Method and system for improving and optimizing system toughness of management information system

Abstract

The invention belongs to the technical field of toughness improvement of a system composed of information systems, and discloses a toughness improvement optimization method and system for a management information system, and the method comprises the steps: obtaining a layout diagram of the management information system needing toughness optimization; analyzing the layout diagram to obtain position relation information and link relation information of the current management information system; obtaining a target toughness effective probability of the management information system; determining multiple groups of constraint conditions based on the position relation information and the link relation information, and determining cost parameters corresponding to each group of constraint conditions; inputting the multiple groups of constraint conditions, the cost parameters corresponding to each group of constraint conditions and the target toughness effective probability into a toughness improvement optimization model to obtain an output calculation result of the toughness improvement optimization model; and analyzing the calculation result to obtain an optimal toughness improvement scheme corresponding to the management information system and the cost corresponding to the optimal toughness improvement scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of improving the resilience of a system composed of information systems, and in particular to a method and system for optimizing the resilience of a management information system. Background Art

[0002] Currently, when deploying a system including a main system and multiple subsystems, the main system and the subsystems may be deployed in different geographical locations due to user needs. When the main system and / or the subsystem are damaged due to hacker attacks, fires, earthquakes, etc., due to different geographical locations, it is usually chosen to arrange backups of the main system and subsystems and multi-path links between nodes, so that the damaged main system and / or subsystem can be switched through backups and switching of link lines between nodes to improve the system's resistance to the impact of the above disasters and emergencies, thereby improving the resilience of the entire system.

[0003] However, although setting up backup for the main system and each subsystem and setting up multiple links between every two nodes can optimize the resilience of the entire system, the cost is high. Therefore, there is an urgent need for a method that can quantitatively optimize system resilience. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a management information system resilience improvement optimization method and system.

[0005] The present invention provides a method for optimizing the resilience of a management information system, the method comprising:

[0006] Obtain a layout diagram of the management information system that needs to be optimized for resilience;

[0007] Parsing the layout diagram to obtain the position relationship information and link relationship information of the current management information system;

[0008] Obtaining the effective probability of target resilience of the management information system;

[0009] Determine a plurality of groups of constraint conditions based on the position relationship information and the link relationship information, and determine a cost parameter corresponding to each group of constraint conditions;

[0010] Inputting the plurality of groups of constraints, the cost parameters corresponding to each group of constraints, and the target toughness effective probability into a toughness improvement optimization model to obtain an output calculation result of the toughness improvement optimization model;

[0011] The calculation results are analyzed to obtain the optimal resilience improvement plan corresponding to the management information system and the cost corresponding to the optimal resilience improvement plan.

[0012] Preferably, the layout diagram is:

[0013] G = (V, E), where V is a point set, representing the main system or subsystem respectively; E is an edge, indicating whether there is a link between the main system and each subsystem, and whether there are links between the subsystems.

[0014] Preferably, the position relationship information includes the position information of the main system and each subsystem, and the link relationship information includes whether there is a link between the main system and each subsystem, and whether the subsystems are linked to each other.

[0015] Preferably, obtaining the effective probability of the target resilience of the management information system includes:

[0016]

[0017] Among them, r i represents the probability of failure of the subsystem or main system at point i; y i Indicates whether there is a main system at position i, if yes, then y i =1, if not then y i =0; r ij represents the probability of disconnection between the subsystem or main system at point i and point j; x ij Indicates whether there is a link between the subsystem or main system at point i and point j. If yes, x ij =1, if not then x ij =0.

