System toughness evaluation method and device facing continuous interference

Abstract

The invention provides a continuous interference-oriented system toughness evaluation method and device, and the method comprises the steps: obtaining the number of tasks of a current mission and the composition of a combat system, constructing a combat network model of the combat system based on a combat ring, and enabling the composition of the combat system to comprise the type, number and performance of entities, and the incidence relation between combat entities; solving the combat network performance of the combat system, wherein the step mainly comprises calculating the combat loop performance and calculating the combat network performance of the combat system; evaluating the toughness of the combat system, namely constructing a combat system toughness evaluation model and calculating the toughness of the combat system. According to the method, the quantitative analysis of the performance in the immediate performance loss and recovery process after the combat system is subjected to continuous interference is realized, and the method has very important significance for optimizing the combat network structure of the combat system and improving the performance of the combat system, so that the national defense security and the national benefits are effectively maintained.

Description

Technical Field

[0001] The present invention relates to the technical field of combat system assessment, and in particular to a method and device for assessing system resilience against continuous interference. Background Art

[0002] The combat system is a higher-level whole composed of interdependent and interacting combat entities to achieve specific combat tasks. In the process of completing combat tasks, there are two main goals: protecting one's own combat system and destroying the enemy's combat system. The resilience of the combat system reflects the above characteristics and is an indicator of the comprehensive performance of the reaction combat system. Reasonable and accurate assessment of the resilience of the combat system is of great significance to improving survivability, combat capability and optimizing system structure. However, the existing assessment of the resilience of the combat system focuses on the resilience assessment results of the same combat system under different disturbances or different recovery activities, and it is difficult to compare the resilience of multiple combat systems. Summary of the invention

[0003] In response to the above problems, the present invention proposes a system resilience assessment method for continuous interference, which realizes the quantitative analysis of the performance of the combat system during the immediate performance loss and recovery process after continuous interference.

[0004] A system resilience assessment method for continuous disturbances, comprising:

[0005] The current number of mission tasks and the composition of the combat system are obtained, and a combat network model of the combat system based on the combat ring is constructed, wherein the nodes in the combat network are combat entities, the combat ring contains multiple combat entities, and the combat network contains multiple combat rings.

[0006] The combat network performance of the combat system is evaluated according to the number of combat rings and the combat ring performance in the combat network, and a combat network performance curve of the combat system that changes with time is obtained. The combat ring performance is calculated according to the number of combat entities in the combat ring and the standard length of the combat ring.

[0007] According to the performance curve, the degradation toughness of the combat system combat network in the performance degradation stage and the recovery toughness of the performance recovery stage are evaluated. The degradation toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by robustness and resistance. The recovery toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by recovery degree and recovery time probability. According to the degradation toughness and the recovery toughness, a combat system combat network resilience evaluation model is constructed. The combat system combat network resilience evaluation model is:

[0008]

[0009] In the formula, represents the resilience of the combat system combat network at the i-th time slice, represents the degradation resilience of the combat system combat network at the i-th time slice, Represents the recovery resilience of the combat system combat network at the i-th time slice.

[0010] The resilience of the combat system under continuous interference is calculated according to the combat system combat network resilience assessment model.

[0011]

[0012] Among them, R(T) represents the resilience of the combat system, TS i Indicates the duration of the i-th time slice.

[0013] Preferably, the combat ring performance is calculated based on the number of combat entities in the combat ring and the standard length of the combat ring, specifically:

[0014]

[0015] In the formula, f(p j ) represents the combat ring j Performance,|p j |Indicates combat ring p j Standard length, C Te represents the anti-reconnaissance capability of the target entity, C S (v j ) represents the ability of the reconnaissance entity, C D (v j ) represents the ability of the decision-making entity, C I (v j ) indicates the ability to strike an entity.

[0016] Preferably, the combat system combat network performance is evaluated according to the number of combat rings and combat ring performance in the combat network, and a combat system combat network performance curve that changes with time is obtained, specifically:

[0017]

[0018] Where P(T) is the curve of the performance parameters of the combat system combat network changing with time T, w i represents the weight of the i-th target entity, f(p j , T) is the combat cycle at time T j performance.

