Reconfiguration scheme evaluation method, device, medium and product for equipment system

Abstract

The application discloses an equipment system-oriented reconstruction scheme evaluation method and device, medium and product, relates to the field of equipment system reconstruction technology, and combines the characteristics of the equipment system structure, relies on the equipment system structure of "equipment-equipment system capability-equipment system task", and gradually transmits the evaluation of the equipment in the equipment system to the system task, and then aggregates the task completion probability of the equipment system. According to the task completion probability of the initial state equipment system, the task completion probability of the strike failure state equipment system and the task completion probability of the reconstructed equipment system, the robustness of the reconstructed equipment system is evaluated; according to the reconstruction start time, the reconstruction end time and the strike failure start time, the reconstruction efficiency of the reconstructed equipment system is evaluated; and according to the robustness and the reconstruction efficiency, the rationality evaluation of the equipment system reconstruction scheme is realized.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of equipment system reconfiguration, and in particular to an equipment system reconfiguration scheme evaluation method and device, a medium and a product. BACKGROUND

[0002] An equipment system is a typical system with system characteristics such as complexity, self-organization and self-adaptation. The equipment system is composed of a plurality of equipment of different quantities for completing a specific task, and there are complex relationships such as information interaction, capability interaction and resource interaction between the equipment. When the equipment system cannot complete the scheduled task due to internal failure caused by external interference, the capability of completing the task needs to be restored through dynamic adjustment of the equipment system structure. The above dynamic adjustment is collectively referred to as equipment system reconfiguration, and the equipment system with the reconfiguration scheme is referred to as a reconfigurable equipment system.

[0003] When the equipment system is subjected to different types of attacks or failures, different reconfiguration schemes need to be adopted. A reconfiguration scheme is a collection of a series of equipment reconfiguration operations. The reconfiguration effect and reconfiguration efficiency of different reconfiguration schemes are different, and therefore the reconfiguration scheme needs to be evaluated to select the optimal reconfiguration scheme. However, due to the highly complex and dynamic changes between the equipment in the equipment system, the equipment system capability and the equipment system task, it is difficult to establish a quantitative relationship between them. At the same time, there is a lack of reasonable evaluation method for equipment system reconfiguration, and it is difficult to evaluate the reconfiguration effect, reconfiguration efficiency and other indexes of the equipment system reconfiguration in combination with the equipment system reconfiguration process. SUMMARY

[0004] The application aims to provide an equipment system reconfiguration scheme evaluation method, device, medium and product, which can establish a quantitative transmission relationship between equipment, equipment system capability and equipment system task, and realize reasonable evaluation of the reconfiguration effect, reconfiguration efficiency and other indexes of the equipment system reconfiguration in combination with the equipment system reconfiguration process.

[0005] To achieve the above-mentioned purpose, the application provides the following scheme:

[0006] In a first aspect, the application provides an equipment system reconfiguration scheme evaluation method, comprising:

[0007] obtaining first equipment function data, second equipment function data and third equipment function data, wherein the first equipment function data is the function data corresponding to each equipment in the initial state equipment system; the second equipment function data is the function data corresponding to each equipment in the strike failure state equipment system, the strike failure state equipment system being the equipment system obtained after the initial state equipment system is subjected to a strike failure operation; and the third equipment function data is the function data corresponding to each equipment in the reconfigured equipment system, the reconfigured equipment system being the equipment system obtained after the strike failure state equipment system is subjected to a reconfiguration operation;

[0008] calculating an initial state equipment integrity evaluation value according to the first equipment function data, wherein the initial state equipment integrity evaluation value refers to the integrity evaluation value of each equipment in the initial state equipment system;

[0009] calculating a strike failure state equipment integrity evaluation value according to the second equipment function data, wherein the strike failure state equipment integrity evaluation value refers to the integrity evaluation value of each equipment in the strike failure state equipment system;

[0010] calculating a reconfigured equipment integrity evaluation value according to the third equipment function data, wherein the reconfigured equipment integrity evaluation value refers to the integrity evaluation value of each equipment in the reconfigured equipment system;

[0011] correspondingly calculating an initial state equipment system capability level estimation value, a strike failure state equipment system capability level estimation value and a reconfigured equipment system capability level estimation value according to the initial state equipment integrity evaluation value, the strike failure state equipment integrity evaluation value and the reconfigured equipment integrity evaluation value, respectively;

[0012] calculating a first task completion probability of the initial state equipment system completing the equipment system task according to the initial state equipment system capability level estimation value;

[0013] calculating a second task completion probability of the strike failure state equipment system completing the equipment system task according to the strike failure state equipment system capability level estimation value;

[0014] calculating a third task completion probability of the reconfigured equipment system completing the equipment system task according to the reconfigured equipment system capability level estimation value;

[0015] evaluating the robustness of the reconfigured equipment system according to the first task completion probability, the second task completion probability and the third task completion probability, to obtain a robustness evaluation value;

[0016] According to the reconstruction time of the reconstructed equipment system and the attack failure start time of the attack failure state equipment system, the reconstruction efficiency of the reconstructed equipment system is evaluated, and a reconstruction efficiency evaluation value is obtained, wherein the reconstruction time includes a reconstruction start time and a reconstruction end time;

[0017] According to the robustness evaluation value and the reconstruction efficiency evaluation value, a comprehensive evaluation value of the reconstructed equipment system is calculated.

