A system performance recovery method and strategy support platform based on equipment adjustment

Abstract

The present application relates to the technical field of system performance optimization and resource scheduling, in particular to a system performance recovery method based on equipment adjustment and a strategy support platform thereof. The method comprises: inputting system information to be recovered; sequentially performing system reorganization feasibility evaluation and optimization, function replacement and spare parts commissioning evaluation, external allocation feasibility evaluation and optimization, and generating a recovery scheme; finally integrating the scheme and encoding output by using a preset encoding rule. The equipment adjustment operation is summarized as four basic types of system reorganization, function replacement, spare parts commissioning and external allocation. The strategy support platform comprises a hardware layer and a software layer, and through the internal scheme optimization program, the method process is automatically executed, the system information is received and the encoded optimal performance recovery strategy is output. The present application realizes the automatic generation and rapid decision of the system performance recovery strategy through the structured recovery process and the unified encoding system.

Description

Technical Field

[0001] This invention relates to the field of system performance optimization and resource scheduling technology, and more specifically to a system performance recovery method based on equipment adjustment and its strategy support platform. Background Technology

[0002] In the current technology, with the continuous development of science and technology, the complexity of various weapon and equipment systems is increasing. Complex systems are usually composed of several components, which have close functional coordination and interaction relationships. Through the synergistic effect between the components, the system can stably perform its due effectiveness to meet the functional requirements of actual application scenarios. At the same time, in the actual operation of the system, it will inevitably encounter various disturbances from both inside and outside the system. Such disturbances can cause varying degrees of damage to the system's components, leading to a decline in the system's original normal effectiveness and affecting the stable output of the system's functions.

[0003] Although existing technologies have recognized the structural characteristics of complex systems and the impact of disturbances on system performance, significant shortcomings remain in technical solutions for system performance recovery. Specifically, existing technologies lack system performance recovery methods and corresponding strategy support platforms from the perspective of equipment adjustment, and cannot automatically generate system performance recovery strategies. Consequently, after encountering internal or external disturbances, the system struggles to quickly and effectively restore its normal performance, and its ability to cope with internal and external disturbances falls short of practical application requirements. Therefore, relevant technical solutions are urgently needed to fill this gap.

[0004] In summary, the limitations of existing methods are mainly reflected in the lack of a systematic decision-making framework and automated strategy generation capabilities.

[0005] First, at the equipment adjustment level, different types of recovery operations, such as system reorganization, function replacement, spare parts deployment, and external allocation, have not been uniformly summarized and formalized, resulting in the recovery process relying on fragmented experience and making it difficult to achieve global optimization.

[0006] Secondly, at the decision-making process level, there is a lack of a structured process that can sequentially evaluate the feasibility of different adjustment operations and select the best solution.

[0007] Finally, at the strategy expression level, the lack of a low-dimensional, standardized coding system makes it difficult for recovery strategies to be quickly generated, parsed, and transmitted by automated algorithms, thus hindering a fundamental improvement in decision-making efficiency. Summary of the Invention

[0008] In view of this, the present invention provides a system performance recovery method based on equipment adjustment and a strategy support platform thereof, aiming to solve the core problem that the existing technology lacks a system performance recovery method based on equipment adjustment and a supporting strategy support platform, and cannot automatically generate system performance recovery strategies, resulting in insufficient system ability to cope with internal and external disturbances during the operation of complex systems. This invention aims to improve the system's ability to cope with internal and external disturbances to achieve performance recovery, and to provide support for users to obtain and select the best system performance recovery strategies, thereby improving the speed and level of related decision-making.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: A system performance recovery method and strategy support platform based on equipment adjustment, characterized by comprising the following steps: Step S1: Input the system information at the time of recovery. The system information includes: system equipment composition, system equipment status, status of other system equipment available for reconfiguration, equipment information contained in the external resource library, and distance to the external resource library. Step S2: Assess the feasibility of system reorganization, perform targeted optimizations, determine whether to execute the system reorganization operation, and if so, complete the code update of the reorganized system. Step S3: Based on the new system after system reorganization, assess the needs for functional replacement and spare parts deployment, formulate an internal system adjustment plan, and complete the updated system code after adjustment; Step S4: Based on the new system after system reorganization, assess the feasibility of external transfer, select the best transfer plan, and complete the system code update after transfer; Step S5: Integrate and encode the solutions obtained in steps S2 to S4, and output them to the user interface.