[0019] Preferably, the degradation toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by the robustness and resistance, specifically:

[0020]

[0021]

[0022]

[0023]

[0024] Where: R d represents the degradation resilience of the combat system’s combat network, Δ S1 represents the ratio of the area under the performance curve of the combat system combat network after attack or interference to the area under the performance curve without attack, α represents robustness, β represents resistance, P(T) is the curve of the performance parameters of the combat system combat network changing with time T, P max Indicates the performance value when the combat system combat network is attacked or interfered, T a Indicates the moment when the combat system combat network is attacked or interfered. r Indicates the moment when the combat system combat network performance drops to the lowest, n(T r ) indicates T r The number of combat loops in the combat system at any given moment, n(T a ) indicates T a The number of combat rings in the combat system at any given moment, β represents the resistance, P baseline Represents the mission baseline performance value of the combat system's combat network.

[0025] Preferably, the recovery toughness is:

[0026]

[0027]

[0028]

[0029]

[0030] In the formula, R r Represents the resilience of the combat system’s combat network, Δ S2 It represents the ratio of the area under the performance curve after the combat system combat network begins to recover to the area under the performance curve without being hit, μ represents the recovery degree, P(T re ≤T * ) represents the probability of recovery time, T e Indicates the time when the combat system combat network ends recovery, T r Indicates the moment when the combat system combat network performance drops to the lowest level, P maxIt represents the performance value of the combat system combat network at the moment of attack or interference. P(T) is the curve of the performance parameter of the combat system combat network changing with time T. p is the recovery probability, n f is the number of nodes destroyed when starting recovery, T N For recovery time.

[0031] Furthermore, the combat entities shown include a reconnaissance entity, a decision-making entity, a strike entity, and a target entity, and the number of the target entities is equal to the number of mission tasks.

[0032] Furthermore, the combat system composition includes the types, quantities, performances and relationships between combat entities.

[0033] The present invention also provides a system resilience assessment device for continuous interference, the device comprising:

[0034] The combat system combat network model construction unit is used to obtain the current mission task quantity and combat system composition, and construct a combat system combat network model based on the combat ring. The nodes in the combat network are combat entities, the combat ring contains multiple combat entities, and the combat network contains multiple combat rings.

[0035] The combat system combat network performance evaluation unit is used to evaluate the combat system combat network performance according to the number of combat rings and the combat ring performance in the combat network, and obtain a combat system combat network performance curve that changes with time. The combat ring performance is calculated based on the number of combat entities in the combat ring and the standard length of the combat ring.

[0036] A combat system combat network resilience assessment model construction unit is used to evaluate the degradation resilience of the combat system combat network in the performance degradation stage and the recovery resilience in the performance recovery stage according to the performance curve, wherein the degradation resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by robustness and resistance, and the recovery resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by recovery degree and recovery time probability, and a combat system combat network resilience assessment model is constructed according to the degradation resilience and the recovery resilience, and the combat system combat network resilience assessment model is:

[0037]

[0038] In the formula, represents the resilience of the combat system combat network at the i-th time slice, represents the degradation resilience of the combat system combat network at the i-th time slice, Represents the recovery resilience of the combat system combat network at the i-th time slice.

[0039] The combat system resilience calculation unit is used to calculate the resilience of the combat system under continuous interference based on the combat system combat network resilience assessment model.

[0040]

[0041] Among them, R(T) represents the resilience of the combat system, TS i Indicates the duration of the i-th time slice.

[0042] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above-described methods when executing the program.

[0043] A computer storage medium stores at least one executable instruction, wherein the executable instruction enables a processor to execute any of the methods described above.

[0044] The beneficial effect of the present invention is that a system resilience assessment method for continuous interference realizes the quantitative analysis of the immediate performance loss and recovery process of the combat system after continuous interference, and can realize the comparison of the resilience of multiple combat systems. It is of great significance for optimizing the combat network structure of the combat system and improving the performance of the combat system, thereby effectively safeguarding national defense security and national interests. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 The figure is a flow chart of a system resilience assessment method for continuous disturbances.

[0046] Figure 2 It is a curve performance diagram under the event that the combat system’s combat network is attacked or interfered.

[0047] Figure 3 The structure diagram of a system resilience assessment device for continuous interference. DETAILED DESCRIPTION

[0048] The embodiment of the present invention provides a system resilience assessment method for continuous interference. The system resilience assessment method for continuous interference of the embodiment of the present invention is applied to a server. Figure 1 As shown in FIG. 1 , a system resilience assessment method for continuous disturbances includes:

[0049] The first step is to obtain the current number of mission tasks and the composition of the combat system, and to construct a combat network model of the combat system based on the combat ring. The nodes in the combat network are combat entities, the combat ring contains multiple combat entities, and the combat network contains multiple combat rings.