[0018] Preferably, the toughness improvement optimization model is:

[0019]

[0020] St

[0021]

[0022] y1=1 (3)

[0023] y i ≤z i i=2,3,……,n (4)

[0024] y i ≤t ij , i=2, 3,..., n; j=1, 2, 3,..., n (5)

[0025] y i =0,1 i=2,3,...,n (6)

[0026] x ij=0,1 i,j=1,2,3,...,n (7)

[0027] Among them, c i represents the cost of establishing a backup master system at subsystem i; d ij represents the cost required to establish a link between point i and point j if there is one; r represents the target resilience efficiency; z i Indicates whether to build a backup main system at point i. If yes, then z i =1, otherwise z i =0; t ij Indicates whether the subsystem at point i communicates with the subsystem at point j or the main system. If so, t ij =1, if otherwise t ij =0.

[0028] The present invention also provides a management information system resilience improvement optimization system, the system is used to implement any one of the methods, the system includes: a layout acquisition module, a parsing module, a probability acquisition module, a condition setting module, a calculation module and an analysis module;

[0029] The layout diagram acquisition module is used to acquire the layout diagram of the management information system that needs to be optimized for resilience;

[0030] The analysis module is used to analyze the layout diagram to obtain the position relationship information and link relationship information of the current management information system;

[0031] The probability acquisition module is used to obtain the effective probability of the target resilience of the management information system;

[0032] The condition setting module is used to determine multiple groups of constraint conditions based on the position relationship information and the link relationship information, and determine the cost parameters corresponding to each group of constraint conditions;

[0033] The calculation module is used to input the multiple groups of constraints, the cost parameters corresponding to each group of constraints, and the target toughness effective probability into the toughness improvement optimization model to obtain the output calculation result of the toughness improvement optimization model;

[0034] The analysis module is used to analyze the calculation results to obtain the optimal resilience improvement plan corresponding to the management information system and the cost corresponding to the optimal resilience improvement plan.

[0035] Preferably, the layout diagram is:

[0036] G = (V, E), where V is a point set, representing the main system or subsystem respectively; E is an edge, indicating whether there is a link between the main system and each subsystem, and whether there are links between the subsystems.

[0037] Preferably, the position relationship information includes the position information of the main system and each subsystem, and the link relationship information includes whether there is a link between the main system and each subsystem, and whether the subsystems are linked to each other.

[0038] Preferably, obtaining the effective probability of the target resilience of the management information system includes:

[0039]

[0040] Among them, r i represents the probability of failure of the subsystem or main system at point i; y i Indicates whether there is a main system at position i, if yes, then y i =1, if not then y i =0; r ij represents the probability of disconnection between the subsystem or main system at point i and point j; x ij Indicates whether there is a link between the subsystem or main system at point i and point j. If yes, x ij =1, if not then x ij =0.

[0041] Preferably, the toughness improvement optimization model is:

[0042]

[0043] St

[0044]

[0045] y1=1 (3)

[0046] y i ≤z i i=2,3,……,n (4)

[0047] y i ≤t ij , i=2, 3,..., n; j=1, 2, 3,..., n (5)

[0048] y i =0,1 i=2,3,...,n (6)

[0049] x ij =0,1 i,j=1,2,3,...,n (7)

[0050] Among them, c i represents the cost of establishing a backup master system at subsystem i; d ij represents the cost required to establish a link between point i and point j if there is one; r represents the target resilience efficiency; z i Indicates whether to build a backup main system at point i. If yes, then z i =1, otherwise z i =0; t ij Indicates whether the subsystem at point i communicates with the subsystem at point j or the main system. If so, t ij =1, if otherwise t ij =0.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] This application first quantifies the resilience optimization through the target resilience effective probability, and then inputs the constraints of the management information system that needs to be optimized for resilience, the cost parameters corresponding to the constraints, and the target resilience effective probability to be achieved into a pre-prepared resilience improvement optimization model for calculation, so as to obtain the optimal resilience improvement plan that can meet the resilience requirements and incur a lower cost, thereby achieving the effect of quantitative optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0054] Figure 1 The present invention is a flowchart of a method for optimizing the resilience improvement of a management information system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the embodiments of the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0057] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0058] Embodiment 1

[0059] like Figure 1 As shown, an embodiment of the present invention provides a management information system resilience improvement optimization method acting on a management information system. The management information system is composed of a main system and subsystems. Each subsystem operates in a unified and coordinated manner under the command of the main system. The method specifically includes:

[0060] Step S101, obtaining a layout diagram G=(V, E) of a management information system that needs to be optimized for resilience.

