CN112884289A - Weapon and equipment combination selection method and system based on system contribution rate - Google Patents
Weapon and equipment combination selection method and system based on system contribution rate Download PDFInfo
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Abstract
The invention discloses a weapon and equipment combination selection method and system based on system contribution rate, comprising the following steps: constructing a weapon equipment system combat network model based on the thought of a functional chain; acquiring a comprehensive index of the operational capacity of the operational network based on the thought of the functional chain; acquiring the comprehensive index of the fighting capacity before and after the weapon and equipment combination is added into the fighting network, and calculating the system contribution rate of the weapon and equipment combination based on the cost constraint condition; and constructing a weapon and equipment combination selection model according to a preset objective function and preset constraint conditions, and acquiring a target weapon and equipment combination from the combat network through the weapon and equipment combination selection model. According to the method, based on the system contribution rate of the equipment system combat network and the weapon equipment combination, the weapon equipment combination which maximally improves the combat capability of the whole weapon equipment system is found out under the preset constraint condition, the simplicity and the reliability of weapon equipment combination selection are improved, and the feasible combination space of the weapon equipment is effectively reduced.
Description
Technical Field
The invention belongs to the technical field of weapon equipment systems, and particularly relates to a weapon equipment combination selection method and system based on system contribution rate.
Background
The system contribution rate is mainly used as an evaluation index for measuring 'function perfection', 'performance improvement', 'capability gain' or 'efficiency improvement', etc., which are possibly generated by a weaponry system on the whole weaponry combat system, and focuses on measuring the change and fluctuation of functions/performance/capability/efficiency generated at the system level due to the fact that weaponry is added into the combat system, and particularly emphasizes the positive influence, namely the contribution, of the weaponry.
The system contribution rate evaluation method of the prior weaponry comprises two methods: the method comprises the following steps of firstly, evaluating the system contribution rate of heterogeneous weaponry, and evaluating the heterogeneous contribution rate according to the status of the weaponry in a combat system; and secondly, evaluating the system contribution rate of similar weaponry. For the systematic contribution rate evaluation method of the heterogeneous weaponry, the reconnaissance equipment, the decision equipment, the striking equipment and the weapon platform contained in a complete combat unit are considered, and the comparison of the reconnaissance equipment, the decision equipment, the striking equipment and the weapon platform is the most important one, so that the contribution rate is the maximum. In fact, as a component of a combat unit, the mission is completed by the tandem cooperation operation, and the contribution rates of the components are the same. The contribution rate evaluation of the heterogeneous weaponry can adopt the artificial intelligence technology and the combat simulation to be combined and extract the contribution rate of various weaponry in an equipment system based on the deep learning analysis of a machine, but at present, some technical difficulties still exist. Therefore, although the existing system contribution rate evaluation method of the heterogeneous weaponry places weaponry in the whole weaponry system to evaluate the contribution, the evaluation object is still a single weapon, and the joint action among the heterogeneous weaponry is neglected, so that the system contribution rate evaluation requirement of the heterogeneous weaponry combination as the evaluation object cannot be met.
In addition, in the existing weapon equipment combination selection method for the weapon equipment system, for a large-scale complex weapon equipment combat network system, the increase of the number of candidate weapon equipment can lead the complexity of combination selection to be exponentially increased, and the explosive increase of the feasible combination space occupies a large space.
Disclosure of Invention
The invention provides a weapon equipment combination selection method and system based on system contribution rate, which aims to solve the problems that the existing weapon equipment system contribution rate evaluation method cannot meet the system contribution rate evaluation requirements of heterogeneous weapon equipment combinations, and the existing weapon equipment combination selection method for a weapon equipment system has high complexity of combination selection and large feasible combination space for a large-scale complex weapon equipment operation network system.
In view of the above, the present invention provides, in a first aspect, a method for selecting a combination of weaponry based on system contribution ratio, including:
constructing a weapon equipment system combat network model based on the thought of a functional chain;
acquiring a comprehensive operational capacity index of the operational network of the weapon equipment system based on the thought of the function chain;
acquiring the comprehensive index of the combat capability before and after each weapon and equipment combination is added into the combat network of the weapon and equipment system, and calculating the system contribution rate of each weapon and equipment combination based on a cost constraint condition;
and constructing a weapon and equipment combination selection model according to a preset objective function and preset constraint conditions, and acquiring a target weapon and equipment combination from the weapon and equipment system combat network through the weapon and equipment combination selection model.
Preferably, the function chain-based idea is used for constructing a weaponry system combat network model, and the method comprises the following steps:
dividing the weapon equipment entities into reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities according to different roles played by each weapon equipment entity in a weapon equipment system in a battle;
acquiring interaction information among reconnaissance equipment entities, decision equipment entities and attack equipment entities;
abstracting reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities into equipment nodes, abstracting interactive information into edges, and constructing a weaponry system combat network;
and mathematically describing the weaponry system combat network.