[0050] In this step, the composition of the combat system includes the types, quantity, performance and correlation between combat entities. The types of combat entities can be divided into four categories according to their uses, including reconnaissance entities, decision-making entities, strike entities, and target entities. The number of target entities is equal to the number of mission tasks. The combat ring is a closed loop formed by reconnaissance entities, decision-making entities, strike entities, etc. in the combat system and enemy targets to complete specific mission tasks. There are six types of correlations between combat entities, including target reconnaissance correlation, information sharing correlation, intelligence transmission correlation, combat coordination correlation, command decision correlation, and target strike correlation. The entity nodes are abstracted as nodes in the combat network, and the correlations between entities are abstracted as directed edges in the combat network. A combat network model of the combat system based on the combat ring is established.

[0051] The second step is to evaluate the combat system combat network performance according to the number of combat rings and combat ring performance in the combat network, and obtain the combat system combat network performance curve that changes with time. The combat ring performance is calculated according to the number of combat entities in the combat ring and the standard length of the combat ring.

[0052] In this step, the performance of the combat ring is calculated first. The combat ring contains many combat entities, and the performance of the combat ring can be rated by evaluating the number of combat entities in the combat ring and the standard length of the combat ring.

[0053]

[0054] In the formula, f(p j ) represents the combat ring j Performance,|p j |Indicates combat ring p j Standard length, C Te represents the anti-reconnaissance capability of entity T, C S (v j ) represents the ability of the reconnaissance entity, C D (v j ) represents the ability of the decision-making entity, C I (v j ) indicates the ability to strike an entity.

[0055] Then, the combat system combat network performance is calculated. The combat system combat network contains many combat loops. Due to the different importance of different target entities in the combat system combat network, the combat loops are weighted according to the weight of the target entity. The combat system combat network performance at time T is calculated as follows:

[0056]

[0057] Where C(G) represents the performance of the combat system combat network, w irepresents the weight of the i-th target entity.

[0058] Then the performance curve of the combat system combat network that changes with time is obtained as follows:

[0059]

[0060] P(T) is the curve of the performance of the combat system network changing with time T, f(p j , T) is the combat cycle at time T j Performance. Figure 2 It is a curve performance diagram under the event that the combat system’s combat network is attacked or interfered.

[0061] The third step is to evaluate the degradation toughness of the combat system combat network in the performance degradation stage and the recovery toughness in the performance recovery stage based on the performance curve. The degradation toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by the robustness and resistance. The recovery toughness is the ratio of the area under the performance curve after being recovered from the hit to the area under the performance curve without being hit multiplied by the recovery degree and the probability of recovery time. A combat system combat network resilience evaluation model is constructed based on the degradation toughness and the recovery toughness.

[0062] In this step, the combat system combat network resilience assessment model is:

[0063]

[0064] In the formula, represents the resilience of the combat system combat network at the i-th time slice, represents the degradation resilience of the combat system combat network at the i-th time slice, Represents the recovery resilience of the combat system combat network at the i-th time slice.

[0065] The degradation toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by the robustness and resistance, which is as follows:

[0066]

[0067] In the formula, Δ S1 It represents the ratio of the area under the performance curve after attack or interference to the area under the performance curve without attack. P(T) is the change of the combat network performance parameters of the combat system over time T. max Indicates the performance value when the combat system combat network is attacked or interfered, T a Indicates the moment when the combat system combat network is attacked or interfered. r Indicates the moment when the combat system's combat network performance drops to the lowest level.

[0068]

[0069] In the formula, α represents robustness, n(T r ) indicates T r The number of combat loops in the combat system at any given moment, n(T a ) indicates T a The number of combat rings in the combat system at any given moment.

[0070]

[0071] In the formula, β represents resistance, P baseline Represents the mission baseline performance value of the combat system's combat network.

[0072]

[0073] Where: R d represents the degradation resilience of the combat system’s combat network, Δ S1 It represents the ratio of the area under the performance curve after attack or interference to the area under the performance curve without attack, α represents robustness, and β represents resistance.

[0074] The recovery toughness is the ratio of the area under the performance curve after the impact recovery to the area under the performance curve without the impact multiplied by the recovery degree and the probability of recovery time, which is as follows:

[0075]

[0076] In the formula, Δ S2 It represents the ratio of the area under the performance curve after recovery to the area under the performance curve without impact, T e Indicates the moment when the combat system combat network has finished recovering.