[0018] In a second aspect, the present application provides an equipment system-oriented reconstruction scheme evaluation method, comprising:

[0019] Obtaining first equipment function data and third equipment function data, wherein the first equipment function data is the function data corresponding to each equipment in the initial state equipment system; the third equipment function data is the function data corresponding to each equipment in the reconstructed equipment system, the reconstructed equipment system is obtained by performing a reconstruction operation on the attack failure state equipment system, and the attack failure state equipment system is obtained by performing an attack failure operation on the initial state equipment system;

[0020] According to the first equipment function data, an initial state equipment integrity evaluation value is calculated, wherein the initial state equipment integrity evaluation value refers to the integrity evaluation value of the equipment in the initial state equipment system;

[0021] According to the third equipment function data, a reconstructed equipment integrity evaluation value is calculated, wherein the reconstructed equipment integrity evaluation value refers to the integrity evaluation value of the equipment in the reconstructed equipment system;

[0022] According to the initial state equipment integrity evaluation value and the reconstructed equipment integrity evaluation value, an initial state equipment system capability level estimation value and a reconstructed equipment system capability level estimation value are respectively calculated;

[0023] According to the initial state equipment system capability level estimation value, a first task completion probability of the initial state equipment system completing the equipment system task is calculated;

[0024] According to the reconstructed equipment system capability level estimation value, a third task completion probability of the reconstructed equipment system completing the equipment system task is calculated;

[0025] According to the first task completion probability and the third task completion probability, the robustness of the reconstructed equipment system is evaluated, and a robustness evaluation value is obtained;

[0026] According to the reconstruction time of the reconstructed equipment system and the attack failure start time of the attack failure state equipment system, the reconstruction efficiency of the reconstructed equipment system is evaluated, and a reconstruction efficiency evaluation value is obtained, wherein the reconstruction time includes a reconstruction start time and a reconstruction end time.

[0027] According to the robustness evaluation value and the reconstruction efficiency evaluation value, a comprehensive evaluation value of the reconstructed equipment system is calculated.

[0028] In a third aspect, the present application provides a computer device, comprising: a memory, a processor to store a computer program on the memory and executable on the processor, and the processor executes the computer program to implement the equipment system reconstruction scheme evaluation method of the first aspect or the equipment system reconstruction scheme evaluation method of the second aspect.

[0029] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the equipment system reconstruction scheme evaluation method of the first aspect or the equipment system reconstruction scheme evaluation method of the second aspect.

[0030] In a fifth aspect, the present application provides a computer program product, comprising a computer program, and the computer program is executed by a processor to implement the equipment system reconstruction scheme evaluation method of the first aspect or the equipment system reconstruction scheme evaluation method of the second aspect.

[0031] According to the specific embodiments provided by the present application, the following technical effects are disclosed:

[0032] The present application provides an equipment system reconstruction scheme evaluation method, device, medium and product, which combines the characteristics of the equipment system structure, relies on the equipment system structure of "equipment-equipment system capability-equipment system task", and gradually transfers from the evaluation of equipment in the equipment system to the system task, and then aggregates to obtain the task completion probability of the equipment system. According to the task completion probability of the initial state equipment system, the task completion probability of the attack failure state equipment system and the task completion probability of the reconstructed equipment system, the robustness of the reconstructed equipment system is evaluated; according to the reconstruction time (including the reconstruction start time and the reconstruction end time) of the reconstructed equipment system and the attack failure start time of the attack failure state equipment system, the reconstruction efficiency of the reconstructed equipment system is evaluated, which realizes the reasonable evaluation of the reconstruction effect and the reconstruction efficiency of the equipment system, and can better adapt to various reconstructable equipment systems, and has strong method originality and practical significance. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed in the embodiments will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained based on these drawings without creative labor.

[0034] Figure 1 An application environment diagram of a reconfiguration scheme evaluation method for an equipment system in Embodiment 1 of the present application;

[0035] Figure 2 A flowchart of a reconfiguration scheme evaluation method for an equipment system in Embodiment 1 of the present application;

[0036] Figure 3 A structure diagram of a redundant capability ring in Embodiment 1 of the present application;

[0037] Figure 4 A structure diagram of an equipment system task network in Embodiment 1 of the present application;

[0038] Figure 5 A diagram of an equipment system reconfiguration process in Embodiment 1 of the present application;

[0039] Figure 6 A structure diagram of a computer device provided in Embodiment 2 of the present application. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0041] In order to make the above purposes, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] Embodiment 1

[0043] The reconfiguration scheme evaluation method for an equipment system provided in the embodiments of the present application can be applied to, for example, Figure 1The application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data required by the server 104 to process. The data storage system can be set up separately, or integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the first equipment function data, the second equipment function data and the third equipment function data to be processed to the server 104, and after the server 104 receives the first equipment function data, the second equipment function data and the third equipment function data, first, the initial state equipment integrity evaluation value is calculated according to the first equipment function data, the strike failure state equipment integrity evaluation value is calculated according to the second equipment function data, and the post-reconstruction equipment integrity evaluation value is calculated according to the third equipment function data; Secondly, the initial state equipment system capability level estimate value is calculated according to the initial state equipment integrity evaluation value, the strike failure state equipment system capability level estimate value is calculated according to the strike failure state equipment integrity evaluation value, and the post-reconstruction equipment system capability level estimate value is calculated according to the post-reconstruction equipment integrity evaluation value; Then, the first task completion probability of the initial state equipment system completing the equipment system task is calculated according to the initial state equipment system capability level estimate value, the second task completion probability of the strike failure state equipment system completing the equipment system task is calculated according to the strike failure state equipment system capability level estimate value, and the third task completion probability of the post-reconstruction equipment system completing the equipment system task is calculated according to the post-reconstruction equipment system capability level estimate value; According to the first task completion probability, the second task completion probability and the third task completion probability, the robustness of the post-reconstruction equipment system is evaluated, and the robustness evaluation value is obtained; And according to the reconstruction time of the post-reconstruction equipment system and the strike failure start time of the strike failure state equipment system, the reconstruction efficiency of the post-reconstruction equipment system is evaluated, and the reconstruction efficiency evaluation value is obtained; Finally, according to the robustness evaluation value and the reconstruction efficiency evaluation value, the comprehensive evaluation value of the post-reconstruction equipment system is calculated. The server 104 can feed back the comprehensive evaluation value obtained to the terminal 102. In addition, in some embodiments, the equipment system-oriented reconstruction scheme evaluation method can also be realized by the server 104 or the terminal 102 alone, such as the terminal 102 can directly process the first equipment function data to be processed, the second equipment function data to be processed and the third equipment function data to be processed using the equipment system-oriented reconstruction scheme evaluation method, or the server 104 can obtain the first equipment function data to be processed, the second equipment function data to be processed and the third equipment function data to be processed from the data storage system, and process them using the equipment system-oriented reconstruction scheme evaluation method.