[0010] In a specific feasible implementation, the process of assessing the feasibility of system reconfiguration and performing targeted optimization in step S2 includes: Based on the damage to this system, identify any nearby reconfigurable systems. The system must meet the following criteria: be located within a reconfigurable geographical or spatial area, possess one or more intact equipment required by this system, and have compatible architectures between systems. For the set S consisting of all recombinable systems, arbitrarily select a subset s as a recombination combination and calculate the recombination value R of each recombination combination; Calculate the R value for all possible combinations s of S, and select one or more combinations with the highest R value to perform the system reorganization operation.

[0011] In one specific feasible implementation, the recombination value R is calculated using the following formula: in, Refers to the first before the reorganization i The number of faulty equipment in each system This indicates the number of redundant devices in the new system formed after system reorganization. This indicates that the new system repairs the sum of the number of devices repaired compared to the original system. This indicates the total number of all equipment in the new system. To correct the bias coefficient.

[0012] In a specific feasible implementation, the process of assessing the need for functional replacement and spare parts deployment and formulating an internal system adjustment plan in step S3 includes: Determine whether the restructured system needs to continue to be restored; if so, proceed to the next step. Identify whether there are available redundancies in the system and replace them; for failed equipment in the system, determine whether there are similar redundant equipment and perform spare parts deployment operations on the corresponding redundant equipment. After there is no available redundancy, identify whether there is equipment in the system that can be functionally replaced. For any failed equipment, calculate the fitness T of the m equipment that can be functionally replaced. Select the alternative equipment with the highest fitness T to perform the function replacement operation.

[0013] In one specific implementation, the fitness T is calculated using the following formula: in, This represents the functional level of the i-th alternative equipment. This indicates the required functional level of the position corresponding to the failed equipment in the system. These are parameters for functional degradation.

[0014] In a specific feasible implementation, the process of assessing the feasibility of external allocation and selecting the optimal allocation plan in step S4 includes: Determine whether the system needs to continue recovery; if so, proceed to the next step. Identify equipment that is currently in a disabled state, traverse all external resource libraries, and identify the resource library serial numbers containing the currently required equipment; Based on the principle of proximity and considering both transportation time and distance, the multi-target moth algorithm is selected to optimize the selection of equipment from the resource pool that needs to be allocated, thus forming a complete allocation plan.

[0015] In a specific feasible implementation, the equipment adjustment operation includes four basic types: system reorganization, functional replacement, spare parts deployment, and external allocation, and is described using a preset coding method; the preset coding method includes: Add a first specific symbol marker after the failed equipment; the first specific symbol marker is a hash symbol by default. For a new system that performs a system reorganization operation, a second specific symbol is added after the original system number it inherits. The second specific symbol is an asterisk by default. For function substitution operations, the function that is substituted is indicated in parentheses after the identifier of the substitute equipment; For spare parts deployment, a third specific symbol is added to redundant spare parts in a redundant state to distinguish them from the original equipment, and a fourth specific symbol is added to redundant spare parts that have been put into use to distinguish them from the original equipment; the third specific symbol is a single apostrophe mark by default, and the fourth specific symbol is a double apostrophe mark by default. For external transfer operations, add the identifier of the source resource library after the identifier of the transferred equipment.

[0016] In a specific feasible implementation, if it is determined in steps S3 and S4 that the system does not need to continue to recover, then proceed directly to step S5.

