Killer chain rapid construction method based on supply and demand vector matching

Abstract

The invention provides a supply and demand vector matching-based killing chain rapid construction method, which mainly comprises the following steps of: obtaining a task target, and carrying out demand vector modeling; performing supply vector modeling according to the specific performance of each equipment platform; the obtained demand vector and supply vector are matched to obtain an effective killing chain combination, and the matching mode is to screen out a combination scheme set meeting conditions according to the set conditions; for the obtained combination scheme set, calculating the energy efficiency of each combination scheme according to a set strategy, and selecting the combination scheme with the optimal performance; and executing a task by using the obtained optimal combination scheme and monitoring, and automatically releasing resources after the task is finished. Through simulation verification, according to the method, for multiple targets, under the condition that the target troop combat formation, the target time sensitivity and the damage strategy are known, a killing net dynamic combination scheme meeting the combat time sensitivity requirement and the damage requirement can be rapidly constructed.

Description

Technical Field

[0001] The present invention belongs to the technical field of combat mission planning, and in particular relates to a kill chain rapid construction method based on supply and demand vector matching. Background Art

[0002] At present, there are methods that can reduce the precision strike time of time-sensitive targets (referring to targets that have already or will soon pose a threat to friendly forces, or targets with extremely high strike value and are fleeting) to less than 2.5 minutes by relying on information advantages, basically achieving the effect of destruction upon discovery. Therefore, it is necessary to develop research on the rapid construction and dynamic reorganization of kill networks against time-sensitive targets. Under the conditions that the combat formation of the target troops and the time sensitivity and damage strategy of the targets are known, the strategy for striking time-sensitive targets should be clarified; under the constraints of the reaction time of the combat system, a dynamic combination scheme of the kill network that meets the time sensitivity and damage requirements of the combat should be quickly constructed. The current combat information system has a system demand for the construction and reorganization of the kill network of multiple weapon platforms, and the relevant theories have not yet formed a practical combat function module. It is still necessary to adopt a feasible technical approach to realize the methods and technologies for the rapid construction and reorganization of the kill network of multiple weapon platforms. Summary of the invention

[0003] The purpose of the present invention is to propose a method for rapidly constructing a kill chain based on supply and demand vector matching based on rapid resource integration for impromptu time-sensitive targets and strike missions, so as to achieve rapid reorganization of multiple platforms.

[0004] The technical solution adopted by the present invention is:

[0005] A method for quickly constructing a kill chain based on supply and demand vector matching includes the following steps:

[0006] S1. Obtain the task objectives and perform demand vector modeling, specifically decomposing the task objectives into multiple performance requirements for specific modules in the order from overall to local, thereby converting the overall requirements into multiple performance requirements for specific execution units;

[0007] S2. Based on the specific performance of each equipment platform, supply vector modeling is performed, specifically, the performance indicators of the execution units of each equipment platform are converted into supply vectors in the format of the demand vector in S1;

[0008] S3. Match the obtained demand vector and supply vector to obtain an effective kill chain combination, wherein the matching method is to screen out a set of combination solutions that meet the conditions according to the set conditions;

[0009] S4. For the obtained set of combination schemes, calculate the energy efficiency of each combination scheme according to the set strategy, thereby obtaining a priority list, and select the combination scheme with the best performance;

[0010] S5. Use the obtained optimal combination solution to execute the task and monitor it, and automatically release the resources after the task is completed.

