A system resilience assessment method and device for continuous interference
By building a combat network model and evaluating the degradation and recovery resilience of the combat system, the problem of existing technologies being unable to evaluate the performance loss and recovery of the combat system under continuous interference has been solved, multi-system comparison and performance optimization have been achieved, and combat capabilities and national defense security have been improved.
Patent Information
- Application Number
- CN202410051389.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-12
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2044-01-12
AI Technical Summary
Existing combat system resilience assessment methods make it difficult to compare the resilience of multiple combat systems under different disturbances or recovery activities, and are unable to accurately assess the performance loss and recovery process of combat systems under continuous interference.
Construct a combat network model based on the combat ring, evaluate degradation resilience and recovery resilience by calculating the combat ring performance curve, establish a combat system resilience evaluation model, and quantify the performance loss and recovery process of the combat system under continuous interference.
It realizes the quantitative analysis of the immediate performance loss and recovery process of the combat system after continuous interference, supports the resilience comparison of multiple combat systems, optimizes the combat network structure, improves combat performance, and maintains national defense security.
Smart Images

Figure CN119397721B_ABST
Abstract
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 in the face of continuous interference. Background Art
[0002] A combat system is a higher-level entity composed of interdependent and interacting combat entities that achieve specific combat missions. Completing these missions primarily involves two objectives: protecting one's own combat system and disrupting the enemy's. Combat system resilience embodies these characteristics and serves as an indicator of the system's overall performance. A reasonable and accurate assessment of combat system resilience is crucial for improving survivability, combat capability, and optimizing system architecture. However, existing combat system resilience assessments focus on evaluating the resilience of the same combat system under different perturbations or recovery activities, making it difficult to compare the resilience of multiple combat systems. Summary of the Invention
[0003] To address the above issues, 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 being subjected to continuous interference.
[0004] A system resilience assessment method for continuous disturbances, including:
[0005] The number of current 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. 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 system combat network performance is evaluated based on 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. 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.
[0007] The degradation toughness of the combat system's combat network in the performance degradation stage and the recovery toughness in the performance recovery stage are evaluated 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 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's combat network resilience evaluation model is constructed based on the degradation toughness and the recovery toughness. The combat system's combat network resilience evaluation model is:
[0008]
[0009] Where, 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 in the i-th time slice, It represents the recovery resilience of the combat system combat network in 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] Where, f(p j ) represents the combat ring p j Performance,|p j |Indicates combat ring p j Standard length, C Te Indicates 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 based on the number of combat rings and the 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 network over 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 struck to the area under the performance curve without being struck 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 It 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 at the moment 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 with, T 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 rings in the combat system at any moment, n(T a ) indicates T a The number of combat rings in the combat system at any moment, β represents the resistance, P baseline Represents the mission baseline performance value of the combat system combat network.
[0025] Preferably, the recovery toughness is:
[0026]
[0027]
[0028]
[0029]
[0030] Where R r Represents the resilience of the combat system and 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 finishes recovery, T r Indicates the moment when the combat system combat network performance drops to the lowest, P maxIt represents the performance value of the combat system network at the moment of attack or interference. P(T) is the curve of the performance parameters of the combat system network over 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, comprising:
[0034] The combat system combat network model construction unit is used to obtain the current number of mission tasks and the composition of the combat system, 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 based on 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. 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 based on the performance curve. The degradation resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve before being hit, multiplied by robustness and resistance. The recovery resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve before being hit, multiplied by recovery degree and recovery time probability. A combat system combat network resilience assessment model is constructed based on the degradation resilience and the recovery resilience. The combat system combat network resilience assessment model is:
[0037]
[0038] Where, 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 in the i-th time slice, It represents the recovery resilience of the combat system combat network in 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 one 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 one 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 being subjected to 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 flowchart of a system resilience assessment method for continuous interference.
[0046] Figure 2 This is a performance curve diagram when the combat system's combat network is attacked or interfered with.
[0047] Figure 3 This is a structural 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 the server. Figure 1 As shown in Figure 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 build 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.