Preferably, the obtaining of the comprehensive index of the operational capacity of the weaponry system operational network based on the thought of the function chain includes:
the functional chain is defined, and in order to complete a specific combat mission, reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities in a weapon equipment system form a link capable of exerting combat capability through interaction;
constructing a capability index system of the weaponry;
determining a mission task, and acquiring a capacity requirement for completing the mission task based on a capacity index system of the weapon equipment;
calculating the fighting capacity of the single function chain according to the capacity requirement for completing the mission task and the existing capacity of weapon equipment corresponding to all equipment nodes contained in the single function chain;
and acquiring all the functional chains in the weaponry system combat network, and acquiring a combat capability comprehensive index of the weaponry system combat network through a combat capability evaluation model matched with the number of the functional chains so as to acquire the combat capability of the weaponry system.
Preferably, the calculation formula of the operational capability of the single functional chain is as follows:
EL＝ΠES×ΠED×ΠEB，
wherein ,ELFor the operational capacity of a single functional chain, ES、ED and EBAnd the reconnaissance equipment node, the decision equipment node and the attack equipment node which are contained in a single functional chain respectively face the fighting capacity embodied by the mission task.
Preferably, the acquiring all the function chains in the weaponry system combat network, and the obtaining a combined operational capability index of the weaponry system combat network through a combat capability evaluation model matched with the number of the function chains includes:
acquiring all the function chains in the weapon equipment system combat network, and detecting whether the number of the function chains is less than a preset threshold value;
when the number of the functional chains is smaller than a preset threshold value, obtaining a comprehensive operational capacity index of the weapon equipment system operational network through a first operational capacity evaluation model, wherein the first operational capacity evaluation model is as follows:
wherein E is the comprehensive index of the operational capacity of the operational network of the weapon equipment system,
the fighting capacity of the ith functional chain is shown, and m is the number of the functional chains;
when the number of the functional chains is larger than or equal to a preset threshold value, obtaining a comprehensive operational capacity index of the operational network of the weapon equipment system through a second operational capacity evaluation model, wherein the second operational capacity evaluation model is as follows:
preferably, the calculation formula of the system contribution rate is as follows:
wherein ,
for weaponry assembly VxThe rate of contribution of the system (2),
for joining said weaponry combination VxThe combined operational capacity index of the weapon and equipment system operational network facing mission task, ESFor not incorporating said weaponry combination VxThe combined index of the operational capacity of the weapon equipment system operational network facing mission task, cost (V)x) For said weaponry assembly VxThe cost of (a) of (b),
the total cost of all weaponry in the network is battled for the weaponry system.
Preferably, the preset objective function is:
wherein argmax () is a function for the optimization problem;
the preset constraints include cost budget constraints and capacity requirement constraints.
Preferably, the set of possible weaponry combinations that are obtained from cost budget constraints is:
wherein ,
for a set of feasible weaponry combinations, C (V)x) For said weaponry assembly VxB is the budget limit value;
the set of possible weaponry combinations obtained from the capacity demand constraints is:
wherein ,CAk(Vx) For said weaponry assembly VxOf the kth capability level, NkIs the kth capacity requirement.
In a second aspect, the present invention provides a system for selecting a combination of weaponry equipment based on a system contribution rate, comprising:
the network construction module is used for constructing a weapon equipment system combat network model based on the thought of the functional chain;
the capability evaluation module is used for acquiring a comprehensive operational capability index of the operational network of the weapon equipment system based on the thought of the function chain;
the contribution rate evaluation module is used for acquiring the comprehensive index of the fighting capacity before and after each weapon and equipment combination is added into the fighting network of the weapon and equipment system, and calculating the system contribution rate of each weapon and equipment combination based on a cost constraint condition;
and the combination selection module is used for constructing a weapon and equipment combination selection model according to a preset objective function and a preset constraint condition, and acquiring a target weapon and equipment combination from the weapon and equipment system combat network through the weapon and equipment combination selection model.
Preferably, the capability evaluation module includes:
the functional chain definition unit is used for defining a functional chain, and the functional chain is defined as a link which can exert the fighting capacity through interaction of reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities in a weapon equipment system in order to complete a specific fighting task;
the index system building unit is used for building a capability index system of the weaponry;
the requirement determining unit is used for determining a mission task and acquiring the capacity requirement for completing the mission task based on the capacity index system of the weapon equipment;
the functional chain capacity evaluation unit is used for calculating the fighting capacity of the single functional chain according to the capacity requirement for completing the mission task and the existing capacity of the weapon equipment corresponding to all equipment nodes contained in the single functional chain;
and the comprehensive capacity evaluation unit is used for acquiring all the functional chains in the weaponry system combat network, and acquiring a combat capacity comprehensive index of the weaponry system combat network through a combat capacity evaluation model matched with the number of the functional chains so as to acquire the combat capacity of the weaponry system.