[0044] The terminal 102 can be, but is not limited to, various desktop computers, notebook computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things device can be a smart speaker, a smart television, a smart air conditioner, a smart vehicle device, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 can be implemented by a stand-alone server or a server cluster composed of multiple servers, and can also be a cloud server.

[0045] The embodiment provides an equipment system-oriented reconstruction scheme evaluation method, which is executed by a computer device, and can be executed by a terminal or a server, or by a terminal and a server together. In the embodiment, the method is applied to the server 104 in Figure 1 The server 104 in the embodiment is taken as an example to illustrate the method, which includes the following steps 201 to 208. In the embodiment, the server 104 in the equipment system 100 is taken as an example to illustrate the method, which includes the following steps 201 to 208.

[0046] In step 201, first equipment function data, second equipment function data, and third equipment function data are obtained. The first equipment function data is function data corresponding to each equipment in an initial state equipment system. The second equipment function data is function data corresponding to each equipment in a strike-failure state equipment system. The strike-failure state equipment system is obtained by performing a strike-failure operation on the initial state equipment system. The third equipment function data is function data corresponding to each equipment in a reconstructed equipment system. The reconstructed equipment system is obtained by performing a reconstruction operation on the strike-failure state equipment system.

[0047] In step 202, an initial state equipment integrity evaluation value is calculated according to the first equipment function data. The initial state equipment integrity evaluation value is an integrity evaluation value of each equipment in the initial state equipment system.

[0048] In step 203, a strike-failure state equipment integrity evaluation value is calculated according to the second equipment function data. The strike-failure state equipment integrity evaluation value is an integrity evaluation value of each equipment in the strike-failure state equipment system.

[0049] In step 204, a reconstructed equipment integrity evaluation value is calculated according to the third equipment function data. The reconstructed equipment integrity evaluation value is an integrity evaluation value of each equipment in the reconstructed equipment system.

[0050] In step 205, an initial state equipment system capability level estimation value, a strike-failure state equipment system capability level estimation value, and a reconstructed equipment system capability level estimation value are calculated according to the initial state equipment integrity evaluation value, the strike-failure state equipment integrity evaluation value, and the reconstructed equipment integrity evaluation value, respectively.

[0051] Step 206, calculating a first task completion probability of the initial state equipment system completing the equipment system task according to the initial state equipment system capability level estimation value.

[0052] Step 207, calculating a second task completion probability of the strike failure state equipment system completing the equipment system task according to the strike failure state equipment system capability level estimation value.

[0053] Step 208, calculating a third task completion probability of the reconstructed equipment system completing the equipment system task according to the reconstructed equipment system capability level estimation value.

[0054] Step 209, evaluating the robustness of the reconstructed equipment system according to the first task completion probability, the second task completion probability and the third task completion probability, and obtaining a robustness evaluation value.

[0055] Step 210, evaluating the reconstruction efficiency of the reconstructed equipment system according to the reconstruction time of the reconstructed equipment system and the strike failure start time of the strike failure state equipment system, and obtaining a reconstruction efficiency evaluation value, wherein the reconstruction time comprises a reconstruction start time and a reconstruction end time.

[0056] Step 211, calculating a comprehensive evaluation value of the reconstructed equipment system according to the robustness evaluation value and the reconstruction efficiency evaluation value.

[0057] For some equipment system evaluation scenarios, since part of the data of the strike failure state equipment system is difficult to obtain, the embodiment further provides an example that the relevant data of the strike failure state equipment system is not considered in the steps 201-211, and the reconstructed equipment system is evaluated according to the respective corresponding data of the initial state equipment system and the reconstructed equipment system.

[0058] The equipment system reconstruction scheme evaluation method provided in the embodiment can establish a quantitative conduction relationship among the equipment, the equipment system capability and the equipment system task, and realize reasonable evaluation of the equipment system reconstruction effect and the reconstruction efficiency in combination with the equipment system reconstruction process.

[0059] The following takes steps 201 to 211 as an example. Since in the above steps 201 to 211, the method and process of establishing the quantitative transmission relationship between "equipment-equipment system capability-equipment system task" for the initial state equipment system, the equipment system in the fault-strike state, and the equipment system after reconstruction are the same, that is, the steps before calculating the task completion probability (the first task completion probability, the third task completion probability, or the third task completion probability mentioned in steps 201 to 211) adopt the same method, therefore, the following uses a general description to illustrate the specific process of establishing the quantitative transmission relationship between "equipment-equipment system capability-equipment system task", and further explains the specific process of aggregate evaluation of the equipment system reconstruction plan (steps 209 to 211), as shown in FIG. Figure 2 shown.

[0060] (1) Equipment integrity assessment based on the degree of damage.

[0061] (1-1): Get the function list of the equipment in the equipment system, which includes the function data corresponding to the equipment.

[0062] (1-2): Get the level value of each function of each device in the functional data.