[0017] In a specific feasible implementation, the four types of equipment adjustment operations described in steps S2, S3, and S4—system reorganization, function replacement, spare parts deployment, and external allocation—are executed sequentially.

[0018] A system performance recovery strategy support platform based on equipment adjustment is characterized by comprising a processor and a memory, wherein the memory stores a computer program, and the computer program, when executed by the processor, implements the method described above.

[0019] Compared with existing technologies, the system performance recovery method and strategy support platform based on equipment adjustment described in this invention are used to quickly generate and optimally output performance recovery strategies in scenarios where equipment failure and performance degradation are caused by internal or external disturbances to the system. By summarizing and encoding four types of equipment adjustment operations—system reorganization, functional replacement, spare parts deployment, and external allocation—and combining sequential feasibility assessments and multi-objective optimization algorithms, the method achieves automated generation and decision support of recovery strategies, effectively improving the system's recovery speed and decision-making level in response to disturbances, and has the following beneficial effects: 1. Through operational induction and coding innovation, a data foundation for strategy automation was laid. This invention systematically summarizes four basic equipment adjustment operations in the system performance recovery process and designs a corresponding unified coding representation method. This low-dimensional, formalized expression provides a unified data structure foundation for the automatic generation, efficient transmission, and accurate parsing of complex recovery strategies, fundamentally overcoming the automation obstacles caused by chaotic operation definitions and inconsistent expressions in existing methods.

[0020] 2. Through process innovation, the overall optimization of the recovery plan was ensured. This invention proposes a structured system performance recovery process, clarifying the sequential execution logic and optimization criteria for four types of equipment adjustment operations. This process, through step-by-step and collaborative feasibility assessment of system reorganization, adaptive selection of functional substitution and spare parts deployment, and optimization of external resource allocation scheduling, can generate a recovery plan with superior overall performance in terms of recovery degree and resource cost, thereby significantly improving the integrity and economy of system performance recovery.

[0021] 3. Through the platform, a closed loop from methodology to product has been completed. The strategy support platform designed in conjunction with this invention integrates the above-mentioned methods into software algorithms. Relying on the collaborative work of hardware such as processors and memory, it achieves automatic reception of system state information and automatic output of optimal recovery strategies. This design automates the entire process from disturbance identification to strategy generation, greatly improving the efficiency of user decision-making and the reliability of the system. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0023] Figure 1 This is an overall flowchart of a system performance recovery method based on equipment adjustment as described in this invention.

[0024] Figure 2 This is a schematic diagram of the system performance recovery strategy support platform based on equipment adjustment as described in this invention.

[0025] Figure 3 This is a schematic diagram of the system reorganization operation during equipment adjustment as described in this invention.

[0026] Figure 4 This is a schematic diagram of the function substitution operation process in the equipment adjustment described in this invention.

[0027] Figure 5 This is a schematic diagram illustrating the process of putting spare parts into use during equipment adjustment as described in this invention.

[0028] Figure 6 This is a schematic diagram illustrating the process of external allocation operation during equipment adjustment as described in this invention. Detailed Implementation

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] like Figure 1 As shown, the system performance recovery method based on equipment adjustment according to the present invention includes the following steps: Step S1: Input the system information required for the recovery process into the platform. This information includes: system equipment composition, system equipment status, status of other system equipment available for reconfiguration, equipment information contained in the external resource library, and distance to the external resource library.

[0031] Step S2: Assess the feasibility of system reorganization and perform targeted optimizations. The process is as follows: Based on the damage to this system, identify any nearby reconfigurable systems. These systems must meet at least three of the following requirements: they are located within a reconfigurable geographical or spatial area; they possess one or more intact pieces of equipment required by this system; and their inter-system architectures are compatible.