[0077]

[0078] In the formula, μ represents the recovery degree, P(T e ) indicates T e The performance of the real-time combat system.

[0079]

[0080] In the formula, P(T re ≤T * ) represents the probability of recovery time, p is the probability of recovery, n f is the number of nodes destroyed when starting recovery, T N For recovery time.

[0081]

[0082] In the formula, Rr Represents the resilience of the combat system’s combat network, Δ S2 It represents the ratio of the area under the performance curve after the recovery to the area under the performance curve before the attack, μ represents the degree of recovery, P(T re ≤T * ) represents the probability of recovery time.

[0083] The fourth step is to calculate the resilience of the combat system under continuous interference based on the combat system combat network resilience assessment model.

[0084] In this step, the resilience of the combat system is:

[0085]

[0086] Among them, R(T) represents the resilience of the combat system, TS i Indicates the duration of the i-th time slice.

[0087] According to the above-mentioned system resilience assessment method for continuous interference, an embodiment of the present invention further provides a system resilience assessment device for continuous interference, as shown in the attached Figure 3 As shown, the device comprises:

[0088] The combat system combat network model construction unit is used to obtain the current mission task quantity and combat system composition, and construct a combat system combat network model based on the combat ring. The nodes in the combat network are combat entities, the combat ring contains multiple combat entities, and the combat network contains multiple combat rings.

[0089] The combat system combat network performance evaluation unit is used to evaluate the combat system combat network performance according to the number of combat rings and the combat ring performance in the combat network, and obtain a combat system combat network performance curve that changes with time. The combat ring performance is calculated based on the number of combat entities in the combat ring and the standard length of the combat ring.

[0090] A combat system combat network resilience assessment model construction unit is used to evaluate the degradation resilience of the combat system combat network in the performance degradation stage and the recovery resilience in the performance recovery stage according to the performance curve, wherein the degradation resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by robustness and resistance, and the recovery resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by recovery degree and recovery time probability, and a combat system combat network resilience assessment model is constructed according to the degradation resilience and the recovery resilience, and the combat system combat network resilience assessment model is:

[0091]

[0092] In the formula, represents the resilience of the combat system combat network at the i-th time slice, represents the degradation resilience of the combat system combat network at the i-th time slice, Represents the recovery resilience of the combat system combat network at the i-th time slice.

[0093] The combat system resilience calculation unit is used to calculate the resilience of the combat system under continuous interference based on the combat system combat network resilience assessment model.

[0094]

[0095] Among them, R(T) represents the resilience of the combat system, TS i Indicates the duration of the i-th time slice.

[0096] According to the method for assessing system resilience against continuous interference, an embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-described method when executing the program.

[0097] According to the method for assessing system resilience for continuous interference, an embodiment of the present invention further provides a computer storage medium, wherein the storage medium stores at least one executable instruction, and the executable instruction enables a processor to execute the method described above.

[0098] A person skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of protection of the present application is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0099] One or more embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the present application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application should be included in the protection scope of the present application.

Claims

1. A system resilience assessment method for continuous disturbances, characterized in that: The method comprises: Obtain the current number of mission tasks and the composition of the combat system, and construct a combat network model of the combat system based on the combat ring, wherein the nodes in the combat network are combat entities, the combat ring contains multiple combat entities, and the combat network contains multiple combat rings; Evaluate the combat network performance of the combat system according to the number of combat rings and the combat ring performance in the combat network, and obtain a combat network performance curve of the combat system that changes over time, wherein the combat ring performance is calculated according to the number of combat entities in the combat ring and the standard length of the combat ring; According to the performance curve, the degradation toughness of the combat system combat network in the performance degradation stage and the recovery toughness of the performance recovery stage are evaluated. The degradation toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by robustness and resistance. The recovery toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by recovery degree and recovery time probability. According to the degradation toughness and the recovery toughness, a combat system combat network resilience evaluation model is constructed. The combat system combat network resilience evaluation model is: In the formula, R i ^ represents the resilience of the combat system combat network in the i-th time slice, represents the degradation resilience of the combat system combat network at the i-th time slice, It represents the recovery resilience of the combat system combat network at the i-th time slice; The resilience of the combat system under continuous interference is calculated according to the combat system combat network resilience assessment model. Among them, R(T) represents the resilience of the combat system, TS i Indicates the duration of the i-th time slice.