[0061] Among them, V is a point set, representing the main system or subsystem respectively; E is an edge, indicating whether there is a link between the main system and each subsystem, and whether there are links between the subsystems.

[0062] Step S102, parsing the layout graph G=(V, E) to obtain the position relationship information and link relationship information of the current management information system.

[0063] The location relationship information includes the location information of the main system and each subsystem, and the link relationship information includes whether there is a link between the main system and each subsystem, and whether the subsystems are linked to each other.

[0064] Step S103, obtaining the effective probability of the target resilience of the management information system.

[0065] For the embodiment of the present application, the resilience effective probability is a quantitative description of the resilience of the management information system defined in advance, which refers to the probability that the system can work normally after the management information system is affected by internal or external emergencies, that is, the probability that the system can run without interruption, for example: 99% or 99.9%. Correspondingly, the resilience failure probability refers to the probability that the system cannot work normally after being affected by internal or external emergencies. And there is the following formula:

[0066] The text formula is described as: Toughness effective probability = 1-toughness failure probability

[0067] The corresponding specific formula is:

[0068]

[0069] Among them, r i represents the probability of failure of the subsystem or main system at point i; y i Indicates whether there is a main system at position i, if yes, then y i =1, if not then y i =0; r ij represents the probability of disconnection between the subsystem or main system at point i and point j; x ij Indicates whether there is a link between the subsystem or main system at point i and point j. If yes, x ij =1, if not then x ij =0.

[0070] In addition, in the embodiment of the present application, the main system is set at the 1 o'clock position.

[0071] Step S104: determining a plurality of sets of constraint conditions based on the position relationship information and the link relationship information, and determining a cost parameter corresponding to each set of constraint conditions.

[0072] For the embodiment of the present application, the constraint conditions include the following six parts:

[0073] Condition 1. The reliability requirements of the entire management information system must be met: the entire management information system will fail only when the main system and all backup main systems fail, or when the main system and all backup main systems lose connection with all subsystems. In other words, the resilience efficiency of the optimal resilience improvement solution must be no less than the target resilience efficiency.

[0074] The specific formula corresponding to condition 1 is:

[0075]

[0076] Among them, r represents the target toughness efficiency. In the formula of condition 1, r i Parameters and rij The parameters are provided by the supplier who develops the management information system.

[0077] Condition 2. There must be a main system in the management information system;

[0078] The specific formula corresponding to condition 2 is:

[0079] y1=1

[0080] The specific meaning of this formula is: a main system is established at point 1.

[0081] Condition 3. For locations where a backup main system cannot be established, a backup main system cannot be established, so that the location where the backup main system is established in the optimal resilience improvement plan is a location where the backup main system can be established due to environmental factors such as geographical conditions;

[0082] The corresponding specific formula is:

[0083] y i ≤z i i=2,3,……,n

[0084] Among them, z i Indicates whether a backup main system can be built at point i. If yes, then z i =1, otherwise it is zero. This parameter is determined by on-site investigation.

[0085] Condition 4. The backup master system must be located in a location that can communicate with other locations

[0086] The corresponding specific formula is:

[0087] y i ≤t ij ,i=2,3,...,n; j=1,2,3,...,n

[0088] Among them, t ij Indicates whether the subsystem at point i can communicate with the subsystem at point j or the main system. If yes, then t ij =1, if not possible then zero. This parameter is determined by the management information system when it is designed.