[0032] Evaluate the merge targets. System reorganization follows the principle of maximizing recovery and minimizing redundancy. For the set S consisting of all reorganizable systems, arbitrarily select a subset of it. ( The recombination value R can be obtained by the following calculation: In the formula, Refers to the first before the reorganization i The number of faulty equipment in each system This indicates the number of redundant devices in the new system formed after system reorganization. This indicates that the new system repairs the sum of the number of devices repaired compared to the original system. This represents the total number of all equipment in the new system (excluding faulty equipment). The correction bias coefficient is used to indicate the system's tendency to prioritize corrections during decision-making; a larger coefficient indicates a greater bias towards corrections, while a smaller coefficient indicates a greater bias towards fewer redundancies. The R value represents the overall value of the current reorganization combination s; a larger R value indicates higher value from system reorganization of the current combination.

[0033] Make a merger decision. Calculate the R-value for all possible combinations s in set S, and select one or more combinations with the highest R-value to perform the system reorganization operation as needed.

[0034] Complete the refactoring and coding process. Replace the codes in the refactored system according to the system's refactoring coding rules.

[0035] Step S3: Assess the need for functional replacement and spare parts deployment, and formulate an internal system adjustment plan. The process is as follows: Based on the restructured system, determine whether further recovery is necessary. If recovery is required, proceed to the next step; otherwise, proceed to step S5.

[0036] Identify and replace any available redundancies in the system. For failed equipment in the system, determine if there are similar redundant equipment, and then put the corresponding redundant equipment into service as spare parts.

[0037] After eliminating available redundancy, identify any equipment in the system that can be functionally replaced. Since the replacement equipment, after performing such an operation, will simultaneously perform the functions of both the original and the failed equipment, negatively impacting its overall functionality, it is necessary to select the optimal replacement equipment. For any failed equipment, the fitness T of the m equipment that can be functionally replaced is calculated as follows: In the formula, This represents the functional level of the i-th alternative equipment. This indicates the required functional level of the position corresponding to the failed equipment in the system. This is a function degradation parameter that measures the degree of functional decline of replaceable equipment when it is moved to a different job role. Select the alternative equipment with the highest fitness T to perform the functional replacement operation.

[0038] This step involves updating the system's coding after the spare parts are put into use and the functions are replaced.

[0039] Step S4: Assess the feasibility of external allocation and select the optimal allocation plan. The process is as follows: Based on the restructured system, determine whether further recovery is necessary. If recovery is required, proceed to the next step; otherwise, proceed to step S5.

[0040] Identify equipment that is currently in a disabled state, traverse all external resource libraries, and identify the resource library serial numbers containing the currently required equipment.

[0041] Based on the principle of proximity, and considering both transportation time and distance, the equipment to be allocated is selected from the resource pool using various methods to form a complete allocation plan. The selection process can employ the multi-objective moth algorithm to solve a multi-objective optimization problem for the resource pool, with transportation time and distance as the objective functions. Other algorithms capable of solving similar multi-objective optimization problems can also be applied here.

[0042] This step involves updating the coding of the system after the external transfer.

[0043] Step S5: Integrate and encode the solutions obtained in the above steps, and output them to the user interface. The process is as follows: The solutions obtained from the above steps are coded. The coding method is the same as that for the four types of equipment adjustment operations, that is, by adding specific symbols, brackets, and resource library identifiers, the equipment status and adjustment operations are described in a low-dimensional and formalized manner. For ease of understanding, an example is provided below. This example involves three systems numbered 1, 2, and 3. System 1 requires one piece of equipment A, B, and D, and System 2 requires one piece of equipment A, B, C, and D. There are four resource libraries numbered a, b, c, and d in this scenario, each containing several equipment spare parts. After a certain disturbance, some equipment in the three systems fails. Through the above steps, the system obtains a solution through a series of equipment adjustment measures from steps S1 to S4, as shown in Table 1.

[0044] Table 1. System Performance Recovery Scheme Coding Examples

[0045] By combining the coding rules for the four types of equipment adjustments, the schemes in the table can be decoded: System 1 and System 3 have undergone system reorganization, with 1 The system is labeled. It has three pieces of equipment: A, B, and C. Equipment B is a spare part, and equipment C performs the function of equipment D. System 2 replenishes equipment A and equipment B from resource pools b and d respectively through external allocation. In actual use, equipment that still fails after adjustment can be ignored in the table. This coding method can describe the system performance recovery plan with low data dimensionality.