The method and the system for selecting the combination of the weaponry based on the system contribution rate comprise the steps of firstly constructing an equipment system combat network based on the thought of a function chain, secondly acquiring a combat capability comprehensive index of the equipment system combat network based on the thought of the function chain, calculating the capability contribution rate of the combination of the weaponry to the weaponry system based on the combat capability comprehensive index, and finally constructing a weaponry combination selection model based on a preset constraint condition and a preset objective function so as to obtain a target weaponry combination. Compared with the existing weapon equipment system contribution rate evaluation method, the weapon equipment system combat network comprehensive combat capability change condition is calculated, the weapon equipment system combat network comprehensive combat capability change condition is considered, the weapon equipment system contribution rate is calculated by considering the equipment cost factor, and the system contribution rate evaluation requirement of the different weapon equipment combinations can be met. Compared with the existing weapon equipment combination selection method for the weapon equipment system, the weapon equipment combination selection method based on the system contribution rate is based on the system contribution rate of the equipment system combat network and the weapon equipment combination, and the weapon equipment combination which maximizes the combat capability of the whole weapon equipment system is found out under the preset constraint condition, so that the simplicity and reliability of weapon equipment combination selection are improved, and the feasible combination space of the weapon equipment is effectively reduced.
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 some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a first flowchart of a method for selecting a combination of weaponry equipment based on system contribution rates in an embodiment of the present invention;
FIG. 2 is a second flowchart of a method for selecting a combination of weaponry equipment based on system contribution rates in an embodiment of the present invention;
FIG. 3 is a flowchart III of a method for selecting a combination of weaponry equipment based on system contribution rate according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a weaponry systems combat network provided in an embodiment of the present invention;
FIG. 5 is a first schematic structural diagram of a system for selecting combinations of weaponry equipment based on architectural contribution rates in an embodiment of the present invention;
fig. 6 is a first schematic structural diagram of a system for selecting a combination of weaponry and equipment based on architectural contribution ratio according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, an embodiment of the present invention provides a method for selecting a combination of weaponry based on system contribution rate, where the method includes:
and step S10, constructing a weapon equipment system combat network model based on the thought of the function chain.
The functional chain is a link that can develop a certain fighting capability by interacting the weaponry entities (W) in the weaponry system in order to complete a specific fighting mission. The weaponry entities (W) may be divided into reconnaissance-type equipment entities (S), decision-type equipment entities (D), and percussive-type equipment entities (B) based on the different roles each weaponry entity plays in a combat. The reconnaissance equipment entity (S) is weapon equipment which utilizes a sensor to collect target and battlefield information and has the main functions of target reconnaissance, information acquisition and battlefield monitoring. The decision equipment entity (D) is weapon equipment with functions of information processing and analysis, decision assistance and command control on interference equipment. The striking equipment entity (B) is weapon equipment mainly used for carrying out combat and damage actions, and has the functions of accurate striking, fire damage, electronic interference and the like.
Understandably, in the functional chain and the combat ring, the equipment nodes corresponding to the weapon equipment entities (W) can realize cooperative combat through an information network, and can break through hard hinges among the traditional combat platform, sensors and the weapon equipment entities to construct a complete detective-decision-attack link in a loose coupling mode so as to realize cooperative combat among equipment. The network modeling analysis of the weapon equipment system based on the thought of a function chain or a combat ring is the extension of the thought of a Boider ring (OODA cycle). The combat ring is a closed loop formed by equipment entities such as reconnaissance, decision and attack in a weaponry system and enemy targets to complete a specific combat mission.
Preferably, as shown in fig. 2, step S10 specifically includes the following steps:
step S101, according to different roles played by each weapon equipment entity in the weapon equipment system in the battle, the weapon equipment entities are divided into reconnaissance type (S), decision type (D) and attack type (B) equipment entities.
And step S102, acquiring interaction information among equipment entities of a scout class (S), a decision class (D) and a strike class (B).
And step S103, abstracting equipment entities of the reconnaissance class (S), the decision class (D) and the attack class (B) into equipment nodes, abstracting the interactive information into edges, and constructing a weapon equipment system combat network.
And step S104, carrying out mathematical description on the weaponry system combat network.
In step S104, the weaponry systems combat network may be abstracted into a complex network, which may be represented by G ═ V, E, where V ═ S ═ D ═ I ═ V ═ E ═ V ═ D ═ I ═ V ═ E ═ V ═ S ═ D ═1,v2,…,v|V|Is a set containing all equipment nodes, E ═ E1,e2,…,e|E|Is the set that contains all edges.
To contain the set of all scout class equipment nodes,
to contain the set of all decision class equipment nodes,
is a collection containing all the hit class equipment points.
It should be noted that, based on the definition of the function chain, each weaponry entity in the weaponry system does not need to form a closed loop with an enemy target, and therefore, the above-mentioned embodiment does not need to consider the enemy equipment entity when constructing the equipment system combat network model.
The embodiment carries out networked modeling description on the weapon equipment system based on the idea of a function chain, can fully consider the incidence relation among the weapon equipment in the weapon equipment system and the heterogeneity of the type of the weapon equipment, and provides a basis for the assessment of the contribution rate of the weapon equipment and the selection of the combination of the weapon equipment.
And step S20, acquiring a comprehensive index of the fighting capacity of the weapon equipment system fighting network based on the thought of the function chain.
The comprehensive index of the operational capacity is used for measuring the operational capacity of the weapon equipment system for mission-oriented tasks. Step S20 is based on the functional chain, and the operational capability assessment of the weaponry system is the basis of the system contribution rate assessment, and the assessment target is the weaponry system, which is the theoretical value assessment of the ability of the weaponry system to perform in a static and non-confrontational scenario.