2. The system resilience assessment method according to claim 1, characterized in that: The combat ring performance is calculated based on the number of combat entities in the combat ring and the standard length of the combat ring, specifically: In the formula, f(p j ) represents the combat ring j Performance,|p j |Indicates combat ring p j Standard length, C Te represents the anti-reconnaissance capability of the target entity, C S (v j ) represents the ability of the reconnaissance entity, C D (v j ) represents the ability of the decision-making entity, C I (v j ) indicates the ability to strike an entity.

3. The system resilience assessment method according to claim 1, characterized in that: The combat system combat network performance is evaluated according to the number of combat rings and combat ring performance in the combat network, and a combat system combat network performance curve that changes over time is obtained, which is specifically: Where P(T) is the curve of the performance parameters of the combat system combat network changing with time T, w i represents the weight of the i-th target entity, f(p j , T) is the combat cycle at time T j performance.

4. The system resilience assessment method according to claim 1, characterized in that: The degradation toughness is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by the robustness and resistance, specifically: Where: R d represents the degradation resilience of the combat system’s combat network, Δ S1 It represents the ratio of the area under the performance curve of the combat system combat network after being interfered to the area under the performance curve without being attacked. α represents robustness, β represents resistance, and P(T) is the curve of the performance parameters of the combat system combat network changing with time T. max It represents the performance value when the combat system combat network is disturbed, T a Indicates the moment when the combat system combat network is attacked or interfered. r Indicates the moment when the combat system combat network performance drops to the lowest, n(T r ) indicates T r The number of combat loops in the combat system at any given moment, n(T a ) indicates T a The number of combat rings in the combat system at any given moment, β represents the resistance, P baseline Represents the mission baseline performance value of the combat system's combat network.

5. The system resilience assessment method according to claim 1, characterized in that: The recovery toughness is: In the formula, R r Represents the resilience of the combat system’s combat network, Δ S2 It represents the ratio of the area under the performance curve after the combat system combat network begins to recover to the area under the performance curve without being hit, μ represents the recovery degree, P(T re ≤T * ) represents the probability of recovery time, T e Indicates the time when the combat system combat network ends recovery, T r Indicates the moment when the combat system combat network performance drops to the lowest level, P max It represents the performance value of the combat system combat network at the moment of attack or interference. P(T) is the curve of the performance parameter of the combat system combat network changing with time T. p is the recovery probability, n f is the number of nodes destroyed when starting recovery, T N For recovery time.

6. The system resilience assessment method according to any one of claims 1 to 5, characterized in that: The combat entities shown include a reconnaissance entity, a decision-making entity, a strike entity, and a target entity, and the number of the target entities is equal to the number of mission tasks.

7. The system resilience assessment method according to any one of claims 1 to 5, characterized in that: The combat system consists of the types, quantities, performances and relationships between combat entities.

8. A system resilience assessment device for continuous interference, characterized in that: The device comprises: A combat system combat network model building unit is used to obtain the current mission task quantity and combat system composition, and build a combat system combat network model based on a combat ring, wherein the nodes in the combat network are combat entities, the combat ring contains multiple combat entities, and the combat network contains multiple combat rings; A combat system combat network performance evaluation unit is used to evaluate the combat system combat network performance according to the number of combat rings in the combat network and the combat ring performance, and obtain a combat system combat network performance curve that changes with time, wherein the combat ring performance is calculated according to the number of combat entities in the combat ring and the standard length of the combat ring; A combat system combat network resilience assessment model construction unit is used to evaluate the degradation resilience of the combat system combat network in the performance degradation stage and the recovery resilience in the performance recovery stage according to the performance curve, wherein the degradation resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by robustness and resistance, and the recovery resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve without being hit multiplied by recovery degree and recovery time probability, and a combat system combat network resilience assessment model is constructed according to the degradation resilience and the recovery resilience, and the combat system combat network resilience assessment model is: In the formula, R i ^ represents the resilience of the combat system combat network in the i-th time slice, represents the degradation resilience of the combat system combat network at the i-th time slice, It represents the recovery resilience of the combat system combat network at the i-th time slice; The combat system resilience calculation unit is used to calculate the resilience of the combat system under continuous interference based on the combat system combat network resilience assessment model. Among them, R(T) represents the resilience of the combat system, TS i Indicates the duration of the i-th time slice.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A computer storage medium, characterized in that: The storage medium stores at least one executable instruction, and the executable instruction enables the processor to execute the method according to any one of claims 1 to 7.

Images