[0046] Determine whether the optimized solution has fully restored the system. Output the solution to the user interface and explain the recovery status to the user.

[0047] System performance recovery strategy supports platform design The system performance recovery strategy support platform consists of four parts, such as... Figure 2 As shown, the processor, memory, and input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface; the processor provides computing and control capabilities; the communication interface is used to communicate with external terminals via a network connection; the memory and input / output interface are specifically as follows: (1) The built-in contents of the memory consist of three parts: the scheme optimization program, including Figure 1 Steps S2-S5 of the method shown; the user interface will be provided to the computer using the platform for inputting information and outputting solutions; the internal database stores the parameters required for optimization and various types of intermediate data.

[0048] The scheme optimization program is used for the system reorganization evaluation and optimization, function replacement and spare parts deployment evaluation, external allocation evaluation and selection, and scheme integration coding functions described in steps S2 to S5 above.

[0049] The user interface program is used to generate and provide system information input interfaces and performance recovery strategy output display interfaces on user devices.

[0050] The internal database is used to store optimization parameters, preset coding rules, and various types of transit data required during the system performance recovery process.

[0051] (2) The input / output interface functions as follows: inputting system status information provided by the user into the platform ( Figure 1 The method shown includes step S1), and the optimized, decoded recovery scheme is output to the user. The information transmission format includes string or JSON format.

[0052] The input / output interface is used to enable data interaction between user devices, memory, and processor. It inputs system status information provided by the user through the user interface to the platform (corresponding to...). Figure 1 (In step S1), the processor-generated and decoded performance recovery strategy is output to the user interface.

[0053] The processor calls and executes the scheme optimization program and user interface program in the memory, and accesses the internal database to automatically complete the entire process from system information input to the output of the best performance recovery strategy.

[0054] Basic types of equipment adjustment and their coding methods Type 1, System Reorganization and its Encoding System reconfiguration refers to the process of restoring the original normal functions of two or more damaged systems by merging them. System reconfiguration often involves changes and reconstruction of the interaction and coordination relationships between equipment within multiple systems. However, because it does not involve functional degradation or the allocation of external resources, it usually requires less time and results in less loss after system adjustment.

[0055] Consider an example of system reconfiguration. There are two systems, 1 and 2, each containing one piece of equipment A, B, C, and D. All four types of equipment are mission-essential. Each equipment type is numbered using a capital letter, with the number of letters representing the quantity of that type of equipment. Both systems can then be represented as follows: After the disturbance, equipment C and D in System 1 failed, and equipment A and B in System 2 failed. The failed equipment was marked with a # during coding. Due to the architectural compatibility between the two systems and the geographical distance supporting reconfiguration, their reconfiguration group was calculated to have high value, therefore a reconfiguration operation was performed. The reconfiguration will retain the still-intact equipment A, B, C, and D, while the failed equipment will be left in place, on standby, or abandoned, depending on the actual situation. This process is as follows: Figure 3 As shown.

[0056] After reorganization, ineffective equipment can be retained or removed from the coding system as needed. For the new system performing the reorganization operation, it will inherit the number of the smallest system before the reorganization and add a new number to the end of that number. Therefore, the new system resulting from the recombination of the two systems can be denoted as 1. The coding for the system reorganization process is shown in the table below: Table 2. Sample Recombination Coding for the System

[0057] Type 2, Functional Substitution and its Encoding Functional substitution refers to the process where, when one piece of equipment in a system fails, another type of equipment in the system immediately takes over the function of the failed equipment, thereby ensuring that the system can still perform its original tasks. Since other types of equipment usually cannot completely replace the failed equipment, functional substitution often results in functional degradation for the system.