[0063] Obtaining the functional level of equipment: For the equipment system to be evaluated, the set of design functional levels of individual equipment is C e ={c1,c2,...,c n}, used to characterize the functional levels of equipment, i=1,2,...,n, c i The range of is [0,1]. The functional level set under the mission requirements of a single equipment is expressed as It is used to characterize the level of each function of a single equipment required for the equipment system mission. The set of function levels of a single equipment at the evaluation time is expressed as Used to represent the functional level of the equipment at the time of evaluation.

[0064] (1-3): Calculates the damage level based on the level of each function of the equipment.

[0065] According to step (1-2), it can be seen that the level values ​​corresponding to various functions of a single piece of equipment include the functional level values ​​under mission requirements and the functional level values ​​at the time of evaluation. Therefore, this embodiment uses the functional level values ​​under mission requirements and / or the functional level values ​​at the time of evaluation to calculate the degree of damage in two ways.

[0066] Method 1: The degree of damage is relative.

[0067] Calculate the relative degree of damage of each function according to the functional level value under each task requirement and the corresponding functional level value at the evaluation moment, It is called function ci the relative damage degree of each function.

[0068] Method 2: the damage degree is the absolute damage degree.

[0069] According to the function level value corresponding to each task requirement, the absolute damage degree of each function is calculated, i.e. the absolute damage degree of function c i

[0070] (1-4): According to the damage degree of each function, the equipment integrity is evaluated.

[0071] When evaluating the equipment integrity, the core functions of the equipment need to be identified first.

[0072] The functions of each equipment can be divided into support functions (i.e. non-core functions) and core functions. Once the core functions of the equipment are lost, the equipment is considered to be unable to perform tasks, i.e. completely damaged. Here, it is assumed that the core functions of the equipment are c1, c2, and a core function vector M = [1, 1, 0, 0, …, 0] is constructed. In the vector, if the value at the i-th position is 1, it means that function c i is a core function, and if the value at the i-th position is 0, it means that function c i is a non-core function. This vector is helpful for quickly identifying core functions in software and engineering.

[0073] Since the core functions dominate when evaluating the equipment integrity, this embodiment calculates the equipment integrity evaluation value based on the relative damage degree and the absolute damage degree respectively on the basis of considering the core functions.

[0074] Method 1: calculate the second average value of the relative damage degrees of all the non-core functions; calculate the product between the relative damage degree of the core function and the second average value, to obtain the integrity evaluation value of each equipment, expressed as:

[0075]

[0076] Method 2: calculate the first average value of the absolute damage degrees of all the non-core functions; calculate the product between the absolute damage degree of the core function and the first average value, to obtain the integrity evaluation value of each equipment.

[0077] This embodiment uses steps (1-1) to (1-4) to calculate the integrity evaluation values of all the equipment in the equipment system one by one, to form an equipment information list containing the number of equipment, the type of equipment, and the integrity evaluation value, which is used for subsequent hierarchical evaluation.

[0078] ​The step (1) of the embodiment makes full use of the equipment function features and damage degree, and can more accurately evaluate the equipment integrity: in order to fully characterize the equipment integrity, the embodiment makes two designs: first, the function list of the equipment is fully sorted out, and the level value at the evaluation time is counted; second, the most core key function is found from the function list, and the damage degree thereof is separately represented in the calculation. Such design not only makes full use of the actual data of the equipment in the task process, but also emphasizes the importance of the key function, so that the calculation result is more accurate and more in line with the actual situation compared with the traditional integrity evaluation.

[0079] It should be noted that the embodiment can also integrate system mean time between failures, system fault detection time, fault isolation time, system mean delay time, system mean repair time, etc. to calculate the integrity evaluation value, so as to be used in evaluation scenarios with less data.

[0080] (2) Equipment system capability evaluation based on redundant capability ring: the capability of the redundant capability ring is used to represent the level of the corresponding equipment system capability.

[0081] (2-1): analyze the required conditions for completing the equipment system task, combine the equipment types and equipment quantities in the equipment system, and specifically propose a number of system capability requirements. In order to meet the requirements, a capability ring considering redundancy is constructed for each equipment system capability. That is, according to the equipment composition in the equipment system, a redundant capability ring with different equipment system capabilities is obtained by classification, wherein the redundant capability ring refers to a closed system formed by a plurality of equipment in cooperation and having a specific system capability, and the equipment includes redundant equipment and non-redundant equipment, and the redundant equipment refers to the same type of equipment.

[0082] Clarify the capability ring composition of the equipment system and the availability of each node (i.e. equipment) in the capability ring.

[0083] The capability ring is the medium for forming the equipment system capability, and the closure of the capability ring represents that a certain equipment system capability is available. The equipment system has how many equipment system capabilities, and there are how many corresponding capability rings.

[0084] A single capability ring is formed by a plurality of equipment in cooperation, and the closure of the ring represents that the equipment system has the single equipment system capability corresponding to the combat ring. According to the actual situation of combat, the capability ring of the equipment system should consider redundancy, and each node thereof represents an equipment, and the equipment includes redundant equipment and non-redundant equipment, and the redundant equipment refers to the same type of equipment. As shown in FIG. 1, redundancy exists in two forms. The first type is cold redundancy, for example, B is the redundancy of A, and B does not access the system when A works; the second type is hot redundancy, for example, F and G are redundant to each other, both of which access the system and work at the same time, and the system can still keep normal operation when any system fails. Let Figure 4 ​Figure 4 The redundancy capability ring shown is a strike ring, and the closure of the redundancy capability ring means that the equipment system has strike capability (i.e., equipment system capability), and the performance of the redundancy capability ring determines the strength of the strike capability of the equipment system.

[0085] (2-2) Decompose the redundancy capability ring into basic capability rings according to the redundancy equipment.