[0089] Condition 5. Specify the decision variable y i The value of indicates whether the backup main system can be established at the subsystem location;

[0090] The corresponding specific formula is:

[0091] y i =0,1 i=2,3,...,n

[0092] Condition 6. Specify the decision variable xij The value of represents whether to establish links between nodes, that is, whether to establish links between the main system and subsystems and whether to establish links between subsystems;

[0093] The corresponding specific formula is:

[0094] x ij =0,1 i,j=1,2,3,...,n

[0095] Each set of constraints includes the above conditions 1 to 6. By modifying the decision variable y i and x ij The value of , thereby forming different sets of constraints, each set of constraints has a corresponding cost parameter. In the embodiment of the present application, the cost parameter is c i and ij Indicates that c i (i≠1) represents the cost of establishing a backup main system at subsystem i. This cost is calculated by the project's financial personnel based on the actual situation. ij It means if there is a link between point i and point j, the cost of establishing the link will be calculated by the financial staff of the project based on the actual situation.

[0096] Step S105, calling the toughness improvement optimization model, inputting multiple groups of constraints, cost parameters corresponding to each group of constraints, and target toughness effectiveness probability into the toughness improvement optimization model, and waiting for the toughness improvement optimization model to output calculation results.

[0097] For the embodiment of the present application, the specific model of the toughness improvement optimization model is as follows:

[0098] (1)

[0100] st

[0101] (2)

[0103] y1=1 (3)

[0104] y i ≤z i i=2,3,……,n (4)

[0105] y i ≤t ij , i=2, 3,..., n; j=1, 2, 3,..., n (5)

[0106] y i =0,1 i=2,3,...,n (6)

[0107] x ij =0,1 i,j=1,2,3,...,n (7)

[0108] Among them, formula (1) in the resilience improvement optimization model is used to calculate the cost of minimizing the establishment of points (main system, subsystem) and links between points and the cost of building a backup main system under multiple sets of constraints.

[0109] The calculation result output of the toughness optimization model is in the form of: i =0,1(i=2,3,...,n),x ij =0, 1 (i, j = 1, 2, 3, ..., n), assuming n is 4, and the calculation results are: y2 = 0, y3 = 1, y4 = 0, x 12 =0,x 13 =1,x 14 =0,x 23 =1,x 24 =0,x 34 =1.

[0110] Step S106, analyzing the calculation results to obtain the optimal resilience improvement plan corresponding to the management information system and the cost corresponding to the optimal resilience improvement plan.

[0111] For the embodiment of the present application, the format of the optimal resilience improvement plan is: whether to establish a backup main system at the point where each subsystem is located, how many backup main systems need to be established, where specifically to establish the backup main system, and which links between the main system (or backup main system) and subsystems need to be established. Continuing with the case of step S105, the optimal resilience improvement plan can be obtained as follows: do not establish backup main systems at points 2 and 4, only need to establish one backup main system, establish it at the 3-point subsystem and establish links between points 1 and 3, and between points 2 and 3.

[0112] Furthermore, the cost corresponding to the current optimal toughness improvement solution can be directly obtained through formula (1) in the toughness optimization improvement model.

[0113] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0114] It should be noted that some embodiments of the present disclosure are described above. Other embodiments are within the scope of the attached claims. In some cases, it should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention. The actions or steps recorded in the claims can be performed in an order different from that in the above embodiment and still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] Embodiment 2

[0116] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present disclosure also provides a management information system resilience improvement optimization system, the system is used to implement any of the methods, the system includes: a layout map acquisition module, a parsing module, a probability acquisition module, a condition setting module, a calculation module and an analysis module;

[0117] The layout diagram acquisition module is used to acquire the layout diagram of the management information system that needs to be optimized for resilience;

[0118] The parsing module is used to parse the layout diagram to obtain the position relationship information and link relationship information of the current management information system;

[0119] The probability acquisition module is used to obtain the effective probability of the target resilience of the management information system;

[0120] The condition setting module is used to determine multiple groups of constraint conditions based on the position relationship information and the link relationship information, and determine the cost parameters corresponding to each group of constraint conditions;

[0121] The calculation module is used to input the multiple groups of constraints, the cost parameters corresponding to each group of constraints, and the target toughness effective probability into the toughness improvement optimization model to obtain the output calculation result of the toughness improvement optimization model;

[0122] The analysis module is used to analyze the calculation results to obtain the optimal resilience improvement plan corresponding to the management information system and the cost corresponding to the optimal resilience improvement plan.