[0058] Consider an example of function replacement. There is an existing system 3 containing one piece of equipment of each of four categories: A, B, C, and D. Equipment of categories A, B, and C are mission-essential. After a disturbance, equipment C in system 3 fails, and equipment D is identified as being able to partially replace the function of equipment C. Therefore, to restore system performance as quickly as possible, equipment D is used to perform the function replacement operation on equipment C, maintaining the system's ability to perform the mission. The failed equipment C is then left in the system, on standby, or abandoned, depending on the actual situation. The function replacement process is as follows: Figure 4 As shown.

[0059] Based on the aforementioned encoding rules, system 3, after being disturbed, can be represented as follows: After the function is replaced, if equipment C chooses to remain in place or abandon it, then system 3 can be represented as follows: Where D(C) represents the function that equipment D replaces equipment C in. Since the function replacement is implemented internally within the system, the system number remains unchanged.

[0060] Type 3, Spare Parts Deployment and Their Coding Spare parts deployment refers to the process of activating a spare part when a piece of equipment in the system fails, if a redundant spare part exists, to eliminate the adverse effects of the original equipment failure. Spare parts deployment is the simplest and fastest method for equipment adjustment, but carrying spare parts may incur additional costs for the system.

[0061] Consider an example of spare parts deployment. There is an existing system 4 containing one piece of equipment each of categories A, B, and C, plus a redundant spare for one piece of equipment of category C. Categories A, B, and C are mission-essential equipment. After a disturbance, the category C equipment in system 4 fails. At this time, the redundant spare for category C equipment is quickly activated, thereby rapidly restoring the system's operational capability in the shortest possible time. The failed equipment C is then left in the system, on standby, or abandoned, depending on the actual situation. The process is as follows: Figure 5 As shown.

[0062] System 3 after being disturbed can be represented as After the spare parts are put into use, the system can be represented as follows: Where C' represents a redundant Class C spare part, and C” represents a Class C spare part that is already in use. Similarly, since no operations outside the system are involved, the system number remains unchanged.

[0063] Type 4, External Transfer and its Coding External allocation refers to the process of requesting equipment from outside the system to replace a faulty piece of equipment when the aforementioned equipment adjustment operations are not feasible. External allocation is the most time-consuming and costly type of equipment adjustment, and its use is generally avoided as much as possible.

[0064] Consider an example of external allocation. There is an existing system 5 containing one piece of equipment A, B, C, and D, all of which are mission-essential. To ensure the normal operation of the system, an external resource repository a is set up, containing one piece of equipment D, F, G, and H. After a disturbance, equipment D in system 5 fails, and it has been identified that there is no possibility of system reorganization, spare parts deployment, or functional replacement. Therefore, one piece of equipment D is allocated from resource repository a to system 5 to restore its ability to perform the mission. The process is as follows: Figure 6 As shown.

[0065] In the case of external allocation, the disturbance experienced by System 5 can be represented as follows: After performing an external transfer operation, it can be represented as Here, D_a indicates that the type D equipment in this system was transferred from external library a. Since the equipment-level coding for external transfers has been differentiated, the system coding remains unchanged before and after the operation.

[0066] The various embodiments described in this specification are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A system performance recovery method based on equipment adjustment, characterized in that, Includes the following steps: Step S1: Input the system information at the time of recovery. The system information includes: system equipment composition, system equipment status, status of other system equipment available for reconfiguration, equipment information contained in the external resource library, and distance to the external resource library. Step S2: Assess the feasibility of system reorganization, perform targeted optimizations, determine whether to execute the system reorganization operation, and if so, complete the code update of the reorganized system. Step S3: Based on the new system after system reorganization, assess the needs for functional replacement and spare parts deployment, formulate an internal system adjustment plan, and complete the updated system code after adjustment; Step S4: Based on the new system after system reorganization, assess the feasibility of external transfer, select the best transfer plan, and complete the system code update after transfer; Step S5: Integrate and encode the solutions obtained in steps S2 to S4, and output them to the user interface.