[0050] In this step, the combat system consists of the types, number, performance, and inter-entity relationships of combat entities. Combat entities can be divided into four categories based on their purpose: reconnaissance entities, decision-making entities, strike entities, and target entities. The number of target entities is equal to the number of mission tasks. A combat loop is a closed loop formed by reconnaissance entities, decision-making entities, strike entities, and enemy targets in the combat system to complete a specific mission task. There are six types of inter-entity relationships: target reconnaissance relationships, information sharing relationships, intelligence transmission relationships, combat coordination relationships, command and decision-making relationships, and target strike relationships. Entity nodes are abstracted as nodes in the combat network, and inter-entity relationships are abstracted as directed edges in the combat network. A combat network model for the combat system based on the combat loop is established.
[0051] The second step is to evaluate the combat system's combat network performance based on the number of combat rings and combat ring performance in the combat network, and obtain a combat system's combat network performance curve that changes over 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.
[0052] In this step, the performance of the combat loop is calculated first. The combat loop contains many combat entities, and the performance of the combat loop can be rated by evaluating the number of combat entities in the combat loop and the standard length of the combat loop.
[0053]
[0054] Where, f(p j ) represents the combat ring p j Performance,|p j |Indicates combat ring p j Standard length, C Te Indicates 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 performance of the combat system's combat network is calculated. The combat system's combat network contains numerous combat loops. Due to the different importance of different target entities in the combat system's combat network, the combat loops are weighted according to the weight of the target entity. The performance of the combat system's combat network 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 This is a performance curve diagram when the combat system's combat network is attacked or interfered with.
[0061] The third step is to evaluate the degradation resilience of the combat system's combat network in the performance degradation stage and the recovery resilience in the performance recovery stage based on the performance curve. 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 the robustness and resistance. 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 the recovery degree and the probability of recovery time. A combat system's combat network resilience evaluation model is constructed based on the degradation resilience and the recovery resilience.
[0062] In this step, the combat system combat network resilience assessment model is:
[0063]
[0064] Where, 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 in the i-th time slice, It represents the recovery resilience of the combat system combat network in the i-th time slice.
[0065] The degradation toughness is the ratio of the area under the performance curve after being struck to the area under the performance curve without being struck multiplied by the robustness and resistance, specifically as follows:
[0066]
[0067] Where, 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 system combat network performance parameters over time T. max Indicates the performance value at the moment 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 with, T r Indicates the moment when the combat system's combat network performance drops to the lowest level.
[0068]
[0069] Where α represents robustness, n(T r ) indicates T r The number of combat rings in the combat system at any moment, n(T a ) indicates T a The number of combat rings in the combat system at any given moment.
[0070]
[0071] Where β represents resistance, P baseline Represents the mission baseline performance value of the combat system 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 the attack or interference to the area under the performance curve without the attack, α represents the robustness, and β represents the resistance.
[0074] The recovery toughness is the ratio of the area under the performance curve after the impact to the area under the performance curve without the impact multiplied by the recovery degree and the probability of recovery time, specifically as follows:
[0075]
[0076] Where, Δ S2 It represents the ratio of the area under the performance curve after recovery to the area under the performance curve before the impact, T e Indicates the moment when the combat system combat network completes recovery.
[0077]
[0078] Where μ represents the recovery degree, P(T e ) indicates T e The performance of the real-time combat system.
[0079]
[0080] Where, 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] Where Rr Represents the resilience of the combat system and combat network, Δ S2 It represents the ratio of the area under the performance curve after 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 includes:
[0088] The combat system combat network model construction unit is used to obtain the current number of mission tasks and the composition of the combat system, 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 based on 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. 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 based on the performance curve. The degradation resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve before being hit, multiplied by robustness and resistance. The recovery resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve before being hit, multiplied by recovery degree and recovery time probability. A combat system combat network resilience assessment model is constructed based on the degradation resilience and the recovery resilience. The combat system combat network resilience assessment model is:
[0091]
[0092] Where, 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 in the i-th time slice, It represents the recovery resilience of the combat system combat network in 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 system resilience assessment method for continuous interference, an embodiment of the present invention also provides an electronic device, including 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 evaluating 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] Those 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 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] The one or more embodiments of this application are intended to encompass all such substitutions, modifications, and variations that fall within the broad scope of this application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this application should be included in the scope of protection of this application.