[0123] In another possible implementation, the layout diagram is:

[0124] G = (V, E), where V is a point set, representing the main system or subsystem respectively; E is an edge, indicating whether there is a link between the main system and each subsystem, and whether there are links between the subsystems.

[0125] In another possible implementation, the location relationship information includes location information of the main system and each subsystem, and the link relationship information includes information on whether there is a link between the main system and each subsystem, and whether the subsystems are linked to each other.

[0126] In another possible implementation manner, obtaining the effective probability of the target resilience of the management information system includes:

[0127]

[0128] Among them, r i represents the probability of failure of the subsystem or main system at point i; y i Indicates whether there is a main system at position i, if yes, then y i =1, if not then y i =0; r ij represents the probability of disconnection between the subsystem or main system at point i and point j; x ij Indicates whether there is a link between the subsystem or main system at point i and point j. If yes, x ij =1, if not then x ij =0.

[0129] In another possible implementation, the toughness improvement optimization model is:

[0130]

[0131] st

[0132]

[0133] y1=1 (3)

[0134] y i ≤z i i=2,3,……,n (4)

[0135] y i ≤t ij , i=2, 3,..., n; j=1, 2, 3,..., n (5)

[0136] y i =0,1 i=2,3,...,n (6)

[0137] x ij =0,1i,j=1,2,3,...,n (7)

[0138] Among them, c i represents the cost of establishing a backup master system at subsystem i; d ij represents the cost required to establish a link between point i and point j if there is one; r represents the target resilience efficiency; z i Indicates whether to build a backup main system at point i. If yes, then z i =1, otherwise z i =0; t ij Indicates whether the subsystem at point i communicates with the subsystem at point j or the main system. If so, t ij =1, if otherwise t ij =0.

[0139] The system of the above embodiment is used to implement a corresponding management information system resilience improvement optimization method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0140] It should be noted that the above-mentioned management information system resilience improvement optimization system is embodied in the form of functional units. The term "module" here can be implemented in the form of software and / or hardware, and is not specifically limited to this.

[0141] For example, a "module" may be a software program, a hardware circuit, or a combination of the two that implements the above functions. The hardware circuit may include an application specific integrated circuit (ASIC), an electronic circuit, a processor (such as a shared processor, a dedicated processor, or a group processor, etc.) and a memory for executing one or more software or firmware programs, a combined logic circuit, and / or other suitable components that support the described functions.

[0142] The embodiments of the present disclosure are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method for improving the resilience of a management information system, characterized in that: The method comprises: Obtain a layout diagram of the management information system that needs to be optimized for resilience; Parsing the layout diagram to obtain the position relationship information and link relationship information of the current management information system; Obtaining the effective probability of target resilience of the management information system; Determine a plurality of groups of constraint conditions based on the position relationship information and the link relationship information, and determine a cost parameter corresponding to each group of constraint conditions; Inputting the plurality of groups of constraints, the cost parameters corresponding to each group of constraints, and the target toughness effective probability into a toughness improvement optimization model to obtain an output calculation result of the toughness improvement optimization model; The calculation results are analyzed to obtain the optimal resilience improvement plan corresponding to the management information system and the cost corresponding to the optimal resilience improvement plan.

2. The method according to claim 1, characterized in that The layout diagram is: G = (V, E), where V is a point set, representing the main system or subsystem respectively; E is an edge, indicating whether there is a link between the main system and each subsystem, and whether there are links between the subsystems.

3. The method according to claim 1, characterized in that The position relationship information includes the position information of the main system and each subsystem, and the link relationship information includes whether there is a link between the main system and each subsystem, and whether each subsystem is linked to each other.