[0086] For the redundancy capability ring, the closure probability needs to consider the closure probability of each basic capability ring under it, i.e., the closure probability of the sub-ring (i.e., basic capability ring) formed by the minimum equipment set capable of completing the task of the equipment system. Since the C and D, F and G nodes of the redundancy capability ring are mutually redundant, it can be further decomposed to form four basic capability rings, as shown in Table 1.

[0087] Table 1 Decomposition of the redundancy capability ring

[0088] Basic capability ring number Equipment configuration 1 H→A→C→E→F→H 2 H→A→D→E→F→H 3 H→A→C→E→G→H 4 H→A→D→E→G→H

[0089] (2-3) Calculate the closure complexity of each basic capability ring.

[0090] In the process of equipment system operation, the performance of the redundancy capability ring is first affected by the closure complexity of the capability ring, and the closure complexity L op of the capability ring is the aggregation result of the closure time and the link length between nodes in the redundancy capability ring.

[0091] Therefore, for the closure complexity of a single basic capability ring, the closure complexity of the basic capability ring is calculated according to the closure time and the link length of adjacent nodes in the basic capability ring, wherein the adjacent nodes refer to two adjacent equipment having a connection relationship in the basic capability ring.

[0092] Let the closure complexity of each basic capability ring be L m , and L min is the closure complexity of the smallest basic capability ring in the redundancy capability ring, then the closure complexity L op of the redundancy capability ring is L min , that is, the smallest closure complexity is taken as the closure complexity of the redundancy capability ring.

[0093] Taking the basic capability ring shown in Table 1 as an example, the closure complexity of the basic capability ring can be calculated by the following formula:

[0094] L m1 = (T·L) A→C + (T·L) C→E + (T·L) E→G + (T·L) G→H + (T·L) H→A (2);

[0095] Where, T is the closing time between adjacent nodes, which contains the execution time, waiting time, response time, etc. of each step; L represents the link length between adjacent nodes, which can represent the information transmission complexity between two nodes and other actual factors.

[0096] (2-4) Calculate the basic capability ring closing probability according to the reconstructed equipment integrity evaluation value, and further calculate the redundant capability ring closing probability.

[0097] For each basic capability ring in the equipment system, the integrity evaluation value D e has been calculated in step (1), and each equipment in the basic capability ring is in series. Therefore, the closing probability of each basic capability ring can be understood as the product of the integrity evaluation value of each equipment in the ring. In Figure 3 In the case shown, each basic capability ring is in parallel in the strike capability ring, and the connection of any basic capability ring corresponds to the connection of a redundant capability ring. Let there be m basic capability rings in the redundant capability ring, and the number of equipment in each basic capability ring is n j (j = 1, 2,..., m), and each equipment in the ring is represented as C ij (i = 1, 2,..., n). Then the closing probability of the redundant capability ring can be represented as:

[0098]

[0099] (2-5) Calculation of equipment system capability level estimate value.

[0100] After obtaining the closing probability of the redundant capability ring and the closing complexity of the redundant capability ring, the equipment system capability level evaluation value can be calculated. Generally, the higher the closing complexity of the basic capability ring corresponding to the equipment system capability, the lower the closing probability under the same conditions. Therefore, the basic capability ring closing probability is weighted, that is, the lower the weight of the more complex basic ring. Therefore, the system capability level evaluation value E op can be represented as:

[0101]

[0102] According to the formula, all equipment system capability levels of the equipment system can be calculated to form a list of system capability values for subsequent high-level evaluation.

[0103] The embodiment adopts the above step (2) to more accurately characterize the composition of the equipment system capability, and realizes the evaluation of the equipment system capability level in the case of considering redundant equipment: the embodiment considers the redundant capability ring and designs a closed probability calculation method, which can characterize the common hot backup and cold backup phenomena in the equipment system. Through the capability ring constituted by equipment cooperation and connection, the calculation of each equipment system capability level can be completed from the two dimensions of equipment itself and equipment interaction, the method is innovative, the process is operable, and the result is reasonable.

[0104] (3) Evaluate the task completion probability of the equipment system.

[0105] After obtaining the list of system capability values, it is necessary to continue to aggregate to the task level of the equipment system to obtain the task completion probability of the equipment system. Through task network reasoning, the calculation result of the task completion probability of the equipment system is obtained, and the specific process is as follows:

[0106] (3-1) Divide the equipment system task into several subtasks.

[0107] The equipment system task is decomposed to obtain several logically associated subtasks, and the list of system capabilities required to complete each subtask is obtained.

[0108] The mission of the equipment system is high-level, abstract or conceptual, and it needs to be materialized or executable, and this process is completed through equipment system task decomposition. First, the effect of each subtask needs to be valued, so as to decompose the equipment system task into several weighted subtasks:

[0109] f(s)=r1ω1+r2ω2+...+r n ω n (5);

[0110] In the formula, r represents the effect value of the subtask (r∈[0,1]); ω represents the importance weight of each subtask obtained through sensitivity analysis, and Through the formula, the equipment system task can be decomposed into the subtask level, and then the logical analysis of the subtask is performed to obtain the coupling relationship of each subtask and the list of system capabilities required.

[0111] (3-2) According to the coupling relationship between each subtask and the task-capability cross-linking relationship, construct the equipment system task network, obtain the task completion probability of the equipment system from the equipment system capability level estimate value of each equipment system and the task transmission relationship, wherein the task-capability cross-linking relationship refers to the association relationship between each subtask and the corresponding required system capability.

[0112] Construction of the equipment system task network: Through the equipment system task network, the composition of the system subtasks, the capability requirements and the logical relationship between the tasks are characterized, so as to complete the calculation of the subsequent task completion probability. There are many theoretical methods for constructing the equipment system task network, which all contain subtask nodes, equipment system capability nodes and task success probability transfer formula. Figure 4 The equipment system task network constructed by the Bayesian network method is shown. Figure 4 In the figure, each T node represents each subtask of the equipment system, and each C node represents each equipment system capability of the equipment system. The arrows represent the logical relationship between the completion of each node. The completion of task T6 is the completion of the equipment system task, and this network provides a structural basis for the derivation of the equipment system task completion probability.