[0011] Furthermore, the method of S1 is: according to different types of task objectives, the corresponding types are transformed and disassembled. Specifically, the task objectives are first expressed in the form of energy efficiency, and then the total energy efficiency is divided into a combination of multiple different capabilities. Finally, each capability is expressed in the form of a specific demand indicator, so as to obtain the final demand vector. The demand vector is defined as Q0, and the specific expression is:

[0012] Q0=[q 0h1 , ..., q 0ha ,q 0r1 , ..., q 0rb ,q 0z1 , ..., q 0zc , ..., q 0s1 , ..., q 0sd ]

[0013] =[q 01 , ..., q 0i , ..., q 0n ]

[0014] Among them, q 0h1 , ..., q 0ha is the first capacity demand indicator, q 0r1 , ..., q 0rb is the second capability demand indicator, q 0z1 , ..., q 0zc is the third capability demand indicator, q 0s1 , ..., q 0sd is the sth capacity demand indicator, s is a natural number greater than 3, q 0i Represents the value of the i-th indicator in the demand vector.

[0015] Furthermore, the method of S2 is: construct the supply vector of the specific performance of each equipment platform according to the format of Q0, and the supply vector is expressed as Q k :

[0016] Q k =[q kh1 , ..., q kha ,q kr , ..., q krb ,q kz1 , ..., q kzc , ..., q ks , ..., q ksd ]

[0017] =[qk1 , ..., q ki , ..., q kn ]

[0018] where q kh1 , ..., q kha is the first capability indicator, q kr1 , ..., q krb is the second capability indicator, q kz1 , ..., q kzc For the third ability, q ks , ..., q ksd is the sth capability indicator, q ki represents the value of the i-th indicator in the supply vector; when the corresponding platform does not have Q0 types of a certain demand indicator, Q k The value of the corresponding indicator in is set to 0.

[0019] Furthermore, in S2, Q is generated k Before that, the performance index vector P of each equipment platform is generated based on prior knowledge k :

[0020] P k =[p k1 , p k2 , ..., p ki ,...]k=1,2,...,m

[0021] Where m is the number of platforms, p ki represents the i-th performance indicator of platform k;

[0022] Assuming that the equipment platform k includes equipment with firepower strike capability, equipment with reconnaissance capability, equipment with command and control capability, and equipment with support capability, then P k =[p k1 , p k2 , p k3 , p k4 ], p k1 ~p k4 They are firepower strike capability index, reconnaissance capability index, command capability index and cost capability index;

[0023] Then according to Q0, P k Convert to Q k , and in the conversion process, P k Elements that exist in Q but not in Q0, Q k Not considered, there is in Q0 but P k Elements that do not exist in Q k The value of this element is set to zero.

[0024] Furthermore, the specific method of S3 is: to match the "supply and demand" capabilities under the conditions set in S2, set the firepower strike capability indicator as the highest priority, and match multiple firepower platforms that meet the demand indicators.

[0025] Among them, strategy matching and ammunition allocation are important steps to calculate the resources that meet the firepower strike capability index, and can be set as reference indicators. Strategy matching is to decompose the strike capability into strike accuracy, strike distance, and strike range, and then divide Q0 and Q k Matching is carried out, specifically, by matching the capability indicators of each equipment platform with the demand indicators, multiple platforms that meet the demand indicators in terms of strike accuracy, strike distance, and strike range are selected; ammunition allocation is the supply allocation of firepower strike resources of the platform selected by strategy matching, first calculating the ammunition consumption required for a certain type of ammunition under a certain damage requirement, then calculating the number of nodes that need to be scheduled in the existing firepower strike nodes of available ammunition types, and finally fairly allocating them to the corresponding firepower strike nodes;

[0026] Similarly, the remaining demand indicators are matched in turn, and the corresponding multiple platforms are selected respectively, and then combined according to the principle of satisfying the demand performance indicators after mutual combination, so as to form a corresponding kill chain combination solution set after combining multiple platforms.

[0027] Furthermore, when performing strike distance matching, the distance between the equipment platform and the target is calculated to determine whether it is within the strike range:

[0028]

[0029] Where R represents the radius of the earth, which is 6378.137 km, a represents the difference in latitude between two points, b represents the difference in longitude between two points, Lat1 and Lat2 represent the longitude and latitude coordinates of the two points respectively;

[0030] By using Q k By comparing the indicators describing the strike distance with S, we can determine the equipment platform that meets the requirements;

[0031] The judgment of other indicators is similar.