2. The system performance recovery method based on equipment adjustment according to claim 1, characterized in that, The process of assessing the feasibility of system reorganization and performing targeted optimization in step S2 includes: Based on the damage to this system, identify any nearby reconfigurable systems. The system must meet the following criteria: be located within a reconfigurable geographical or spatial area, possess one or more intact equipment required by this system, and have compatible architectures between systems. For the set S consisting of all recombinable systems, arbitrarily select a subset s as a recombination combination and calculate the recombination value R of each recombination combination; Calculate the R value for all possible combinations s of S, and select one or more combinations with the highest R value to perform the system reorganization operation.

3. The system performance recovery method based on equipment adjustment according to claim 2, characterized in that, The reorganization value R is calculated using the following formula: ； in, Refers to the first before the reorganization i The number of faulty equipment in each system This indicates the number of redundant devices in the new system formed after system reorganization. This indicates that the new system repairs the sum of the number of devices repaired compared to the original system. This indicates the total number of all equipment in the new system. To correct the bias coefficient.

4. The system performance recovery method based on equipment adjustment according to claim 1, characterized in that, The process of assessing the need for functional replacement and spare parts deployment and formulating an internal system adjustment plan as described in step S3 includes: Determine whether the restructured system needs to continue to be restored; if so, proceed to the next step. Identify whether there are available redundancies in the system and replace them; for failed equipment in the system, determine whether there are similar redundant equipment and perform spare parts deployment operations on the corresponding redundant equipment. After there is no available redundancy, identify whether there is equipment in the system that can be functionally replaced. For any failed equipment, calculate the fitness T of the m equipment that can be functionally replaced. Select the alternative equipment with the highest fitness T to perform the function replacement operation.

5. The system performance recovery method based on equipment adjustment according to claim 4, characterized in that, The fitness T is calculated using the following formula: ； in, This represents the functional level of the i-th alternative equipment. This indicates the required functional level of the position corresponding to the failed equipment in the system. These are parameters for functional degradation.

6. The system performance recovery method based on equipment adjustment according to claim 1, characterized in that, The process of assessing the feasibility of external allocation and selecting the optimal allocation plan in step S4 includes: Determine whether the system needs to continue recovery; if so, proceed to the next step. Identify equipment that is currently in a disabled state, traverse all external resource libraries, and identify the resource library serial numbers containing the currently required equipment; Based on the principle of proximity and taking into account both transportation time and distance, the equipment that needs to be allocated is selected from the resource pool to form a complete allocation plan.

7. The system performance recovery method based on equipment adjustment according to claim 1, characterized in that, The equipment adjustment operations include four basic types: system reorganization, function replacement, spare parts deployment, and external allocation, and are described using a preset coding method; The preset encoding method includes: Add a first specific symbol mark after the failed equipment; For a new system that performs a system reorganization operation, a second specific symbol is added after the original system number it inherits; For function substitution operations, the function that is substituted is indicated in parentheses after the identifier of the substitute equipment; For spare parts deployment operations, a third specific symbol is added to redundant spare parts in a redundant state to distinguish them from the original equipment, and a fourth specific symbol is added to redundant spare parts that have been put into use to distinguish them from the original equipment. For external transfer operations, add the identifier of the source resource library after the identifier of the transferred equipment.

8. The system performance recovery method based on equipment adjustment according to claim 1, characterized in that, If it is determined in steps S3 and S4 that the system does not need to continue recovery, then proceed directly to step S5.

9. The system performance recovery method based on equipment adjustment according to claim 1, characterized in that, The four types of equipment adjustment operations described in steps S2, S3, and S4—system reorganization, function replacement, spare parts deployment, and external allocation—are executed sequentially.

10. A system performance recovery strategy support platform based on equipment adjustment, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program that, when executed by the processor, implements the method as described in any one of claims 1-9.

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