Understandably, the definition of the function chain and the combat ring shows that the function chain comprises the combat ring, and the function chain is an extension of the combat ring and is wider, more comprehensive and more comprehensive than the combat ring. In addition, in the weaponry system combat capability assessment, the functional chain is the only link connecting the assessment of the capability of the equipment itself, the assessment of the level of the equipment's mutual association and coordination capability, and the assessment of the combat mission performance. Therefore, the method for evaluating the fighting capacity of the weapon equipment system based on the function chain is a new idea for evaluating the fighting capacity of the weapon equipment system.
Preferably, as shown in fig. 3, step S20 specifically includes the following steps:
step S201, defining a function chain, wherein the function chain is defined in such a way that reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities in a weapon equipment system form a link capable of exerting fighting capacity through interaction in order to complete a specific fighting task.
Step S202, a capability index system of the weapon equipment is built.
Wherein, the capability index system comprises a plurality of (two or more) primary capability indexes, and each primary capability index comprises a plurality of secondary capability indexes. In this embodiment, the capability index system includes three primary capability indexes, namely, a reconnaissance capability, a decision capability and a percussion capability. The reconnaissance capability refers to the capability of acquiring, transmitting, processing and effectively utilizing various types of information through various ways, and the reconnaissance capability includes but is not limited to intelligence reconnaissance capability, information transmission capability, information processing capability and information sharing capability. The decision-making capability refers to the capability of helping decision-making equipment to complete activities such as situation perception, battle deployment, effect evaluation and the like in the battle process, and the decision-making capability includes but is not limited to auxiliary decision-making capability, comprehensive control coordination capability and firepower coordination support capability. The hitting ability refers to the ability of hitting a set enemy by using various combat means to make the enemy lose the combat ability, wherein the hitting ability includes but is not limited to fire damage ability, electronic interference ability and accurate hitting ability.
Step S203, determining the mission task, and acquiring the capacity requirement for completing the mission task based on the capacity index system of the weapon equipment.
Preferably, after determining the future mission task, on one hand, the specific capacity requirement for completing the mission task is obtained through expert experience evaluation, and on the other hand, the specific capacity requirement for completing the mission task is obtained through decomposition to obtain a specific task list and based on the task list and the capacity mapping relation. It will be appreciated that the capability index system is the basis for determining the specific capability requirements for completing mission tasks.
In step S203, the ability requirement for completing the mission task includes a scout ability requirement
Decision capability requirement
And percussion ability requirements
And reconnaissance of capability requirements
Decision capability requirement
And percussion ability requirements
May contain multiple sub-capability requirements.
And step S204, calculating the fighting capacity of the single function chain according to the capacity requirement for completing the mission task and the existing capacity of the weapon equipment corresponding to all equipment nodes contained in the single function chain.
Based on the thought of the function chain, when the detective equipment finishes the detective early warning to the enemy target, then the information is transmitted to the decision equipment, the decision equipment processes the information and issues a decision command to be transmitted to the attacking equipment, the attacking equipment utilizes the attacking capability to destroy the enemy target, and only when the process of the whole function chain is smoothly finished, each weapon equipment can be considered to exert the fighting capability. Therefore, in step S204, the calculation formula of the fighting capabilities of the single function chain is specifically expressed as:
EL＝∏ES×ΠED×ΠEB (1)
in the formula (1), ELFor the operational capacity of a single functional chain, ES、ED and EBThe reconnaissance equipment nodes, the decision equipment nodes and the attack equipment nodes contained in the single functional chain respectively face the fighting capacity embodied by mission tasks.
Wherein, the reconnaissance equipment node is oriented to the operational capability E embodied by mission taskSThe calculation formula of (a) is specifically expressed as:
in the formula (2), CSFor the scouting capability of the scout equipment corresponding to the scout equipment node,
and f () is a capability satisfying function for the scouting capability requirement facing the mission task of the scouting equipment corresponding to the scouting equipment node. Optionally, for each weapon in the weapon equipment system, according to the system module or the function module of the weapon equipment, the system module or the function module is provided withCorresponding capabilities.
Fighting capacity E embodied by mission-oriented tasks of decision-making equipment nodesDThe calculation formula of (a) is specifically expressed as:
in the formula (3), CDThe decision-making capability of the decision-making equipment corresponding to the decision-making equipment node,
and (4) meeting the mission-oriented decision-making capability requirement of the scout equipment corresponding to the scout equipment node.
Fighting capacity E embodied by mission-oriented tasks of attack equipment nodesBThe calculation formula of (a) is specifically expressed as:
in the formula (4), CBThe striking capability of the striking equipment corresponding to the striking equipment node,
the hitting capability requirement of mission-oriented missions of the hitting equipment corresponding to the hitting equipment nodes is met.
The calculation formula for the capability satisfying function f () is specifically expressed as:
in equation (5), a is the existing capability of the weaponry and b is the mission-oriented capability requirement of the weaponry. The capability satisfaction function shows that as the capability index of the weapon equipment increases, the fighting capability of the weapon equipment facing a specific task is strengthened, but the increasing trend becomes slow. When the capability index of the weaponry reaches a higher level, even if the capability index is strengthened, the capability index can not play a greater role in a specific combat mission.