[0032] Furthermore, when allocating ammunition, we must first calculate the ammunition consumption required for a certain type of ammunition under a certain degree of damage requirement.

[0033] Ammunition consumption calculation:

[0034]

[0035] where λ ExpectedDamage represents the expected damage, λ SingleDamage Indicates the damage of a single ammunition.

[0036] The target damage data is calculated as follows:

[0037]

[0038] where w max The maximum damage data for different target types.

[0039] Furthermore, in S4, if the optimal strategy is set to be time optimal, a kill chain combination scheme with the shortest reaction time is selected from the obtained kill chain combination scheme set; if the optimal strategy is set to be firepower optimal, a kill chain combination scheme with the largest firepower index is selected from the obtained kill chain combination scheme set.

[0040] Furthermore, when the optimal strategy is time optimal, the reaction time is set to the sum of the link building time and the weapon reaction time, where the link building time is defined as T BK :

[0041] T BK =T base ×T factor

[0042] T base =2×(n f -1)+10×(n p -1)

[0043]

[0044] Where T base is the base time, T factor is the chain building factor, n f is the number of firepower nodes, n p The number of platforms, x is the fire pointing distance and the detection pointing distance.

[0045] Furthermore, when the optimal strategy is the optimal firepower, the firepower index f x Set to:

[0046] f x =λ SingleDamage ×n consume ×B f

[0047] where λ singleDamage is the damage of a single ammunition, n consume is the ammunition consumption, base B f =π×25 2 .

[0048] The beneficial effect of the present invention is that it has the ability to quickly integrate resources for emergency and time-sensitive targets and strike missions. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the overall process of the present invention.

[0050] Figure 2 This is a schematic diagram of the demand hierarchy model.

[0051] Figure 3 Schematic diagram of the target damage calculation process. DETAILED DESCRIPTION

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] The present invention provides a method for quickly constructing a kill chain based on supply and demand vector matching, such as Figure 1 As shown, the following steps are included:

[0054] Step 1: Based on the task requirements, model the capability "demand" vector and generate the indicator demand vector Q0.

[0055] Decompose the superior combat mission or target strike information according to the combat module effectiveness hierarchy model, such as Figure 2 As shown, the combat mission is decomposed in the order of mission requirement → capability requirement → index requirement, forming a performance requirement vector required by the combat module to meet the combat mission.

[0056] The indicator requirement vector based on combat missions is represented by Q0, which is defined as:

[0057] Q0=[q 0h1 , ..., q 0ha ,q 0r1 , ..., q 0rb ,q 0z1 , ..., q 0zc ,q 0s1 , ..., q 0sd ]

[0058] =[q 01 , ..., q 0i , ..., q 0n ]

[0059] where q 0h1 , ..., q 0ha For firepower strike capability, q 0r1 , ..., q 0r For reconnaissance capability, q 0z1 , ..., q 0zc For command ability, q 0s1 , ..., q 0sd For cost and other capabilities, q 0i Represents the value of the i-th indicator in the indicator demand vector.

[0060] The decomposition process is different for different combat missions. As long as the specific combat missions are broken down step by step, they can be decomposed into the requirements for specific performance indicators of the combat modules.

[0061] The process of generating mission requirement vector data is the process of matching capability maps with the characteristics of troop equipment. The purpose is to select equipment that meets the strike elements, and to classify them according to firepower, reconnaissance, and command, and finally derive basic strike requirement conditions. Combined with target data, capability map modules, and strength data, the target strike mission capability requirement vector is generated.