4. The method according to claim 1, characterized in that: Obtaining the effective probability of the target resilience of the management information system includes: Among them, r i represents the probability of failure of the subsystem or main system at point i; y i Indicates whether there is a main system at position i, if yes, then y i =1, if not then y i =0; r ij represents the probability of disconnection between the subsystem or main system at point i and point j; x ij Indicates whether there is a link between the subsystem or main system at point i and point j. If yes, x ij =1, if not then x ij =0.

5. The method according to claim 4, characterized in that The toughness improvement optimization model is: y1＝1 (3) y i ≤z i i=2,3,……,n (4) y i ≤t ij ,i=2,3,……,n;j=1,2,3,……,n (5) y i =0,1 i=2,3,……,n (6) x ij =0,1 i,j=1,2,3,……,n (7) Among them, c i represents the cost of establishing a backup master system at subsystem i; d ij represents the cost required to establish a link between point i and point j if there is one; r represents the target resilience efficiency; z i Indicates whether to build a backup main system at point i. If yes, then z i =1, otherwise z i =0; t ij Indicates whether the subsystem at point i communicates with the subsystem at point j or the main system. If so, t ij =1, if otherwise t ij =0.

6. A management information system resilience improvement optimization system, the system is used to implement the method according to any one of claims 1 to 5, characterized in that: The system comprises: a layout acquisition module, a parsing module, a probability acquisition module, a condition setting module, a calculation module and an analysis module; The layout diagram acquisition module is used to acquire the layout diagram of the management information system that needs to be optimized for resilience; The analysis module is used to analyze the layout diagram to obtain the position relationship information and link relationship information of the current management information system; The probability acquisition module is used to obtain the effective probability of the target resilience of the management information system; The condition setting module is used to determine multiple groups of constraint conditions based on the position relationship information and the link relationship information, and determine the cost parameters corresponding to each group of constraint conditions; The calculation module is used to input the multiple groups of constraints, the cost parameters corresponding to each group of constraints, and the target toughness effective probability into the toughness improvement optimization model to obtain the output calculation result of the toughness improvement optimization model; The analysis module is used to analyze the calculation results to obtain the optimal resilience improvement plan corresponding to the management information system and the cost corresponding to the optimal resilience improvement plan.

7. The system according to claim 6, characterized in that The layout diagram is: G = (V, E), where V is a point set, representing the main system or subsystem respectively; E is an edge, indicating whether there is a link between the main system and each subsystem, and whether there are links between the subsystems.

8. The system according to claim 6, characterized in that The position relationship information includes the position information of the main system and each subsystem, and the link relationship information includes whether there is a link between the main system and each subsystem, and whether each subsystem is linked to each other.

9. The system according to claim 6, characterized in that Obtaining the effective probability of the target resilience of the management information system includes: Among them, r i represents the probability of failure of the subsystem or main system at point i; y i Indicates whether there is a main system at position i, if yes, then y i =1, if not then y i =0; r ij represents the probability of disconnection between the subsystem or main system at point i and point j; x ij Indicates whether there is a link between the subsystem or main system at point i and point j. If yes, x ij =1, if not then x ij =0.

10. The system according to claim 9, characterized in that The toughness improvement optimization model is: y1＝1 (3) y i ≤z i i=2,3,……,n (4) y i ≤t ij ,i=2,3,……,n;j=1,2,3,……,n (5) y i =0,1 i=2,3,……,n (6) x ij =0,1 i,j=1,2,3,……,n (7) Among them, c i represents the cost of establishing a backup master system at subsystem i; d ij represents the cost required to establish a link between point i and point j if there is one; r represents the target resilience efficiency; z i Indicates whether to build a backup main system at point i. If yes, then z i =1, otherwise z i =0; t ij Indicates whether the subsystem at point i communicates with the subsystem at point j or the main system. If so, t ij =1, if otherwise t ij =0.

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