To function as a chain L1The method comprises the following steps of taking scout equipment nodes, decision equipment nodes and attack equipment nodes as examples, and aiming at completing future mission tasks M1Suppose that the 2 sub-capability requirements of the scout capability are respectively
And
the 2 sub-capability requirements of the decision capability are respectively
And
the 2 sub-capability requirements of the striking capability are respectively
And
and supposing the scout equipment V corresponding to the scout equipment node1Has the capability of
And
decision device V corresponding to decision equipment node2Has the capability of
And
striking equipment V corresponding to striking equipment node3Has the capability of
And
then the functional chain L1Mission-oriented task M1The represented fighting capabilities can be expressed as:
and S204, acquiring all functional chains in the weaponry system combat network, and acquiring the combat capability comprehensive index of the weaponry system combat network through the combat capability evaluation model matched with the number of the functional chains so as to obtain the combat capability of the weaponry system.
Specifically, the function chain set L ═ L { L is obtained according to all the function chain combinations in the weaponry system combat networki1,2, …, m, wherein m is the number of all function chains in the weaponry system combat network, and whether the number m of the function chains is less than a preset threshold value T is detectedmWhen the number m of functional chains is less than a preset threshold value TmAnd acquiring the operation capacity of the weapon equipment system through the first operation capacity evaluation model. Preferably, the first operational capability assessment model is expressed by a parallel event probability formula, and is specifically expressed as:
in the formula (7), E is the comprehensive index of the operational capacity of the operational network of the weapon equipment system,
set L ═ L as function chainsiI | ═ 1,2, …, m } of the i-th functional chain's operational capabilities. Understandably, the formula (7) showsThe first operational capacity evaluation model is suitable for calculating the parallel relation of a small number of functional chains, and under the condition that the scale of the functional chains is large, the functional chains are in the formula (7)
The value of (A) tends to zero, and the value of the fighting capacity E after each new equipment combination is added into the weapon equipment system is close to 1, so that the purpose of distinguishing and sequencing cannot be achieved. Therefore, when the number m of functional chains is greater than or equal to the predetermined threshold TmAnd acquiring the operation capacity of the weapon equipment system through the second operation capacity evaluation model. Preferably, the second operational capability assessment model is expressed by a resistance parallel formula, and is specifically expressed as:
that is, 1-E in the formula (7)LiThe fighting ability after the plurality of function chains are connected in parallel is shown in equation (8) as the resistance of each function chain.
It is understood that in other embodiments, the second combat capability evaluation model is directly used to calculate the combat capability composite index of the weaponry systems combat network without comparing the number of functional chains to a preset threshold.
It should be noted that, in the process of evaluating the fighting capacity of the weaponry system, the foothold of the system fighting capacity evaluation is the future equipment development plan, and the requirement capacity constraint based on the future mission task is mainly considered, so that the specific target defense capacity of the enemy can not be considered in the process of evaluating the system fighting capacity.
In the embodiment, based on a complex network thought, a war capability evaluation index, namely a war capability comprehensive index, of a weapon equipment system based on a function chain is provided to aggregate system capability, and the thought of the function chain is adopted, so that the method can be applied to analysis of the weapon equipment system capability in a weapon equipment use stage, and can also be applied to the condition that only capability needs exist in an equipment development planning stage and target equipment is not clear.
And step S30, acquiring the comprehensive index of the fighting capacity before and after each weapon and equipment combination is added into the weapon and equipment system fighting network, and calculating the system contribution rate of each weapon and equipment combination based on the cost constraint condition.
The calculation formula of the system contribution rate is as follows:
in the formula (9), the reaction mixture,
for weaponry assembly VxThe rate of contribution of the system (2),
for joining weaponry combination VxThe combined operational capacity index of the weapon and equipment system operational network facing mission task, ESFor not adding weaponry combination VxThe combined index of the operational capacity of the weapon equipment system operational network facing mission task, cost (V)x) For weaponry assembly VxThe cost of (a) of (b),
the total cost of all weaponry in the network is battled for the weaponry system. The numerator portion of equation (9) is the conventional system contribution ratio calculation equation, and the denominator portion is the cost of the combination of weapons added relative to all weapons of the overall weapons systems.
Understandably, the operational capability comprehensive index E of the old weaponry system operational network is obtained by the operational capability evaluation method based on the function chain of the step S20SThat is, the fighting capacity of the weapon equipment system fighting network without adding weapon equipment combination is embodied in mission-oriented task, then a new weapon equipment combination is added into the weapon equipment system, and the weapon equipment system fighting network added with the new weapon equipment combination is reconstructed to obtainA new weaponry systems combat network is obtained, such as the weaponry systems combat network shown in fig. 4, where 4 weapons are newly added to fig. 4 and 6 weapons are originally added to fig. 4. Finally, the operational capability comprehensive index of the new operational network of the weapon equipment system is obtained through the functional chain-based assessment method of the operational capability of the weapon equipment system of the step S20
And calculating the contribution rate of the added weapon equipment combination to the weapon equipment system through a system contribution rate calculation formula based on the cost constraint condition.
