluation criterion database.
3. The method according to claim 1, wherein the step of adding the weight value and the preset condition data to the damage performance data of the virtual weapon model within the preset time period based on a preset adding rule to obtain a target virtual weapon model comprises:
establishing a mapping relation between the time slice and the evaluation rule, and adding the weight value to the damage performance data of the virtual weapon model in the preset time period according to the mapping relation to obtain a modified virtual weapon model;
performing data superposition on the corrected virtual weapon model based on preset condition data to obtain the target virtual weapon model; the condition data comprises preset simulated physical environment, temperature and humidity, wind power and meteorological data.
4. The method according to claim 1, wherein the calculating the damage performance data of the target virtual weapon model in the predetermined time period to obtain the damage performance data of each time slice of the target virtual weapon model comprises:
calculating the damage efficiency of the target virtual weapon model based on an ammunition damage model, collision detection analysis and a damage grade analysis model to obtain a damage result of the target virtual weapon model;
confirming the damage result based on a judgment rule to obtain a target confirmation result, and calculating the damage performance data of the target virtual weapon model in the preset time period based on data corresponding to the target confirmation result to obtain the damage performance data of each time slice of the target virtual weapon model; and the target confirmation result is characterized in that the target virtual weapon model hits a target object.
5. The method as claimed in claim 4, wherein said determining said damage result based on said evaluation rule to obtain a target determination result comprises:
confirming the damage result according to data when ammunition hits the target object to obtain a target confirmation result; the data includes a hit angle, a hit location, and ammunition damage data suffered by the target object.
6. The method for evaluating the damage performance of a digital twin-based weapon according to claim 4, wherein the calculating the damage performance data of the target virtual weapon model in the preset time period based on the data corresponding to the target confirmation result to obtain the damage performance data of each time slice of the target virtual weapon model comprises:
respectively determining characteristic parameters of the target object before and after the target object is hit based on data corresponding to the target confirmation result, determining action data of a damage element on the target object based on the characteristic parameters, and calculating damage probability of the target object by using the action data;
and calculating damage performance data of all the target virtual weapon models in the preset time period based on the damage probability of the target object, and determining the damage performance data of each time slice of the target virtual weapon models based on the damage performance data of all the target virtual weapon models.
7. The method according to any one of claims 4 to 6, wherein after the calculating the damage performance data of the target virtual weapon model in the preset time period to obtain the damage performance data of each time slice of the target virtual weapon model, the method further comprises:
and calculating the damage performance data of the target virtual weapon model for a plurality of times to obtain a damage performance database, and determining the comprehensive damage performance data of each time slice of the target virtual weapon model in the preset time period based on the saturated gunfire coverage striking factors and the damage performance database so as to realize the comprehensive evaluation of the damage capacity of the weapon to be evaluated.
8. A damage performance evaluation device based on digital twinning is characterized by comprising:
the model acquisition module is used for constructing damage performance data of a weapon to be evaluated by using a digital twinning technology, and creating a data driving model under multi-source isomerism on the basis of the damage performance data of the weapon to be evaluated so as to obtain a virtual weapon model corresponding to the weapon to be evaluated;
the weight value determining module is used for determining the weight value of the virtual weapon model at the preset moment according to the time slice sequence and an evaluation rule in a pre-established damage evaluation criterion database;
the model determining module is used for superposing the weight value and preset condition data to damage efficiency data of the virtual weapon model in a preset time period based on a preset superposition rule so as to obtain a target virtual weapon model;
and the data determination module is used for calculating the damage performance data of the target virtual weapon model in the preset time period so as to obtain the damage performance data of each time slice of the target virtual weapon model.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the method for evaluating the damage performance based on the digital twin as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, implements the method for evaluating a damage performance based on digital twins according to any one of claims 1 to 7.
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