[0062] Step 2: Based on the equipment capability map, model the equipment "supply" vector and generate the equipment capability vector Q k Equipment capability is mainly composed of multiple weapon platforms, each of which contains equipment with firepower strike capability, equipment with reconnaissance capability, equipment with command and control capability, and equipment with support capability. The equipment capability vector Q is composed according to the above capabilities. k , decomposed into several main indicators such as firepower factors, accuracy, strike range, and ammunition type, the calculation formula for the comprehensive firepower strike capability is as follows:

[0063] Q k =W F F+W A A+W R R+W T

[0064] Among them, F represents the firepower index, W represents the corresponding weight coefficient, A represents accuracy, R represents the strike range, and T represents the ammunition type. Different ammunition has different weight coefficients.

[0065] The performance index vector form of each weapon platform that constitutes the combat module is expressed as follows:

[0066] P k =[p k1 , p k2 , ..., p ki ,...]k=1,2,...,m

[0067] Where m is the number of platforms, p ki represents the i-th performance index of platform k. For the purpose of index vector operation, P k Reconstruct a vector according to the order of performance indicators in Q0, denoted as Q k .P k The conversion rules to Q0 are as follows:

[0068] ①For P k Elements that exist in Q but not in Q0, Q k Not considered;

[0069] ② For Q0 that exists but P k Elements that do not exist in Q k The value of this element is set to zero.

[0070] The transformed vector Q k The details are as follows:

[0071] Q k =[q kh1 , ..., q kha ,q kr1 , ..., q krb ,q kz1 , ..., q kzc ,q ks1 , ..., q ksd ]

[0072] =[q k1 , ..., q ki , ..., q kn ]

[0073] where q kh1 , ..., q kha For firepower strike capability, q kr , ..., q krb For reconnaissance capability, q kz1 , ..., q kzc For command ability, q ks , ..., q ksd For cost capability.

[0074] Step 3: Perform "supply and demand" vector matching to generate a kill chain combination solution set. The main processing flow of "supply and demand" capability matching based on the superior mission requirement capability vector and the weapon system capability vector sets the matching firepower strike capability index as the highest priority. Among them, strategy matching and ammunition allocation are important steps in calculating resources that meet the firepower strike capability index. Based on the knowledge map (prior knowledge) of the target and weapon performance, building a calculation model for threat degree, target value, and degree of damage is also an important part of the supply and demand vector matching.

[0075] The strategy matching calculation mainly includes two aspects: ① Calculate the distance between the platform and the target, and match the strategy according to the strike distance. ② Calculate the weapon type matching, match the weapons in the arsenal with the weapon types in the strategy, and obtain a strategy that meets the conditions.

[0076] ① Calculate the distance between the platform and the target to determine whether it is within the strike range.

[0077]

[0078] Where R represents the radius of the earth, which is 6378.137 km, a represents the difference in latitude between two points, and b represents the difference in precision between the two points. Lat1 and Lat2 represent the longitude and latitude coordinates of the two points respectively.

[0079] ② Determine whether the strategy type is the same as the weapon type. If they are the same, add them to the strategy list.

[0080]

[0081] Where St and Tt represent the weapon type and strategy type respectively.

[0082] The ammunition allocation calculation mainly includes three aspects: ① Calculate the ammunition consumption required for a certain type of ammunition under a certain damage requirement; ② Calculate the number of nodes that need to be scheduled among the existing available ammunition types and firepower nodes; ③ Fairly distribute them to the corresponding firepower nodes.

[0083] Ammunition consumption calculation:

[0084]

[0085] where λ ExpectedDamage represents the expected damage, λ singleDamage represents the damage of a single ammunition, λ SingleDamage Calculate as Figure 3 shown.

[0086] The target damage data is calculated as follows:

[0087]

[0088] where w max It is the maximum damage data of different target types. As the distance between the gun and the target increases, the damage probability gradually decreases, and the damage probability at the maximum range drops to 0.67 of the maximum damage probability. The maximum damage probability values ​​between different target types and firepower types are theoretically calculated based on the ammunition dispersion characteristics and killing radius. At the same time, the theoretical calculation value can be empirically corrected based on historical strike data and damage results.