In the embodiment, when the contribution rate of the weapon and equipment combination in the weapon and equipment system is analyzed, the contribution effect of the weapon and equipment combination to be developed on the weapon and equipment system is analyzed by analyzing the investment of the same cost, and the method is more suitable for development planning of the weapon and equipment compared with a system contribution rate calculation method without considering cost factors.
And step S40, constructing a weapon and equipment combination selection model according to a preset objective function and preset constraint conditions, and acquiring a target weapon and equipment combination from a weapon and equipment system combat network through the weapon and equipment combination selection model.
In this embodiment, after the system contribution rate of the weaponry system combination is calculated on the basis of the weaponry system combat network, the weaponry system needs to be placed in the system vision to analyze and optimize the combination selection of the weaponry system, that is, the weaponry combination with the largest contribution rate for improving the operational capability of the whole weaponry system is found out from the whole weaponry system and is used as a target weaponry combination to perform development planning, so that the operational capability of the future weaponry system is maximized.
The preset objective function is specifically expressed as:
in the formula (10), the first and second groups,
for weaponry assembly VxThe system contribution to the weaponry systems operational network operational capacity, argmax () is a function used to optimize the problem.
Understandably, for a set of possible weaponry combinations
Subject to different constraints such as availability of resources, cost budget, kind of capacity requirements and technical maturity. In the present embodiment, the preset constraints are set as a cost budget constraint and a capacity requirement constraint.
For a cost budget constraint, when the cost of a combination of weaponry does not exceed a budget limit, the combination of weaponry is determined to be a viable combination of weaponry, and thus the set of viable combinations of weaponry available based on the cost budget constraint can be expressed as:
in formula (11), C (V)x) For weaponry assembly VxB is the budget limit value.
For a capability requirement constraint, when a combination of weaponry meets the energy requirement in k, the combination of weaponry is determined to be a feasible combination of weaponry, and thus the set of feasible combinations of weaponry available based on the capability requirement constraint can be expressed as:
in formula (12), CAk(Vx) For weaponry assembly VxOf the kth capability level, NkIs the kth capacity requirement.
In this embodiment, a set of feasible weaponry combinations is first obtained from all weaponry combinations using preset constraints (including cost budget constraints and capacity requirement constraints)
Then combining the set from feasible weaponry using objective functions
And acquiring the weapon equipment combination which improves the system contribution rate of the network fighting capability of the weapon equipment system to the greatest extent. It can be understood that when the system contribution rate promotion effects of a plurality of weapon equipment combinations on the fighting capacity of the weapon equipment system fighting network are consistent, the weapon equipment combinations can be simultaneously used as target weapon equipment combinations. .
In summary, in the method for selecting a combination of weaponry and equipment based on a system contribution rate according to the embodiment, an equipment system combat network is first constructed based on the idea of a function chain, a combined operational capability index of the equipment system combat network is then obtained based on the idea of the function chain, a capability contribution rate of the combination of weaponry and equipment to the equipment system is calculated based on the combined operational capability index, and finally a weapon and equipment combination selection model is constructed on a preset constraint condition and a preset objective function to obtain a target weapon and equipment combination. Compared with the existing method for evaluating the system contribution rate of the weaponry, the method for evaluating the system contribution rate provided by the embodiment calculates the system contribution rate of the weaponry combination by calculating the comprehensive combat capability change condition of the weaponry combination added into the old weaponry system combat network and considering the equipment cost factor, and can meet the system contribution rate evaluation requirement of the heterogeneous weaponry combination. Secondly, compared with the existing weapon equipment combination selection method for the weapon equipment system, the weapon equipment combination selection method based on the system contribution rate of the embodiment finds out the weapon equipment combination which maximally improves the operational capability of the whole weapon equipment system under the preset constraint condition based on the system contribution rate of the equipment system operational network and the weapon equipment combination, improves the simplicity and reliability of weapon equipment combination selection, and effectively reduces the feasible combination space of the weapon equipment.
In other embodiments, in the process of selecting the combination of the weaponry, the mission-oriented capability values of the weaponry to be developed are calculated, and the combined weaponry combinations are screened by using preset constraint conditions to obtain the weaponry combinations (also called feasible weaponry combinations) meeting the constraint conditions, so that the problem that the data volume is increased due to the addition of infeasible weaponry combinations and the calculation efficiency is reduced can be solved; and then respectively calculating the operational capacity of the feasible weapon equipment combination added into the old weapon equipment system operational network, namely respectively calculating the operational capacity of each functional chain by using a calculation formula (1) of the operational capacity of a single functional chain, and calculating the operational capacity comprehensive index of the weapon equipment system operational network by using a calculation formula (8) of a second operational capacity evaluation model. And finally, calculating the influence of the feasible weapon equipment combination on the fighting capacity of the weapon equipment system when the feasible weapon equipment combination is oriented to mission according to a calculation formula (9) of the system contribution rate, namely the variation degree of the fighting capacity of the weapon equipment system under the condition of existence of the feasible weapon equipment combination, and sequencing the weapon equipment combinations with the preset number according to the system contribution rate.