[0113] Calculation of the equipment system task completion probability: According to the equipment system task network, the equipment system task completion probability is calculated. For the system subtasks T k (k = 1, 2,..., p), the required equipment system capability set is EP k = {E 1k ,E 2k ,...,E lk ,...,E qk}(l = 1, 2,..., q). ω lk represents the contribution rate of the lth equipment system capability to the completion of the subtask T k , then the completion probability of the subtask can be expressed as:

[0114]

[0115] On this basis, the overall task completion probability of the equipment system can be derived through the logical relationship between the subtasks. Taking the Bayesian network as an example, the conditional probability distribution table of each subtask node needs to be obtained before the task completion probability can be calculated. Assuming that the equipment system task network has a total of p subtasks, for each subtask T k (k = 1, 2,..., p), the conditional probability distribution table P(T k Pa(T k )) corresponding to the parent node Pa(T k ) is obtained, then the overall task completion probability of the equipment system task network is:

[0116]

[0117] Through the equipment system task completion probability, it can be reflected whether the current equipment system composition can successfully complete the established equipment system task. The subsequent steps will be based on the equipment system task completion probability to calculate higher-level indicators such as system robustness.

[0118] The above step (3) is adopted to more reasonably decompose the equipment system task, and the task completion probability calculation process is clearer: through the decomposition of the equipment system task, the system mission task (i.e., the equipment system task) can be decomposed to the sub-task level, and the logical relationship between the sub-tasks is sorted out. On this basis, the equipment system task network is designed, and the coupling relationship between the system sub-tasks and the task-capability cross-linking relationship are structuredly represented through the task network. The task probability calculation process based on the task network has the advantages of sufficient collection of equipment system data, more reasonable abstraction of task coupling relationship, and more clear capability support relationship, and the calculation process is also clearer compared with other methods.

[0119] It should be noted that other complex networks can also be used to construct the equipment system task network, such as GERT (Graphic Evaluation and Review Technique) technology, Petri net, etc. The corresponding task completion probability calculation method is adopted.

[0120] (4) System reconstruction scheme information aggregation evaluation based on equipment system task completion probability: the equipment system reconstruction scheme evaluation results are aggregated from the aspects of equipment system robustness and equipment system reconstruction efficiency.

[0121] (4-1) According to the above steps (1)-(3), the task completion probabilities of the initial state (normal state) equipment system, the strike failure state equipment system and the reconstructed equipment system can be calculated, the equipment system robustness evaluation value is obtained through the system robustness calculation formula, and the system reconstruction time is counted, and the system reconstruction efficiency is calculated.

[0122] Equipment system robustness evaluation: the equipment system robustness is task-oriented, and the task completion probabilities of the initial state, the strike failure state and the reconstructed equipment system are calculated to measure the change degree of the equipment system task completion probability. To calculate the robustness, the symbols in the process need to be clarified. Figure 5 The task completion probability P sos changes with time t. Among them, the initial state task completion probability is P0, which continuously decreases to P min after being struck or failed (i.e., the strike failure state), and then finally recovers to P re through reconstruction. The initial time of the equipment system task is t0, the strike failure start time is t a , the reconstruction start time is t r , the reconstruction completion time is t s , and the task completion time is t e .

[0123] Based on the above system reconfiguration process symbol definition, two robustness indexes suitable for different system evaluation scenarios and computational complexity are adopted in this embodiment:

[0124] 1) Equipment system absolute robustness. The equipment system absolute robustness refers to the ratio of the task completion probability of the equipment system after system reconfiguration (i.e. the third task completion probability) and the task completion probability of the initial state equipment system (i.e. the first task completion probability), that is:

[0125]

[0126] 2) Equipment system relative robustness. The equipment system relative robustness refers to the ratio of the task completion probability improved by system reconfiguration to the degree of task completion probability decrease caused by strike or failure, that is:

[0127]

[0128] The equipment system absolute robustness is suitable for the case where the system process information is unknown and only the initial and reconfigured state can be obtained, and the equipment system relative robustness is used for the case where the system obtains more information, such as the need for rapid evaluation and rapid feedback in actual combat process. After the system robustness is calculated, the system reconfiguration capability index can be calculated by aggregating other indexes.

[0129] Equipment system reconfiguration efficiency calculation: first, define the reconfiguration efficiency, let τ SOS = (t s -t a ) / (t s -t r ), which represents the ratio of equipment system reconfiguration time to single strike-reconfiguration cycle time. The larger this value, the higher the system reconfiguration efficiency; θ SOS = (t s，min -t a ) / (t s，min -t r ), which represents the maximum acceptable reconfiguration efficiency of the equipment system, which is determined by the composition of the equipment system. If the reconfiguration time is too short, there is not enough time for each reconfiguration operation to complete, making the reconfiguration scheme unachievable. The equipment system reconfiguration efficiency (i.e. reconfiguration efficiency evaluation value) calculation formula is as follows:

[0130]

[0131] (4-2) Aggregate the equipment system robustness and reconfiguration efficiency two indexes to calculate the comprehensive evaluation value of the equipment system reconfiguration scheme.