[0089] Calculation of the number of scheduling weapon nodes:

[0090]

[0091] Where ceil(x) means rounding up x, n pill Indicates the ammunition consumption, n node Indicates the number of nodes of the same type.

[0092] The allocation sequence calculation is as follows:

[0093] S={avg,avg,...,avg,remain}

[0094] Where avg represents the ammunition value of each node, remain represents the remaining amount, and the calculation is as follows:

[0095]

[0096] Among them, comsume represents the ammunition consumed by this allocation, need represents the total number of nodes, and margin i Represents the remaining ammunition in the i-th weapon sequence.

[0097] The threat level is calculated as follows: speed and distance are considered to calculate the threat level, and the speed and distance are scored to unify the dimensions of the two. The scoring range is from -10 to 10.

[0098]

[0099] Where v represents the velocity of the target moving toward the platform, S v Indicates the speed threat score. In order to obtain the distance threat score, the difference between the target attack distance and the distance between the target and the platform is used to score.

[0100]

[0101] Where d represents the target attack distance minus the distance between the target and the platform position, S d Represents the score of the target distance. After obtaining these two scores, the two scores are weighted and summed.

[0102] S=C v S v +C d S d

[0103] C v +C d =1

[0104] S represents the comprehensive score of speed and distance, C v represents the speed score weighting coefficient, C d Distance score weighting coefficient. Finally, the following function model is used to calculate the target's threat level, ranging from 0 to 1.

[0105]

[0106] where t maxrepresents the maximum threat level of the target, m represents the impact factor of the target type on the threat level (for different target types, its "basic" threat level at different speeds or distances is different, here m is used to represent the degree of increase in threat level), and t represents the target threat level.

[0107] The value V of the target needs to be defined in advance based on prior knowledge.

[0108] The damage degree is calculated as follows:

[0109] D=R×A×(1-D f )

[0110] Where R represents the strike range, which needs to be calculated based on the strike radius of the ammunition; A represents the damage coefficient of the ammunition; D f Indicates the protection capability of the target, which needs to be judged based on the target type.

[0111] Step 4: Calculate the combat effectiveness of the kill chain under different combinations, screen the kill chain combination with the best performance, and select the kill chain combination with the shortest reaction time and the largest firepower index. The reaction time and firepower index are calculated as follows.

[0112] ① Reaction time = link building time + weapon reaction time, where the weapon reaction time is obtained by querying the graph data. Link building time T BK :

[0113] T BK =T base ×T factor

[0114] Where T base Base time, unit (seconds); T factor Chain building factor.

[0115] Base time T base The calculation is as follows:

[0116] T base =2×(n f -1)+10×(n p -1)

[0117] where n f Indicates the number of firepower nodes; n p Number of platforms.

[0118] T factor The calculation of the chain building factor is as follows:

[0119]

[0120] Where x represents the fire indication distance + detection distance, unit (kilometer).

[0121] ② The firepower index is calculated as follows:

[0122] f x =λ SingleDamage ×n consume ×B f

[0123] where λ SingleDamage Single ammunition damage; n consume Ammunition consumption; base B f =π×25 2 .

[0124] The potential index is calculated as follows:

[0125] d x =λ SingleDamage ×0.5×(n quota +n remain )×B f

[0126] where n quota Ammunition application quota; n remain The amount of ammunition remaining.

[0127] The optimal calculation of reaction time and firepower is shown in the following formula:

[0128] RT = min(T1, T2, ..., T n )

[0129] FT = max(F1, T2, ..., F n )

[0130] Where T n represents the reaction time of the nth solution, F n Represents the firepower index of the nth solution.

[0131] Step 5: Monitor the kill chain closed loop status and automatically release combat resources after the mission is completed. The mission status can be:

[0132]

[0133] The conditions for resource release are calculated as follows:

[0134]

[0135] In the formula, when the task has been completed, the resources will be released, forming a closed loop state of the kill chain.

[0136] The present invention is further described in detail below in conjunction with embodiments.