In addition, as shown in fig. 5, the implementation of the present invention further provides a weapon equipment combination selection system based on system contribution rate, the system specifically includes a network construction module 110, a capability evaluation module 120, a contribution rate evaluation module 130, and a combination selection module 140, and the detailed description of each functional module is as follows:
and the network construction module 110 is used for constructing a weaponry system combat network model based on the thought of the function chain.
And the capability evaluation module 120 is used for acquiring a comprehensive index of the operational capability of the weaponry system operational network based on the thought of the function chain.
And the contribution rate evaluation module 130 is configured to obtain the comprehensive index of the combat capability before and after each weaponry combination joins the weaponry system combat network, and calculate the system contribution rate of each weaponry combination based on a cost constraint condition.
And the combination selection module 140 is configured to construct a weapon and equipment combination selection model according to a preset objective function and preset constraint conditions, and acquire a target weapon and equipment combination from the weapon and equipment system combat network through the weapon and equipment combination selection model.
Further, the network construction module 110 includes a classification unit, an information obtaining unit, a network construction unit and a network description unit, and the detailed description of each functional unit is as follows:
and the classification unit is used for classifying the weaponry entities into reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities according to different roles played by each weaponry entity in the weaponry system in the battle.
And the information acquisition unit is used for acquiring the interaction information among the reconnaissance equipment entities, the decision equipment entities and the attack equipment entities.
And the network construction unit is used for abstracting the reconnaissance type equipment entities, the decision type equipment entities and the attack type equipment entities into equipment nodes, abstracting the interactive information into edges and constructing a weapon equipment system combat network.
And the network description unit is used for mathematically describing the weaponry system combat network.
Further, as shown in fig. 6, the capability evaluation module 120 includes a function chain definition unit 121, an index architecture construction unit 122, a requirement determination unit 123, a function chain capability evaluation unit 124, and a comprehensive capability evaluation unit 125, and the detailed description of each function unit is as follows:
a function chain definition unit 121, configured to define a function chain, where the function chain is defined by interaction of scout, decision and percussion equipment entities in the weaponry system to form a link capable of performing a combat function.
An index system construction unit 122 for constructing a capability index system of the weaponry.
A requirement determination unit 123 for determining an errands task, and acquiring a capability requirement for completing the errands task based on a capability index system of the weaponry.
And a function chain capacity evaluation unit 124 for calculating the fighting capacity of the single function chain according to the capacity requirement for completing the mission task and the existing capacity of the weapon equipment corresponding to all equipment nodes contained in the single function chain.
And the comprehensive capacity evaluation unit 125 is used for acquiring all the function chains in the weaponry system combat network, and acquiring a combat capacity comprehensive index of the weaponry system combat network through a combat capacity evaluation model matched with the number of the function chains so as to obtain the combat capacity of the weaponry system.
Further, the contribution rate evaluation module 130 includes a detection unit, a first calculation unit, and a second calculation unit, and the detailed description of each functional unit is as follows:
and the detection unit is used for acquiring all the functional chains in the weaponry system combat network and detecting whether the number of the functional chains is less than a preset threshold value.
The first computing unit is used for obtaining the operational capability comprehensive index of the weaponry system operational network through a first operational capability evaluation model when the number of the functional chains is less than a preset threshold value, wherein the first operational capability evaluation model is as follows:
wherein E is the comprehensive index of the operational capacity of the operational network of the weapon equipment system,
and m is the number of the functional chains for the operational capacity of the ith functional chain.
The second calculation unit is used for obtaining the comprehensive operational capacity index of the weaponry system operational network through a second operational capacity evaluation model when the number of the functional chains is greater than or equal to a preset threshold value, wherein the second operational capacity evaluation model is as follows:
in summary, the system contribution rate-based weapon and equipment combination selection system provided in this embodiment is used to implement the corresponding system contribution rate-based weapon and equipment combination selection method in the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A weapon equipment combination selection method based on system contribution rate is characterized by comprising the following steps:
constructing a weapon equipment system combat network model based on the thought of a functional chain;
acquiring a comprehensive operational capacity index of the operational network of the weapon equipment system based on the thought of the function chain;
acquiring the comprehensive index of the combat capability before and after each weapon and equipment combination is added into the combat network of the weapon and equipment system, and calculating the system contribution rate of each weapon and equipment combination based on a cost constraint condition;
and constructing a weapon and equipment combination selection model according to a preset objective function and preset constraint conditions, and acquiring a target weapon and equipment combination from the weapon and equipment system combat network through the weapon and equipment combination selection model.
2. The method for selecting a combination of weaponry systems based on system contribution rate as claimed in claim 1 wherein said function chain based concept building weaponry systems combat network model comprises:
dividing the weapon equipment entities into reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities according to different roles played by each weapon equipment entity in a weapon equipment system in a battle;
acquiring interaction information among reconnaissance equipment entities, decision equipment entities and attack equipment entities;
abstracting reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities into equipment nodes, abstracting interactive information into edges, and constructing a weaponry system combat network;
and mathematically describing the weaponry system combat network.