Claims
1. A system resilience assessment method for continuous disturbances, characterized by: The method comprises: Obtain the current number of mission tasks and the composition of the combat system, and construct a combat system combat network model based on the combat ring, where 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 system's combat network performance based on the number of combat rings and combat ring performance in the combat network, and obtain a combat system's combat network performance curve that changes over 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. The degradation toughness of the combat system's combat network in the performance degradation stage and the recovery toughness in the performance recovery stage are evaluated 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 before being hit, multiplied by the 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 before being hit, multiplied by the recovery degree and the probability of recovery time. A combat system's combat network resilience evaluation model is constructed based on the degradation toughness and the recovery toughness. The combat system's combat network resilience evaluation model is: Where, Indicates the combat system and combat network i The resilience of a time slice, Indicates the combat system and combat network i The degradation toughness of the time slice, Indicates the combat system and combat network i Recovery resilience of a time slice; The resilience of the combat system under continuous interference is calculated according to the combat system combat network resilience assessment model. in, Indicates the resilience of the combat system. TS i Indicates the i The duration of a time slice; The combat entities include reconnaissance entities, decision-making entities, strike entities, and target entities, and the number of target entities is equal to the number of mission tasks; The composition of the combat system includes the types, quantities, performances and relationships between combat entities.
2. The system resilience assessment method according to claim 1, wherein: 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: Where, f(p j ) Indicates combat ring p j performance, |p j | Indicates combat ring p j Standard length, C Te Indicates the anti-reconnaissance capability of the target entity, C S (v j ) Indicates the ability to detect entities, C D (v j ) Represents the capabilities 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, wherein: The combat system combat network performance is evaluated based on 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, specifically: In the formula , P(T) Combat network performance parameters for combat systems over time T The change curve of w i Indicates the i The weight of the target entity, T-moment combat ring p j performance.
4. The system resilience assessment method according to claim 1, wherein: The degradation toughness is the ratio of the area under the performance curve after being struck to the area under the performance curve without being struck multiplied by the robustness and resistance, specifically: Where: Indicates 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’s combat network after being interfered to the area under the performance curve without being attacked. α Indicates robustness, β Indicates resistance. P(T) Combat network performance parameters for combat systems over time T The change curve of P max Indicates the performance value when the combat system combat network is disturbed. T a Indicates the moment when the combat system and combat network are attacked or interfered with. T r It indicates the moment when the combat system's combat network performance drops to the lowest level. n(T r ) express T r The number of combat rings in the combat system at any given moment, n(T a ) express T a The number of combat rings in the combat system at any given moment, β Indicates resistance. P baseline Represents the mission baseline performance value of the combat system combat network.
5. The system resilience assessment method according to claim 1, wherein: The recovery toughness is: Where, Indicates the resilience of the combat system and 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 Indicates the degree of recovery, P(T re ≤T * ) represents the probability of recovery time, T e Indicates the moment when the combat system and combat network have finished recovering. T r It indicates the moment when the combat system's combat network performance drops to the lowest level. P max Indicates the performance value at the moment when the combat system's combat network is attacked or interfered with. P(T) Combat network performance parameters for combat systems over time T The change curve of p is the probability of recovery, n f is the number of nodes destroyed when starting recovery, T N For recovery time.
6. A system resilience assessment device for continuous interference, characterized by: The device comprises: A combat system combat network model construction unit is used to obtain the current number of mission tasks and the composition of the combat system, and to construct a combat system combat network model based on a 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. a combat system combat network performance evaluation unit, configured to evaluate the combat system combat network performance based on the number of combat rings in the combat network and the combat ring performance, thereby obtaining a time-varying combat system combat network performance curve, wherein 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; 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 based on the performance curve. The degradation resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve before being hit, multiplied by the robustness and resistance. The recovery resilience is the ratio of the area under the performance curve after being hit to the area under the performance curve before being hit, multiplied by the recovery degree and the probability of recovery time. The combat system combat network resilience assessment model is constructed based on the degradation resilience and the recovery resilience. The combat system combat network resilience assessment model is: Where, Indicates the combat system and combat network i The resilience of a time slice, Indicates the combat system and combat network i The degradation toughness of the time slice, Indicates the combat system and combat network i Recovery resilience of a 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. in, Indicates the resilience of the combat system. TS i Indicates the i The duration of a time slice; The combat entities include reconnaissance entities, decision-making entities, strike entities, and target entities, and the number of target entities is equal to the number of mission tasks; The composition of the combat system includes the types, quantities, performances and relationships between combat entities.
7. 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 5 is implemented.
8. 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 5.
Citation Information
Patent Citations
Airport group system toughness evaluation method based on regional management and control capability
CN114638075A
Equipment system evaluation method, device and equipment
CN115049257A