[0137] Example

[0138] In this embodiment, the equipment platform is set to use 30 firepower weapons, 5 reconnaissance weapons, 4 command weapons, and 4 support equipment. The mission targets are of four types, namely HIMARS, tanks, reconnaissance vehicles, and buildings.

[0139] The damage requirements for HIMARS, tanks, reconnaissance vehicles, and buildings are 0.84, 0.83, 0.83, and 0.81 respectively. The corresponding longitude and latitude coordinates are as follows:

[0140] P h (Lon h ,Lat h )=P h (120.1419°,30.1122°),

[0141] P t (Lon t ,Lat t )=P t (120.1405°,30.1122°),

[0142] P z (Lon z ,Lat z )=P z (120.1285°,30.0997°),

[0143] P j (Lon j ,Lat j )=P j (120.1417°,30.1123°).

[0144] The target information is shown in Table 1 below:

[0145] Table 1 Target information table

[0146] Target Type Threat Target Name Damage Requirements Target Number Longitude (°) Latitude (°) Himas 94.95％ Himas 84％ 11011 120.1419 30.11224 tank 55.13％ tank 83％ 11001 120.14058 30.1122 Reconnaissance vehicle 29.26％ Reconnaissance vehicle 83％ 11021 120.1285 30.0997 building 20％ building 81％ 11071 120.1417 30.1123

[0147] Firepower equipment information is shown in Table 2:

[0148] Table 2 Firepower equipment information

[0149]

[0150]

[0151] The reconnaissance equipment information table is shown in Table 3:

[0152] Table 3 Reconnaissance equipment information

[0153]

[0154] The command equipment information table is shown in Table 4:

[0155] Table 4 Command equipment information table

[0156]

[0157] The support equipment information table is shown in Table 5:

[0158] Table 5 Support equipment information table

[0159]

[0160] The firepower equipment capability information is shown in Table 6:

[0161] Table 6 Equipment capability information table

[0162]

[0163]

[0164] The reconnaissance equipment capability information is shown in Table 7:

[0165] Table 7 Reconnaissance equipment capability information

[0166]

[0167]

[0168]

[0169] Command equipment capability information is shown in Table 8:

[0170] Table 8 Equipment capability information

[0171]

[0172] The support equipment capability information is shown in Table 9:

[0173] Table 9 Support equipment capability information

[0174]

[0175] The target demand capacity data is shown in Table 10:

[0176] Table 10 Target demand capability data table

[0177]

[0178]

[0179] The following are the results of the multi-platform combination of the kill net for the four targets. For each target, there are two options: the optimal firepower and the optimal reaction time, and the firepower index and reaction time of each option are included.

[0180] The target HIMARS multi-platform combination plan is shown in Table 11:

[0181] Table 11 Target HIMARS multi-platform combination plan

[0182]

[0183]

[0184] Table 11 provides three options, including the optimal firepower option and the optimal response time option. The optimal firepower option provides three platforms: reconnaissance, firepower, and command. Since the ammunition supply is sufficient, there is no need to provide a support platform.

[0185] The target tank multi-platform combination scheme is shown in Table 12:

[0186] Table 12 Target tank multi-platform combination plan

[0187]

[0188] Table 12 provides two solutions, including the optimal firepower solution and the optimal reaction time solution. The optimal firepower solution provides one firepower platform, and the optimal reaction time solution provides two platforms: reconnaissance and firepower.

[0189] The multi-platform combination scheme of target reconnaissance vehicles is shown in Table 13:

[0190] Table 13 Target reconnaissance vehicle multi-platform combination plan

[0191]

[0192] Table 13 provides two solutions, including the optimal firepower solution and the optimal reaction time solution. Both the optimal firepower solution and the optimal reaction time solution provide three platforms: reconnaissance, firepower, and command.