3. The method for selecting a combination of weaponry equipments based on system contribution rate as claimed in claim 1 wherein said obtaining a combined operational capability index for a network of weaponry systems for combat based on said functional chain concept comprises:
the functional chain is defined, and in order to complete a specific combat mission, reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities in a weapon equipment system form a link capable of exerting combat capability through interaction;
constructing a capability index system of the weaponry;
determining a mission task, and acquiring a capacity requirement for completing the mission task based on a capacity index system of the weapon equipment;
calculating the fighting capacity of the single function chain according to the capacity requirement for completing the mission task and the existing capacity of weapon equipment corresponding to all equipment nodes contained in the single function chain;
and acquiring all the functional chains in the weaponry system combat network, and acquiring a combat capability comprehensive index of the weaponry system combat network through a combat capability evaluation model matched with the number of the functional chains so as to acquire the combat capability of the weaponry system.
4. The method of claim 3, wherein the operational capability of the single functional chain is calculated by the formula:
EL＝∏ES×ΠED×ΠEB，
wherein ,ELFor the operational capacity of a single functional chain, ES、ED and EBAnd the reconnaissance equipment node, the decision equipment node and the attack equipment node which are contained in a single functional chain respectively face the fighting capacity embodied by the mission task.
5. The system contribution rate-based weaponry combination selection method of claim 4 wherein obtaining all of the function chains in the weaponry system operations network and obtaining a combined operational capability index for the weaponry system operations network via an operational capability assessment model that matches the number of function chains comprises:
acquiring all the function chains in the weapon equipment system combat network, and detecting whether the number of the function chains is less than a preset threshold value;
when the number of the functional chains is smaller than a preset threshold value, obtaining a comprehensive operational capacity index of the weapon equipment system operational network through a first operational capacity evaluation model, wherein the first operational capacity evaluation model is as follows:
wherein E is the comprehensive index of the operational capacity of the operational network of the weapon equipment system,
the fighting capacity of the ith functional chain is shown, and m is the number of the functional chains;
when the number of the functional chains is larger than or equal to a preset threshold value, obtaining a comprehensive operational capacity index of the operational network of the weapon equipment system through a second operational capacity evaluation model, wherein the second operational capacity evaluation model is as follows:
6. the method of claim 1, wherein the system contribution rate is calculated by the formula:
wherein ,
for weaponry assembly VxThe rate of contribution of the system (2),
for joining said weaponry combination VxThe combined operational capacity index of the weapon and equipment system operational network facing mission task, ESFor not incorporating said weaponry combination VxThe combined index of the operational capacity of the weapon equipment system operational network facing mission task, cost (V)x) For said weaponry assembly VxThe cost of (a) of (b),
the total cost of all weaponry in the network is battled for the weaponry system.
7. The method of claim 1, wherein the predetermined objective function is:
wherein argmax () is a function for the optimization problem;
the preset constraints include cost budget constraints and capacity requirement constraints.
8. The method of claim 7, wherein the set of possible weaponry combinations that are obtained based on the cost budget constraint is:
wherein ,
for a set of feasible weaponry combinations, C (V)x) For said weaponry assembly VxB is the budget limit value;
the set of possible weaponry combinations obtained from the capacity demand constraints is:
wherein ,CAk(Vx) For said weaponry assembly VxOf the kth capability level, NkIs the kth capacity requirement.
9. A system contribution rate based weaponry combination selection system, comprising:
the network construction module is used for constructing a weapon equipment system combat network model based on the thought of the functional chain;
the capability evaluation module is used for acquiring a comprehensive operational capability index of the operational network of the weapon equipment system based on the thought of the function chain;
the contribution rate evaluation module is used for acquiring the comprehensive index of the fighting capacity before and after each weapon and equipment combination is added into the fighting network of the weapon and equipment system, and calculating the system contribution rate of each weapon and equipment combination based on a cost constraint condition;
and the combination selection module is used for constructing a weapon and equipment combination selection model according to a preset objective function and a preset constraint condition, and acquiring a target weapon and equipment combination from the weapon and equipment system combat network through the weapon and equipment combination selection model.
10. The system contribution rate-based weaponry combination selection system of claim 9 wherein the capability assessment module includes:
the functional chain definition unit is used for defining a functional chain, and the functional chain is defined as a link which can exert the fighting capacity through interaction of reconnaissance type equipment entities, decision type equipment entities and attack type equipment entities in a weapon equipment system in order to complete a specific fighting task;
the index system building unit is used for building a capability index system of the weaponry;
the requirement determining unit is used for determining a mission task and acquiring the capacity requirement for completing the mission task based on the capacity index system of the weapon equipment;
the functional chain capacity evaluation unit is used for calculating the fighting capacity of the single functional chain according to the capacity requirement for completing the mission task and the existing capacity of the weapon equipment corresponding to all equipment nodes contained in the single functional chain;
and the comprehensive capacity evaluation unit is used for acquiring all the functional chains in the weaponry system combat network, and acquiring a combat capacity comprehensive index of the weaponry system combat network through a combat capacity evaluation model matched with the number of the functional chains so as to acquire the combat capacity of the weaponry system.
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