[0132] After the above calculation is completed, all the pre-sequenced indicators and data required for the evaluation of the equipment system reconstruction scheme are obtained, and the reconstruction efficiency can be weighted on a robust basis, so as to calculate the comprehensive evaluation value of the equipment system reconstruction scheme. Taking the absolute robustness of the equipment system as an example, the reconstruction scheme evaluation calculation process is as follows:

[0133]

[0134] The above step (4) of the embodiment considers the robustness and efficiency of the system reconstruction scheme, and the obtained equipment system reconstruction prevention evaluation result is more representative: the robustness represents the equipment system reconstruction effect, and the effect and efficiency of the equipment system reconstruction scheme are measured from two aspects. The robustness is calculated based on the task completion probability of the equipment system at different times, has strong method continuity and process rationality, and can reflect the equipment and task conditions considered in the reconstruction process. The reconstruction efficiency comprehensively represents each time index in the reconstruction process, and the robustness is aggregated to obtain the equipment system reconstruction scheme evaluation result, which has strong universality and quantifiability, can make full use of each data in the reconstruction process, and obtain reasonable reconstruction scheme evaluation result from multiple levels and multiple aspects, and has high engineering application value.

[0135] The application also provides an application scenario of the above-mentioned equipment system-oriented reconstruction scheme evaluation method. Specifically, the equipment system-oriented reconstruction scheme evaluation method provided in the embodiment can be applied to the scene of optimization of national defense equipment. The optimization scene of national defense equipment includes the equipment procurement link, the combat preparation and the logistics support link. The equipment system-oriented reconstruction scheme evaluation method provided in the embodiment belongs to the technical evaluation link in the equipment procurement. Specifically, in the equipment procurement link, the method of the embodiment is applied to first evaluate the performance and technology of the existing equipment, and through the analysis of the key indicators and performance data of the equipment, it can be determined whether the existing equipment needs to be updated, new equipment needs to be purchased or technology needs to be upgraded. The evaluation result will help decision makers make reasonable equipment procurement decisions and ensure the effectiveness and reliability of the equipment in the battle. In summary, the equipment system-oriented reconstruction scheme evaluation method provided in the embodiment can provide key decision support for the national defense department to optimize the procurement and updating strategy of the equipment, so as to improve the national defense capability and battle efficiency of the country.

[0136] Embodiment 3

[0137] The embodiment provides a computer device, which can be a server or a terminal, and the internal structure diagram thereof can be as shown in Figure 6The computer device shown in the figure includes a processor, a memory, an input / output interface (I / O for short), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store various data involved in the equipment system-oriented reconstruction scheme evaluation method provided in Embodiment 1. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement an equipment system-oriented reconstruction scheme evaluation method.

[0138] Those skilled in the art can understand that, Figure 6 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0139] Embodiment 4

[0140] The embodiment provides a computer device including a memory and a processor, and the memory stores a computer program, and the processor executes the computer program to implement the equipment system-oriented reconstruction scheme evaluation method provided in Embodiment 1.

[0141] Embodiment 5

[0142] The embodiment provides a computer readable storage medium storing a computer program, and the computer program is executed by a processor to implement the equipment system-oriented reconstruction scheme evaluation method provided in Embodiment 1.

[0143] Embodiment 6

[0144] The embodiment provides a computer program product including a computer program, and the computer program is executed by a processor to implement the equipment system-oriented reconstruction scheme evaluation method provided in Embodiment 1.

[0145] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0146] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, it can include the processes of the above-mentioned embodiments of each method. Any reference to memory, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc.

[0147] The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a blockchain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0148] The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, not all possible combinations of the technical features in the above embodiments are described, but as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0149] The principles and implementations of the present application are described in the specific examples herein, and the above examples are only used to help understand the method of the present application and its core idea; meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation and application range will be changed. In summary, the content of the specification should not be understood as a limitation of the present application.

Claims

1. A method for evaluating reconfiguration schemes for an equipment system, characterized by, The equipment system-oriented reconstruction scheme evaluation method comprises: obtaining first equipment function data, second equipment function data and third equipment function data, wherein the first equipment function data is function data corresponding to each equipment in an initial state equipment system; the second equipment function data is function data corresponding to each equipment in a strike failure state equipment system, the strike failure state equipment system being obtained by performing a strike failure operation on the initial state equipment system; and the third equipment function data is function data corresponding to each equipment in a reconstructed equipment system, the reconstructed equipment system being obtained by performing a reconstruction operation on the strike failure state equipment system; calculating an initial state equipment integrity evaluation value according to the first equipment function data, wherein the initial state equipment integrity evaluation value refers to an integrity evaluation value of each equipment in the initial state equipment system; calculating a strike failure state equipment integrity evaluation value according to the second equipment function data, wherein the strike failure state equipment integrity evaluation value refers to an integrity evaluation value of each equipment in the strike failure state equipment system; calculating a reconstructed equipment integrity evaluation value according to the third equipment function data, wherein the reconstructed equipment integrity evaluation value refers to an integrity evaluation value of each equipment in the reconstructed equipment system; calculating an initial state equipment system capability level estimation value, a strike failure state equipment system capability level estimation value and a reconstructed equipment system capability level estimation value according to the initial state equipment integrity evaluation value, the strike failure state equipment integrity evaluation value and the reconstructed equipment integrity evaluation value, respectively; calculating a first task completion probability of the initial state equipment system completing an equipment system task according to the initial state equipment system capability level estimation value; calculating a second task completion probability of the strike failure state equipment system completing the equipment system task according to the strike failure state equipment system capability level estimation value; calculating a third task completion probability of the reconstructed equipment system completing the equipment system task according to the reconstructed equipment system capability level estimation value; evaluating the robustness of the reconstructed equipment system according to the first task completion probability, the second task completion probability and the third task completion probability, to obtain a robustness evaluation value; evaluating the reconstruction efficiency of the reconstructed equipment system according to a reconstruction time of the reconstructed equipment system and a strike failure start time of the strike failure state equipment system, to obtain a reconstruction efficiency evaluation value, wherein the reconstruction time comprises a reconstruction start time and a reconstruction end time; calculating a comprehensive evaluation value of the reconstructed equipment system according to the robustness evaluation value and the reconstruction efficiency evaluation value.