[0193] The multi-platform combination scheme of the target building is shown in Table 14:

[0194] Table 14 Multi-platform combination scheme of target buildings

[0195]

[0196]

[0197] Table 14 provides two options, among which the optimal firepower and optimal response time belong to the same option. There is also an alternative option. The optimal firepower and response time option provides two platforms: reconnaissance and firepower.

[0198] The present invention provides a method for rapidly constructing a kill chain based on supply and demand vector matching. After simulation verification, the method can rapidly construct a dynamic combination scheme of a kill network that meets the combat time sensitivity and damage requirements for multiple targets under the conditions that the combat formation of the target forces, the target time sensitivity and the damage strategy are known.

Claims

1. A method for quickly building a kill chain based on supply and demand vector matching, characterized in that: The following steps are involved: S1. Obtain the task objectives and perform demand vector modeling, specifically decomposing the task objectives into multiple performance requirements for specific modules in the order from overall to local, thereby converting the overall requirements into multiple performance requirements for specific execution units; S2. Based on the specific performance of each equipment platform, supply vector modeling is performed, specifically, the performance indicators of the execution units of each equipment platform are converted into supply vectors in the format of the demand vector in S1; S3. Match the obtained demand vector and supply vector to obtain an effective kill chain combination, wherein the matching method is to screen out a set of combination solutions that meet the conditions according to the set conditions; S4. For the obtained set of combination schemes, calculate the energy efficiency of each combination scheme according to the set strategy, thereby obtaining a priority list, and selecting the combination scheme with the best performance; S5. Use the obtained optimal combination solution to execute the task and monitor it, and automatically release the resources after the task is completed.

2. According to claim 1, a method for quickly building a kill chain based on supply and demand vector matching is characterized in that: The method of S1 is: according to different types of task objectives, the corresponding types are transformed and disassembled. Specifically, the task objectives are first expressed in the form of energy efficiency, and then the total energy efficiency is divided into a combination of multiple different capabilities. Finally, each capability is expressed in the form of a specific demand indicator, so as to obtain the final demand vector. The demand vector is defined as Q0, and the specific expression is: Q0=[q 0h1 ..., q 0ha ,q 0r1 ..., q 0rb ,q 0z1 ..., q 0zc ..., q 0s1 ..., q 0sd ] =[q 01 ,...,q 0i ,...,q 0n ] Among them, q 0h1 , ..., q 0ha is the first capacity demand indicator, q 0r1 , ..., q 0rb is the second capability demand indicator, q 0z1 , ..., q 0zc is the third capability demand indicator, q 0s1 , ..., q 0sd is the sth capacity demand indicator, s is a natural number greater than 3, q 0i Represents the value of the i-th indicator in the demand vector.

3. The method for rapidly constructing a kill chain based on supply and demand vector matching according to claim 2, characterized in that: The method of S2 is: construct the supply vector of the specific performance of each equipment platform according to the format of Q0, and the supply vector is expressed as Q k : Q k =[q kh1 ,...,q kha ,q kr1 ,...,q krb ,q kz1 ,...,q kzc ,...,q ks1 ,...,q ksa ] =[q k1 ,...,q ki ,...,q kn ] where q kh1 , ..., q kha is the first capability indicator, q kr1 , ..., q krb is the second capability indicator, q kz1 , ..., q kzc For the third ability, q ks1 , ..., q ksa is the sth capability indicator, q ki represents the value of the i-th indicator in the supply vector; when the corresponding platform does not have Q0 types of a certain demand indicator, Q k The value of the corresponding indicator in is set to 0.

4. The method for rapidly constructing a kill chain based on supply-demand vector matching according to claim 3, characterized in that: In S2, Q is generated k Before that, the performance index vector P of each equipment platform is generated based on prior knowledge k : P k =[p k1 ,p k2 ,...,p ki ,...] k=1,2,...,m Where m is the number of platforms, p ki represents the i-th performance indicator of equipment platform k; Assuming that the equipment platform k includes equipment with firepower strike capability, equipment with reconnaissance capability, equipment with command and control capability, and equipment with support capability, then P k =[p k1 , p k2 , p k3 , p k4 ], p k1 ~p k4 They are firepower strike capability index, reconnaissance capability index, command capability index and cost capability index; Then according to Q0, P k Convert to Q k , and in the conversion process, P k Elements that exist in Q but not in Q0, Q k Not considered, there is in Q0 but P k Elements that do not exist in Q k The value of this element is set to zero.