2. The equipment system-oriented reconfiguration scheme evaluation method according to claim 1, characterized in that, The function data comprises a level value of each function of each equipment in the equipment system; the equipment system is the initial state equipment system, or the strike failure state equipment system, or the reconstructed equipment system; the functions comprise core functions and non-core functions; and each level value is a function level value under a task requirement. The specific calculation process of the integrity evaluation value comprises: For each of the equipment, the absolute damage degree of each function is calculated according to the function level value under each task requirement; The first average value of the absolute damage degrees of all the non-core functions is calculated; The product between the absolute damage degree of the core function and the first average value is calculated to obtain the integrity evaluation value of each of the equipment.

3. The method of claim 1, wherein, The function data comprises function level values of each function of each equipment in an equipment system, wherein the equipment system is the initial state equipment system, or the strike failure state equipment system, or the reconstructed equipment system; the function comprises a core function and a non-core function; each of the function level values comprises a function level value under a task requirement and a function level value at an evaluation moment; The specific calculation process of the integrity evaluation value comprises: For each of the equipment, the relative damage degree of each function is calculated according to the function level value under each task requirement and the corresponding function level value at the evaluation moment; The second average value of the relative damage degrees of all the non-core functions is calculated; The product between the relative damage degree of the core function and the second average value is calculated to obtain the integrity evaluation value of each of the equipment.

4. The method of claim 1, wherein, The specific calculation process of the reconstructed equipment system capability level estimation value comprises: According to the types and quantities of equipment in the reconstructed equipment system, a redundant capability ring with different equipment system capabilities is classified, wherein the redundant capability ring refers to a closed system formed by a plurality of equipment in cooperation and having a specific system capability, the equipment comprises redundant equipment and non-redundant equipment, and the redundant equipment refers to equipment of the same type; The redundant capability ring is decomposed into a basic capability ring according to the redundant equipment; The closure complexity of each of the basic capability rings is calculated according to the closure time and link length of adjacent nodes in the basic capability ring, wherein the adjacent nodes refer to two adjacent equipment in the basic capability ring having a connection relationship; The smallest closure complexity is taken as the redundant capability ring closure complexity; The basic capability ring closure probability is calculated according to the reconstructed equipment integrity evaluation value; The closure probability of the redundant capability ring is calculated according to the closure probabilities of all the basic capability rings; The reconstructed equipment system capability level estimation value corresponding to the redundant capability ring is calculated according to the closure probability of the redundant capability ring and the redundant capability ring closure complexity.

5. The method of claim 4, wherein, The specific calculation process of the third task completion probability comprises: According to the reconstructed equipment system, equipment system tasks are divided into a plurality of subtasks; An equipment system task network is constructed according to the coupling relationship between the subtasks and the task-capability cross-linking relationship, wherein the task-capability cross-linking relationship refers to the association relationship between each of the subtasks and corresponding required system capabilities; According to the level estimation value of the system capability node in the equipment system task network, a completion probability of the sub-task is calculated, wherein the level estimation value of the system capability node refers to the reconstructed equipment system capability level estimation value of the redundant capability ring corresponding to the same type of system capability; According to the completion probabilities of all the sub-tasks, a third task completion probability is calculated.

6. A method for evaluating reconfiguration schemes for an equipment system, characterized by, The equipment system-oriented reconstruction scheme evaluation method comprises: obtaining first equipment function data and third equipment function data, wherein the first equipment function data is function data corresponding to each equipment in an initial state equipment system; the third equipment function data is function data corresponding to each equipment in a reconstructed equipment system, the reconstructed equipment system being an equipment system obtained after a reconstruction operation on a strike-fault state equipment system, the strike-fault state equipment system being an equipment system obtained after a strike-fault operation on the initial state equipment system; calculating an initial state equipment integrity evaluation value according to the first equipment function data, wherein the initial state equipment integrity evaluation value refers to an integrity evaluation value of equipment in the initial state equipment system; calculating a reconstructed equipment integrity evaluation value according to the third equipment function data, wherein the reconstructed equipment integrity evaluation value refers to an integrity evaluation value of equipment in the reconstructed equipment system; correspondingly calculating an initial state equipment system capability level estimation value and a reconstructed equipment system capability level estimation value according to the initial state equipment integrity evaluation value and the reconstructed equipment integrity evaluation value, respectively; calculating a first task completion probability of the initial state equipment system in completing the equipment system task according to the initial state equipment system capability level estimation value; calculating a third task completion probability of the reconstructed equipment system in completing the equipment system task according to the reconstructed equipment system capability level estimation value; evaluating the robustness of the reconstructed equipment system according to the first task completion probability and the third task completion probability, to obtain a robustness evaluation value; evaluating the reconstruction efficiency of the reconstructed equipment system according to a reconstruction time of the reconstructed equipment system and a strike-fault start time of the strike-fault state equipment system, to obtain a reconstruction efficiency evaluation value, wherein the reconstruction time comprises a reconstruction start time and a reconstruction end time; calculating a comprehensive evaluation value of the reconstructed equipment system according to the robustness evaluation value and the reconstruction efficiency evaluation value.

7. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the equipment system-oriented reconstruction scheme evaluation method of any one of claims 1-5, or implement the equipment system-oriented reconstruction scheme evaluation method of claim 6.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the equipment system-oriented reconstruction scheme evaluation method of any one of claims 1-5, or implement the equipment system-oriented reconstruction scheme evaluation method of claim 6.

9. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the equipment system-oriented reconfiguration scheme evaluation method in any one of claims 1-5, or implement the equipment system-oriented reconfiguration scheme evaluation method in claim 6.

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