5. The method for quickly building a kill chain based on supply and demand vector matching according to claim 4, characterized in that: The specific method of S3 is: when matching supply and demand capabilities, the firepower strike capability indicator is set as the highest priority, and multiple firepower platforms that meet the demand indicators are matched; Definition of strategy matching and ammunition allocation is a reference indicator for calculating the resources that meet the firepower strike capability indicator. Strategy matching is to decompose the firepower strike capability indicator into strike accuracy, strike distance, and strike range, and then divide Q0 and Q k Matching is carried out, specifically, by matching the capability indicators of each equipment platform with the demand indicators, multiple platforms that meet the demand indicators in terms of strike accuracy, strike distance, and strike range are selected; ammunition allocation is the supply allocation of firepower strike resources of the platform selected by strategy matching, specifically, first calculating the ammunition consumption required for a certain type of ammunition under a certain damage requirement, then calculating the number of nodes that need to be dispatched in the existing firepower nodes of available ammunition types, and finally fairly allocating them to the corresponding firepower nodes; Similarly, the remaining demand indicators are matched in turn, and the corresponding multiple platforms are selected respectively, and then combined according to the principle of satisfying the demand performance indicators after mutual combination, so as to form a corresponding kill chain combination solution set after combining multiple platforms.

6. The method for rapidly constructing a kill chain based on supply-demand vector matching according to claim 5, characterized in that: When performing strike distance matching, the distance between the equipment platform and the target is calculated to determine whether it is within the strike range: Where R represents the radius of the earth, which is 6378.137 km, a represents the difference in latitude between two points, b represents the difference in precision between two points, Lat1 and Lat2 represent the longitude and latitude coordinates of the two points respectively; By using Q k By comparing the indicators describing the strike distance with S, we can determine the equipment platform that meets the requirements; The judgment of other indicators is similar.

7. The method for rapidly constructing a kill chain based on supply-demand vector matching according to claim 5, characterized in that: When allocating ammunition, we must first calculate the ammunition consumption required for a certain type of ammunition under a certain damage requirement: Ammunition consumption calculation: where λ ExpectedDamage represents the expected damage, λ SingleDamage Indicates the damage of a single ammunition; The target damage data is calculated as follows: where w max The maximum damage data for different target types.

8. The method for rapidly constructing a kill chain based on supply-demand vector matching according to claim 5, characterized in that: In S4, if the optimal strategy is set to be time optimal, then the kill chain combination scheme with the shortest reaction time is selected from the obtained kill chain combination scheme set; if the optimal strategy is set to be firepower optimal, then the kill chain combination scheme with the largest firepower index is selected from the obtained kill chain combination scheme set.

9. The method for rapidly constructing a kill chain based on supply and demand vector matching according to claim 8, characterized in that: When the optimal strategy is time optimal, the reaction time is set to the sum of the link building time and the weapon reaction time, where the link building time is defined as T BK : T BK =T base ×T factor T base =2×(n f -1)+10×(n p -1) Where T base is the base time, T factor is the chain building factor, n f is the number of firepower nodes, n p The number of platforms, x is the fire pointing distance and the detection pointing distance.

10. The method for rapidly constructing a kill chain based on supply-demand vector matching according to claim 8, characterized in that: When the optimal strategy is the best firepower, the firepower index f x Set to: f x =λ SingleDamage ×n consume ×B f where λ SingleDamage is the damage of a single ammunition, n consume is the ammunition consumption, base B f =π×25 2 .

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